Preprint
Review

This version is not peer-reviewed.

The Healthy and Diseased Retina Seen through Neuron-Glia Interactions

A peer-reviewed article of this preprint also exists.

Submitted:

22 December 2023

Posted:

25 December 2023

Read the latest preprint version here

Abstract
The retina is the sensory tissue responsible for the first stages of visual processing, with a conserved anatomy and functional architecture among vertebrates. To date, retinal eye diseases, such as diabetic retinopathy, age-related macular degeneration, retinitis pigmentosa, glaucoma and others, affect nearly 170 million people worldwide, resulting in vision loss and blindness. To tackle retinal disorders, the embryonic retina has been explored as a versatile model to study development, with a broad neurochemical repertoire, approached in the last decades in terms of signaling and diseases. Retina, dissociated and arranged as typical cultures are valuable to understand both neuronal and glial compartments, as mixed or neuron- and glia-enriched, and/or organized as neurospheres and/or as organoids which have contributed to reveal mechanisms between transmitter systems as well as antioxidants, trophic factors, and extracellular matrix proteins. Overall, contributions in understanding neurogenesis, tissue development, differentiation, connectivity, plasticity, and cell death are widely described. A complete access to the genome of several vertebrates, as well the recent transcriptome at the single cell level at different stages of development also anticipates future advances in providing cues to target blinding diseases or retinal dysfunctions.
Keywords: 
;  ;  ;  ;  

Introduction

The retina is the sensory tissue responsible for the first stages of visual processing. Retinal organization is as complex as other regions of the central nervous system (CNS), with quick and easy access, and a wide neurochemical repertoire such as in the brain. For these reasons, the retina is extensively used as a model for studying development and diseases [1,2,3,4] with several advantages whether used in vivo, ex vivo (as explants), or in vitro. Retina can be dissociated to generate different cell cultures, such as: (i) mixed cultures, (ii) neuron-enriched cultures, (iii) purified as Müller glia cultures, and (iv) neurospheres [5,6]. Recently, functional platforms originated from stem cell organoids are being engineered to mitigate ocular diseases [7]. Neurogenesis and tissue development is widely described in the embryonic and mature retina [8]. Access to the complete genome of several vertebrates including Mus musculus and Gallus gallus, as well as the transcriptome of individual cells at different stages of development are available [9,10].
All this information provides useful tools to translate into experimental strategies. Not less important, the cells that make up the retina express most of the transmitters and modulators present in other regions of the CNS. These advantages and the importance of the retina as a key sensory tissue, together with the fact that most diseases that cause blindness are consequences of retinal dysfunction, make the retina a fascinating model for the analysis of neural structure, function, development, and diseases [11].

Organization of the Retina

The basic plan of the retina organization is a highly conserved structure among all vertebrates. Five types of neurons are organized in three cell layers (nuclear) separated by two layers of synapse contacts (plexiform). The photoreceptors are in the outer nuclear layer (ONL), three types of interneurons (bipolar, amacrine, and horizontal cells) are in the inner nuclear layer (INL), and finally, the retinal ganglion cells and displaced amacrine cells are in the ganglion cell layer (GCL). Photoreceptors capture light and transform it into electrochemical signals. They make synapses with bipolar and horizontal cells in the outer plexiform layer (OPL), while ganglion cells make synapses with bipolar cells and amacrine cells in the inner plexiform layer (IPL). The axons of ganglion cells project from the eye and form the optic nerve, which will communicate with other brain regions to continue visual processing. Each class of cells are linked with specific connectivity patterns that generate ganglion cells with different sensitivities for stimuli such as edges, color contrasts, and moving or stationary objects. In addition, the retina also contains glial cells, the major one being the Müller glia, which interact symbiotically with all layers of the retina, potentially communicating with all cellular types. Müller glia intimate interaction with retinal neurons and microglia through secreted factors, including neurotransmitters, has been investigated in physiological and pathophysiological contexts [12]. Moreover, Müller glia role as an endogenous regenerative cell source in teleost fish and as a potential target for the development of new regenerative approaches in mammals have also received attention [13]. In addition, astrocytes which are found mostly in the nerve fiber layer and microglia, which invade the retinal tissue during the embryonic period are also key players in retinal homeostasis and in diseases [14].
Despite the retina's plan being preserved, the proportion and characteristics of cell types and subtypes and connectivity patterns vary among species. Birds are highly visual, with relatively large eyes compared to their skull, with sophisticated and high-acuity retinas [15]. For example, while most mammals have two types of cone photoreceptors, most birds are tetrachromatic, with cones sensitive to red, green, blue, and ultraviolet light [16].
The synapses between photoreceptors, bipolar, and ganglion cells are defined as the vertical pathway, and communication is mainly done through glutamatergic release in mature tissue. The communication of these cell types with horizontal and amacrine cells is defined as the horizontal pathway and it works mainly through inhibitory (GABAergic) synapses. In addition, there is an inhibitory structure endorsed by the GABAergic (and/or glycinergic) system in the horizontal pathway, mediated by horizontal and amacrine cells, which modulate neuronal excitability, vertical pathway, responsible for light preprocessing, such as contrast and approach sensitivity [17,18]. Although GABA and glutamate may be considered the main neurotransmitters the vertebrate retina presents most of the known neurotransmitters and also multiple neuropeptides [19]
Diverse messengers as acetylcholine, ATP, dopamine, adenosine and serotonin, peptides such as PACAP (Pituitary Adenylyl Cyclase polypeptide) and VIP (Vasoactive Intestinal Peptide), and lipid endocannabinoids (eCB) are present in the retina (Figure 1). The production and release of these molecules influence the functioning control of cell cycle and neuron differentiation throughout development to provide a mature retinal circuitry [20,21].

Neurotransmitters

Glutamate

Glutamatergic communication is essential to the retina, present early in development, and its dysfunctions are implicated in several disorders. Excitotoxicity, which occurs by the increased influx of calcium through ionotropic glutamate receptors (iGluRs), is often implicated in neuronal damage. Studies with cells or retinospheroids have shown that relatively short incubation periods (between 30 min and 2 hours), are enough to induce neuronal death, usually observed between 8 and 24 h after exposure, with a few dying numbers after 48 h. Calcium influx through iGluRs correlates with cell death [22]. In this sense, development of retinal degeneration strongly implicates in excitotoxicity, but also in inflammation and oxidative stress, as underlying mechanisms in glaucoma, in retinitis pigmentosa, diabetic retinopathy and retinal ischemia, among other diseases [23,24]. These effects are largely explained by the increase in the extracellular levels of excitatory amino acids (EAA), leading to retinal remodeling. Indeed, exposure to EAA or its analogues, depending on concentration and exposure time, leads to retinal cell death in two-dimension cultures, organotypic cultures and/or in ex vivo models [22,25]. Intravitreal administration of NMDA, an agonist of a receptor subtype of glutamate, is used to induce retinal excitotoxicity [26,27]. The NMDA receptor is also involved in synaptic plasticity, memory, and learning, to name a few physiological tasks. Although not exclusively, it has been shown as an essential mediator involved in ischemia and cell death in the last decades [28,29].
Calcium mobilization is essential in a myriad of phenomena since a cell is born, including growth, proliferation, cytoskeletal remodeling, adhesion cell, transcription of genes, but also in the activation of proteases, such as caspases, and in the induction of cell death [30]. Therefore, the availability of Ca2+ is highly regulated by the action of proteins that regulate its levels and cell imaging has been used as a reliable method to study neuron-glial circuits in the last 4 decades [31]. Excessive calcium entry induces excitotoxicity which leads to death through the activation of calcium-dependent enzymatic systems, such as nitric oxide neuronal synthase (nNOS), calpains and phospholipases [32]. Excessive disruption of calcium causes disturbance and loss of mitochondrial potential (∆Ψ), activating death programmed and unscheduled pathways [33]. In particular, GluN2B subunit is linked to PSD-95 through its carboxyl terminus, which couples to nitric oxide neuronal synthase (nNOS) which, from the excessive activation of the receptor, produces pro-death signals, leading to a reduction in CREB activity [25,33,34]. Due to the rich presence of iGluRs, the retina tissue is highly vulnerable to excitotoxicity, a mutual mechanism for diseases including hypoglycemia, hypoxia, ischemia, and chronic neurodegenerative diseases [35]. On the other hand, excessive activation of AMPA receptors also have been correlated to ischemia-like insult to Retinal ganglion cells (RGCs) [36], and its control might be a relevant therapeutic target in ocular neuropathies [35].
NMDAR stimulation activates the enzyme calcium calmodulin kinase III (CaMKIII) [37,38], currently known as eukaryotic Elongation Factor 2 kinase (eEF2K) due to the recognition that its only activity is the phosphorylation of Thr-56 of the translation factor eEF2 [39,40,41]. eEF2 mediates translocation of peptidyl-tRNA from the ribosomal A-site to P-site by GTP hydrolysis, consuming a significant amount of energy. When phosphorylated, this factor hinders the elongation phase of protein synthesis, blocking the growth of the polypeptide chain [42,43]. As a calcium-calmodulin complex (Ca2+-CaM)-dependent kinase, this enzyme has been implicated in several signaling processes, which require the rapid and transient inhibition of protein synthesis. Interestingly, over short timescales, changes in neuronal protein synthesis can occur completely independently of new transcription, for example, in response to stimuli in synaptosomes [44], isolated axons [45], and in dendritic spines [46].
It has been reported that the expression of some synaptic proteins, such as the alpha subunit of CaMKII in isolated synaptosomes [47] and brain-derived neurotrophic factor (BDNF) [48], paradoxically increases with NMDAR/Ca2+-CaM/eEF2K activation, despite this pathway inhibiting general protein synthesis, an effect that is not yet completely understood. Activation of the NMDAR/ Ca2+-CaM/eEF2K pathway was described to enhance the availability of intracellular free L-arginine contributing to increased NO synthesis by nNOS [37,38]. Therefore, NMDA-triggered Ca2+ signaling could operate in two different ways to increase NO production: 1) by activating nNOS directly and 2) by supplying the nNOS substrate, L-Arg. According to these models, protein synthesis could play an active role in the regulation of L-Arg “pools” and the synthesis of NO in neurons.
Furthermore, eEF2 phosphorylation mediated by NMDAR activation was clearly associated with CREB activation in the retina, an event that appears to depend on the increase in free L-arginine and the activation of nNOS [38]. Increased L-arginine has also been described during pharmacological treatments with cycloheximide or anisomycin (CHX or ANISO), where the PKG-dependent NO signaling pathway (canonical pathway) was shown to activate ERK and AKT [37,49]. It is known that both CREB, AKT, and ERK are widely associated with promoting survival, neuronal growth, synaptic plasticity, response to stress, and learning and memory [50,51,52].

γ-Aminobutyric Acid (GABA)

GABA is widely reported as the main inhibitory transmitter of the mature CNS of vertebrates [53,54,55], being estimated that around a third of all neurons are GABAergic [56]. GABA+ cells are mainly interneurons which are responsible for controlling the excitability of the local circuitry [57,58]. GABA is found in the retina of several vertebrates [54], present in subpopulations of horizontal, amacrine, and ganglion cells and in Müller glia in the avian retina [59,60,61,62,63,64]
GABA is mainly synthesized from glutamate via glutamate carboxylase (GAD) and stored in vesicles by the vesicular GABA transporter (VGAT) until its release at the synaptic cleft [65]. GAD has two isoforms named after their molecular weight GAD65 and GAD67 [66], which are rate-limiting enzymes that keep GABA levels [67]. GAD65 has been reported as a specialized and ready-to-synthesize GABA under short-term demand. It is found mostly on nerve terminals and has a readily inducible state which depends on neuronal activity [68]. It has also been described as essential for neuroprotection and development [65,69]. GAD67 has a more dispersed distribution on GABAergic neurons while mostly fully activated [68], and may also be responsible for glial GABA synthesis [70]. Recently it has been also described that glial GABA synthesis is generated by diamine oxidase (DAO) and aldehyde dehydrogenase A1 (Aldh1a1) [71]. In the enteric nervous system [72] and midbrain dopaminergic neurons GABA is suggested also to be produced by putrescine via ornithine decarboxylase [73,74] and diamine oxidase (DAO) [75]. Interference with GABA synthesis and uptake is linked to pathologies such as schizophrenia [76]. Interestingly, retinal glia is highly involved in glutamate and GABA uptake in the retina and Müller cells are affected by diabetes, turning into a reactive state and incapable of an efficient antioxidant control [24,77].
GABA receptors are classified as GABAA, GABAB, and GABAC. GABAA and GABAC are ligand-gated ion channels permeable selectively to Cl- with GABAA being also permeable to bicarbonate (HCO3-) to a lesser extent; and GABAB is a G-protein coupled receptor [55,78].
After release, GABA is cleared from the synaptic cleft by re-uptake by its high-affinity GABA transporters (GATs) in a Na+ and Cl- symport with substrate-dependent and ligand-gated ion channel properties [79]. The transporters are present in presynaptic terminals of GABAergic neurons and glial cells [80,81]. The GATs belong to the sodium symporters family, also known as the solute carrier 6 (SLC6) family [79,82] and are responsible for GABA uptake from the extracellular environment in favor of the Na+ gradient maintained by the Na+/K+ ATPase pump, however it can also release GABA through a transport gradient reversal mechanism in the retina [83,84]. In mammals, but not in avian retina, Müller glia uptake and recycle GABA. Similar reversal mechanisms were described for other neurotransmitter transporters such as for dopamine, glutamate, serotonin, and glycine [85,86,87].
GABA is released into the synaptic cleft in retina when stimulated by depolarization and exerts its effects pre- and post-synaptically via ionotropic (GABAA and GABAC receptors) and metabotropic (GABAB) receptors. In the retina, activation of iGluR in amacrine and horizontal cells promotes GABA release [88]. Dopamine inhibits the release of GABA induced by NMDA, but not by kainate, which effect could act directly in or near the NMDA receptor complex through mechanisms that seem not to involve known dopaminergic receptor systems [83,89,90]. NO, an endogenous mediator in the retina, might regulate the GABA release in a biphasic manner. Low and moderate NO production inhibit basal GABA release, mainly from amacrine cells and ganglionic cell layer (GCL) cells, while NMDA or L-arginine (at high concentration) induce a NO-dependent increase in GABA release in GCL cells [91]. The GABAergic system delineates an important physiological significance to modulate and contribute to control of sensory inputs in retinal function.
In the chicken retina, GAT-1 is responsible for about 90% of GABA uptake [92,93]. This transport is dependent on Na+ and Cl- and independent of Ca2+ [82,94] indicating that in the retina GABA, release is mainly mediated by receptor reversal and not exocytosis [61].
Additionally, in the chick retina model, it is known that several neurotransmitters and drugs might modulate the release of GABA, including glutamate, via NMDA and non-NMDA receptors [61,83,88,90,95,96] and aspartate, via selective activation of NMDA receptors [90,97]; ethanol [98], dopamine [90] and adenosine receptors, via protein kinase C (PKC) [99] and via A1R blockade with caffeine [61,95].

Dopamine

Dopamine is known as one of the main mediators in the vertebrate retina present in amacrine cell bodies and processes [100]. The synthesis of dopamine, as well as the other catecholamines depends on tyrosine hydroxylase (TH), the limiting enzyme for the synthesis of catecholamines and its cofactor tetrahydropterin, converting L-tyrosine to L-DOPA (3,4 dihydroxy-phenylalanine). After L-DOPA synthesis, it is rapidly metabolized to dopamine by aromatic amino acid decarboxylase (AADC) or by dopa decarboxylase (DDC), also capable of decarboxylating the amino acid tryptophan.
The change in endogenous levels of dopamine may be correlated with disorders such as myopia, since during development dopaminergic signaling regulates visual acuity and its modulation depends on several factors such as visual stimuli or chemical mediators [101]. Changes in the dopaminergic system are correlated with several effects, such as modification of neurogenesis, reduction of filopodial activity, neuritic retraction, reduction of conductance of GAP junctions, inhibition of GABA release, reduction of apoptosis and regulation of spontaneous neural activity [102]. These functions seem to be linked mainly to D1 receptors mediated effects [103].
Although noradrenaline and adrenaline also act as neurotransmitters in the mammalian retina, studies carried out in the chick retina demonstrate the absence of the noradrenaline-producing enzyme, dopamine-beta-hydroxylase, characterizing an absence of noradrenaline and adrenaline synthesis in this model being present, therefore, only the dopaminergic system [104]. Concomitantly, the retinal pigment epithelium (RPE) is capable of replenishing L-DOPA and synthesizing dopamine, due to the expression of DDC [105]; however, it does not express DAT, indicating the existence of another mechanism of dopamine transport through the membrane [106].
Dopamine receptors have been described in early stages of embryonic chick development [107] and has key roles in mature neurons. D1 receptors can be classified into subtypes D1A and D1B, which have different roles during differentiation [108,109]. A transient dopamine receptor controls the effects of dopamine on the morphology and motility of cultured retina neurons [110]. Indeed, a transient β1 adrenergic receptor was also found in the avian retina, through detection of mRNA and β1 adrenergic receptor protein in post-hatched tissue [111]. It was shown that norepinephrine cross-reacts with D1 dopaminergic receptor like dopamine in the embryonic retina, but as the retina matured, selective D1 receptor activation by dopamine or β1-like adrenergic receptors occurs in the mature tissue [111].
Components of the dopaminergic system are detected throughout the differentiation of amacrine cells in embryonic chick at E3-8, functional DAT is around E8, and D1 receptor at E7. These structures appear before the first spontaneous electrical activity in the developing retina (E8-E11). Additionally, TH (Tyrosine hydroxylase) which is one of the most important molecular components to characterize the dopaminergic phenotype has been reported to appear later in development in the chicken retina (E12). After maturation of the dopaminergic system, dopamine levels increase at around E15, which coincides with the peak of the A1 adenosine receptor density (E15) and a peak of intracellular cAMP accumulation (E16) by exogenous dopamine activation [59,102,105,111]. It is also known that during this period, a dopaminergic stimulus will promote an increase in cAMP and that stimulation with adenosine agonists will be able to partially inhibit this increase. The A2 adenosine receptor is expressed on E14 while A1 is present from E11 onwards [112]. The increase in cAMP levels is one of the factors for the increased differentiation of TH-positive cells [113]. Activation of PAC1 receptors by PACAP generates an increase in cAMP levels in chick retina cultures and modulates the expression of TH-positive neurons [114].
Among endogenous/exogenous factors specifically involved with the differentiation of dopaminergic cells are drugs that increase cAMP levels [113].

Endocannabinoid System

The endocannabinoid system controls neural excitability, mainly through the modulation of glutamate and GABA release, suggesting a relevant role in the visual encoding process. In this sense, it has been identified as the main circuit breaker in the nervous system [115], known to be involved in the modulation of synaptic transmission and plasticity [116] and in several physiological processes, from embryogenesis to late development and homeostasis maintenance in the mature tissue [117]. It is commonly acknowledged as the most abundant synaptic system in the brain [118], present early in development in neurons and glial cells [119]. This also happens in the retina, where several markers (receptor, enzymes and transporters) have been functionally characterized [120,121], in addition to its messengers (anandamide, 2-aracdonoyil glycerol and others), which are involved in visual processes [119,122,123] and in pathophysiological conditions affecting the ocular system, for example, in glaucoma or diabetic retinopathy [124,125,126,127]. The expression of cannabinoid receptors (CB1 and CB2), as well as TRPV channels in the vertebrate retina emerges early during retina development.
The presence of the endocannabinoid system in the retina began to be investigated by the end of the 1990’s. Initially, Schlicker demonstrated that cannabinoid agonists were capable of inhibiting dopamine release in guinea-pig retinas [128]. Buckley and coworkers observed that CB1 mRNA was detectable since E11 during rat embryogenesis [129]. Retinal development begins around E12 with ectoderm invagination in rats, which generates the lens vesicle and the inner neuronal layer of the optic cup (future neuronal layer of the retina) [130]. CB1 mRNA is detectable in the inner layer since E12, and in E13 it is already present in the retina, showing the importance of this system for development [131].
The presence of CB1 in the mature retina is highly conserved among vertebrates present in rhesus monkeys, mice, rats, chicks, goldfish, and tiger salamanders, to name a few [132]. These receptors are generally located at the synaptic layers, the inner and outer plexiform layers, in cones and/or rods, amacrine, and ganglion cells [133]. Other elements of the system are also found in ocular tissue, such as ligands and enzymes involved in the synthesis and degradation of endocannabinoids [134]. Functionally, it has been shown that cannabinoid agonists decrease the amplitude of voltage-gated L-type calcium channel currents in retinal bipolar cells, indicating their role in neuronal communication [133]. They also modulate calcium shifts in avian retinal Müller cells induced by ATP, but not in depolarized neurons [121]. Indeed, cannabinoid CB1 and purinergic P2X7 receptors have a role in avian retinal progenitors [135]. Besides, some aspects of retinal processing, such as modulation of response strength to visual stimulation, receptive field organization, and contrast sensitivity are also modulated by tonic endocannabinoid release in retina [136]. These receptors are generally located at the synaptic layers, the inner and outer plexiform layers, in cones and/or rods, amacrine, and ganglion cells [133]. Other elements of the system are also found in ocular tissue, such as ligands and enzymes involved in the synthesis and degradation of eCB [137]. Functionally, it has been shown that cannabinoid agonists decrease the amplitude of voltage-gated L-type calcium channel currents in retinal bipolar cells, indicating their role in neuronal communication [133]. They also modulate calcium shifts in avian retinal Müller cells induced by ATP, but not in depolarized neurons. Indeed, cannabinoid CB1 and purinergic P2X7 receptors have a role in avian retinal progenitors [135]. Besides, some aspects of retinal processing, such as modulation of response strength to visual stimulation, receptive field organization, and contrast sensitivity are also modulated by tonic eCB release in retina [136].
In the retina, CB1 is detected in ganglion cells since embryonic day 3 (~E3) [138]. Corroborating with their results, Leonelli and coworkers showed the presence of the CB1 receptor in the retinotectal system using conventional immunoperoxidase protocols. In their study, weak CB1 labeling could be detected since E4 in the retina and optic tectum, with the signal raising over development [139]. The eCB system is classically composed of cannabinoid receptors, endogenous cannabinoids (eCB), and the enzymes responsible for their synthesis and degradation. It is known that there are two major types of receptors, cannabinoid receptors type 1 (CB1) and 2 (CB2), both receptors coupled to G protein and involved in several cell signaling systems [140]. The activation of CB1 and CB2 is classically followed by the reduction of intracellular levels of cAMP, a consequence of the inhibition of the enzyme adenylate cyclase by the involvement of the Gi protein [141] among other elements.
Regarding function, Warrier and Wilson demonstrated that eCB play a modulatory role in regulating the release of neurotransmitters from embryonic retinal amacrine cells, indicating their involvement in fine-tuning synaptic transmission during the developmental stages of the visual system [142]. Chaves and colleagues explored the consequences of retinal removal on the expression of cannabinoid CB1 receptors in the optic tectum of chick brains [143]. Adult chicks were used in experiments conducted at various time intervals post-retinal lesion (ranging from 2 to 30 days). Notably, the study revealed no evidence of cell death in the deafferented tectum within the first 30 days post-lesion, although Fluoro-Jade B staining did indicate degenerating axons and terminals. Retinal ablation led to an increase in CB1 receptor protein levels in the optic tectum, as well as in other retinorecipient visual areas, coinciding with heightened MAP-2 staining and suggesting dendritic remodeling. However, CB1 receptor mRNA levels remained unaltered following retinal removal. These results imply that CB1 receptor expression in visual structures of the adult chick brain may be negatively regulated by retinal innervation. The increased CB1 receptor expression observed after retinal removal suggests that these receptors are not presynaptic in retinal axons projecting to the tectum, pointing to a potential role of the cannabinoid system in plasticity processes ensuing after retinal lesions.
Cannabinoid receptors and TRPA1 were also explored in the context of retinal ischemia, a condition marked by inadequate blood flow to the retina, often associated with vision loss and a lack of effective treatments. The research by Araújo et al. explored the use of cannabinoid system modulation to mitigate cell death triggered by acute ischemia in an avascular (chick) retina [144]. A combination of WIN 55212-2 (a cannabinoid receptor agonist) and cannabinoid receptor antagonists (AM251/O-2050 or AM630) was shown to reduce the release of lactate dehydrogenase (LDH) induced by retinal ischemia in an oxygen and glucose deprivation (OGD) model. Surprisingly, administering any of these drugs individually did not prevent LDH release during OGD. This suggests that the increased availability of eCB combined with cannabinoid receptor antagonists has a neuroprotective effect in the context of retinal ischemia. The study also explored the involvement of TRPA1 receptors in retinal cell death during ischemic events. TRPA1 levels increased after OGD. Notably, selective activation of TRPA1 did not worsen LDH release during OGD, while blocking TRPA1 completely prevented LDH leakage under ischemic conditions. This indicates that TRPA1 activation plays a critical role in inducing cell death during ischemia. The study suggests that cannabinoid metabotropic cannabinoid receptors, including type 1 and type 2, are not associated with cell death during the early stages of ischemia, pointing to the potential utility of targeting TRPA1 for neuroprotective strategies in the context of retinal ischemia. Overall, this research offers insights into potential mechanisms underlying neuroprotection during retinal ischemia and identifies TRPA1 as a promising target for future neuroprotective interventions in this condition.
WIN 55,212-2 was also shown to decrease cAMP production in cultured avian embryonic retinal cells under basal conditions. WIN had an impact on glial cells, reducing calcium levels evoked by ATP but not affecting calcium shifts in neuronal cells activated by KCl. Furthermore, WIN inhibited GABA release induced by KCl or L-Aspartate in amacrine cells but had no effect on GABA release in an oxygen-glucose deprivation (OGD) condition. This research underscores the crucial role of cannabinoid receptors in regulating signaling during synapse formation in the avian retina during critical embryonic stages, providing valuable insights into the expression and functions of CB1 and CB2 receptors in retinal cells, particularly their influence on cell excitability and GABA release [145,146,147]. In the avian retina, progenitor emergence around the first embryonic week is modulated by cannabinoid receptor activation [(by the CB1/CB2 agonist WIN 5212-2 (WIN)] [135,148]. In our hands, retinal cells in culture respond selective to KCl and/or AMPA (neurons) or ATP (glia) while progenitor cells were activated by muscimol or GABA [135,149].
We have previously shown that chronic incubation of retinal cells in culture with WIN, selective decreases calcium response to ATP, but not to KCl, suggesting that somehow glial cells, but not neurons, are modulated by cannabinoid receptor activation [121]. Therefore, in addition to regulate cAMP production, [(3)H]-GABA release induced by KCl or L-ASP or [(3)H]-D-ASP release by KCl in cultured avian retinal cells [121], WIN also decreases the number of glial cells that responded with Ca(2+) shift levels evoked by ATP, but did not altered neuronal cells activated by KCl [121]. Therefore, cannabinoid receptors function as regulators of avian retina signaling at critical embryonic stages during synapse formation.
The cannabinoid agonist WIN 55,212-2 was also used to investigate the developmental properties of the retinal glial progenitor cells. The findings from Freitas et al. indicate that WIN treatment leads to a reduction in [3H]-thymidine incorporation and a decrease in the number of proliferating cell nuclear antigen-positive nuclei (PCAN+) counts, suggesting that activation of cannabinoid receptors hampers the proliferation of cultured retinal progenitors [135]. Additionally, WIN treatment reduces retinal cell viability, an effect that can be blocked by CB1 and CB2 receptor antagonists, as well as the P2X7 receptor antagonist A438079. This implicates the P2X7 nucleotide receptor in cannabinoid-mediated cell death. Moreover, WIN induces an increase in mitochondrial superoxide and enhances the P2X7 receptor-mediated uptake of sulforhodamine B in cultured cells. While a substantial proportion of cultured cells respond to glutamate, GABA, and high potassium (KCl) with intracellular calcium shifts, only a few cells respond to the activation of P2X7 receptors by ATP. Remarkably, treatment with WIN decreases the number of cells responding to glutamate, GABA, and KCl, but significantly increases the number of cells responding to ATP, suggesting that activation of cannabinoid receptors primes P2X7 receptor-mediated calcium signaling in retinal progenitors in culture.
Campbell and colleagues also investigated the involvement of the eCB system in the proliferation of progenitor-like cells in the retina [150]. Their research involves a comprehensive characterization of the expression patterns of eCB-related genes in both chick and mouse models. The findings reveal that CNR1, the eCB receptor, and enzymes related to eCB metabolism are expressed in MG and inner retinal neurons. In the chick model, intraocular injections of cannabinoids, specifically 2-AG and AEA, were shown to stimulate the formation of MG-derived progenitor cells (MGPCs). The study also demonstrates that pharmacological agents targeting the eCB system can significantly influence glial reactivity and the capacity of MG to transition into MGPCs. Moreover, in damaged mouse retinas where MG activates NFkB signaling, activation of CNR1 was observed to decrease NFkB activity, whereas CNR1 inhibition increased NFkB signaling, with no discernible impact on neuronal cell death levels. Interestingly, the research reveals that retinal microglia, immune cells in the retina, appear to be largely unaffected by alterations in eCB signaling in both chick and mouse retinas.
These results underscore the influence of the eCB system on MG reactivity and the formation of proliferating MGPCs in the retina, shedding light on potential implications for retinal health and therapeutic strategies, especially regarding glial responses to injury.

TRP Channels

Transient receptor potential (TRP) channels constitute a superfamily of cation-permeable ionotropic receptors initially identified in the visual system of spontaneous mutants of Drosophila melanogaster. The electroretinogram of these flies revealed a loss in the sustained depolarizing response of photoreceptors to light stimuli, contrasting with the sustained responses observed in normal flies [151]. This discovery led to the identification of a receptor named TRPC1 (canonical), encouraging further exploration and characterization of other members within this superfamily, proving pivotal in various physiological contexts [152]. Diverse in structure and activation mechanisms, TRP channels represent the second-largest class of ionotropic receptors described [153]. Based on their primary structural similarities, these channels have been classified into seven subfamilies: TRPA (ankyrin), TRPC, TRPM (melastatin), TRPML (mucolipin), TRPN (no mechanoreceptor C potential), TRPP (polycystin), and TRPV (vanilloid). These channels exhibit sensitivity to various stimuli, including temperature, pH, osmolarity, inflammation, membrane stretch, inorganic ions (Ca2+, Mg2+), phosphorylation, lipids (e.g., AEA [154], and their metabolites (e.g., arachidonic acid; epoxyeicosatrienoic acid) [155]. This diversity equips cells to detect subtle variations in both external and internal environments [156].

TRP Channel in the Retinal Tissue

TRP channels have been identified in the retinas of various animals, playing crucial roles in the lower visual coding process [157]. mRNA for members of all subfamilies has been detected in the mouse retina [158]. However, the precise cell-specific localization of TRPs poses a challenge due to the limited availability of specific antibodies [158,159,160,161,162].
TRPC1-6 channels, excluding TRPC2, have been identified in the retina, with some associated with specific functions. TRPC1 expression is noted in rods, plexiform layers, INL, and vascular cells, influencing phototransduction, angiogenesis, and synaptic activity [163,164]. TRPC3 is present in vascular endothelium, while TRPC4 is found in Müller glia, potentially impacting angiogenesis and synaptic activity [163,165]. TRPC5 exhibits developmental expression in amacrine cells and Müller glia, later localizing in INL cells such as bipolar cells, horizontal cells, amacrine cells, displaced RGCs, Müller glia, and in both plexiform layers. TRPC5 influences GABA release of GABA by amacrine cells, in the control of RGC axon length and perhaps angiogenesis [164,166]. TRPC6 is found in Müller glia, RGC, and vascular endothelium, participating in neuroprotection, angiogenesis regulation, and potentially myogenic vasoconstriction [157,163,164,165,166] . TRPM1-3 and 7 channels are also present in the retina, with TRPM1 being the most extensively studied. TRPM1 is in rod and cone ON bipolar cells, contributing to several functions including the depolarization of ON bipolar cells in response to light, regulation of RGC activity, development of rod bipolar cells, and establishment of synaptic connections with an amacrine cell subtype [167,168,169,170,171]. TRPM2 is detected in the RPE and possibly in microglia, playing a role in neuronal survival and potentially responding to oxidative stress [172,173]. TRPM3 is found in RGC and Müller glia, regulating the spontaneous activity of developing circuits [174]. TRPM7 is identified in vascular smooth muscle [157,175].
TRPA1 is in Müller glia, horizontal cells, amacrine cells, and RGC, influencing redox balance and mediating neuronal damage [176]. TRPP1 is found in vascular smooth muscle cells, hypothesized to play a role in myogenic vasoconstriction [175]. The location and function of the TRPML subfamily remain uncertain [157].

Location and Function of TRP Vanilloids in the Retina

Except for TRPV3, all members of the TRPV subfamily (1-6) are present in the retina, with TRPV1 and TRPV4 exhibiting the most substantial evidence regarding their localization, function, and potential for neuroprotection [157]. TRPV1 is a channel primarily permeable to Ca2+ and Na+ cations, responsive to certain vanilloids found in peppers, such as capsaicin and piperine. This channel serves as an information conduit for cells, participating in the sensory transduction of pain, touch, light, temperature (42ºC, [177], osmolarity, pheromones, acidity (pH 6.5;[178]), inflammation, and taste [179,180]. Additionally, endogenous molecules like the endocannabinoids anandamide (AEA) and N-arachidonoyl dopamine (NADA), as well as exogenous molecules like the phytocannabinoid cannabidiol (CBD) [181], and vanilloids like capsaicin and piperine, also modulate TRPV1.
TRPV1 is distributed in photoreceptors, horizontal cells, bipolar cells, amacrine cells, microglia, some RGCs, vascular endothelium, and vascular smooth muscle. This receptor has been implicated in various functions, including the modulation of synaptic transmission, regulation of RGC function and survival, release of endocannabinoids, and control of angiogenesis. Additionally, it might be involved in lateral inhibition and purinergic control of basal vascular tone [157,160,182,183,184,185]. TRPV1’s presence in the OPL [186] and photoreceptors [187] has been associated with postsynaptic transmission to bipolar and horizontal cells. This is intriguingly accompanied by the paradoxical absence of changes in a (outer retina) and b (inner retina) waves of the photopic and scotopic electroretinogram in TRPV1 knockout animals [188]. Colocalization of TRPV1 in the IPL with synaptophysin suggests a role in presynaptic potential toward the GCL [185]. Moreover, the diffuse localization of TRPV1 in the OPL also implies its presence in Müller glial processes and/or resident microglia [187,189].
Animal models simulating RGC degeneration, such as those for glaucoma, hold the potential to elucidate the role of TRPV1 and eventually offer insights for the development of neuroprotective strategies targeting TRPV1. In glaucoma models induced by elevated intraocular pressure, TRPV1 expression in RGCs increases. Conversely, TRPV1 antagonism using iodoresiniferatoxin enhances RGC density and diminishes apoptosis induced by high hydrostatic pressure [187], indicating a promising avenue for neuroprotection. It is intriguing to observe that TRPV1 undergoes diverse modulation across different cell types and species. Its modulation by exogenous agents like capsaicin and CBD provides valuable insights into the pharmacology governing the effects of this channel. CBD, by displacing capsaicin from the TRPV1 receptor and acting as its agonist, elevates intracellular Ca2+ levels [190]. This interaction, linked to the desensitization and internalization of TRPV1 [191], positions CBD as a potential pharmacotherapeutic treatment in conditions where TRPV1 inhibition is crucial, such as pain, epilepsy [192] and potentially glaucoma. TRPV2 is present in bipolar cells, amacrine cells, RGC, vascular smooth muscle cells, and in some somatostatin and P2X7 positive cells. Its function is associated with the regulation of vascular tone and the permeability of the blood-retinal barrier [193,194].

Adenosine

Adenosine is an important neuromodulator in the CNS [195,196] and regulates adenylyl cyclase activity through distinct G protein-coupled receptors named A1, A2a, A2b and A3 which are present in the retina of several species [197,198,199,200,201]. A1 receptors are expressed since early development of chicken retina modulating dopamine-dependent cyclic AMP accumulation [112,202], while A2 receptors appear in late stages of retina development promoting direct adenylyl cyclase activation [203]. Adenosine and adenosine transporters and receptors are also expressed in mixed neuronal-glial cultures of developing chicken retina cells [204,205] and it was demonstrated that A1 receptor expression is dependent on cell aggregation and cyclic AMP accumulation induced by activation of A2a receptors [206]. In purified retinal neuronal cultures obtained from E8 embryos, long term activation of A2a receptors regulates the survival of neurons as well as photoreceptors [207], and protects neurons from glutamate excitotoxicity [208]. However, in cultures from E6 embryos, adenosine promotes cell death when added in the first day of culture and this effect depends on A2a receptors modulating CREB inhibition through a PKC pathway. On the other hand, the survival effect in E8 cultures is mediated by a cyclic AMP/PKA pathway and CREB activation, then demonstrating a shift of signaling pathways modulated by A2a receptors during chick retina development [209]. Uptake and release mechanisms for adenosine were also described in chick retinal cultures [205,210], and a calcium-dependent release of purines were described in these cultures [210] when submitted to depolarization or stimulated with glutamate [211]. Interestingly, the release of purines was found also to be mediated by transporters in a calcium/CAMK II-dependent way [211]. Our recent data show the presence of adenosine A3 receptors modulating the release of ascorbate in cultures of chick retinal cells [200].

Neuropeptides: PACAP

Pituitary Adenylyl Activating Polypeptide (PACAP) is a neuropeptide which contains 27 or 38 amino acids and belong to the same family of the Vasoactive Intestinal Peptide (VIP), with which shows high homology. This leads to common receptors which are activated by these peptides: PAC1, VPAC1 and VPAC2 and these are coupled to one or more signaling pathways depending on the isoform [212,213,214]. Earlier evidence of potential roles for PACAP signaling in the retina were proposed by Onali and Lianas [215] who showed that PACAP efficiently induced adenylyl cyclase activation in the retina of various species. After that, many research groups have described critical roles for PACAP signaling in retina development, as well as in mature retina, mostly with neuroprotective roles [216,217]. When studying the potential effects of PACAP in retina development we showed that it does induce cell cycle exit of late retinal progenitors from rats through the downregulation of Cyclin D1 [218], which correlated to the transient induction of Klf4 [219]. PACAP also contributed in the developing avian retina for the acquisition of the dopaminergic phenotype, defined by the expression of tyrosine hydroxylase [114], and interestingly, although the response to PACAP is less potent throughout development when cAMP accumulation is measured, this desensitization may be reversed through the use of a PACAP antagonist (PACAP6-38), leading to a two-fold increase in the number of tyrosine hydroxylase positive cells [220].
PACAP has also been shown to have, neuroprotective and regenerative properties [216,217]. Protective effects of PACAP were described in various developmental stages, cell types and disease models. In the neonatal retina we showed a protective effect in both postmitotic undifferentiated cells and developing photoreceptors. In postmitotic precursors the effect was dependent on cAMP/PKA signaling and we detected that CREB was activated as early as 5 min after treatment [221,222]. Denes and colleagues [222] also showed that the PACAP contributed to the generation of horizontal cells in the postnatal rat retina through the induction of cell proliferation.
In disease models, the evidence of neuroprotective effects is abundant. In the intraocular hypertension ischemia-reperfusion model, one experimental model for glaucoma, intravitreal injection of PACAP protected retinal ganglion cells in the fM and pM ranges with bell like curves. The effect showed to be dependent on cAMP/PKA and MAPK pathways [223]. In an ischemia model of bilateral common carotid artery occlusion, Danyadi et al suggested functional recovery based on electroretinographic measurements (ERG) [224]. In a model of oxygen-induced retinopathy (OIR) used to reproduce the retinopathy of prematurity (ROP) it was shown a protective effect for PACAP applied intravitreally in the extent of avascular area [225]. When the same model of retinopathy was applied to wild type (WT) and PACAPKO mice, the authors showed differences in retinal vasculature, with enhanced avascular area, and an impact on ERG [226] reinforcing that absence of PACAP increases the vulnerability to stressors. Patko and coworkers [227] also showed effects of PACAP applied in eye drops in the preservation of retinal vasculature on a glaucoma model with increase in intraocular pressure induced by microbeads injection. In this study they also demonstrated that PACAP blocked the change in the thickness of retinal nerve fiber layer (RNFL) and total thickness of the retina [227]. PACAP also showed protective effect on UV-A-induced lesions which lead to severe degeneration of photoreceptors and also impact inner nuclear layers and plexiform layers [228]. Evidence also accumulate on the protective effect of PACAP in neurodegenerations of metabolic origin, in particular diabetic retinopathy as reviewed by Gabriel and colleagues [229].
Interestingly, Wang et al used an exosome-mediated strategy for PACAP delivery in a model of traumatic optic neuropathy and showed a protective effect for RGCs, with as increase in the RNFL thickness and regeneration of axons as well as enhanced optic nerve function [230]. Recently, Van and coworkers tested if PAC1 receptors are critical to retinal protect neurons in a cell-autonomous manner, using adeno-associated virus (AAV2) to deliver Cre recombinase to the retina of mice harboring floxed PAC1 alleles.
Mice were challenged with a chronic experimental autoimmune encephalomyelitis (EAE), which recapitulates major features of Multiple Sclerosis (MS) and associated optic neuritis. Deletion of PAC1 in control conditions resulted in a deficit of retinal ganglion cells (RGCs) and dendrites, which unexpectedly suggests a homeostatic role of PAC1. In addition, absence of PAC1 resulted in increased EAE-induced loss of a subpopulation of RGCs which had been previously described as more vulnerable in glaucoma models. Damage to axons and increased recruitment of microglia/macrophages to optic nerve was also described [231].

Nitric Oxide

Nitric oxide (NO) is a gaseous signal that serves as a key regulator of various physiological processes within the retina, including transmission, vascular regulation, and immune responses [232,233]. Its production occurs through the enzyme nitric oxide synthase (NOS), which catalyzes the reaction of L-arginine, NADPH, and oxygen to form NO, citrulline, NADP +, and H2O [234]. In the retina, the presence of L-arginine transport systems has been described and linked to NO production since the early developmental stages, as demonstrated in chick retinal cultures [235]. Among several cell types, Müller cells uptake and deliver L-arginine to neuronal NO-synthesis demand in retina [37,235], and astroglia in cortex [236,237,238]. There are three isoforms of NOS, two of which are constitutive and calcium-calmodulin-dependent: the neuronal (nNOS or NOS-1) [239] and the endothelial isoform (eNOS or NOS-3) [240]. Alternatively, the constitutively isoform binds calmodulin and calcium-independent inducible isoform (iNOS or NOS-2) [241]. Besides to calmodulin, four more cofactors are required for enzymatic catalysis - flavin adenine dinucleotide (FAD), flavin mononucleotide (FMN), heme and tetrahydrobiopterin (BH4) [234].
The expression of nNOS is primarily localized in neurons, including those within the retina. Its widespread distribution and high activity would immediately provide a basis for concluding that NO should be involved in several functions within the CNS [242,243]. Pioneer works established a clear linkage between NMDA-type glutamate receptors, NO and cGMP production in the CNS [244,245]. Functionally, NO in neurons may require a physical coupling between nNOS and NMDA receptors to compartmentalize the influx of Ca2+ from the channel pore to calmodulin [246]. nNOS possesses a PDZ domain, which interacts with proteins such as PSD-95 (postsynaptic density protein-95), a scaffold protein located in the postsynaptic region of neuronal cells [247].
In retina, nNOS is localized in specific retinal cells [248,249,250,251]. This isoform was predominantly found in puncta in the IPL, in amacrine cells, and in GCL. For detailed review see [252]. Three main types of nNOS-positive amacrine cells have been identified, one of which is referred to as displaced amacrine (adjacent to the ganglion cell layer). All amacrine NOS-positive are GABAergic cells and express the GABA-synthesizing enzymes GAD-65 and GAD-67 [253,254]. These cells receive synaptic input from cone bipolar cells and various other amacrine. They also form synapses with ganglion cells, as well as with bipolar cells [252].
The nNOS distribution play a pivotal role in neurotransmission, synaptic modulation, and other neuronal functions within the retina. NO significantly influences neurotransmission and the modulation of signal transmission between retinal cells. It also impacts the release of neurotransmitters and synaptic plasticity [234,255]. This contribution is instrumental in the regulation of visual signal processing and adaptation to changing light conditions. For example, it has been demonstrated that light stimulation can provoke depolarizing inward currents in amacrine cells with transient increase in intracellular calcium levels mediated by voltage-dependent channels, which would trigger the activation of nNOS [256]. The fluorescence technique using 4-amino-5-methylamino-2’,7’-difluorofluorescein diacetate (DAF-FM) has been applied to visualize NO synthesis in the retina. This technique is useful to correlates the expression of NOS enzyme with NO production. However, it is crucial to bear in mind that DAF-NO adducts may reflect the diffusibility of NO, given that the DAF probe can permeate various cell types and primarily serve as a target for NO trapping, rather than specifically identifying the cell type responsible for NO synthesis. In any case, most authors agree that there is a good correlation between the location of nNOS and the possible radial distance for the action of NO detected by DAF-NO adducts, which becomes a useful tool for understanding the physiology of NO retina [257,258].
Hence, physiologically, NO synthesis in the retina is regulated by light exposure and the extent of visual adaptation [259,260,261]. There is evidence that NO production in cone cells increases their responses to light during adaptation [262]. NO also appears to reduce the coupling of gap junctions between horizontal cells, or even decrease the conductance of gap junctions between bipolar cells and amacrine cells of the AII subtype [263,264].
Moreover, soluble guanylate cyclase (sGC), the canonical receptor for NO (in its free radical form), exhibits high expression levels in the inner retina, but its presence in outer retina is subject to controversy. While some authors found a very limited expression [265], others identified its presence in outer nuclear layers and in both plexiform layers [257]. Strong immunostaining was observed in specific subgroups of bipolar and amacrine cells, with relatively weaker staining in rod bipolar cells in specific ON cone bipolar cells and, to a lesser extent, in OFF and rod bipolar cells, as well as certain ganglion cells [265]. NO doners were able in enhance cGMP, detected through cGMP immunocytochemistry visualization in the IPL and OPL and select amacrine cells, bipolar cells, and somata in the GCL [257]. Photoreceptors, horizontal cells, and Müller cells appear to not show immunoreactivity for sGC [265]. Photoreceptors, horizontal cells, and Müller cells appear to not show immunoreactivity for sGC [265].
Canonical NO signaling has been shown to modulate a variety of channels and receptors, including Ca2+ channels [266], GABA A receptors [267] and AMPA/kainate receptors [268,269].
NO can also regulate the release of several neuromodulators, as well as activity of transcription factors in the chick retina. For example, it was shown that NMDA receptor stimulation could stimulate glutamate, GABA, and glutamine release in the retina, through a mechanism entirely dependent on NO [270,271]. In the adult turtle retina, NO can also stimulate GABA release through cGMP-dependent mechanisms, which involves the reversal of GABA transporters (GAT) in horizontal cells. This process is dependent on calcium ions in the inner plexiform layer [272].
It has been demonstrated in different animal models (bovine, rabbit, and carp) that NO inhibits depolarization-stimulated dopamine release in retinal cells. Furthermore, this NO modulation of dopamine release may represent a sophisticated and high-level function in the process of light transduction within the retina, as dopamine is a recognized neurotransmitter associated with light adaptation [261].
The presence of the sodium-dependent ascorbic acid transporter (SVCT-2) has been demonstrated in the INL of rat retinas [273], as well as in cultured chick retinal cells and post-hatched chick retinas [274,275]. NO-donors (SNAP and Noc-5), as well as L-arginine, stimulate ascorbic acid uptake in cultured retinas through the canonical pathway [90]. Interestingly, it was observed that this stimulation occurred through an increase in the Vmax for ascorbic acid uptake, suggesting that NO can modulate the levels of active SVCT-2 transporters on the membrane in vitro and ex vivo. This hypothesis gained strength as it was detected through qRT-PCR, western blotting, and immunocytochemistry analyses that NO increased SVCT-2 transcription and expression through its classical sGC/cGMP/PKG pathway [90]. This effect appears to occur through NF-κB activation since its inhibitors (PDTC and sulfasalazine) completely blocked NO- or L-Arg-induced SVCT-2 expression and ascorbic acid uptake [274].
It has also been described that NO can activate the phosphorylation of the transcription factor CREB through glutamatergic signaling. Both AMPA [276] and NMDA [38] ionotropic receptors have been implicated in this effect, which has been described as occurring via the canonical PKG-dependent pathway. Interestingly, it has been demonstrated that NO can also mediate CREB phosphorylation in Müller glia, through a mechanism involving PKG and ERK-II in an evident neuron-glia crosstalk [276]. In addition, it also has been demonstrated that NO is involved in extensive cell death during early stages of retinal development (E6), while in subsequent stages (E8) NO significantly reduces apoptosis. In this study, NO significantly decreased nuclear phospho-CREB staining in E6, while robustly enhancing CREB phosphorylation in the nuclei of E8 neurons. The ability of NO to differentially regulate CREB during retinal development depended on the capacity of PKGII to decrease (E6) or increase (E8) nuclear AKT activation. These data demonstrate that NO/PKGII-mediated signaling may function to control the viability of neuronal cells during early retinal development through the AKT/CREB activity [255]. Moreover, despite the well-known neurotoxic actions of NO synthesis, this messenger is clearly associated with neuroprotective effects in the retina [234].
Finally, even though NO signaling primarily occurs through nNOS, the retina also expresses the eNOS and iNOS isoforms. As is well-known, NO is a potent vasodilator and, in the retina, this property is vital for regulating blood flow to meet the metabolic demands of retinal cells. When there is an increased need for oxygen and nutrients, such as during increased neuronal activity, NO is released to dilate blood vessels, ensuring an adequate supply of resources to the retinal tissue. Conversely, reduced production or availability of NO can lead to impaired blood flow regulation and potential retinal ischemia [232]. iNOS is typically not present at baseline in healthy retinal tissue but can be induced in response to inflammatory and immune stimuli. Its expression is induced by various immune and inflammatory signals, and its activity leads to the production of NO. In the retina, iNOS-derived NO is involved in immune responses and can modulate the inflammatory environment during retinal diseases or injuries. NO can have both protective and harmful effects in the retina, depending on the context. It can contribute to the regulation of immune responses during retinal pathologies, such as diabetic retinopathy, uveitis, or glaucoma [233].
In summary, NOS enzymes, including eNOS, nNOS, and iNOS, are responsible for synthesizing nitric oxide in the retina, as well as its associated tissues. Each isoform has a specific cellular distribution and function, contributing to various physiological processes in visual function such as neurotransmission, vascular regulation, and immune responses. The balanced activity of these NOS enzymes is essential for maintaining retinal function and responding to changing conditions and challenges [233].

Gliotransmitters

In the retina, ATP can be released by both vesicular and channel-mediated mechanisms. While vesicular storage and release of nucleotides is mediated by the Vesicular Nucleotide Transporter protein (VNUT) that is expressed in photoreceptors, bipolar and amacrine cells, Müller glia and astrocytes in the mouse retina [277] nucleotides can be released by channels such as pannexin hemichannels from ganglion cells [278]. Several stimuli, including glutamate, tonicity changes, ischemia, growth factors or purines induces channel-mediated ATP release from RPE cells [279]. Moreover, either channel or vesicular nucleotide release from Müller glia can be triggered by mechanical/osmotic or neurochemical stimuli such as glutamate or nucleotides themselves [280,281,282,283].

Nucleotide Receptors in the Retina

The retina expresses several G-protein coupled P2Y receptors that are mainly coupled to calcium mobilization. While P2Y1 receptor is the main P2Y receptor in this tissue, P2Y2, P2Y4 and P2Y6 receptors were also detected [284]. Direct evidence for the P2Y11, P2Y12 and P2Y13 receptors is still missing. However, expression of mRNA for P2Y12 receptors in the post-natal rat retina [285] as well as the blockade of glial proliferation by a P2Y13 specific antagonist [286] was obtained.
Many P2X receptors that are ion-channels are also expressed consistently in the retina. All P2X1-7, except P2X6, are well expressed, the P2X7 being the best characterized subtype in the retina of several species.

Nucleotides and Retinal Cell Proliferation

A major effect of nucleotides in the developing retina is the stimulation of progenitor’s proliferation. Activation of P2Y2/4 receptors by ATP or UTP induces proliferation of progenitors that will generate photoreceptors, amacrine, ganglion and horizontal cells [287,288,289]. Activation of ADP-sensitive receptors induces the proliferation of late developing glial/bipolar progenitors [290,291] by stimulating their entry in the S phase of the mitotic cycle [292].
Nucleotide-dependent proliferation of retinal progenitors is associated with the formation of inositol phosphates [293], Ca2+ mobilization from intracellular stores and its capacitive entry that occurs as early as the embryonic day 3 in the chick embryo retina [287,294,295]. These responses decrease as progenitors exit cell cycle and begin to differentiate [296], responses that, similar to ATP-induced increase in [3H]-thymidine incorporation, are decreased by conditioned medium obtained from postmitotic retinal cells in culture [291].
ADP-mediated increase in cell proliferation is inhibited by MEK inhibitors in the developing chick retina [290,293] and ADP activates ERK pathway over the neuroblastic layer where BrdU labeled glia progenitors are located [293]. PI3K/Akt is another signaling pathway associated with nucleotide-induced proliferation of retinal progenitors [297] and Müller cells from the adult retina [298,299]. In retina cell cultures, ADP or ATP induces the phosphorylation of Akt that increases cyclin D1 involved in the progression of cells through the G1 phase of the cell cycle [297]. Phosphorylated Akt is also observed in retinal progenitors during mitosis and is required for expression of CDK1 that controls the transition of progenitors from G2 phase to mitosis [300].
ADP phosphorylates cyclic nucleotide responsive element binding protein (CREB) through an ERK dependent mechanism is also required for the proliferation of retinal glial progenitors in culture [286].
The nucleotide receptor subtype(s) involved in the proliferation of glial progenitors is still poorly defined [301]. Knocking down P2Y1 receptor expression decreases eye formation in frog tadpoles and more than 80% of glial progenitors of the newborn mouse retina express P2Y1 receptors [292]. Injection of the P2Y1 receptor antagonist MRS2179 in the eyes of newborn rats decreases the number of BrdU positive progenitors [285]. However, eye formation and retina function were shown not to be affected in P2Y1 knockout mice [302], suggesting that other receptor subtypes may operate in the absence of the P2Y1 receptor in the developing retina. Either P2Y1 or P2Y13 receptor antagonists prevent ADP-induced proliferation of retinal glial progenitors in culture and stimulation of only the P2Y1 receptor does not induce their proliferation [286], suggesting that both receptors participate in the proliferative response of chick retinal glial progenitors in culture.
In the newborn rat retina, blockade of P2Y12 receptors induces an increase in cyclin D1 and a decrease in p57 protein. Since P2Y12 inhibition does not affect S phase of the cell cycle and induces the death of cyclin D1 positive cells, activation of these receptors seems to be required for the exit of late developing retinal progenitors from the cell cycle [285].

Nucleotide and Retinal Cell Migration

Damaged mammalian retina has low capacity to regenerate and de-differentiated glia contributes to the formation of glial scars. In rabbits, after retinal detachment, Müller cells migrate to the outer retina, undergo mitosis and some cells grow beyond the OLM, forming glial scars in the subretinal space [303]. ATP may contribute to the formation of glial scars by regulating both proliferation and migration of Müller cells [304]. Accordingly, activation of UTP-sensitive P2Y2/4 receptors induces the growth of glial cells through a mechanism involving PI3K, SRC and FAK signaling pathways in mechanically scratched retinal cultures [305] . When purified retina glial cultures are used, both cell adhesion and migration are decreased by P2 receptor antagonists [305].

Nucleotides and the Induction of Cell Death in the Retina

Activation of cytotoxic mechanisms by nucleotides in the developing retina was demonstrated in newborn rats and in developing avian retinal cells in culture [306,307]. Application of ATP to isolated rat retinas induces the death of cholinergic amacrine cells that express P2X7 receptors. In developing avian retinal cells in culture, P2X7 receptor-induced death of neuroblasts is dependent on the presence of glial cells and can be blocked by glutamate receptor antagonists.
Nucleotide-induced cytotoxic mechanisms were also demonstrated in mature retinal ganglion cells and photoreceptors. P2X7 receptor-induced death of rat retinal ganglion cells in culture was clearly demonstrated by [308]. The sustained stimulation of these cells with the P2X7 agonist Bz-ATP provokes large increases in intracellular calcium followed by their death. Ganglion cell death induced by nucleotides is blocked by P2X7 receptor antagonists and is also observed in the retina in vivo [309].
P2X7 receptors were implicated in the death of retinal neurons promoted by several kinds of injury. Hypoxia induces a significant increase in the death of retinal neurons in culture that can be prevented by the P2X7 receptor antagonists BBG and oxidized ATP [310]. High pressure transients applied to rat retinas or oxygen/glucose deprivation in human retinas induce significant damage to retinal ganglion cells that is prevented by apyrase and P2X7 receptor antagonists [306,311]. Accordingly, increase in intraocular pressure or activation of Müller cells activates microglia after ATP release and activation of P2X7 receptor in these cells [312,313]. In rats, optic nerve crush (ONC) causes retinal ganglion cell death that is significantly attenuated when P2X7 receptor antagonists are applied during 7 days after the injury [314]. In this specie, intravitreal injection of an agonist of metabotropic glutamate receptors induces Müller cell gliosis with increased ATP released from these activated cells and increased death of ganglion cells that is partially blocked by the application of the P2X7 receptor antagonist BBG, indicating that reactivation of retinal glial cells can induce the death of ganglion cells through the release of excessive ATP and activation of P2X7 receptors [315]. Interestingly, in this model, glia activation induces the upregulation of P2X7 receptor in ganglion cells through a mechanism dependent on ATP released from the activated glia, indicating that gliosis may potentiate the deleterious effect ATP by upregulating P2X7 receptor expression in ganglion cells [315] Upregulation of P2X7 receptor expression in these cells is also observed in rat retinas from eyes submitted to elevated intraocular pressure (IOP) [310] and at the early stages of development of the retina of rds mice, a murine model of retinitinis pigmentosa disease [316].
Death of retinal photoreceptors induced by P2X7 receptor activation was also demonstrated. Intravitreal injection of ATP causes consistent apoptosis of photoreceptors in the rat retina, an effect that is significantly reduced by P2X7 receptor antagonists [317,318]. ATP released in the subretinal space after retinal detachment promotes pyroptosis of microglia through P2X7 receptor activation, leading to photoreceptors death [319]. A P2X7 antagonist also slows photoreceptor degeneration in the retina of rd1 mouse model of retinitis pigmentosa [317]. In retinas from humans with age-related macular degeneration (AMD), photoreceptor cell apoptosis is also via P2X7 receptor activation [318].

P2X7 Glial Receptors and Retinal Development

Activation of the purinergic P2X7 ionotropic receptor increases calcium influx in most of glia cells, which are highly located in Müller glia, astrocytes, microglia and oligodendrocytes [145,146,147]. In the avian retina, progenitor emergence around the first embryonic week is modulated by cannabinoid receptor activation [(by the CB1/CB2 agonist WIN 5212-2 (WIN)] [135]. Indeed, progenitor’s proliferation decreased as assayed through [(3)H]-thymidine incorporation when cultures were incubated with 0.5-1.0 μM WIN. In addition, the same effect was shown in the presence of URB602 and URB597, inhibitors of the monoacylglycerol lipase (MAGL) and fatty acid amide hydrolase (FAAH), respectively [135,148]. In our hands, retinal cells in culture respond selective to KCl and/or AMPA (neurons) or ATP (glia) while progenitor cells were activated by muscimol or GABA [135,149].
We have previously shown that chronic incubation of retinal cells in culture with WIN selectively decreases calcium response to ATP, but not to KCl, suggesting that somehow glial cells, but not neurons, are modulated by cannabinoid receptor activation [121]. Therefore, in addition to regulate cAMP production, [(3)H]-GABA release induced by KCl or L-ASP or [(3)H]-D-ASP release by KCl in cultured avian retinal cells [121], WIN also decreases the number of glial cells that responded with Ca(2+) shift levels evoked by ATP, but did not alter neuronal cells activated by KCl [121]. Therefore, cannabinoid receptors function as regulators of avian retina signaling at critical embryonic stages during synapse formation.

Antioxidants

Glutathione

Glutathione (GSH) is a tripeptide with essential redox duties in the CNS, found at higher concentration in glia cells [320], especially in retinal Müller glia, compared to neuronal compartment which allocates ascorbate as the main antioxidant controlling biochemical processes such as protein folding and maintenance of the redox state by disulfide exchanges, and gene expression regulation [321]. It is suggestive that neurodegenerative diseases may lower the GSH/GSSG ratio, altering the levels of these peptides, and misexpress certain enzymes associated with the biosynthesis of GSH [321,322]. A low GSH/GSSG ratio leads to mitochondrial dysfunction. Nevertheless, the relationship between GSH and the glutamate system in the pathogenesis of nervous system diseases varies from synergism to antagonism [323]. Increasing GSH/GSSG levels systemically is obtained with administration of N-acetylcysteine (NAC). It is important to highlight that in the chicken embryo retina, ́GSH induces calcium influx in cultured Müller glia, but not in neurons [324,325].
GSH has been investigated for its potential roles as both an antioxidant and a signaling molecule. A study using embryonic avian retinal cells, including mixed retinal cells and purified Müller glia cells in culture investigated the effects of GSH on calcium shifts in these cells. As shown, GSH induces calcium shifts exclusively in glial cells, later identified as 2M6-positive cells, while neurons respond to KCl [325]. In addition, P2X7 receptor is involved in the effects of GSH on Müller glia. Intriguingly, GSH’s oxidized form, GSSG, fails to induce calcium mobilization in glial cells, underscoring the specific importance of GSH’s antioxidant and structural properties in elevating cytoplasmic calcium levels. Additionally, a short GSH pulse was found to protect Müller glia from oxidative damage caused by hydrogen peroxide (H2O2).
GSH was also shown to induce GABA release from various retinal cell cultures, including Müller cells, which can be inhibited by the P2X7 blocker BBG or in the absence of sodium [146]. Moreover, GSH induces propidium iodide uptake in Müller cells in culture, and this effect is mediated by the P2X7 receptor. Overall, the study suggests that GSH, in addition to its well-established antioxidant role, functions as a signaling molecule, particularly in Müller glia, regulating calcium shifts and GABA release.
The signaling properties attributed to GSH may be further corroborated by evidence showing high concentrations of the molecule in the retinas of chicks and other model animals [320]. Pow and Crook showed that rabbit Müller cells were strongly immunoreactive for GSH, while neurons presented low or undetectable levels of the molecule [326]. Although glial GSH was shown to be relevant for neuronal protection during stress [327], there is evidence to support the idea that the elevated GSH concentrations found in the retina are not directed to enhance cell survival [328]. In fact, Castagné and Clarke showed that inhibition of GSH synthesis by L-buthionine-[S,R]-sulfoximine can diminish cell death retinal cell death [329].The signaling properties attributed to GSH may be further corroborated by evidence showing high concentrations of the molecule in the retinas of chicks and other model animals [320]. Pow and Crook showed that rabbit Müller cells were strongly immunoreactive for GSH, while neurons presented low or undetectable levels of the molecule [326]. Although glial GSH was shown to be relevant for neuronal protection during stress [327], there is evidence to support the idea that the elevated GSH concentrations found in the retina are not directed to enhance cell survival [328]. In fact, Castagné and Clarke showed that inhibition of GSH synthesis by L-buthionine-[S,R]-sulfoximine can diminish cell death retinal cell death [329].

Vitamin C

Vitamin C, made up of its oxidizing and reducing components ascorbate (AA) and
dehydroascorbate (DHA) respectively, is essential for multiple physiological functions. Many mammals are capable of synthesizing vitamin C from glucose but, however, humans do not have the last enzyme responsible for its biosynthesis [330]. Because of
this, vitamin C must be ingested through food and supplements. Once absorbed, vitamin C will be distributed to tissues through its transporters, which are of two types: sodium-
dependent vitamin C transporters (SVCT), which transport AA, and glucose transporters, which transport DHA [331]. High concentrations of vitamin C are found in the brain, mainly in neuronal cells [332]. Among the physiological processes, vitamin C acts as an enzymatic cofactor in the conversion of dopamine to noradrenaline [333], acts as a reducing agent and scavenger of oxygen and nitrogen free radicals generated during cellular metabolism, increases synaptic activity [334], participates in the formation of the
myelin sheath for Schwann cells [335] and acts as a neuromodulator in the Nervous
System. Because neurodegenerative diseases are associated with high levels of oxidative stress, AA has been associated as an important therapeutic agent in neurodegenerative diseases. Studies show that the pathophysiological processes of neurodegenerative diseases and neuropsychiatric disorders are improved with nutritional interventions. Among them, the association of treatments with AA has presented a promising scenery. The anti-inflammatory, antioxidant and antiexcitotoxic role of ascorbate is believed to be responsible for its protective actions [336,337,338,339].
Vitamin C, made up of its oxidizing and reducing components ascorbate (AA) and dehydroascorbate (DHA) respectively, is essential for multiple physiological functions. Many mammals are capable of synthesizing vitamin C from glucose but, however, humans do not have the last enzyme responsible for its biosynthesis [330]. Because of this, vitamin C must be ingested through food and supplements. Once absorbed, vitamin C will be distributed to tissues through its transporters, which are of two types: sodium- dependent vitamin C transporters (SVCT), which transport AA, and glucose transporters, which transport DHA [331]. High concentrations of vitamin C are found in the brain, mainly in neuronal cells [332]. Among the physiological processes, vitamin C acts as an enzymatic cofactor in the conversion of dopamine to noradrenaline [333], acts as a reducing agent and scavenger of oxygen and nitrogen free radicals generated during cellular metabolism, increases synaptic activity [334], participates in the formation of the myelin sheath for Schwann cells [335] and acts as a neuromodulator in the Nervous System. Because neurodegenerative diseases are associated with high levels of oxidative stress, AA has been associated as an important therapeutic agent in neurodegenerative diseases. Studies show that the pathophysiological processes of neurodegenerative diseases and neuropsychiatric disorders are improved with nutritional interventions. Among them, the association of treatments with AA has presented a promising scenery. The anti-inflammatory, antioxidant and protective role of ascorbate is believed to be responsible for its protective actions [336,337,338,339].

Reciprocal Interactions between Retinal Transmitters

Due to the organization of retinal tissue and the massive presence of different types of synapses, especially in plexiform layers, it is highly expected an extensive interaction between these modulatory systems. In many cases, interactions are reciprocal and show distinct levels of complexity during development. Bellow you can find some examples of these interactions in the chicken retina.

Dopamine and Adenosine

Dopamine promotes the accumulation of cAMP in developing chicken retina since embryonic day 7 (E7), the maximal effect being observed in E8 and decreasing in subsequent days. The stimulation level in post-hatched retinas (PH) is low [340]. By the other hand, adenosine promotes cAMP accumulation in this tissue only after E13, increasing up to E17 and attaining low levels in PH, similarly to what happens with the dopamine stimulus [203]. Interestingly, adenosine can inhibit cAMP accumulation induced by dopamine since early developmental stages when direct stimulation with adenosine is no longer observed [112]. This inhibitory effect is mediated by A1 receptors which are present in early embryonic stages [202]. The mechanism of inhibition as well the functional and embryological consequences remain to be investigated.

Glutamate and Adenosine

Glutamate is a major excitatory neurotransmitter in the retina, including the chicken retina [341], where it was found to regulate the release of adenosine, GABA, and vitamin C [94,211,275]. Activation of ionotropic glutamate receptors as AMPA, kainite and NMDA receptors is able to promote a dose-dependent release of purines in cultures
of chick retinal cells. Interestingly, this release was shown to be calcium-dependent but also mediated by nucleoside transports and is regulated by a calmodulin-dependent kinase type II (CAMKII) mechanism. Adenosine, but not GABA or choline uptake in the cultures, is also modulated by CAMKII, supporting the hypothesis that the enzyme directly or indirectly modulates nucleoside transport [18] .

Glutamate and Vitamin C

Glutamate is also able to induce ascorbate (AA) release in cultures of developing chick retinal cells [275]. As stated in a previous section, ascorbate transport is mediated by the sodium-dependent vitamin C transporter (SVCT) which is expressed in the chicken retina as well as in retinal neurons in culture. The release by glutamate is dependent on the presence of sodium ions and blocked by sulfinpirazone, an SVCT inhibitor, indicating that it is mediated by the SVCT working in a opposite direction. The hypothesis is that glutamate activates ionotropic receptors allowing sodium ions entry and its accumulation in the vicinity of SVCT, producing its functioning in the release direction [275]. Interestingly, released AA inhibits glutamate transport through the excitatory amino acid transporter type 3 (EAAT3) present in neurons, promoting an accumulation of extracellular glutamate, activation of NMDA and AMPA receptors, and consequent activation of signaling pathways leading to CREB stimulation [342].

Glutamate and GABA

The interactions between the major amino acids glutamate and GABA were described in the CNS, including in the retina where disturbances in the balance of these two neurotransmitters are involved in neurodegeneration and aging [343]. As stated above, activation of glutamate ionotropic receptors or depolarization with veratridine promotes a transporter-mediated release of GABA in cultures of chicken retina cells [94,344]. Interestingly, the transport of GABA by glial cells is regulated by a glutamatergic input, suggesting an interplay between neurons and glial cells in the retina [345]. In addition, GABA and glutamate regulate Glutamate dehydrogenase (GAD) expression, the main synthezing enzyme responsible for GABA synthesis, in cultured retinal cell [346], indicating a strong interaction between these neurotransmitters in the retina.

Dopamine and Glutamate

Dopamine regulates Src kinase activity in cultured chicken retinal cells through D1 receptors, accumulation of cyclic AMP and activation of PKA, which phosphorylates
the C-terminal domain Src kinase (CSK) at the position serine 364 [347] . Stimulation of CSK then leads to Src phosphorylation at the inhibitory domain tyrosine 527 and consequent inhibition of Src kinase activity [348]. It is well known that Src phosphorylates the N2B subunit of NMDA receptor at Tyrosine 1472 thus regulating receptor function [349] . We were able to show that activation of dopamine D1 receptors inhibits NMDA receptor function through this pathway in the retina, showing a possible important pathway linking activation of dopamine receptors and inhibition of glutamate NMDA receptors [347].

Endocannabinoid and Dopamine

Dopamine is found in amacrine retinal cells very early in development, around embryonic day 8 [102]; on the other hand, cannabinoid receptors also emerge early in embryonic stages [120], which control excitability and the levels of second messengers as cAMP or calcium signaling during development. CB1 receptor is highly expressed from embryonic day 5 (E5) until post-hatched day 7 (PE7), decreasing its levels throughout development. While CB1 is heavily located in the GCL and inner plexiform layer (IPL), the CB2 receptor is primarily placed in the inner plexiform layer (IPL) at PE7. Cannabinoid CB1 and CB2 are found in both neurons and glial cells, but MAGL, the enzyme that degrades 2-AG, is only expressed in Müller glia [120]. Tyrosine hydroxylase (TH), the regulatory enzyme that synthesizes catecholamines, are found in amacrine cells that also express both CB1 and D1 receptor. As cyclic AMP (cAMP) is a signaling messenger increased by D1 activation and decreased by CB1 activation, this seems to be an important relay to regulate retina signaling and development [120]. Indeed, neurite outgrowth has been shown to be modulated by cAMP not only in the retina, but in the entire CNS [350,351]. In conclusion, a relationship between the endocannabinoid and dopaminergic systems is found in the avian retina development that defines cAMP accumulation via D1 receptor activation and may influence embryological parameters during avian retina differentiation [121].

Dopamine, Glutamate and Vitamin C

Dopamine is also able to promote AA release in chick retina cultures, an effect promoted by stimulation of D1 receptors, accumulation of cyclic AMP and activation of EPAC 2 [352]. Interestingly, AA release is mediated by SVCT since is sodium-dependent and blocked by sulfinpirazone. However, more recent evidence indicates that the release of AA induced by dopamine is mediated by glutamate and activation of AMPA receptors but not NMDA receptors [353]. These results point to the existence of neuronal circuits comprising dopaminergic, glutamatergic and AA releasing cells in the retina.

Adenosine, Vitamin C and Nitric Oxide

As described above, glutamate can release purines (including adenosine) in the retinal cultures [211] and adenosine regulates the cyclic AMP accumulation induced by dopamine in the retina [112]. Dopamine also promotes the release of adenosine [354] as well as a glutamate-mediated vitamin C release [353]. Recent work shows that adenosine acting on A3 receptors promotes the release of AA and controls the redox balance in retinal neurons in culture [200]. Nitric oxide is also another important neuromodulator in the retina, specially linked to activation of glutamate receptors. For example, nitric oxide regulates the SVCT in retinal cultures increasing its expression through an NFkB- dependent mechanism [274]. Many effects of glutamate mediated by ionotropic receptors also involve nitric oxide production [355]. Indeed, some effects of vitamin C are mediated through accumulation of glutamate and production of nitric oxide. These findings clearly indicate the existence of reciprocal interactions among different neurotransmitters and neuromodulators in the retina.

The Diseased Retina

Retinal diseases encompass a diverse range of ocular disorders that have a profound impact on visual health and patient well-being. They can range from genetic to non-genetic disorders, and degenerative conditions that can lead to varying degrees of vision impairment and, in some cases, even blindness. Genetic retinal degenerations represent a significant subset of retinal diseases with an incidence of approximately 1 in 3000 individuals (https://web.sph.uth.edu/RetNet/)[356], more than 2.5 million people worldwide, posing a significant burden on global eye health. As our understanding of the genetic basis of retinal diseases continues to expand, the identification of causative genes and genetic variants has been increasing, and, today, we have 341 genes with causative variants identified, presenting highly distinct disease courses and phenotypes [357]. Although an extensive genetic landscape has already been mapped, the mutations responsible for 30% to 50% of cases of inherited retinal diseases remain undisclosed [358].
Non-genetic retinal diseases constitute a diverse array of ocular disorders with a global impact, often regardless of an individual’s genetic constitution. These conditions can stem from a variety of factors, including the natural aging process, lifestyle choices, infections, and environmental influences. Age-related macular degeneration (AMD) stands as one of the most prevalent non-genetic retinal diseases, impacting 196 million people in 2020, with a prediction to increase to 288 million people worldwide in 2040, particularly among the elderly population [359]. It leads to central vision loss through a combination of the accumulation of deposits (drusen) and, in the non-neovascular form, retinal pigment epithelium abnormalities or, in the neovascular form, abnormal blood vessel growth, both in the macula, leading to damage and impairment of the central vision [360]. Similarly, diabetic retinopathy, intricately tied to diabetes, is another widespread non-genetic condition characterized by the deterioration of retinal blood vessels, potentially leading to severe vision loss if left untreated [361]. Retinopathy of prematurity (ROP), predominantly affecting premature infants due to excessive oxygen exposure during early medical care, is another example, known for its capacity to induce vision problems or even blindness [362]. Additionally, glaucoma, often associated with elevated intraocular pressure, is a global illustration of non-genetic ocular diseases [363].[363]. These various non-genetic retinal diseases underscore the importance of regular eye examinations and proactive healthcare measures to prevent or manage vision impairment on a global scale.
In the face of the challenges posed by neurodegenerative conditions leading to blindness, the field of ophthalmology and vision science continues to push the boundaries of medical research. The convergence of genetics, innovative therapies, and cutting-edge technologies offers a ray of hope for those affected by these diseases. The relentless pursuit of new treatments, including gene therapies, stem cell transplantation, and precision medicine, is promising. These advancements hold the potential to not only slow the progression of vision loss but also, in some cases, to restore sight. All these new and innovative therapies are on the cusp of revolutionary breakthroughs that may one day conquer the challenges posed by neurodegeneration and blindness, offering a brighter future for those impacted by these conditions.

Glaucoma

Glaucoma is an optic neuropathy characterized by an insidious onset and gradual progression that comprises a group of neurodegenerative diseases marked by structural damage to the optic nerve with axonal loss and retinal ganglion cell (RGC) degeneration by apoptosis [364]. It is the leading cause of blindness around the globe and the elderly are more susceptible to develop the disease. Aging populations have been increasing in both developed and in development countries, and the rise of diseases associated with aging can impact the quality of life of individuals and economic growth. Today glaucoma is considered a major public health problem and the 3rd main cause of long-term disabilities experienced by individuals [365]. Its prevalence varies by geographic region and demographic factors, with higher rates observed among people of African, Asian, and Hispanic descent. The number of people with glaucoma worldwide is estimated to be 80 million, increasing to 111.8 million in 2040 [366]. In Brazil, the cases rose from 900,000 in 2010 to 2.5 million in 2020 [367]. Alarmingly, up to 40% of glaucoma patients can progress to blindness. Glaucoma is highly heritable, and a true family history of glaucoma increases the risk in a first-degree relative nearly eight times compared with the general population [368]. Elevated intraocular pressure is a major risk factor in glaucoma. It is widely believed to contribute to the compression and damage of the optic nerve fibers, thereby accelerating the degeneration of RGCs. However, it is important to note that not all individuals with high IOP develop glaucoma, and, conversely, glaucoma can occur in those with normal IOP, suggesting that other factors play a crucial role [369]. However, existing treatment paradigms focus on reducing intraocular pressure, mainly through the daily use of eye drops, sometimes associated with side effects or invasive surgical interventions [370,371]. The frequent inadequacy of ocular pressure-lowering approaches, substantial rates of treatment non-adherence affecting 30-70% of patients, and resulting financial burdens indicate the need for long-lasting, neuroprotective therapies.
The increased pressure induced by glaucoma can cause ischemic events in the retina, and in literature there are some evidence of cannabinoids mediating or regulating damage after this events. Blockage of CB1 and CB2 in an ex vivo model of ischemia can decrease the damage induced by oxygen and glucose deprivation (OGD) [144]. In an interesting way, using the same model, blockage of TRPA1 (Transient receptor ankyrin 1), a channel that can be activated by cannabinoids and their substrates, inhibit the damage induced by the OGD [144]. After the role of TRPA1 on an acute model of glaucoma has been shown, it was also demonstrated that TRPA1-/- knockout mice show a complete blockade of retinal damage (inhibiting the decrease of retinal thickness, increase of oxidative stress, increase of caspase activity) in a model of increased intraocular pressure and 2 or 7 days of reperfusion [372].

Diabetic Retina

Diabetes Mellitus represents a major public health problem. In 2017, the International Diabetes Federation estimated that 425 million people had diabetes and expected the number of people affected to be approximately 629 million by 2045. Diabetic retinopathy (DR) is a microvascular complication of diabetes mellitus and is the most common cause of blindness affecting the working age population [373,374,375]. The increasing knowledge of the pathophysiology of the disease allowed the identification at a more and more early stage, increasing the possibility of treatment. Around 126.6 million people worldwide were affected by the condition in 2011, and this number is expected to rise to 191 million by 2030 [376], with 56.3 million of them at high risk of visual impairment, a group that includes individuals with proliferative diabetic retinopathy and diabetic macular edema [377], making the disease a major burden on the healthcare system, with a predicted increase in the number of people suffering from visual impairment [378].
Diabetic retinopathy is clinically characterized by vascular alterations, and it is divided into two stages, non-proliferative (NPDR), which represents the initial stage of DR, when microaneurysms, small hemorrhagic spots and exudates can already be observed on fundus examination, but the patient may be asymptomatic, and proliferative (RDP), a more advanced stage characterized by neovascularization and greater visual consequences with the expansion of poorly formed vessels into the vitreous, increased risk of retinal detachment and formation of macular edema [375].
However, many studies have been demonstrating that DR is a neurovascular disease, with changes in neuronal morphology, reduction of synaptic proteins, changes in neurotransmitter systems, and neuronal death in the retina [379,380,381,382,383,384], for review [379,385]; even before vascular alterations occur and can be clinically detected [386]; for review [387]. Early changes in electrical activity, thickness of the human retina, electrophysiological and visual perceptual changes prior to vascular changes have also been shown [77,388] for review [387]. Retinal pigmented epithelium cells (RPE) also showed oxidative stress [4,389] tight junction destruction [390,391,392] and apoptosis [393]. Therefore, all cell types that constitute the retina are affected by persistent hyperglycemia in diabetes and contributed to the disastrous outcome.
Several pathways have been associated with the development of DR induced by hyperglycemia/diabetes: formation of advanced glycated end-products (AGEs), increase in the polyol pathway, diacylglycerol/PKC and hexosamine pathway. However, they all have a common axis of activation: oxidative stress [394,395,396]. Therefore, antioxidative stress has become a promising strategy for the treatment of DR [396]. Although there are several preclinical studies showing promising results with antioxidants, clinical trials have been scarce with controversial outcomes [24] for a brief review). Nuclear factor erythroid 2-like 2 (Nrf2) / Kelch-like ECH-associated protein 1 (Keap1) pathway is a crucial pathway to fight oxidative stress. Nrf2 is a transcription factor binds to a specific promoter region, the antioxidant-responsive element (ARE), stimulating the transcription of several cytoprotective genes that triggers a cellular antioxidant response, crucial pathway to fight oxidative stress. In physiological conditions, Keap1 binds to Nrf2 leading to ubiquitination and degradation of Nrf2, which controls the levels of this transcription factor. With the increase in reactive oxidative species (ROS), Nrf2 dissociates from Keap1 and translocates to the nucleus, stimulating the transcription of ARE-containing genes. Therefore, the oxidative stress stimulates the increase in Nrf2 stability and nucleus levels, which can induce an antioxidant response. However, it has been systematically shown, in vitro and in vivo studies, that exposure to high glucose induces a decrease in Nrf2 levels, particularly in the nucleus, but also total Nrf2, in all types of retinal cells: RPE cells, mainly investigated in ARPE-19 cells, [397,398,399] endothelial cells, mainly HREC cells [400], Müller cells [24,401], and ganglion cells [402] . In vivo experiments also show that diabetes decreases Nrf2 retinal content even in early periods of diabetes, before vascular alterations occur [383,384,403,404]. As mentioned, Nrf2 controls the gene transcription of several antioxidant signals, some of them crucial to glutathione (GSH) generation, such as glutathione peroxidase and catalytic subunit (xCT) of the transport Xc- system [24] for review). This transporter uptakes cystine, important and limiting precursor to the GSH synthesis [405]. So, a decrease in Nrf2 in high glucose condition, in retinal cell culture, or diabetes leads to a reduction in glutathione peroxidase, Xc- system and, consequently, glutathione retinal levels as well as in different retinal cell types (RPE, endothelial, Müller, ganglion cells) [406].
Retinas from diabetic animals have less Nrf2 bound to the promoter of the catalytic subunit of the xc- system (xCT) since early stages of diabetes [384], which could explain the lower expression of xCT. Besides, Nrf2 also controls the gene transcription of other antioxidant important enzymes, such as hemoxigenase, NQO1, catalase, which are also decreased in retinal/cell types in diabetic retinas or cultures exposed to high glucose in a Nrf2-dependent mode [407]. Accordingly, an increase in oxidative stress, followed and dependent of Nrf2 reduction, is observed in the retina of diabetic animals as well as in the cell types. Although high glucose exposure and diabetes induce oxidative stress, which activate Nrf2 pathway, most of the studies shows that the maintenance of the hyperglycemia induces the reduction of Nrf2, hampering the cell capacity to fight oxidative stress and leading to cell death through ferroptosis [398] and apoptosis [406]. The apparently contradictory effect lies on a lot more complex Nrf2-regulating signaling pathways. It has been shown that Nrf2 is closely regulates by Akt/GSK3 pathway [408,409]. Nrf2 degradation/nuclear extrusion is activated by GSK3b, which is blocked by Akt phosphorylation and inhibition of GSK3 [408,409]. Several studies report a reduction in Akt activation in high glucose or diabetes conditions [397,402] which can be via the classical PTEN/Akt pathway. PTEN activity is increased in hyperglycemia/diabetes, decreasing activated-Akt level [397]. In addition, it was shown that hyperglycemia increases PP2A activity, which dephosphorylate Akt and stimulate GSK3b [410]. Hyperglycemia/oxidative stress stimulates the regulated in development and DNA damage 1 (REDD1), a stress induced protein that promotes the association of PP2A and Akt, decreasing Akt phosphorylation/activity and the Akt-induced inhibition of GSK3b.
Figure 2. Regulatory pathways in retinal stress response and diabetic retinopathy progression. Cellular mechanisms of the retinal response to stress under constitutive conditions, oxidative stress, and in the context of high glucose (HG) or diabetic retinopathy (DR). The left panel depicts the constitutive degradation pathway of the transcription factor Nrf2, which is bound by the Kelch-like ECH-associated protein 1 (Keap1) and targeted for ubiquitination and subsequent proteasomal degradation under normal conditions. The central panel shows the response to a light to mild oxidative stress, where reactive oxygen species (ROS) or electrophiles modify cysteine residues on Keap1, leading to the release of Nrf2. Nrf2 can also be phosphorylated by protein kinases, which promotes its translocation into the nucleus. Once in the nucleus, Nrf2 binds to antioxidant response elements (ARE) in the DNA, leading to the expression of proteins of antioxidant response. The right panel focuses on the molecular pathways involved in diabetic retinopathy, a condition characterized by increased glucose levels that lead to retinal damage. Here, the diagram outlines the interplay between ROS/electrophiles and various signaling molecules, including REDD1, PP2A, PTEN, and PHLPP2, all of them are increased by HG/DR, inhibiting AKT. Activated AKT (p-AKT) phosphorylates and inactivates GSK3β, which in turn affects Nrf2 activity. Additionally, the diagram indicates the involvement of ERK, AMPK, and SIRT1, which positively regulates Nrf2, but are all decreased in HG/DR, inhibiting Nrf2-activated antioxidant response.
Figure 2. Regulatory pathways in retinal stress response and diabetic retinopathy progression. Cellular mechanisms of the retinal response to stress under constitutive conditions, oxidative stress, and in the context of high glucose (HG) or diabetic retinopathy (DR). The left panel depicts the constitutive degradation pathway of the transcription factor Nrf2, which is bound by the Kelch-like ECH-associated protein 1 (Keap1) and targeted for ubiquitination and subsequent proteasomal degradation under normal conditions. The central panel shows the response to a light to mild oxidative stress, where reactive oxygen species (ROS) or electrophiles modify cysteine residues on Keap1, leading to the release of Nrf2. Nrf2 can also be phosphorylated by protein kinases, which promotes its translocation into the nucleus. Once in the nucleus, Nrf2 binds to antioxidant response elements (ARE) in the DNA, leading to the expression of proteins of antioxidant response. The right panel focuses on the molecular pathways involved in diabetic retinopathy, a condition characterized by increased glucose levels that lead to retinal damage. Here, the diagram outlines the interplay between ROS/electrophiles and various signaling molecules, including REDD1, PP2A, PTEN, and PHLPP2, all of them are increased by HG/DR, inhibiting AKT. Activated AKT (p-AKT) phosphorylates and inactivates GSK3β, which in turn affects Nrf2 activity. Additionally, the diagram indicates the involvement of ERK, AMPK, and SIRT1, which positively regulates Nrf2, but are all decreased in HG/DR, inhibiting Nrf2-activated antioxidant response.
Preprints 94184 g002
In diabetes, or high glucose conditions, REDD1 levels augment and induces Nrf2 degradation through GSK3 activation [411,412], hampering the Nrf2-induced antioxidant response. REDD1 is also directly activated by oxidative stress, generating positive feedback, worsening the oxidative stress [412]. The Akt inhibition by REDD1 leads to a decrease in the activity of mTOR, which disinhibited 4E-BP1 that represses the VEGF mRNA translation [413].
Since hyperglycemia increases REDD1, a consequently increase in oxidative stress and VEGF levels is seen, contributing to angiogenesis and cell death [414].
Finally, in ARPE-19 cells, Nrf2 can be also positively regulated by SIRT-1 and AMPK [398,415]. Therefore, hyperglycemia in diabetes, or high glucose exposure in vitro, can induce, by different mechanisms, a decrease in Nrf2 levels and an impairment in the antioxidant Nrf2-stimulated response.
The inflammatory component also appears to be a central event in the progression of DR. The increase in the expression of adhesion molecules such as ICAM-1, VCAM-1 and E-selectin added to higher rates of leukocyte adhesion and leukostasis are phenomena observed in animal models of diabetes and human patients, and are associated with damage to the blood-retinal barrier and the loss of endothelial cells [416,417,418,419,420]. Increased expression of chemokines such as MCP-1, MIP-1α and MIP-1β, and cytokines such as TNF-α, IL-6, IL-8 and IL-1β also appear to be involved in the pathogenesis of DR [421,422,423,424]. Glial cells in the retina such as astrocytes, Müller glia and microglia orchestrate the inflammatory reaction, producing and releasing the aforementioned factors [425,426]. Importantly, it has been shown that the increase in inflammatory cytokines, mainly TNF-α, IL-6, and IL1-β, occurs due to Nrf2 decrease induced by high glucose or hyperglycemia in diabetic animals, and preventing Nrf2 inactivation prevents the inflammatory response [406,427].
Because of the crucial role of Nrf2 to control oxidative stress and, consequently, inflammation and cell death signaling pathways, like ferroptosis and apoptosis, preventing, acting directly or indirectly, the reduction of Nrf2 protects retinal cells from degeneration [398,402,406,427]. The present medical treatments for DR include glycemic control, laser therapy, glucocorticoid therapy, anti-VEGF intraocular injections, etc., but none of them cure neither stops the disease progression and all combat the vascular alterations seen in a very advance stage of the disease [428]. Although the available treatments are important to ameliorate the clinical deficits, new approaches, especially those that can be used earlier, are necessary to improve treatment and avoid blindness.
Drugs that inhibit important pathways for the progression of this disease have been tested for its treatment. Examples of this were tests with aminoguanidine, an inhibitor of the advanced glycation species pathway [429], to inhibit inflammatory pathways and the systemic administration of several antioxidants [430,431,432]. Other drugs that have been tested include other antiangiogenic drugs that modulate other factors such as PDGF, b-FGF, Ang-1, 2, and the Ang-1,2 receptor, Tie2, drugs with anti-inflammatory effects such as corticosteroids (show improvements in symptoms of diabetic retinopathy but can cause increased intraocular pressure and cataracts) and integrin and interleukin 6 inhibitors, alpha-lipoic acid (mitochondrial antioxidant), lutein (carotenoid with antioxidant action), ARA290 (peptide derived from erythropoietin) and darapladib (phospholipase A2-associated lipoprotein inhibitor – LpPLA-2) [375]. However, the results of these clinical studies were inconclusive or suspended due to side effects.
Recently, several preclinical studies have been focusing in searching substances that inhibit the impairment in Nrf2 pathway induced by diabetes in neural and vascular retinal cells: Acteoside [433], Maslinic Acid [4], Astragaloside-IV [398], Urolithin A [427], Hydroxysafflor yellow A [397], Carnosol [400], Astaxanthin [403], amygdalin [434], among others. However, as for other previous approaches, it will be critical to investigate the protective ability of these agents in diabetic patients and the potential of deleterious side effects.

Investigation of Innovative Therapeutic Strategies

Neuroprotection

The Na+/K+ ATPase (NKA) enzyme, located in the plasma membrane of mammalian cells, has long been recognized for its classical function in actively pumping Na+ and K+ against their respective concentration gradients using the energy provided from the hydrolysis of ATP. This enzyme has a highly specific binding site for hormones called cardiotonic steroids like ouabain. NKA exhibits a biphasic response to ouabain: while high (micromolar) concentrations of ouabain inhibit the NKA pumping function, low (nanomolar) concentrations have no immediate effect on ionic transport but can initiate several intracellular signaling cascades through protein-protein interactions (reviewed by [435].
The functional unit of the NKA consists of a catalytic subunit, alpha, along with two regulatory subunits, beta, and gamma. There are four isoforms of the alpha subunit, denoted as alpha 1 to 4 [436]. In the retina, NKA is expressed by all cell types, exhibiting differential patterns in both adult and developmental stages [437,438]. Specifically, in the adult retina, the alpha 1 subunit is found in Müller and horizontal cells, alpha 2 is particularly present in Müller glia, and alpha 3 is detected in photoreceptors and other retinal neurons [437]. The NKA plays a crucial role in diverse retinal functions, including controlling Na+ and K+ gradients associated with photoreceptor dark current, maintaining resting membrane potential in retinal ganglion cells (RGCs), facilitating neurotransmitter uptake by Müller cells, regulating synaptic activity and light adaptation, and preserving elements of neuro-glio-vascular unit [439,440,441,442]. The biphasic effect of ouabain also extends to retinal physiology. Inhibition of NKA pumping function by high concentrations of ouabain induces extensive death of retinal neurons in animal models [442,443,444]. On the other hand, NKA-mediated signal transduction by low concentrations of ouabain can prevent retinal ganglion cells (RGC) death [445].
In retinal pathologies, optic nerve degeneration leading to the death of RGCs is a hallmark of conditions like glaucoma and traumatic optic neuropathy, resulting in irreversible blindness and disruption of essential physiological processes regulated by these cells [446,447,448]. For instance, in glaucoma, the affected RGC populations undergo a prolonged degenerative process, as observed in studies by [449]. For this reason, understanding the complexity of RGC death and survival mechanisms stands as a pivotal topic worthy of discussion. Additionally, acute injuries to the optic nerve, such as axotomy or transection, are induced in animal models to investigate the processes governing the death and survival of these cells. Various in vivo and in vitro models, including those developed by [450,451] have been instrumental in studying RGC survival and optic nerve regeneration [452]. In order to prevent or delay the death of these cells, different neuroprotective mechanisms have been identified, such as the secretion of neurotrophic factors, the activation of antioxidant enzymes, the increased expression of anti-apoptotic proteins, the induction of autophagy and proteostasis regulation [453,454,455,456] These mechanisms can modulate cellular responses to stress, inflammation, ischemia and apoptosis, and thus increase the survival of RGCs.
Signaling pathways regulated by NKA in the retina are poorly understood. However, studies have indicated that ouabain promotes RGC survival, after optic nerve axotomy, through NKA-mediated activation of Src kinase and subsequent transactivation of epidermal growth factor receptor, as well as activation of protein kinase C delta and c-Jun N-terminal kinase signaling pathways [445,457]. In retinal cells, recent evidence indicates that ouabain prevents RGC death by stimulating autophagy [458]. In addition, ouabain also decreases oxidative stress, modulates microglial reactivity and expression of cytokines such as brain-derived neurotrophic factor, TNF-α and interleukin 1-β [458,459], which are critical for neuronal survival and glial functions. Thus, future studies on the physiological functions of NKA-mediated neuron-glia signaling, as well as in retinal disease models, may contribute to the development of new therapeutic strategies against retinal degeneration.

Gene Therapy and the Future of Vision Recovery

Gene therapy is a groundbreaking medical field that has achieved remarkable progress over the past two decades, providing newfound hope for the treatment of previously untreatable and hereditary diseases. Among the numerous applications within gene therapy, retina gene therapy emerges as a particularly promising avenue, offering a potential solution to a broad spectrum of ocular disorders and vision impairments. The eye, with its unique characteristics, presents a compelling organ for gene therapy. Its privileged immune status makes it an ideal candidate for genetic interventions, decreasing potential immune responses to gene therapy treatments [460]. Moreover, the eye's accessibility for medication delivery is unmatched, allowing for targeted and minimally invasive interventions. It is a critical consideration given the complex structure and sensitivity of ocular tissues. Among these tissues, the retina is a primary candidate for gene therapy. Its visibility enables precise monitoring and evaluation, which is essential for assessing the effectiveness of gene therapy. The absence of lymphatic vessels, a direct blood network in the outer layers, and a lack of cell division post-birth make the retina an ideal canvas for achieving sustained transgene expression.
In recent years, substantial improvements have been made in identifying the genes responsible for genetic retinal diseases [359], thanks to advanced techniques like next-generation sequencing, single nucleotide polymorphism microarrays, and comparative genomic hybridization. This burgeoning genetic knowledge has laid the foundation for more precise therapeutic interventions, moving beyond symptom management toward targeting the root causes of these conditions.
The advent of gene therapies has ushered in a new era of hope for individuals afflicted by monogenic eye diseases. Ophthalmology has been at the forefront of gene therapy research, capitalizing on the eye's unique characteristics for effective gene delivery. In 2017, the approval of voretigene neparvovec-rzyl (Luxturna) marked a significant milestone, becoming the first FDA-approved in vivo gene therapy for RPE65-associated biallelic variants. Luxturna belongs to the concept of gene replacement or augmentation in which a functional copy of a damaged, non-functional gene is added to augment the production of functional protein, being a natural fit to inherited retinal diseases caused by loss-of-function mutations. The achievement with Luxturna has not only transformed the treatment landscape but has also ignited a flurry of research activities in the field of ocular gene therapy [461].
Subsequently, the field expanded its horizons, recognizing that many complex diseases are influenced not only by the primary disease-causing gene but also by modifier genes that can either exacerbate or mitigate the condition's effects [462,463]. The concept of modifier gene therapy is now at the forefront of research, aiming to fine-tune the treatment of multifactorial disorders like glaucoma, diabetic retinopathy, macular degeneration, between others, by targeting genes that play a pivotal role in disease progression. OCU400 (Ocugen Inc.) is a modifier gene therapy to treat people with inherited retinal diseases, Retinitis Pigmentosa, caused by a broad range of gene mutations, and is currently in clinical trial phase 2. The therapeutic candidate is an adeno-associated virus serotype 5 (AAV5) containing the gene for human nuclear hormone receptor NR2E3 and as a modifier gene therapy, it expands the patient reach treating multiple mutations with a single product instead of developing a product for every mutation, and potentially decreasing costs [464]. This evolution signifies a shift towards more precise and personalized approaches, with the goal of not only treating symptoms but also addressing the root causes of complex diseases, ultimately paving the way for more effective and tailored therapeutic interventions.
Gene therapies using CRISPR/Cas9 technology are also in clinical trials. In these gene editing therapies, mutations in a gene are corrected or expression of the mutated protein is reduced to alter a diseased state. In early 2020, an open-label, single ascending dose study started to enroll LCA10 patients to test CRISPR-Cas9 gene edition to correct the IVS26 mutation (NCT03872479), by delivering a highly specific small guide-RNAs to the gene CEP290, along with SaCas9 under control of a photoreceptor-specific GRK1 promoter, packaged into an AAV5 vector into the subretinal space [465]. In 2022 the developers released some results in which 3 out of 14 patients showed clinically meaningful improvements in best-corrected visual acuity. The results provided a proof of concept that CRISPR-based gene editing can be safely delivered to the retina, however the developers have made the decision to pause enrollment while looking for partners to continue the studies.
In advanced cases of retinal degeneration in which the photoreceptors are very compromised, optogenetics come as an innovative tool involving the delivery of light-sensitive microbial opsins to the remaining retinal cells using gene therapy [466] With optogenetics, it is possible to treat the disease independent of the underlying gene defect. It provides new photosensitive genes, such as channel rhodopsin, halorhodopsin, and melanopsin, to the retina’s output cells, the ganglion cells, or bipolar cells, adding the light-activity to these cells in their existing neural networks [467,468]. Promising results in preclinical rodent and nonhuman primate models, led to different clinical trials (NCT05417126, NCT04945772, NCT04945773, NCT02556736, NCT03326336) less than a decade after the first attempt at visual restoration using this approach. However, optogenetics still require optimization to allow for complex visual processing and to increase the sensitivity of the photosensitive proteins that are currently in use.
The future of vision recovery through retinal gene therapy holds great promise, but also presents a complex landscape of challenges. Advances in vector design are expected to prioritize reducing immunogenicity, enhancing target specificity, and improving transduction efficiency, with potential shifts towards less immunogenic vector options. Overcoming the payload size limitations of vectors may involve innovative strategies, such as non-viral techniques or dual/triple transduction methods. While the retina's immune privilege makes it an ideal candidate for gene therapies, it introduces unique obstacles, including the identification of disease-causing genes, precise delivery, optimal administration routes, clinical feasibility, and managing immune responses. Additionally, physically delivering therapeutic products to the delicate and isolated retinal tissue remains a formidable challenge. Nevertheless, ongoing research and a multitude of creative approaches demonstrate the determination of the scientific community to unlock the full potential of retinal gene therapy, offering hope for the restoration of vision and a brighter future for individuals with retinal diseases.

Cell Reprogramming

Diseases that affect the retina usually lead to visual loss, which is very debilitating. Many research groups are then investing on the study of innovative therapeutic approaches to stop or delay disease progression, protect the affected cell populations or even to promote the regeneration of the retina for the reversal of progressive blindness. The regenerative approaches are directed either to the generation of new neurons ex vivo for transplantation [469], or to the generation of the affected neurons from endogenous cell sources, such as Müller glia (MG) [470]. In teleost fish MG acts as a multipotent stem cell which, in response to damage, dedifferentiate generating MG-derived progenitors which then give rise to all retinal cell types [471]. However, this regenerative potential is virtually absent in mammalian retinas [470,472]. Recently, Hoang at al described the differential activation of signaling pathways in response to damage in fish, chick, and mice retinas [473]. They showed that Nuclear Factor I (NFI) transcription factors maintain and restore quiescence in mammalian MG while in zebrafish and chick they are essential for regeneration when MG transit from quiescence to reactive [473].
Many research groups are then investing in identifying and testing reprogramming strategies to reactivate the regenerative potential of Müller glia mainly through the modulation of the expression of specific transcription factors. Using transgenic mice to overexpress the proneural transcription factor Ascl1 alone and in combination to damage, Dr Reh’s group showed the generation of new neurons from MG, which are mostly bipolar cells [474,475]. In addition, when Ascl1 was used together with a histone deacetylase inhibitor they were able to generate bipolar cells from MG of adult damaged retinas, and these new neurons formed synaptic connections [476]. Recently, Todd and coworkers generated Retinal ganglion-like cells (RGC-like cells) with the combination of Ascl1 and another proneural bHLH factor: Atoh1 [477]. And when Pou4f2 and Isl1 were added to this equation more molecular characteristics of RGCs [478] were obtained, although no demonstration of the ability of these cells to project axons to brain targets were shown.
On the other hand, studies using AAV vectors have also presented data on the generation of retinal ganglion cells, upon combined coexpression of Math5/Atoh7 and Brn3b/Pou4f2 [479] and downregulation of Ptbp1 [480]; or photoreceptors through two AAV injections, one with beta-catenin to stimulate proliferation and the other with Otx2, Crx and Nrl [481]. However, demonstration of the lack of specificity of alleged glial promoters raised concerns on some of these studies and highlighted the need for proper strategies for tracing MG as the cell of origin in protocols for MG to neuron reprogramming [482,483,484,485]. Groups are also searching for alterative or complementary tools for MG reprogramming such as investigating ways to identify novel cell-type specific regulatory regions regions to drive gene expression [486], modifications in AAV- carried sequences testing modifications in AAV-carried sequences [487], or screening compounds to increase neurogenic reprogramming of MG [488]. Great advance was obtained in the last decades on the identification of critical approaches necessary to obtain reliable information which could work as proof of principle for the investment on regenerative strategies for ocular diseases [489] .
However, many challenges are still ahead, as emphasized by alliances of investigators who are working in collaborative networks to promote advances in this field [490]. Even though relevant data accumulated it is essential to guarantee that translational approaches are designed to promote the generation and integration of new neurons in the retinal tissue to yield restoration of lost functions.

Author Contributions

All authors contributed to the current review.

Funding

This study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). RMR was supported by FAPERJ, grant nos. E-26/202.668/2018 and E-26/010.002215/2019; Grant nos. 426342/2018-6 and 312157/2016-9; INCT-INNT (National Institute for Translational Neuroscience).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This review aims to pay tribute to Fernando Garcia de Mello, who throughout his career had the retina as his main focus of study and influenced the careers of many generations of researchers in Brazil and abroad. To this end, it was written by researchers who were directly or indirectly influenced by the vision of science coming from this outstanding neuroscientist.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vergara, M. N.; Canto-Soler, M. V., Rediscovering the chick embryo as a model to study retinal development. Neural development 2012, 7, 22. [CrossRef]
  2. L. Belecky-Adams, T.; Haynes, T.; M. Wilson, J.; Del Rio-Tsonis, K., Chapter 8 - The Chick as a Model for Retina Development and Regeneration. In Animal Models in Eye Research, Tsonis, P. A., Ed. Academic Press: London, 2008; pp 102-119. [CrossRef]
  3. Cebulla, C. M.; Zelinka, C. P.; Scott, M. A.; Lubow, M.; Bingham, A.; Rasiah, S.; Mahmoud, A. M.; Fischer, A. J., A chick model of retinal detachment: cone rich and novel. PLoS One 2012, 7, e44257. [CrossRef]
  4. Al Sabaani, N., Exendin-4 inhibits high glucose-induced oxidative stress in retinal pigment epithelial cells by modulating the expression and activation of p(66)Shc. Cutan Ocul Toxicol 2021, 40, 175-186. [CrossRef]
  5. Ventura, A. L. M.; De Mello, F. G.; De Melo Reis, R. A., Methods of dopamine research in retina cells. Methods in Molecular Biology 2013, 964, 25-42. [CrossRef]
  6. Tempone, M. H.; Freitas, H. R.; Schitine, C. S.; de Melo Reis, R. A., Visualizing Shifts on Neuron-Glia Circuit with the Calcium Imaging Technique. Journal of visualized experiments : JoVE 2022. [CrossRef]
  7. Arthur, P.; Muok, L.; Nathani, A.; Zeng, E. Z.; Sun, L.; Li, Y.; Singh, M., Bioengineering Human Pluripotent Stem Cell-Derived Retinal Organoids and Optic Vesicle-Containing Brain Organoids for Ocular Diseases. Cells 2022, 11. [CrossRef]
  8. Calaza, K. d. C.; Fluminense, U. F.; Gardino, P. F.; Janeiro, U. F. d. R. d., Neurochemical phenotype and birthdating of specific cell populations in the chick retina. Anais da Academia Brasileira de Ciencias 2010, 82, 595-608. [CrossRef]
  9. Li, M.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Sun, C.; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, B. a. R., Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China; Xu, N.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Bian, P.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Tian, X.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Wang, X.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Wang, Y.; State Key Laboratory of Agrobiotechnology, C. o. B. S., China Agricultural University, Beijing 100193, China; National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Beijing), C. A. U., Beijing 100193, China; Jia, X.; Department of Animal Science, I. S. U., Ames, IA 50011, USA; School of Life Science and Engineering, F. U., Foshan 528225, China; Heller, R.; Section for Computational and RNA Biology, D. o. B., University of Copenhagen, Copenhagen N 2200, Denmark; Wang, M.; Howard Hughes Medical Institute, U. o. C. S. C., Santa Cruz, CA 95064, USA; Department of Ecology and Evolutionary Biology, U. o. C. S. C., Santa Cruz, CA 95064, USA; Wang, F.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Dai, X.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Luo, R.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Guo, Y.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Wang, X.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Yang, P.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Hu, D.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Liu, Z.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Fu, W.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Zhang, S.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Li, X.; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, B. a. R., Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China; Wen, C.; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, B. a. R., Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China; Lan, F.; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, B. a. R., Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China; Siddiki, A. Z.; Department of Pathology and Parasitology, F. o. V. M., Chittagong Veterinary and Animal Sciences University, Chittagong 4202, Bangladesh; Suwannapoom, C.; School of Agriculture and Natural Resources, U. o. P., Phayao, Thailand; Zhao, X.; Department of Animal Science, M. U., Montreal, QC, Canada; Nie, Q.; Department of Animal Genetics, B. a. R., College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Hu, X.; State Key Laboratory of Agrobiotechnology, C. o. B. S., China Agricultural University, Beijing 100193, China; Jiang, Y.; Key Laboratory of Animal Genetics, B. a. R. o. S. P., College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; Center for Functional Genomics, I. o. F. A., Northwest A&F University, China; Yang, N.; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, B. a. R., Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China, De Novo Assembly of 20 Chicken Genomes Reveals the Undetectable Phenomenon for Thousands of Core Genes on Microchromosomes and Subtelomeric Regions. Molecular Biology and Evolution 2023, 39.
  10. Yamagata, M.; Yan, W.; Sanes, J. R., A cell atlas of the chick retina based on single-cell transcriptomics. eLife 2021, 10, 1-39. [CrossRef]
  11. Hoon, M.; Okawa, H.; Della Santina, L.; Wong, R. O. L., Functional architecture of the retina: Development and disease. In Progress in retinal and eye research, Elsevier Ltd: 2014; Vol. 42, pp 44-84. [CrossRef]
  12. Reichenbach, A.; Bringmann, A., New functions of Müller cells. Glia 2013, 61, 651-78. [CrossRef]
  13. Karl, M. O.; Reh, T. A., Regenerative medicine for retinal diseases: activating endogenous repair mechanisms. Trends Mol Med 2010, 16, 193-202. [CrossRef]
  14. Vecino, E.; Rodriguez, F. D.; Ruzafa, N.; Pereiro, X.; Sharma, S. C., Glia-neuron interactions in the mammalian retina. Prog Retin Eye Res 2016, 51, 1-40. [CrossRef]
  15. Seifert, M.; Baden, T.; Osorio, D., The retinal basis of vision in chicken. In Seminars in Cell and Developmental Biology, Elsevier Ltd: 2020. [CrossRef]
  16. Baden, T.; Osorio, D., The Retinal Basis of Vertebrate Color Vision. Annu Rev Vis Sci 2019, 5, 177-200. [CrossRef]
  17. Barnstable, C. J., Glutamate and GABA in retinal circuitry. Current opinion in neurobiology 1993, 3, 520-525. [CrossRef]
  18. Münch, T. A.; da Silveira, R. A.; Siegert, S.; Viney, T. J.; Awatramani, G. B.; Roska, B., Approach sensitivity in the retina processed by a multifunctional neural circuit. Nature neuroscience 2009, 12, 1308-16. [CrossRef]
  19. Pourcho, R. G., Neurotransmitters in the retina. Curr Eye Res 1996, 15, 797-803. [CrossRef]
  20. Martins, R. A.; Pearson, R. A., Control of cell proliferation by neurotransmitters in the developing vertebrate retina. Brain Res 2008, 1192, 37-60. [CrossRef]
  21. Hoon, M.; Okawa, H.; Della Santina, L.; Wong, R. O., Functional architecture of the retina: development and disease. Prog Retin Eye Res 2014, 42, 44-84. [CrossRef]
  22. Ferreira, I. L.; Duarte, C. B.; Carvalho, A. P., Ca2+ influx through glutamate receptor-associated channels in retina cells correlates with neuronal cell death. European journal of pharmacology 1996, 302, 153-162. [CrossRef]
  23. Rodríguez Villanueva, J.; Martín Esteban, J.; Rodríguez Villanueva, L. J., Retinal Cell Protection in Ocular Excitotoxicity Diseases. Possible Alternatives Offered by Microparticulate Drug Delivery Systems and Future Prospects. Pharmaceutics 2020, 12, 94. [CrossRef]
  24. Carpi-Santos, R.; de Melo Reis, R. A.; Gomes, F. C. A.; Calaza, K. C., Contribution of Müller Cells in the Diabetic Retinopathy Development: Focus on Oxidative Stress and Inflammation. Antioxidants 2022, 11, 617. [CrossRef]
  25. Santos, A. E.; Carvalho, A. L.; Lopes, M. C.; Carvalho, A. P., Differential postreceptor signaling events triggered by excitotoxic stimulation of different ionotropic glutamate receptors in retinal neurons. J Neurosci Res 2001, 66, 643-55. [CrossRef]
  26. Lambuk, L.; Jafri, A. J. A.; Iezhitsa, I.; Agarwal, R.; Bakar, N. S.; Agarwal, P.; Abdullah, A.; Ismail, N. M., Dose-dependent effects of NMDA on retinal and optic nerve morphology in rats. International journal of ophthalmology 2019, 12, 746-753.
  27. Rosenstein, R. E., New actors in optic neuritis pathogenesis: An Editorial for "Influence of retinal NMDA receptor activity during autoimmune optic neuritis" on page 693. Journal of neurochemistry 2020, 153, 671-673. [CrossRef]
  28. Ikonomidou, C.; Turski, L., Why did NMDA receptor antagonists fail clinical trials for stroke and traumatic brain injury? Lancet Neurol 2002, 1, 383-386. [CrossRef]
  29. Traynelis, S. F.; Wollmuth, L. P.; McBain, C. J.; Menniti, F. S.; Vance, K. M.; Ogden, K. K.; Hansen, K. B.; Yuan, H.; Myers, S. J.; Dingledine, R., Glutamate receptor ion channels: structure, regulation, and function. Pharmacol Rev 2010, 62, 405-96. [CrossRef]
  30. Pinto, M. C. X.; Kihara, A. H.; Goulart, V. A. M.; Tonelli, F. M. P.; Gomes, K. N.; Ulrich, H.; Resende, R. R., Calcium signaling and cell proliferation. Cellular signalling 2015, 27, 2139-2149. [CrossRef]
  31. de Melo Reis, R. A.; Freitas, H. R.; de Mello, F. G., Cell Calcium Imaging as a Reliable Method to Study Neuron-Glial Circuits. Frontiers in neuroscience 2020, 14, 569361. [CrossRef]
  32. Dawson, T. M.; Dawson, V. L., Chapter Four - Nitric Oxide Signaling in Neurodegeneration and Cell Death. In Advances in Pharmacology, Pasternak, G. W.; Coyle, J. T., Eds. Academic Press: 2018; Vol. 82, pp 57-83. [CrossRef]
  33. Marshall, J.; Wong, K. Y.; Rupasinghe, C. N.; Tiwari, R.; Zhao, X.; Berberoglu, E. D.; Sinkler, C.; Liu, J.; Lee, I.; Parang, K.; Spaller, M. R.; Hüttemann, M.; Goebel, D. J., Inhibition of N-Methyl-D-aspartate-induced Retinal Neuronal Death by Polyarginine Peptides Is Linked to the Attenuation of Stress-induced Hyperpolarization of the Inner Mitochondrial Membrane Potential. The Journal of biological chemistry 2015, 290, 22030-48. [CrossRef]
  34. Martel, M. A.; Ryan, T. J.; Bell, K. F.; Fowler, J. H.; McMahon, A.; Al-Mubarak, B.; Komiyama, N. H.; Horsburgh, K.; Kind, P. C.; Grant, S. G.; Wyllie, D. J.; Hardingham, G. E., The subtype of GluN2 C-terminal domain determines the response to excitotoxic insults. Neuron 2012, 74, 543-56. [CrossRef]
  35. Opere, C. A.; Heruye, S.; Njie-Mbye, Y. F.; Ohia, S. E.; Sharif, N. A., Regulation of Excitatory Amino Acid Transmission in the Retina: Studies on Neuroprotection. J Ocul Pharmacol Ther 2018, 34, (1-2), 107-118. [CrossRef]
  36. Park, Y. H.; Broyles, H. V.; He, S.; McGrady, N. R.; Li, L.; Yorio, T., Involvement of AMPA Receptor and Its Flip and Flop Isoforms in Retinal Ganglion Cell Death Following Oxygen/Glucose Deprivation. Invest Ophthalmol Vis Sci 2016, 57, 508-26. [CrossRef]
  37. Cossenza, M.; Cadilhe, D. V.; Coutinho, R. N.; Paes-de-Carvalho, R., Inhibition of protein synthesis by activation of NMDA receptors in cultured retinal cells: a new mechanism for the regulation of nitric oxide production. Journal of neurochemistry 2006, 97, 1481-93. [CrossRef]
  38. Gladulich, L. F. H.; Peixoto-Rodrigues, M. C.; Campello-Costa, P.; Paes-de-Carvalho, R.; Cossenza, M., NMDA-induced nitric oxide generation and CREB activation in central nervous system is dependent on eukaryotic elongation factor 2 kinase. Biochim Biophys Acta Mol Cell Res 2020, 1867, 118783. [CrossRef]
  39. Carlberg, U.; Nilsson, A.; Nygård, O., Functional properties of phosphorylated elongation factor 2. Eur J Biochem 1990, 191, 639-45. [CrossRef]
  40. Nairn, A. C.; Matsushita, M.; Nastiuk, K.; Horiuchi, A.; Mitsui, K.; Shimizu, Y.; Palfrey, H. C., Elongation factor-2 phosphorylation and the regulation of protein synthesis by calcium. Prog Mol Subcell Biol 2001, 27, 91-129. [CrossRef]
  41. Price, N. T.; Redpath, N. T.; Severinov, K. V.; Campbell, D. G.; Russell, J. M.; Proud, C. G., Identification of the phosphorylation sites in elongation factor-2 from rabbit reticulocytes. FEBS letters 1991, 282, 253-8. [CrossRef]
  42. Rodnina, M. V.; Savelsbergh, A.; Wintermeyer, W., Dynamics of translation on the ribosome: molecular mechanics of translocation. FEMS Microbiol Rev 1999, 23, 317-33. [CrossRef]
  43. Ryazanov, A. G.; Shestakova, E. A.; Natapov, P. G., Phosphorylation of elongation factor 2 by EF-2 kinase affects rate of translation. Nature 1988, 334, 170-3. [CrossRef]
  44. Scheetz, A. J.; Nairn, A. C.; Constantine-Paton, M., N-methyl-D-aspartate receptor activation and visual activity induce elongation factor-2 phosphorylation in amphibian tecta: a role for N-methyl-D-aspartate receptors in controlling protein synthesis. Proceedings of the National Academy of Sciences of the United States of America 1997, 94, 14770-5. [CrossRef]
  45. Hsu, W. L.; Chung, H. W.; Wu, C. Y.; Wu, H. I.; Lee, Y. T.; Chen, E. C.; Fang, W.; Chang, Y. C., Glutamate Stimulates Local Protein Synthesis in the Axons of Rat Cortical Neurons by Activating α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid (AMPA) Receptors and Metabotropic Glutamate Receptors. The Journal of biological chemistry 2015, 290, 20748-20760. [CrossRef]
  46. Dieterich, D. C.; Hodas, J. J.; Gouzer, G.; Shadrin, I. Y.; Ngo, J. T.; Triller, A.; Tirrell, D. A.; Schuman, E. M., In situ visualization and dynamics of newly synthesized proteins in rat hippocampal neurons. Nature neuroscience 2010, 13, 897-905. [CrossRef]
  47. Scheetz, A. J.; Nairn, A. C.; Constantine-Paton, M., NMDA receptor-mediated control of protein synthesis at developing synapses. Nature neuroscience 2000, 3, 211-6. [CrossRef]
  48. Verpelli, C.; Piccoli, G.; Zibetti, C.; Zanchi, A.; Gardoni, F.; Huang, K.; Brambilla, D.; Di Luca, M.; Battaglioli, E.; Sala, C., Synaptic activity controls dendritic spine morphology by modulating eEF2-dependent BDNF synthesis. The Journal of neuroscience : the official journal of the Society for Neuroscience 2010, 30, 5830-42. [CrossRef]
  49. Cossenza, M.; Socodato, R.; Mejía-García, T. A.; Domith, I.; Portugal, C. C.; Gladulich, L. F. H.; Duarte-Silva, A. T.; Khatri, L.; Antoine, S.; Hofmann, F.; Ziff, E. B.; Paes-de-Carvalho, R., Protein synthesis inhibition promotes nitric oxide generation and activation of CGKII-dependent downstream signaling pathways in the retina. Biochim Biophys Acta Mol Cell Res 2020, 1867, 118732. [CrossRef]
  50. Numakawa, T.; Suzuki, S.; Kumamaru, E.; Adachi, N.; Richards, M.; Kunugi, H., BDNF function and intracellular signaling in neurons. Histology and histopathology 2010, 25, 237-58.
  51. Schmid, R. S.; Graff, R. D.; Schaller, M. D.; Chen, S.; Schachner, M.; Hemperly, J. J.; Maness, P. F., NCAM stimulates the Ras-MAPK pathway and CREB phosphorylation in neuronal cells. Journal of neurobiology 1999, 38, 542-58. [CrossRef]
  52. Singh, L.; Bhatti, R., Signaling Pathways Involved in the Neuroprotective Effect of Osthole: Evidence and Mechanisms. Mol Neurobiol 2023. [CrossRef]
  53. Luhmann, H. J.; Kirischuk, S.; Sinning, A.; Kilb, W., Early GABAergic circuitry in the cerebral cortex. Current opinion in neurobiology 2014, 26, 72-8. [CrossRef]
  54. Mosinger, J. L.; Yazulla, S.; Studholme, K. M., GABA-like immunoreactivity in the vertebrate retina: a species comparison. Exp Eye Res 1986, 42, 631-44. [CrossRef]
  55. Wu, C.; Sun, D., GABA receptors in brain development, function, and injury. Metab Brain Dis 2015, 30, 367-79. [CrossRef]
  56. Siucinska, E., Γ-Aminobutyric acid in adult brain: an update. Behav Brain Res 2019, 376, 112224. [CrossRef]
  57. Nuss, P., Anxiety disorders and GABA neurotransmission: a disturbance of modulation. Neuropsychiatr Dis Treat 2015, 11, 165-75. [CrossRef]
  58. Wässle, H., Parallel processing in the mammalian retina. Nature reviews. Neuroscience 2004, 5, 747-57. [CrossRef]
  59. Calaza Kda, C.; Gardino, P. F., Neurochemical phenotype and birthdating of specific cell populations in the chick retina. Anais da Academia Brasileira de Ciencias 2010, 82, 595-608. [CrossRef]
  60. De Sampaio Schitine, C.; Kubrusly, R. C.; De Melo Reis, R. A.; Yamasaki, E. N.; De Mello, M. C.; De Mello, F. G., GABA uptake by purified avian Müller glia cells in culture. Neurotox Res 2007, 12, 145-53. [CrossRef]
  61. Ferreira, D. D.; Stutz, B.; de Mello, F. G.; Reis, R. A.; Kubrusly, R. C., Caffeine potentiates the release of GABA mediated by NMDA receptor activation: Involvement of A1 adenosine receptors. Neuroscience 2014, 281, 208-15. [CrossRef]
  62. Frederick, J. M., The emergence of GABA-accumulating neurons during retinal histogenesis in the embryonic chick. Exp Eye Res 1987, 45, 933-45. [CrossRef]
  63. Hokoç, J. N.; Ventura, A. L.; Gardino, P. F.; De Mello, F. G., Developmental immunoreactivity for GABA and GAD in the avian retina: possible alternative pathway for GABA synthesis. Brain Res 1990, 532, (1-2), 197-202. [CrossRef]
  64. Sun, H.; Crossland, W. J., Quantitative assessment of localization and colocalization of glutamate, aspartate, glycine, and GABA immunoreactivity in the chick retina. The Anatomical record 2000, 260, 158-79. [CrossRef]
  65. Lee, S. E.; Lee, Y.; Lee, G. H., The regulation of glutamic acid decarboxylases in GABA neurotransmission in the brain. Arch Pharm Res 2019, 42, 1031-1039. [CrossRef]
  66. Soghomonian, J. J.; Martin, D. L., Two isoforms of glutamate decarboxylase: why? Trends in pharmacological sciences 1998, 19, 500-5. [CrossRef]
  67. Yamasaki, E. N.; Barbosa, V. D.; De Mello, F. G.; Hokoc, J. N., GABAergic system in the developing mammalian retina: dual sources of GABA at early stages of postnatal development. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 1999, 17, 201-13. [CrossRef]
  68. Madsen, K. K.; White, H. S.; Schousboe, A., Neuronal and non-neuronal GABA transporters as targets for antiepileptic drugs. Pharmacol Ther 2010, 125, 394-401. [CrossRef]
  69. Pinal, C. S.; Tobin, A. J., Uniqueness and redundancy in GABA production. Perspect Dev Neurobiol 1998, 5, (2-3), 109-18.
  70. Wu, Z.; Guo, Z.; Gearing, M.; Chen, G., Tonic inhibition in dentate gyrus impairs long-term potentiation and memory in an Alzheimer's [corrected] disease model. Nature communications 2014, 5, 4159. [CrossRef]
  71. Kwak, H.; Koh, W.; Kim, S.; Song, K.; Shin, J. I.; Lee, J. M.; Lee, E. H.; Bae, J. Y.; Ha, G. E.; Oh, J. E.; Park, Y. M.; Kim, S.; Feng, J.; Lee, S. E.; Choi, J. W.; Kim, K. H.; Kim, Y. S.; Woo, J.; Lee, D.; Son, T.; Kwon, S. W.; Park, K. D.; Yoon, B. E.; Lee, J.; Li, Y.; Lee, H.; Bae, Y. C.; Lee, C. J.; Cheong, E., Astrocytes Control Sensory Acuity via Tonic Inhibition in the Thalamus. Neuron 2020, 108, 691-706.e10. [CrossRef]
  72. Krantis, A., GABA in the Mammalian Enteric Nervous System. News Physiol Sci 2000, 15, 284-290. [CrossRef]
  73. De, A.; Dos, S.; Nora, H.; Yamasaki, E.; Gardino, P.; Mello, F., Regulation of glutamic acid decarboxylase of chick and rat retina cells by GABA and excitatory amino acids. Anais da Academia Brasileira de Ciencias 2000, 72. [CrossRef]
  74. Sequerra, E. B.; Gardino, P.; Hedin-Pereira, C.; de Mello, F. G., Putrescine as an important source of GABA in the postnatal rat subventricular zone. Neuroscience 2007, 146, 489-93. [CrossRef]
  75. Kim, J. I.; Ganesan, S.; Luo, S. X.; Wu, Y. W.; Park, E.; Huang, E. J.; Chen, L.; Ding, J. B., Aldehyde dehydrogenase 1a1 mediates a GABA synthesis pathway in midbrain dopaminergic neurons. Science 2015, 350, 102-6. [CrossRef]
  76. Magri, C.; Giacopuzzi, E.; La Via, L.; Bonini, D.; Ravasio, V.; Elhussiny, M. E. A.; Orizio, F.; Gangemi, F.; Valsecchi, P.; Bresciani, R.; Barbon, A.; Vita, A.; Gennarelli, M., A novel homozygous mutation in GAD1 gene described in a schizophrenic patient impairs activity and dimerization of GAD67 enzyme. Scientific reports 2018, 8, 15470. [CrossRef]
  77. Fletcher, E. L.; Phipps, J. A.; Ward, M. M.; Puthussery, T.; Wilkinson-Berka, J. L., Neuronal and glial cell abnormality as predictors of progression of diabetic retinopathy. Curr Pharm Des 2007, 13, 2699-712. [CrossRef]
  78. Malomouzh, A.; Ilyin, V.; Nikolsky, E., Components of the GABAergic signaling in the peripheral cholinergic synapses of vertebrates: a review. Amino acids 2019, 51, 1093-1102. [CrossRef]
  79. Eskandari, S.; Willford, S. L.; Anderson, C. M., Revised Ion/Substrate Coupling Stoichiometry of GABA Transporters. Adv Neurobiol 2017, 16, 85-116. [CrossRef]
  80. Gether, U.; Andersen, P. H.; Larsson, O. M.; Schousboe, A., Neurotransmitter transporters: molecular function of important drug targets. Trends in pharmacological sciences 2006, 27, 375-83. [CrossRef]
  81. Kubrusly, R. C.; da Cunha, M. C.; Reis, R. A.; Soares, H.; Ventura, A. L.; Kurtenbach, E.; de Mello, M. C.; de Mello, F. G., Expression of functional receptors and transmitter enzymes in cultured Muller cells. Brain Res 2005, 1038, 141-9. [CrossRef]
  82. Scimemi, A., Structure, function, and plasticity of GABA transporters. Frontiers in cellular neuroscience 2014, 8, 161. [CrossRef]
  83. Calaza, K. C.; Gardino, P. F.; de Mello, F. G., Transporter mediated GABA release in the retina: role of excitatory amino acids and dopamine. Neurochemistry international 2006, 49, 769-77. [CrossRef]
  84. Schwartz, E. A., Transport-mediated synapses in the retina. Physiological reviews 2002, 82, 875-91. [CrossRef]
  85. Leviel, V., Dopamine release mediated by the dopamine transporter, facts and consequences. Journal of neurochemistry 2011, 118, 475-89. [CrossRef]
  86. Nicholls, D.; Attwell, D., The release and uptake of excitatory amino acids. Trends Pharmacol Sci 1990, 11, 462-8. [CrossRef]
  87. Roux, M. J.; Supplisson, S., Neuronal and glial glycine transporters have different stoichiometries. Neuron 2000, 25, 373-83. [CrossRef]
  88. Calaza Kda, C.; de Mello, M. C.; de Mello, F. G.; Gardino, P. F., Local differences in GABA release induced by excitatory amino acids during retina development: selective activation of NMDA receptors by aspartate in the inner retina. Neurochem Res 2003, 28, 1475-85.
  89. Yazulla, S.; Kleinschmidt, J., Dopamine blocks carrier-mediated release of GABA from retinal horizontal cells. Brain Res 1982, 233, 211-5. [CrossRef]
  90. Do Nascimento, J. L.; Kubrusly, R. C.; Reis, R. A.; De Mello, M. C.; De Mello, F. G., Atypical effect of dopamine in modulating the functional inhibition of NMDA receptors of cultured retina cells. Eur J Pharmacol 1998, 343, 103-10. [CrossRef]
  91. Maggesissi, R. S.; Gardino, P. F.; Guimarães-Souza, E. M.; Paes-de-Carvalho, R.; Silva, R. B.; Calaza, K. C., Modulation of GABA release by nitric oxide in the chick retina: different effects of nitric oxide depending on the cell population. Vision research 2009, 49, 2494-502. [CrossRef]
  92. Ferreira, I. L.; Duarte, C. B.; Santos, P. F.; Carvalho, C. M.; Carvalho, A. P., Release of [3H]GABA evoked by glutamate receptor agonists in cultured chick retina cells: effect of Ca2+. Brain Res 1994, 664, (1-2), 252-6. [CrossRef]
  93. Melone, M.; Ciappelloni, S.; Conti, F., Plasma membrane transporters GAT-1 and GAT-3 contribute to heterogeneity of GABAergic synapses in neocortex. Front Neuroanat 2014, 8, 72. [CrossRef]
  94. do Nascimento, J. L.; Ventura, A. L.; Paes de Carvalho, R., Veratridine- and glutamate-induced release of [3H]-GABA from cultured chick retina cells: possible involvement of a GAT-1-like subtype of GABA transporter. Brain Res 1998, 798, (1-2), 217-22. [CrossRef]
  95. Borges-Martins, V. P. P.; Ferreira, D. D. P.; Souto, A. C.; Oliveira Neto, J. G.; Pereira-Figueiredo, D.; da Costa Calaza, K.; de Jesus Oliveira, K.; Manhaes, A. C.; de Melo Reis, R. A.; Kubrusly, R. C. C., Caffeine regulates GABA transport via A1R blockade and cAMP signaling. Neurochem Int 2019, 104550. [CrossRef]
  96. Tapia, R.; Arias, C., Selective stimulation of neurotransmitter release from chick retina by kainic and glutamic acids. Journal of neurochemistry 1982, 39, 1169-78. [CrossRef]
  97. Calaza, K. C.; de Mello, F. G.; Gardino, P. F., GABA release induced by aspartate-mediated activation of NMDA receptors is modulated by dopamine in a selective subpopulation of amacrine cells. J Neurocytol 2001, 30, 181-93.
  98. Pohl-Guimarães, F.; Calaza Kda, C.; Yamasaki, E. N.; Kubrusly, R. C.; Reis, R. A., Ethanol increases GABA release in the embryonic avian retina. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2010, 28, 189-94. [CrossRef]
  99. Cristóvão-Ferreira, S.; Vaz, S. H.; Ribeiro, J. A.; Sebastião, A. M., Adenosine A2A receptors enhance GABA transport into nerve terminals by restraining PKC inhibition of GAT-1. Journal of neurochemistry 2009, 109, 336-47. [CrossRef]
  100. Ehinger, B.; Florén, I., Quantitation of the uptake of indoleamines and dopamine in the rabbit retina. Exp Eye Res 1978, 26, 1-11. [CrossRef]
  101. Feldkaemper, M.; Schaeffel, F., An updated view on the role of dopamine in myopia. Exp Eye Res 2013, 114, 106-19. [CrossRef]
  102. Reis, R. A.; Ventura, A. L.; Kubrusly, R. C.; de Mello, M. C.; de Mello, F. G., Dopaminergic signaling in the developing retina. Brain Res Rev 2007, 54, 181-8. [CrossRef]
  103. Lankford, K. L.; DeMello, F. G.; Klein, W. L., D1-type dopamine receptors inhibit growth cone motility in cultured retina neurons: evidence that neurotransmitters act as morphogenic growth regulators in the developing central nervous system. Proceedings of the National Academy of Sciences of the United States of America 1988, 85, 4567-71. [CrossRef]
  104. Gardino, P. F.; dos Santos, R. M.; Hokoç, J. N., Histogenesis and topographical distribution of tyrosine hydroxylase immunoreactive amacrine cells in the developing chick retina. Brain Res Dev Brain Res 1993, 72, 226-36. [CrossRef]
  105. Kubrusly, R. C.; Guimarães, M. Z.; Vieira, A. P.; Hokoç, J. N.; Casarini, D. E.; de Mello, M. C.; de Mello, F. G., L-DOPA supply to the neuro retina activates dopaminergic communication at the early stages of embryonic development. Journal of neurochemistry 2003, 86, 45-54. [CrossRef]
  106. Ming, M.; Li, X.; Fan, X.; Yang, D.; Li, L.; Chen, S.; Gu, Q.; Le, W., Retinal pigment epithelial cells secrete neurotrophic factors and synthesize dopamine: possible contribution to therapeutic effects of RPE cell transplantation in Parkinson's disease. J Transl Med 2009, 7, 53. [CrossRef]
  107. de Mello, M. C.; Ventura, A. L.; Paes de Carvalho, R.; Klein, W. L.; de Mello, F. G., Regulation of dopamine- and adenosine-dependent adenylate cyclase systems of chicken embryo retina cells in culture. Proceedings of the National Academy of Sciences of the United States of America 1982, 79, 5708-12. [CrossRef]
  108. Callier, S.; Snapyan, M.; Le Crom, S.; Prou, D.; Vincent, J. D.; Vernier, P., Evolution and cell biology of dopamine receptors in vertebrates. Biol Cell 2003, 95, 489-502. [CrossRef]
  109. Soares, H. C.; de Melo Reis, R. A.; De Mello, F. G.; Ventura, A. L.; Kurtenbach, E., Differential expression of D(1A) and D(1B) dopamine receptor mRNAs in the developing avian retina. Journal of neurochemistry 2000, 75, 1071-5. [CrossRef]
  110. de Mello, M. C.; Pinheiro, M. C.; de Mello, F. G., Transient expression of an atypical D1-like dopamine receptor system during avian retina differentiation. Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas / Sociedade Brasileira de Biofisica ... [et al.] 1996, 29, 1035-1044.
  111. Kubrusly, R. C.; Ventura, A. L.; de Melo Reis, R. A.; Serra, G. C.; Yamasaki, E. N.; Gardino, P. F.; de Mello, M. C.; de Mello, F. G., Norepinephrine acts as D1-dopaminergic agonist in the embryonic avian retina: late expression of beta1-adrenergic receptor shifts norepinephrine specificity in the adult tissue. Neurochem Int 2007, 50, 211-8. [CrossRef]
  112. Paes de Carvalho, R.; de Mello, F. G., Expression of A1 adenosine receptors modulating dopamine-dependent cyclic AMP accumulation in the chick embryo retina. Journal of neurochemistry 1985, 44, 845-51. [CrossRef]
  113. Guimarães, M. Z.; Hokoç, J. N.; Duvoisin, R.; Reis, R. A.; De Mello, F. G., Dopaminergic retinal cell differentiation in culture: modulation by forskolin and dopamine. The European journal of neuroscience 2001, 13, 1931-7. [CrossRef]
  114. Borba, J. C.; Henze, I. P.; Silveira, M. S.; Kubrusly, R. C.; Gardino, P. F.; de Mello, M. C.; Hokoc, J. N.; de Mello, F. G., Pituitary adenylate cyclase-activating polypeptide (PACAP) can act as determinant of the tyrosine hydroxylase phenotype of dopaminergic cells during retina development. Brain Res Dev Brain Res 2005, 156, 193-201. [CrossRef]
  115. Katona, I.; Freund, T. F., Endocannabinoid signaling as a synaptic circuit breaker in neurological disease. Nature medicine 2008, 14, 923-30. [CrossRef]
  116. Heifets, B. D.; Castillo, P. E., Endocannabinoid signaling and long-term synaptic plasticity. Annual review of physiology 2009, 71, 283-306. [CrossRef]
  117. Bockmann, E. C.; Brito, R.; Madeira, L. F.; da Silva Sampaio, L.; de Melo Reis, R. A.; França, G. R.; Calaza, K. D. C., The Role of Cannabinoids in CNS Development: Focus on Proliferation and Cell Death. Cell Mol Neurobiol 2022. [CrossRef]
  118. Miranzadeh Mahabadi, H.; Bhatti, H.; Laprairie, R. B.; Taghibiglou, C., Cannabinoid receptors distribution in mouse cortical plasma membrane compartments. Molecular brain 2021, 14, 89. [CrossRef]
  119. Fernández-Ruiz, J. J.; Berrendero, F.; Hernández, M. L.; Romero, J.; Ramos, J. A., Role of endocannabinoids in brain development. Life Sci 1999, 65, (6-7), 725-36. [CrossRef]
  120. da Silva Sampaio, L.; Kubrusly, R. C. C.; Colli, Y. P.; Trindade, P. P.; Ribeiro-Resende, V. T.; Einicker-Lamas, M.; Paes-de-Carvalho, R.; Gardino, P. F.; de Mello, F. G.; De Melo Reis, R. A., Cannabinoid Receptor Type 1 Expression in the Developing Avian Retina: Morphological and Functional Correlation With the Dopaminergic System. Frontiers in cellular neuroscience 2018, 12, 58. [CrossRef]
  121. Kubrusly, R. C. C.; Gunter, A.; Sampaio, L.; Martins, R. S.; Schitine, C. S.; Trindade, P.; Fernandes, A.; Borelli-Torres, R.; Miya-Coreixas, V. S.; Rego Costa, A. C.; Freitas, H. R.; Gardino, P. F.; de Mello, F. G.; Calaza, K. C.; Reis, R. A. M., Neuro-glial cannabinoid receptors modulate signaling in the embryonic avian retina. Neurochem Int 2018, 112, 27-37. [CrossRef]
  122. Jo, A. O.; Noel, J. M.; Lakk, M.; Yarishkin, O.; Ryskamp, D. A.; Shibasaki, K.; McCall, M. A.; Križaj, D., Mouse retinal ganglion cell signalling is dynamically modulated through parallel anterograde activation of cannabinoid and vanilloid pathways. The Journal of physiology 2017, 595, 6499-6516. [CrossRef]
  123. Straiker, A.; Sullivan, J. M., Cannabinoid receptor activation differentially modulates ion channels in photoreceptors of the tiger salamander. Journal of neurophysiology 2003, 89, 2647-54. [CrossRef]
  124. Gallo Afflitto, G.; Aiello, F.; Scuteri, D.; Bagetta, G.; Nucci, C., CB(1)R, CB(2)R and TRPV1 expression and modulation in in vivo, animal glaucoma models: A systematic review. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2022, 150, 112981. [CrossRef]
  125. Cairns, E. A.; Baldridge, W. H.; Kelly, M. E., The Endocannabinoid System as a Therapeutic Target in Glaucoma. Neural plasticity 2016, 2016, 9364091. [CrossRef]
  126. Nucci, C.; Gasperi, V.; Tartaglione, R.; Cerulli, A.; Terrinoni, A.; Bari, M.; De Simone, C.; Agrò, A. F.; Morrone, L. A.; Corasaniti, M. T.; Bagetta, G.; Maccarrone, M., Involvement of the endocannabinoid system in retinal damage after high intraocular pressure-induced ischemia in rats. Investigative ophthalmology & visual science 2007, 48, 2997-3004. [CrossRef]
  127. Rapino, C.; Tortolani, D.; Scipioni, L.; Maccarrone, M., Neuroprotection by (endo)Cannabinoids in Glaucoma and Retinal Neurodegenerative Diseases. Current neuropharmacology 2018, 16, 959-970. [CrossRef]
  128. Schlicker, E.; Timm, J.; Göthert, M., Cannabinoid receptor-mediated inhibition of dopamine release in the retina. Naunyn Schmiedebergs Arch Pharmacol 1996, 354, 791-5. [CrossRef]
  129. Buckley, N. E.; Hansson, S.; Harta, G.; Mezey, E., Expression of the CB1 and CB2 receptor messenger RNAs during embryonic development in the rat. Neuroscience 1998, 82, 1131-49. [CrossRef]
  130. Diacou, R.; Nandigrami, P.; Fiser, A.; Liu, W.; Ashery-Padan, R.; Cvekl, A., Cell fate decisions, transcription factors and signaling during early retinal development. Progress in retinal and eye research 2022, 101093. [CrossRef]
  131. Buckley, N. E.; Hansson, S.; Harta, G.; Mezey, É., Expression of the CB1 and CB2 receptor messenger RNAs during embryonic development in the rat. Neuroscience 1998, 82, 1131-1149. [CrossRef]
  132. Schwitzer, T.; Schwan, R.; Angioi-Duprez, K.; Giersch, A.; Laprevote, V., The Endocannabinoid System in the Retina: From Physiology to Practical and Therapeutic Applications. Neural Plast 2016, 2016, 2916732. [CrossRef]
  133. Straiker, A.; Stella, N.; Piomelli, D.; Mackie, K.; Karten, H. J.; Maguire, G., Cannabinoid CB1 receptors and ligands in vertebrate retina: localization and function of an endogenous signaling system. Proceedings of the National Academy of Sciences of the United States of America 1999, 96, 14565-70. [CrossRef]
  134. Matsuda, S.; Kanemitsu, N.; Nakamura, A.; Mimura, Y.; Ueda, N.; Kurahashi, Y.; Yamamoto, S., Metabolism of Anandamide, an Endogenous Cannabinoid Receptor Ligand, in Porcine Ocular Tissues. Experimental Eye Research 1997, 64, 707-711. [CrossRef]
  135. Freitas, H. R.; Isaac, A. R.; Silva, T. M.; Diniz, G. O. F.; Dos Santos Dabdab, Y.; Bockmann, E. C.; Guimaraes, M. Z. P.; da Costa Calaza, K.; de Mello, F. G.; Ventura, A. L. M.; de Melo Reis, R. A.; Franca, G. R., Cannabinoids Induce Cell Death and Promote P2X7 Receptor Signaling in Retinal Glial Progenitors in Culture. Molecular neurobiology 2019, 56, 6472-6486. [CrossRef]
  136. Yates, C. F.; Huang, J. Y.; Protti, D. A., Tonic Endocannabinoid Levels Modulate Retinal Signaling. Int J Environ Res Public Health 2022, 19. [CrossRef]
  137. Matsuda, S.; Kanemitsu, N.; Nakamura, A.; Mimura, Y.; Ueda, N.; Kurahashi, Y.; Yamamoto, S., Metabolism of anandamide, an endogenous cannabinoid receptor ligand, in porcine ocular tissues. Exp Eye Res 1997, 64, 707-11. [CrossRef]
  138. Begbie, J.; Doherty, P.; Graham, A., Cannabinoid receptor, CB1, expression follows neuronal differentiation in the early chick embryo. Journal of Anatomy 2004, 205, 213-218. [CrossRef]
  139. Leonelli, M.; Britto, L. R. G.; Chaves, G. P.; Torrão, A. S., Developmental expression of cannabinoid receptors in the chick retinotectal system. Developmental Brain Research 2005, 156, 176-182. [CrossRef]
  140. Hu, S. S.; Arnold, A.; Hutchens, J. M.; Radicke, J.; Cravatt, B. F.; Wager-Miller, J.; Mackie, K.; Straiker, A., Architecture of cannabinoid signaling in mouse retina. The Journal of comparative neurology 2010, 518, 3848-66. [CrossRef]
  141. Felder, C. C.; Glass, M., Cannabinoid receptors and their endogenous agonists. Annual review of pharmacology and toxicology 1998, 38, 179-200. [CrossRef]
  142. Warrier, A.; Wilson, M., Endocannabinoid signaling regulates spontaneous transmitter release from embryonic retinal amacrine cells. Visual neuroscience 2007, 24, 25-35. [CrossRef]
  143. Chaves, G. P.; Nogueira, T. C. A.; Britto, L. R. G.; Bordin, S.; Torrão, A. S., Retinal removal up-regulates cannabinoid CB1 receptors in the chick optic tectum. Journal of Neuroscience Research 2008, 86, 1626-1634. [CrossRef]
  144. Araújo, D. S. M.; Miya-Coreixas, V. S.; Pandolfo, P.; Calaza, K. C., Cannabinoid receptors and TRPA1 on neuroprotection in a model of retinal ischemia. Experimental Eye Research 2017, 154, 116-125. [CrossRef]
  145. Faria, R. X.; Freitas, H. R.; Reis, R. A. M., P2X7 receptor large pore signaling in avian Müller glial cells. J Bioenerg Biomembr 2017, 49, 215-229. [CrossRef]
  146. Faria, R. X.; Reis, R. A.; Ferreira, L. G.; Cezar-de-Mello, P. F.; Moraes, M. O., P2X7R large pore is partially blocked by pore forming proteins antagonists in astrocytes. J Bioenerg Biomembr 2016, 48, 309-24. [CrossRef]
  147. Zhao, Y.-F.; Tang, Y.; Illes, P., Astrocytic and Oligodendrocytic P2X7 Receptors Determine Neuronal Functions in the CNS. Frontiers in Molecular Neuroscience 2021, 14. [CrossRef]
  148. Freitas, H. R.; Reis, R. A. M.; Ventura, A. L. M.; Franca, G. R., Interaction between cannabinoid and nucleotide systems as a new mechanism of signaling in retinal cell death. Neural Regen Res 2019, 14, 2093-2094. [CrossRef]
  149. De Melo Reis, R. A.; Schitine, C. S.; Köfalvi, A.; Grade, S.; Cortes, L.; Gardino, P. F.; Malva, J. O.; de Mello, F. G., Functional identification of cell phenotypes differentiating from mice retinal neurospheres using single cell calcium imaging. Cell Mol Neurobiol 2011, 31, 835-46. [CrossRef]
  150. Campbell, W. A.; Blum, S.; Reske, A.; Hoang, T.; Blackshaw, S.; Fischer, A. J., Cannabinoid signaling promotes the de-differentiation and proliferation of Müller glia-derived progenitor cells. Glia 2021, 69, 2503-2521. [CrossRef]
  151. Cosens, D. J.; Manning, A., Abnormal electroretinogram from a Drosophila mutant. Nature 1969, 224, 285-7. [CrossRef]
  152. Gees, M.; Owsianik, G.; Nilius, B.; Voets, T., TRP channels. Compr Physiol 2012, 2, 563-608. [CrossRef]
  153. Zhao, Y.; McVeigh, B. M.; Moiseenkova-Bell, V. Y., Structural Pharmacology of TRP Channels. J Mol Biol 2021, 433, 166914. [CrossRef]
  154. Bisogno, T.; Delton-Vandenbroucke, I.; Milone, A.; Lagarde, M.; Di Marzo, V., Biosynthesis and inactivation of N-arachidonoylethanolamine (anandamide) and N-docosahexaenoylethanolamine in bovine retina. Arch Biochem Biophys 1999, 370, 300-7. [CrossRef]
  155. Bazan, N. G., Metabolism of arachidonic acid in the retina and retinal pigment epithelium: biological effects of oxygenated metabolites of arachidonic acid. Prog Clin Biol Res 1989, 312, 15-37.
  156. Sawamura, S.; Shirakawa, H.; Nakagawa, T.; Mori, Y.; Kaneko, S., Frontiers in Neuroscience TRP Channels in the Brain: What Are They There For? In Neurobiology of TRP Channels, Emir, T. L. R., Ed. CRC Press/Taylor & Francis © 2018 by Taylor & Francis Group, LLC.: Boca Raton (FL), 2017; pp 295-322. [CrossRef]
  157. Thébault, S., Minireview: Insights into the role of TRP channels in the retinal circulation and function. Neuroscience letters 2021, 765, 136285. [CrossRef]
  158. Gilliam, J. C.; Wensel, T. G., TRP channel gene expression in the mouse retina. Vision Res 2011, 51, (23-24), 2440-52. [CrossRef]
  159. Rychkov, G.; Barritt, G. J., TRPC1 Ca(2+)-permeable channels in animal cells. Handb Exp Pharmacol 2007, 23-52. [CrossRef]
  160. Lakk, M.; Young, D.; Baumann, J. M.; Jo, A. O.; Hu, H.; Križaj, D., Polymodal TRPV1 and TRPV4 Sensors Colocalize but Do Not Functionally Interact in a Subpopulation of Mouse Retinal Ganglion Cells. Frontiers in cellular neuroscience 2018, 12, 353. [CrossRef]
  161. Molnar, T.; Barabas, P.; Birnbaumer, L.; Punzo, C.; Kefalov, V.; Križaj, D., Store-operated channels regulate intracellular calcium in mammalian rods. The Journal of physiology 2012, 590, 3465-81. [CrossRef]
  162. Tóth, A.; Czikora, A.; Pásztor, E. T.; Dienes, B.; Bai, P.; Csernoch, L.; Rutkai, I.; Csató, V.; Mányiné, I. S.; Pórszász, R.; Edes, I.; Papp, Z.; Boczán, J., Vanilloid receptor-1 (TRPV1) expression and function in the vasculature of the rat. J Histochem Cytochem 2014, 62, 129-44. [CrossRef]
  163. Crousillac, S.; LeRouge, M.; Rankin, M.; Gleason, E., Immunolocalization of TRPC channel subunits 1 and 4 in the chicken retina. Vis Neurosci 2003, 20, 453-63. [CrossRef]
  164. Da Silva, N.; Herron, C. E.; Stevens, K.; Jollimore, C. A.; Barnes, S.; Kelly, M. E., Metabotropic receptor-activated calcium increases and store-operated calcium influx in mouse Müller cells. Invest Ophthalmol Vis Sci 2008, 49, 3065-73. [CrossRef]
  165. Witkovsky, P.; Gábriel, R.; Krizaj, D., Anatomical and neurochemical characterization of dopaminergic interplexiform processes in mouse and rat retinas. The Journal of comparative neurology 2008, 510, 158-74. [CrossRef]
  166. Maddox, J. W.; Khorsandi, N.; Gleason, E., TRPC5 is required for the NO-dependent increase in dendritic Ca(2+) and GABA release from chick retinal amacrine cells. Journal of neurophysiology 2018, 119, 262-273. [CrossRef]
  167. Morgans, C. W.; Zhang, J.; Jeffrey, B. G.; Nelson, S. M.; Burke, N. S.; Duvoisin, R. M.; Brown, R. L., TRPM1 is required for the depolarizing light response in retinal ON-bipolar cells. Proceedings of the National Academy of Sciences of the United States of America 2009, 106, 19174-8. [CrossRef]
  168. Hasan, N.; Pangeni, G.; Cobb, C. A.; Ray, T. A.; Nettesheim, E. R.; Ertel, K. J.; Lipinski, D. M.; McCall, M. A.; Gregg, R. G., Presynaptic Expression of LRIT3 Transsynaptically Organizes the Postsynaptic Glutamate Signaling Complex Containing TRPM1. Cell reports 2019, 27, 3107-3116.e3. [CrossRef]
  169. Anastassov, I. A.; Wang, W.; Dunn, F. A., Synaptogenesis and synaptic protein localization in the postnatal development of rod bipolar cell dendrites in mouse retina. The Journal of comparative neurology 2019, 527, 52-66. [CrossRef]
  170. Kozuka, T.; Chaya, T.; Tamalu, F.; Shimada, M.; Fujimaki-Aoba, K.; Kuwahara, R.; Watanabe, S. I.; Furukawa, T., The TRPM1 Channel Is Required for Development of the Rod ON Bipolar Cell-AII Amacrine Cell Pathway in the Retinal Circuit. The Journal of neuroscience : the official journal of the Society for Neuroscience 2017, 37, 9889-9900. [CrossRef]
  171. Takeuchi, H.; Horie, S.; Moritoh, S.; Matsushima, H.; Hori, T.; Kimori, Y.; Kitano, K.; Tsubo, Y.; Tachibana, M.; Koike, C., Different Activity Patterns in Retinal Ganglion Cells of TRPM1 and mGluR6 Knockout Mice. BioMed research international 2018, 2018, 2963232. [CrossRef]
  172. Meléndez García, R.; Arredondo Zamarripa, D.; Arnold, E.; Ruiz-Herrera, X.; Noguez Imm, R.; Baeza Cruz, G.; Adán, N.; Binart, N.; Riesgo-Escovar, J.; Goffin, V.; Ordaz, B.; Peña-Ortega, F.; Martínez-Torres, A.; Clapp, C.; Thebault, S., Prolactin protects retinal pigment epithelium by inhibiting sirtuin 2-dependent cell death. EBioMedicine 2016, 7, 35-49. [CrossRef]
  173. Malko, P.; Syed Mortadza, S. A.; McWilliam, J.; Jiang, L. H., TRPM2 Channel in Microglia as a New Player in Neuroinflammation Associated With a Spectrum of Central Nervous System Pathologies. Frontiers in pharmacology 2019, 10, 239. [CrossRef]
  174. Webster, C. M.; Tworig, J.; Caval-Holme, F.; Morgans, C. W.; Feller, M. B., The Impact of Steroid Activation of TRPM3 on Spontaneous Activity in the Developing Retina. eNeuro 2020, 7. [CrossRef]
  175. McGahon, M. K.; Fernández, J. A.; Dash, D. P.; McKee, J.; Simpson, D. A.; Zholos, A. V.; McGeown, J. G.; Curtis, T. M., TRPV2 Channels Contribute to Stretch-Activated Cation Currents and Myogenic Constriction in Retinal Arterioles. Investigative ophthalmology & visual science 2016, 57, 5637-5647. [CrossRef]
  176. Souza Monteiro de Araújo, D.; De Logu, F.; Adembri, C.; Rizzo, S.; Janal, M. N.; Landini, L.; Magi, A.; Mattei, G.; Cini, N.; Pandolfo, P.; Geppetti, P.; Nassini, R.; Calaza, K. D. C., TRPA1 mediates damage of the retina induced by ischemia and reperfusion in mice. Cell Death Dis 2020, 11, 633. [CrossRef]
  177. Davis, J. B.; Gray, J.; Gunthorpe, M. J.; Hatcher, J. P.; Davey, P. T.; Overend, P.; Harries, M. H.; Latcham, J.; Clapham, C.; Atkinson, K.; Hughes, S. A.; Rance, K.; Grau, E.; Harper, A. J.; Pugh, P. L.; Rogers, D. C.; Bingham, S.; Randall, A.; Sheardown, S. A., Vanilloid receptor-1 is essential for inflammatory thermal hyperalgesia. Nature 2000, 405, 183-7. [CrossRef]
  178. Dhaka, A.; Uzzell, V.; Dubin, A. E.; Mathur, J.; Petrus, M.; Bandell, M.; Patapoutian, A., TRPV1 is activated by both acidic and basic pH. The Journal of neuroscience : the official journal of the Society for Neuroscience 2009, 29, 153-158. [CrossRef]
  179. Clapham, D. E., TRP channels as cellular sensors. Nature 2003, 426, 517-524. [CrossRef]
  180. Di Marzo, V., Endocannabinoids: synthesis and degradation. Rev Physiol Biochem Pharmacol 2008, 160, 1-24. [CrossRef]
  181. Benítez-Angeles, M.; Morales-Lázaro, S. L.; Juárez-González, E.; Rosenbaum, T., TRPV1: Structure, Endogenous Agonists, and Mechanisms. International journal of molecular sciences 2020, 21. [CrossRef]
  182. Jo, A. O.; Ryskamp, D. A.; Phuong, T. T.; Verkman, A. S.; Yarishkin, O.; MacAulay, N.; Križaj, D., TRPV4 and AQP4 Channels Synergistically Regulate Cell Volume and Calcium Homeostasis in Retinal Müller Glia. The Journal of neuroscience : the official journal of the Society for Neuroscience 2015, 35, 13525-13537. [CrossRef]
  183. Ryskamp, D. A.; Redmon, S.; Jo, A. O.; Križaj, D., TRPV1 and Endocannabinoids: Emerging Molecular Signals that Modulate Mammalian Vision. Cells 2014, 3, 914-938. [CrossRef]
  184. Sappington, R. M.; Calkins, D. J., Contribution of TRPV1 to microglia-derived IL-6 and NFkappaB translocation with elevated hydrostatic pressure. Invest Ophthalmol Vis Sci 2008, 49, 3004-3017. [CrossRef]
  185. Sappington, R. M.; Sidorova, T.; Long, D. J.; Calkins, D. J., TRPV1: contribution to retinal ganglion cell apoptosis and increased intracellular Ca2+ with exposure to hydrostatic pressure. Invest Ophthalmol Vis Sci 2009, 50, 717-728. [CrossRef]
  186. Yazulla, S., Endocannabinoids in the retina: from marijuana to neuroprotection. Prog Retin Eye Res 2008, 27, 501-526. [CrossRef]
  187. Leonelli, M.; Martins, D. O.; Kihara, A. H.; Britto, L. R., Ontogenetic expression of the vanilloid receptors TRPV1 and TRPV2 in the rat retina. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2009, 27, 709-718. [CrossRef]
  188. Shen, Y.; Heimel, J. A.; Kamermans, M.; Peachey, N. S.; Gregg, R. G.; Nawy, S., A transient receptor potential-like channel mediates synaptic transmission in rod bipolar cells. The Journal of neuroscience : the official journal of the Society for Neuroscience 2009, 29, 6088-6093. [CrossRef]
  189. Glaser, S. T.; Deutsch, D. G.; Studholme, K. M.; Zimov, S.; Yazulla, S., Endocannabinoids in the intact retina: 3 H-anandamide uptake, fatty acid amide hydrolase immunoreactivity and hydrolysis of anandamide. Visual neuroscience 2005, 22, 693-705. [CrossRef]
  190. Bisogno, T.; Hanus, L.; De Petrocellis, L.; Tchilibon, S.; Ponde, D. E.; Brandi, I.; Moriello, A. S.; Davis, J. B.; Mechoulam, R.; Di Marzo, V., Molecular targets for cannabidiol and its synthetic analogues: effect on vanilloid VR1 receptors and on the cellular uptake and enzymatic hydrolysis of anandamide. Br J Pharmacol 2001, 134, 845-852. [CrossRef]
  191. Anand, U.; Jones, B.; Korchev, Y.; Bloom, S. R.; Pacchetti, B.; Anand, P.; Sodergren, M. H., CBD Effects on TRPV1 Signaling Pathways in Cultured DRG Neurons. J Pain Res 2020, 13, 2269-2278. [CrossRef]
  192. de Almeida, D. L.; Devi, L. A., Diversity of molecular targets and signaling pathways for CBD. Pharmacol Res Perspect 2020, 8, e00682. [CrossRef]
  193. Yazulla, S.; Studholme, K. M., Vanilloid receptor like 1 (VRL1) immunoreactivity in mammalian retina: colocalization with somatostatin and purinergic P2X1 receptors. The Journal of comparative neurology 2004, 474, 407-18. [CrossRef]
  194. Thermos, K., Functional mapping of somatostatin receptors in the retina: a review. Vision Res 2003, 43, 1805-15. [CrossRef]
  195. Snyder, S. H., Adenosine as a neuromodulator. Annual review of neuroscience 1985, 8, 103-24. [CrossRef]
  196. Fredholm, B. B.; Chen, J. F.; Cunha, R. A.; Svenningsson, P.; Vaugeois, J. M., Adenosine and brain function. Int Rev Neurobiol 2005, 63, 191-270. [CrossRef]
  197. Blazynski, C.; Perez, M. T., Adenosine in vertebrate retina: localization, receptor characterization, and function. Cell Mol Neurobiol 1991, 11, 463-484. [CrossRef]
  198. Shewan, D.; Dwivedy, A.; Anderson, R.; Holt, C. E., Age-related changes underlie switch in netrin-1 responsiveness as growth cones advance along visual pathway. Nature neuroscience 2002, 5, 955-962. [CrossRef]
  199. Zhang, M.; Budak, M. T.; Lu, W.; Khurana, T. S.; Zhang, X.; Laties, A. M.; Mitchell, C. H., Identification of the A3 adenosine receptor in rat retinal ganglion cells. Mol Vis 2006, 12, 937-948.
  200. Portugal, C. C.; da Encarnação, T. G.; Sagrillo, M. A.; Pereira, M. R.; Relvas, J. B.; Socodato, R.; Paes-de-Carvalho, R., Activation of adenosine A3 receptors regulates vitamin C transport and redox balance in neurons. Free Radic Biol Med 2021, 163, 43-55. [CrossRef]
  201. Duarte-Silva, A. T.; Ximenes, L. G. R.; Guimarães-Souza, M.; Domith, I.; Paes-de-Carvalho, R., Chemical signaling in the developing avian retina: Focus on cyclic AMP and AKT-dependent pathways. Front Cell Dev Biol 2022, 10, 1058925. [CrossRef]
  202. Paes de Carvalho, R., Development of A1 adenosine receptors in the chick embryo retina. J Neurosci Res 1990, 25, 236-42. [CrossRef]
  203. Paes de Carvalho, R.; de Mello, F. G., Adenosine-elicited accumulation of adenosine 3', 5'-cyclic monophosphate in the chick embryo retina. Journal of neurochemistry 1982, 38, 493-500. [CrossRef]
  204. de Carvalho, R. P.; Braas, K. M.; Adler, R.; Snyder, S. H., Developmental regulation of adenosine A1 receptors, uptake sites and endogenous adenosine in the chick retina. Brain Res Dev Brain Res 1992, 70, 87-95. [CrossRef]
  205. dos Santos-Rodrigues, A.; Ferreira, J. M.; Paes-de-Carvalho, R., Differential adenosine uptake in mixed neuronal/glial or purified glial cultures of avian retinal cells: modulation by adenosine metabolism and the ERK cascade. Biochem Biophys Res Commun 2011, 414, 175-80. [CrossRef]
  206. Pereira, M. R.; Hang, V. R.; Vardiero, E.; de Mello, F. G.; Paes-de-Carvalho, R., Modulation of A1 adenosine receptor expression by cell aggregation and long-term activation of A2a receptors in cultures of avian retinal cells: involvement of the cyclic AMP/PKA pathway. Journal of neurochemistry 2010, 113, 661-73. [CrossRef]
  207. Paes-de-Carvalho, R.; Maia, G. A.; Ferreira, J. M., Adenosine regulates the survival of avian retinal neurons and photoreceptors in culture. Neurochem Res 2003, 28, 1583-90. [CrossRef]
  208. Ferreira, J. M.; Paes-de-Carvalho, R., Long-term activation of adenosine A(2a) receptors blocks glutamate excitotoxicity in cultures of avian retinal neurons. Brain Res 2001, 900, 169-176. [CrossRef]
  209. Socodato, R.; Brito, R.; Calaza, K. C.; Paes-de-Carvalho, R., Developmental regulation of neuronal survival by adenosine in the in vitro and in vivo avian retina depends on a shift of signaling pathways leading to CREB phosphorylation or dephosphorylation. Journal of neurochemistry 2011, 116, 227-239. [CrossRef]
  210. Paes de Carvalho, R.; Braas, K. M.; Snyder, S. H.; Adler, R., Analysis of adenosine immunoreactivity, uptake, and release in purified cultures of developing chick embryo retinal neurons and photoreceptors. Journal of neurochemistry 1990, 55, 1603-1611. [CrossRef]
  211. Paes-de-Carvalho, R.; Dias, B. V.; Martins, R. A.; Pereira, M. R.; Portugal, C. C.; Lanfredi, C., Activation of glutamate receptors promotes a calcium-dependent and transporter-mediated release of purines in cultured avian retinal cells: possible involvement of calcium/calmodulin-dependent protein kinase II. Neurochemistry international 2005, 46, 441-451. [CrossRef]
  212. Langer, I.; Jeandriens, J.; Couvineau, A.; Sanmukh, S.; Latek, D., Signal Transduction by VIP and PACAP Receptors. Biomedicines 2022, 10. [CrossRef]
  213. Hirabayashi, T.; Nakamachi, T.; Shioda, S., Discovery of PACAP and its receptors in the brain. J Headache Pain 2018, 19, 28. [CrossRef]
  214. May, V.; Parsons, R. L., G Protein-Coupled Receptor Endosomal Signaling and Regulation of Neuronal Excitability and Stress Responses: Signaling Options and Lessons From the PAC1 Receptor. J Cell Physiol 2017, 232, 698-706. [CrossRef]
  215. Onali, P.; Olianas, M. C., PACAP is a potent and highly effective stimulator of adenylyl cyclase activity in the retinas of different mammalian species. Brain Res 1994, 641, 132-134. [CrossRef]
  216. Denes, V.; Geck, P.; Mester, A.; Gabriel, R., Pituitary Adenylate Cyclase-Activating Polypeptide: 30 Years in Research Spotlight and 600 Million Years in Service. J Clin Med 2019, 8. [CrossRef]
  217. Shioda, S.; Takenoya, F.; Wada, N.; Hirabayashi, T.; Seki, T.; Nakamachi, T., Pleiotropic and retinoprotective functions of PACAP. Anat Sci Int 2016, 91, 313-324. [CrossRef]
  218. Njaine, B.; Martins, R. A.; Santiago, M. F.; Linden, R.; Silveira, M. S., Pituitary adenylyl cyclase-activating polypeptide controls the proliferation of retinal progenitor cells through downregulation of cyclin D1. The European journal of neuroscience 2010, 32, 311-321. [CrossRef]
  219. Njaine, B.; Rocha-Martins, M.; Vieira-Vieira, C. H.; De-Melo, L. D.; Linden, R.; Braas, K.; May, V.; Martins, R. A.; Silveira, M. S., Pleiotropic functions of pituitary adenylyl cyclase-activating polypeptide on retinal ontogenesis: involvement of KLF4 in the control of progenitor cell proliferation. J Mol Neurosci 2014, 54, 430-442. [CrossRef]
  220. Fleming, R. L.; Silveira, M. S.; Santos, L. E.; Henze, I. P.; Gardino, P. F.; de Mello, M. C.; de Mello, F. G., Pituitary adenylyl cyclase-activating polypeptide receptor re-sensitization induces plastic changes in the dopaminergic phenotype in the mature avian retina. Journal of neurochemistry 2013, 124, 621-631. [CrossRef]
  221. Silveira, M. S.; Costa, M. R.; Bozza, M.; Linden, R., Pituitary adenylyl cyclase-activating polypeptide prevents induced cell death in retinal tissue through activation of cyclic AMP-dependent protein kinase. The Journal of biological chemistry 2002, 277, 16075-16080. [CrossRef]
  222. Denes, V.; Hideg, O.; Nyisztor, Z.; Lakk, M.; Godri, Z.; Berta, G.; Geck, P.; Gabriel, R., The Neuroprotective Peptide PACAP1-38 Contributes to Horizontal Cell Development in Postnatal Rat Retina. Invest Ophthalmol Vis Sci 2019, 60, 770-778. [CrossRef]
  223. Seki, T.; Itoh, H.; Nakamachi, T.; Endo, K.; Wada, Y.; Nakamura, K.; Shioda, S., Suppression of rat retinal ganglion cell death by PACAP following transient ischemia induced by high intraocular pressure. J Mol Neurosci 2011, 43, 30-34. [CrossRef]
  224. Danyadi, B.; Szabadfi, K.; Reglodi, D.; Mihalik, A.; Danyadi, T.; Kovacs, Z.; Batai, I.; Tamas, A.; Kiss, P.; Toth, G.; Gabriel, R., PACAP application improves functional outcome of chronic retinal ischemic injury in rats-evidence from electroretinographic measurements. J Mol Neurosci 2014, 54, 293-299. [CrossRef]
  225. Kvarik, T.; Mammel, B.; Reglodi, D.; Kovacs, K.; Werling, D.; Bede, B.; Vaczy, A.; Fabian, E.; Toth, G.; Kiss, P.; Tamas, A.; Ertl, T.; Gyarmati, J.; Atlasz, T., PACAP Is Protective in a Rat Model of Retinopathy of Prematurity. J Mol Neurosci 2016, 60, 179-185. [CrossRef]
  226. Kvarik, T.; Reglodi, D.; Werling, D.; Vaczy, A.; Kovari, P.; Szabo, E.; Kovacs, K.; Hashimoto, H.; Ertl, T.; Gyarmati, J.; Atlasz, T., The Protective Effects of Endogenous PACAP in Oxygen-Induced Retinopathy. J Mol Neurosci 2021, 71, 2546-2557. [CrossRef]
  227. Patko, E.; Szabo, E.; Vaczy, A.; Molitor, D.; Tari, E.; Li, L.; Csutak, A.; Toth, G.; Reglodi, D.; Atlasz, T., Protective Effects of Pituitary Adenylate-Cyclase-Activating Polypeptide on Retinal Vasculature and Molecular Responses in a Rat Model of Moderate Glaucoma. International journal of molecular sciences 2023, 24. [CrossRef]
  228. Atlasz, T.; Szabadfi, K.; Kiss, P.; Marton, Z.; Griecs, M.; Hamza, L.; Gaal, V.; Biro, Z.; Tamas, A.; Hild, G.; Nyitrai, M.; Toth, G.; Reglodi, D.; Gabriel, R., Effects of PACAP in UV-A radiation-induced retinal degeneration models in rats. J Mol Neurosci 2011, 43, 51-7. [CrossRef]
  229. Gábriel, R.; Pöstyéni, E.; Dénes, V., Neuroprotective Potential of Pituitary Adenylate Cyclase Activating Polypeptide in Retinal Degenerations of Metabolic Origin. Frontiers in neuroscience 2019, 13, 1031. [CrossRef]
  230. Wang, T.; Li, Y.; Guo, M.; Dong, X.; Liao, M.; Du, M.; Wang, X.; Yin, H.; Yan, H., Exosome-Mediated Delivery of the Neuroprotective Peptide PACAP38 Promotes Retinal Ganglion Cell Survival and Axon Regeneration in Rats With Traumatic Optic Neuropathy. Front Cell Dev Biol 2021, 9, 659783. [CrossRef]
  231. Van, C.; Condro, M. C.; Ko, H. H.; Hoang, A. Q.; Zhu, R.; Lov, K.; Ricaflanca, P. T.; Diep, A. L.; Nguyen, N. N. M.; Lipshutz, G. S.; MacKenzie-Graham, A.; Waschek, J. A., Targeted deletion of PAC1 receptors in retinal neurons enhances neuron loss and axonopathy in a model of multiple sclerosis and optic neuritis. Neurobiology of disease 2021, 160, 105524. [CrossRef]
  232. Goldstein, I. M.; Ostwald, P.; Roth, S., Nitric oxide: a review of its role in retinal function and disease. Vision Res 1996, 36, 2979-2994. [CrossRef]
  233. Toda, N.; Nakanishi-Toda, M., Nitric oxide: ocular blood flow, glaucoma, and diabetic retinopathy. Prog Retin Eye Res 2007, 26, 205-38. [CrossRef]
  234. Cossenza, M.; Socodato, R.; Portugal, C. C.; Domith, I. C.; Gladulich, L. F.; Encarnação, T. G.; Calaza, K. C.; Mendonça, H. R.; Campello-Costa, P.; Paes-de-Carvalho, R., Nitric oxide in the nervous system: biochemical, developmental, and neurobiological aspects. Vitamins and hormones 2014, 96, 79-125. [CrossRef]
  235. Cossenza, M.; Paes de Carvalho, R., L-arginine uptake and release by cultured avian retinal cells: differential cellular localization in relation to nitric oxide synthase. Journal of neurochemistry 2000, 74, 1885-1894. [CrossRef]
  236. Do, K. Q.; Grima, G.; Benz, B.; Salt, T. E., Glial-neuronal transfer of arginine and S-nitrosothiols in nitric oxide transmission. Ann N Y Acad Sci 2002, 962, 81-92. [CrossRef]
  237. Grima, G.; Benz, B.; Do, K. Q., Glutamate-induced release of the nitric oxide precursor, arginine, from glial cells. The European journal of neuroscience 1997, 9, 2248-2258. [CrossRef]
  238. Grima, G.; Benz, B.; Do, K. Q., Glial-derived arginine, the nitric oxide precursor, protects neurons from NMDA-induced excitotoxicity. The European journal of neuroscience 2001, 14, 1762-1770. [CrossRef]
  239. Bredt, D. S.; Ferris, C. D.; Snyder, S. H., Nitric oxide synthase regulatory sites. Phosphorylation by cyclic AMP-dependent protein kinase, protein kinase C, and calcium/calmodulin protein kinase; identification of flavin and calmodulin binding sites. The Journal of biological chemistry 1992, 267, 10976-10981. [CrossRef]
  240. Lamas, S.; Marsden, P. A.; Li, G. K.; Tempst, P.; Michel, T., Endothelial nitric oxide synthase: molecular cloning and characterization of a distinct constitutive enzyme isoform. Proceedings of the National Academy of Sciences of the United States of America 1992, 89, 6348-6352. [CrossRef]
  241. Cho, H. J.; Xie, Q. W.; Calaycay, J.; Mumford, R. A.; Swiderek, K. M.; Lee, T. D.; Nathan, C., Calmodulin is a subunit of nitric oxide synthase from macrophages. The Journal of experimental medicine 1992, 176, 599-604. [CrossRef]
  242. Garthwaite, J., Nitric oxide signalling in the nervous system. Seminars in Neuroscience 1993, 5, 171-180. [CrossRef]
  243. Garthwaite, J.; Boulton, C. L., Nitric oxide signaling in the central nervous system. Annual review of physiology 1995, 57, 683-706. [CrossRef]
  244. Garthwaite, J.; Charles, S. L.; Chess-Williams, R., Endothelium-derived relaxing factor release on activation of NMDA receptors suggests role as intercellular messenger in the brain. Nature 1988, 336, 385-388. [CrossRef]
  245. Garthwaite, J.; Garthwaite, G., Cellular origins of cyclic GMP responses to excitatory amino acid receptor agonists in rat cerebellum in vitro. Journal of neurochemistry 1987, 48, 29-39. [CrossRef]
  246. Brenman, J. E.; Bredt, D. S., Synaptic signaling by nitric oxide. Current opinion in neurobiology 1997, 7, 374-378. [CrossRef]
  247. Brenman, J. E.; Chao, D. S.; Gee, S. H.; McGee, A. W.; Craven, S. E.; Santillano, D. R.; Wu, Z.; Huang, F.; Xia, H.; Peters, M. F.; Froehner, S. C.; Bredt, D. S., Interaction of nitric oxide synthase with the postsynaptic density protein PSD-95 and alpha1-syntrophin mediated by PDZ domains. Cell 1996, 84, 757-767. [CrossRef]
  248. Dawson, T. M.; Bredt, D. S.; Fotuhi, M.; Hwang, P. M.; Snyder, S. H., Nitric oxide synthase and neuronal NADPH diaphorase are identical in brain and peripheral tissues. Proceedings of the National Academy of Sciences of the United States of America 1991, 88, 7797-7801. [CrossRef]
  249. Hope, B. T.; Michael, G. J.; Knigge, K. M.; Vincent, S. R., Neuronal NADPH Diaphorase is a Nitric Oxide Synthase. Proceedings of the National Academy of Sciences of the United States of America 1991, 88, 2811-2814. [CrossRef]
  250. Kurenny, D. E.; Moroz, L. L.; Turner, R. W.; Sharkey, K. A.; Barnes, S., Modulation of ion channels in rod photoreceptors by nitric oxide. Neuron 1994, 13, 315-324. [CrossRef]
  251. Yamamoto, R.; Bredt, D. S.; Snyder, S. H.; Stone, R. A., The localization of nitric oxide synthase in the rat eye and related cranial ganglia. Neuroscience 1993, 54, 189-200. [CrossRef]
  252. Vielma, A. H.; Retamal, M. A.; Schmachtenberg, O., Nitric oxide signaling in the retina: what have we learned in two decades? Brain Res 2012, 1430, 112-125. [CrossRef]
  253. Andrade da Costa, B. L.; Hokoç, J. N., Coexistence of GAD-65 and GAD-67 with tyrosine hydroxylase and nitric oxide synthase in amacrine and interplexiform cells of the primate, Cebus apella. Visual neuroscience 2003, 20, 153-163. [CrossRef]
  254. Vardi, N.; Auerbach, P., Specific cell types in cat retina express different forms of glutamic acid decarboxylase. The Journal of comparative neurology 1995, 351, 374-384. [CrossRef]
  255. Socodato, R.; Brito, R.; Portugal, C. C.; de Oliveira, N. A.; Calaza, K. C.; Paes-de-Carvalho, R., The nitric oxide-cGKII system relays death and survival signals during embryonic retinal development via AKT-induced CREB1 activation. Cell death and differentiation 2014, 21, 915-928. [CrossRef]
  256. Pang, J. J.; Gao, F.; Wu, S. M., Light responses and morphology of bNOS-immunoreactive neurons in the mouse retina. The Journal of comparative neurology 2010, 518, 2456-2474. [CrossRef]
  257. Blom, J.; Giove, T.; Deshpande, M.; Eldred, W. D., Characterization of nitric oxide signaling pathways in the mouse retina. The Journal of comparative neurology 2012, 520, 4204-4217. [CrossRef]
  258. Tekmen-Clark, M.; Gleason, E., Nitric oxide production and the expression of two nitric oxide synthases in the avian retina. Visual neuroscience 2013, 30, 91-103. [CrossRef]
  259. Djamgoz, M. B.; Sekaran, S.; Angotzi, A. R.; Haamedi, S.; Vallerga, S.; Hirano, J.; Yamada, M., Light-adaptive role of nitric oxide in the outer retina of lower vertebrates: a brief review. Philosophical transactions of the Royal Society of London. Series B, Biological sciences 2000, 355, 1199-1203. [CrossRef]
  260. Giove, T. J.; Deshpande, M. M.; Eldred, W. D., Identification of alternate transcripts of neuronal nitric oxide synthase in the mouse retina. J Neurosci Res 2009, 87, 3134-3142. [CrossRef]
  261. Shi, Q.; Teves, M. M.; Lillywhite, A.; Pagtalunan, E. B.; Stell, W. K., Light adaptation in the chick retina: Dopamine, nitric oxide, and gap-junction coupling modulate spatiotemporal contrast sensitivity. Exp Eye Res 2020, 195, 108026. [CrossRef]
  262. Sato, M.; Ohtsuka, T.; Stell, W. K., Endogenous nitric oxide enhances the light-response of cones during light-adaptation in the rat retina. Vision Res 2011, 51, 131-137. [CrossRef]
  263. DeVries, S. H.; Schwartz, E. A., Modulation of an electrical synapse between solitary pairs of catfish horizontal cells by dopamine and second messengers. The Journal of physiology 1989, 414, 351-375. [CrossRef]
  264. Mills, S. L.; Massey, S. C., Differential properties of two gap junctional pathways made by AII amacrine cells. Nature 1995, 377, 734-737. [CrossRef]
  265. Ding, J. D.; Weinberg, R. J., Distribution of soluble guanylyl cyclase in rat retina. The Journal of comparative neurology 2007, 500, 734-745. [CrossRef]
  266. Hirooka, K.; Kourennyi, D. E.; Barnes, S., Calcium channel activation facilitated by nitric oxide in retinal ganglion cells. Journal of neurophysiology 2000, 83, 198-206. [CrossRef]
  267. Wexler, E. M.; Stanton, P. K.; Nawy, S., Nitric oxide depresses GABAA receptor function via coactivation of cGMP-dependent kinase and phosphodiesterase. The Journal of neuroscience : the official journal of the Society for Neuroscience 1998, 18, 2342-9. [CrossRef]
  268. McMahon, D. G.; Ponomareva, L. V., Nitric oxide and cGMP modulate retinal glutamate receptors. Journal of neurophysiology 1996, 76, 2307-2315. [CrossRef]
  269. McMahon, D. G.; Schmidt, K. F., Horizontal cell glutamate receptor modulation by NO: mechanisms and functional implications for the first visual synapse. Visual neuroscience 1999, 16, 425-433. [CrossRef]
  270. Ientile, R.; Pedale, S.; Picciurro, V.; Macaione, V.; Fabiano, C.; Macaione, S., Nitric oxide mediates NMDA-evoked [3H]GABA release from chick retina cells. FEBS letters 1997, 417, 345-348. [CrossRef]
  271. Ientile, R.; Picciurro, V.; Pedale, S.; Nucci, C.; Malecka, B.; Nisticò, G.; Macaione, S., Nitric oxide enhances amino acid release from immature chick embryo retina. Neuroscience letters 1996, 219, 79-82. [CrossRef]
  272. Yu, D.; Eldred, W. D., Nitric oxide stimulates gamma-aminobutyric acid release and inhibits glycine release in retina. The Journal of comparative neurology 2005, 483, 278-291. [CrossRef]
  273. Tsukaguchi, H.; Tokui, T.; Mackenzie, B.; Berger, U. V.; Chen, X. Z.; Wang, Y.; Brubaker, R. F.; Hediger, M. A., A family of mammalian Na+-dependent L-ascorbic acid transporters. Nature 1999, 399, 70-75. [CrossRef]
  274. Portugal, C. C.; da Encarnação, T. G.; Socodato, R.; Moreira, S. R.; Brudzewsky, D.; Ambrósio, A. F.; Paes-de-Carvalho, R., Nitric oxide modulates sodium vitamin C transporter 2 (SVCT-2) protein expression via protein kinase G (PKG) and nuclear factor-κB (NF-κB). The Journal of biological chemistry 2012, 287, 3860-3872. [CrossRef]
  275. Portugal, C. C.; Miya, V. S.; Calaza Kda, C.; Santos, R. A.; Paes-de-Carvalho, R., Glutamate receptors modulate sodium-dependent and calcium-independent vitamin C bidirectional transport in cultured avian retinal cells. Journal of neurochemistry 2009, 108, 507-520. [CrossRef]
  276. Socodato, R. E.; Magalhaes, C. R.; Paes-de-Carvalho, R., Glutamate and nitric oxide modulate ERK and CREB phosphorylation in the avian retina: evidence for direct signaling from neurons to Muller glial cells. Journal of neurochemistry 2009, 108, 417-429. [CrossRef]
  277. Moriyama, S.; Hiasa, M., Expression of Vesicular Nucleotide Transporter in the Mouse Retina. Biol Pharm Bull 2016, 39, 564-569. [CrossRef]
  278. Xia, J.; Lim, J. C.; Lu, W.; Beckel, J. M.; Macarak, E. J.; Laties, A. M.; Mitchell, C. H., Neurons respond directly to mechanical deformation with pannexin-mediated ATP release and autostimulation of P2X7 receptors. The Journal of physiology 2012, 590, 2285-304. [CrossRef]
  279. Mitchell, C. H., Release of ATP by a human retinal pigment epithelial cell line: potential for autocrine stimulation through subretinal space. The Journal of physiology 2001, 534, (Pt 1), 193-202. [CrossRef]
  280. Santos, P. F.; Caramelo, O. L.; Carvalho, A. P.; Duarte, C. B., Characterization of ATP release from cultures enriched in cholinergic amacrine-like neurons. Journal of neurobiology 1999, 41, 340-348. [CrossRef]
  281. Newman, E. A., Calcium increases in retinal glial cells evoked by light-induced neuronal activity. The Journal of neuroscience : the official journal of the Society for Neuroscience 2005, 25, 5502-5510. [CrossRef]
  282. Uckermann, O.; Wolf, A.; Kutzera, F.; Kalisch, F.; Beck-Sickinger, A. G.; Wiedemann, P.; Reichenbach, A.; Bringmann, A., Glutamate release by neurons evokes a purinergic inhibitory mechanism of osmotic glial cell swelling in the rat retina: activation by neuropeptide Y. J Neurosci Res 2006, 83, 538-550. [CrossRef]
  283. Loiola, E. C.; Ventura, A. L., Release of ATP from avian Müller glia cells in culture. Neurochemistry international 2011, 58, 414-422. [CrossRef]
  284. Ventura, A. L. M.; Dos Santos-Rodrigues, A.; Mitchell, C. H.; Faillace, M. P., Purinergic signaling in the retina: From development to disease. Brain Res Bull 2019, 151, 92-108. [CrossRef]
  285. de Almeida-Pereira, L.; Magalhães, C. F.; Repossi, M. G.; Thorstenberg, M. L. P.; Sholl-Franco, A.; Coutinho-Silva, R.; Ventura, A. L. M.; Fragel-Madeira, L., Adenine Nucleotides Control Proliferation In Vivo of Rat Retinal Progenitors by P2Y(1) Receptor. Molecular neurobiology 2017, 54, 5142-5155. [CrossRef]
  286. Jacques, F. J.; Silva, T. M.; da Silva, F. E.; Ornelas, I. M.; Ventura, A. L. M., Nucleotide P2Y13-stimulated phosphorylation of CREB is required for ADP-induced proliferation of late developing retinal glial progenitors in culture. Cell Signal 2017, 35, 95-106. [CrossRef]
  287. Sugioka, M.; Fukuda, Y.; Yamashita, M., Ca2+ responses to ATP via purinoceptors in the early embryonic chick retina. The Journal of physiology 1996, 493 ( Pt 3), (Pt 3), 855-63. [CrossRef]
  288. Pearson, R.; Catsicas, M.; Becker, D.; Mobbs, P., Purinergic and muscarinic modulation of the cell cycle and calcium signaling in the chick retinal ventricular zone. The Journal of neuroscience : the official journal of the Society for Neuroscience 2002, 22, 7569-7579. [CrossRef]
  289. Pearson, R. A.; Catsicas, M.; Becker, D. L.; Bayley, P.; Lüneborg, N. L.; Mobbs, P., Ca(2+) signalling and gap junction coupling within and between pigment epithelium and neural retina in the developing chick. The European journal of neuroscience 2004, 19, 2435-2445. [CrossRef]
  290. Sanches, G.; de Alencar, L. S.; Ventura, A. L., ATP induces proliferation of retinal cells in culture via activation of PKC and extracellular signal-regulated kinase cascade. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2002, 20, 21-27. [CrossRef]
  291. França, G. R.; Freitas, R. C.; Ventura, A. L., ATP-induced proliferation of developing retinal cells: regulation by factors released from postmitotic cells in culture. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2007, 25, 283-291. [CrossRef]
  292. Sholl-Franco, A.; Fragel-Madeira, L.; Macama Ada, C.; Linden, R.; Ventura, A. L., ATP controls cell cycle and induces proliferation in the mouse developing retina. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2010, 28, 63-73. [CrossRef]
  293. Nunes, P. H.; Calaza Kda, C.; Albuquerque, L. M.; Fragel-Madeira, L.; Sholl-Franco, A.; Ventura, A. L., Signal transduction pathways associated with ATP-induced proliferation of cell progenitors in the intact embryonic retina. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2007, 25, 499-508. [CrossRef]
  294. Sugioka, M.; Zhou, W. L.; Hofmann, H. D.; Yamashita, M., Ca2+ mobilization and capacitative Ca2+ entry regulate DNA synthesis in cultured chick retinal neuroepithelial cells. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 1999, 17, 163-172. [CrossRef]
  295. Sugioka, M.; Zhou, W. L.; Hofmann, H. D.; Yamashita, M., Involvement of P2 purinoceptors in the regulation of DNA synthesis in the neural retina of chick embryo. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 1999, 17, 135-144. [CrossRef]
  296. Yamashita, M., From neuroepithelial cells to neurons: changes in the physiological properties of neuroepithelial stem cells. Arch Biochem Biophys 2013, 534, (1-2), 64-70. [CrossRef]
  297. Ornelas, I. M.; Ventura, A. L., Involvement of the PI3K/AKT pathway in ATP-induced proliferation of developing retinal cells in culture. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience 2010, 28, 503-511. [CrossRef]
  298. Moll, V.; Weick, M.; Milenkovic, I.; Kodal, H.; Reichenbach, A.; Bringmann, A., P2Y receptor-mediated stimulation of Müller glial DNA synthesis. Investigative ophthalmology & visual science 2002, 43, 766-773.
  299. Milenkovic, I.; Weick, M.; Wiedemann, P.; Reichenbach, A.; Bringmann, A., P2Y receptor-mediated stimulation of Müller glial cell DNA synthesis: dependence on EGF and PDGF receptor transactivation. Investigative ophthalmology & visual science 2003, 44, 1211-1220. [CrossRef]
  300. Ornelas, I. M.; Silva, T. M.; Fragel-Madeira, L.; Ventura, A. L., Inhibition of PI3K/Akt pathway impairs G2/M transition of cell cycle in late developing progenitors of the avian embryo retina. PLoS One 2013, 8, e53517. [CrossRef]
  301. Massé, K.; Bhamra, S.; Eason, R.; Dale, N.; Jones, E. A., Purine-mediated signalling triggers eye development. Nature 2007, 449, 1058-1062. [CrossRef]
  302. Gampe, K.; Haverkamp, S.; Robson, S. C.; Gachet, C.; Hüser, L.; Acker-Palmer, A.; Zimmermann, H., NTPDase2 and the P2Y1 receptor are not required for mammalian eye formation. Purinergic signalling 2015, 11, 155-60. [CrossRef]
  303. Lewis, G. P.; Chapin, E. A.; Luna, G.; Linberg, K. A.; Fisher, S. K., The fate of Müller's glia following experimental retinal detachment: nuclear migration, cell division, and subretinal glial scar formation. Mol Vis 2010, 16, 1361-1372.
  304. Reichenbach, A.; Bringmann, A., Role of Purines in Müller Glia. J Ocul Pharmacol Ther 2016, 32, 518-533. [CrossRef]
  305. Silva, T. M.; França, G. R.; Ornelas, I. M.; Loiola, E. C.; Ulrich, H.; Ventura, A. L., Involvement of nucleotides in glial growth following scratch injury in avian retinal cell monolayer cultures. Purinergic Signal 2015, 11, 183-201. [CrossRef]
  306. Resta, V.; Novelli, E.; Vozzi, G.; Scarpa, C.; Caleo, M.; Ahluwalia, A.; Solini, A.; Santini, E.; Parisi, V.; Di Virgilio, F.; Galli-Resta, L., Acute retinal ganglion cell injury caused by intraocular pressure spikes is mediated by endogenous extracellular ATP. The European journal of neuroscience 2007, 25, 2741-2754. [CrossRef]
  307. Anccasi, R. M.; Ornelas, I. M.; Cossenza, M.; Persechini, P. M.; Ventura, A. L., ATP induces the death of developing avian retinal neurons in culture via activation of P2X7 and glutamate receptors. Purinergic Signal 2013, 9, 15-29. [CrossRef]
  308. Zhang, X.; Zhang, M.; Laties, A. M.; Mitchell, C. H., Stimulation of P2X7 receptors elevates Ca2+ and kills retinal ganglion cells. Invest Ophthalmol Vis Sci 2005, 46, 2183-2191. [CrossRef]
  309. Hu, H.; Lu, W.; Zhang, M.; Zhang, X.; Argall, A. J.; Patel, S.; Lee, G. E.; Kim, Y. C.; Jacobson, K. A.; Laties, A. M.; Mitchell, C. H., Stimulation of the P2X7 receptor kills rat retinal ganglion cells in vivo. Exp Eye Res 2010, 91, 425-432. [CrossRef]
  310. Sugiyama, T.; Oku, H.; Shibata, M.; Fukuhara, M.; Yoshida, H.; Ikeda, T., Involvement of P2X7 receptors in the hypoxia-induced death of rat retinal neurons. Invest Ophthalmol Vis Sci 2010, 51, 3236-3243. [CrossRef]
  311. Niyadurupola, N.; Sidaway, P.; Ma, N.; Rhodes, J. D.; Broadway, D. C.; Sanderson, J., P2X7 receptor activation mediates retinal ganglion cell death in a human retina model of ischemic neurodegeneration. Investigative ophthalmology & visual science 2013, 54, 2163-2170. [CrossRef]
  312. Campagno, K. E.; Lu, W.; Jassim, A. H.; Albalawi, F.; Cenaj, A.; Tso, H. Y.; Clark, S. P.; Sripinun, P.; Gómez, N. M.; Mitchell, C. H., Rapid morphologic changes to microglial cells and upregulation of mixed microglial activation state markers induced by P2X7 receptor stimulation and increased intraocular pressure. Journal of neuroinflammation 2021, 18, 217. [CrossRef]
  313. Hu, X.; Zhao, G. L.; Xu, M. X.; Zhou, H.; Li, F.; Miao, Y.; Lei, B.; Yang, X. L.; Wang, Z., Interplay between Müller cells and microglia aggravates retinal inflammatory response in experimental glaucoma. Journal of neuroinflammation 2021, 18, 303. [CrossRef]
  314. Kakurai, K.; Sugiyama, T.; Kurimoto, T.; Oku, H.; Ikeda, T., Involvement of P2X(7) receptors in retinal ganglion cell death after optic nerve crush injury in rats. Neuroscience letters 2013, 534, 237-241. [CrossRef]
  315. Xue, B.; Xie, Y.; Xue, Y.; Hu, N.; Zhang, G.; Guan, H.; Ji, M., Involvement of P2X(7) receptors in retinal ganglion cell apoptosis induced by activated Müller cells. Exp Eye Res 2016, 153, 42-50. [CrossRef]
  316. Franke, H.; Klimke, K.; Brinckmann, U.; Grosche, J.; Francke, M.; Sperlagh, B.; Reichenbach, A.; Liebert, U. G.; Illes, P., P2X(7) receptor-mRNA and -protein in the mouse retina; changes during retinal degeneration in BALBCrds mice. Neurochem Int 2005, 47, 235-242. [CrossRef]
  317. Puthussery, T.; Fletcher, E., Extracellular ATP induces retinal photoreceptor apoptosis through activation of purinoceptors in rodents. The Journal of comparative neurology 2009, 513, 430-440. [CrossRef]
  318. Notomi, S.; Hisatomi, T.; Kanemaru, T.; Takeda, A.; Ikeda, Y.; Enaida, H.; Kroemer, G.; Ishibashi, T., Critical involvement of extracellular ATP acting on P2RX7 purinergic receptors in photoreceptor cell death. The American journal of pathology 2011, 179, 2798-2809. [CrossRef]
  319. Cao, M.; Huang, X.; Zou, J.; Peng, Y.; Wang, Y.; Zheng, X.; Tang, L.; Zhang, L., Attenuation of Microglial Activation and Pyroptosis by Inhibition of P2X7 Pathway Promotes Photoreceptor Survival in Experimental Retinal Detachment. Invest Ophthalmol Vis Sci 2023, 64, 34. [CrossRef]
  320. Rice, M. E.; Russo-Menna, I., Differential compartmentalization of brain ascorbate and glutathione between neurons and glia. Neuroscience 1998, 82, 1213-1223. [CrossRef]
  321. Raj Rai, S.; Bhattacharyya, C.; Sarkar, A.; Chakraborty, S.; Sircar, E.; Dutta, S.; Sengupta, R., Glutathione: Role in Oxidative/Nitrosative Stress, Antioxidant Defense, and Treatments. ChemistrySelect 2021, 6, 4566-4590. [CrossRef]
  322. Gu, F.; Chauhan, V.; Chauhan, A., Glutathione redox imbalance in brain disorders. Current Opinion in Clinical Nutrition & Metabolic Care 2015, 18. [CrossRef]
  323. Bjørklund, G.; Tinkov, A. A.; Hosnedlová, B.; Kizek, R.; Ajsuvakova, O. P.; Chirumbolo, S.; Skalnaya, M. G.; Peana, M.; Dadar, M.; El-Ansary, A.; Qasem, H.; Adams, J. B.; Aaseth, J.; Skalny, A. V., The role of glutathione redox imbalance in autism spectrum disorder: A review. Free Radical Biology and Medicine 2020, 160, 149-162. [CrossRef]
  324. Freitas, H. R.; Reis, R. A., Glutathione induces GABA release through P2X7R activation on Muller glia. Neurogenesis (Austin, Tex.) 2017, 4, e1283188. [CrossRef]
  325. Freitas, H. R.; Ferraz, G.; Ferreira, G. C.; Ribeiro-Resende, V. T.; Chiarini, L. B.; do Nascimento, J. L.; Matos Oliveira, K. R.; Pereira Tde, L.; Ferreira, L. G.; Kubrusly, R. C.; Faria, R. X.; Herculano, A. M.; Reis, R. A., Glutathione-Induced Calcium Shifts in Chick Retinal Glial Cells. PloS one 2016, 11, e0153677. [CrossRef]
  326. Pow, D. V.; Crook, D. K., Immunocytochemical evidence for the presence of high levels of reduced glutathione in radial glial cells and horizontal cells in the rabbit retina. Neuroscience letters 1995, 193, 25-28. [CrossRef]
  327. Schütte, M.; Werner, P., Redistribution of glutathione in the ischemic rat retina. Neuroscience letters 1998, 246, 53-56. [CrossRef]
  328. Castagné, V.; Clarke, P. G. H., Inhibition of glutathione synthesis can enhance cycloheximide-induced protection of developing neurons against axotomy. Developmental Brain Research 1997, 102, 285-290. [CrossRef]
  329. Castagné, V.; Clarke, P. G. H., Cooperation between glutathione depletion and protein synthesis inhibition against naturally occurring neuronal death. Neuroscience 1998, 86, 895-902. [CrossRef]
  330. Corpe, C. P.; Tu, H.; Eck, P.; Wang, J.; Faulhaber-Walter, R.; Schnermann, J.; Margolis, S.; Padayatty, S.; Sun, H.; Wang, Y.; Nussbaum, R. L.; Espey, M. G.; Levine, M., Vitamin C transporter Slc23a1 links renal reabsorption, vitamin C tissue accumulation, and perinatal survival in mice. The Journal of clinical investigation 2010, 120, 1069-1083. [CrossRef]
  331. Ferrada, L.; Magdalena, R.; Barahona, M. J.; Ramírez, E.; Sanzana, C.; Gutiérrez, J.; Nualart, F., Two Distinct Faces of Vitamin C: AA vs. DHA. Antioxidants (Basel) 2021, 10. [CrossRef]
  332. Padayatty, S. J.; Levine, M., Vitamin C: the known and the unknown and Goldilocks. Oral Dis 2016, 22, 463-493. [CrossRef]
  333. Diliberto, E. J., Jr.; Allen, P. L., Semidehydroascorbate as a product of the enzymic conversion of dopamine to norepinephrine. Coupling of semidehydroascorbate reductase to dopamine-beta-hydroxylase. Molecular pharmacology 1980, 17, 421-426.
  334. Qiu, S.; Li, L.; Weeber, E. J.; May, J. M., Ascorbate transport by primary cultured neurons and its role in neuronal function and protection against excitotoxicity. J Neurosci Res 2007, 85, 1046-1056. [CrossRef]
  335. Eldridge, C. F.; Bunge, M. B.; Bunge, R. P.; Wood, P. M., Differentiation of axon-related Schwann cells in vitro. I. Ascorbic acid regulates basal lamina assembly and myelin formation. The Journal of cell biology 1987, 105, 1023-1034. [CrossRef]
  336. Covarrubias-Pinto, A.; Acuña, A. I.; Beltrán, F. A.; Torres-Díaz, L.; Castro, M. A., Old Things New View: Ascorbic Acid Protects the Brain in Neurodegenerative Disorders. Int J Mol Sci 2015, 16, 28194-28217. [CrossRef]
  337. Kocot, J.; Luchowska-Kocot, D.; Kiełczykowska, M.; Musik, I.; Kurzepa, J., Does Vitamin C Influence Neurodegenerative Diseases and Psychiatric Disorders? Nutrients 2017, 9. [CrossRef]
  338. Moretti, M.; Fraga, D. B.; Rodrigues, A. L. S., Ascorbic Acid to Manage Psychiatric Disorders. CNS Drugs 2017, 31, 571-583. [CrossRef]
  339. Renner, O.; Burkard, M.; Michels, H.; Vollbracht, C.; Sinnberg, T.; Venturelli, S., Parenteral high-dose ascorbate - A possible approach for the treatment of glioblastoma (Review). Int J Oncol 2021, 58. [CrossRef]
  340. De Mello, F. G., The ontogeny of dopamine-dependent increase of adenosine 3',5'-cyclic monophosphate in the chick retina. Journal of neurochemistry 1978, 31, 1049-1053. [CrossRef]
  341. Majumdar, S., Role of glutamate in the development of visual pathways. Frontiers in Ophthalmology 2023, 3. [CrossRef]
  342. Domith, I.; Socodato, R.; Portugal, C. C.; Munis, A. F.; Duarte-Silva, A. T.; Paes-de-Carvalho, R., Vitamin C modulates glutamate transport and NMDA receptor function in the retina. Journal of neurochemistry 2018, 144, 408-420. [CrossRef]
  343. Telegina, D. V.; Antonenko, A. K.; Fursova, A. Z.; Kolosova, N. G., The glutamate/GABA system in the retina of male rats: effects of aging, neurodegeneration, and supplementation with melatonin and antioxidant SkQ1. Biogerontology 2022, 23, 571-585. [CrossRef]
  344. do Nascimento, J. L.; de Mello, F. G., Induced release of gamma-aminobutyric acid by a carrier-mediated, high-affinity uptake of L-glutamate in cultured chick retina cells. Journal of neurochemistry 1985, 45, 1820-1827. [CrossRef]
  345. Schitine, C. S.; de Mello, F. G.; Reis, R. A., Neurochemical plasticity of Müller cells after retinal injury: overexpression of GAT-3 may potentiate excitotoxicity. Neural Regen Res 2015, 10, 1376-1378. [CrossRef]
  346. de Almeida, O. M.; Gardino, P. F.; Loureiro dos Santos, N. E.; Yamasaki, E. N.; de Mello, M. C.; Hokoç, J. N.; de Mello, F. G., Opposite roles of GABA and excitatory amino acids on the control of GAD expression in cultured retina cells. Brain Res 2002, 925, 89-99. [CrossRef]
  347. Socodato, R.; Santiago, F. N.; Portugal, C. C.; Domith, I.; Encarnação, T. G.; Loiola, E. C.; Ventura, A. L.; Cossenza, M.; Relvas, J. B.; Castro, N. G.; Paes-de-Carvalho, R., Dopamine promotes NMDA receptor hypofunction in the retina through D(1) receptor-mediated Csk activation, Src inhibition and decrease of GluN2B phosphorylation. Scientific reports 2017, 7, 40912. [CrossRef]
  348. Lowry, W. E.; Huang, J.; Ma, Y. C.; Ali, S.; Wang, D.; Williams, D. M.; Okada, M.; Cole, P. A.; Huang, X. Y., Csk, a critical link of g protein signals to actin cytoskeletal reorganization. Dev Cell 2002, 2, 733-744. [CrossRef]
  349. Salter, M. W.; Kalia, L. V., Src kinases: a hub for NMDA receptor regulation. Nature reviews. Neuroscience 2004, 5, 317-328. [CrossRef]
  350. Batty, N. J.; Fenrich, K. K.; Fouad, K., The role of cAMP and its downstream targets in neurite growth in the adult nervous system. Neuroscience letters 2017, 652, 56-63. [CrossRef]
  351. Lankford, K.; De Mello, F. G.; Klein, W. L., A transient embryonic dopamine receptor inhibits growth cone motility and neurite outgrowth in a subset of avian retina neurons. Neuroscience letters 1987, 75, 169-174. [CrossRef]
  352. da Encarnação, T. G.; Portugal, C. C.; Nogueira, C. E.; Santiago, F. N.; Socodato, R.; Paes-de-Carvalho, R., Dopamine Promotes Ascorbate Release from Retinal Neurons: Role of D(1) Receptors and the Exchange Protein Directly Activated by cAMP type 2 (EPAC2). Mol Neurobiol 2018, 55, 7858-7871. [CrossRef]
  353. Portugal, C. C.; da Encarnacao, T. G.; Domith, I.; Dos Santos Rodrigues, A.; de Oliveira, N. A.; Socodato, R.; Paes-de-Carvalho, R., Dopamine-Induced Ascorbate Release From Retinal Neurons Involves Glutamate Release, Activation of AMPA/Kainate Receptors and Downstream Signaling Pathways. Frontiers in neuroscience 2019, 13, 453. [CrossRef]
  354. Paes-De-Carvalho, R., Adenosine as a signaling molecule in the retina: biochemical and developmental aspects. Anais da Academia Brasileira de Ciencias 2002, 74, 437-451. [CrossRef]
  355. Garthwaite, J., Glutamate, nitric oxide and cell-cell signalling in the nervous system. Trends in neurosciences 1991, 14, 60-67. [CrossRef]
  356. Sohocki, M. M.; Daiger, S. P.; Bowne, S. J.; Rodriquez, J. A.; Northrup, H.; Heckenlively, J. R.; Birch, D. G.; Mintz-Hittner, H.; Ruiz, R. S.; Lewis, R. A.; Saperstein, D. A.; Sullivan, L. S., Prevalence of mutations causing retinitis pigmentosa and other inherited retinopathies. Hum Mutat 2001, 17, 42-51. [CrossRef]
  357. Kumaran, N.; Michaelides, M.; Smith, A. J.; Ali, R. R.; Bainbridge, J. W. B., Retinal gene therapy. Br Med Bull 2018, 126, 13-25. [CrossRef]
  358. Carss, K. J.; Arno, G.; Erwood, M.; Stephens, J.; Sanchis-Juan, A.; Hull, S.; Megy, K.; Grozeva, D.; Dewhurst, E.; Malka, S.; Plagnol, V.; Penkett, C.; Stirrups, K.; Rizzo, R.; Wright, G.; Josifova, D.; Bitner-Glindzicz, M.; Scott, R. H.; Clement, E.; Allen, L.; Armstrong, R.; Brady, A. F.; Carmichael, J.; Chitre, M.; Henderson, R. H. H.; Hurst, J.; MacLaren, R. E.; Murphy, E.; Paterson, J.; Rosser, E.; Thompson, D. A.; Wakeling, E.; Ouwehand, W. H.; Michaelides, M.; Moore, A. T.; Webster, A. R.; Raymond, F. L., Comprehensive Rare Variant Analysis via Whole-Genome Sequencing to Determine the Molecular Pathology of Inherited Retinal Disease. American journal of human genetics 2017, 100, 75-90.
  359. Wong, W. L.; Su, X.; Li, X.; Cheung, C. M.; Klein, R.; Cheng, C. Y.; Wong, T. Y., Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health 2014, 2, e106-e116. [CrossRef]
  360. Fleckenstein, M.; Keenan, T. D. L.; Guymer, R. H.; Chakravarthy, U.; Schmitz-Valckenberg, S.; Klaver, C. C.; Wong, W. T.; Chew, E. Y., Age-related macular degeneration. Nat Rev Dis Primers 2021, 7, 31. [CrossRef]
  361. Saaddine, J. B.; Honeycutt, A. A.; Narayan, K. M.; Zhang, X.; Klein, R.; Boyle, J. P., Projection of diabetic retinopathy and other major eye diseases among people with diabetes mellitus: United States, 2005-2050. Arch Ophthalmol 2008, 126, 1740-1747. [CrossRef]
  362. Lucchesi, M.; Marracci, S.; Amato, R.; Filippi, L.; Cammalleri, M.; Dal Monte, M., Neurosensory Alterations in Retinopathy of Prematurity: A Window to Neurological Impairments Associated to Preterm Birth. Biomedicines 2022, 10. [CrossRef]
  363. Quigley, H. A., Understanding Glaucomatous Optic Neuropathy: The Synergy Between Clinical Observation and Investigation. Annu Rev Vis Sci 2016, 2, 235-254. [CrossRef]
  364. Amerasinghe, N.; Zhang, J.; Thalamuthu, A.; He, M.; Vithana, E. N.; Viswanathan, A.; Wong, T. Y.; Foster, P. J.; Aung, T., The heritability and sibling risk of angle closure in Asians. Ophthalmology 2011, 118, 480-485. [CrossRef]
  365. Nickells, R. W., Apoptosis of retinal ganglion cells in glaucoma: an update of the molecular pathways involved in cell death. Surv Ophthalmol 1999, 43 Suppl 1, S151-61. [CrossRef]
  366. Tham, Y. C.; Li, X.; Wong, T. Y.; Quigley, H. A.; Aung, T.; Cheng, C. Y., Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 2014, 121, 2081-2090. [CrossRef]
  367. Bravo Filho, V. T.; Ventura, R. U.; Brandt, C. T.; Sarteschi, C.; Ventura, M. C., [Visual impairment impact on the quality of life of the elderly population that uses the public health care system from the western countryside of Pernambuco State, Brazil]. Arq Bras Oftalmol 2012, 75, 161-165. [CrossRef]
  368. Allison, K.; Patel, D.; Alabi, O., Epidemiology of Glaucoma: The Past, Present, and Predictions for the Future. Cureus 2020, 12, e11686. [CrossRef]
  369. Lusthaus, J.; Goldberg, I., Current management of glaucoma. Med J Aust 2019, 210, 180-187. [CrossRef]
  370. Lo, J.; Mehta, K.; Dhillon, A.; Huang, Y. K.; Luo, Z.; Nam, M. H.; Al Diri, I.; Chang, K. C., Therapeutic strategies for glaucoma and optic neuropathies. Molecular aspects of medicine 2023, 94, 101219. [CrossRef]
  371. Killer, H. E.; Pircher, A., Normal tension glaucoma: review of current understanding and mechanisms of the pathogenesis. Eye 2018, 32, 924-930. [CrossRef]
  372. Souza Monteiro de Araújo, D.; De Logu, F.; Adembri, C.; Rizzo, S.; Janal, M. N.; Landini, L.; Magi, A.; Mattei, G.; Cini, N.; Pandolfo, P.; Geppetti, P.; Nassini, R.; Calaza, K. d. C., TRPA1 mediates damage of the retina induced by ischemia and reperfusion in mice. Cell Death & Disease 2020, 11, 633. [CrossRef]
  373. Heng, L. Z.; Comyn, O.; Peto, T.; Tadros, C.; Ng, E.; Sivaprasad, S.; Hykin, P. G., Diabetic retinopathy: pathogenesis, clinical grading, management and future developments. Diabetic medicine : a journal of the British Diabetic Association 2013, 30, 640-650. [CrossRef]
  374. Lechner, J.; O'Leary, O. E.; Stitt, A. W., The pathology associated with diabetic retinopathy. Vision Res 2017, 139, 7-14. [CrossRef]
  375. Wang, W.; Lo, A. C. Y., Diabetic Retinopathy: Pathophysiology and Treatments. International journal of molecular sciences 2018, 19. [CrossRef]
  376. Zheng, Y.; He, M.; Congdon, N., The worldwide epidemic of diabetic retinopathy. Indian J Ophthalmol 2012, 60, 428-31. [CrossRef]
  377. Ting, D. S.; Cheung, G. C.; Wong, T. Y., Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review. Clin Exp Ophthalmol 2016, 44, 260-277. [CrossRef]
  378. Leasher, J. L.; Bourne, R. R.; Flaxman, S. R.; Jonas, J. B.; Keeffe, J.; Naidoo, K.; Pesudovs, K.; Price, H.; White, R. A.; Wong, T. Y.; Resnikoff, S.; Taylor, H. R., Global Estimates on the Number of People Blind or Visually Impaired by Diabetic Retinopathy: A Meta-analysis From 1990 to 2010. Diabetes Care 2016, 39, 1643-9. [CrossRef]
  379. Barber, A. J.; Baccouche, B., Neurodegeneration in diabetic retinopathy: Potential for novel therapies. Vision research 2017, 139, 82-92. [CrossRef]
  380. Seki, M.; Tanaka, T.; Nawa, H.; Usui, T.; Fukuchi, T.; Ikeda, K.; Abe, H.; Takei, N., Involvement of brain-derived neurotrophic factor in early retinal neuropathy of streptozotocin-induced diabetes in rats: therapeutic potential of brain-derived neurotrophic factor for dopaminergic amacrine cells. Diabetes 2004, 53, 2412-2419. [CrossRef]
  381. Gastinger, M. J.; Singh, R. S.; Barber, A. J., Loss of cholinergic and dopaminergic amacrine cells in streptozotocin-diabetic rat and Ins2Akita-diabetic mouse retinas. Investigative ophthalmology & visual science 2006, 47, 3143-3150. [CrossRef]
  382. Miya-Coreixas, V. S.; Maggesissi Santos, R.; Carpi Santos, R.; Gardino, P. F.; Calaza, K., Regulation of GABA content by glucose in the chick retina. Exp Eye Res 2013, 115, 206-215. [CrossRef]
  383. Carpi-Santos, R.; Ferreira, M. J.; Pereira Netto, A. D.; Giestal-de-Araujo, E.; Ventura, A. L. M.; Cossenza, M.; Calaza, K. C., Early changes in system [Formula: see text] and glutathione in the retina of diabetic rats. Exp Eye Res 2016, 146, 35-42. [CrossRef]
  384. Carpi-Santos, R.; Calaza, K. C., Alterations in System x(c)(-) Expression in the Retina of Type 1 Diabetic Rats and the Role of Nrf2. Molecular neurobiology 2018, 55, 7941-7948. [CrossRef]
  385. Wong, T. Y.; Cheung, C. M.; Larsen, M.; Sharma, S.; Simó, R., Diabetic retinopathy. Nat Rev Dis Primers 2016, 2, 16012. [CrossRef]
  386. Barber, A. J.; Lieth, E.; Khin, S. A.; Antonetti, D. A.; Buchanan, A. G.; Gardner, T. W., Neural apoptosis in the retina during experimental and human diabetes. Early onset and effect of insulin. J Clin Invest 1998, 102, 783-791. [CrossRef]
  387. Mendonca, H. R.; Carpi-Santos, R.; da Costa Calaza, K.; Blanco Martinez, A. M., Neuroinflammation and oxidative stress act in concert to promote neurodegeneration in the diabetic retina and optic nerve: galectin-3 participation. Neural Regen Res 2020, 15, 625-635. [CrossRef]
  388. Carpineto, P.; Toto, L.; Aloia, R.; Ciciarelli, V.; Borrelli, E.; Vitacolonna, E.; Di Nicola, M.; Di Antonio, L.; Mastropasqua, R., Neuroretinal alterations in the early stages of diabetic retinopathy in patients with type 2 diabetes mellitus. Eye (Lond) 2016, 30, 673-9. [CrossRef]
  389. Zhao, X.; Wang, J.; Li, P.; Tang, L.; Bai, Y., Casein Kinase 2-Interacting Protein-1 Alleviates High Glucose-Reduced Autophagy, Oxidative Stress, and Apoptosis in Retinal Pigment Epithelial Cells via Activating the p62/KEAP1/NRF2 Signaling Pathway. J Ophthalmol 2021, 2021, 6694050. [CrossRef]
  390. Lopes de Faria, J. M.; Duarte, D. A.; Simó, R.; García-Ramirez, M.; Dátilo, M. N.; Pasqualetto, F. C.; Lopes de Faria, J. B., δ Opioid Receptor Agonism Preserves the Retinal Pigmented Epithelial Cell Tight Junctions and Ameliorates the Retinopathy in Experimental Diabetes. Invest Ophthalmol Vis Sci 2019, 60, 3842-3853. [CrossRef]
  391. Feng, L.; Liang, L.; Zhang, S.; Yang, J.; Yue, Y.; Zhang, X., HMGB1 downregulation in retinal pigment epithelial cells protects against diabetic retinopathy through the autophagy-lysosome pathway. Autophagy 2022, 18, 320-339. [CrossRef]
  392. Janani, R.; Anitha, R. E.; Perumal, M. K.; Divya, P.; Baskaran, V., Astaxanthin mediated regulation of VEGF through HIF1α and XBP1 signaling pathway: An insight from ARPE-19 cell and streptozotocin mediated diabetic rat model. Exp Eye Res 2021, 206, 108555. [CrossRef]
  393. Gao, L. M.; Fu, S.; Liu, F.; Wu, H. B.; Li, W. J., Astragalus Polysaccharide Regulates miR-182/Bcl-2 Axis to Relieve Metabolic Memory through Suppressing Mitochondrial Damage-Mediated Apoptosis in Retinal Pigment Epithelial Cells. Pharmacology 2021, 106, (9-10), 520-533. [CrossRef]
  394. Giacco, F.; Brownlee, M., Oxidative stress and diabetic complications. Circulation research 2010, 107, 1058-1070. [CrossRef]
  395. Kowluru, R. A.; Mishra, M., Oxidative stress, mitochondrial damage and diabetic retinopathy. Biochimica et biophysica acta 2015, 1852, 2474-83. [CrossRef]
  396. Rodríguez, M. L.; Pérez, S.; Mena-Mollá, S.; Desco, M. C.; Ortega Á, L., Oxidative Stress and Microvascular Alterations in Diabetic Retinopathy: Future Therapies. Oxidative medicine and cellular longevity 2019, 2019, 4940825. [CrossRef]
  397. Sun, F.; Sun, Y.; Zhu, J.; Wang, X.; Ji, C.; Zhang, J.; Chen, S.; Yu, Y.; Xu, W.; Qian, H., Mesenchymal stem cells-derived small extracellular vesicles alleviate diabetic retinopathy by delivering NEDD4. Stem cell research & therapy 2022, 13, 293. [CrossRef]
  398. Tang, X.; Li, X.; Zhang, D.; Han, W., Astragaloside-IV alleviates high glucose-induced ferroptosis in retinal pigment epithelial cells by disrupting the expression of miR-138-5p/Sirt1/Nrf2. Bioengineered 2022, 13, 8240-8254. [CrossRef]
  399. Li, R.; Ye, Z.; Yang, W.; Xu, Y. J.; Tan, C. P.; Liu, Y., Blueberry Anthocyanins from Commercial Products: Structure Identification and Potential for Diabetic Retinopathy Amelioration. Molecules 2022, 27. [CrossRef]
  400. D'Agata, V.; D'Amico, A. G.; Maugeri, G.; Bucolo, C.; Rossi, S.; Giunta, S., Carnosol attenuates high glucose damage in human retinal endothelial cells through regulation of ERK/Nrf2/HO-1 pathway. J Asian Nat Prod Res 2023, 25, 783-795. [CrossRef]
  401. Albert-Garay, J. S.; Riesgo-Escovar, J. R.; Salceda, R., High glucose concentrations induce oxidative stress by inhibiting Nrf2 expression in rat Müller retinal cells in vitro. Scientific reports 2022, 12, 1261. [CrossRef]
  402. Liu, X.; Liu, Y.; Chen, L.; Zhang, Z.; Cui, L.; Wei, T., Loss of pleckstrin homology domain and leucine-rich repeat protein phosphatase 2 has protective effects on high glucose-injured retinal ganglion cells via the effect on the Akt-GSK-3β-Nrf2 pathway. Inflamm Res 2023, 72, 373-385. [CrossRef]
  403. Fang, J.; Bai, W.; Yang, L., Astaxanthin inhibits oxidative stress and apoptosis in diabetic retinopathy. Acta Histochem 2023, 125, 152069. [CrossRef]
  404. Yang, X.; Li, D., Tricin attenuates diabetic retinopathy by inhibiting oxidative stress and angiogenesis through regulating Sestrin2/Nrf2 signaling. Hum Exp Toxicol 2023, 42, 9603271231171642. [CrossRef]
  405. Bannai, S.; Tateishi, N., Role of membrane transport in metabolism and function of glutathione in mammals. The Journal of membrane biology 1986, 89, 1-8. [CrossRef]
  406. Zhou, Z.; Li, H.; Bai, S.; Xu, Z.; Jiao, Y., Loss of serine/threonine protein kinase 25 in retinal ganglion cells ameliorates high glucose-elicited damage through regulation of the AKT-GSK-3β/Nrf2 pathway. Biochem Biophys Res Commun 2022, 600, 87-93. [CrossRef]
  407. Hayes, J. D.; Chowdhry, S.; Dinkova-Kostova, A. T.; Sutherland, C., Dual regulation of transcription factor Nrf2 by Keap1 and by the combined actions of β-TrCP and GSK-3. Biochemical Society transactions 2015, 43, 611-20. [CrossRef]
  408. Rojo, A. I.; Sagarra, M. R.; Cuadrado, A., GSK-3beta down-regulates the transcription factor Nrf2 after oxidant damage: relevance to exposure of neuronal cells to oxidative stress. Journal of neurochemistry 2008, 105, 192-202. [CrossRef]
  409. Rojo, A. I.; Rada, P.; Egea, J.; Rosa, A. O.; López, M. G.; Cuadrado, A., Functional interference between glycogen synthase kinase-3 beta and the transcription factor Nrf2 in protection against kainate-induced hippocampal cell death. Molecular and cellular neurosciences 2008, 39, 125-132. [CrossRef]
  410. Giacco, F.; Du, X.; Carratú, A.; Gerfen, G. J.; D'Apolito, M.; Giardino, I.; Rasola, A.; Marin, O.; Divakaruni, A. S.; Murphy, A. N.; Shah, M. S.; Brownlee, M., GLP-1 Cleavage Product Reverses Persistent ROS Generation After Transient Hyperglycemia by Disrupting an ROS-Generating Feedback Loop. Diabetes 2015, 64, 3273-3284. [CrossRef]
  411. Miller, W. P.; Toro, A. L.; Barber, A. J.; Dennis, M. D., REDD1 Activates a ROS-Generating Feedback Loop in the Retina of Diabetic Mice. Investigative ophthalmology & visual science 2019, 60, 2369-2379. [CrossRef]
  412. Miller, W. P.; Sunilkumar, S.; Giordano, J. F.; Toro, A. L.; Barber, A. J.; Dennis, M. D., The stress response protein REDD1 promotes diabetes-induced oxidative stress in the retina by Keap1-independent Nrf2 degradation. The Journal of biological chemistry 2020, 295, 7350-7361. [CrossRef]
  413. Schrufer, T. L.; Antonetti, D. A.; Sonenberg, N.; Kimball, S. R.; Gardner, T. W.; Jefferson, L. S., Ablation of 4E-BP1/2 prevents hyperglycemia-mediated induction of VEGF expression in the rodent retina and in Muller cells in culture. Diabetes 2010, 59, 2107-2116. [CrossRef]
  414. Dennis, M. D.; Kimball, S. R.; Fort, P. E.; Jefferson, L. S., Regulated in development and DNA damage 1 is necessary for hyperglycemia-induced vascular endothelial growth factor expression in the retina of diabetic rodents. The Journal of biological chemistry 2015, 290, 3865-74. [CrossRef]
  415. Hao, Y.; Gao, X., Diosgenin protects retinal pigment epithelial cells from inflammatory damage and oxidative stress induced by high glucose by activating AMPK/Nrf2/HO-1 pathway. Immun Inflamm Dis 2022, 10, e698. [CrossRef]
  416. Barouch, F. C.; Miyamoto, K.; Allport, J. R.; Fujita, K.; Bursell, S. E.; Aiello, L. P.; Luscinskas, F. W.; Adamis, A. P., Integrin-mediated neutrophil adhesion and retinal leukostasis in diabetes. Invest Ophthalmol Vis Sci 2000, 41, 1153-1158.
  417. Joussen, A. M.; Poulaki, V.; Le, M. L.; Koizumi, K.; Esser, C.; Janicki, H.; Schraermeyer, U.; Kociok, N.; Fauser, S.; Kirchhof, B.; Kern, T. S.; Adamis, A. P., A central role for inflammation in the pathogenesis of diabetic retinopathy. FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2004, 18, 1450-1452. [CrossRef]
  418. Kasza, M.; Meleg, J.; Vardai, J.; Nagy, B., Jr.; Szalai, E.; Damjanovich, J.; Csutak, A.; Ujhelyi, B.; Nagy, V., Plasma E-selectin levels can play a role in the development of diabetic retinopathy. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie 2017, 255, 25-30. [CrossRef]
  419. Miyamoto, K.; Khosrof, S.; Bursell, S. E.; Rohan, R.; Murata, T.; Clermont, A. C.; Aiello, L. P.; Ogura, Y.; Adamis, A. P., Prevention of leukostasis and vascular leakage in streptozotocin-induced diabetic retinopathy via intercellular adhesion molecule-1 inhibition. Proceedings of the National Academy of Sciences of the United States of America 1999, 96, 10836-10841. [CrossRef]
  420. Schröder, S.; Palinski, W.; Schmid-Schönbein, G. W., Activated monocytes and granulocytes, capillary nonperfusion, and neovascularization in diabetic retinopathy. The American journal of pathology 1991, 139, 81-100.
  421. Boss, J. D.; Singh, P. K.; Pandya, H. K.; Tosi, J.; Kim, C.; Tewari, A.; Juzych, M. S.; Abrams, G. W.; Kumar, A., Assessment of Neurotrophins and Inflammatory Mediators in Vitreous of Patients With Diabetic Retinopathy. Invest Ophthalmol Vis Sci 2017, 58, 5594-5603. [CrossRef]
  422. Koleva-Georgieva, D. N.; Sivkova, N. P.; Terzieva, D., Serum inflammatory cytokines IL-1beta, IL-6, TNF-alpha and VEGF have influence on the development of diabetic retinopathy. Folia Med (Plovdiv) 2011, 53, 44-50. [CrossRef]
  423. Rangasamy, S.; McGuire, P. G.; Franco Nitta, C.; Monickaraj, F.; Oruganti, S. R.; Das, A., Chemokine mediated monocyte trafficking into the retina: role of inflammation in alteration of the blood-retinal barrier in diabetic retinopathy. PLoS One 2014, 9, e108508. [CrossRef]
  424. Suzuki, Y.; Nakazawa, M.; Suzuki, K.; Yamazaki, H.; Miyagawa, Y., Expression profiles of cytokines and chemokines in vitreous fluid in diabetic retinopathy and central retinal vein occlusion. Jpn J Ophthalmol 2011, 55, 256-263. [CrossRef]
  425. Abcouwer, S. F., Müller Cell-Microglia Cross Talk Drives Neuroinflammation in Diabetic Retinopathy. Diabetes 2017, 66, 261-263. [CrossRef]
  426. Sorrentino, F. S.; Allkabes, M.; Salsini, G.; Bonifazzi, C.; Perri, P., The importance of glial cells in the homeostasis of the retinal microenvironment and their pivotal role in the course of diabetic retinopathy. Life Sci 2016, 162, 54-59. [CrossRef]
  427. Xu, Z.; Li, S.; Li, K.; Wang, X.; Li, X.; An, M.; Yu, X.; Long, X.; Zhong, R.; Liu, Q.; Wang, X.; Yang, Y.; Tian, N., Urolithin A ameliorates diabetic retinopathy via activation of the Nrf2/HO-1 pathway. Endocr J 2022, 69, 971-982. [CrossRef]
  428. Mansour, S. E.; Browning, D. J.; Wong, K.; Flynn, H. W., Jr.; Bhavsar, A. R., The Evolving Treatment of Diabetic Retinopathy. Clin Ophthalmol 2020, 14, 653-678. [CrossRef]
  429. Jakus, V.; Rietbrock, N., Advanced glycation end-products and the progress of diabetic vascular complications. Physiological research 2004, 53, 131-42. [CrossRef]
  430. Haritoglou, C.; Gerss, J.; Sauerland, C.; Kampik, A.; Ulbig, M. W., Effect of calcium dobesilate on occurrence of diabetic macular oedema (CALDIRET study): randomised, double-blind, placebo-controlled, multicentre trial. Lancet 2009, 373, 1364-71. [CrossRef]
  431. Mayer-Davis, E. J.; Bell, R. A.; Reboussin, B. A.; Rushing, J.; Marshall, J. A.; Hamman, R. F., Antioxidant nutrient intake and diabetic retinopathy: the San Luis Valley Diabetes Study. Ophthalmology 1998, 105, 2264-70. [CrossRef]
  432. Millen, A. E.; Klein, R.; Folsom, A. R.; Stevens, J.; Palta, M.; Mares, J. A., Relation between intake of vitamins C and E and risk of diabetic retinopathy in the Atherosclerosis Risk in Communities Study. The American journal of clinical nutrition 2004, 79, 865-73. [CrossRef]
  433. Yang, J.; Hua, Z.; Zheng, Z.; Ma, X.; Zhu, L.; Li, Y., Acteoside inhibits high glucose-induced oxidative stress injury in RPE cells and the outer retina through the Keap1/Nrf2/ARE pathway. Exp Eye Res 2023, 232, 109496. [CrossRef]
  434. Li, S.; Lu, S.; Wang, L.; Liu, S.; Zhang, L.; Du, J.; Wu, Z.; Huang, X., Effects of amygdalin on ferroptosis and oxidative stress in diabetic retinopathy progression via the NRF2/ARE signaling pathway. Exp Eye Res 2023, 234, 109569. [CrossRef]
  435. Blaustein, M. P.; Hamlyn, J. M., Ouabain, endogenous ouabain and ouabain-like factors: The Na(+) pump/ouabain receptor, its linkage to NCX, and its myriad functions. Cell Calcium 2020, 86, 102159. [CrossRef]
  436. Blanco, G., Na,K-ATPase subunit heterogeneity as a mechanism for tissue-specific ion regulation. Semin Nephrol 2005, 25, 292-303. [CrossRef]
  437. Wetzel, R. K.; Arystarkhova, E.; Sweadner, K. J., Cellular and subcellular specification of Na,K-ATPase alpha and beta isoforms in the postnatal development of mouse retina. The Journal of neuroscience : the official journal of the Society for Neuroscience 1999, 19, 9878-89. [CrossRef]
  438. Maturana-Teixeira, S.; Braga, L. E.; Carpi Santos, R.; Calaza Kda, C.; Giestal-de-Araujo, E.; Leão-Ferreira, L. R., The (Na(+)/K (+))-ATPase activity in the developing rat retina: the role of insulin-like growth factor-I (IGF-I). Cell Mol Neurobiol 2015, 35, 243-54. [CrossRef]
  439. Demontis, G. C.; Ratto, G. M.; Bisti, S.; Cervetto, L., Effect of blocking the Na+/K+ ATPase on Ca2+ extrusion and light adaptation in mammalian retinal rods. Biophys J 1995, 69, 439-450. [CrossRef]
  440. Namekata, K.; Harada, C.; Kohyama, K.; Matsumoto, Y.; Harada, T., Interleukin-1 stimulates glutamate uptake in glial cells by accelerating membrane trafficking of Na+/K+-ATPase via actin depolymerization. Molecular and cellular biology 2008, 28, 3273-80. [CrossRef]
  441. Country, M. W., Retinal metabolism: A comparative look at energetics in the retina. Brain Res 2017, 1672, 50-57. [CrossRef]
  442. Nagaoka, K.; Kurauchi, Y.; Asano, D.; Morita, A.; Sakamoto, K.; Nakahara, T., Pharmacological inhibition of Na(+)/K(+)-ATPase induces neurovascular degeneration and glial cell alteration in the rat retina. Exp Eye Res 2022, 220, 109107. [CrossRef]
  443. McGinn, T. E.; Galicia, C. A.; Leoni, D. C.; Partington, N.; Mitchell, D. M.; Stenkamp, D. L., Rewiring the Regenerated Zebrafish Retina: Reemergence of Bipolar Neurons and Cone-Bipolar Circuitry Following an Inner Retinal Lesion. Front Cell Dev Biol 2019, 7, 95. [CrossRef]
  444. Barrett, L. M.; Mitchell, D. M.; Meighan, P. C.; Varnum, M. D.; Stenkamp, D. L., Dynamic functional and structural remodeling during retinal regeneration in zebrafish. Front Mol Neurosci 2022, 15, 1070509. [CrossRef]
  445. Corrêa Gde, R.; Cunha, K. C.; dos Santos, A. A.; de Araujo, E. G., The trophic effect of ouabain on retinal ganglion cell is mediated by EGF receptor and PKC delta activation. Neurochem Res 2010, 35, 1343-1352. [CrossRef]
  446. Sarkies, N., Traumatic optic neuropathy. Eye 2004, 18, 1122-5. [CrossRef]
  447. Almasieh, M.; Wilson, A. M.; Morquette, B.; Cueva Vargas, J. L.; Di Polo, A., The molecular basis of retinal ganglion cell death in glaucoma. Prog Retin Eye Res 2012, 31, 152-181. [CrossRef]
  448. Tribble, J. R.; Hui, F.; Quintero, H.; El Hajji, S.; Bell, K.; Di Polo, A.; Williams, P. A., Neuroprotection in glaucoma: Mechanisms beyond intraocular pressure lowering. Molecular aspects of medicine 2023, 92, 101193. [CrossRef]
  449. Fry, L. E.; Fahy, E.; Chrysostomou, V.; Hui, F.; Tang, J.; van Wijngaarden, P.; Petrou, S.; Crowston, J. G., The coma in glaucoma: Retinal ganglion cell dysfunction and recovery. Prog Retin Eye Res 2018, 65, 77-92. [CrossRef]
  450. Berkelaar, M.; Clarke, D. B.; Wang, Y. C.; Bray, G. M.; Aguayo, A. J., Axotomy results in delayed death and apoptosis of retinal ganglion cells in adult rats. The Journal of neuroscience : the official journal of the Society for Neuroscience 1994, 14, 4368-74. [CrossRef]
  451. de Araujo, E. G.; Linden, R., Trophic factors produced by retinal cells increase the survival of retinal ganglion cells in vitro. The European journal of neuroscience 1993, 5, 1181-1188. [CrossRef]
  452. Yin, Y.; Benowitz, L. I., In Vitro and In Vivo Methods for Studying Retinal Ganglion Cell Survival and Optic Nerve Regeneration. Methods Mol Biol 2018, 1695, 187-205. [CrossRef]
  453. Kügler, S.; Straten, G.; Kreppel, F.; Isenmann, S.; Liston, P.; Bähr, M., The X-linked inhibitor of apoptosis (XIAP) prevents cell death in axotomized CNS neurons in vivo. Cell death and differentiation 2000, 7, 815-824. [CrossRef]
  454. Isenmann, S.; Kretz, A.; Cellerino, A., Molecular determinants of retinal ganglion cell development, survival, and regeneration. Prog Retin Eye Res 2003, 22, 483-543. [CrossRef]
  455. Kroeger, H.; Chiang, W. C.; Felden, J.; Nguyen, A.; Lin, J. H., ER stress and unfolded protein response in ocular health and disease. Febs j 2019, 286, 399-412. [CrossRef]
  456. Fudalej, E.; Justyniarska, M.; Kasarełło, K.; Dziedziak, J.; Szaflik, J. P.; Cudnoch-Jędrzejewska, A., Neuroprotective Factors of the Retina and Their Role in Promoting Survival of Retinal Ganglion Cells: A Review. Ophthalmic Res 2021, 64, 345-355. [CrossRef]
  457. de Rezende Corrêa, G.; Araujo dos Santos, A.; Frederico Leite Fontes, C.; Giestal de Araujo, E., Ouabain induces an increase of retinal ganglion cell survival in vitro: the involvement of protein kinase C. Brain Res 2005, 1049, 89-94. [CrossRef]
  458. Mázala-de-Oliveira, T.; de Figueiredo, C. S.; de Rezende Corrêa, G.; da Silva, M. S.; Miranda, R. L.; de Azevedo, M. A.; Cossenza, M.; Dos Santos, A. A.; Giestal-de-Araujo, E., Ouabain-Na(+)/K(+)-ATPase Signaling Regulates Retinal Neuroinflammation and ROS Production Preventing Neuronal Death by an Autophagy-Dependent Mechanism Following Optic Nerve Axotomy In Vitro. Neurochem Res 2022, 47, 723-738. [CrossRef]
  459. Salles von-Held-Ventura, J.; Mázala-de-Oliveira, T.; Cândida da Rocha Oliveira, A.; Granja, M. G.; Gonçalves-de-Albuquerque, C. F.; Castro-Faria-Neto, H. C.; Giestal-de-Araujo, E., The trophic effect of ouabain on retinal ganglion cells is mediated by IL-1β and TNF-α. Biochemical and biophysical research communications 2016, 478, 378-384. [CrossRef]
  460. Ail, D.; Ren, D.; Brazhnikova, E.; Nouvel-Jaillard, C.; Bertin, S.; Mirashrafi, S. B.; Fisson, S.; Dalkara, D., Systemic and local immune responses to intraocular AAV vector administration in non-human primates. Mol Ther Methods Clin Dev 2022, 24, 306-316. [CrossRef]
  461. Bennett, J.; Maguire, A. M., Lessons Learned from the Development of the First FDA-Approved Gene Therapy Drug, Voretigene Neparvovec-rzyl. Cold Spring Harbor perspectives in medicine 2023, 13. [CrossRef]
  462. Haider, N. B.; Ikeda, A.; Naggert, J. K.; Nishina, P. M., Genetic modifiers of vision and hearing. Human molecular genetics 2002, 11, 1195-206. [CrossRef]
  463. Dipple, K. M.; McCabe, E. R., Modifier genes convert "simple" Mendelian disorders to complex traits. Mol Genet Metab 2000, 71, (1-2), 43-50. [CrossRef]
  464. Toms, M.; Ward, N.; Moosajee, M., Nuclear Receptor Subfamily 2 Group E Member 3 (NR2E3): Role in Retinal Development and Disease. Genes 2023, 14. [CrossRef]
  465. Maeder, M. L.; Stefanidakis, M.; Wilson, C. J.; Baral, R.; Barrera, L. A.; Bounoutas, G. S.; Bumcrot, D.; Chao, H.; Ciulla, D. M.; DaSilva, J. A.; Dass, A.; Dhanapal, V.; Fennell, T. J.; Friedland, A. E.; Giannoukos, G.; Gloskowski, S. W.; Glucksmann, A.; Gotta, G. M.; Jayaram, H.; Haskett, S. J.; Hopkins, B.; Horng, J. E.; Joshi, S.; Marco, E.; Mepani, R.; Reyon, D.; Ta, T.; Tabbaa, D. G.; Samuelsson, S. J.; Shen, S.; Skor, M. N.; Stetkiewicz, P.; Wang, T.; Yudkoff, C.; Myer, V. E.; Albright, C. F.; Jiang, H., Development of a gene-editing approach to restore vision loss in Leber congenital amaurosis type 10. Nature medicine 2019, 25, 229-233. [CrossRef]
  466. Nirenberg, S.; Pandarinath, C., Retinal prosthetic strategy with the capacity to restore normal vision. Proceedings of the National Academy of Sciences of the United States of America 2012, 109, 15012-15017. [CrossRef]
  467. Batabyal, S.; Gajjeraman, S.; Pradhan, S.; Bhattacharya, S.; Wright, W.; Mohanty, S., Sensitization of ON-bipolar cells with ambient light activatable multi-characteristic opsin rescues vision in mice. Gene Ther 2021, 28, (3-4), 162-176. [CrossRef]
  468. Sahel, J. A.; Boulanger-Scemama, E.; Pagot, C.; Arleo, A.; Galluppi, F.; Martel, J. N.; Esposti, S. D.; Delaux, A.; de Saint Aubert, J. B.; de Montleau, C.; Gutman, E.; Audo, I.; Duebel, J.; Picaud, S.; Dalkara, D.; Blouin, L.; Taiel, M.; Roska, B., Partial recovery of visual function in a blind patient after optogenetic therapy. Nature medicine 2021, 27, 1223-1229. [CrossRef]
  469. Miltner, A. M.; La Torre, A., Retinal Ganglion Cell Replacement: Current Status and Challenges Ahead. Developmental dynamics : an official publication of the American Association of Anatomists 2019, 248, 118-128. [CrossRef]
  470. Lahne, M.; Nagashima, M.; Hyde, D. R.; Hitchcock, P. F., Reprogramming Müller Glia to Regenerate Retinal Neurons. Annu Rev Vis Sci 2020, 6, 171-193. [CrossRef]
  471. Goldman, D., Muller glial cell reprogramming and retina regeneration. Nat Rev Neurosci 2014, 15, 431-42. [CrossRef]
  472. Blackshaw, S., Why Has the Ability to Regenerate Following CNS Injury Been Repeatedly Lost Over the Course of Evolution? Frontiers in neuroscience 2022, 16, 831062. [CrossRef]
  473. Hoang, T.; Wang, J.; Boyd, P.; Wang, F.; Santiago, C.; Jiang, L.; Yoo, S.; Lahne, M.; Todd, L. J.; Jia, M.; Saez, C.; Keuthan, C.; Palazzo, I.; Squires, N.; Campbell, W. A.; Rajaii, F.; Parayil, T.; Trinh, V.; Kim, D. W.; Wang, G.; Campbell, L. J.; Ash, J.; Fischer, A. J.; Hyde, D. R.; Qian, J.; Blackshaw, S., Gene regulatory networks controlling vertebrate retinal regeneration. Science 2020, 370. [CrossRef]
  474. Pollak, J.; Wilken, M. S.; Ueki, Y.; Cox, K. E.; Sullivan, J. M.; Taylor, R. J.; Levine, E. M.; Reh, T. A., ASCL1 reprograms mouse Muller glia into neurogenic retinal progenitors. Development 2013, 140, 2619-31. [CrossRef]
  475. Ueki, Y.; Wilken, M. S.; Cox, K. E.; Chipman, L.; Jorstad, N.; Sternhagen, K.; Simic, M.; Ullom, K.; Nakafuku, M.; Reh, T. A., Transgenic expression of the proneural transcription factor Ascl1 in Muller glia stimulates retinal regeneration in young mice. Proceedings of the National Academy of Sciences of the United States of America 2015, 112, 13717-13722. [CrossRef]
  476. Jorstad, N. L.; Wilken, M. S.; Grimes, W. N.; Wohl, S. G.; VandenBosch, L. S.; Yoshimatsu, T.; Wong, R. O.; Rieke, F.; Reh, T. A., Stimulation of functional neuronal regeneration from Muller glia in adult mice. Nature 2017, 548, 103-107. [CrossRef]
  477. Todd, L.; Hooper, M. J.; Haugan, A. K.; Finkbeiner, C.; Jorstad, N.; Radulovich, N.; Wong, C. K.; Donaldson, P. C.; Jenkins, W.; Chen, Q.; Rieke, F.; Reh, T. A., Efficient stimulation of retinal regeneration from Muller glia in adult mice using combinations of proneural bHLH transcription factors. Cell Rep 2021, 37, 109857. [CrossRef]
  478. Todd, L.; Jenkins, W.; Finkbeiner, C.; Hooper, M. J.; Donaldson, P. C.; Pavlou, M.; Wohlschlegel, J.; Ingram, N.; Rieke, F.; Reh, T. A.; Mu, X., Reprogramming Müller glia to regenerate ganglion-like cells in adult mouse retina with developmental transcription factors. Sci Adv 2022, 8, eabq7219. [CrossRef]
  479. Xiao, D.; Jin, K.; Qiu, S.; Lei, Q.; Huang, W.; Chen, H.; Su, J.; Xu, Q.; Xu, Z.; Gou, B.; Tie, X.; Liu, F.; Liu, S.; Liu, Y.; Xiang, M., In vivo Regeneration of Ganglion Cells for Vision Restoration in Mammalian Retinas. Front Cell Dev Biol 2021, 9, 755544. [CrossRef]
  480. Zhou, H.; Su, J.; Hu, X.; Zhou, C.; Li, H.; Chen, Z.; Xiao, Q.; Wang, B.; Wu, W.; Sun, Y.; Zhou, Y.; Tang, C.; Liu, F.; Wang, L.; Feng, C.; Liu, M.; Li, S.; Zhang, Y.; Xu, H.; Yao, H.; Shi, L.; Yang, H., Glia-to-Neuron Conversion by CRISPR-CasRx Alleviates Symptoms of Neurological Disease in Mice. Cell 2020, 181, 590-603 e16. [CrossRef]
  481. Yao, K.; Qiu, S.; Wang, Y. V.; Park, S. J. H.; Mohns, E. J.; Mehta, B.; Liu, X.; Chang, B.; Zenisek, D.; Crair, M. C.; Demb, J. B.; Chen, B., Restoration of vision after de novo genesis of rod photoreceptors in mammalian retinas. Nature 2018, 560, 484-488. [CrossRef]
  482. Le, N.; Appel, H.; Pannullo, N.; Hoang, T.; Blackshaw, S., Ectopic insert-dependent neuronal expression of GFAP promoter-driven AAV constructs in adult mouse retina. Front Cell Dev Biol 2022, 10, 914386. [CrossRef]
  483. Wang, L. L.; Zhang, C. L., Therapeutic Potential of PTBP1 Inhibition, If Any, Is Not Attributed to Glia-to-Neuron Conversion. Annual review of neuroscience 2023, 46, 1-15. [CrossRef]
  484. Xie, Y.; Zhou, J.; Chen, B., Critical examination of Ptbp1-mediated glia-to-neuron conversion in the mouse retina. Cell reports 2022, 39, 110960. [CrossRef]
  485. Blackshaw, S.; Sanes, J. R., Turning lead into gold: reprogramming retinal cells to cure blindness. The Journal of clinical investigation 2021, 131. [CrossRef]
  486. Ling, J. P.; Bygrave, A. M.; Santiago, C. P.; Carmen-Orozco, R. P.; Trinh, V. T.; Yu, M.; Li, Y.; Liu, Y.; Bowden, K. D.; Duncan, L. H.; Han, J.; Taneja, K.; Dongmo, R.; Babola, T. A.; Parker, P.; Jiang, L.; Leavey, P. J.; Smith, J. J.; Vistein, R.; Gimmen, M. Y.; Dubner, B.; Helmenstine, E.; Teodorescu, P.; Karantanos, T.; Ghiaur, G.; Kanold, P. O.; Bergles, D.; Langmead, B.; Sun, S.; Nielsen, K. J.; Peachey, N.; Singh, M. S.; Dalton, W. B.; Rajaii, F.; Huganir, R. L.; Blackshaw, S., Cell-specific regulation of gene expression using splicing-dependent frameshifting. Nature communications 2022, 13, 5773. [CrossRef]
  487. Gao, Y.; Fang, K.; Yan, Z.; Zhang, H.; Geng, G.; Wu, W.; Xu, D.; Zhang, H.; Zhong, N.; Wang, Q.; Cai, M.; Zuo, E.; Yang, H., Develop an efficient and specific AAV-based labeling system for Muller glia in mice. Scientific reports 2022, 12, 22410. [CrossRef]
  488. Tresenrider, A.; Hooper, M.; Todd, L.; Kierney, F.; Blasdel, N.; Trapnell, C.; Reh, T. A., A multiplexed, single-cell sequencing screen identifies compounds that increase neurogenic reprogramming of murine Muller glia. bioRxiv 2023. [CrossRef]
  489. Oliveira-Valenca, V. M.; Bosco, A.; Vetter, M. L.; Silveira, M. S., On the Generation and Regeneration of Retinal Ganglion Cells. Frontiers in cell and developmental biology 2020, 8, 581136. [CrossRef]
  490. Soucy, J. R.; Aguzzi, E. A.; Cho, J.; Gilhooley, M. J.; Keuthan, C.; Luo, Z.; Monavarfeshani, A.; Saleem, M. A.; Wang, X. W.; Wohlschlegel, J.; Baranov, P.; Di Polo, A.; Fortune, B.; Gokoffski, K. K.; Goldberg, J. L.; Guido, W.; Kolodkin, A. L.; Mason, C. A.; Ou, Y.; Reh, T. A.; Ross, A. G.; Samuels, B. C.; Welsbie, D.; Zack, D. J.; Johnson, T. V., Retinal ganglion cell repopulation for vision restoration in optic neuropathy: a roadmap from the RReSTORe Consortium. Molecular neurodegeneration 2023, 18, 64.
Figure 1. Comparative analysis of the vertebrate retina, selective mediators, and glutamate receptor expression across species. A comprehensive illustration of the retinal structure, neurotransmitter distribution, and glutamate receptor subunit expression across various species. The left side of the image presents a detailed cross-sectional view of the retina, delineating its layered architecture and the cellular components within each layer. The layers are sequentially labeled from the outermost to the innermost as follows: Choroid, Bruch's membrane, Pigment epithelium (PE), Photoreceptor outer segments (POS), Outer nuclear layer (ONL), Outer plexiform layer (OPL), Inner nuclear layer (INL), Inner plexiform layer (IPL), Ganglion cell layer (GCL), and Nerve fiber layer (NFL). The direction of light entering the retina is indicated by yellow arrows at the bottom, pointing towards the nerve fiber layer. Cell types within the retina are represented by distinct symbols: cones and rods (photoreceptors), Müller glia, horizontal cells, bipolar cells, amacrine cells, and ganglion cells. These symbols are color-coded and positioned to reflect their location within the retinal layers, illustrating the complex interplay of cells involved in visual processing. The right side of the image features a chart displaying the molecular structures of various neurotransmitters, including glutamate, ATP, D-serine, GABA, dopamine, acetylcholine, and serotonin. These neurotransmitters play pivotal roles in retinal signal transduction and are essential for the proper functioning of the visual system. Below the transmitter chart, a key indicates the expression of different glutamate receptor subunits (NR1, NR2A, NR2B, NR2C, GluR5, GluR6/7, GluR6, GluR7, KA1, KA2) across six species: goldfish (G), rat (R), rabbit (Rb), monkey (M), mouse (Ms), and cat (C). Each species is represented by an icon and a corresponding initial, providing a comparative view of glutamate receptor diversity and its potential impact on visual processing across different vertebrates.
Figure 1. Comparative analysis of the vertebrate retina, selective mediators, and glutamate receptor expression across species. A comprehensive illustration of the retinal structure, neurotransmitter distribution, and glutamate receptor subunit expression across various species. The left side of the image presents a detailed cross-sectional view of the retina, delineating its layered architecture and the cellular components within each layer. The layers are sequentially labeled from the outermost to the innermost as follows: Choroid, Bruch's membrane, Pigment epithelium (PE), Photoreceptor outer segments (POS), Outer nuclear layer (ONL), Outer plexiform layer (OPL), Inner nuclear layer (INL), Inner plexiform layer (IPL), Ganglion cell layer (GCL), and Nerve fiber layer (NFL). The direction of light entering the retina is indicated by yellow arrows at the bottom, pointing towards the nerve fiber layer. Cell types within the retina are represented by distinct symbols: cones and rods (photoreceptors), Müller glia, horizontal cells, bipolar cells, amacrine cells, and ganglion cells. These symbols are color-coded and positioned to reflect their location within the retinal layers, illustrating the complex interplay of cells involved in visual processing. The right side of the image features a chart displaying the molecular structures of various neurotransmitters, including glutamate, ATP, D-serine, GABA, dopamine, acetylcholine, and serotonin. These neurotransmitters play pivotal roles in retinal signal transduction and are essential for the proper functioning of the visual system. Below the transmitter chart, a key indicates the expression of different glutamate receptor subunits (NR1, NR2A, NR2B, NR2C, GluR5, GluR6/7, GluR6, GluR7, KA1, KA2) across six species: goldfish (G), rat (R), rabbit (Rb), monkey (M), mouse (Ms), and cat (C). Each species is represented by an icon and a corresponding initial, providing a comparative view of glutamate receptor diversity and its potential impact on visual processing across different vertebrates.
Preprints 94184 g001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated