1. Introduction
Cerebral small vessel disease (CSVD) presents with diverse clinical symptoms. Patients may exhibit either acute stroke or chronic progressive symptoms, including mood disorders, gait instability, dysphagia, abnormal urination, and cognitive decline [
1]. Its neuroimaging features stem from structural changes in the cerebral microvasculature, involving arteries, arterioles, capillaries, and venules [
2]. Neuroimaging criteria defined by the STRIVE-2, including white matter hyperintensities, lacunar infarcts (vascular origin), recent small subcortical infarcts, enlarged perivascular spaces, cerebral microbleeds, cortical superficial siderosis, and brain atrophy [
3].
CSVD can be classified into two types: sporadic and hereditary. Sporadic cases are strongly associated with modifiable risk factors like hypertension, diabetes, and smoking [
4]. Hereditary subtypes include cerebral amyloid angiopathy and non-amyloid genetic diseases. Non-cerebral amyloid angiopathy includes immunologically mediated or monogenic small vessel diseases [
5]. The latter is most prevalently represented by cerebral autosomal dominant arteriopathy with subcortical ischemic strokes and leukoencephalopathy (CADASIL), which is caused by pathogenic mutations in the NOTCH3 gene [
6].
Vascular smooth muscle cells (SMCs), located in the intima-media (middle layer) of vessels, are the largest number of cells in the arteries [
7]. Being continuously exposed to the mechanical and biochemical signals generated in the blood compartment, SMCs are involved in all physiological functions and pathological variations occurring in the vascular wall [
8]. In addition to maintaining the structural integrity of blood vessels, these cells play a crucial role in vascular function via vasodilation, vasoconstriction, phenotype alteration, and the synthesis of the vascular extracellular matrix. Given the diversity of their roles, SMCs are not terminally differentiated and display phenotypic plasticity.
Figure 1 is drawn based on the arterial structure and cellular phenotypes, with references from Lorigo, et al. [
9].
SMCs are key regulators of cerebral blood flow (CBF) [
10], glymphatic clearance [
11], and vascular remodeling [
12], and these functions are pivotal in the progression of CSVD. Basic research indicates that SMCs can undergo various pathological changes, including hypertrophy, proliferation, degeneration, loss, and phenotypic alterations in different types of CSVD. Moreover, numerous signaling molecules impact the function, phenotype, and morphology of SMCs. In this brief review, we aim to summarize the SMCs related physiological functions, pathological changes, blood flow regulation disorders, and molecular signals in the context of CSVD.
2. The Function of SMCs in Physiological Conditions
2.1. Blood Pressure Sensing and Blood Flow Adjustment
As primary sensors of blood pressure fluctuations, SMCs in arteries and arterioles dynamically regulate CBF through mechanosensory signal transduction. When exposed to mechanical stress, these cells undergo transient membrane depolarization, a process critical for maintaining vascular resistance [
13]. This electromechanical coupling directly modulates vascular diameter: luminal constriction occurs with elevated blood pressure, while dilation accompanies pressure reduction, thereby establishing an intrinsic CBF regulatory mechanism. Notably, SMCs in penetrating and pre-capillary arterioles serve as key effectors in this autoregulatory cascade. Mechanistic studies reveal that regulatory process involves coordinated activation of membrane ionic channels [
14], G-protein coupled receptor [
15], and downstream pathways such as Rho kinase [
16,
17].
2.2. Providing Impetus for Glymphatic Clearance
The glymphatic system in the brain responsible for the dynamic flow and substance exchange between cerebrospinal fluid (CSF) and brain interstitial fluid [
18]. This system functions similarly to the peripheral lymphatic system in clearing fluids and metabolic waste [
19]. The circulation path starts with CSF entering the perivascular spaces around arterioles from the subarachnoid space. It then moves through the periarteriolar space into the cerebral parenchyma, subsequently mixing with the interstitial fluid within the parenchyma. Eventually, it exits through the perivascular spaces around veins and is finally absorbed into the venous sinuses via arachnoid granulations in the dura mater [
20].
Figure 2 built upon a diagram of glymphatic system adapted from Tian, et al [
21]. Crucially, this process is driven by rhythmic vascular diameter changes originating from cardiac-driven hemodynamic pulsations. SMCs stand out as central regulators of glymphatic clearance through modulating vascular pulsatility. Arteriolar SMCs transduce cardiac impulses into biomechanical waves along pial and penetrating arteries, transmitting pulsatile energy from central vessels to distal periarteriolar spaces [
22]. However, we cautiously speculate that SMCs function not merely as passive relayer, but as active mitigators by dynamically adjusting vascular tone which converts vascular pulsations into precisely regulated hydrodynamic force, thereby playing a role in glymphatic clearance.
2.3. Participating in Vascular Remodeling
In response to vascular injury, mature SMCs markedly increase their rates of proliferation, migration, and synthesis, which results in alterations in morphology, structure, and function. This process is known as plasticity of SMCs and displays as phenotypic changes [
17]. Specifically, SMCs can shift from classic contraction phenotypes to synthesis, fibroblasts, and even macrophage-like phenotypes in response to changes in the internal environment [
23,
24]. Plasticity of SMCs allows the vascular system to remodel during vascular development, and enables vascularized tissues to repair and regenerate when faced with injury [
25]. During atherogenesis, SMCs migrate from the media layer of healthy arteries to the intima and form a protective fibrous cap. However, as the plaque progresses, phenotypic switching occurs and secretes collagens which stabilize plaque [
26].
3. Pathological Transformations of SMCs in the Progression of CSVD
3.1. Hypertrophy and Proliferation
Small cerebral vessels undergo structural modifications induced by persistent high blood pressure in the early stages of CSVD, leading to reduced lumen diameter, vascular stiffening, and increased vascular resistance. These alterations are partly due to hypertrophic remodeling of SMCs, just as demonstrated by promoted expression of alpha-smooth muscle actin (α-SMA), collagen I, and collagen IV in hypertensive rat models [
27]. In addition, SMCs proliferation and the production of fibronectin and type IV collagen are promoted by Fabry disease, a hereditary form of CSVD that affects vascular endothelial cells and vascular SMCs across various organs, including the brain, heart, and kidneys [
28].
3.2. Loss and Degeneration
The loss and degeneration of arterial SMCs are especially prominent in inherited CSVD. The loss and reduction of SMCs in cerebral arterioles walls are particularly severe in patients with CADASIL and cerebral autosomal recessive arteriopathy with sub-cortical infarcts and leukoencephalopathy (CARASIL) [29-31]. These two forms of CSVD are caused by single-gene mutations: CADASIL (caused by mutations in the NOTCH3 gene) and CARASIL (caused by mutations in the HTRA1 gene). Another hereditary form of CSVD attributed to mutations in the COL4A1 or COL4A2 gene, which are associated with spontaneous intracerebral hemorrhages (ICHs) [
32]. Arterial SMCs loss is significantly shown in patients and mice with COL4A1 gene mutations [
33,
34]. Diminished coverage of SMCs in ruptured arteries, as revealed by pathological analyses, is the original cause of these ICHs [
33,
35].
3.3. Phenotype Remodeling and Changes of Vascular Extracellular Matrix
Phenotypic switching of SMCs refers to the process by which SMCs change from one phenotype to another in response to various stimuli [
36]. In mature arteries, SMCs typically maintain a contractile phenotype characterized by low synthetic activity. However, in response to local extracellular signals, SMCs can transition to a synthetic phenotype marked by producing extracellular matrix (ECM) and proliferation. This phenotypic conversion is also a pathological feature observed in vascular remodeling associated with CSVD. In the spontaneously hypertensive rat (SHR) model of CSVD, SMCs shift from a contractile to a synthetic phenotype during chronic hypertension and aging [
37]. This phenomenon is also evidenced in mice models of CSVD by the low expression of the contractile marker α-SMA and high expression of the synthetic marker proliferating cell nuclear antigen (PCNA), indicating SMCs phenotypic conversion [
38].
The ECM includes components such as collagen, elastin, hyaluronic acid, and laminin. These molecules form a complex network providing mechanical support to cells in vessel and maintaining viscoelasticity to blood vessels, enabling arteries to expand and contract during the cardiac cycle [
39]. Synthetic phenotype derives form phenotype remodeling are capable of producing the ECM. In CSVD, pathological changes can manifest as a disorder in the composition of ECM in the blood vessel wall. Reduced elastin levels have been observed in SHR stroke-prone rats [
40], and increased deposition of collagens in the media of vascular wall has been reported in arteries from hypertensive individuals [
41] and animal models of hypertension [
42,
43]. Pathological changes in the vascular ECM are notable in CADASIL, with abnormal accumulation of NOTCH3 protein and other ECM proteins accumulate around SMCs in the brain microvasculature [
44]. Additionally, impairment of folding and secretion of collagen IV into the basement membrane can be observed in individuals with mutations in the COL4A1 and COL4A2 genes [
45].
3.4. Impairment of Glymphatic Clearance
Declination in glymphatic clearance also contributes to the pathological process of CSVD, due to the accumulation of abnormal proteins and metabolites in brain tissues [21,46-49]. SHR are routinely used in CSVD animal research, and clearance capacity of glymphatic system in SHR is lower compared to normal rats [
50]. Currently, various non-invasive magnetic resonance imaging techniques have been developed to quantitatively study glymphatic clearance capacity, such as the DTI-ALPS technique [
51,
52]. Imaging studies have demonstrated that patients with CSVD have reduced clearance function when compared with normal control populations, and glymphatic clearance dysfunction is correlated with the severity of CSVD [
53]. It is plausible to speculate that the hydrodynamic force driven glymphatic clearance is inherently affected by a dysfunction of SMCs.
3.5. Disorder of CBF Regulation
CBF refers to the volume of blood passing through a given volume of brain tissue over a specified period. CBF autoregulation is realized through vasodilation or vasoconstriction in response to blood demand and mechanical stress from blood pressure. Besides perfusion pressure acting on blood vessels, CBF is primarily determined by three physiological processes (
Figure 3). Firstly, CBF is intricately regulated at a local level, responding to metabolite within brain tissue. For instance, carbon dioxide (CO₂) acts as a vasodilator by altering pH levels, influencing ion channel conductance in vascular SMCs [
54]. However, impaired CO₂ response increases CSVD burden and worsened cognitive function [
55,
56]. Secondly, the myogenic response refers to blood vessel constriction in response to elevated intravascular pressure, while dilation upon pressure reduction [
57]. The impairment of this response can be found in CSVD such as CADASIL [
58]. Notch3-KO mice, modeling CADASIL with arterial smooth muscle cell loss, exhibit significantly reduced myogenic tone in pial arteries, severely compromising CBF autoregulation [
59]. In another hereditary CSVD associated with COL4A1 gene mutations, an age-related decline in myogenic tone is observed in cerebral arteries [
35]. Thirdly, neurovascular coupling (NVC), also known as functional hyperemia, performs additional role in regulating CBF. NVC involves neural activity-dependent increases in CBF to meet localized metabolic demands for nutrients and oxygen. This intricate process involves neural signal transmission through three distinct pathways: astrocytic endfeet, interneuron synapses, or endothelial projections targeting smooth muscle cells (SMCs). These pathways collectively trigger vasodilation in response to neuronal activity [
60,
61]. A systematic review investigating NVC's relationship with CSVD revealed that 26 out of 29 studies reported diminished NVC with increasing severity of CSVD [
62]. Dynamic CBF autoregulation was found to be impaired in patients, with the extent of this impairment being positively correlated with the burden of CSVD markers on MRI [
63]. Overall, these studies underscore the key role of compromised NVC and myogenic response in the underlying mechanisms of CSVD, thereby emphasizing their potential as promising therapeutic targets for addressing this condition.
4. Signaling Molecules Modulating SMCs
The hemodynamic conditions within the vasculature exert SMCs with constant mechanical stress, including forces such as transmural pressure, pulsatile pressure, and shear stress. Previous studies have shown that the functional and structural changes in SMCs are regulated by a variety of chemical and mechanical signals. Among chemical signals, the Notch3 receptor, predominantly expressed in SMCs, is essential for all phases of intracranial vascular development. One study suggested that age-related arterial loss of SMCs may be linked to a decrease in Notch3 signaling activity [
64]. Additionally, endothelium-derived nitric oxide (NO) relaxes SMCs and subsequently promotes blood vessel dilation [
65]. NO induces vasodilation by increasing cyclic guanosine monophosphate (cGMP) in SMCs [
66]. Similar to cGMP, cyclic adenosine monophosphate (cAMP) also involved in regulating the relaxation of cerebrovascular SMCs [
14]. The degradation of cGMP and cAMP is regulated by phosphodiesterases (PDEs). Notably, PDEs serve as crucial targets for modulating the degradation of cGMP and cAMP [
9]. Moreover, endothelin-1 (ET-1) activate receptors on SMCs, causing vasoconstriction. Elevated ET-1 releasing by dysfunctional endothelial cells contributes to pathological vasoconstriction. Injections of ET-1 plus a nitric oxide synthase inhibitor into the cerebral issue induce vasoconstriction of small vessels, mimicking small vascular pathologies and resulting in clinical features [
67]. Additionally, TGF-β is implicated as a key factor in the arterial SMCs depletion, and experiment with COL4A1-altered mice observe an increased TGF-β activity [
34]. Last but not least, platelet-derived growth factor receptor-beta (PDGFR-β) signaling expressed by pericyte-like cells, is associated with the loss of SMCs in CADASIL [
68].
The signaling pathways induced by mechanical stress in SMCs require further investigation in the context of CSVD. The activation of these proteins triggers multiple downstream signaling pathways simultaneously, leading to the expression and repression of various genes. The resulting cellular effects include proliferation, migration, phenotype changes, vasoconstriction, and alterations in ECM composition [
17]. Several transmembrane proteins are under consideration as candidates, notably mechanosensitive ion channels [
69], G protein-coupled receptors [
70], cyclic nucleotide-gated (CNG) ion channels [
71], and focal adhesion kinase [
72]. Collectively, despite the progress made, the complete understanding of the signals modulating SMCs is still under investigation.
5. Therapeutic Agents Targeting SMCs
The molecules implicated in the aforementioned pivotal signaling components can be regarded as potential pharmacological targets for regulating SMCs, presenting a promising avenue for the treatment of CSVD. Recent research endeavors have yielded encouraging exemplars, fostering optimism in this field. In the context of regulating cGMP, cytosolic cGMP undergoes degradation facilitated by phosphodiesterase 5 (PDE5). PDE5 exists within the SMCs that line the blood vessels of the human subcortical white matter. Tadalafil, a PDE5 inhibitor, can cross the blood-brain barrier. In 2022, Pauls et al. published the first clinical randomized controlled trial of PDE5 inhibitors for the treatment of vascular cognitive impairment, finding that tadalafil administration increased CBF in subcortical areas, especially in within white matter hyperintensities [
73]. In addition to PDE5 inhibitor, cilostazol is a selective PDE3 inhibitor. In patients with CSVD, cilostazol is more effective than aspirin in reducing the ultrastructural damage to the apparently normal brain white matter and in lowering the risk of ischemic vascular events [
74]. Recently, the LACI-2 study designed to treat symptomatic CSVD reveals that cilostazol shows efficacy in reducing patient dependence and improving their spirit. When cilostazol used in combination with isosorbide mononitrate, additional benefits can be observed [
75].
6. Discussion
SMCs perform a central role in vascular homeostasis, orchestrating blood flow control, structural remodeling, and waste clearance. The dysfunction and quantitative changes in SMCs are increasingly recognized as key mechanisms in the development of CSVD. Vascular high-risk factors like chronic hypertension, genetic mutations, and aging disrupt these functions, leading to SMCs hypertrophy, loss, and phenotypic instability. Above pathological changes impair cerebral blood flow autoregulation, promote extracellular matrix disorganization, and reduce capacity of glymphatic clearance. These effects act synergistically to contribute to ischemic damage and cognitive decline.
The molecular mechanisms of SMCs dysfunction imply potential therapeutic targets. For example, cyclic nucleotide signaling pathways, which govern SMC relaxation and blood vessel dilation, can be targeted using drugs like cilostazol and tadalafil. These phosphodiesterase inhibitors boost cyclic nucleotide levels, improving blood flow and reducing vascular resistance. Despite progress, critical challenges remain. Current therapies mainly alleviate symptoms rather than dealing with causes lead to SMCs dysfunction. The heterogeneity of CSVD complicates treatment development, because different subtypes may demand distinct interventions. For instance, sporadic and hereditary forms may need different treatment methods. Although phosphodiesterase inhibitors improve blood flow, their effects on stabilizing SMCs phenotypes or restoring glymphatic clearance are unclear. In addition, crosstalk mechanisms such as endothelial damage, inflammation, and vascular aging likely interact with SMCs pathology, emphasizing the need for integrated therapeutic strategies.
To gain a profound understanding of the pathogenesis of CSVD, future research should focus on how mechanical forces and biochemical signals work together to cause SMCs dysfunction in specific CSVD subtypes. Currently, established techniques such as DTI-ALPS and dynamic cerebral blood flow imaging can non-invasively monitor SMC-mediated pathological changes in patients. Meanwhile, some mechanisms like endothelial-mesenchymal transition deserves attention. This process has been widely discussed in cardiovascular diseases and may provide new perspectives on the adaptive changes of SMCs. If the above-mentioned techniques are combined with molecular mechanism research, it can not only reveal the complex interactions between SMCs, inflammatory pathways, and endothelial repair, but also promote the shift of treatment strategies from symptomatic treatment to disease modification, ultimately improving outcomes for CSVD patients.
7. Conclusions
SMCs dysfunction is a crucial factor in the development of CSVD pathogenesis, leading to cerebral blood flow disorder, vascular structure damage, and metabolic waste accumulation. Although therapies targeting cyclic nucleotisde signaling show early promise, a deeper understanding of the molecular mechanism of SMCs phenotypic switching and extracellular matrix dysregulation is essential. Future research should integrate multidisciplinary approaches, ranging from the exploration of molecular mechanisms to the application of advanced imaging techniques, from specific interventions on SMCs to the coordinated regulation of inflammation and endothelial repair. Such an integrated strategy may pave the way for effective treatments to relieve the rising global burden of CSVD.
Author Contributions
Conceptualization, D.M.; writing—original draft preparation, D.M.; Supervision, H.Z.; Funding acquisition, D.M., Q.L. and H.Z.; Writing – review & editing, D.M., Q.L. and H.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported by the Science and Technology Plan Project of Shaanxi Provincial Department of Science and Technology (2023-JC-YB-721, 2023-JC-QN-0957), Shaanxi University of Chinese Medicine Doctoral Research Initiation Project (17102032244), Qinchuangyuan Traditional Chinese Medicine Industry Innovation Cluster Zone Project of Xianyang Science and Technology Bureau (L2024-QCY-ZYYJJQ-X90, L2024-QCY-ZYYJJQ-Y04).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
| CADASIL |
Cerebral autosomal dominant arteriopathy with sub-cortical infarcts and leukoencephalopathy |
| CARASIL |
Cerebral autosomal recessive arteriopathy with sub-cortical infarcts and leukoencephalopathy |
| cAMP |
Cyclic adenosine monophosphate |
| cGMP |
Cyclic guanosine monophosphate |
| CBF |
Cerebral blood flow |
| CSF |
Cerebrospinal fluid |
| CSVD |
Cerebral small vessel disease |
| ECM |
Extracellular matrix |
| NO |
Nitric oxide |
| NVC |
Neurovascular coupling |
| SMCs |
Smooth muscle cells |
References
- Wang, Y.; Liu, Z. Research progress on the correlation between MRI and impairment caused by cerebral small vessel disease: A review. Medicine 2023, 102, e35389. [Google Scholar] [CrossRef] [PubMed]
- Backhouse, E.V.; Boardman, J.P.; Wardlaw, J.M. Cerebral Small Vessel Disease: Early-Life Antecedents and Long-Term Implications for the Brain, Aging, Stroke, and Dementia. Hypertension 2024, 81, 54–74. [Google Scholar] [CrossRef] [PubMed]
- Duering, M.; Biessels, G.J.; Brodtmann, A.; Chen, C.; Cordonnier, C.; de Leeuw, F.E.; Debette, S.; Frayne, R.; Jouvent, E.; Rost, N.S.; et al. Neuroimaging standards for research into small vessel disease-advances since 2013. Lancet Neurol 2023, 22, 602–618. [Google Scholar] [CrossRef]
- Yang, H.; Fan, X.; Shen, X.; Liang, L.; Hu, D.; Zhang, Y.; Liu, L.; Qian, H. Correlation of blood pressure levels at different time periods throughout the day with total CSVD burden and MRI imaging markers. Front. Neurol. 2023, 14, 1200846. [Google Scholar] [CrossRef] [PubMed]
- Pantoni, L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol 2010, 9, 689–701. [Google Scholar] [CrossRef]
- Marini, S.; Anderson, C.D.; Rosand, J. Genetics of Cerebral Small Vessel Disease. Stroke 2020, 51, 12–20. [Google Scholar] [CrossRef]
- Sorokin, V.; Vickneson, K.; Kofidis, T.; Woo, C.C.; Lin, X.Y.; Foo, R.; Shanahan, C.M. Role of Vascular Smooth Muscle Cell Plasticity and Interactions in Vessel Wall Inflammation. Front. Immunol. 2020, 11, 599415. [Google Scholar] [CrossRef]
- Lacolley, P.; Regnault, V.; Nicoletti, A.; Li, Z.; Michel, J.B. The vascular smooth muscle cell in arterial pathology: a cell that can take on multiple roles. Cardiovasc. Res. 2012, 95, 194–204. [Google Scholar] [CrossRef]
- Lorigo, M.; Oliveira, N.; Cairrao, E. PDE-Mediated Cyclic Nucleotide Compartmentation in Vascular Smooth Muscle Cells: From Basic to a Clinical Perspective. J Cardiovasc Dev Dis 2021, 9, 4. [Google Scholar] [CrossRef]
- Frösen, J.; Joutel, A. Smooth muscle cells of intracranial vessels: from development to disease. Cardiovasc. Res. 2018, 114, 501–512. [Google Scholar] [CrossRef]
- Albargothy, N.J.; Johnston, D.A.; MacGregor-Sharp, M.; Weller, R.O.; Verma, A.; Hawkes, C.A.; Carare, R.O. Convective influx/glymphatic system: tracers injected into the CSF enter and leave the brain along separate periarterial basement membrane pathways. Acta Neuropathol. 2018, 136, 139–152. [Google Scholar] [CrossRef]
- Cao, G.; Xuan, X.; Hu, J.; Zhang, R.; Jin, H.; Dong, H. How vascular smooth muscle cell phenotype switching contributes to vascular disease. Cell Communication and Signaling 2022, 20, 180. [Google Scholar] [CrossRef]
- Berridge, M.J. Smooth muscle cell calcium activation mechanisms. J. Physiol. (Lond.) 2008, 586, 5047–5061. [Google Scholar] [CrossRef]
- Tykocki, N.R.; Boerman, E.M.; Jackson, W.F. Smooth Muscle Ion Channels and Regulation of Vascular Tone in Resistance Arteries and Arterioles. Comprehensive Physiology 2017, 7, 485–581. [Google Scholar] [PubMed]
- Hong, K.; Li, M.; Nourian, Z.; Meininger, G.A.; Hill, M.A. Angiotensin II Type 1 Receptor Mechanoactivation Involves RGS5 (Regulator of G Protein Signaling 5) in Skeletal Muscle Arteries: Impaired Trafficking of RGS5 in Hypertension. Hypertension 2017, 70, 1264–1272. [Google Scholar] [CrossRef]
- Jackson, W.F. Myogenic Tone in Peripheral Resistance Arteries and Arterioles: The Pressure Is On. Front. Physiol. 2021, 12, 699517. [Google Scholar] [CrossRef] [PubMed]
- Liu, S.; Lin, Z. Vascular Smooth Muscle Cells Mechanosensitive Regulators and Vascular Remodeling. J. Vasc. Res. 2022, 59, 90–113. [Google Scholar] [CrossRef] [PubMed]
- Iliff, J.J.; Wang, M.; Liao, Y.; Plogg, B.A.; Peng, W.; Gundersen, G.A.; Benveniste, H.; Vates, G.E.; Deane, R.; Goldman, S.A.; et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci. Transl. Med. 2012, 4, 147ra111. [Google Scholar] [CrossRef]
- Taoka, T.; Naganawa, S. Neurofluid Dynamics and the Glymphatic System: A Neuroimaging Perspective. Korean J. Radiol. 2020, 21, 1199–1209. [Google Scholar] [CrossRef]
- Bohr, T.; Hjorth, P.G.; Holst, S.C.; Hrabětová, S.; Kiviniemi, V.; Lilius, T.; Lundgaard, I.; Mardal, K.A.; Martens, E.A.; Mori, Y.; et al. The glymphatic system: Current understanding and modeling. iScience 2022, 25, 104987. [Google Scholar] [CrossRef]
- Tian, Y.; Zhao, M.; Chen, Y.; Yang, M.; Wang, Y. The Underlying Role of the Glymphatic System and Meningeal Lymphatic Vessels in Cerebral Small Vessel Disease. Biomolecules 2022, 12, 748. [Google Scholar] [CrossRef] [PubMed]
- Mestre, H.; Tithof, J.; Du, T.; Song, W.; Peng, W.; Sweeney, A.M.; Olveda, G.; Thomas, J.H.; Nedergaard, M.; Kelley, D.H. Flow of cerebrospinal fluid is driven by arterial pulsations and is reduced in hypertension. Nat Commun 2018, 9, 4878. [Google Scholar] [CrossRef] [PubMed]
- Wang, G.; Jacquet, L.; Karamariti, E.; Xu, Q. Origin and differentiation of vascular smooth muscle cells. J. Physiol. (Lond.) 2015, 593, 3013–3030. [Google Scholar] [CrossRef]
- Allahverdian, S.; Chaabane, C.; Boukais, K.; Francis, G.A.; Bochaton-Piallat, M.L. Smooth muscle cell fate and plasticity in atherosclerosis. Cardiovasc. Res. 2018, 114, 540–550. [Google Scholar] [CrossRef] [PubMed]
- Alexander, M.R.; Owens, G.K. Epigenetic control of smooth muscle cell differentiation and phenotypic switching in vascular development and disease. Annu. Rev. Physiol. 2012, 74, 13–40. [Google Scholar] [CrossRef]
- Hutton, M.; Frazer, M.; Lin, A.; Patel, S.; Misra, A. New Targets in Atherosclerosis: Vascular Smooth Muscle Cell Plasticity and Macrophage Polarity. Clin. Ther. 2023, 45, 1047–1054. [Google Scholar] [CrossRef]
- Lan, L.F.; Zheng, L.; Yang, X.; Ji, X.T.; Fan, Y.H.; Zeng, J.S. Peroxisome proliferator-activated receptor-γ agonist pioglitazone ameliorates white matter lesion and cognitive impairment in hypertensive rats. CNS Neurosci. Ther. 2015, 21, 410–416. [Google Scholar] [CrossRef]
- Yamamoto, Y.; Ihara, M. Disruption of transforming growth factor-β superfamily signaling: A shared mechanism underlying hereditary cerebral small vessel disease. Neurochem. Int. 2017, 107, 211–218. [Google Scholar] [CrossRef]
- Joutel, A.; Andreux, F.; Gaulis, S.; Domenga, V.; Cecillon, M.; Battail, N.; Piga, N.; Chapon, F.; Godfrain, C.; Tournier-Lasserve, E. The ectodomain of the Notch3 receptor accumulates within the cerebrovasculature of CADASIL patients. J. Clin. Invest. 2000, 105, 597–605. [Google Scholar] [CrossRef]
- Viitanen, M.; Sundström, E.; Baumann, M.; Poyhonen, M.; Tikka, S.; Behbahani, H. Experimental studies of mitochondrial function in CADASIL vascular smooth muscle cells. Exp. Cell Res. 2013, 319, 134–143. [Google Scholar] [CrossRef]
- Craggs, L.J.; Yamamoto, Y.; Deramecourt, V.; Kalaria, R.N. Microvascular pathology and morphometrics of sporadic and hereditary small vessel diseases of the brain. Brain Pathol. 2014, 24, 495–509. [Google Scholar] [CrossRef] [PubMed]
- Elahi, F.M.; Wang, M.M.; Meschia, J.F. Cerebral Small Vessel Disease-Related Dementia: More Questions Than Answers. Stroke 2023, 54, 648–660. [Google Scholar] [CrossRef]
- Ratelade, J.; Mezouar, N.; Domenga-Denier, V.; Rochey, A.; Plaisier, E.; Joutel, A. Severity of arterial defects in the retina correlates with the burden of intracerebral haemorrhage in COL4A1-related stroke. J. Pathol. 2018, 244, 408–420. [Google Scholar] [CrossRef]
- Branyan, K.; Labelle-Dumais, C.; Wang, X.; Hayashi, G.; Lee, B.; Peltz, Z.; Gorman, S.; Li, B.Q.; Mao, M.; Gould, D.B. Elevated TGFβ signaling contributes to cerebral small vessel disease in mouse models of Gould syndrome. Matrix Biol. 2023, 115, 48–70. [Google Scholar] [CrossRef]
- Yamasaki, E.; Thakore, P.; Ali, S.; Sanchez Solano, A.; Wang, X.; Gao, X.; Labelle-Dumais, C.; Chaumeil, M.M.; Gould, D.B.; Earley, S. Impaired intracellular Ca(2+) signaling contributes to age-related cerebral small vessel disease in Col4a1 mutant mice. Sci Signal 2023, 16, eadi3966. [Google Scholar] [CrossRef]
- Zhang, F.; Guo, X.; Xia, Y.; Mao, L. An update on the phenotypic switching of vascular smooth muscle cells in the pathogenesis of atherosclerosis. Cell. Mol. Life Sci. 2021, 79, 6. [Google Scholar] [CrossRef] [PubMed]
- Liu, N.; Xue, Y.; Tang, J.; Zhang, M.; Ren, X.; Fu, J. The dynamic change of phenotypic markers of smooth muscle cells in an animal model of cerebral small vessel disease. Microvasc. Res. 2021, 133, 104061. [Google Scholar] [CrossRef] [PubMed]
- Li, C.C.; Chen, W.X.; Wang, J.; Xia, M.; Jia, Z.C.; Guo, C.; Tang, X.Q.; Li, M.X.; Yin, Y.; Liu, X.; et al. Nicotinamide riboside rescues angiotensin II-induced cerebral small vessel disease in mice. CNS Neurosci. Ther. 2020, 26, 438–447. [Google Scholar] [CrossRef] [PubMed]
- Hu, Z.; Deng, X.; Zhou, S.; Zhou, C.; Shen, M.; Gao, X.; Huang, Y. Pathogenic mechanisms and therapeutic implications of extracellular matrix remodelling in cerebral vasospasm. Fluids Barriers CNS 2023, 20, 81. [Google Scholar] [CrossRef]
- Ito, H.; Kwan, C.Y.; Daniel, E.E. Elastin and elastase-like enzyme change in aorta of rat with malignant hypertension. Exp. Mol. Pathol. 1987, 47, 26–36. [Google Scholar] [CrossRef]
- Intengan, H.D.; Deng, L.Y.; Li, J.S.; Schiffrin, E.L. Mechanics and composition of human subcutaneous resistance arteries in essential hypertension. Hypertension 1999, 33, 569–574. [Google Scholar] [CrossRef] [PubMed]
- Pushpakumar, S.B.; Kundu, S.; Metreveli, N.; Tyagi, S.C.; Sen, U. Matrix Metalloproteinase Inhibition Mitigates Renovascular Remodeling in Salt-Sensitive Hypertension. Physiol Rep 2013, 1, e00063. [Google Scholar] [CrossRef]
- Liu, N.; Tang, J.; Xue, Y.; Mok, V.; Zhang, M.; Ren, X.; Wang, Y.; Fu, J. EP3 Receptor Deficiency Improves Vascular Remodeling and Cognitive Impairment in Cerebral Small Vessel Disease. Aging Dis. 2022, 13, 313–328. [Google Scholar] [CrossRef]
- Dupré, N.; Gueniot, F.; Domenga-Denier, V.; Dubosclard, V.; Nilles, C.; Hill-Eubanks, D.; Morgenthaler-Roth, C.; Nelson, M.T.; Keime, C.; Danglot, L.; et al. Protein aggregates containing wild-type and mutant NOTCH3 are major drivers of arterial pathology in CADASIL. J. Clin. Invest. 2024, 134, e175789. [Google Scholar] [CrossRef]
- Jeanne, M.; Gould, D.B. Genotype-phenotype correlations in pathology caused by collagen type IV alpha 1 and 2 mutations. Matrix Biol. 2017, 57-58, 29–44. [Google Scholar] [CrossRef]
- Wong, S.M.; Backes, W.H.; Drenthen, G.S.; Zhang, C.E.; Voorter, P.; Staals, J.; van Oostenbrugge, R.J.; Jansen, J. Spectral Diffusion Analysis of Intravoxel Incoherent Motion MRI in Cerebral Small Vessel Disease. J Magn Reson Imaging 2020, 51, 1170–1180. [Google Scholar] [CrossRef]
- Yang, Q.; Wei, X.; Deng, B.; Chang, Z.; Jin, D.; Huang, Y.; Zhang, J.H.; Yenari, M.A.; Jin, K.; Wang, Q. Cerebral small vessel disease alters neurovascular unit regulation of microcirculation integrity involved in vascular cognitive impairment. Neurobiol. Dis. 2022, 170, 105750. [Google Scholar] [CrossRef] [PubMed]
- Zhang, M.; Tang, J.; Xia, D.; Xue, Y.; Ren, X.; Huang, Q.; Shi, L.; Tang, W.; Fu, J. Evaluation of glymphatic-meningeal lymphatic system with intravenous gadolinium-based contrast-enhancement in cerebral small-vessel disease. Eur. Radiol. 2023, 33, 6096–6106. [Google Scholar] [CrossRef] [PubMed]
- Ang, P.S.; Zhang, D.M.; Azizi, S.A.; Norton de Matos, S.A.; Brorson, J.R. The glymphatic system and cerebral small vessel disease. J Stroke Cerebrovasc Dis 2024, 33, 107557. [Google Scholar] [CrossRef]
- Mortensen, K.N.; Sanggaard, S.; Mestre, H.; Lee, H.; Kostrikov, S.; Xavier, A.; Gjedde, A.; Benveniste, H.; Nedergaard, M. Impaired Glymphatic Transport in Spontaneously Hypertensive Rats. J. Neurosci. 2019, 39, 6365–6377. [Google Scholar] [CrossRef]
- Chang, H.I.; Huang, C.W.; Hsu, S.W.; Huang, S.H.; Lin, K.J.; Ho, T.Y.; Ma, M.C.; Hsiao, W.C.; Chang, C.C. Gray matter reserve determines glymphatic system function in young-onset Alzheimer's disease: Evidenced by DTI-ALPS and compared with age-matched controls. Psychiatry Clin. Neurosci. 2023, 77, 401–409. [Google Scholar] [CrossRef] [PubMed]
- Wei, Y.C.; Hsu, C.H.; Huang, W.Y.; Lin, C.; Chen, C.K.; Chen, Y.L.; Chen, P.Y.; Shyu, Y.C.; Lin, C.P. Vascular risk factors and astrocytic marker for the glymphatic system activity. Radiol. Med. 2023, 128, 1148–1161. [Google Scholar] [CrossRef] [PubMed]
- Tian, Y.; Cai, X.; Zhou, Y.; Jin, A.; Wang, S.; Yang, Y.; Mei, L.; Jing, J.; Li, S.; Meng, X.; et al. Impaired glymphatic system as evidenced by low diffusivity along perivascular spaces is associated with cerebral small vessel disease: a population-based study. Stroke Vasc Neurol 2023, 8, 413–423. [Google Scholar] [CrossRef]
- Hoiland, R.L.; Fisher, J.A.; Ainslie, P.N. Regulation of the Cerebral Circulation by Arterial Carbon Dioxide. Comprehensive Physiology 2019, 9, 1101–1154. [Google Scholar]
- Blair, G.W.; Thrippleton, M.J.; Shi, Y.; Hamilton, I.; Stringer, M.; Chappell, F.; Dickie, D.A.; Andrews, P.; Marshall, I.; Doubal, F.N.; et al. Intracranial hemodynamic relationships in patients with cerebral small vessel disease. Neurology 2020, 94, e2258–e2269. [Google Scholar] [CrossRef]
- Sleight, E.; Stringer, M.S.; Clancy, U.; Arteaga, C.; Jaime Garcia, D.; Hewins, W.; Jochems, A.; Hamilton, O.; Manning, C.; Morgan, A.G.; et al. Cerebrovascular Reactivity in Patients With Small Vessel Disease: A Cross-Sectional Study. Stroke 2023, 54, 2776–2784. [Google Scholar] [CrossRef] [PubMed]
- Claassen, J.; Thijssen, D.; Panerai, R.B.; Faraci, F.M. Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation. Physiol. Rev 2021, 101, 1487–1559. [Google Scholar] [CrossRef] [PubMed]
- Dabertrand, F.; Krøigaard, C.; Bonev, A.D.; Cognat, E.; Dalsgaard, T.; Domenga-Denier, V.; Hill-Eubanks, D.C.; Brayden, J.E.; Joutel, A.; Nelson, M.T. Potassium channelopathy-like defect underlies early-stage cerebrovascular dysfunction in a genetic model of small vessel disease. Proc. Natl. Acad. Sci. U. S. A 2015, 112, E796–805. [Google Scholar] [CrossRef]
- Belin de Chantemèle, E.J.; Retailleau, K.; Pinaud, F.; Vessières, E.; Bocquet, A.; Guihot, A.L.; Lemaire, B.; Domenga, V.; Baufreton, C.; Loufrani, L.; et al. Notch3 is a major regulator of vascular tone in cerebral and tail resistance arteries. Arterioscler. Thromb. Vasc. Biol. 2008, 28, 2216–2224. [Google Scholar] [CrossRef]
- Cauli, B.; Hamel, E. Revisiting the role of neurons in neurovascular coupling. Frontiers in neuroenergetics 2010, 2, 9. [Google Scholar] [CrossRef]
- Guerra, G.; Lucariello, A.; Perna, A.; Botta, L.; De Luca, A.; Moccia, F. The Role of Endothelial Ca(2+) Signaling in Neurovascular Coupling: A View from the Lumen. Int. J. Mol. Sci. 2018, 19, 938. [Google Scholar] [CrossRef]
- Yang, S.; Webb, A. Associations between neurovascular coupling and cerebral small vessel disease: A systematic review and meta-analysis. Eur Stroke J 2023, 8, 895–903. [Google Scholar] [CrossRef] [PubMed]
- Dupré, N.; Drieu, A.; Joutel, A. Pathophysiology of cerebral small vessel disease: a journey through recent discoveries. J. Clin. Invest. 2024, 134, e172841. [Google Scholar] [CrossRef]
- Joutel, A. Pathogenesis of CADASIL: transgenic and knock-out mice to probe function and dysfunction of the mutated gene, Notch3, in the cerebrovasculature. Bioessays 2011, 33, 73–80. [Google Scholar] [CrossRef] [PubMed]
- Harrison, D.G. Cellular and molecular mechanisms of endothelial cell dysfunction. J. Clin. Invest. 1997, 100, 2153–2157. [Google Scholar] [CrossRef]
- Förstermann, U.; Closs, E.I.; Pollock, J.S.; Nakane, M.; Schwarz, P.; Gath, I.; Kleinert, H. Nitric oxide synthase isozymes. Characterization, purification, molecular cloning, and functions. Hypertension 1994, 23, 1121–1131. [Google Scholar] [CrossRef]
- Uchida, H.; Sakata, H.; Fujimura, M.; Niizuma, K.; Kushida, Y.; Dezawa, M.; Tominaga, T. Experimental model of small subcortical infarcts in mice with long-lasting functional disabilities. Brain Res 2015, 1629, 318–328. [Google Scholar] [CrossRef]
- Craggs, L.J.; Fenwick, R.; Oakley, A.E.; Ihara, M.; Kalaria, R.N. Immunolocalization of platelet-derived growth factor receptor-β (PDGFR-β) and pericytes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Neuropathol. Appl. Neurobiol. 2015, 41, 557–570. [Google Scholar] [CrossRef] [PubMed]
- Douguet, D.; Patel, A.; Xu, A.; Vanhoutte, P.M.; Honoré, E. Piezo Ion Channels in Cardiovascular Mechanobiology. Trends Pharmacol. Sci. 2019, 40, 956–970. [Google Scholar] [CrossRef]
- Storch, U.; Mederos y Schnitzler, M.; Gudermann, T. G protein-mediated stretch reception. Am. J. Physiol. Heart Circ. Physiol. 2012, 302, H1241–1249. [Google Scholar] [CrossRef]
- Michalakis, S.; Becirovic, E.; Biel, M. Retinal Cyclic Nucleotide-Gated Channels: From Pathophysiology to Therapy. Int. J. Mol. Sci. 2018, 19, 749. [Google Scholar] [CrossRef] [PubMed]
- Morla, A.O.; Mogford, J.E. Control of smooth muscle cell proliferation and phenotype by integrin signaling through focal adhesion kinase. Biochem. Biophys. Res. Commun. 2000, 272, 298–302. [Google Scholar] [CrossRef] [PubMed]
- Pauls, M.; Binnie, L.R.; Benjamin, P.; Betteridge, S.; Clarke, B.; Dhillon, M.K.; Ghatala, R.; Hainsworth, F.; Howe, F.A.; Khan, U.; et al. The PASTIS trial: Testing tadalafil for possible use in vascular cognitive impairment. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022, 18, 2393–2402. [Google Scholar]
- Kim, B.C.; Youn, Y.C.; Jeong, J.H.; Han, H.J.; Kim, J.H.; Lee, J.H.; Park, K.H.; Park, K.W.; Kim, E.J.; Oh, M.S.; et al. Cilostazol Versus Aspirin on White Matter Changes in Cerebral Small Vessel Disease: A Randomized Controlled Trial. Stroke 2022, 53, 698–709. [Google Scholar] [CrossRef] [PubMed]
- Wardlaw, J.M.; Woodhouse, L.J.; Mhlanga, I.I.; Oatey, K.; Heye, A.K.; Bamford, J.; Cvoro, V.; Doubal, F.N.; England, T.; Hassan, A.; et al. Isosorbide Mononitrate and Cilostazol Treatment in Patients With Symptomatic Cerebral Small Vessel Disease: The Lacunar Intervention Trial-2 (LACI-2) Randomized Clinical Trial. JAMA Neurol 2023, 80, 682–692. [Google Scholar] [CrossRef]
|
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. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).