Submitted:
17 October 2026
Posted:
19 October 2026
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Abstract
Alzheimer’s disease (AD) affects women more than men, with risk increasing during and after the menopausal transition. Estrogen deficiency has long been a leading explanation for this sex difference, but emerging evidence suggests that follicle-stimulating hormone (FSH) may represent an additional, contributory endocrine factor. This narrative and mechanistic review integrates evidence on reproductive aging, AD pathobiology, and sex differences in AD, with particular emphasis on endocrine, metabolic, protein-clearance, inflammatory, and vascular mechanisms. PubMed and Google Scholar were searched for peer-reviewed human studies, animal models, and mechanistic investigations published through September 2026, prioritizing primary research and systematic reviews concerning FSH signaling, ApoE biology, and AD pathophysiology. Circulating FSH rises markedly across the menopausal transition and has been associated with cerebral amyloid burden in women, although the magnitude of this association is modest relative to established genetic risk factors such as APOE ε4 and causal directionality has not been established in humans. Preclinical studies further suggest that elevated FSH may influence pathways relevant to AD, including C/EBPβ–δ-secretase signaling, neuronal glucose metabolism, mitochondrial function, autophagic-lysosomal clearance, and apolipoprotein biology. Several steps within these proposed mechanisms, including the predominance of Gαi coupling by neuronal FSH receptors and any direct FSH action on microglia, remain incompletely established. Dysregulation across these interrelated systems may contribute to Aβ accumulation, tau pathology, impaired protein clearance, and chronic neuroinflammation, while reproductive aging is also associated with vascular and blood-brain barrier changes that may precede classical AD pathology. Taken together, current evidence supports a model in which sustained FSH elevation may act as one component of the broader biological changes accompanying reproductive aging that influence AD vulnerability. Further human and mechanistic studies are needed to determine the magnitude, cellular pathways, and therapeutic relevance of this contribution.

Keywords:
Alzheimer’s disease
; reproductive aging
; follicle-stimulating hormone
; apolipoprotein E
; menopause
; neurodegeneration
Introduction
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia worldwide, and it presents an urgent public health concern. In the United States, approximately one in nine persons aged 65 years and older (10.8%) have AD, and each year an additional 1,275 per 100,000 persons develop the disease (Zhang et al., 2024). AD is a clinical diagnosis with primary features of amnestic cognitive impairment. Signs and symptoms may begin as early-onset depression, anxiety, social withdrawal, and sleep disturbance, which over time can develop into disabling and progressive memory loss, neuropsychiatric symptoms such as hallucinations and delusions, and behavioral dysregulation. In a subset of cases, AD may present with non-amnestic symptoms, including memory impairment with relative sparing of other domains, which may involve visuospatial processing, language, executive function, or motor dysfunction.
AD is broadly classified as familial and sporadic. Familial AD (FAD) represents about 1-5% of cases and is typically caused by autosomal dominant mutations in APP, PS1, and PS2. The onset of FAD symptoms usually occurs between 30 and 65 years of age, and disease progression is rapid (Liu et al., 2019). Sporadic or late-onset AD (SAD) makes up over 95% of AD cases and generally has a later age of onset, after 65 years old, and is a multifactorial consequence of polygenic risk, environmental exposures, and medical comorbidities (Fedele, 2023; Suresh et al., 2023).
Major risk factors for late-onset AD include older age, female sex, and APOE genotype (Riedel et al., 2016). In the United States, nearly two-thirds of individuals with AD are women, and the majority of cases occur after 65 years old (Alzheimer’s Association, 2024). The increased risk among women is likely due to a complex coordination of changes in endocrine and neurobiological systems that occurs with reproductive aging. Age-related declines in levels of circulating estrogen and progesterone, along with changes in gonadotropins and other hypothalamic signaling peptides (e.g., FSH, LH, GnRH), correspond with objective alterations in brain structure and function. Reductions in bioavailable estrogen have been associated with a higher risk of global cognitive decline and deficits in verbal memory (Laughlin et al., 2010; Zsido et al., 2019). Peri- and postmenopausal women also experience faster rates of cognitive decline compared to men, as well as greater loss of hippocampal volume (Mosconi et al., 2018). Moreover, vasomotor symptoms, such as night-time hot flashes, have been associated with impaired memory performance and higher levels of amyloid biomarkers (Maki et al., 2008; Thurston et al., 2024).
Critically, however, reproductive aging is also associated with an accumulation of other hormonal changes in addition to estrogen decline. Among these, the progressive elevation of FSH has emerged as another potential contributor to age-related pathology. Chronically high levels of FSH have been associated with several chronic disorders, including AD, osteoporosis, cardiovascular dysfunction, and metabolic abnormalities (Lizneva et al., 2019). These findings suggest that FSH may play an active endocrine role in age-related changes across multiple physiological systems, in addition to serving as a compensatory biomarker of ovarian insufficiency.
Prior reviews of sex differences in AD have focused predominantly on estrogen deficiency as the primary endocrine driver of female vulnerability (Lopez-Lee et al., 2024; Scheyer et al., 2018; W. A. Rocca et al., 2024), while reviews of FSH biology have largely addressed its reproductive and metabolic roles in peripheral tissues (Lizneva et al., 2019). To date, no review has systematically examined the convergence of FSH signaling, ApoE isoform biology, and the upstream cellular dysregulation - including mitochondrial dysfunction, autophagic impairment, neuroinflammation, and blood-brain barrier disruption - that may collectively link reproductive aging to AD pathogenesis. A specific and underexamined question in this context is whether FSH elevation constitutes an independent, mechanistically active contributor to neurodegeneration, rather than merely a correlate of declining ovarian function. The present review addresses this gap by synthesizing mechanistic evidence across these intersecting domains, with particular attention to how FSH and ApoE4 interactions may compound neurodegenerative risk in aging women.
In this review, the mechanistic pathways through which chronically elevated FSH may contribute to downstream pathological changes relevant to AD are discussed, along with the potential therapeutic implications of FSH modulation.
Methods
This narrative review of the peer-reviewed literature explores mechanistic links between reproductive aging, FSH signaling, ApoE biology, and AD pathogenesis. The narrative review format was deemed appropriate for the stated aim, which is to integrate mechanistic and translational evidence across intersecting biological fields, rather than to quantitatively summarize a well-defined set of primary studies.
Literature Search
PubMed and Google Scholar were searched for relevant peer-reviewed literature through September 18, 2026. Search terms used included, in various combinations, “follicle-stimulating hormone,” “FSH,” “reproductive aging,” “menopause,” “Alzheimer’s disease,” “neurodegeneration,” “ApoE,” “apolipoprotein E,” “APOE4,” “C/EBPβ,” “delta-secretase,” “mitochondrial dysfunction,” “autophagy,” “neuroinflammation,” “blood-brain barrier,” “BBB,” “amyloid-beta,” and “tau.” Reference lists of retrieved articles were also manually screened to identify additional relevant studies.
Inclusion and Exclusion Criteria
Criteria for inclusion of studies in the review consisted of a focus on FSH signaling, ApoE biology, or reproductive aging as it relates to neurodegeneration or AD-relevant cellular pathways. Eligible studies for review were peer reviewed original research articles, systematic reviews and meta-analyses, and mechanistic studies in human, animal or cell based models. Only articles in English were included. Articles within the past 15 years were prioritized, in order to capture the current state of the field and shifting hypotheses where applicable. However, no formal date restriction was applied, and where appropriate core mechanistic or epidemiological claims were supplemented with seminal studies outside of this window.
Study Quality and Synthesis Approach
The studies included in this review span epidemiological cohorts, clinical investigations, genetically modified animal models, and mechanistic cell-based studies. Given this heterogeneity and the narrative design of the review, a formal risk-of-bias assessment was not performed. For clinical associations, greater weight was given to human studies with well-characterized cohorts, biomarker-based outcomes, longitudinal designs, or independent replication. For mechanistic inference, greater weight was placed on primary experimental studies involving direct manipulation of FSH, FSHR, ApoE, or the signaling pathways under discussion. Animal and cell-based studies were used primarily to establish biological plausibility and were not treated as sufficient evidence of causality in humans. Where findings conflicted, differences in study population, model system, sample size, disease stage, and experimental design were considered when interpreting the evidence. Mechanisms supported primarily by preclinical or indirect evidence are identified in the text as proposed or incompletely established.
Overview of Canonical Cellular Alterations Underlying Neurodegeneration in Alzheimer’s Disease
Cholinergic Hypothesis
The cholinergic hypothesis is one of the first proposed models for AD pathogenesis. The basis of the hypothesis is the selective loss of cholinergic neurons that originate in the nucleus basalis of Meynert (NBM) that results in decreased choline acetyltransferase (ChAT) activity and subsequent decrease in acetylcholine synthesis, leading to cortical cholinergic dysfunction (Berry & Harrison, 2023). The cholinergic deficits in the cerebral cortex are accompanied by a significant increase in the deposition of senile plaques in these same regions (Serrano-Pozo et al., 2011). Overall, this hypothesis represents a model in which there is a clear link between basal forebrain cholinergic dysfunction and AD cognitive deficits (Hampel et al., 2019). The NBM, in addition to the medial septum and diagonal band of Broca (MS/DBB) project cholinergic innervation throughout the cerebral cortex and are some of the first regions to undergo neuronal degeneration (Schmitz et al., 2018).
Figure 1.
Cholinergic projections originate from the basal forebrain nuclei (medial septum, abbreviated as MS, vertical limb of diagonal band of Broca, abbreviated as vDB, nucleus basalis of Meynert, abbreviated as NBM, and substantia innominata, abbreviated as SI), which project widely to the hippocampus, thalamus, olfactory bulb and cortical areas. Simultaneously, cholinergic neurons of the pontomesencephalon (laterodorsal tegmental nucleus, abbreviated as LDT and pedunculopontine tegmental nucleus, abbreviated as PPT) project to the hindbrain, thalamus, hypothalamus and basal forebrain, which are thought to be important for the regulation of arousal and behavioural state. The NBM and MS-DBB are two of the first regions in the brain to be selectively affected by neurodegeneration in Alzheimer’s disease and the loss of cholinergic innervation to the hippocampus and cortex is responsible for the deficits in memory and attention. Arrow thickness and color are for illustrative purposes and should not be assumed to be quantitative differences in projection density. Reproduced from Paul et al. (2015) under the Creative Commons Attribution License (CC BY).
Figure 1.
Cholinergic projections originate from the basal forebrain nuclei (medial septum, abbreviated as MS, vertical limb of diagonal band of Broca, abbreviated as vDB, nucleus basalis of Meynert, abbreviated as NBM, and substantia innominata, abbreviated as SI), which project widely to the hippocampus, thalamus, olfactory bulb and cortical areas. Simultaneously, cholinergic neurons of the pontomesencephalon (laterodorsal tegmental nucleus, abbreviated as LDT and pedunculopontine tegmental nucleus, abbreviated as PPT) project to the hindbrain, thalamus, hypothalamus and basal forebrain, which are thought to be important for the regulation of arousal and behavioural state. The NBM and MS-DBB are two of the first regions in the brain to be selectively affected by neurodegeneration in Alzheimer’s disease and the loss of cholinergic innervation to the hippocampus and cortex is responsible for the deficits in memory and attention. Arrow thickness and color are for illustrative purposes and should not be assumed to be quantitative differences in projection density. Reproduced from Paul et al. (2015) under the Creative Commons Attribution License (CC BY).

ACh is synthesized in cholinergic neurons by the catalytic action of choline acetyltransferase (ChAT) on choline and acetyl-coenzyme A. ACh is loaded into synaptic vesicles by the vesicular acetylcholine transporter (VAChT) and is released from presynaptic terminals into the synaptic cleft upon presynaptic depolarization. ACh diffuses across the synaptic cleft and can bind to mAChRs and nAChRs on the postsynaptic cell (Paul et al., 2022). ACh signaling is terminated primarily by rapid enzymatic degradation of ACh by AChE to form choline. The choline is then taken back up by the presynaptic neuron (Berry & Harrison, 2023; Stanciu et al., 2019). Alterations in ChAT expression or activity cause a deficiency of ACh that can result in decreased cholinergic signaling. Cholinergic signaling deficits can influence a range of physiological processes that are modulated by cholinergic signaling, including cognitive function, attention, motor behaviors, and sleep-wake regulation (Walczak-Nowicka & Herbet, 2021).
Aβ
Amyloid precursor protein (APP) is a type I transmembrane glycoprotein that undergoes sequential cleavage in the amyloidogenic pathway by β-secretase and γ-secretase (Castellani et al., 2025). The γ-secretase complex is a multiprotein intramembrane protease containing either presenilin 1 (PS1) or presenilin 2 (PS2) as its catalytic subunit. Amyloidogenic processing produces Aβ peptides of varying lengths, most notably Aβ40 and Aβ42. Aβ42 has a greater propensity for β-sheet formation and fibrillogenesis because of its hydrophobic C-terminal region and is a major component of the senile plaques characteristic of AD (Lin et al., 2019).
The amyloid cascade hypothesis has remained a central model of AD pathogenesis, in part because of genetic evidence from familial disease. Mutations in APP on chromosome 21 cause autosomal dominant AD, while trisomy 21 is associated with the development of AD neuropathology with advancing age. Importantly, rare individuals with partial trisomy 21 that does not include APP appear to be spared this characteristic early amyloid pathology, further implicating APP dosage in disease development (Wiseman et al., 2015). Conversely, APP variants associated with reduced Aβ production have been linked to protection against age-related cognitive decline (Castellani et al., 2025).
Figure 2.
Acetylcholine release and synaptic signaling. Diagram of cholinergic neurotransmission including (1) Ca²⁺-dependent exocytotic release of ACh from presynaptic vesicles, (2) activation of postsynaptic mAChRs and nAChRs by ACh to cause depolarization, and (3) hydrolysis of ACh by acetylcholinesterase (AChE) followed by reuptake of the choline moiety into the presynaptic cell via the high-affinity choline transporter. Impairments in this cycle, most notably reduced ChAT activity and ACh production, are well-known aspects of Alzheimer’s disease and the rationale for cholinesterase inhibitor therapy. Reproduced from Stanciu et al. (2019) under CC BY 4.0.
Figure 2.
Acetylcholine release and synaptic signaling. Diagram of cholinergic neurotransmission including (1) Ca²⁺-dependent exocytotic release of ACh from presynaptic vesicles, (2) activation of postsynaptic mAChRs and nAChRs by ACh to cause depolarization, and (3) hydrolysis of ACh by acetylcholinesterase (AChE) followed by reuptake of the choline moiety into the presynaptic cell via the high-affinity choline transporter. Impairments in this cycle, most notably reduced ChAT activity and ACh production, are well-known aspects of Alzheimer’s disease and the rationale for cholinesterase inhibitor therapy. Reproduced from Stanciu et al. (2019) under CC BY 4.0.

Mutations in PS1 and PS2 provide additional evidence linking amyloidogenic processing to familial AD. However, PS1-associated disease can exhibit pathological features that are not necessarily representative of sporadic AD (Heilig et al., 2010). Increased insoluble Aβ is nevertheless observed in both familial and sporadic forms of the disease compared with non-pathological controls (van Helmond et al., 2010; Wang et al., 1999).
Whether Aβ accumulation alone is sufficient to account for the full clinical and pathological features of AD remains under debate (Castellani et al., 2025). Nonetheless, dysregulation of Aβ metabolism and deposition remains closely linked to AD pathogenesis. Aβ accumulation occurs within a broader network of age-related changes in protein homeostasis, metabolism, inflammation, and cellular signaling, and its precise position within the temporal and mechanistic hierarchy of AD remains an area of active investigation (Castellani et al., 2025; Riku et al., 2025).
Tau
Tau is highly expressed in axons and more weakly in dendrites, soma, and glia (Sinsky et al., 2021; Wei et al., 2022). Tau is highly enriched in numerous phosphorylation sites in the N-terminal region, C-terminal domain, and microtubule-binding repeats. Tau phosphorylation is regulated by coordinated activity of kinases and phosphatases to maintain physiological steady-state levels in cells (Noble et al., 2013).
Loss of regulation of tau phosphorylation leads to hyperphosphorylation, which weakens tau binding to microtubules and causes tau to detach (Bjørklund et al., 2019; Almansoub et al., 2019). Detached tau molecules are misfolded and redistributed from the axon to the somatodendritic compartment, where tau oligomerizes to form soluble oligomeric intermediates. These intermediates can eventually form paired helical filaments (PHFs) and finally neurofibrillary tangles (NFTs) that are hallmarks of tauopathies and that are found in neuronal cell bodies and dendrites (Lo et al., 2020; Robbins et al., 2021).
Tau pathology accumulates in synaptically connected networks and spreads through the brain in an early stage that impairs synaptic transmission and axonal transport in a manner that is detectable prior to formation of tangles. This progressive accumulation can be described by Braak staging (Therriault et al., 2022) and may underlie a network-based propagation mechanism that precedes synaptic loss, axonal degeneration, neuronal death, and ultimately cognitive decline (Lo et al., 2020; Wu et al., 2017; Yin et al., 2021). Importantly, tau pathology burden is more closely associated with memory and neurodegeneration than Aβ (Doering et al., 2024; Iaccarino et al., 2017; Lamontagne-Kam et al., 2023).
Tau is also subject to a number of other post-translational modifications including truncation, glycosylation, glycation, acetylation, methylation, and sumoylation. Many of these modifications affect tau structure, aggregation propensity, or trafficking (Alquézar et al., 2021). The vast majority of tau modifications take place on lysine residues and impact protein turnover. In particular, ubiquitination of lysine residues often marks tau for proteasomal degradation. Ubiquitination is in competition with acetylation or methylation modifications on the same lysine residues that block ubiquitin attachment and thus can prevent clearance (Luo et al., 2014; Kontaxi et al., 2017). Indeed, lysine 254 (K254) is preferentially methylated in fibrillar tau, indicating that site-specific methylation can block degradation and contribute to persistence of tau species (Thomas et al., 2012).
As will be discussed in more detail in the following sections, accumulation of tau and Aβ, as well as the disruptions in neurotransmission that result, are a downstream consequence of perturbations in upstream processes that are exacerbated by age-related and reproductive aging–associated changes.
Endocrine Contributors to Female Alzheimer’s Disease Vulnerability
Follicle-Stimulating Hormone and Its Role in Alzheimer’s Disease Pathogenesis
The menopausal transition is characterized not only by declining ovarian estradiol production, but also by a sustained increase in circulating follicle-stimulating hormone (FSH). Although estrogen loss has historically received much of the attention as a potential endocrine contributor to female Alzheimer’s disease (AD) vulnerability, an increasing body of evidence suggests that elevated FSH may represent an additional, independently relevant source of neurodegenerative risk (Scheyer et al., 2018; Nerattini, Rubino, et al., 2023; Wood Alexander et al., 2026).
Experimental studies provide mechanistic support for this possibility. In mouse models, FSH blockade reduces Aβ and tau pathology and improves cognitive performance, while FSH and ApoE4 have been shown to converge on C/EBPβ-δ-secretase signaling (Xiong et al., 2022; Xiong et al., 2023). These findings suggest that sustained FSH elevation during reproductive aging may actively contribute to AD-related pathology, rather than simply serving as a biomarker of declining ovarian function.
Recent human studies have further distinguished the associations of FSH and estradiol with AD-related outcomes. In a cohort of 884 postmenopausal women aged 60 years or older, Wang et al. (2026) found that circulating FSH levels were highest in women with AD dementia, intermediate in those with mild cognitive impairment, and lowest in cognitively normal participants. Higher FSH was also associated with poorer cognitive performance and greater cerebral Aβ deposition, whereas circulating estradiol showed no statistically significant association with either outcome. Among the 367 participants who underwent amyloid PET imaging, FSH was positively associated with global Aβ burden and deposition across several cortical regions, including the frontal, parietal, and temporal cortices. These findings suggest that FSH may be associated with AD-related pathology independently of concurrent circulating estradiol levels.
The magnitude of this association, however, was considerably smaller than that observed for APOE ε4. In multivariable models of global amyloid burden, the standardized effect associated with FSH was substantially smaller than that associated with APOE ε4 (β = 0.169 for FSH versus β = 0.653 for APOE ε4), with the overall model explaining approximately 12.4% of the variance. A similar difference was evident for Aβ positivity, where the odds ratio was approximately 1.03 per unit increase in FSH, compared with approximately 5.16 for APOE ε4 (Wang et al., 2026). The association between FSH and amyloid positivity was also observed in both APOE ε4 carriers and noncarriers, without a significant interaction between FSH and genotype. Taken together, these findings are more consistent with FSH acting as an additional factor associated with amyloid pathology than as a determinant of risk on the same scale as APOE ε4.
Along these lines, Wang et al. (2026) found that the relationship between FSH and cognition was statistically mediated by cerebral Aβ burden. Higher FSH was associated with greater amyloid deposition, which was in turn associated with poorer cognitive performance, while the direct association between FSH and cognition was no longer significant after adjustment. This pattern is compatible with a model in which FSH influences cognition indirectly through downstream AD-related pathology, although the cross-sectional nature of the study prevents conclusions about the direction or causality of that relationship.
Additional evidence linking FSH to biological changes associated with brain aging and AD comes from a recent Nature Medicine proteomic study by Wood Alexander et al. (2026). The researchers identified 16 circulating proteins that were elevated in postmenopausal women, including proteins involved in inflammation, cellular metabolism, synaptic function, and AD-related processes. These proteins were used to construct a menopause proteomic score, which was then examined in relation to circulating reproductive hormone levels. In age-adjusted analyses, the score was positively associated with FSH (β = 1.29) and inversely associated with estradiol (β = −0.89). However, when FSH, estradiol, and progesterone were included in the same multivariable model, only FSH retained a statistically significant association with the proteomic score (β = 1.13, P = 0.0005). Furthermore, higher FSH levels were associated with several proteins relevant to AD pathology and neuronal function, including BACE1, ACHE, and CNTN2. These findings suggest that FSH may be more closely associated with menopause-related proteomic changes than circulating estradiol, including changes involving proteins implicated in neurodegeneration.
The relevance of these proteomic changes extended beyond the initial midlife cohort. In four independent cohorts of older women comprising 11,925 participants, higher menopause proteomic scores were associated with less favorable cognitive outcomes and dementia risk. The investigators also replicated broader menopause-associated proteomic changes in an age-matched cohort of 2,814 women, identifying changes in inflammatory and catabolic processes alongside molecular signatures associated with accelerated organ aging, including brain aging. Although these analyses did not establish that FSH directly causes the observed protein changes or that those changes mediate subsequent cognitive decline, they provide further evidence that FSH may be associated with biological processes relevant to neurodegeneration independently of circulating estradiol. They also complement the findings of Wang et al. (2026), extending the discussion beyond cerebral amyloid deposition to a broader collection of inflammatory, metabolic, and neuronal proteins.
It is also worth noting that Nerattini, Rubino, et al. (2023) reported no significant association between circulating FSH and cognition, while the relationship between FSH and Aβ deposition was concentrated largely in the frontal cortex. Their cohort, however, differed meaningfully from that of Wang et al. (2026). Nerattini examined 191 cognitively unimpaired women aged 40-65 years, including 45 premenopausal, 67 perimenopausal, and 79 postmenopausal participants, whereas Wang studied 884 exclusively postmenopausal women aged 60 years or older, including individuals with mild cognitive impairment and AD dementia. Approximately half of the Nerattini cohort underwent amyloid PET imaging, compared with 367 participants in Wang’s study. The imaging analyses also differed, with Nerattini using voxel-based methods to identify regional associations and Wang examining global and regional amyloid burden alongside amyloid-positivity status. Notably, Nerattini also found that higher FSH was associated with lower frontal gray matter volume, providing evidence of an association with brain structural changes even in the absence of measurable cognitive impairment.
These differences may help explain why the two studies did not produce identical results, particularly with respect to cognition. The absence of a significant cognitive association in Nerattini’s younger, cognitively unimpaired cohort raises the possibility that FSH-associated pathological changes may be detectable before cognitive impairment becomes clinically apparent. However, this interpretation remains speculative, as neither study followed participants longitudinally to establish the temporal relationship between FSH elevation, amyloid accumulation, and subsequent cognitive decline. The findings nevertheless suggest that the relationship between FSH and cognition may depend on the broader pathological context, including tau accumulation, neurodegeneration, age, and disease stage. They are also consistent with the observation that Aβ burden itself does not correspond directly to the degree of cognitive impairment.
Collectively, the available evidence increasingly supports elevated FSH as a potentially independent contributor to AD pathogenesis, rather than simply a hormonal consequence of declining ovarian function. Recent human studies have found more consistent associations between FSH and AD-related outcomes than between circulating estradiol and those same outcomes, while experimental findings provide mechanistic evidence that FSH signaling can directly promote amyloid and tau pathology. Although the relative causal contributions of FSH elevation and estrogen loss remain unresolved in humans, these findings suggest that FSH may have a more substantial role in AD pathogenesis than previously recognized. The sections that follow describe several of the mechanisms through which elevated FSH may contribute to AD pathogenesis, including effects on cellular metabolism, ApoE biology, protein clearance, neuroinflammation, and vascular integrity.
Convergent Pathways of Ovarian and Neurobiological Aging
Historically, aging of the ovary and the brain have been considered as independent processes. Emerging data have linked these processes on a mechanistic level and on a systems-level, both processes are characterized by similar types of dysfunction. In this context, reproductive aging is considered a systemic neuroendocrine and immunometabolic transition instead of an ovarian phenomenon. In this framework, the decline of ovarian function and neural aging can be considered as two different aspects of one systemic dysregulation process. The ovaries and brain become more susceptible to chronic low-grade inflammation with age. In ovaries, this contributes to follicular loss, steroidogenesis and oocyte quality. In the brain, this contributes to microglial priming and astrocytic activation and is often noted before neurodegeneration is clinically apparent. This is not limited to neocortical areas, but also to neuroendocrine areas of the brain such as the hypothalamus. This can take the form of microglial activation and neuronal dysfunction in aging hypothalamus (Tang & Cai, 2013; Kermath et al., 2014; Zhang et al., 2013). In the hypothalamus, aging is associated with neurodegeneration that can affect more than just reproductive function. Hypothalamic dysfunction has been shown to contribute to cognitive and physical decline (Zhang et al., 2013). Changes in GnRH signals have been proposed to contribute to hypothalamic neurodegeneration, and may also play a role in hippocampal neurodegeneration, a common site of dysfunction in AD (Zhang et al., 2013). This loss of neurons in these brain regions was linked to decreased GnRH signal mediated by IKKβ/NF-κB and GnRH receptor activation. These data have implicated inflammaging as a common upstream process that is shared by both reproductive decline and neurodegeneration. Aging also results in a decline in multiple cellular maintenance programs, such as mitochondrial function and antioxidant response. These maintenance pathways are of particular importance in metabolically active cells, such as in the ovaries and neurons that have a higher demand for energy turnover. The impairment of these pathways leads to the accumulation of dysfunctional mitochondria, oxidative stress products, and misfolded proteins, all of which are commonly seen in ovaries with age, as well as neurodegeneration. Hormonal factors play a major role in the cross-talk between ovaries and the brain. While GnRH signal and FSH can have an adaptive impact on the ovaries under acute, cyclic conditions, elevated FSH in chronic states (as is the case in menopause) may have maladaptive effects on non-gonadal tissues. In this context, FSH can alter inflammatory responses, vascular function, and metabolic effects in non-gonadal tissues in a way that may contribute to neurobiological aging.
The Role of APOE Variants in AD Pathobiology
APOE is one of the most consistent genetic modifiers of AD risk. Carriers of one APOE ε4 allele have about 2-3-fold increased risk, while APOE ε4 homozygotes have ~10–12-fold increased risk (Ayton & Bush, 2021). ApoE protein is present in neuritic plaques, and the brains of APOE ε4 carriers have significantly more Aβ accumulation when compared with non-carriers (Baek et al., 2020). Multiple mechanistic studies implicate APOE ε4 in amyloid pathology in a variety of ways, including altered APP processing that may promote Aβ production, promotion of Aβ aggregation with both soluble and fibrillar Aβ, and disruption of Aβ clearance through several mechanisms such as disrupted glial uptake, enzymatic degradation, and decreased vascular efflux (Koutsodendris et al., 2022; Serrano-Pozo et al., 2021; Troutwine et al., 2022).
ApoE is the major cholesterol carrier in the CNS, where it is secreted primarily by astrocytes and microglia, with neuronal expression occurring under particular physiological and pathological conditions (Belaidi et al., 2025). Through its roles in lipid transport, membrane maintenance, cellular signaling, and the clearance of neurotoxic substrates such as Aβ, ApoE is an important regulator of neuronal and brain homeostasis (Islam et al., 2025). The human APOE gene has three common allelic variants - ε2, ε3, and ε4 - which encode the corresponding ApoE2, ApoE3, and ApoE4 protein isoforms. These variants differentially influence AD risk, with ε2 generally associated with lower risk, ε3 considered relatively neutral, and ε4 associated with increased risk. The magnitude of these associations, however, varies across populations and biological contexts and may be modified by factors such as sex and age (Stuchell-Brereton et al., 2023; Sun et al., 2023).
ApoE plays a role in Aβ clearance via vascular and cellular pathways. In the context of the blood-brain barrier, ApoE binds Aβ and forms Aβ-ApoE complexes that bind to lipoprotein receptors on the abluminal side of brain endothelial cells. These lipoprotein receptors include LDL receptor-related protein 1 (LRP1), the low-density lipoprotein receptor (LDLR), and very-low-density lipoprotein receptor (VLDLR) (Kanekiyo et al., 2013; Ruiz et al., 2005). ApoE2 and ApoE3 promote Aβ efflux primarily via LRP1-dependent mechanisms, which involves a fast rate of internalization and transcytosis into the circulation (Deane et al., 2008). ApoE4 shifts Aβ trafficking toward VLDLR-dependent pathways with a slower rate of clearance, leading to a higher propensity of brain retention and plaque formation.
In addition to vascular clearance, Aβ clearance occurs by cellular uptake from the interstitial fluid by glial cells. Aβ is then internalized in a complex with ApoE and transported to the lysosomes for degradation (Liu et al., 2026). Degradation of Aβ is then mediated by intralysosomal proteases such as neprilysin and the insulin-degrading enzyme (IDE). Clearance is also affected by the lipidation status of ApoE. Lipidated ApoE, which is regulated by ATP-binding cassette transporter A1 (ABCA1) among other factors, enhances cellular uptake and degradation of Aβ. In contrast, poorly lipidated ApoE is less efficient in Aβ clearance (Jiang et al., 2008).
The three common ApoE isoforms differ in two amino acid residues located at 112 and 158. These differences occur in the form of cysteine-to-arginine substitutions. ApoE2 has a cysteine residue at both sites, ApoE3 has cysteine at position 112 and arginine at position 158, and ApoE4 has arginine at both positions (Stuchell-Brereton et al., 2023). ApoE is known to have three functional domains. The N-terminal domain, which consists of residues 1-167, folds into a structurally conserved four-helix bundle domain. The hinge domain, which contains residues 168-205, links the helical bundle domain to the C-terminal domain. The C-terminal domain, which contains residues 206-299, has the most poorly understood structure and position (Frieden & Garai, 2013). Structural studies have resolved the ApoE helical bundle and generally report similar overall tertiary structures among the major isoforms (Wilson et al., 1991; Grimaldi et al., 2024)
Figure 3.
Isoform-dependent ApoE regulation of Aβ clearance kinetics and context-specific tau pathology. ApoE4 alters multi-compartment Aβ clearance kinetics - in part through lipoprotein receptors such as LRP1, LDLR, and HSPG - and results in impaired Aβ turnover, brain retention, and increased neuroinflammatory signaling. ApoE isoform relationships with tau pathology are context-specific and do not universally adhere to the canonical AD risk hierarchy: in primary tauopathy models (TauP301L and PSP) ApoE2 was associated with increased tau aggregation and hyperphosphorylation relative to ApoE3 or ApoE4 (ApoE2 > ApoE3 > ApoE4), while in the context of amyloid-β (as in AD) ApoE4 appeared to worsen tau-mediated neurodegeneration indirectly through mechanisms related to Aβ clearance and inflammation. Abbreviations: LRP1, low-density lipoprotein receptor-related protein 1; LDLR, low-density lipoprotein receptor; HSPG, heparan sulfate proteoglycan; BBB, blood-brain barrier; Aβ, amyloid-beta. Reproduced from Liu et al. (2026), Molecular Neurobiology, 63, 325, Springer Nature, with permission from Springer Nature Customer Service Centre GmbH. This material is not included under the CC BY license of this article.
Figure 3.
Isoform-dependent ApoE regulation of Aβ clearance kinetics and context-specific tau pathology. ApoE4 alters multi-compartment Aβ clearance kinetics - in part through lipoprotein receptors such as LRP1, LDLR, and HSPG - and results in impaired Aβ turnover, brain retention, and increased neuroinflammatory signaling. ApoE isoform relationships with tau pathology are context-specific and do not universally adhere to the canonical AD risk hierarchy: in primary tauopathy models (TauP301L and PSP) ApoE2 was associated with increased tau aggregation and hyperphosphorylation relative to ApoE3 or ApoE4 (ApoE2 > ApoE3 > ApoE4), while in the context of amyloid-β (as in AD) ApoE4 appeared to worsen tau-mediated neurodegeneration indirectly through mechanisms related to Aβ clearance and inflammation. Abbreviations: LRP1, low-density lipoprotein receptor-related protein 1; LDLR, low-density lipoprotein receptor; HSPG, heparan sulfate proteoglycan; BBB, blood-brain barrier; Aβ, amyloid-beta. Reproduced from Liu et al. (2026), Molecular Neurobiology, 63, 325, Springer Nature, with permission from Springer Nature Customer Service Centre GmbH. This material is not included under the CC BY license of this article.

The “domain interaction” model provides one explanation for the functional differences among ApoE isoforms (Mahley et al., 2009). In ApoE4, substitution of cysteine with arginine at position 112 alters the electrostatic environment of the N-terminal domain and promotes interactions between the N- and C-terminal regions. Importantly, these differences may be better understood in terms of altered conformational dynamics rather than a completely distinct static fold. Molecular-dynamics simulations have identified an ApoE4-specific misfolded intermediate arising from altered domain-domain interactions (Williams et al., 2015). Subsequent work demonstrated that these dynamic effects extend through the hinge region and influence functionally important regions involved in lipid and receptor binding (Williams et al., 2017). Complementary simulations of ApoE-Aβ interactions further showed that ApoE4, unlike ApoE2 or ApoE3, can populate a partially misfolded state following Aβ binding, associated with disruption and rearrangement of its salt-bridge network (Luo et al., 2010).
Figure 4.
Isoform-dependent conformational properties of apolipoprotein E (ApoE). Schematic representation of the structural tendencies of ApoE2, ApoE3, and ApoE4 arising from amino acid differences at residues 112 and 158. ApoE2 contains cysteine at both positions, ApoE3 contains cysteine at residue 112 and arginine at residue 158, and ApoE4 contains arginine at both positions. These substitutions alter electrostatic interactions within the protein and influence communication between the N-terminal helical bundle and C-terminal lipid-binding domain. ApoE4 exhibits stronger domain-domain interactions and distinct conformational dynamics relative to ApoE2 and ApoE3, which generally sample more flexible conformational states. The additional interactions depicted for ApoE4 illustrate structural features proposed to influence lipid and receptor binding, proteolytic susceptibility, and other isoform-specific functions relevant to Alzheimer’s disease. The conformations shown are idealized schematic representations and should not be interpreted as single fixed three-dimensional structures, as ApoE isoforms exist as dynamic conformational ensembles. Reproduced from Butterfield and Mattson (2020), Neurobiology of Disease, 138, 104795, Elsevier, with permission from Elsevier.
Figure 4.
Isoform-dependent conformational properties of apolipoprotein E (ApoE). Schematic representation of the structural tendencies of ApoE2, ApoE3, and ApoE4 arising from amino acid differences at residues 112 and 158. ApoE2 contains cysteine at both positions, ApoE3 contains cysteine at residue 112 and arginine at residue 158, and ApoE4 contains arginine at both positions. These substitutions alter electrostatic interactions within the protein and influence communication between the N-terminal helical bundle and C-terminal lipid-binding domain. ApoE4 exhibits stronger domain-domain interactions and distinct conformational dynamics relative to ApoE2 and ApoE3, which generally sample more flexible conformational states. The additional interactions depicted for ApoE4 illustrate structural features proposed to influence lipid and receptor binding, proteolytic susceptibility, and other isoform-specific functions relevant to Alzheimer’s disease. The conformations shown are idealized schematic representations and should not be interpreted as single fixed three-dimensional structures, as ApoE isoforms exist as dynamic conformational ensembles. Reproduced from Butterfield and Mattson (2020), Neurobiology of Disease, 138, 104795, Elsevier, with permission from Elsevier.

ApoE2 and ApoE3 possess cysteine residues at positions which provide thiol nucleophiles that can trap electrophilic lipid peroxidation products, which can limit their diffusion and secondary modification of proteins and membranes (Abeer et al., 2023). ApoE4 is deficient for cysteines at these critical positions, limiting its capacity for scavenging reactive aldehydes, and making ApoE4 more prone to oxidative protein modification (Abeer et al., 2023; Butterfield & Mattson, 2020). This is exacerbated by a deficit in glutathione-dependent redox buffering, as cysteine availability is the rate-limiting step for glutathione synthesis (Hara et al., 2017). Consistent with this, glutathione levels and GSH/GSSG ratios are lower in the brain of individuals with mild cognitive impairment and AD, indicating an imbalance in redox buffering capacity (Bermejo et al., 2008).
Not surprisingly, a large body of work shows that ApoE isoforms have distinct effects on Aβ pathology. APOE ε4 carriers have higher brain Aβ deposition, an earlier age of amyloid positivity, and an accelerated rate of Aβ burden accrual over time (C. C. Liu et al., 2017). For decades, researchers tried to explain APOE-dependent AD risk almost exclusively in terms of differences in plaque load; however, this framework is limited, as plaque burden is highly variable and poorly correlated with synaptic dysfunction and cognitive decline (Xia et al., 2024). Instead, converging lines of evidence have led to the general consensus that soluble, early-stage Aβ assemblies - not mature plaques - are the species most intimately associated with neurotoxicity and cognitive impairment (Xia et al., 2024).
Accordingly, the role of fibrillization must be considered with this context in mind. On one hand, it is clear that fibril formation - by definition - ultimately contributes to plaque deposition. On the other hand, fibrillization can act as a negative feedback on acute neurotoxicity, sequestering highly diffusible, synaptotoxic oligomeric species into relatively inert fibrillar assemblies (Verma et al., 2015). Thus, the pathological relevance of fibril growth kinetics does not simply depend on whether elongation is increased or decreased, but how aggregation dynamics influence the abundance, persistence, and clearance of intermediate Aβ species. These intermediates, rather than mature fibrils, are now widely recognized as the primary drivers of synaptic dysfunction, neuroinflammation, and disease progression (Liu et al., 2026). In this light, it is important to recognize that while ApoE2 and ApoE3 more strongly inhibit fibril elongation than ApoE4, this is not associated with greater neurotoxicity. Rather, these isoforms promote more ordered aggregation pathways and facilitate clearance of early Aβ assemblies (Dasadhikari et al., 2025). In contrast, ApoE4 preferentially stabilizes disordered, poorly cleared Aβ intermediates, prolonging their lifetime and exacerbating their synaptotoxic and pro-inflammatory effects (Xia et al., 2024).
Xia et al. (2024) used single-molecule imaging and ex vivo brain-derived aggregates to demonstrate that ApoE does not simply affect plaque deposition or mature fibril structure. Instead, ApoE transiently binds to Aβ during the earliest stages of aggregation, and the ApoE-Aβ interaction leads to the formation of highly populated yet short-lived ApoE-Aβ co-aggregates which have a critical impact on aggregation pathways, toxicity, and clearance behavior (Verghese et al., 2013; Xia et al., 2024). Although only 1-5% of ex vivo Aβ particles were associated with apoE, these co-aggregates accounted for approximately 20–50% of total Aβ aggregate mass, indicating that a relatively small number of co-aggregates can contribute disproportionately to the overall aggregate burden (Xia et al., 2024).
Table 1.
Structural and functional characteristics of amyloid-β aggregation states in Alzheimer’s disease. The table summarizes major Aβ species from soluble monomers through oligomers, protofibrils, fibrils, and plaques, with emphasis on differences in structure, solubility, stability, biological relevance, and relative neurotoxicity. Toxicity and AD relevance are qualitative characterizations based on the cited literature rather than quantitative measurements. Aβ, amyloid-beta; AD, Alzheimer’s disease.
Table 1.
Structural and functional characteristics of amyloid-β aggregation states in Alzheimer’s disease. The table summarizes major Aβ species from soluble monomers through oligomers, protofibrils, fibrils, and plaques, with emphasis on differences in structure, solubility, stability, biological relevance, and relative neurotoxicity. Toxicity and AD relevance are qualitative characterizations based on the cited literature rather than quantitative measurements. Aβ, amyloid-beta; AD, Alzheimer’s disease.
| Term | Scale | Structure | Solubility | Stability | Primary Biological Relevance | Toxicity | Relationship to AD |
| Monomers | Molecular | Single Aβ peptides | Soluble | Unstable | Baseline physiological state | Low | Not directly pathogenic |
| Early-stage aggregates (oligomers) | Molecular-nanoscale | Small, flexible clusters (dimers, trimers, etc.) | Soluble | Transient | Synaptic signaling disruption, membrane interaction | Highest | Best correlate with cognitive decline |
| Protofibrils | Nanoscale | Elongated, partially ordered assemblies | Semi-soluble | Intermediate | Transitional species between oligomers and fibrils | High | Contribute to early pathology |
| Mature fibrils | Nanoscale–microscale | Highly ordered β-sheet polymers | Insoluble | Stable | Structural end-products of aggregation | Moderate–low | Build plaques but are not main toxic species |
| Plaques | Tissue-level | Macroscopic extracellular deposits of fibrils + cellular debris | Insoluble | Very stable | Histopathological hallmark | Variable | Poor correlation with symptoms |
In addition to ApoE isoform, the properties and clearance of ApoE-Aβ co-aggregates are strongly influenced by ApoE lipidation state (Xia et al., 2024). In APOE ε4/ε4 homozygotes, a larger fraction of Aβ is found in a co-aggregated form compared with APOE ε3 carriers, and a majority of these assemblies (~80%) incorporate non-lipidated ApoE (Xia et al., 2024). Rather than altering the final fibrillar end state, ApoE likely modulates Aβ toxicity in a more upstream fashion by stabilizing or destabilizing toxic Aβ intermediates that mediate synaptic dysfunction, membrane disruption, and neuroinflammatory signaling. Indeed, mature Aβ fibrils no longer contain ApoE and are functionally similar regardless of which ApoE isoform was present during aggregation. These findings are further supported by Xia et al. (2024), who showed that lipidated ApoE-Aβ co-aggregates are more efficiently cleared by glial cells and provoke a comparatively mild inflammatory response. In contrast, non-lipidated ApoE4-Aβ co-aggregates are more poorly cleared and drive a robust pro-inflammatory glial phenotype. This inflammatory environment can further impair clearance of other Aβ species, potentially establishing a self-reinforcing cycle of progressive Aβ accumulation. Such a mechanism may help explain the increased AD risk associated with APOE ε4. The ApoE4 protein is less efficiently lipidated in vivo than ApoE2 or ApoE3, making it more likely to become incorporated into toxic, poorly cleared co-aggregates rather than clearance-promoting assemblies. Consistent with the importance of ApoE lipidation, genetic deletion of ABCA1 - a major regulator of ApoE lipidation - worsens amyloid plaque deposition, whereas ABCA1 overexpression increases ApoE lipidation, decreases cerebral Aβ burden, and improves cognitive performance in transgenic AD models (Wahrle et al., 2008; Tate et al., 2024).
Differential Hormonal Regulation of Apolipoprotein E
The functional units of the ovaries are the follicles, each consisting of an oocyte surrounded by specialized somatic cells, including granulosa and theca cells. These structures serve both endocrine and gametogenic roles, supporting steroid hormone and peptide synthesis as well as oocyte survival, growth, maturation, and eventual release for fertilization. Ovarian follicles are broadly classified into preantral and antral stages. Preantral follicles include primordial, intermediate, primary, and secondary follicles and collectively represent approximately 90-95% of the total follicular population in mammals (Smitz & Cortvrindt, 2002; van den Hurk & Zhao, 2005). As folliculogenesis progresses, follicles transition into the antral stage, where they can be further categorized based on size and developmental status into tertiary and preovulatory follicles. ApoE is expressed not only in the central nervous system and liver, but also in mammalian ovarian tissue (Corraliza-Gomez et al., 2019; Oriá et al., 2020). Although ApoE is best known for its role in mediating cholesterol transport from peripheral tissues to the liver for metabolism, it also plays a critical role in reproductive physiology.
ApoE contributes to cholesterol trafficking within ovarian follicles, where it supports steroidogenesis by facilitating cholesterol availability to steroidogenic cells (Oriá et al., 2020). Cholesterol uptake by ovarian thecal and granulosa cells depends in part on ApoE, either through participation in lipoprotein-receptor complexes or via lipid endocytosis pathways (Getz et al., 2009). Structurally, ApoE is a key component of several lipoprotein particles, including VLDL remnants, a subclass of high-density lipoproteins (HDL) involved in reverse cholesterol transport, and chylomicrons that carry dietary lipids absorbed from the intestine (Kockx et al., 2018). Through these roles, ApoE serves as a molecular link between lipid metabolism, ovarian steroid hormone production, and systemic metabolic regulation.
ApoE production in ovarian cells is under direct hormonal control and shows a strong dependence on FSH signaling. Early in vitro studies demonstrated that exposure of rat granulosa cells to FSH (50 ng/mL) resulted in an approximately two-fold increase in ApoE secretion compared with cells maintained under FSH-free conditions (Driscoll et al., 1985). Mechanistically, this effect was mediated through activation of intracellular cyclic AMP (cAMP) signaling, as treatment with exogenous cAMP similarly enhanced ApoE release. These findings indicate that ApoE expression in granulosa cells is responsive to cAMP-dependent endocrine pathways downstream of FSH receptor activation. Consistent with these experimental observations, age-associated increases in circulating apolipoprotein E levels have also been reported in vivo in women, supporting a link between reproductive aging, increased gonadotropin signaling, and ApoE regulation (Von Wald et al., 2010).
Metabolic and Lipid Regulation of Apolipoprotein E
It is well established that both AD and reproductive aging are associated with extensive alterations in cellular metabolism and mitochondrial function (Spina et al., 2025; S. Wang et al., 2025; Xu et al., 2025). One of the most prominent consequences of impaired mitochondrial activity - particularly reduced oxidative phosphorylation (OXPHOS) - is the disruption of key components required for mitochondrial homeostasis, including proteins within the electron transport chain such as complex I. Beyond energetic deficits, emerging evidence suggests that mitochondrial dysfunction exerts broader regulatory effects on cellular signaling pathways, including those governing lipid metabolism and apolipoprotein expression. Notably, ApoE appears to be particularly sensitive to shifts in mitochondrial and metabolic state.
ApoE expression is highly responsive to cellular metabolic stress. Work by Wynne et al. (2023) demonstrates that disruption of mitochondrial electron transport - whether through genetic manipulation of mitochondrial solute carriers (e.g., SLC25A family members such as SLC25A1) or through pharmacologic and genetic inhibition of electron transport chain complexes I, III, or the copper-dependent complex IV - elicits robust upregulation of ApoE across multiple cell types (Wynne et al., 2023) . This response is especially pronounced in human glial cells, which represent the primary source of ApoE within the central nervous system (Wynne et al., 2023).
Importantly, ApoE induction is not restricted to conditions of overt mitochondrial respiratory failure. Mutagenesis of the mitochondrial carnitine transporter SLC25A20 increases ApoE expression despite preserved oxidative phosphorylation and intact respiratory chain subunit abundance. Similarly, disruption of ATP citrate lyase (ACLY) - a cytosolic enzyme critical for acetyl-CoA production - also elevates ApoE levels (Wynne et al., 2023). Therefore, ApoE upregulation likely reflects an adaptive program linked to mitochondrial dysfunction, altered lipid and acetyl-CoA metabolism, and potentially mitochondria-initiated inflammatory signaling. While such responses may initially support membrane repair and metabolic homeostasis, they may become maladaptive in the aging brain, particularly in carriers of the ApoE4 isoform.
Under more canonical physiological conditions, ApoE expression is also regulated through sterol-sensitive transcriptional pathways. Reductions in neuronal cholesterol availability promote the formation of oxysterols, which activate the astrocyte-enriched liver X receptor (LXR) pathway (Wang et al., 2021). LXR functions as a ligand-activated nuclear receptor that induces the expression of genes central to cholesterol homeostasis, including ABCA1 and ApoE (Staurenghi et al., 2021). Together, these proteins facilitate the formation of HDL-like particles and mediate cholesterol transport within the brain (Lindner & Gavin, 2024). In parallel, peroxisome proliferator-activated receptor gamma (PPARγ) contributes to ApoE upregulation in astrocytes, linking APOE expression to broader metabolic programs involving glucose metabolism and insulin sensitivity (Tyagi et al., 2011; Qi et al., 2021).
Beyond sterol signaling, lipid availability itself further modulates ApoE expression and processing. Oleic acid, a monounsaturated fatty acid that is esterified into triacylglycerols (TAGs) and stored in lipid droplets under conditions of excess, has been shown to alter ApoE dynamics. Specifically, oleic acid exposure reduces intracellular levels of heavily glycosylated ApoE while promoting its secretion (Huang et al., 2004). Chronic exposure enhances ApoE release from astrocytes, with a disproportionately greater increase observed for the ApoE4 isoform (Lindner et al., 2022). This hypersecretion is likely driven by impaired degradation of ApoE4 and increased interactions between ApoE4 and TAG-rich lipid droplets.
A Note on Other Apolipoprotein Variants
Hormonal perturbations associated with aging - particularly those influencing ApoE dynamics - occur alongside broader age-related declines in multiple apolipoprotein species. Using data-independent acquisition (DIA) proteomics, McCoy et al. (2025) demonstrated that circulating apolipoproteins, including ApoA-I, ApoA-IV, ApoB-100, ApoC-I, ApoC-IV, ApoD, ApoE, and ApoM, decline significantly with age in postreproductive female mice.
Several of these apolipoproteins have established relevance to neurodegenerative processes. For example, ApoA-I can bind Aβ and has been implicated in modulating its aggregation and clearance; accordingly, circulating ApoA-I levels are significantly reduced in individuals with Alzheimer’s disease compared to healthy controls (Tong et al., 2022). Restoration of ApoA-I levels following ovarian tissue transplantation was associated with improved cognitive performance, reduced inflammatory signaling, and decreased gliosis in aged mice (McCoy et al., 2025). Additional apolipoproteins exhibit similar patterns. ApoC-IV and ApoD both decline with age and are restored following transplantation of young ovarian tissue (McCoy et al., 2025). Notably, loss of ApoD function increases susceptibility to oxidative stress, elevates brain lipid peroxidation, and impairs locomotor and learning capacity, whereas ApoD overexpression confers protective effects, enhancing survival and limiting oxidative damage (Ganfornina et al., 2008).
Importantly, these restorative effects appear largely independent of follicular content. Both follicle-containing and follicle-depleted ovarian tissue transplants returned circulating apolipoprotein levels in aged mice to profiles resembling those of young animals, while also improving cognitive outcomes and attenuating gliosis (McCoy et al., 2025). In parallel, these interventions suppressed circulating FSH levels to those observed in young, reproductively active mice (McCoy et al., 2025; Uilenbroek et al., 1978). These effects occur alongside reductions in circulating FSH, supporting a model in which endocrine aging contributes to both altered lipid transport biology and neurodegenerative vulnerability. However, whether FSH directly regulates the synthesis of apolipoproteins beyond ApoE remains to be determined.
Proposed Neurobiological Pathways Linking Elevated FSH to Alzheimer’s Disease
Elevated FSH and Neuronal Bioenergetic Dysfunction
Deficits in glucose metabolism and oxidative phosphorylation are well-recognized features of AD in both experimental and clinical studies. Cerebral hypometabolism, commonly assessed using fluorodeoxyglucose positron emission tomography (FDG-PET), is a prominent feature of the disease (Christodoulou et al., 2026). C/EBPβ signaling may contribute to this phenotype by interfering with neuronal insulin signaling and glucose utilization. C/EBPβ represses FOXO1 activity and inhibits Akt, a central mediator of insulin-dependent glucose uptake, thereby promoting a pseudo-insulin-resistant state within neurons (Tsukada et al., 2011; Gabbouj et al., 2019). Reduced neuronal glucose uptake may therefore contribute to the impaired metabolic state observed in AD. FSH can also exert direct metabolic effects outside the CNS. In adipose tissue, blockade of FSH signaling increased thermogenic activity and mitochondrial density while reducing adiposity, providing experimental evidence that FSH can regulate mitochondrial and metabolic function in a non-gonadal tissue (P. Liu et al., 2017). Together, these findings provide a systemic precedent for the broader metabolic actions of FSH, although whether comparable mechanisms operate within neurons during reproductive aging remains to be established.
C/EBPβ signaling may also impair mitochondrial energetics through regulation of key metabolic proteins. Activation of this pathway promotes degradation of nicotinamide phosphoribosyltransferase (NAMPT), resulting in depletion of nicotinamide adenine dinucleotide (NAD⁺), which is required for mitochondrial respiration and ATP production (Li et al., 2025). C/EBPβ itself is regulated by gonadotropin signaling. Under physiological conditions, gonadotropins including FSH and LH induce C/EBPβ to regulate genes involved in steroidogenesis and inflammatory responses, including steroidogenic acute regulatory protein (StAR) and prostaglandin-endoperoxide synthase 2 (PTGS2/COX-2) (Sirois & Richards, 1993; Duffy et al., 2019). Whereas periovulatory C/EBPβ induction is temporally restricted, whether chronic gonadotropin elevation during reproductive aging produces more sustained C/EBPβ activity remains uncertain.
Importantly, the metabolic trajectory of AD may not consist of progressive hypometabolism from the outset. Evidence suggests that cerebral hypometabolism may be preceded by a period of mitochondrial hyperactivity and neuronal hyperexcitability (Christodoulou et al., 2026; Naia et al., 2023). During this earlier stage, C/EBPβ-dependent signaling may transiently increase mitochondrial output, in part through increased TFAM promoter activity and mitochondrial biogenesis (Sierra-Magro et al., 2023). At the same time, C/EBPβ-mediated repression of FOXO1 and REST may reduce inhibitory neuronal programs, particularly within GABAergic neuronal populations, contributing to loss of inhibitory tone and aberrant network excitation (Mattson, 2020; Xia et al., 2022). Consistent with this model, hypermetabolic changes have been reported during preclinical and prodromal stages of AD (Christodoulou et al., 2026; Naia et al., 2023).
Figure 5.
Convergent drivers and consequences of mitochondrial perturbation in Alzheimer’s disease. Amyloid-β (Aβ) deposition, tau pathology, oxidative stress, and electron transport chain (ETC) dysfunction converge to perturb mitochondrial quality control. Excessive fission (via upregulation of dynamin-related protein 1 (DRP1), fission protein 1 (FIS1), and mitochondrial fission factor (MFF)) at the expense of fusion (optic atrophy protein 1 (OPA1); mitofusins (MFN1/2)), mitophagy (PTEN-induced kinase 1 (PINK1); Parkin; microtubule-associated protein light chain 3 (LC3)) and MDV formation underlies a shift in mitochondrial dynamics, turnover and trafficking that favors accumulation of fragmented, dysfunctional mitochondria. Reproduced from Li et al. (2022) under CC BY 4.0.
Figure 5.
Convergent drivers and consequences of mitochondrial perturbation in Alzheimer’s disease. Amyloid-β (Aβ) deposition, tau pathology, oxidative stress, and electron transport chain (ETC) dysfunction converge to perturb mitochondrial quality control. Excessive fission (via upregulation of dynamin-related protein 1 (DRP1), fission protein 1 (FIS1), and mitochondrial fission factor (MFF)) at the expense of fusion (optic atrophy protein 1 (OPA1); mitofusins (MFN1/2)), mitophagy (PTEN-induced kinase 1 (PINK1); Parkin; microtubule-associated protein light chain 3 (LC3)) and MDV formation underlies a shift in mitochondrial dynamics, turnover and trafficking that favors accumulation of fragmented, dysfunctional mitochondria. Reproduced from Li et al. (2022) under CC BY 4.0.

Sustained activation of this metabolic program has been associated in preclinical models with a transition from compensatory activity toward mitochondrial dysfunction. Chronic C/EBPβ activation, persistent Akt inhibition, and mitochondrial stress have each been linked to declining metabolic efficiency and progressive mitochondrial impairment (Shaerzadeh et al., 2014; Yu et al., 2014; S. Wang et al., 2025), although the extent to which this phenotype results specifically from FSH-driven C/EBPβ activation during human aging remains unresolved. As mitochondrial quality-control mechanisms become increasingly compromised, an initially compensatory hypermetabolic state may eventually give way to the hypometabolism characteristic of established AD (Naia et al., 2023; Christodoulou et al., 2026).
The consequences of this transition may themselves reinforce disease progression. Impaired oxidative metabolism can promote cytosolic acidification and lactate accumulation, changes that may further disrupt lysosomal acidification and autophagic flux, both of which are altered in the AD brain (Chen et al., 2022; Hagihara & Miyakawa, 2024; X. Wang et al., 2025). Lysosomal distention and autophagosome accumulation are well-documented features of AD and can further impair the clearance of damaged cellular components and proteinaceous material (Quick et al., 2023). These changes are also associated with microglial activation and neuroinflammatory signaling, creating a potentially self-reinforcing relationship among metabolic dysfunction, impaired protein clearance, inflammation, and neurodegeneration (Jung et al., 2025; Wu et al., 2025).
Beyond these metabolic effects, C/EBPβ also engages proteolytic pathways directly relevant to AD pathology. An important downstream effector is asparagine endopeptidase (AEP; also known as δ-secretase). Increased C/EBPβ activity can promote AEP expression, while AEP can cleave APP at N585 and tau at N368, generating fragments with increased aggregation propensity (Wu et al., 2020). In experimental AD models, FSH and ApoE4 have been reported to enhance signaling through the C/EBPβ-AEP axis, providing one proposed mechanism through which reproductive aging could influence both amyloid and tau pathology (Xiong et al., 2022; Xiong et al., 2023).
FSH and ApoE4 Convergence on Autophagic-Lysosomal Dysfunction.
Autophagy is another cellular process that may be influenced by FSH during folliculogenesis, but appears to have diametric opposite consequences in neurons. During folliculogenesis, FSH is considered to function as a general suppressor of autophagy. In a context-dependent manner, FSH signaling via the PI3K-AKT-mTOR pathway, FSHR activation of AKT-mTOR (growth factor) under basal conditions, contributes to cell growth and survival while inhibiting autophagy (Liu et al., 2023). However, in antral and pre-ovulatory stages, follicles experience rapid cellular proliferation and increased metabolic demand, leading to the establishment of localized hypoxic microenvironments. In these conditions, FSH signaling cross-talks with hypoxia-dependent pathways and causes dynamic regulation of mTOR activity. In particular, FSHR promotes transient activation of mTOR. However, as a consequence of hypoxia and HIF-1α stabilization, FSH-dependent mTOR activity is eventually attenuated relative to HIF-1α activity and the crosstalk between these two pathways promotes a shift towards autophagy induction in an FSHR-mTOR-HIF-1α–dependent manner (Zhou et al., 2017). This cellular transition allows follicular cells to maintain metabolic homeostasis despite facing the challenges of increased energetic and oxidative stress. Functionally, autophagy seems to play a crucial protective role in follicular survival. Autophagy inhibition and subsequent impairment of autophagic pathways is associated with the accumulation of intracellular waste, compromised cellular integrity and depletion of primordial follicle pool (Gawriluk et al., 2011; Wu et al., 2015; Song et al., 2015; Zhou et al., 2017). Taken together, stress-induced and upregulated autophagy during late stages of folliculogenesis seems to be an adaptive mechanism to preserve follicular viability under the conditions of increased metabolic demand.
The consequences of FSHR activation are likely to be highly tissue-dependent, reflecting differences in the intracellular pathways engaged by the receptor. In classical endocrine cells such as ovarian granulosa cells, FSHR predominantly couples to Gαs, promoting cAMP-dependent activation of protein kinase A (PKA) and downstream signaling through pathways including Akt-mTOR that support cell growth and survival (Casarini & Crépieux, 2019). Importantly, FSHR coupling outside the gonad is not unprecedented. In osteoclasts, FSH was shown to act directly through a Gi2α-coupled FSHR, activating MEK/ERK, NF-κB, and Akt independently of estrogen signaling (Sun et al., 2006). This provides an established extragonadal precedent for alternative FSHR coupling, although it does not by itself establish the signaling configuration of neuronal FSHR. In neurons, experimental studies suggest that FSHR may likewise engage alternative G-protein signaling, including Gαi-dependent pathways, although whether Gαi represents the predominant coupling mechanism in neuronal cells has not been directly established. Within this proposed model, Gαi-associated signaling activates ERK1/2, Akt, and SRPK2 and increases C/EBPβ activity. C/EBPβ can in turn promote expression of asparagine endopeptidase (AEP; also known as δ-secretase), which cleaves APP at N585 and tau at N368, generating fragments with increased aggregation propensity (Wu et al., 2020; Li et al., 2024). Thus, the FSHR-Gαi-C/EBPβ-AEP axis provides one proposed route through which elevated FSH could influence both amyloid and tau pathology. However, this signaling hierarchy remains supported primarily by preclinical evidence and has not been established in the human brain.
Accumulation of autophagic vesicles in dystrophic neurites is a well-described pathological hallmark of Alzheimer’s disease, which can be caused by impaired autophagosome-lysosome fusion and defective degradation of autophagic cargo (Nixon et al., 2005; Nixon & Yang, 2011; Zhang et al., 2022). Consistent with this hypothesis, animal models have demonstrated elevated levels of LC3-II, a marker of stalled or incomplete autophagosome turnover (Yang et al., 2011; Zhang et al., 2022). APOE ε4 carriers have been found to have a pronounced accumulation of autophagic vesicles, suggesting that the ApoE4 isoform further exacerbates the impairment in autophagic flux (Sohn et al., 2021). Another mechanism has been proposed based on FSH-induced ApoE nuclear localization, which has been shown to negatively impact transcriptional control of autophagy by competing with TFEB for occupancy of coordinated lysosomal expression and regulation (CLEAR) elements of autophagy-related genes including SQSTM1, MAP1LC3B, and LAMP2 (Parcon et al., 2018). Suppression of TFEB-mediated transcription of lysosomal and autophagy-related genes has been specifically characterized for ApoE4, with no such effect demonstrated for ApoE2 and ApoE3. This isoform-specific mechanism provides a molecularly precise account of how ApoE4 may compound autophagic failure in the context of elevated FSH, and represents a compelling candidate pathway linking endocrine aging to the lysosomal dysfunction that is well established in human AD. Direct in vivo validation of this mechanism in the aging brain, and in the context of FSH-driven ApoE dynamics specifically, remains an important direction for future work.
Aberrant accumulation of autophagosomes has been shown to occur even before amyloid plaque deposition, suggesting that it is an early pathogenic event rather than a consequence of amyloidosis (Yu et al., 2005). Experimental induction or inhibition of macroautophagy in neuronal cells results in parallel changes in autophagic vesicle abundance and amyloid-β production (Yu et al., 2005). Defective PS1 function leads to mTORC1 activation, which in turn suppresses TFEB-dependent autophagy and lysosomal biogenesis in neuronal cells (Reddy et al., 2016), while PS2 mutations cause further inhibition of autophagosome - lysosome fusion (Fedeli et al., 2019). Notably, the efficiency of both autophagic and lysosomal pathways decreases with age even in individuals who do not carry presenilin mutations or have complete loss of function, which further increases vulnerability to disrupted protein homeostasis later in life (Beckman et al., 2020; Lim et al., 2024; Shen et al., 2007; Thakur & Ghosh, 2007).
Potential Links Between FSH Signaling and Glial Activation in Alzheimer’s Disease
C/EBPβ serves as a central regulator of inflammatory signaling. Numerous pro-inflammatory genes contain consensus C/EBPβ binding sites, and both macrophages and glial cells exhibit marked upregulation of C/EBPβ in response to inflammatory stimuli (J. Wang et al., 2025). Consistent with this role, C/EBPβ-deficient brains display reduced expression of pro-inflammatory genes and attenuated neurotoxic effects of activated microglia (Straccia et al., 2011; Yao et al., 2024). Moreover, loss of C/EBPβ activity confers neuroprotection in experimental models of ischemic and excitotoxic injury, underscoring its contribution to neuroinflammatory damage (Wu et al., 2023).
C/EBPβ plays a central role in regulating genes involved in inflammasome activation (J. Wang et al., 2025). Inflammasomes - particularly the NLRP3 complex - are activated by a range of cellular stressors, including misfolded protein aggregates, oxidative stress, and mitochondrial dysfunction (Wu, D. et al., 2022; Baragetti et al., 2020; Hamilton & Anand, 2019; Halliday & Mallucci, 2015; Jones et al., 2021). Within this context, C/EBPβ directly regulates the transcription of key inflammasome components by binding to their promoter regions. Notably, C/EBPβ has been shown to upregulate expression of NLRP3, a core structural component of the inflammasome complex (Ma et al., 2018; Chen, J. et al., 2021). It similarly enhances expression of AIM2, a cytosolic DNA sensor that forms a caspase-1–activating inflammasome (Hornung et al., 2009; Zou et al., 2023). Through these actions, C/EBPβ contributes to the priming phase of inflammasome activation, increasing cellular sensitivity to downstream activating signals. In addition to its direct transcriptional effects, C/EBPβ functions synergistically with other inflammatory transcription factors, most notably NF-κB, to amplify cytokine production (McClure et al., 2017). NF-κB is a well-established regulator of inflammatory gene expression, and its cooperation with C/EBPβ enhances transcriptional output at shared target loci. For example, both factors bind to adjacent promoter regions of IL-1β and IL-18, driving coordinated upregulation of these cytokines (Ma et al., 2018).
Figure 6.
C/EBPβ-dependent transcriptional regulation of inflammasome activation and pro-inflammatory signaling. This figure illustrates the role of C/EBPβ as a central transcriptional regulator linking upstream inflammatory cues to inflammasome activation. In panel A, C/EBPβ cooperates with NF-κB to induce expression of key inflammasome components, including NLRP3 and AIM2, promoting assembly of ASC-containing complexes, activation of caspase-1, and subsequent maturation of IL-1β and IL-18. In panel B, distinct C/EBPβ isoforms differentially regulate inflammasome gene expression, thereby modulating downstream inflammatory responses through calcium-dependent signaling and cytokine production. Collectively, the figure highlights C/EBPβ as a key integrator of transcriptional control and innate immune activation, coordinating inflammasome pathways implicated in neuroinflammation and neurodegenerative disease. Reproduced from J. Wang et al. (2025) under the Creative Commons Attribution License (CC BY). Created with BioRender.com.
Figure 6.
C/EBPβ-dependent transcriptional regulation of inflammasome activation and pro-inflammatory signaling. This figure illustrates the role of C/EBPβ as a central transcriptional regulator linking upstream inflammatory cues to inflammasome activation. In panel A, C/EBPβ cooperates with NF-κB to induce expression of key inflammasome components, including NLRP3 and AIM2, promoting assembly of ASC-containing complexes, activation of caspase-1, and subsequent maturation of IL-1β and IL-18. In panel B, distinct C/EBPβ isoforms differentially regulate inflammasome gene expression, thereby modulating downstream inflammatory responses through calcium-dependent signaling and cytokine production. Collectively, the figure highlights C/EBPβ as a key integrator of transcriptional control and innate immune activation, coordinating inflammasome pathways implicated in neuroinflammation and neurodegenerative disease. Reproduced from J. Wang et al. (2025) under the Creative Commons Attribution License (CC BY). Created with BioRender.com.

Evidence that microglia directly express functional FSHR is currently lacking, so a direct FSH-FSHR signaling mechanism in microglia cannot yet be assumed. FSH may instead influence glial activation indirectly. Increased neuronal C/EBPβ-AEP signaling, together with the downstream accumulation of Aβ and pathological tau species, could generate inflammatory stimuli that activate microglia and amplify C/EBPβ- and inflammasome-dependent responses. This model is consistent with the broader neuroinflammatory effects observed in experimental systems, although the specific cellular route linking elevated FSH to microglial activation remains unresolved.
An additional consideration is that aging may alter the cellular origin of the brain’s myeloid compartment. Using somatic mutations to trace cell lineage in the human brain, Belk et al. (2026) identified a widespread age-associated influx of bone-marrow-derived myeloid cells, some of which acquired microglia-like characteristics and contributed substantially to the microglial population. This finding introduces the possibility that peripheral myeloid biology becomes increasingly relevant to the aging brain. Of particular interest in the present context, FSHR expression has been demonstrated in experimental bone-marrow-derived macrophages, where FSH stimulation increased production of inflammatory cytokines, including TNF-α and IL-6, and activated NF-κB signaling (Chen et al., 2025). These findings provide a peripheral myeloid precedent for direct FSH responsiveness. However, they do not establish that FSH promotes myeloid-cell entry into the brain, nor do they demonstrate that infiltrating myeloid cells mediate the neuroinflammatory effects associated with elevated FSH. Whether these processes intersect during reproductive and brain aging therefore remains an open question.
Such an indirect mechanism would also fit with the well-described relationship between AD protein pathology and neuroinflammation. Aβ promotes microglial recruitment and clustering around plaque-rich regions (Gao et al., 2023) and can activate the NLRP3 inflammasome, resulting in the release of apoptosis-associated speck-like protein containing a CARD (ASC) aggregates. These ASC specks can themselves bind Aβ and promote further aggregation and propagation (Venegas et al., 2017). In parallel, sustained activation of microglia and astrocytes can enhance amyloidogenic APP processing and increase the activity of tau-directed kinases, including glycogen synthase kinase-3β (GSK-3β), thereby promoting tau hyperphosphorylation, synaptic dysfunction, and neurodegenerative spread (Chen & Yu, 2023; Zhang et al., 2021).
Figure 7.
Proposed FSH-FSHR signaling pathway linking reproductive aging to amyloidogenic, tau-directed, and inflammatory pathology in Alzheimer’s disease. This figure illustrates a proposed signaling model derived primarily from experimental studies. FSH binding to FSHR in cortical and hippocampal neurons has been reported to engage signaling involving Gαi, ERK1/2, Akt, and SRPK2, leading to increased C/EBPβ/AEP activity and downstream APP and tau processing. Whether Gαi represents the predominant coupling mechanism of neuronal FSHR remains unresolved, and the complete pathway has not been demonstrated in humans. Reproduced from Li et al. (2024) under the Creative Commons Attribution License (CC BY). Created in BioRender. gN, fh. (2024), BioRender.com/s03s437.
Figure 7.
Proposed FSH-FSHR signaling pathway linking reproductive aging to amyloidogenic, tau-directed, and inflammatory pathology in Alzheimer’s disease. This figure illustrates a proposed signaling model derived primarily from experimental studies. FSH binding to FSHR in cortical and hippocampal neurons has been reported to engage signaling involving Gαi, ERK1/2, Akt, and SRPK2, leading to increased C/EBPβ/AEP activity and downstream APP and tau processing. Whether Gαi represents the predominant coupling mechanism of neuronal FSHR remains unresolved, and the complete pathway has not been demonstrated in humans. Reproduced from Li et al. (2024) under the Creative Commons Attribution License (CC BY). Created in BioRender. gN, fh. (2024), BioRender.com/s03s437.

An additional layer of this glial response involves APOE-dependent alterations in lipid handling. Haney et al. (2024) identified an ACSL1-positive, lipid-droplet-accumulating microglial state in human AD brain tissue that was most abundant in individuals carrying the APOE ε4/ε4 genotype. In human iPSC-derived microglia, fibrillar Aβ increased triglyceride synthesis and lipid-droplet accumulation in an APOE-dependent manner, with a more pronounced response in APOE ε4/ε4 cells. Conditioned media from lipid-laden microglia subsequently promoted tau phosphorylation and neurotoxicity in human neurons, again in an APOE-dependent manner.
FSH-Associated Vascular Dysfunction and Blood-Brain Barrier Integrity
The blood-brain barrier (BBB) is formed by specialized brain endothelial cells connected by tight junctions and supported by perivascular cell populations, including pericytes, astrocytes, microglia, and oligodendrocytes. Together, these components regulate molecular exchange between the circulation and the central nervous system, restrict the entry of potentially neurotoxic substances, and maintain neural homeostasis (Kim et al., 2024).
BBB dysfunction is increasingly recognized as an early component of AD pathophysiology rather than simply a consequence of advanced amyloid and tau pathology. Nation et al. (2019) demonstrated increased hippocampal BBB permeability and markers of pericyte injury in individuals with early cognitive dysfunction, with these vascular abnormalities occurring independently of Aβ and tau biomarker status. Montagne et al. (2020) further showed that APOE ε4 carriers exhibit accelerated BBB breakdown in the hippocampus and medial temporal regions, with greater pericyte injury associated with cognitive decline independently of cerebral Aβ and tau burden. Together, these findings support the possibility that vascular dysfunction represents a partly independent pathway through which aging and genetic susceptibility contribute to AD vulnerability.
Against this background, elevated FSH may represent an additional source of vascular stress during reproductive aging. Circulating FSH levels have been associated with reduced vascular compliance, including greater arterial stiffness and endothelial dysfunction (Ferretti et al., 2018; Laakkonen et al., 2021; Xue et al., 2025). Experimental and clinical studies have further linked elevated FSH with vascular calcification and progressive loss of arterial elasticity (Li et al., 2024; Roelofs et al., 2022). In peripheral endothelial systems, FSH has also been reported to alter adherens-junction proteins, including E-cadherin and V-cadherin, with corresponding increases in vascular permeability (Kolnes et al., 2020; M. S. Rocca et al., 2024).
Whether these vascular effects extend directly to the BBB remains less certain. Because endothelial junctional mechanisms are shared across vascular beds, FSH-associated disruption of peripheral endothelial signaling provides a plausible basis for effects on cerebrovascular integrity. However, direct evidence demonstrating that elevated FSH itself disrupts the human BBB remains limited. The proposed connection between reproductive-age FSH elevation and BBB breakdown should therefore be regarded as a mechanistic hypothesis requiring direct investigation in cerebrovascular tissue.
Some experimental evidence is consistent with this proposed connection. In a mouse model, ovariectomy followed by treatment with the gonadotropin agonist leuprolide acetate increased connexin-43 expression and enhanced Evans blue dye extravasation into the brain, indicating greater BBB permeability (Wilson et al., 2008). These findings suggest that gonadotropin-associated changes may influence cerebrovascular barrier function, although the experimental design does not isolate a direct effect of FSH and should therefore be interpreted cautiously.
Astrocyte aging may further compound this vulnerability. Aged astrocytes exhibit a reduced capacity to support neuronal function and maintain homeostasis and have been implicated in AD-related cellular dysfunction (Bronzuoli et al., 2019; Cohen & Torres, 2019; Monterey et al., 2021). Because astrocytic endfeet provide near-complete coverage of the cerebral vasculature (Mathiisen et al., 2010), age-related impairment of astrocyte function could further destabilize BBB integrity. Consistent with this, BBB permeability increases with age, with evidence suggesting greater vulnerability in older women compared with younger individuals (Goodall et al., 2018; Knox et al., 2022).
Figure 8.
Proposed links between elevated FSH, vascular dysfunction, and blood-brain barrier disruption in Alzheimer’s disease. Elevated FSH is associated with vascular stiffness, endothelial dysfunction, and reduced vascular integrity, while BBB breakdown and reduced cerebral blood flow (CBF) may contribute to the entry or accumulation of inflammatory and lipid-associated factors within the brain. The model incorporates inflammatory mediators, including lipopolysaccharide (LPS), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β), together with lipid dysregulation involving apolipoprotein E4 (ApoE4), low-density lipoprotein (LDL), and lipoprotein receptor-related protein 1 (LRP1). The right panel illustrates a proposed two-hit model in which vascular dysfunction and increased BBB permeability may precede or facilitate subsequent neuroinflammatory and neurodegenerative changes. Reproduced from Xue et al. (2025) under the Creative Commons Attribution License (CC BY).
Figure 8.
Proposed links between elevated FSH, vascular dysfunction, and blood-brain barrier disruption in Alzheimer’s disease. Elevated FSH is associated with vascular stiffness, endothelial dysfunction, and reduced vascular integrity, while BBB breakdown and reduced cerebral blood flow (CBF) may contribute to the entry or accumulation of inflammatory and lipid-associated factors within the brain. The model incorporates inflammatory mediators, including lipopolysaccharide (LPS), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β), together with lipid dysregulation involving apolipoprotein E4 (ApoE4), low-density lipoprotein (LDL), and lipoprotein receptor-related protein 1 (LRP1). The right panel illustrates a proposed two-hit model in which vascular dysfunction and increased BBB permeability may precede or facilitate subsequent neuroinflammatory and neurodegenerative changes. Reproduced from Xue et al. (2025) under the Creative Commons Attribution License (CC BY).

Integrative Mechanistic Framework: How Reproductive Aging in Biological Females Reconfigures Alzheimer’s Disease Risk
The biological features commonly associated with AD, as with many age-related disorders, are not exclusive to individuals who meet diagnostic criteria for the condition. Amyloid-β accumulation, tau pathology, and α-synuclein aggregation are central features of neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, and dementia with Lewy bodies, but these molecular alterations can also be detected to varying degrees during normative aging (Sengupta & Kayed, 2022). Postmortem studies have identified amyloid plaques and tau pathology in cognitively normal older adults and, in some cases, during middle age (Krishnadas et al., 2022; Morris et al., 2010; Pletnikova et al., 2015; Sengupta & Kayed, 2022). Moreover, Aβ is physiologically produced throughout life, including in individuals without dementia (Pearson & Peers, 2006). Disease development therefore appears to depend not simply on the presence of aggregation-prone proteins, but also on disruption of the systems that regulate protein folding, trafficking, clearance, and the cellular environment in which these proteins accumulate (Jamerlan & Hulme, 2026).
Several disturbances associated with neurodegeneration can emerge before measurable cognitive impairment or overt neuronal loss. These include impaired autophagic and lysosomal clearance, altered cellular metabolism, chronic microglial activation, increased blood-brain barrier permeability, and astrocytic dysfunction (Gazestani et al., 2023; Li et al., 2018). In this context, amyloid-β and tau accumulation, autophagosome buildup, and progressive neuronal degeneration may be understood as components of a broader failure of cellular homeostasis rather than as isolated pathological events. Importantly, these processes can also reinforce one another: metabolic dysfunction can impair protein clearance, inflammatory signaling can promote further protein accumulation, and vascular dysfunction can alter the environment in which both processes occur. This broader framework makes it useful to consider factors that perturb these regulatory systems before substantial neurodegeneration has developed.
In the United States, the majority of AD cases occur in women, suggesting that female-specific biological factors contribute meaningfully to differences in disease vulnerability. Women carrying APOE ε4 may be particularly susceptible, given the interaction between sex, aging, and APOE genotype in shaping AD risk and pathology. Across many studied populations, approximately 40–60% of individuals with AD carry at least one APOE ε4 allele, although prevalence varies by ancestry and population (Pires & Rego, 2023).
Although this review focuses primarily on mechanisms that may contribute to increased AD risk in women during reproductive aging, age-associated increases in FSH also occur in men, albeit generally to a lesser extent (Kim et al., 2024). FSH-related mechanisms may therefore have relevance beyond female reproductive aging, although their magnitude and biological consequences may differ across sexes. Clarifying whether elevated FSH contributes to neurodegenerative processes in men, and through which cellular pathways, remains an important area for further investigation.
Endocrine and Metabolic Targets: Translational Opportunities in Alzheimer’s Disease
While various pharmacologic approaches are currently employed in the treatment of AD (cholinesterase inhibitors, NMDA receptor antagonists, and more recently anti-amyloid agents, etc) (Zhang et al., 2024), a thorough discussion of these approaches is outside of the scope of the present review. Instead, the present review focuses on the mechanistic link between reproductive aging and the pathophysiology of AD, with a focus on the endocrine transition, gonadotropin signaling, and the downstream consequences of this process (inflammation, metabolism, etc) and the impact on cellular homeostasis. Targeted intervention within this upstream, system-level process (FSH signaling, for example) could therefore be an important therapeutic approach, providing complementary strategies in the treatment of AD that build upon and enhance currently employed treatments.
Therapeutic Targeting of FSH in Alzheimer’s Disease
Given the emerging role of FSH in AD-related pathology, therapeutic targeting of FSH signaling represents a potential avenue for intervention. An important proof of principle for this strategy came from P. Liu et al. (2017), who showed that antibody-mediated blockade of FSH in mice reduced adiposity, increased thermogenic activity, and increased mitochondrial density in adipose tissue. Although this study did not examine neurodegeneration, it established both the feasibility of antibody-mediated FSH blockade and the capacity of FSH to exert direct metabolic effects in non-gonadal tissues. Subsequent studies extended this approach to experimental models of AD. In female APOE ε4 knock-in mice, ovariectomy-induced AD-like pathology and cognitive deficits were attenuated by FSH-neutralizing antibodies, with reductions in amyloid burden and neurodegeneration accompanied by improved cognitive performance (Xiong et al., 2022; Xiong et al., 2023). Because ovariectomy produces an abrupt endocrine transition rather than the gradual hormonal changes characteristic of natural menopause, these findings are best interpreted as mechanistic evidence rather than as a direct model of the human menopausal transition. More recent work has similarly reported improvements in spatial learning and recognition memory following FSHR disruption or antibody-mediated blockade (Korkmaz et al., 2025; Pallapati et al., 2025). FSH-targeted therapies nevertheless remain preclinical, and their safety, efficacy, and relevance to human AD remain to be established.
Hormone Therapy and Estrogen Receptor Modulation
The use of menopause hormone therapy (MHT) for the treatment of menopausal symptoms and its effects on cognition and dementia risk remains an area of ongoing clinical and public debate, largely due to conflicting evidence and concerns regarding potential adverse outcomes (W. A. Rocca et al., 2024). While experimental and laboratory studies often suggest neuroprotective or cognitive benefits of hormone therapy, these findings have not been consistently replicated in human populations (Ali et al., 2023; Andy et al., 2024).
Some clinical and epidemiological studies report that MHT may increase the risk of dementia and cognitive decline (Craig et al., 2005; Yuk et al., 2023), and it has been associated with increased Alzheimer’s-related tau pathology (Coughlan et al., 2023). However, the overall certainty of this evidence remains limited, as many systematic reviews fail to meet rigorous standards (e.g., GRADE) due to bias, heterogeneity, and inconsistency across studies (Hilton Boon et al., 2021). Early observational studies suggested that MHT might reduce dementia risk, particularly when initiated during midlife and used over extended durations (Henderson et al., 1994; Henderson et al., 2005; Kim et al., 2021; Whitmer et al., 2011; Zandi et al., 2002). However, these findings are highly susceptible to confounding - especially healthy user bias - and have not been consistently reproduced in randomized controlled trials (Rahman et al., 2019).
The Women’s Health Initiative Memory Study (WHIMS) reported that combined MHT (conjugated equine estrogens plus medroxyprogesterone acetate) approximately doubled dementia risk, while estrogen-only therapy increased the risk of mild cognitive impairment in women aged 65 years or older (Shumaker et al., 2003; Shumaker et al., 2004). Although these findings are often cited, the late age of therapy initiation limits their generalizability to typical clinical use, where treatment is often initiated earlier in the menopausal transition.
Subsequent observational studies and meta-analyses have yielded inconsistent results. Some large observational cohorts suggest that combined MHT may increase dementia risk, particularly with prolonged use (Pourhadi et al., 2023; Vinogradova et al., 2021), whereas others report a potential reduction in risk - especially with estrogen-only therapy initiated during midlife (Nerattini, Jett, et al., 2023; Mosconi et al., 2025). However, more stringent umbrella reviews applying risk-of-bias assessments and GRADE criteria have found no reliable evidence supporting a protective “therapeutic window” for MHT and emphasize substantial uncertainty in the literature (Melville et al., 2025). Across randomized and observational evidence, findings remain heterogeneous and frequently limited by methodological constraints, including imprecision, study design variability, and cohort overlap. As such, current evidence does not support the use of MHT solely for dementia prevention, nor does it definitively establish a causal relationship between MHT and increased dementia risk (Livingston et al., 2024).
Notably, the analysis by Melville et al. (2025) did not account for potential modifying effects of genetic factors such as APOE ε4 status, which may partially explain heterogeneity across studies. Evidence suggests that responses to estrogen-based therapies are genotype- and age-dependent. In younger postmenopausal women (mean age <65 years), estrogen treatment has been associated with beneficial effects on brain structure and amyloid dynamics, including reduced amyloid deposition and preservation of hippocampal and entorhinal cortex volumes - effects that appear most pronounced in APOE ε3/ε4 carriers (Kantarci et al., 2016). However, outcomes in APOE ε4/ε4 homozygotes remain uncertain (Saleh et al., 2023; Depypere et al., 2023), and these benefits are not consistently observed in women over the age of 65 (Yaffe et al., 2000; Burkhardt et al., 2004; Kang et al., 2004; Kang & Grodstein, 2012).
Experimental data further support genotype-specific differences in estrogen responsiveness. In female mouse models, acute estradiol administration into the dorsal hippocampus enhanced object recognition and spatial memory consolidation, along with increased dendritic spine density in the CA1 region, in animals carrying APOE ε3/ε3 or APOE ε3/ε4 genotypes (E3FAD and E3/4FAD), but not in APOE ε4/ε4 mice (E4FAD) (Taxier et al., 2022a; Taxier et al., 2022b). Although the mechanisms underlying this reduced responsiveness remain unclear, APOE ε4/ε4 females exhibit elevated ERα expression without corresponding changes in ERβ levels, suggesting a shift in receptor balance that may influence estrogen signaling outcomes (Taxier et al., 2022a,b).
Importantly, clinical practices such as sequential hormone replacement therapy - where estrogen is administered continuously with intermittent progestin in cycling women - may introduce additional risks. Chronic estrogen exposure in this context has been associated with adverse effects including hyperprolactinemia, hypertension, and metabolic disturbances ( Kalenga et al., 2022; MohanKumar et al., 2018), warranting careful consideration when evaluating endocrine interventions.
A limitation of estrogen-based therapies in postmenopausal individuals with AD is their association with increased risk of hormone-sensitive cancers, including breast and endometrial cancer, largely mediated through the proliferative effects of estrogen receptor alpha (ERα) signaling (Shete et al., 2023). In contrast, activation of ERβ does not promote cancer cell proliferation (Jia et al., 2015) and has been associated with beneficial effects on cognition (Fleischer et al., 2021). Experimental studies demonstrate that ERβ activation enhances memory formation in rodent models (Schwabe et al., 2024), and this receptor is highly expressed in brain regions critical for cognition and neuroendocrine regulation, including the hippocampus, medial prefrontal cortex, and hypothalamus (Almey et al., 2014; Shughrue et al., 1998; Milner et al., 2005).
Importantly, ERβ signaling has been linked to reductions in amyloid-β levels and tau phosphorylation within the hippocampus (Tian et al., 2013; Xiong et al., 2015). Consistent with a protective role, constitutive knockout of ERβ in mice results in increased Aβ42 deposition and ApoE accumulation in the hippocampus and cortex (Zhang et al., 2004). However, evidence from preclinical models indicates that ERβ-mediated benefits may be genotype-dependent, with cognitive and neuropathological improvements observed primarily in E3FAD and E3/4FAD mice, but not in APOE ε4/ε4 models. Together, these findings suggest that while ERβ signaling may offer a more favorable therapeutic profile than non-selective estrogen approaches, its efficacy is likely influenced by underlying genetic and physiological context. Further studies need to be conducted with human subjects to confirm or deny its clinical utility.
Targeting Metabolic Perturbations in Alzheimer’s Disease
Metabolic perturbations in brain cells represent some of the earliest detectable changes preceding the AD phenotype (Naia et al., 2023). These disturbances are further amplified by FSH-associated signaling dynamics, establishing a metabolic environment that predisposes to downstream dysfunction, including impaired autophagy, microglial activation, disrupted glucose utilization, and the accumulation of pathogenic protein species. In this context, metabolic dysfunction is not merely a consequence of disease progression but a key upstream driver of neurodegenerative vulnerability.
Importantly, metabolic alterations within the hypothalamus may also contribute to dysregulation of FSH signaling itself (Zhang et al., 2013). The menopausal transition is characterized by transient elevations in gonadotropin-releasing hormone GnRH, followed by subsequent declines in postmenopausal stages (Hall et al., 2000). Reduced GnRH signaling has been linked to activation of NF-κB/IKK-β-mediated inflammatory pathways (Zhang et al., 2013), suggesting that hypothalamic metabolic reprogramming may precede and facilitate inflammatory signaling cascades that further disrupt neuroendocrine regulation. These interactions point to a bidirectional relationship in which metabolic dysfunction and endocrine dysregulation reinforce one another across aging.
Among therapeutic strategies targeting metabolic dysfunction in AD, ketogenic diets (KD) have emerged as one of the most promising non-pharmacological approaches. Ketogenic interventions have a well-established role in neurological conditions such as epilepsy and are increasingly being explored as adjunctive therapies in disorders including bipolar disorder, glioblastoma, and neurodegenerative diseases. In AD, a randomized trial demonstrated that a 12-week KD intervention improved quality of life and daily functional performance, although interpretation is limited by small sample size and short duration (Phillips et al., 2021). Additional studies report improvements in cognitive function alongside favorable changes in metabolic and biomarker profiles (Neth et al., 2020), including increased cerebral ketone uptake, enhanced brain perfusion, and improved peripheral lipid and glucose metabolism.
A broader range of trials using varied ketogenic formulations has consistently demonstrated beneficial effects in individuals with mild cognitive impairment (MCI) and AD, with evidence suggesting that efficacy may be greatest during early to moderate stages of disease progression (Oliveira et al., 2023). Although the literature remains heterogeneous with respect to study design, intervention protocols, and outcome measures, the collective evidence supports the therapeutic potential of ketogenic strategies in AD (Grammatikopoulou et al., 2020). Additional pharmacologic and non-pharmacologic approaches targeting metabolic dysfunction in AD have also been explored, and readers are referred to Stefaniak et al. (2022) and Wang et al. (2023) for further discussion.
Limitations
Several limitations of the underlying evidence base warrant acknowledgment. First, a substantial proportion of the mechanistic evidence linking FSH to AD-relevant pathways derives from transgenic animal models and cell-based studies, and direct replication in human populations remains limited for many of the pathways discussed. Second, the majority of human epidemiological data examining FSH and cognitive outcomes is observational, precluding causal inference. Third, this review focuses primarily on mechanisms underlying increased AD risk in biological females undergoing reproductive aging; while age-related FSH elevation also occurs in men, the extent to which the mechanisms described here apply across sexes remains to be determined and warrants further investigation. Fourth, the heterogeneity, methodological inconsistency, and cohort overlap that characterize the menopause hormone therapy and dementia literature have been extensively documented and corroborated across independent systematic reviews and umbrella analyses, including those applying formal risk-of-bias criteria (Melville et al., 2025); this reflects the state of the field rather than a limitation of the present synthesis. Fifth, findings from the Women’s Health Initiative Memory Study regarding hormone therapy and dementia risk are subject to important generalizability constraints, as therapy was initiated late in the menopausal transition in women aged 65 and older - a context that differs meaningfully from clinical practice, where treatment typically begins earlier. Outcomes in APOE ε4/ε4 homozygotes within this cohort specifically remain uncertain, and conclusions drawn from this population should not be extended uncritically to younger postmenopausal women initiating therapy closer to the menopausal transition. These constraints are noted not to diminish the mechanistic framework presented, but to identify the specific gaps in human evidence that future work should prioritize.
Conclusion
Alzheimer’s disease emerges not solely from the accumulation of pathogenic proteins, but from progressive disruption of systems that regulate metabolism, protein clearance, inflammation, and vascular integrity. Reproductive aging represents an important transition in female neurobiology, characterized by coordinated endocrine, immunological, and metabolic changes that may reshape vulnerability to neurodegeneration. Within this framework, amyloid-β accumulation and tau pathology can be considered alongside earlier disturbances in mitochondrial function, autophagic-lysosomal clearance, inflammatory signaling, and blood-brain barrier integrity rather than as isolated pathological events.
Among the endocrine changes accompanying reproductive aging, sustained elevations in FSH may represent one contributor to AD vulnerability. Evidence synthesized in this review links elevated FSH with several processes relevant to AD, including altered glucose metabolism, mitochondrial dysfunction, impaired autophagic clearance, changes in apolipoprotein biology, and neuroinflammatory signaling. The strength of evidence supporting these relationships varies considerably. Some have been demonstrated through direct experimental manipulation in animal or cellular models, whereas others — including the predominance of neuronal FSHR-Gαi coupling and any direct action of FSH on microglia — remain mechanistic hypotheses requiring further validation. These pathways may also interact with established genetic risk factors such as APOE ε4 and with age-associated declines in vascular and blood-brain barrier integrity.
Therapeutic strategies targeting FSH signaling remain preclinical. Experimental studies indicate that FSH blockade can attenuate several AD-related phenotypes in animal models, but the safety, efficacy, and relevance of this approach to human disease remain unknown. Other endocrine strategies, including selective modulation of estrogen-receptor pathways, may influence overlapping biological processes but should not be considered equivalent to direct FSH blockade. Future work should clarify the extent to which FSH influences neurodegenerative outcomes in women and men, identify the cellular pathways through which these effects occur, and determine how hypothalamic-pituitary changes across aging shape FSH dynamics. Such studies will be necessary before FSH-associated mechanisms can be translated into clinically meaningful interventions.
Author Contributions
Manuscript drafting and revision, as well as figure development and acquisition, were all conducted by Yasin Ali Muhammad.
Funding Declaration
There was no funding.
Ethics declaration
Ethics declaration not applicable.
Competing Interest declaration
There are no competing interests.
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