Skip to main content
Molecular Biomedicine logoLink to Molecular Biomedicine
. 2026 Apr 2;7:43. doi: 10.1186/s43556-026-00443-2

Alzheimer's disease: from molecular pathways to therapies

Jing-Qiu Feng 1,4,#, Ling-Ling Yang 1,#, Ya-Xi Luo 1,, Xiu-Qing Yao 1,2,3,
PMCID: PMC13047008  PMID: 41925951

Abstract

Alzheimer disease (AD) is the most common neurodegenerative disorder and a leading cause of dementia worldwide. With accelerating population aging, its incidence continues to rise, imposing a substantial burden on public health systems and society. Despite extensive advances in research, currently available therapies remain largely symptomatic and have limited capacity to halt or reverse disease progression. Recent progress in understanding the molecular and cellular mechanisms underlying AD has driven the development of targeted therapeutic strategies, particularly immunotherapies directed against amyloid-β (Aβ) and tau pathology. However, the pathogenesis of AD is highly complex and multifactorial, underscoring the need for a more integrated understanding of the interactions among diverse pathological processes and the identification of additional therapeutic targets. Here, we provide a systematic synthesis of the core pathological mechanisms of AD and their interconnected molecular pathways, together with a comprehensive overview of current targeted therapeutic strategies. We highlight recent advances in Aβ- and tau-directed immunotherapies and further examine emerging interventions targeting neuroinflammation, metabolic dysregulation, the gut microbiota, lifestyle-related factors, and neurogenesis, evaluating their potential based on evidence from both clinical and preclinical studies. By integrating mechanistic insights with therapeutic developments, this review outlines key opportunities and challenges in the evolving landscape of AD treatment. These perspectives may inform the development of next-generation disease-modifying therapies and contribute to a more comprehensive framework for understanding the pathogenesis and treatment of AD.

Keywords: Alzheimer disease, Therapy, Amyloid-β, Tau, Inflammation, Metabolic dysfunction

Introduction

Alzheimer’s disease (AD) is an age-related, progressive neurodegenerative disorder and the most common cause of dementia, accounting for 60%–80% of all cases. With global population aging, the number of individuals affected by AD is projected to triple from approximately 50 million in 2019 to 2050, imposing substantial societal, economic, and caregiving burdens [1, 2]. Despite the growing prevalence of AD, no effective therapies are currently available. Medications used in clinical practice are primarily symptomatic. Agents that provide modest cognitive benefit include cholinesterase inhibitors (donepezil, galantamine, and rivastigmine) and the N-methyl-D-aspartate (NMDA) receptor antagonist memantine. Cholinesterase inhibitors increase acetylcholine (ACh) availability by preventing its breakdown in the synaptic cleft, thereby enhancing the efficiency of degenerating cholinergic neurons and providing modest improvement in symptoms, cognition, and daily function in patients with mild to moderate AD. Memantine, a low-affinity NMDA receptor antagonist, mitigates glutamate-mediated excitotoxicity while preserving normal physiological signaling and is used as an alternative symptomatic therapy for mild to severe AD. However, none of these drugs alter the course of the disease or modify its underlying pathophysiological mechanisms [3, 4].

Over the past decade, most investigational therapies for AD have failed in clinical trials, underscoring the scarcity of effective treatment options. Nevertheless, advances in understanding AD pathobiology have illuminated multiple molecular pathways, with antibody-based targeted therapies achieving notable progress in recent years [5, 6]. Given that extracellular amyloid-β (Aβ) plaque deposition and intracellular neurofibrillary tangles (NFTs) formation represent the defining pathological hallmarks of AD, current efforts have largely focused on monoclonal antibodies directed against Aβ and hyperphosphorylated tau [7]. Simultaneously, glia-mediated neuroinflammation and metabolically driven disruptions of neural networks are increasingly recognized as key drivers of disease progression, offering novel avenues for therapeutic intervention. Moreover, growing evidence highlights the critical roles of the gut microbiota, epigenetic regulation, and neurogenesis in AD pathology. Strategies targeting these processes-including microbiota modulation, lifestyle interventions, small-molecule therapeutics, and natural compounds-hold promise for developing innovative approaches to AD treatment.

Based on these developments, this review synthesizes the core molecular mechanisms underlying AD and their complex interactions and provides a comprehensive overview of emerging targeted therapeutic strategies. We aim to provide an integrative framework that advances mechanistic understanding of AD and current target-based therapeutic strategies, and inform the development of next-generation disease-modifying interventions.

The Key molecular pathways in Alzheimer's disease pathogenesis

The pathogenesis of AD reflects the interplay of genetic, environmental, and lifestyle factors. Scientific understanding has shifted from focusing on single pathological hallmarks toward a more integrated view of the disease’s multidimensional biological mechanisms. Key neuropathological features include abnormal extracellular accumulation of Aβ plaques, intraneuronal hyperphosphorylated tau forming NFTs (Fig. 1). Multiple hypotheses have been proposed to explain AD onset and progression, among which the Aβ and tau hypotheses remain predominant due to their broad relevance across the disease continuum.

Fig. 1.

Fig. 1

Key pathological alterations in the AD brain. Under physiological conditions, microglia and astrocytes provide neuroprotection. As the brain's primary resident immune cells, microglia modulate neuroinflammation by releasing cytokines and phagocytosing neuronal debris and pathological aggregates. Astrocytes, meanwhile, offer metabolic and structural support to neurons. Simultaneously, tau , as a soluble microtubule-associated protein, binds tubulin to assemble and stabilize microtubule structures, ensuring the normal transport of nutrients and signaling molecules within neurons. However, compared with the healthy brain, the AD brain exhibits pronounced atrophy and accumulates the canonical pathological hallmarks: Aβ plaques appear in the brain parenchyma, disrupting synaptic neural signaling. Abnormal tau aggregate into NFTs, destabilizing microtubule structures. Microglia and astrocytes become hyperactivated, releasing excessive pro-inflammatory cytokines that trigger intense neuroinflammation. Collectively, these processes lead to neuronal injury and death, ultimately driving the progressive neurodegeneration characteristic of AD

The amyloid cascade hypothesis

Extensive deposition of Aβ plaques is a defining pathological hallmark of AD, first described in 1984 [8]. Building on this observation, Hardy and Higgins proposed the amyloid cascade hypothesis (ACH), which posits that accumulation of Aβ within the brain parenchyma initiates a sequence of pathological events culminating in neurodegeneration and progressive cognitive decline [9]. Over the subsequent decades, advances in preclinical, clinical, imaging, and genetic research have refined—but consistently reinforced—the centrality of Aβ deposition within this framework [10]. As such, the ACH has profoundly shaped the development of both pharmacological and non-pharmacological therapeutic strategies targeting Aβ as a primary pathogenic driver in AD.

Evidence supporting the ACH comes from pathological studies showing Aβ plaques in multiple brain regions of patients with AD, whereas such deposits are absent in cognitively healthy individuals [11]. Furthermore, plaque presence and density correlate closely with cognitive impairment [12]. Genetic evidence reinforces this hypothesis: (1) in familial AD, mutations in amyloid precursor protein (APP), presenilin 1 (PSEN1), and PSEN2 increase Aβ production, elevate the Aβ42/Aβ40 ratio, and promote plaque formation; (2) in Down syndrome, triplication of the wild-type APP gene leads to early cerebral Aβ deposition, accompanied by microglial proliferation, neurofibrillary tangles, and cognitive deficits later in life [13]; and (3) Apolipoprotein E (ApoE), encoded by the polymorphic APOE gene on chromosome 19, occurs as three major alleles (ε2, ε3, and ε4) that differ in protein conformation, receptor-binding affinity, and stability. Among them, the ε4 allele confers the strongest genetic risk for AD, exhibiting a dose-dependent association with disease risk, age at onset, and Aβ neuropathology. Despite these findings, Aβ-centered ACH remains a primary research framework, however, its validity has been questioned because anti-Aβ therapies have shown limited clinical efficacy and the hypothesis does not account for observations that approximately 60% of individuals over 85 exhibit pathological Aβ accumulation without cognitive impairment [14, 15].

The formation of Aβ plaques is triggered by multiple factors, including excessive production, impaired clearance, and protein aggregation [16, 17], with an imbalance between production and clearance representing the primary driver of plaque accumulation [1820]. Aβ is primarily generated through aberrant cleavage of APP, a type I transmembrane glycoprotein comprising a short intracellular C-terminal domain, an Aβ region, and a large extracellular N-terminal domain [21]. Under physiological conditions, APP is cleaved by α-secretase, which recognizes the protein’s spatial conformation and distance within the membrane, cutting within the Aβ region at amino acids 15–17. This intrapeptide cleavage disrupts the full-length Aβ sequence, generating a soluble α fragment (sAPPα) and leaving a membrane-bound C-terminal α fragment (αCTF). Because the resulting fragments do not contain the intact Aβ sequence and sAPPα exhibits neuroprotective properties, this pathway prevents Aβ formation and participates in synaptic regulation [22]. Consequently, this processing route does not lead to amyloid deposition, is referred to as the non-amyloidogenic pathway [23], and constitutes the primary physiological metabolic route of APP in vivo.

In the amyloidogenic pathway, APP is first cleaved at its N-terminal domain by β-site APP cleaving enzyme (BACE), releasing soluble APP β (sAPPβ) and the membrane-bound β C-terminal fragment (βCTF). The βCTF is subsequently processed by γ-secretase at multiple sites, generating Aβ peptides of varying lengths, with Aβ40 being the most abundant species in the brain, while Aβ42 is more prone to aggregation and represents the key pathogenic form [24]. These cleavages occur at the termini of the Aβ sequence, releasing the intact C-terminal Aβ peptide. The full-length Aβ is inherently “sticky,” readily forming oligomers that can ultimately aggregate into extracellular plaques [16, 17]. Aβ plaques disrupt neuronal signaling, trigger inflammatory responses, and promote cerebral amyloid angiopathy, culminating in neuronal death and cognitive decline [25, 26]. Thus, the amyloidogenic processing of APP constitutes a central pathogenic pathway in AD. Under physiological conditions, Aβ production is balanced by enzymatic degradation. However, in AD, key Aβ-degrading proteases, including insulin-degrading enzyme, angiotensin-converting enzyme, and neprilysin are downregulated [27], leading to excessive accumulation of Aβ.

Tau pathology and neurofibrillary tangles

Another hallmark pathological feature of AD is NFTs, composed of abnormally aggregated tau, most found in the somatodendritic compartments of neurons [2830]. Tau was first identified in 1975 as a highly expressed, soluble microtubule-associated protein in central nervous system (CNS) neurons [30, 31]. Its amino acid sequence includes a positively charged microtubule-binding region (MTBR) that facilitates assembly with tubulin to form stable and mature microtubules [32]. In healthy neurons, microtubules not only provide structural support [33] but also constitute a major component of the cytoskeleton, maintaining cellular morphology and mediating the transport of nutrients and organelles. Adjacent to the MTBR is a proline-rich region (PRR), which is also positively charged under physiological conditions and is repelled by MTBR4 [34].

Aberrant post-translational modification (PTM) of tau is central to both its loss of normal function and acquisition of toxicity. In the early stages of AD pathology, the PRR undergoes PTMs such as phosphorylation, acetylation, and ubiquitination, which impart a negative charge to the PRR [3436]. This charge alteration promotes electrostatic attraction with the positively charged MTBR, inducing conformational changes in tau that facilitate self-association and co-assembly into semi-soluble pre-tangle structures, including paired helical filaments (PHFs) and straight filaments (SFs), distributed throughout the somatodendritic compartment [37]. These filaments further aggregate into insoluble, silver-staining NFTs. Accumulation of NFTs reduces acetylated α-tubulin [35, 36, 38, 39], a key marker of microtubule stability. Consequently, abnormal tau aggregation disrupts the cytoskeleton, paralyzes intracellular transport, deprives synapses of essential nutrients and signaling molecules, and ultimately drives neurodegeneration [40, 41].

Among tau’s PTMs, phosphorylation has been the most extensively studied [42, 43]. Tau can be phosphorylated at multiple sites by a variety of kinases, including protein kinase A, protein kinase C, cyclin-dependent kinase-5 (CDK5), Ca2⁺/calmodulin-dependent kinase II, glycogen synthase kinase-3β (GSK-3β), and mitogen-activated protein kinases (MAPKs) [44, 45]. In the normal adult brain, each mole of tau contains 2–3 mol of phosphate; in AD brains, tau phosphorylation is increased two- to threefold [46]. Hyperphosphorylation of tau results from dysregulation of Ser/Thr kinases such as CDK5 and GSK-3β [45], with GSK-3 functioning as a key tau kinase and its activity critically modulated by the Wnt signaling pathway [47]. Hyperphosphorylated tau compromises axonal microtubule integrity and increases cellular susceptibility to oxidative stress by impairing peroxisome trafficking, ultimately leading to neuronal and synaptic dysfunction [48].

In the early stages of tau pathology, soluble phosphorylated tau (pTau) exists in a dynamic equilibrium and can be dephosphorylated by phosphatases such as calcineurin, restoring its normal function [49, 50]. This dephosphorylation occurs extremely rapidly postmortem, within approximately 15 min [51, 52], rendering early soluble pTau nearly undetectable in routine autopsy brain tissue and leading to its historical underappreciation [49, 50]. Soluble hyperphosphorylated tau can aggregate on microtubules and disrupt endosomal transport, exerting toxicity on dendritic integrity and neuronal function [53]. Furthermore, upon dissociation from microtubules, exposed MTBR domains of tau can interact with Low-Density Lipoprotein Receptor-Related Protein 1 (LRP1) on the cell membrane, facilitating the “seeding” of pTau between neurons and propagating tau pathology across excitatory neuronal networks. Accordingly, the earliest soluble pTau represents the most toxic and seeding-competent species [5356] and constitutes a key driver of neuronal dysfunction [57].

Tau aggregates may exhibit prion-like properties, enabling their propagation throughout the brain [58]. Specifically, misfolded tau within a neuron can be released extracellularly and taken up by neighboring neurons, where it acts as a “seed” to induce misfolding and aggregation of endogenous tau. This process allows tau pathology to spread in an infection-like manner along neuronal connectivity pathways, following a predictable and stereotyped pattern (Braak stages I–VI), beginning in the entorhinal cortex, progressing to the hippocampus, and eventually affecting the entire neocortex [59]. This propagation closely mirrors the progressive cognitive decline observed in AD patients, providing a clear anatomical correlation of disease progression [60, 61]. While traditional views consider the formation of insoluble tau fibrils, such as NFTs, as the key toxic event in AD, studies confirm that NFTs density correlates with cognitive impairment [28, 29]. However, accumulating evidence indicates that smaller, soluble, non-fibrillar tau oligomers, referred to as “invisible tau” [62], play a more critical role in neurotoxicity and the propagation of tau pathology in the CNS [6266].

The interplay between Aβ and tau

Aβ and tau are linked by a potent positive feedback loop, with several key mechanistic nodes. First, tau mediates Aβ toxicity. Tau is an essential component of the Aβ-driven excitotoxicity pathway [67]. In multiple animal models, partial tau reduction protects Aβ-overexpressing AD mice from cognitive impairment, whereas Fyn overexpression exacerbates these deficits [68, 69]. The tau–Fyn–NMDAR signaling axis represents a central mechanism by which tau enables Aβ neurotoxicity [67, 70]. In addition, soluble pTau enhances Aβ production. Immuno-EM studies in aged nonhuman primates show that early soluble pTau species (e.g., pT217-tau) accumulate on dendritic microtubules and “trap” APP-containing endosomes [71], leading to APP retention in BACE-rich compartments and markedly increasing Aβ42 generation [72]. Second, Aβ oligomers amplify tau pathology and calcium dysregulation. Recent evidence demonstrates that Aβ mediates more than 70% of the association between extracellular matrix proteins such as APOE and tau pathology [73]. Aβ potentiates tau toxicity through two principal mechanisms: accelerating tau phosphorylation and promoting tau oligomerization. Aggregated Aβ increases the activity of GSK-3β [74] and CDK5 [75], and may activate MAPKs and GSK-3β to drive PHF-tau formation in AD brain [76, 77]. Moreover, Aβ enhances tau oligomerization through activated CDK5, GSK-3β, and caspase-3, facilitating the formation of soluble toxic tau oligomers and promoting their transcellular spread [7881].

Key contributing pathways and pathogenic cofactors

The onset and progression of AD arise from the convergence of multiple pathogenic pathways and cooperating cofactors. Beyond the core lesions of Aβ deposition and tau hyperphosphorylation, disturbances in calcium homeostasis, mitochondrial dysfunction, synaptic impairment, neuroinflammation, lipid metabolic dysregulation, and genetic risk factors all contribute to a cascading disease process. These pathways are tightly interconnected and reinforce one another through multilayered positive-feedback mechanisms that drive neuronal injury and network deterioration (Fig. 2). A deeper understanding of these pathogenic components and their interactions helps explain the clinical and biological heterogeneity of AD and provides a foundation for subsequent discussions on mechanisms, biomarkers, and therapeutic strategies.

Fig. 2.

Fig. 2

Schematic overview of mechanisms driving neuronal injury in Alzheimer’s disease. Progressive neuronal dysfunction and loss are central to cognitive decline in AD. Under pathological conditions, APP is sequentially cleaved by β-secretase and γ-secretase, generating neurotoxic Aβ peptides that aggregate into extracellular plaques and disrupt synaptic signaling. Tau undergoes abnormal phosphorylation and conformational changes, leading to the formation of NFTs. These aggregates destabilize microtubules, promote cytoskeletal disintegration, and impair axonal transport of nutrients and signaling molecules, ultimately resulting in synaptic dysfunction. Mitochondrial dysfunction represents another key mechanism in AD; oxidative stress and related insults disrupt oxidative phosphorylation in the electron transport chain, leading to neuronal energy deficits and increased vulnerability to degeneration. In addition, hyperactivated microglia and astrocytes accumulate around Aβ and NFTs, releasing pro-inflammatory mediators—including cytokines (e.g., TNF-α and IL-1β) and chemokines—and recruiting peripheral immune cells, thereby amplifying neuroinflammation and aberrant synaptic pruning. Collectively, these processes interact and reinforce one another, forming a pathogenic cascade that ultimately culminates in neuronal death and loss

Neuroinflammation

Accumulating evidence has highlighted neuroinflammation as another central driver of AD, rather than being merely a downstream consequence of AD pathology [8287]. Neuroinflammation represents a complex cellular response of the brain to injury, trauma, or infection, acting as a double-edged sword: it can be protective to neurons under certain conditions but, when inflammatory signaling is overactivated, can damage brain cells [88, 89]. Key mediators include activated and proliferating microglia and astrocytes [90], which under normal conditions provide neuroprotection but become highly deleterious when pathologically overactivated. In AD brains, these cells cluster around NFTs and senile plaques, releasing cytokines, interleukins, and chemokines that amplify neuroinflammation and accelerate disease progression [91, 92].

Microglia are the principal resident immune cells in the brain and exhibit two major activation phenotypes, M1 and M2. The M1 phenotype is proinflammatory and neurotoxic, whereas the M2 phenotype contributes to resolution of inflammation and exerts neuroprotective effects. M1-polarized microglia upregulate proinflammatory cell-surface markers such as MHC-II and CD86 [93, 94] and produce a broad range of inflammatory mediators, including TNF, IL-1, IL-6, IL-12, IL-17, IL-18, and IL-23, thereby driving the initiation and progression of neuroinflammation [9598]. In contrast, M2-polarized microglia release anti-inflammatory factors and neurotrophic molecules that promote immune resolution and tissue repair, mitigating neurotoxic inflammatory responses and supporting neuroprotection [99101].

Under physiological conditions, microglia regulate neuroinflammation by releasing cytokines and by phagocytosing neuronal debris and pathological aggregates, thereby maintaining cerebral homeostasis [102107]. In AD, microglia are tightly linked to both tau and Aβ pathology. In the early disease stage, microglia exhibit protective functions: they recognize and attempt to phagocytose Aβ plaques, and they actively participate in forming plaques composed of Aβ fibrils and associated proteins [108110], promoting the development of insoluble, dense-core plaques [109]. Through these actions, microglia help maintain a dynamic balance between the generation and clearance of small, diffusible Aβ aggregates during the initial stages of AD [109]. At late stages, however, excessive accumulation of misfolded proteins and sustained microglial overactivation trigger robust neuroinflammation [111, 112]. Aberrant Aβ aggregation may initiate this inflammatory cascade, as soluble Aβ oligomers can activate and drive the proliferation of microglia [113, 114]. The resulting expansion of activated microglia leads to increased release of proinflammatory cytokines, which further promotes Aβ plaque formation and establishes a self-amplifying cycle that exerts direct neurotoxic effects-a phase often described as the destructive stage of microglial activation [115, 116]. In addition, tau aggregates and NFTs potentiate microglial activation and senescence, impairing their phagocytic capacity [117, 118]. Internalized tau can activate the NLRP3 inflammasome within microglia, facilitating tau seeding and accelerating AD-related pathology [87, 119].

In addition, Keren-Shaul and colleagues first identified disease-associated microglia (DAM) in AD mouse models in 2017 using single-cell transcriptomics [120122]. DAM represents the terminal state along a continuum from homeostatic microglia to a disease-specific phenotype (stage II DAM) [123]. This phenotype is characterized by downregulation of homeostatic genes and upregulation of late-onset AD (LOAD) risk genes [123125]. DAM exhibits a dual capacity to enhance both phagocytosis and inflammatory responses [126]. They show increased survival, migration, and chemotaxis, preferential clustering around Aβ deposits, elevated production of proinflammatory cytokines (IFN-γ, IL-1β, IL-6, TNF-α), and strengthened phagocytic activity driven by upregulation of lysosomal and phagosome-associated genes [123, 124, 127, 128]. DAM also displays substantial heterogeneity, comprising proinflammatory and anti-inflammatory subpopulations. Proinflammatory DAM emerges early and correlates positively with neuropathology, whereas anti-inflammatory DAM become more prominent in later disease stages [129].

Astrocytes in the brain also respond to immune cues. Under physiological conditions, their primary functions are to provide metabolic and structural support to neurons. Evidence from postmortem studies of individuals with mild cognitive impairment (MCI) or preclinical AD [130], as well as from animal models, indicates that astrogliosis may precede the formation of Aβ. Reactive astrocytes exhibit marked heterogeneity, including the neurotoxic A1 phenotype and the neuroprotective A2 phenotype [131]. A1 astrocytes are induced by activated microglia through proinflammatory cytokines [132]. Similar to microglia, astrocytes adopt a disease-associated state characterized by elevated glial fibrillary acidic protein (GFAP) and increased expression of genes linked to inflammatory signaling and toxic responses [133]. Astrocytes undergo molecular, functional, and morphological remodeling in response to AD pathology [132, 134]. They migrate toward Aβ plaques in response to monocyte chemoattractant protein-1 (MCP-1) and attempt to degrade them. Astrocytes also secrete glypican-4, which promotes tau hyperphosphorylation and thereby directly exacerbates tau pathology. Conversely, NFTs activate complement component 3 (C3) on astrocytes, further amplifying neuroinflammation and neuronal injury. Astrocytes additionally act in concert with microglia to propagate inflammatory signaling.

Mitochondrial dysfunction

Neurons exhibit exceptionally high energy demands to sustain synaptic activity and plasticity, with mitochondria serving as the primary organelles responsible for ATP production [135]. Longitudinal studies indicate that mitochondrial dysfunction represents an early event in AD pathogenesis and may precede Aβ accumulation and tau pathology [136]. Widespread mitochondrial impairments have been documented in AD, including deficits in energy metabolism, heightened oxidative stress, disrupted mitochondrial quality control (biogenesis, dynamics, and mitophagy), and impaired calcium homeostasis [137]. The electron transport chain (ETC), a central component of oxidative phosphorylation, comprises complexes I–IV embedded in the inner mitochondrial membrane [138]. These complexes transfer electrons derived from glucose and fatty acids to molecular oxygen while pumping protons across the membrane to generate the electrochemical gradient required for ATP synthesis [139, 140]. In AD, mitochondrial dysfunction reduces ETC efficiency and diminishes ATP production, leading to severe energy deficits [141143]. The resulting energy failure compromises neuronal viability and exacerbates cellular injury [144].

In AD, downregulation of PGC-1α impairs transcriptional activation of nuclear respiratory factors (NRFs) and mitochondrial transcription factor A (TFAM), resulting in insufficient mitochondrial DNA (mtDNA) replication and inadequate synthesis of essential mitochondrial proteins [145]. This deficiency compromises the oxidative phosphorylation (OXPHOS) system, reduces ATP production, and amplifies ROS generation, exacerbating mitochondrial dysfunction [145]. Mitochondrial dynamics involve two opposing GTPase-regulated processes—fusion and fission—that are critical for maintaining organelle function and adapting to cellular stress [146, 147]. In the prefrontal cortex of patients with AD, levels of dynamin-related protein 1 (DRP1) and fission protein 1 (Fis1) increase with disease progression [148]. Excessive DRP1 activation drives pathological mitochondrial fragmentation, impairs mitochondrial trafficking along axons and dendrites, and disrupts synaptic function [149].

Mitophagy is a selective degradation pathway essential for cellular homeostasis [150]. This process is primarily mediated by the PINK1/Parkin pathway, which is markedly disrupted at multiple steps—from initiation to lysosomal degradation—in AD. At the initiation stage, PINK1 mRNA is reduced in AD brain tissue [151, 152]. Hyperphosphorylated tau further distorts autophagy receptor structure and competes with light chain 3 (LC3) binding, thereby impairing the early recruitment machinery and blocking mitophagy initiation [153]. During autophagosome formation and trafficking, Aβ is enriched at mitochondria-associated membranes [154]. After entering mitochondria and localizing to the cristae, Aβ binds Aβ-binding alcohol dehydrogenase (ABAD) to enhance ROS generation and trigger neuronal apoptosis [155]. Aβ also interacts with Beclin-1 to impair autophagosome nucleation [156] and inhibits ATG4-mediated LC3 processing, disrupting mitochondrial recognition and sequestration [157]. Tau pathology further impairs autophagosome transport by binding to motor proteins and reducing their motility in a concentration-dependent manner [158]. At the lysosomal degradation stage, mitophagy strongly depends on lysosomal integrity, which is profoundly compromised in AD brains, thereby exacerbating mitochondrial dysfunction [159]. Downregulation of the lysosomal biogenesis regulator transcription factor EB (TFEB), together with reduced expression of lysosomal markers such as  lysosomal-associated membrane protein 1 (LAMP1) in AD models, further impairs degradative capacity [160]. Accumulation of Aβ within autophagic vesicles disrupts their fusion with lysosomes, amplifying mitochondrial defects [160]. In addition, tau sequesters Parkin in the cytosol and prevents its recruitment to damaged mitochondria, thereby weakening mitophagic clearance [161].

Metabolic dysregulation

Metabolic dysregulation is a fundamental pathological feature of AD, characterized primarily by impaired glucose metabolism, insulin resistance, and disrupted lipid homeostasis. Reductions in cerebral glucose metabolism represent an early diagnostic hallmark of AD [162164]. These deficits are driven by two major processes: impaired glucose transport across the blood–brain barrier (BBB) and defects in intracellular glucose catabolism, the latter being partly dependent on mitochondrial function [165]. Cerebral glucose utilization is tightly regulated by glucose Transporters (GLUTs) to ensure adequate delivery to neurons and glial cells for energy production. In AD, reduced O-GlcNAcylation suppresses the expression of GLUT1 and GLUT3 [166]. The resulting oxidative stress perturbs cellular membranes and disrupts signaling pathways that regulate transporter expression, establishing a self-reinforcing cycle of progressive bioenergetic failure [167, 168]. Moreover, Aβ plaques can markedly impair cellular glucose uptake [169], and reduced glucose availability subsequently limits substrate entry into the tricarboxylic acid cycle, diminishing the generation of NADH and FADH₂ [170, 171].

Insulin resistance in the brain also contributes to the pathogenesis of AD. Cerebral insulin resistance is observed in AD patients, characterized by increased serine phosphorylation of insulin receptor substrate-1 (IRS-1) in the hippocampus and cortex, which correlates with tau and Aβ pathology [172]. Impaired insulin signaling reduces AKT phosphorylation, resulting in dysregulated GSK-3β activity, which promotes tau hyperphosphorylation and NFTs formation, exacerbating ATP depletion and oxidative stress [173, 174]. Insulin resistance also disrupts signaling via the mTORC1 and mTORC2 complexes, which regulate metabolic activity, mitochondrial biogenesis, autophagy, and protein synthesis [173]. Impaired mTOR activity further compromises mitophagy, leading to the accumulation of dysfunctional mitochondria [173]. Meanwhile, chronic neuroinflammation can aggravate insulin resistance, as pro-inflammatory cytokines, including tumor necrosis factor-α and interleukin-6, impair insulin signaling and promote oxidative stress [175].

Lipid metabolism dysregulation represents another pathogenic mechanism in AD. Lipids are abundant in the CNS and play critical roles in cellular structure, signal transduction, and energy homeostasis [176, 177]. AD is characterized by widespread alterations in blood lipids and regional brain lipid composition, including fatty acids and broader lipid metabolic pathways [178181]. For instance, elevated serum low-density lipoprotein cholesterol has been associated with AD [182, 183], while monoacylglycerols and diacylglycerols increase in the frontal cortex and plasma during early disease stages [184], and plasma triglycerides are reduced in MCI and AD [185]. Most cholesteryl esters, particularly long-chain species, decreased in AD [186, 187]. Cholesteryl esters, as storage forms of excess cholesterol, have been identified as upstream regulators of tau pathology, and their reduction enhances proteasome activity, lowering tau phosphorylation [188]. Recent studies show that overexpression of the low-density lipoprotein receptor (LDLR) significantly reduces APOE levels and mitigates neurofibrillary degeneration and neurodegeneration in P301S mice [189191].

Synaptic dysfunction and neurotransmitter deficits

Analyses of AD brains have shown functional impairment and selective loss of multiple proteins essential for maintaining synaptic structure and function, including synapsin, synaptophysin, and neurogranins. The reduction of these proteins is closely correlated with the severity of dementia [192, 193]. In the hippocampus, early AD is marked by decreased levels of key postsynaptic proteins involved in synaptic morphology and plasticity, including drebrin and postsynaptic density protein 95(PSD-95) [194]. Beyond synaptic proteins, microRNAs (miRNAs) have gained increasing attention in recent years [195197]. miRNAs are small non-coding RNAs that regulate gene expression [198, 199] and contribute to synaptic dysfunction in AD by modulating the expression of synaptic proteins and transcription factors [195, 196, 200203]. They exert distinct functions across synapse formation, maturation, plasticity, transmission, and termination [196]. For example, miR-455-3p regulates genes involved in APP processing and Aβ production and influences mitochondrial and synaptic biogenesis pathways [200, 204, 205]. Dysregulation of miR-455-3p disrupts these pathways and contributes to synaptic loss, impaired neurotransmission, and cognitive deficits characteristic of AD [204]. Similarly, miR-128 reduces tau phosphorylation and Aβ accumulation by inhibiting key regulatory proteins such as GSK-3β, Aβ precursor protein binding protein 2 (APPBP2), and mammalian Target of Rapamycin (mTOR) [206].

Selective neuronal populations undergo degeneration in AD, leading to profound disruptions in key neurotransmitter systems. The cholinergic system-comprising neurons that produce acetylcholine-is essential for memory, learning, and cognition [207]. A marked reduction in ACh is a central contributor to memory impairment and cognitive decline in patients with AD. In AD, acetylcholinesterase (AChE) activity is significantly increased, accelerating the degradation of synaptic ACh, reducing its availability, and thereby diminishing the efficiency of neuronal signaling. The nucleus basalis of Meynert in the basal forebrain is the principal source of cholinergic projections to the cerebral cortex. Neurons within this region undergo substantial degeneration, resulting in impaired cholinergic regulation, reduced cholinergic innervation of the cortex and hippocampus, and a pronounced decline in ACh levels [208], collectively contributing to deficits in memory and attention [209].

Genetic risk factors

AD is highly heritable, with an estimated 60–80% of disease risk attributable to genetic factors. Its genetic architecture is complex, involving contributions from rare, high-penetrance variants as well as common alleles of modest effect. For instance, APOE, a secreted protein produced primarily by astrocytes, plays central roles in lipid transport, modulation of neuroinflammation, and neuronal repair [210213]. A large study of 28,864 participants demonstrated that ε4 carriers represent a substantial proportion of late-onset AD cases [214], and individuals with ε4 show higher Aβ plaque burden and earlier Aβ pathology [215, 216]. APOE regulates Aβ aggregation and clearance through direct interactions that depend heavily on its lipidation state; poorly lipidated APOE is prone to oligomerization, forming scaffolds that facilitate Aβ aggregation, while its reduced affinity for Aβ impairs microglial-mediated clearance [217219]. Beyond Aβ-dependent mechanisms, APOE also exacerbates tau propagation and tau-associated neurodegeneration. Notably, deletion of endogenous APOE mitigates neurodegeneration without altering tau protein levels, suggesting that its effects are mediated largely through downstream processes such as microglial-driven neuroinflammation [220, 221]. APOE isoforms further modulate the aggregation of both Aβ and tau and directly shape microglial inflammatory responses in AD [220, 222].

Advances in modern genomics, particularly large-scale genome-wide association studies, have identified more than 70 AD-associated genetic loci, underscoring the marked heterogeneity and polygenic nature of the disease [223226]. Among these, TREM2 represents a key risk gene whose function is primarily mediated by microglia within the CNS, highlighting the tight intersection between genetic susceptibility and immune responses at the microglial level [227]. BIN1, another major risk factor for sporadic AD, contributes to disease pathogenesis by regulating L-type voltage-gated calcium channels and thereby driving calcium dysregulation [228], and may also facilitate tau internalization and propagation [229].

Emerging pathways: beyond classical pathogenic mechanisms

An increasing number of emerging pathogenic pathways have been shown to play critical roles in the onset and progression of AD. For example, gut microbiota dysbiosis can influence the CNS through the gut-brain axis. Epigenetic alterations, meanwhile, bridge genetic susceptibility and environmental exposures, exerting long-lasting regulation over genes involved in synaptic function, inflammatory responses, and protein homeostasis, thereby contributing to disease progression. Impaired neurogenesis is closely associated with declines in learning and memory. These emerging pathways intertwine with and amplify classical pathological mechanisms, collectively forming a complex and dynamic pathogenic network that offers new avenues for early diagnosis and targeted intervention.

Gut microbiota

The gut microbiota has emerged as one of the most notable pathogenic mechanisms in AD research in recent years. Metagenomic analysis of fecal samples across five stages of pathological progression in AD patients revealed that over 10% of microbial species undergo significant changes during disease development [230]. AD is characterized by systemic and intestinal inflammation, accompanied by a decrease in the abundance of Firmicutes and an increase in Bacteroidetes [231]. Specific gut microbial features have also been linked to preclinical AD, with pathways such as arginine and ornithine degradation showing a correlation coefficient as high as 0.967 with preclinical AD status [232]. Preclinical studies have demonstrated a causal relationship between the gut microbiota and AD pathology through microbial transplantation experiments. For example, fecal samples from AD patients transplanted into Thy1-C/EBPβ transgenic mice pretreated with a broad-spectrum antibiotic cocktail induced AD-like pathology, accompanied by microglial activation and cognitive deficits, with Bacteroides fragilis identified as a key pathogenic species [233]. Transplantation of gut microbiota from patients into healthy young adult rats also induced typical AD-associated cognitive impairments and reduced neurogenesis [231]. Similarly, fecal microbiota transfer from AD patients exacerbated neuropathology and cognitive deficits in AD mouse models [234, 235]. Oral exposure to Escherichia coli (E. coli) exacerbates cognitive deficits and increases Aβ pathology in the 5xFAD mouse model of AD [236], underscoring the critical role of the gut microbiota in AD pathogenesis.

At the molecular level, the gut microbiota exerts its effect primarily through microbial metabolites. For instance, indole-3-propionic acid (IPA) levels in feces and serum are significantly reduced in individuals with MCI and AD, and serum IPA correlates strongly with cognition. IPA crosses the BBB and activates neuronal pregnane X receptor (PXR), inhibiting NF-κB activation and BACE1 expression, thereby reducing Aβ accumulation and ameliorating cognitive deficits in AD mice [237]. Dysbiosis can also lead to peripheral accumulation of phenylalanine and isoleucine, which stimulate proinflammatory Th1 cell proliferation and differentiation, subsequently activating M1 microglia and promoting AD progression [238]. Furthermore, microbiota secretes substantial amounts of lipopolysaccharide (LPS), which may enhance microglial activation and proinflammatory cytokine production in the AD brain, while other microbial metabolites such as short-chain fatty acids (SCFAs) and trimethylamine N-oxide (TMAO) contribute to AD pathology through mechanisms including neuroinflammation, neurotransmitter imbalance, and mitochondrial dysfunction [239]. In addition, the gut serves as a significant source of peripheral Aβ, which can be transported to the brain via the circulation, and induces neuroinflammation in APP/PS1 mice, recapitulating phenotypes characteristic of early AD pathology [240].

Epigenetic regulation

Epigenetic modifications, including DNA methylation, chromatin remodeling, histone modifications, and noncoding RNA regulation-modulate gene expression without altering the underlying DNA sequence, thereby integrating external stimuli into the genome [241]. Analysis of the epigenomic and transcriptomic landscapes of 850,000 nuclei from the prefrontal cortex of 92 individuals with and without AD revealed widespread epigenomic dysregulation in the brains of late-stage AD patients [242]. Genome-wide DNA methylation profiling using methylation arrays identified significant methylation changes in lipid-regulatory genes such as CTNNB1 and SLC27A1, as well as in the lysosomal transmembrane gene TMEM175, suggesting that abnormal epigenetic regulation of lysosomal genes and disrupted lipid homeostasis represent important risk factors for AD [243]. Histone lysine lactylation (Kla) represents a novel epigenetic modification. H3K18la is markedly upregulated in senescent microglia, as well as in the hippocampi of naturally aged and AD model mice. Its elevated expression directly activates the NF-κB signaling pathway, promoting the senescence-associated secretory phenotype and thereby accelerating both aging and AD-related phenotypes [244]. In a separate study, histone lactylation was found to be increased in brain tissue from 5xFAD mice and AD patients, with H4K12la specifically enriched in microglia adjacent to Aβ plaques. This lactate-dependent histone is concentrated at the promoters of glycolytic genes, enhancing transcription and glycolytic activity, and ultimately exacerbating microglial dysfunction in AD [245].

A recent study identified reduced lactylation at APP K612 as a critical pathological alteration driving amyloidogenic processing of APP in AD brain tissue. The APP K612T mutation, by enhancing the interaction between APP and CD2-associated protein (CD2AP) within endosomes, promotes APP degradation via the endosome-lysosome pathway [246]. In Drosophila neurons, overexpression of Aβ induces aberrant histone acetylation (H3K9ac) in glial cells and completely disrupts presynaptic homeostasis at neuromuscular junctions [247]. Succinylation, a metabolism-linked PTM, was quantitatively profiled in the brains of AD patients and healthy controls, revealing pronounced increases at key lysine residues of APP and microtubule-associated tau. Succinylation of APP disrupts its normal proteolytic processing, thereby promoting Aβ accumulation and plaque formation, whereas tau succinylation facilitates its aggregation into NFTs and impairs microtubule assembly [248]. Therefore, epigenetic regulation has also been recognized as a potential therapeutic target for AD [249, 250].

Neurogenesis

The hippocampus is a central hub for cognition and memory and is among the earliest brain regions affected in patients with AD. The dentate gyrus (DG), a subregion of the hippocampus, is closely associated with learning and memory, particularly pattern separation. A distinctive feature of the DG is that it harbors a so-called “neurogenic niche”, in which stem cells continuously generate new neurons in the adult brain through a specialized form of cellular plasticity known as adult hippocampal neurogenesis (AHN) [251]. Adult-born hippocampal neurons synaptically integrate into mammalian hippocampal circuits and contribute to structural and functional plasticity, thereby supporting cognitive functions such as spatial learning, pattern separation, and memory, as well as emotional regulation [252]. Accumulating evidence indicates that patients with AD exhibit a marked reduction in neurogenesis [253], and with disease progression, both the number and the degree of maturation of newly generated neurons decline progressively [254]. These findings suggest that impaired neurogenesis may represent an important potential mechanism underlying memory deficit in AD and other neurodegenerative diseases [255].

Single-nucleus RNA sequencing has revealed a reduction in the number of immature granule cells (imGCs) in patients with AD, accompanied by profound alterations in gene expression profiles. As imGCs are critical for maintaining synaptic plasticity, their loss is likely to be closely associated with the decline in memory and cognition observed in AD [256]. In 5xFAD mice, impairment of hippocampal neurogenesis precedes the onset of behavioral deficits, and activation of adult-born neurons in the hypothalamus ameliorates memory and affective impairments in AD model mice [257]. Moreover, enhancing neurogenesis restores the number of newly recruited neurons within memory engrams, rescues dendritic spine density, and reshapes the transcriptional profiles of both immature and mature neurons, ultimately leading to the recovery of contextual and spatial memory [258]. In both postmortem brain tissue from patients with AD and AD mouse models, astrocytes exhibit upregulated expression of chitinase-3-like protein 1 (CHI3L1), which impairs neurogenesis via the CRTH2-IKKβ-S6K1 signaling pathway. Targeting its receptor, CRTH2, to inhibit CHI3L1 effectively restores neurogenesis and cognition in AD mice [259]. Collectively, these findings indicate that disrupted neurogenesis may represent a key pathogenic mechanism underlying memory impairment in AD, and that targeting hippocampal neurogenesis or developing pro-neurogenic therapies holds promise as a potential therapeutic strategy for AD [260].

From pathways to targets: evolution of therapeutic strategies

In recent years, key pathological nodes, including Aβ deposition, tau hyperphosphorylation, neuroinflammation, and metabolic disruption, have been progressively delineated. Therapeutic concepts in AD have shifted from broad pathway modulation toward precise targeting of core pathogenic processes. In this section, we highlight recent advances in therapeutics targeting Aβ, tau, inflammatory signaling, and metabolic dysfunction, and outline emerging strategies and candidate agents that may inform next-generation interventions. We summarized the key historical milestones in Aβ- and tau-targeted therapeutic research in Fig. 3.

Fig. 3.

Fig. 3

Milestones in the development of Aβ-targeted and tau-targeted therapies. This figure summarizes key milestones in the discovery of Aβ and tau pathologies, the identification of associated genes, the formulation of major pathogenic hypotheses, and the development of targeted therapeutics. After decades of drug development, the anti-Aβ monoclonal antibodies Aducanumab (2021), Lecanemab (2023), and Donanemab (2024) received FDA approval, representing significant advances in disease-modifying therapies. In contrast, between 2021 and 2023, several tau-targeting immunotherapies (including Gosuranemab, Tilavonemab, Zagotenemab, and Semorinemab) failed to meet primary endpoints in clinical trials. Meanwhile, the antisense oligonucleotide BIIB080, which reduces tau translation by targeting MAPT pre-mRNA and promoting its degradation, has demonstrated promising therapeutic potential in clinical studies

Anti-Aβ therapies

Therapeutic strategies targeting Aβ have primarily focused on reducing its production via secretase inhibitors or enhancing its clearance through immunotherapy [14] (Fig. 4). Additionally, recent studies have highlighted the potential of agents that inhibit Aβ aggregation [261]. Table 1 summarizes recent studies on Aβ-targeted therapeutic strategies and their principal findings.

Fig. 4.

Fig. 4

Illustration of Aβ-targeted therapies. This figure summarizes representative therapeutic agents targeting Aβ in AD. Aβ arising from sequential cleavage of APP by β- and γ-secretases, in contrast to the non-amyloidogenic α-secretase pathway. Aβ monomers aggregate into oligomers, protofibrils, and fibrils, ultimately forming neurotoxic amyloid plaques. Therapeutic strategies include secretase inhibitors/modulators that reduce Aβ production and immunotherapies that enhance Aβ clearance by targeting distinct conformational and aggregation states. Monomer-targeting antibodies include Solanezumab, ABvac40, Crenezumab, and Bapineuzumab. Antibodies against oligomers or soluble aggregates include Aducanumab, Crenezumab, Bapineuzumab, and Lecanemab, with Bapineuzumab and Lecanemab also binding protofibrils. Gantenerumab primarily targets fibrillar Aβ. Antibodies recognizing N-terminally truncated or modified Aβ species in plaques include Donanemab, Gantenerumab, Crenezumab, Bapineuzumab, and Trontinemab

Table 1.

A summary of recent studies on Aβ-targeted therapeutic strategies and their principal findings

Drug Mechanism of action Study population Phase Conclusion Trial ID Ref
Bapineuzumab Monoclonal antibody specific to the N-terminus of the Aβ protein designed to decrease plaque formation and promote clearance of Aβ Mild to moderate AD phase 3 No effect of bapineuzumab on amyloid load or cerebrospinal fluid phosphorylated tau NCT00667810 NCT00676143 [262]
Solanezumab Monoclonal antibodies for monomeric amyloid proteins Mild dementia of AD/Dominantly inherited AD phase 3 Did not significantly affect cognitive decline NCT01900665NCT01760005 [263, 264]
Aducanumab Preferentially recognizes aggregated forms of Aβ and facilitates plaque removal Mild cognitive impairment or mild dementia of AD phase 3 In EMERGE, the high-dose group showed a statistically significant slowing of clinical decline on the primary endpoint (CDR-SB) and on three secondary endpoints (MMSE, ADAS-Cog13, and ADCS-ADL-MCI) NCT02484547 NCT02477800 [265]
Lecanemab Monoclonal antibodies targeting protofibrils and plaques, preferentially targets Aβ protofib Mild cognitive impairment or mild dementia of AD phase 3 Reduced markers of amyloid in early AD and resulted in moderately less decline on measures of cognition and function NCT03887455 [266]
Donanemab An immunoglobulin G1 monoclonal antibody directed against insoluble, modified, N-terminal truncated form of Aβ present only in brain Aβ plaques Early AD phase 2/3/3b Donanemab improved composite measures of cognition and daily functioning and most effectively slowed tau accumulation in participants with complete amyloid clearance and in brain regions affected later in the pathological sequence. At 76 weeks, it significantly delayed clinical progression in individuals with low to medium tau levels, as well as in the combined population with low/medium and high tau pathology NCT03367403NCT04437511NCT05108922NCT05738486 [267271]
Gantenerumab A subcutaneously administered, fully human, anti-Aβ IgG1 monoclonal antibody with highest affinity for aggregated Aβ, including oligomers, fibrils, and plaques Dominantly inherited AD phase 2/3 Gantenerumab markedly reduced amyloid plaques, CSF tTau and pTau181, and attenuated increases in NfL. It also decreased CSF neurogranin and plasma GFAP while increasing CSF sTREM2, but showed limited effects on cognition. Partial or short-term Aβ clearance produced no significant clinical benefit NCT01760005NCT06424236NCT04623242 [264, 272, 273]
Mild cognitive impairment or mild dementia of AD phase 3 Gantenerumab significantly reduced amyloid plaque burden and modulated cerebrospinal fluid and plasma biomarkers. It was associated with an increased rate of whole-brain volume loss, while hippocampal volume remained unchanged NCT03444870 NCT03443973 [274276]
Crenezumab A humanized anti-Aβ monoclonal immunoglobulin G4 antibody, binds monomeric and aggregated Aβ, with higher affinity for oligomeric Aβ Prodromal to mild (early) AD phase 3 Crenezumab was well tolerated but did not reduce clinical decline in participants with early AD NCT02670083 NCT03114657 [277]
ALZ-801/valiltramiprosate A small-molecule oral inhibitor of Aβ aggregation and oligomer formation APOE4 carriers with early AD phase 2 ALZ-801 lowered plasma p-tau181 over two years, attenuated hippocampal atrophy, and was not associated with vasogenic cerebral edema NCT04693520 [278]
Sabirnetug (ACU193) A humanized monoclonal antibody selective for soluble Aβ oligomers mild cognitive impairment and mild dementa of AD phase 1 After three doses, sabirnetug showed biomarker changes suggesting potential neuroprotective effects NCT06335173 [279]
Solanezumab An immunoglobulin G1 monoclonal antibody that binds to the mid-domain of the Aβ monomer Preclinical AD phase 3 Did not slow cognitive decline as compared with placebo over a period of 240 weeks in persons with preclinical AD NCT02008357 [280]
KHK6640 A novel humanized anti-Aβ oligomer-specific antibody Mild to moderate AD Phase 1/2a KHK6640 was well-tolerated across all doses, without any amyloid-related imaging abnormalities for edema, and amyloid-related imaging abnormalities for hemorrhage was as population background / [281]
Posiphen An orally administered small molecule, binds to an iron-responsive element in APP mRNA and decreases translation of APP and Aβ Early AD phase 1b Posiphen was safe and well-tolerated in Early AD NCT02925650 [282]

This list of preclinical projects is not exhaustive but illustrates representative recent studies evaluating Aβ-targeted therapeutic agents

amyloid-β, AD Alzheimer's disease, ARIA-E Amyloid-related imaging abnormalities Edema, CDR-SB Clinical Dementia Rating-Sum of Boxes, CSF cerebrospinal fluid, GFAP glial fibrillary acidic protein, sTREM2 soluble triggering receptor expressed on myeloid cells 2

Direct infusion of monoclonal antibodies to rapidly clear Aβ represents the most advanced and currently the only approved disease-modifying therapy, ushering in a new era of AD treatment [283]. First-generation monoclonal antibodies, which targeted non-toxic Aβ monomers-including bapineuzumab (fibrillar Aβ), solanezumab (NCT02008357, monomeric Aβ), and crenezumab-demonstrated modest reductions in brain Aβ burden but failed to produce cognitive benefits in phase III clinical trials [284286]. The turning point in Aβ immunotherapy came with second-generation antibodies, which are directed against pathogenic Aβ species and aggregates. Representative agents include aducanumab, lecanemab, donanemab, and gantenerumab [287]. Aducanumab (NCT04241068), a human monoclonal antibody selectively targeting aggregated Aβ, penetrates the brain in AD transgenic mouse models, binds parenchymal Aβ, and dose-dependently reduces both soluble and insoluble Aβ. Preclinical studies with murine chimeric aducanumab demonstrated effective plaque clearance but did not attenuate microglial proliferation; instead, it exacerbated astrocytic activation associated with plaques, suggesting potential activation of cytotoxic pathways and other adverse consequences [288]. In patients with prodromal or mild AD, monthly intravenous infusion of aducanumab for 12 months reduces brain Aβ levels and improves cognitive performance [289], with Aβ-related imaging abnormalities-edema (ARIA-E) being the most common adverse event [290]. Although aducanumab received accelerated FDA approval in 2021, its clinical efficacy remains highly controversial [291].

Lecanemab, a humanized IgG1 monoclonal antibody with high affinity for soluble Aβ protofibrils, reduces Aβ-related biomarkers in early AD and slows cognitive and functional decline over 18 months compared with placebo [266]. Lecanemab (NCT03887455) received full FDA approval in 2023, though safety concerns persist [292, 293]. A recent real-world study in China reported clinical efficacy of lecanemab in patients with AD-MCI and mild AD, while outcomes were less favorable in more advanced cases, supporting its favorable safety profile in clinical practice [294]. Donanemab is an IgG1 monoclonal antibody targeting an insoluble, N-terminally truncated, post-translationally modified form of Aβ confined to amyloid plaques. In a phase 3 trial, donanemab slowed AD progression [269]. Gantenerumab, a fully human, subcutaneously administered anti-Aβ IgG1 antibody with high affinity for aggregated Aβ, including oligomers and fibrils, showed limited efficacy in early symptomatic AD [274]. In the four-year DIAN-TU-001 trial, gantenerumab produced no improvement in neurodegenerative imaging biomarkers or neuropathology [295].

These antibodies underscore the therapeutic potential of Aβ targeting but share a risk of ARIA and primarily slow, rather than halt, disease progression [296]. Additional Aβ-directed antibodies are under investigation. Sabirnetug (ACU193) selectively targets soluble Aβ oligomers and crosses the BBB, engaging its target in early-phase studies (INTERCEPT-AD, NCT04931459) [279]. ABBV-916 binds N-terminally truncated, pyroglutamate-modified Aβ (AβpE3) and effectively reduces plaques in preclinical models without inducing microhemorrhages, supporting its potential as a next-generation therapeutic currently in clinical evaluation [297].

Therapeutic strategies targeting tau

In recent years, tau-targeted approaches-including immunotherapy, small molecules, antioxidant enzymes, and gene therapy-have entered clinical development. These therapies aim to inhibit tau hyperphosphorylation, prevent tau aggregation, promote tau clearance, or reduce tau production (Fig. 5). Table 2 summarizes recent studies on tau-targeted therapeutic strategies and their principal findings. Strategies targeting tau hyperphosphorylation largely focus on GSK-3 as a primary target. Tideglusib, a GSK-3β inhibitor, significantly reduced APP and pTau in the hippocampus of AD mice and improved spatial learning and memory. However, a phase II trial in patients with mild-to-moderate AD (NCT01350362) failed to meet its primary endpoints [304]. Computational screening of Tideglusib-based multi-target analogs recently identified SG-09 as a potential GSK-3β inhibitor [305]. With emerging evidence for GSK-3α’s role in AD pathology, selective inhibition of GSK-3α has been proposed; for example, an ATP-competitive GSK-3α inhibitor studied by Brenda Amaral et al. reduced tau phosphorylation in neonatal rat brains, suggesting potential to slow early pathology [306].

Fig. 5.

Fig. 5

Schematic diagram of intervention strategies targeting tau pathology. Therapeutic strategies targeting tau pathology aim to reduce tau production, inhibit hyperphosphorylation, stabilize microtubules, prevent aggregation, and enhance clearance. Antisense oligonucleotides (BIIB080, ASO-001933) degrade MAPT pre-mRNA to suppress tau translation. Hyperphosphorylation is limited via kinase inhibitors (Tideglusib, Lithium, Valproate) or phosphatase activators (sodium selenate). Microtubule-stabilizing agents (Epothilone D, CNDR-51997) preserve cytoskeletal integrity. Small-molecule aggregation inhibitors (Methylene blue, Anle138b) prevent or reverse tau aggregation. Immunotherapies (Semorinemab, Gosuranemab) promote immune-mediated clearance by targeting specific tau domains, particularly the N-terminus

Table 2.

A summary of recent studies on tau-targeted therapeutic strategies and their principal findings

Drug Mechanism of action Study population Phase Conclusion Trial ID Ref
MAPTRx (ISIS 814907/BIIB080) An antisense oligonucleotide designed to reduce concentrations of MAPT messenger RNA Mild AD phase 1b MAPTRx was well tolerated and resulted in a sustained reduction of tau protein levels. Reduced tau biomarkers, including CSF t-tau, CSF p-tau181, and tau PET, which is associated with cognitive decline, in participants with mild AD NCT03186989 [298, 299]
Semorinemab A humanized IgG4 monoclonal antibody that targets the N-terminal domain of tau Prodromal to mild AD phase 2 Semorinemab did not slow clinical AD progression compared with placebo throughout the 73-week study period but did demonstrate an acceptable and well-tolerated safety profile NCT03289143 [300]
Mild to moderate AD phase 2 Semorinemab was safe and well tolerated, did not slow functional decline in patients with mild-to-moderate AD NCT03828747 [301]

ACI-35.030

JACI-35.054

A SupraAntigen®-based liposome

A CRM197 carrier-protein conjugate

Early AD phase 1b/2a The two active immunotherapies were well tolerated and generated robust titres against pathological Tau species NCT04445831 [302]
Etalanetug An anti-tau monoclonal antibody, is intended to inhibit spreading of pathologic tau species by binding to the microtubule binding region Healthy volunteers phase 1 Etalanetug had an adequate safety and immunogenicity profile in healthy adults / [303]

This list of preclinical projects is not exhaustive but illustrates representative recent studies evaluating tau-targeted therapeutic agents

CSF cerebrospinal fluid, AD Alzheimer's disease

A recent study demonstrated that lithium exerts anti-dementia effects by inhibiting GSK-3β, thereby reducing tau phosphorylation, and by modulating downstream GSK-3 signaling, including upregulation of BDNF and Bcl-2 and stabilization of disrupted calcium homeostasis, supporting brain health and long-term cognitive function [307]. Another strategy to reduce tau phosphorylation targets O-GlcNAcylation. O-GlcNAc modification at serine and threonine residues antagonizes phosphorylation, and O-GlcNAcase inhibitors increase tau O-GlcNAc levels to suppress multi-site hyperphosphorylation and fibrillization. Tau aggregation inhibitors primarily rely on small molecules designed to prevent misfolding and assembly or to disassemble existing  NFTs. Hydromethylthionine mesylate is a representative agent, acting to inhibit tau aggregation and depolymerize pathological tau oligomers and filaments [308, 309].

Tau immunotherapy is categorized into active (vaccines) and passive (monoclonal antibodies) approaches, both designed to harness the immune system to clear pathological tau. AADvac1 (NCT02579252) is the first tau vaccine to enter clinical trials and has been shown to delay AD-related cognitive decline via antibody-dependent mechanisms [310]. In a preclinical study using a Qβ virus-like particle vaccine targeting pTau at threonine 181, the pT181-Qβ vaccine effectively reduced tau phosphorylation, insoluble tau burden, and NFTs in PS19 and hTau mouse models as well as in young adult non-human primates, highlighting its therapeutic potential [310]. Passive immunotherapy involves monoclonal antibodies targeting distinct pathological tau epitopes. Tilavonemab (NCT02880956), an IgG4 antibody binding the N-terminus of human tau and soluble extracellular tau, failed to slow disease progression or improve cognition in early AD patients [311]. Etalanetug (E2814) is a monoclonal antibody that targets the MTBR of tau to inhibit pathological tau propagation [303]. Semorinemab, a humanized IgG4 antibody recognizing the N-terminal domain (residues 6–23) and all full-length tau isoforms, did not reduce brain tau accumulation or slow clinical decline in a phase II AD trial (NCT03289143) [300, 301].

Anti-neuroinflammation therapies

Considering the critical contribution of central neuroinflammation and peripheral immune responses to the pathogenesis of AD, targeting inflammatory pathways has emerged as a new therapeutic direction [312]. Current anti-inflammatory strategies primarily focus on modulating microglia and astrocytes as key cellular mediators of neuroinflammation (Table 3).

Table 3.

A summary of recent therapeutic strategies targeting novel AD–related pathways and their principal findings

Drug Mechanism of action Study population Phase Conclusion Trial ID Ref
LM11A-31 Functions as a p75NTR modulator to downregulate its degenerative signaling and as an antagonist to pro-NGF-induced degeneration Mild to moderate AD phase 2a LM11A-31 was generally well tolerated in a population with mild to moderate AD NCT03069014 [313]
AL101 (GSK4527226) A monoclonal antibody therapy in development for AD that targets sortilin to elevate functional PGRN levels Healthy volunteers phase 1 Both single and multiple doses of AL101 led to significant increases in plasma and CSF PGRN levels NCT04111666 [314]
CT1812 An orally bioavailable, brain penetrant small molecule antagonist of the sigma‐2 receptor complex to block Aβ oligomer toxicity Mild to moderate AD phase 1b/2a CSF Aβ oligomers increased with CT1812, indicating displacement and clearance of toxic oligomers NCT02907567 [315]
Septin glue REM0046127 It acts by normalizing cytosolic Ca2⁺ levels without disrupting the physiological functions of Ca2 Mild‐to‐moderate AD phase 2a Showed liver adverse effects NCT05478031 [316]
Intranasal insulin and empagliflozin Improve insulin sensitivity and vascular function MCI or early AD phase 2a/b INI and empagliflozin treatment was safe with promising effects on cognition, fluid, and imaging biomarkers NCT05081219 [317]
Masitinib An orally administered tyrosine kinase inhibitor that targets activated cells of the neuroimmune system Mild-to-moderate AD phase 3 Masitinib (4.5 mg/kg/day) may benefit people with mild-to-moderate AD NCT01872598 [318]
AL002 An investigational, engineered, humanized monoclonal immunoglobulin G1 antibody designed to target TREM2 Healthy volunteers phase 1 Single-dose AL002 showed central nervous system penetrance and was well tolerated, with no treatment-related serious adverse events over 12 weeks NCT03635047 [319]
Deferiprone An orally bioavailable iron chelator that has superior access to the brain MCI or early AD phase 2 Deferiprone 15 mg/kg twice a day decreased hippocampal QSM and accelerated cognitive decline in patients with amyloid-confirmed early AD NCT03234686 [320]
low-dose Interleukin-2 Expanded Treg populations, suppressed monocytes inflammatory markers, and reduced plasma inflammatory cytokines mild to moderate AD phase 2a The IL-2 immunotherapeutic strategy was safe and well-tolerated. IL-2 q4wks effectively leading to modification in inflammatory mediators and CSF Aβ42 levels NCT06096090 [321]
Intermittent senolytic combination therapy of dasatinib plus quercetin Clear senescent cells Early AD preclinical / NCT04063124 [322, 323]
Semaglutide Improve neuroinflammatory pathways, vascular and BBB integrity, reduced synaptic loss, and neuroprotection Early AD phase 3 / NCT04777396 NCT04777409 [298]

The list of preclinical programs is not meant to be exhaustive, but rather to illustrate the extent of effort underway and the different target modalities being deployed

AD Alzheimer's disease, PGRN Progranulin, CSF cerebrospinal fluid, amyloid-β, TREM2 Triggering Receptor Expressed on Myeloid Cells 2, MCI mild cognitive impairment, QSM Quantitative Susceptibility Mapping, BBB Blood–Brain Barrier

Modulators targeting microglia represent a major branch of neuroinflammation-directed therapy and include TREM2 agonists, TLR4 inhibitors, and tyrosine kinase inhibitors. A representative agent, AL002 (NCT04592874), is a humanized agonistic monoclonal antibody against TREM2. Preclinical studies show that TREM2 activation enhances microglial uptake and clearance of Aβ, whereas loss-of-function variants increase the risk of sporadic AD, supporting TREM2 as an attractive therapeutic target [324]. In crab-eating macaques, weekly intravenous AL002 administration for 4 weeks was well tolerated and produced dose-dependent reductions in soluble TREM2 (sTREM2) in CSF, accompanied by decreases in total TREM2 in the hippocampus and frontal cortex and increases in biomarkers of TREM2 pathway activation in CSF and brain tissue. In a phase 1 study involving 64 healthy volunteers, a single intravenous infusion of AL002 demonstrated central target engagement, evidenced by dose-dependent reductions in CSF sTREM2 and corresponding increases in TREM2-pathway biomarkers and indices of microglial recruitment [319]. However, in the phase 2 INVOKE-2 trial (NCT04592874), AL002 did not significantly slow clinical progression in patients with AD [325]. To improve the efficacy of TREM2-targeted interventions, future trial designs may need to better account for AD heterogeneity and the dynamic activation states of microglia. Incorporating stratification based on TREM2 genotype, baseline sTREM2 levels, and transcriptional or functional markers of microglial state may help identify patient subgroups most likely to benefit from treatment [325]. In a preclinical study, researchers designed R@AClipo, a nanotherapeutic platform that co-delivers the TREM2 agonist peptide COG1410 and the glutamate modulator riluzole via Angiopep-2-modified liposomes capable of crossing the BBB. In an AD mouse model, R@AClipo upregulated TREM2 expression and enhanced microglia-mediated Aβ clearance [326].

Astrocyte-targeted modulators primarily focus on inhibiting key signaling pathways mediating neuroinflammation, such as NF-κB/NLRP3, JAK/STAT3, calcineurin/NFAT, and p38 MAPK. Various inhibitors targeting these pathways have shown promise in preclinical studies; for example, the STAT3 inhibitor Stattic, calcineurin inhibitor FK506, and p38 MAPK inhibitors MW181 and NJK14047 all demonstrated beneficial effects in animal models. Clinical-stage candidates include Pepinemab (NCT04381468), a humanized monoclonal antibody that neutralizes Semaphorin 4D‌ (SEMA4D), a molecule predominantly expressed in glial cells and critical for regulating the transition between glial homeostasis and reactive states. In a Phase II study evaluating Pepinemab for early Huntington’s disease, no significant therapeutic effects were observed, but the treatment was well tolerated, with a relatively low incidence of serious adverse events [327].

Therapies for metabolic dysfunction

Given the multifactorial etiology of AD, metabolic dysfunction has emerged as a potential therapeutic target (Table 3). Insulin resistance plays a critical role in AD pathophysiology, making antidiabetic agents a potential strategy to target central insulin signaling [172, 328]. Intranasal insulin administration delivers insulin directly to the CNS, correcting glucose dysregulation, reducing neuroinflammation, and improving cognitive function in AD [329, 330]. Sodium–glucose cotransporter 2 inhibitors (SGLT2i) not only lower systemic glucose and sodium levels but may also enhance central insulin sensitivity and cerebrovascular function. A real-world study investigating glucagon-like peptide-1 (GLP-1) receptor agonists and SGLT2 inhibitors as potential AD therapies indicated that both drug classes may offer preventive or therapeutic benefits [331]. A recent Phase 2a/b randomized trial in patients with MCI and early AD evaluated intranasal insulin (INI) and the SGLT2i empagliflozin (EMPA). Both interventions were well tolerated; INI improved cognition, modulated MRI fractional anisotropy (FA) and cerebral blood flow (CBF), and reduced plasma GFAP levels. EMPA treatment lowered CSF tau and regulated CBF. Both drugs influenced multiple immune and inflammatory biomarkers, highlighting their potential as metabolic modulators in early AD [317].

Homeostatic regulation of metal ions is critical for maintaining normal nervous system function. Increasing evidence indicates that dysregulation of zinc, copper, calcium, and other metal ions not only affects intracellular redox balance and neuronal survival but is also closely associated with Aβ deposition, mitochondrial dysfunction, and cognitive decline. Consequently, metal ion dyshomeostasis has emerged as a novel focus in AD pathogenesis research and therapeutic strategy development. Zinc homeostasis genes primarily regulate intracellular and extracellular zinc concentrations, and their abnormal expression can induce neuronal apoptosis, oxidative stress, and neuroinflammation, ultimately promoting Aβ aggregation. Supplementation with zinc chelators has been proposed as a potential intervention for neurodegenerative diseases [332]. In AD patients, serum levels of free and total copper are significantly elevated, whereas brain copper content is reduced [333]. Copper can form complexes with Aβ, triggering oxidative stress, apoptosis, and cognitive deficits. In a recent clinical study using zinc therapy for patients with MCI (EudraCT No. 2019-000604-15), zinc treatment stabilized cognitive function in individuals with systemic copper imbalance, suggesting copper homeostasis as a potential early therapeutic target in AD [334]. Calcium dyshomeostasis contributes to mitochondrial dysfunction in AD, and restoring calcium balance is critical for improving mitochondrial health [335]. Brain lithium levels are significantly reduced in MCI patients, promoting Aβ deposition and tau hyperphosphorylation, accelerating cognitive decline. Alternative lithium therapies using salts with minimal Aβ binding potential may represent a promising preventive and therapeutic strategy for AD [336].

Emerging therapeutic strategies: insights from preclinical evidence

As noted above, emerging pathogenic pathways play a critical role in the progression of AD. Strategies targeting these pathways-including modulation of the gut microbiota, lifestyle interventions, small-molecule drugs, natural compounds, and traditional Chinese medicines-have demonstrated therapeutic potential in preclinical studies and may offer novel avenues and directions for AD treatment.

Gut microbiota–based strategies

Strategies aimed at modulating the gut microbiota may markedly restore intestinal homeostasis and exert beneficial effects on cognitive decline in numerous preclinical studies of AD [337]. Supplementation of Bacteroides and lysophosphatidylcholine (LPC) in AD model mice reduces Aβ plaque burden, restores synaptic function, improves cognitive deficits, attenuates gliosis, and mitigates myelin degeneration, suggesting that Bacteroides ovatus and LPC interventions hold promise as potential therapeutic approaches for AD [338]. Akkermansia muciniphila, a beneficial gut bacterium, is decreased in both the feces and blood of patients with AD. Administration of A. muciniphila before disease onset in AD mice improves mitochondrial fission, mitophagy, and cognition [339]. Furthermore, A. muciniphila treatment alleviates neuroinflammation and reduces Aβ deposition in APP/PS1 mice via modulation of the AhR/NF-κB/NLRP3 signaling pathway [340]. Oral supplementation with the A. muciniphila metabolite propionate maintains mitochondrial homeostasis in AD pathophysiology by downregulating the mitochondrial fission protein DRP1 through G protein-coupled receptor 41 (GPR41) and enhancing PINK1/PARKIN-mediated mitophagy via GPR43 [339]. Bifidobacterium, a key probiotic in the gut, plays a critical role in maintaining microbial homeostasis [341]. Oral administration of Bifidobacterium pseudolongum improves cognitive function and mitigates AD pathology. Its metabolite, propionic acid (PA), binds to FFAR3 to inhibit JNK phosphorylation and reduces NF-κB-regulated downstream neuroinflammatory factors, including TNF-α and IL-1β, thereby attenuating neuroinflammation [342]. This evidence underscores the potential of gut microbiota-targeted interventions as a promising strategy for modulating AD pathology and cognition decline.

Lifestyle interventions

Lifestyle interventions, including dietary patterns and exercise, are increasingly recognized for their therapeutic potential in AD [343]. A randomized clinical trial demonstrated that adherence to a Western-style diet in cognitively normal middle-aged adults may increase AD risk by disrupting metabolic health, promoting AD-like pathology, reducing cerebral perfusion, and potentially impairing cognitive function. In contrast, a Mediterranean diet, characterized by high intake of fruits, vegetables, whole grains, fish, and olive oil, supports metabolic and brain health [344] and is associated with a reduced risk of cognitive impairment[345]. A low-carbohydrate modified Mediterranean ketogenic diet (MMKD) has been shown to improve peripheral lipid and glucose metabolism, including reductions in HbA1c, insulin, and triglyceride levels, while increasing cerebral ketone uptake [346].

Intermittent fasting (IF) is a dietary regimen characterized by alternating periods of eating and fasting within a defined temporal cycle. IF has been shown to improve cognitive function and ameliorate AD-like pathology in transgenic AD mouse models (5xFAD) via the gut microbiota-metabolite-brain axis. Specifically, IF significantly enriches beneficial bacteria such as Lactobacillus, reduces carbohydrate metabolism, and increases levels of creatine and dimethylglycine, collectively mitigating cognitive decline, lowering Aβ burden, and suppressing excessive glial activation in AD mice [347]. In APP/PS1 mice, IF also exerts therapeutic effects by upregulating pathways related to apoptosis, primary and secondary bile acid metabolism, and fatty acid biosynthesis, thereby effectively reducing Aβ deposition and cognitive impairment [237]. These findings suggest that IF may represent a potential strategy for preventing AD progression [347]. Similarly, MMKD significantly reshapes the gut microbiome and its metabolic outputs, promoting the growth of Lactobacillus and increasing bacterially derived lactate production. These serum metabolite changes upregulate specific neuroprotective receptors and induce alterations in neuroinflammation-related signaling pathways in the hippocampus [348].

Exercise also represents a key lifestyle-based intervention. Exercise training reduces circulating proinflammatory signaling molecules, protects against Aβ-mediated neuronal damage, and promotes AHN in AD rats [349]. High-intensity interval training alleviates cognitive impairment in streptozotocin -induced AD rat models by promoting the glymphatic drainage of Aβ from the cortex and hippocampus toward the kidneys [350]. Exercise also modulates the nuclear translocation of SUMO1 and IGF1R in the hippocampus, thereby facilitating neuronal regeneration while suppressing neuroinflammation, ultimately improving cognitive performance in APP/PS1 mice [351]. Furthermore, long-term physical activity may exert preventive effects against AD by downregulating the EAF2–p53–TSP-1 signaling pathway associated with reactive astrocytes, which enhances the plasticity and drainage capacity of meningeal lymphatic vessels [352].

Small molecules

Fingolimod is an orally administered small-molecule immunomodulator capable of crossing the BBB, primarily acting through functional antagonism of sphingosine-1-phosphate (S1P) receptors. Administration of fingolimod during the larval stage rescues histone acetylation in glial cells and presynaptic homeostasis at neuromuscular junctions, and in Aβ-expressing Drosophila models, it improves adult neurodegeneration and motor function, highlighting the therapeutic potential of FTY720 in neurodegenerative diseases [247]. Histone deacetylase 6 (HDAC6) is a key member of the HDAC family, regulating multiple cellular functions including misfolded protein clearance and immune responses, and is closely associated with Aβ and tau pathology. The small-molecule HDAC6 inhibitor PB118 exhibits a multifaceted mechanism of action, clearing Aβ fragments via phagocytosis, increasing acetylated α-tubulin to stabilize microtubule networks, and markedly reducing tau phosphorylation and neuroinflammation, thereby alleviating AD-related neuropathology [353]. The ErbB4 receptor plays a critical role in AD pathogenesis. The small-molecule ErbB4 agonist E4A effectively activates ErbB4, upregulates DOCK3 and SIRT3 expression, and suppresses TLR4–NF-κB–NLRP3 pathway activation, thereby reducing neuroinflammation and Aβ plaque formation and improving cognitive deficits in APP/PS1 mice [354]. Survivin, a member of the inhibitor of apoptosis protein (IAP) family, promotes hippocampal neurogenesis when overexpressed and enhances cognitive function in 5xFAD mice, suggesting that survivin may represent a promising therapeutic target for AD [355]. Receptor tyrosine kinases (RTKs) can directly bind oligomeric Aβ, promoting its deposition, disrupting synaptic structure and plasticity in AD. Small-molecule inhibitors and monoclonal antibodies targeting RTKs have shown promising therapeutic potential in preclinical studies [356]. Thus, small-molecule interventions act on specific targets through diverse mechanisms, positioning them as promising therapeutic candidates for AD.

Natural compounds and traditional Chinese medicines

Eucommiae cortex polysaccharides (EPs), among the most abundant constituents of the Eucommiae cortex, alleviate learning and memory deficits in AD models in a gut microbiota–dependent manner [357]. Pseudostellaria heterophylla polysaccharide (PH-PS) reshapes gut microbiota composition, restores intestinal barrier function, and reduces the secretion of proinflammatory cytokines to attenuate peripheral inflammation. It promotes the conversion of M1 microglia and A1 astrocytes toward neuroprotective M2 and A2 phenotypes, respectively, and facilitates Aβ plaque clearance by upregulating the expression of insulin-degrading enzyme and neprilysin [358]. Administration of Phyllanthus emblica polysaccharides (PEP) markedly mitigates cognitive decline in AlCl₃-treated rats. Mechanistically, PEP upregulates autophagy-related proteins (Atg5, Beclin1, LC3B) and LRP1 expression, while downregulating AD-related proteins, including BACE1, APP, Aβ, and p-Tau^Ser404, thereby ameliorating AD-like pathology [359]. Dietary capsaicin increases levels of 24(S)-hydroxycholesterol (24-HC) in the host, a change that correlates with an enrichment of the gut bacterium Oscillibacter. Elevated 24-HC enhances microglial phagocytic activity in the brain and suppresses proinflammatory cytokine production via liver X receptor β (LXRβ)-mediated transcriptional regulation [360].

Smilagenin, a lipid-soluble steroidal sapogenin extracted from the traditional Chinese medicinal herb Radix Asparagi, exerts neuroprotective effects in APP/PS1 mice by upregulating P300 expression. This increases histone acetylation at the BDNF promoter and enhances its transcription, effectively reducing Aβ plaque deposition and improving cognitive and learning abilities [361]. Curcumin administration enhances AHN in AD mice by targeting the PI3K/Akt pathway to regulate GSK-3β/Wnt/β-catenin and CREB/BDNF signaling, thereby improving cognition [362]. The traditional Chinese medicine formula Zexieyin increases the number of BrdU/DCX double-positive cells and Ki67-positive cells in the DG, promoting neurogenesis and ameliorating learning and memory deficits in AD mouse models [363]. Ginsenoside RK3, a rare ginsenoside derived from ginseng, promotes neurogenesis through activation of the CREB/BDNF pathway and improves learning and cognitive performance in APP/PS1 mice [364]. 20S-protopanaxatriol stimulates neural stem cell proliferation and neurogenesis via the PI3K/AKT pathway, thereby ameliorating cognitive deficits in AD models [365]. Collectively, these natural compounds and traditional herbal interventions demonstrate translational potential for AD therapy.

Conclusions and prospects

This review provides a comprehensive summary of the core pathological features and classical pathogenic mechanisms of AD. It also highlights the emerging contributions of gut microbiota dysbiosis, aberrant epigenetic regulation, and impaired neurogenesis to AD progression. Based on this foundation, the review summarizes key recent developments in AD therapeutics, with a focus on clinical evidence from Aβ- and tau-targeted immunotherapies. It further outlines preclinical and clinical studies targeting neuroinflammation and metabolic dysfunction. Finally, emerging strategies for AD prevention and treatment are discussed, including gut microbiota modulation, lifestyle interventions, small-molecule drugs, natural products, and traditional Chinese medicine, along with their potential mechanisms of action. Collectively, these insights provide a valuable framework for optimizing therapeutic strategies and guiding the development of novel interventions for AD.

Despite significant recent advances, several challenges remain. First, therapies targeting specific pathological hallmarks, such as Aβ monoclonal antibodies, achieve precise intervention but have demonstrated only modest overall clinical efficacy. This suggests that relying on a single agent to substantially alter disease trajectory may be overly optimistic, reflecting the inherent complexity of AD pathogenesis and underscoring the need for multidimensional, mechanism-based interventions. Complementary strategies targeting different Aβ isoforms, tau aggregation, immune regulation, and gut microbiota may provide synergistic benefits, more effectively slowing or ameliorating disease progression. Second, the BBB, while critical for maintaining CNS homeostasis, significantly limits drug delivery to brain tissue. Integration of nanomedicine platforms and physical modulation strategies, such as focused ultrasound with microbubbles, holds promise for enhancing drug penetration and precision delivery, offering new avenues for targeted AD therapy.

Significant research progress has been made in recent years regarding biomarkers such as pTau181, pTau217, and pTau231. These markers are closely associated with the occurrence and progression trajectory of Aβ deposition and are now recognized as important molecular indicators reflecting pathological changes in AD. Additionally, biomarkers reflecting neuroinflammatory states, such as GFAP and TREM2, have emerged as research focal points, offering substantial clinical value for early AD diagnosis, disease monitoring, and treatment efficacy assessment. Integrating analyses of molecular and cellular changes reflected by these biomarkers will enable more comprehensive and dynamic evaluations of disease progression and treatment outcomes. Future research should focus on identifying biomarkers that capture early AD pathogenesis, thereby refining disease onset characterization and delineating its progression trajectory.

Finally, AD exhibits significant biological and clinical heterogeneity, which substantially influences individual patient responses to treatment and clinical outcomes. For instance, risk alleles such as APOE ε4 are not only closely associated with Aβ deposition and disease progression rates but may also affect patient responsiveness to targeted therapies like anti-Aβ immunotherapy and the risk of adverse reactions. Concurrently, gender differences in neuroinflammatory responses, hormone levels, and brain structural changes may also contribute to treatment response variations. Furthermore, AD represents the combined outcome of multiple interacting pathological mechanisms, with different patients potentially exhibiting distinct disease subtypes dominated by Aβ pathology, tau pathology, neuroinflammation, or vascular factors. Future research requires larger longitudinal cohorts and clinical trials to systematically integrate genetics, humoral biomarkers, imaging features, and clinical information. This will identify key stratification markers predictive of treatment response and enable more precise patient classification and risk stratification.

Acknowledgements

All diagrams in this manuscript were created with BioRender.com. We sincerely thank BioRender for enabling the creation of high-quality scientific illustrations.

Abbreviations

AD

Alzheimer disease

Amyloid β

NMDA

N-methyl-D-aspartate

NFTs

Neurofibrillary tangles

ACH

The amyloid cascade hypothesis

APP

Amyloid precursor protein

PSEN1

Presenilin 1

PSEN2

Presenilin 2

APOE

Apolipoprotein E

sAPPα

Soluble APPα

αCTF

α C-terminal fragment

BACE

β-Site APP cleaving enzyme

sAPPβ

Soluble APP β

βCTF

β C-terminal fragment

MTBR

Microtubule-binding region

PRR

Proline-rich region

PTMs

Post-translational modifications

CDK5

Cyclin-dependent kinase-5

GSK-3β

Glycogen synthase kinase-3β

pTau

Phosphorylated tau

LRP1

Low-density lipoprotein receptor-related protein 1

DAM

Disease-associated microglia

LOAD

Late-onset AD

MCI

Mild cognitive impairment

GFAP

Glial fibrillary acidic protein

ACh

Acetylcholine

AChE

Acetylcholinesterase

TREM2

Triggering receptor expressed on myeloid cells 2

IPA

Indole-3-propionic acid

LPS

Lipopolysaccharide

SCFAs

Short-chain fatty acids

TMAO

Trimethylamine N-oxide

Kla

Histone lysine lactylation

DG

Dentate gyrus

AHN

Adult hippocampal neurogenesis

imGCs

Immature granule cells

CHI3L1

Chitinase-3-like protein 1

ARIA-E

Amyloid-related imaging abnormalities–edema

FDA

Food and Drug Administration

CSF

Cerebrospinal fluid

CNS

Central nervous system

SGLT2i

Sodium–glucose cotransporter 2 inhibitors

GLP-1

Glucagon-like peptide-1

INI

Intranasal insulin

EMPA

Empagliflozin

FA

Fractional anisotropy

CBF

Cerebral blood flow

LPC

Lysophosphatidylcholine

GPR41

G protein-coupled receptor 41

PA

Propionic acid

MMKD

Mediterranean ketogenic diet

HbA1c

Glycated hemoglobin

IF

Intermittent fasting

S1P

Sphingosine-1-phosphate

HDAC6

Histone deacetylase 6

RTKs

Receptor tyrosine kinases

EPS

Eucommiae cortex polysaccharides

PH-PS

Pseudostellaria heterophylla polysaccharide

PEP

Phyllanthus emblica polysaccharides

24-HC

24S-hydroxycholesterol

LXRβ

Liver X receptor β 

BBB

Blood-brain barrier

NRFs

Nuclear respiratory factors

TFAM

Mitochondrial transcription factor A

mtDNA

Mitochondrial DNA

OXPHOS

Oxidative phosphorylation

DRP1

Dynamin-related protein 1

Fis1

Fission protein 1

ABAD

Aβ-binding alcohol dehydrogenase

TFEB

Transcription factor EB

LAMP1

Lysosomal-associated membrane protein 1

GLUTs

Glucose Transporters

PSD-95

Postsynaptic density protein 95

APPBP2

Amyloid beta precursor protein binding protein 2

mTOR

Mammalian Target of Rapamycin

ApoE

Apolipoprotein E

CD2AP

CD2-associated protein

SEMA4D

Semaphorin 4D‌

Authors’ contributions

Jing-Qiu Feng: Investigation, Writing-Original draft, Visualization. Ling-Ling Yang: Investigation, Writing-Original draft, Visualization. Ya-Xi Luo: Conceptualization, Investigation, Writing- Reviewing and Editing. Xiu-Qing Yao: Conceptualization, Supervision, Writing- Reviewing and Editing. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

Funding

This study was funded by the National Natural Science Foundation of China (Grant No.82371427, Grant No.82401656), Natural Science Foundation of Chongqing, China (Grant No. CSTB2023NSCQ-MSX0323), Joint project of Chongqing Health Commission and Science and Technology Bureau (Grant No.2025MSXM044) and Postgraduate Research and Project of Chongqing Province (Grant No. CYB240199).

Data availability

Not applicable.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Jing-Qiu Feng and Ling-Ling Yang contributed equally to this work.

Contributor Information

Ya-Xi Luo, Email: luoyaxi@hospital.cqmu.edu.cn.

Xiu-Qing Yao, Email: dryaoxq@cqmu.edu.cn.

References

  • 1.Aranda MP, Kremer IN, Hinton L, Zissimopoulos J, Whitmer RA, Hummel CH, et al. Impact of dementia: health disparities, population trends, care interventions, and economic costs. J Am Geriatr Soc. 2021;69(7):1774–83. 10.1111/jgs.17345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Jack CR Jr., Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, et al. Revised criteria for diagnosis and staging of Alzheimer’s disease: Alzheimer’s Association Workgroup. Alzheimers Dement. 2024;20(8):5143–69. 10.1002/alz.13859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Li J, Wang L, Zhang X, Shi J, Zhu Y, Wang H, et al. Translating Alzheimer’s Disease Mechanisms into Therapeutic Opportunities. Biomolecules. 2025;15(9):1290. 10.3390/biom15091290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tartaglia MC, Ingelsson M. Molecular therapeutics in development to treat Alzheimer’s disease. Mol Diagn Ther. 2025;29(1):9–24. 10.1007/s40291-024-00738-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Jucker M, Walker LC. Alzheimer’s disease: from immunotherapy to immunoprevention. Cell. 2023;186(20):4260–70. 10.1016/j.cell.2023.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zheng Q, Wang X. Alzheimer’s disease: insights into pathology, molecular mechanisms, and therapy. Protein Cell. 2025;16(2):83–120. 10.1093/procel/pwae026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Goetzl EJ. Current developments in Alzheimer’s disease. Am J Med. 2025;138(1):15–20. 10.1016/j.amjmed.2024.08.019. [DOI] [PubMed] [Google Scholar]
  • 8.Glenner GG, Wong CW. Alzheimer’s disease: initial report of the purification and characterization of a novel cerebrovascular amyloid protein. Biochem Biophys Res Commun. 1984;120(3):885–90. 10.1016/s0006-291x(84)80190-4. [DOI] [PubMed] [Google Scholar]
  • 9.Hardy JA, Higgins GA. Alzheimer’s disease: the amyloid cascade hypothesis. Science. 1992;256(5054):184–5. 10.1126/science.1566067. [DOI] [PubMed] [Google Scholar]
  • 10.Hardy J, Allsop D. Amyloid deposition as the central event in the aetiology of Alzheimer’s disease. Trends Pharmacol Sci. 1991;12(10):383–8. 10.1016/0165-6147(91)90609-v. [DOI] [PubMed] [Google Scholar]
  • 11.Shoghi-Jadid K, Small GW, Agdeppa ED, Kepe V, Ercoli LM, Siddarth P, et al. Localization of neurofibrillary tangles and beta-amyloid plaques in the brains of living patients with Alzheimer disease. Am J Geriatr Psychiatry. 2002;10(1):24–35. [PubMed] [Google Scholar]
  • 12.Nasb M, Tao W, Chen N. Alzheimer’s Disease Puzzle: Delving into Pathogenesis Hypotheses. Aging Dis. 2024;15(1):43–73. 10.14336/AD.2023.0608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sawa M, Overk C, Becker A, Derse D, Albay R, Weldy K, et al. Impact of increased APP gene dose in Down syndrome and the Dp16 mouse model. Alzheimers Dement. 2022;18(6):1203–34. 10.1002/alz.12463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Frisoni GB, Altomare D, Thal DR, Ribaldi F, van der Kant R, Ossenkoppele R, et al. The probabilistic model of Alzheimer disease: the amyloid hypothesis revised. Nat Rev Neurosci. 2022;23(1):53–66. 10.1038/s41583-021-00533-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Granzotto A, Sensi SL. Once upon a time, the Amyloid Cascade Hypothesis. Ageing Res Rev. 2024;93:102161. 10.1016/j.arr.2023.102161. [DOI] [PubMed] [Google Scholar]
  • 16.Abelein A. Metal binding of Alzheimer’s amyloid-beta and its effect on peptide self-assembly. Acc Chem Res. 2023;56(19):2653–63. 10.1021/acs.accounts.3c00370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Azargoonjahromi A. The duality of amyloid-beta: its role in normal and Alzheimer’s disease states. Mol Brain. 2024;17(1):44. 10.1186/s13041-024-01118-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gholami A. Alzheimer’s disease: the role of proteins in formation, mechanisms, and new therapeutic approaches. Neurosci Lett. 2023;817:137532. 10.1016/j.neulet.2023.137532. [DOI] [PubMed] [Google Scholar]
  • 19.Hampel H, Elhage A, Cho M, Apostolova LG, Nicoll JAR, Atri A. Amyloid-related imaging abnormalities (ARIA): radiological, biological and clinical characteristics. Brain. 2023;146(11):4414–24. 10.1093/brain/awad188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hardy J, Escott-Price V. The genetics of neurodegenerative diseases is the genetics of age-related damage clearance failure. Mol Psychiatry. 2025;30(6):2748–53. 10.1038/s41380-025-02911-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Coronel R, Bernabeu-Zornoza A, Palmer C, Muniz-Moreno M, Zambrano A, Cano E, et al. Role of Amyloid Precursor Protein (APP) and its derivatives in the biology and cell fate specification of neural stem cells. Mol Neurobiol. 2018;55(9):7107–17. 10.1007/s12035-018-0914-2. [DOI] [PubMed] [Google Scholar]
  • 22.Kurkinen M, Fulek M, Fulek K, Beszlej JA, Kurpas D, Leszek J. The Amyloid Cascade Hypothesis in Alzheimer's Disease: Should We Change Our Thinking? Biomolecules. 2023;13(3). 10.3390/biom13030453. [DOI] [PMC free article] [PubMed]
  • 23.LaFerla FM, Green KN, Oddo S. Intracellular amyloid-beta in Alzheimer’s disease. Nat Rev Neurosci. 2007;8(7):499–509. 10.1038/nrn2168. [DOI] [PubMed] [Google Scholar]
  • 24.Sehar U, Rawat P, Reddy AP, Kopel J, Reddy PH. Amyloid Beta in Aging and Alzheimer’s Disease. Int J Mol Sci. 2022;23(21):12924. 10.3390/ijms232112924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Salehi A, Delcroix JD, Swaab DF. Alzheimer’s disease and NGF signaling. J Neural Transm. 2004;111(3):323–45. 10.1007/s00702-003-0091-x. [DOI] [PubMed] [Google Scholar]
  • 26.Ashrafian H, Zadeh EH, Khan RH. Review on Alzheimer’s disease: inhibition of amyloid beta and tau tangle formation. Int J Biol Macromol. 2021;167:382–94. 10.1016/j.ijbiomac.2020.11.192. [DOI] [PubMed] [Google Scholar]
  • 27.Morito T, Hashimoto S, Takamura R, Watamura N, Kakiya N, Fujioka R, et al. The Role of Neprilysin and Insulin-Degrading Enzyme in the Etiology of Sporadic Alzheimer's Disease. J Neurosci. 2025;45(23). 10.1523/JNEUROSCI.2152-24.2025. [DOI] [PMC free article] [PubMed]
  • 28.Arriagada PV, Growdon JH, Hedley-Whyte ET, Hyman BT. Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer’s disease. Neurology. 1992;42(3 Pt 1):631–9. 10.1212/wnl.42.3.631. [DOI] [PubMed] [Google Scholar]
  • 29.Gomez-Isla T, Hollister R, West H, Mui S, Growdon JH, Petersen RC, et al. Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer’s disease. Ann Neurol. 1997;41(1):17–24. 10.1002/ana.410410106. [DOI] [PubMed] [Google Scholar]
  • 30.Moloney CM, Lowe VJ, Murray ME. Visualization of neurofibrillary tangle maturity in Alzheimer’s disease: a clinicopathologic perspective for biomarker research. Alzheimers Dement. 2021;17(9):1554–74. 10.1002/alz.12321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Weingarten MD, Lockwood AH, Hwo SY, Kirschner MW. A protein factor essential for microtubule assembly. Proc Natl Acad Sci U S A. 1975;72(5):1858–62. 10.1073/pnas.72.5.1858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Mietelska-Porowska A, Wasik U, Goras M, Filipek A, Niewiadomska G. Tau protein modifications and interactions: their role in function and dysfunction. Int J Mol Sci. 2014;15(3):4671–713. 10.3390/ijms15034671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Goedert M, Crowther RA, Scheres SHW, Spillantini MG. Tau and neurodegeneration. Cytoskeleton (Hoboken). 2024;81(1):95–102. 10.1002/cm.21812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wesseling H, Mair W, Kumar M, Schlaffner CN, Tang S, Beerepoot P, et al. Tau PTM Profiles Identify Patient Heterogeneity and Stages of Alzheimer’s Disease. Cell. 2020;183(6):1699-713 e13. 10.1016/j.cell.2020.10.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Schwalbe M, Kadavath H, Biernat J, Ozenne V, Blackledge M, Mandelkow E, et al. Structural impact of tau phosphorylation at threonine 231. Structure. 2015;23(8):1448–58. 10.1016/j.str.2015.06.002. [DOI] [PubMed] [Google Scholar]
  • 36.Rani L, Mittal J, Mallajosyula SS. Effect of phosphorylation and O-GlcNAcylation on proline-rich domains of tau. J Phys Chem B. 2020;124(10):1909–18. 10.1021/acs.j.pcb.9b11720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Braak H, Mayer B, Feldengut S, Schon M, Del Tredici K. Sequence and trajectory of early Alzheimer’s disease-related tau inclusions in the hippocampal formation of cases without amyloid-β deposits. Acta Neuropathol. 2025;149(1):50. 10.1007/s00401-025-02862-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hempen B, Brion JP. Reduction of acetylated alpha-tubulin immunoreactivity in neurofibrillary tangle-bearing neurons in Alzheimer’s disease. J Neuropathol Exp Neurol. 1996;55(9):964–72. 10.1097/00005072-199609000-00003. [DOI] [PubMed] [Google Scholar]
  • 39.Acosta DM, Mancinelli C, Bracken C, Eliezer D. Post-translational modifications within tau paired helical filament nucleating motifs perturb microtubule interactions and oligomer formation. J Biol Chem. 2022;298(1):101442. 10.1016/j.jbc.2021.101442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Gendron TF, Petrucelli L. The role of tau in neurodegeneration. Mol Neurodegener. 2009;4:13. 10.1186/1750-1326-4-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ittner A, Ittner LM. Dendritic tau in Alzheimer’s disease. Neuron. 2018;99(1):13–27. 10.1016/j.neuron.2018.06.003. [DOI] [PubMed] [Google Scholar]
  • 42.Wang Y, Mandelkow E. Tau in physiology and pathology. Nat Rev Neurosci. 2016;17(1):5–21. 10.1038/nrn.2015.1. [DOI] [PubMed] [Google Scholar]
  • 43.LeBoeuf AC, Levy SF, Gaylord M, Bhattacharya A, Singh AK, Jordan MA, et al. FTDP-17 mutations in Tau alter the regulation of microtubule dynamics: an “alternative core” model for normal and pathological Tau action. J Biol Chem. 2008;283(52):36406–15. 10.1074/jbc.M803519200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zheng WH, Bastianetto S, Mennicken F, Ma W, Kar S. Amyloid β peptide induces tau phosphorylation and loss of cholinergic neurons in rat primary septal cultures. Neuroscience. 2002;115(1):201–11. 10.1016/s0306-4522(02)00404-9. [DOI] [PubMed] [Google Scholar]
  • 45.Singh TJ, Haque N, Grundke-Iqbal I, Iqbal K. Rapid Alzheimer-like phosphorylation of tau by the synergistic actions of non-proline-dependent protein kinases and GSK-3. FEBS Lett. 1995;358(3):267–72. 10.1016/0014-5793(94)01445-7. [DOI] [PubMed] [Google Scholar]
  • 46.Kopke E, Tung YC, Shaikh S, Alonso AC, Iqbal K, Grundke-Iqbal I. Microtubule-associated protein tau. Abnormal phosphorylation of a non-paired helical filament pool in Alzheimer disease. J Biol Chem. 1993;268(32):24374–84. [PubMed] [Google Scholar]
  • 47.Boonen RA, van Tijn P, Zivkovic D. Wnt signaling in Alzheimer’s disease: up or down, that is the question. Ageing Res Rev. 2009;8(2):71–82. 10.1016/j.arr.2008.11.003. [DOI] [PubMed] [Google Scholar]
  • 48.Rawat P, Sehar U, Bisht J, Selman A, Culberson J, Reddy PH. Phosphorylated Tau in Alzheimer's Disease and Other Tauopathies. Int J Mol Sci. 2022;23(21). 10.3390/ijms232112841. [DOI] [PMC free article] [PubMed]
  • 49.Matsuo ES, Shin RW, Billingsley ML, Van deVoorde A, O’Connor M, Trojanowski JQ, et al. Biopsy-derived adult human brain tau is phosphorylated at many of the same sites as Alzheimer’s disease paired helical filament tau. Neuron. 1994;13(4):989–1002. 10.1016/0896-6273(94)90264-x. [DOI] [PubMed] [Google Scholar]
  • 50.Wang Y, Zhang Y, Hu W, Xie S, Gong CX, Iqbal K, et al. Rapid alteration of protein phosphorylation during postmortem: implication in the study of protein phosphorylation. Sci Rep. 2015;5:15709. 10.1038/srep15709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Platholi J, Heerdt PM, Lim Tung HY, Hemmings HC Jr. Activation of brain protein phosphatase-1(I) following cardiac arrest and resuscitation involving an interaction with 14-3-3 gamma. J Neurochem. 2008;105(5):2029–38. 10.1111/j.1471-4159.2008.05300.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Krassner MM, Kauffman J, Sowa A, Cialowicz K, Walsh S, Farrell K, et al. Postmortem changes in brain cell structure: a review. Free Neuropathol. 2023;4:10. 10.17879/freeneuropathology-2023-4790. [DOI] [PMC free article] [PubMed]
  • 53.Datta D, Perone I, Wijegunawardana D, Liang F, Morozov YM, Arellano J, et al. 11Nanoscale imaging of pT217-tau in aged rhesus macaque entorhinal and dorsolateral prefrontal cortex: Evidence of interneuronal trafficking and early-stage neurodegeneration. Alzheimer’s Dementia. 2024;20(4):2843–60. 10.1002/alz.13737. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Watamura N, Foiani MS, Bez S, Bourdenx M, Santambrogio A, Frodsham C, et al. In vivo hyperphosphorylation of tau is associated with synaptic loss and behavioral abnormalities in the absence of tau seeds. Nat Neurosci. 2025;28(2):293–307. 10.1038/s41593-024-01829-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Harris SS, Ellingford R, Hartmann J, Dasgupta D, Kehring M, Rajani RM, et al. Alzheimer’s disease patient-derived high-molecular-weight tau impairs bursting in hippocampal neurons. Cell. 2025;188(14):3775-88 e21. 10.1016/j.cell.2025.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Goedert M, Masuda-Suzukake M, Falcon B. Like prions: the propagation of aggregated tau and alpha-synuclein in neurodegeneration. Brain. 2017;140(2):266–78. 10.1093/brain/aww230. [DOI] [PubMed] [Google Scholar]
  • 57.Lopes LV, Pousinha PA. Burst firing in Alzheimer’s disease: a shift beyond amyloid? Cell. 2025;188(14):3629–30. 10.1016/j.cell.2025.06.016. [DOI] [PubMed] [Google Scholar]
  • 58.Congdon EE, Sigurdsson EM. Tau-targeting therapies for Alzheimer disease. Nat Rev Neurol. 2018;14(7):399–415. 10.1038/s41582-018-0013-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Braak H, Braak E. Diagnostic criteria for neuropathologic assessment of Alzheimer’s disease. Neurobiol Aging. 1997;18(4 Suppl):S85–8. 10.1016/s0197-4580(97)00062-6. [DOI] [PubMed] [Google Scholar]
  • 60.Frost B, Diamond MI. Prion-like mechanisms in neurodegenerative diseases. Nat Rev Neurosci. 2010;11(3):155–9. 10.1038/nrn2786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Petkova AT, Leapman RD, Guo Z, Yau WM, Mattson MP, Tycko R. Self-propagating, molecular-level polymorphism in Alzheimer’s beta-amyloid fibrils. Science. 2005;307(5707):262–5. 10.1126/science.1105850. [DOI] [PubMed] [Google Scholar]
  • 62.Hyman B. All the tau we cannot see. Annu Rev Med. 2023;74:503–14. 10.1146/annurev-med-042921-023749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Santacruz K, Lewis J, Spires T, Paulson J, Kotilinek L, Ingelsson M, et al. Tau suppression in a neurodegenerative mouse model improves memory function. Science. 2005;309(5733):476–81. 10.1126/science.1113694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Fox LM, William CM, Adamowicz DH, Pitstick R, Carlson GA, Spires-Jones TL, et al. Soluble tau species, not neurofibrillary aggregates, disrupt neural system integration in a tau transgenic model. J Neuropathol Exp Neurol. 2011;70(7):588–95. 10.1097/NEN.0b013e318220a658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Polydoro M, Dzhala VI, Pooler AM, Nicholls SB, McKinney AP, Sanchez L, et al. Soluble pathological tau in the entorhinal cortex leads to presynaptic deficits in an early Alzheimer’s disease model. Acta Neuropathol. 2014;127(2):257–70. 10.1007/s00401-013-1215-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Rudinskiy N, Hawkes JM, Betensky RA, Eguchi M, Yamaguchi S, Spires-Jones TL, et al. Orchestrated experience-driven Arc responses are disrupted in a mouse model of Alzheimer’s disease. Nat Neurosci. 2012;15(10):1422–9. 10.1038/nn.3199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Ittner LM, Ke YD, Delerue F, Bi M, Gladbach A, van Eersel J, et al. Dendritic function of tau mediates amyloid-beta toxicity in Alzheimer’s disease mouse models. Cell. 2010;142(3):387–97. 10.1016/j.cell.2010.06.036. [DOI] [PubMed] [Google Scholar]
  • 68.Kaufman AC, Salazar SV, Haas LT, Yang J, Kostylev MA, Jeng AT, et al. Fyn inhibition rescues established memory and synapse loss in Alzheimer mice. Ann Neurol. 2015;77(6):953–71. 10.1002/ana.24394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Nygaard HB. Targeting Fyn kinase in Alzheimer’s disease. Biol Psychiatry. 2018;83(4):369–76. 10.1016/j.biopsych.2017.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Campion D, Pottier C, Nicolas G, Le Guennec K, Rovelet-Lecrux A. Alzheimer disease: modeling an Abeta-centered biological network. Mol Psychiatry. 2016;21(7):861–71. 10.1038/mp.2016.38. [DOI] [PubMed] [Google Scholar]
  • 71.Datta D, Perone I, Wijegunawardana D, Liang F, Morozov YM, Arellano J, et al. Nanoscale imaging of pT217-tau in aged rhesus macaque entorhinal and dorsolateral prefrontal cortex: Evidence of interneuronal trafficking and early-stage neurodegeneration. bioRxiv. 2023. 10.1101/2023.11.07.566046. [DOI] [PMC free article] [PubMed]
  • 72.Sadleir KR, Kandalepas PC, Buggia-Prevot V, Nicholson DA, Thinakaran G, Vassar R. Presynaptic dystrophic neurites surrounding amyloid plaques are sites of microtubule disruption, BACE1 elevation, and increased Aβ generation in Alzheimer’s disease. Acta Neuropathol. 2016;132(2):235–56. 10.1007/s00401-016-1558-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Oveisgharan S, Yu L, Wang Y, Yang J, Vialle R, Lopes KP, et al. 13Amyloid beta binding partners in the brain tissue of older adults. Alzheimer’s Dementia. 2025;21(11):e70882. 10.1002/alz.70882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Terwel D, Muyllaert D, Dewachter I, Borghgraef P, Croes S, Devijver H, et al. 14Amyloid activates GSK-3beta to aggravate neuronal tauopathy in bigenic mice. Am J Pathol. 2008;172(3):786–98. 10.2353/ajpath.2008.070904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Hernandez P, Lee G, Sjoberg M, Maccioni RB. 15Tau phosphorylation by cdk5 and Fyn in response to amyloid peptide Abeta (25-35): involvement of lipid rafts. J Alzheimers Dis. 2009;16(1):149–56. 10.3233/JAD-2009-0933. [DOI] [PubMed] [Google Scholar]
  • 76.Drewes G, Lichtenberg-Kraag B, Doring F, Mandelkow EM, Biernat J, Goris J, et al. Mitogen activated protein (MAP) kinase transforms tau protein into an Alzheimer-like state. EMBO J. 1992;11(6):2131–8. 10.1002/j.1460-2075.1992.tb05272.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Feijoo C, Campbell DG, Jakes R, Goedert M, Cuenda A. 17Evidence that phosphorylation of the microtubule-associated protein Tau by SAPK4/p38delta at Thr50 promotes microtubule assembly. J Cell Sci. 2005;118(2):397–408. 10.1242/jcs.01655. [DOI] [PubMed] [Google Scholar]
  • 78.Sengupta U, Guerrero-Munoz MJ, Castillo-Carranza DL, Lasagna-Reeves CA, Gerson JE, Paulucci-Holthauzen AA, et al. 18Pathological interface between oligomeric alpha-synuclein and tau in synucleinopathies. Biol Psychiatry. 2015;78(10):672–83. 10.1016/j.biopsych.2014.12.019. [DOI] [PubMed] [Google Scholar]
  • 79.Gamblin TC, Chen F, Zambrano A, Abraha A, Lagalwar S, Guillozet AL, et al. Caspase cleavage of tau: linking amyloid and neurofibrillary tangles in Alzheimer’s disease. Proc Natl Acad Sci U S A. 2003;100(17):10032–7. 10.1073/pnas.1630428100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Mirbaha H, Holmes BB, Sanders DW, Bieschke J, Diamond MI. Tau trimers are the minimal propagation unit spontaneously internalized to seed intracellular aggregation. J Biol Chem. 2015;290(24):14893–903. 10.1074/jbc.M115.652693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Campion D, Pottier C, Nicolas G, Le Guennec K, Rovelet-Lecrux A. 21Alzheimer disease: modeling an Abeta-centered biological network. Mol Psychiatry. 2016;21(7):861–71. 10.1038/mp.2016.38. [DOI] [PubMed] [Google Scholar]
  • 82.Kinney JW, Bemiller SM, Murtishaw AS, Leisgang AM, Salazar AM, Lamb BT. Inflammation as a central mechanism in Alzheimer’s disease. Alzheimer’s & Dement (N Y). 2018;4:575–90. 10.1016/j.trci.2018.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Zhang F, Jiang L. Neuroinflammation in Alzheimer’s disease. Neuropsychiatr Dis Treat. 2015;11:243–56. 10.2147/NDT.S75546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Regen F, Hellmann-Regen J, Costantini E, Reale M. Neuroinflammation and Alzheimer’s disease: implications for microglial activation. Curr Alzheimer Res. 2017;14(11):1140–8. 10.2174/1567205014666170203141717. [DOI] [PubMed] [Google Scholar]
  • 85.Bronzuoli MR, Iacomino A, Steardo L, Scuderi C. Targeting neuroinflammation in Alzheimer’s disease. J Inflamm Res. 2016;9:199–208. 10.2147/JIR.S86958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Minter MR, Taylor JM, Crack PJ. The contribution of neuroinflammation to amyloid toxicity in Alzheimer’s disease. J Neurochem. 2016;136(3):457–74. 10.1111/jnc.13411. [DOI] [PubMed] [Google Scholar]
  • 87.Ising C, Venegas C, Zhang S, Scheiblich H, Schmidt SV, Vieira-Saecker A, et al. NLRP3 inflammasome activation drives tau pathology. Nature. 2019;575(7784):669–73. 10.1038/s41586-019-1769-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Franco-Bocanegra DK, George B, Lau LC, Holmes C, Nicoll JAR, Boche D. Microglial motility in Alzheimer’s disease and after Aβ42 immunotherapy: a human post-mortem study. Acta Neuropathol Commun. 2019;7(1):174. 10.1186/s40478-019-0828-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Hamelin L, Lagarde J, Dorothee G, Leroy C, Labit M, Comley RA, et al. Early and protective microglial activation in Alzheimer’s disease: a prospective study using 18F-DPA-714 PET imaging. Brain. 2016;139(4):1252–64. 10.1093/brain/aww017. [DOI] [PubMed] [Google Scholar]
  • 90.McGeer PL, Itagaki S, Boyes BE, McGeer EG. Reactive microglia are positive for HLA-DR in the substantia nigra of Parkinson’s and Alzheimer’s disease brains. Neurology. 1988;38(8):1285–91. 10.1212/wnl.38.8.1285. [DOI] [PubMed] [Google Scholar]
  • 91.Zotova E, Holmes C, Johnston D, Neal JW, Nicoll JA, Boche D. Microglial alterations in human Alzheimer’s disease following Aβ42 immunization. Neuropathol Appl Neurobiol. 2011;37(5):513–24. 10.1111/j.1365-2990.2010.01156.x. [DOI] [PubMed] [Google Scholar]
  • 92.Jung S, Schwartz M. Non-identical twins - microglia and monocyte-derived macrophages in acute injury and autoimmune inflammation. Front Immunol. 2012;3:89. 10.3389/fimmu.2012.00089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Chhor V, Le Charpentier T, Lebon S, Ore MV, Celador IL, Josserand J, et al. 38Characterization of phenotype markers and neuronotoxic potential of polarised primary microglia in vitro. Brain Behav Immun. 2013;32:70–85. 10.1016/j.bbi.2013.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Boche D, Perry VH, Nicoll JA. 39Review: activation patterns of microglia and their identification in the human brain. Neuropathol Appl Neurobiol. 2013;39(1):3–18. 10.1111/nan.12011. [DOI] [PubMed] [Google Scholar]
  • 95.Chhor V, Le Charpentier T, Lebon S, Ore MV, Celador IL, Josserand J, et al. 40Characterization of phenotype markers and neuronotoxic potential of polarised primary microglia in vitro. Brain Behav Immun. 2013;32:70–85. 10.1016/j.bbi.2013.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Nakagawa Y, Chiba K. Diversity and plasticity of microglial cells in psychiatric and neurological disorders. Pharmacol Ther. 2015;154:21–35. 10.1016/j.pharmthera.2015.06.010. [DOI] [PubMed] [Google Scholar]
  • 97.Franco R, Fernandez-Suarez D. Alternatively activated microglia and macrophages in the central nervous system. Prog Neurobiol. 2015;131:65–86. 10.1016/j.pneurobio.2015.05.003. [DOI] [PubMed] [Google Scholar]
  • 98.Chauhan P, Sheng WS, Hu S, Prasad S, Lokensgard JR. 43Differential Cytokine-Induced Responses of Polarized Microglia. Brain Sci. 2021;11(11). 10.3390/brainsci11111482. [DOI] [PMC free article] [PubMed]
  • 99.Wilms H, Rosenstiel P, Sievers J, Deuschl G, Zecca L, Lucius R. 47activation of microglia by human neuromelanin is NF-kappaB dependent and involves p38 mitogen-activated protein kinase: implications for Parkinson’s disease. FASEB J. 2003;17(3):500–2. 10.1096/fj.02-0314fje. [DOI] [PubMed] [Google Scholar]
  • 100.Jetten N, Verbruggen S, Gijbels MJ, Post MJ, De Winther MP, Donners MM. Anti-inflammatory M2, but not pro-inflammatory M1 macrophages promote angiogenesis in vivo. Angiogenesis. 2014;17(1):109–18. 10.1007/s10456-013-9381-6. [DOI] [PubMed] [Google Scholar]
  • 101.Tang Y, Le W. Differential roles of M1 and M2 microglia in neurodegenerative diseases. Mol Neurobiol. 2016;53(2):1181–94. 10.1007/s12035-014-9070-5. [DOI] [PubMed] [Google Scholar]
  • 102.Cai Y, Liu J, Wang B, Sun M, Yang H. Microglia in the Neuroinflammatory Pathogenesis of Alzheimer’s Disease and Related Therapeutic Targets. Front Immunol. 2022;13:856376. 10.3389/fimmu.2022.856376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Sierra A, Encinas JM, Deudero JJ, Chancey JH, Enikolopov G, Overstreet-Wadiche LS, et al. Microglia shape adult hippocampal neurogenesis through apoptosis-coupled phagocytosis. Cell Stem Cell. 2010;7(4):483–95. 10.1016/j.stem.2010.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Tremblay ME, Lowery RL, Majewska AK. Microglial interactions with synapses are modulated by visual experience. PLoS Biol. 2010;8(11):e1000527. 10.1371/journal.pbio.1000527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Eyo UB, Dailey ME. Microglia: key elements in neural development, plasticity, and pathology. J Neuroimmune Pharmacol. 2013;8(3):494–509. 10.1007/s11481-013-9434-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Pierre WC, Smith PLP, Londono I, Chemtob S, Mallard C, Lodygensky GA. Neonatal microglia: the cornerstone of brain fate. Brain Behav Immun. 2017;59:333–45. 10.1016/j.bbi.2016.08.018. [DOI] [PubMed] [Google Scholar]
  • 107.Qiu J, Guo J, Liu L, Liu X, Sun X, Chen H. Vav1 promotes inflammation and neuronal apoptosis in cerebral ischemia/reperfusion injury by upregulating microglial and NLRP3 inflammasome activation. Neural Regen Res. 2023;18(11):2436–42. 10.4103/1673-5374.371368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Xiong F, Ge W, Ma C. Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer’s disease. Alzheimers Dement. 2019;15(3):429–40. 10.1016/j.jalz.2018.10.006. [DOI] [PubMed] [Google Scholar]
  • 109.Baligacs N, Albertini G, Borrie SC, Serneels L, Pridans C, Balusu S, et al. Homeostatic microglia initially seed and activated microglia later reshape amyloid plaques in Alzheimer’s Disease. Nat Commun. 2024;15(1):10634. 10.1038/s41467-024-54779-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Huang Y, Happonen KE, Burrola PG, O’Connor C, Hah N, Huang L, et al. 58Microglia use TAM receptors to detect and engulf amyloid beta plaques. Nat Immunol. 2021;22(5):586–94. 10.1038/s41590-021-00913-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Li W, Cao T, Luo C, Cai J, Zhou X, Xiao X, et al. Crosstalk between ER stress, NLRP3 inflammasome, and inflammation. Appl Microbiol Biotechnol. 2020;104(14):6129–40. 10.1007/s00253-020-10614-y. [DOI] [PubMed] [Google Scholar]
  • 112.Bronner DN, Abuaita BH, Chen X, Fitzgerald KA, Nunez G, He Y, et al. Endoplasmic reticulum stress activates the inflammasome via NLRP3- and caspase-2-driven mitochondrial damage. Immunity. 2015;43(3):451–62. 10.1016/j.immuni.2015.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Jin X, Yamashita T. Microglia in central nervous system repair after injury. J Biochem. 2016;159(5):491–6. 10.1093/jb/mvw009. [DOI] [PubMed] [Google Scholar]
  • 114.Pan XD, Zhu YG, Lin N, Zhang J, Ye QY, Huang HP, et al. Microglial phagocytosis induced by fibrillar beta-amyloid is attenuated by oligomeric beta-amyloid: implications for Alzheimer’s disease. Mol Neurodegener. 2011;6:45. 10.1186/1750-1326-6-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Deane R, Singh I, Sagare AP, Bell RD, Ross NT, LaRue B, et al. A multimodal RAGE-specific inhibitor reduces amyloid β–mediated brain disorder in a mouse model of Alzheimer disease. J Clin Invest. 2012;122(4):1377–92. 10.1172/JCI58642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Venegas C, Kumar S, Franklin BS, Dierkes T, Brinkschulte R, Tejera D, et al. Microglia-derived ASC specks cross-seed amyloid-beta in Alzheimer’s disease. Nature. 2017;552(7685):355–61. 10.1038/nature25158. [DOI] [PubMed] [Google Scholar]
  • 117.Brelstaff JH, Mason M, Katsinelos T, McEwan WA, Ghetti B, Tolkovsky AM, et al. Microglia become hypofunctional and release metalloproteases and tau seeds when phagocytosing live neurons with P301S tau aggregates. Sci Adv. 2021;7(43):eabg4980. 10.1126/sciadv.abg4980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Ju Y, Tam KY. Pathological mechanisms and therapeutic strategies for Alzheimer’s disease. Neural Regen Res. 2022;17(3):543–9. 10.4103/1673-5374.320970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Stancu IC, Cremers N, Vanrusselt H, Couturier J, Vanoosthuyse A, Kessels S, et al. Aggregated Tau activates NLRP3-ASC inflammasome exacerbating exogenously seeded and non-exogenously seeded Tau pathology in vivo. Acta Neuropathol. 2019;137(4):599–617. 10.1007/s00401-018-01957-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Keren-Shaul H, Spinrad A, Weiner A, Matcovitch-Natan O, Dvir-Szternfeld R, Ulland TK, et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease. Cell. 2017;169(7):1276-90 e17. 10.1016/j.cell.2017.05.018. [DOI] [PubMed] [Google Scholar]
  • 121.Mancuso R, Fattorelli N, Martinez-Muriana A, Davis E, Wolfs L, Van Den Daele J, et al. 73Xenografted human microglia display diverse transcriptomic states in response to Alzheimer’s disease-related amyloid-beta pathology. Nat Neurosci. 2024;27(5):886–900. 10.1038/s41593-024-01600-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Prater KE, Green KJ, Mamde S, Sun W, Cochoit A, Smith CL, et al. Human microglia show unique transcriptional changes in Alzheimer’s disease. Nat Aging. 2023;3(7):894–907. 10.1038/s43587-023-00424-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Wang S, Sudan R, Peng V, Zhou Y, Du S, Yuede CM, et al. TREM2 drives microglia response to amyloid-β via SYK-dependent and -independent pathways. Cell. 2022;185(22):4153-69 e19. 10.1016/j.cell.2022.09.033. (75). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Ennerfelt H, Frost EL, Shapiro DA, Holliday C, Zengeler KE, Voithofer G, et al. SYK coordinates neuroprotective microglial responses in neurodegenerative disease. Cell. 2022;185(22):4135-52 e22. 10.1016/j.cell.2022.09.030. (76). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Yin Z, Herron S, Silveira S, Kleemann K, Gauthier C, Mallah D, et al. 78Identification of a protective microglial state mediated by miR-155 and interferon-gamma signaling in a mouse model of Alzheimer’s disease. Nat Neurosci. 2023;26(7):1196–207. 10.1038/s41593-023-01355-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Qin Q, Teng Z, Liu C, Li Q, Yin Y, Tang Y. 79TREM2, microglia, and Alzheimer’s disease. Mech Ageing Dev. 2021;195:111438. 10.1016/j.mad.2021.111438. [DOI] [PubMed] [Google Scholar]
  • 127.Yin Z, Herron S, Silveira S, Kleemann K, Gauthier C, Mallah D, et al. 82Identification of a protective microglial state mediated by miR-155 and interferon-gamma signaling in a mouse model of Alzheimer’s disease. Nat Neurosci. 2023;26(7):1196–207. 10.1038/s41593-023-01355-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Zhu B, Liu Y, Hwang S, Archuleta K, Huang H, Campos A, et al. 83Trem2 deletion enhances tau dispersion and pathology through microglia exosomes. Mol Neurodegener. 2022;17(1):58. 10.1186/s13024-022-00562-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Rangaraju S, Dammer EB, Raza SA, Rathakrishnan P, Xiao H, Gao T, et al. Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer’s disease. Mol Neurodegener. 2018;13(1):24. 10.1186/s13024-018-0254-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Viejo L, Noori A, Merrill E, Das S, Hyman BT, Serrano-Pozo A. 86Systematic review of human post-mortem immunohistochemical studies and bioinformatics analyses unveil the complexity of astrocyte reaction in Alzheimer’s disease. Neuropathol Appl Neurobiol. 2022;48(1):e12753. 10.1111/nan.12753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Yun SP, Kam TI, Panicker N, Kim S, Oh Y, Park JS, et al. Block of A1 astrocyte conversion by microglia is neuroprotective in models of Parkinson’s disease. Nat Med. 2018;24(7):931–8. 10.1038/s41591-018-0051-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Liddelow SA, Guttenplan KA, Clarke LE, Bennett FC, Bohlen CJ, Schirmer L, et al. 89Neurotoxic reactive astrocytes are induced by activated microglia. Nature. 2017;541(7638):481–7. 10.1038/nature21029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Habib N, McCabe C, Medina S, Varshavsky M, Kitsberg D, Dvir-Szternfeld R, et al. 90Disease-associated astrocytes in Alzheimer’s disease and aging. Nat Neurosci. 2020;23(6):701–6. 10.1038/s41593-020-0624-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Zhou Y, Song WM, Andhey PS, Swain A, Levy T, Miller KR, et al. Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer’s disease. Nat Med. 2020;26(1):131–42. 10.1038/s41591-019-0695-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Glover HL, Schreiner A, Dewson G, Tait SWG. 92Mitochondria and cell death. Nat Cell Biol. 2024;26(9):1434–46. 10.1038/s41556-024-01429-4. [DOI] [PubMed] [Google Scholar]
  • 136.Reutzel M, Grewal R, Joppe A, Eckert GP. Age-dependent alterations of cognition, mitochondrial function, and beta-amyloid deposition in a murine model of Alzheimer’s disease-a longitudinal study. Front Aging Neurosci. 2022;14:875989. 10.3389/fnagi.2022.875989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Morton H, Kshirsagar S, Orlov E, Bunquin LE, Sawant N, Boleng L, et al. Defective mitophagy and synaptic degeneration in Alzheimer’s disease: focus on aging, mitochondria and synapse. Free Radic Biol Med. 2021;172:652–67. 10.1016/j.freeradbiomed.2021.07.013. [DOI] [PubMed] [Google Scholar]
  • 138.Antonucci S, Di Lisa F, Kaludercic N. 96Mitochondrial reactive oxygen species in physiology and disease. Cell Calcium. 2021;94:102344. 10.1016/j.ceca.2020.102344. [DOI] [PubMed] [Google Scholar]
  • 139.Antonucci S, Di Lisa F, Kaludercic N. 97Mitochondrial reactive oxygen species in physiology and disease. Cell Calcium. 2021;94:102344. 10.1016/j.ceca.2020.102344. [DOI] [PubMed] [Google Scholar]
  • 140.Monzio Compagnoni G, Di Fonzo A, Corti S, Comi GP, Bresolin N, Masliah E. 98The Role of Mitochondria in Neurodegenerative Diseases: the Lesson from Alzheimer’s Disease and Parkinson’s Disease. Mol Neurobiol. 2020;57(7):2959–80. 10.1007/s12035-020-01926-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Swerdlow RH. Mitochondria and cell bioenergetics: increasingly recognized components and a possible etiologic cause of Alzheimer’s disease. Antioxid Redox Signal. 2012;16(12):1434–55. 10.1089/ars.2011.4149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Mani S, Swargiary G, Singh M, Agarwal S, Dey A, Ojha S, et al. Mitochondrial defects: an emerging theranostic avenue towards Alzheimer’s associated dysregulations. Life Sci. 2021;285:119985. 10.1016/j.lfs.2021.119985. [DOI] [PubMed] [Google Scholar]
  • 143.Choi EH, Kim MH, Park SJ. 101Targeting Mitochondrial Dysfunction and Reactive Oxygen Species for Neurodegenerative Disease Treatment. Int J Mol Sci. 2024;25(14). 10.3390/ijms25147952. [DOI] [PMC free article] [PubMed]
  • 144.Guo C, Sun L, Chen X, Zhang D. Oxidative stress, mitochondrial damage and neurodegenerative diseases. Neural Regen Res. 2013;8(21):2003–14. 10.3969/j.issn.1673-5374.2013.21.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Rius-Perez S, Torres-Cuevas I, Millan I, Ortega AL, Perez S. PGC-1alpha, inflammation, and oxidative stress: an integrative view in metabolism. Oxid Med Cell Longev. 2020;2020:1452696. 10.1155/2020/1452696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Manczak M, Calkins MJ, Reddy PH. 107Impaired mitochondrial dynamics and abnormal interaction of amyloid beta with mitochondrial protein Drp1 in neurons from patients with Alzheimer’s disease: implications for neuronal damage. Hum Mol Genet. 2011;20(13):2495–509. 10.1093/hmg/ddr139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Kim DI, Lee KH, Gabr AA, Choi GE, Kim JS, Ko SH, et al. 108Abeta-Induced Drp1 phosphorylation through Akt activation promotes excessive mitochondrial fission leading to neuronal apoptosis. Biochim Biophys Acta. 2016;1863(11):2820–34. 10.1016/j.bbamcr.2016.09.003. [DOI] [PubMed] [Google Scholar]
  • 148.Manczak M, Calkins MJ, Reddy PH. 109Impaired mitochondrial dynamics and abnormal interaction of amyloid beta with mitochondrial protein Drp1 in neurons from patients with Alzheimer’s disease: implications for neuronal damage. Hum Mol Genet. 2011;20(13):2495–509. 10.1093/hmg/ddr139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Pradeepkiran JA, Reddy PH. 110Defective mitophagy in Alzheimer’s disease. Ageing Res Rev. 2020;64:101191. 10.1016/j.arr.2020.101191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Pradeepkiran JA, Reddy PH. 111Defective mitophagy in Alzheimer’s disease. Ageing Res Rev. 2020;64:101191. 10.1016/j.arr.2020.101191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Araya J, Tsubouchi K, Sato N, Ito S, Minagawa S, Hara H, et al. 112PRKN-regulated mitophagy and cellular senescence during COPD pathogenesis. Autophagy. 2019;15(3):510–26. 10.1080/15548627.2018.1532259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Oliver DMA, Reddy PH. 113Molecular Basis of Alzheimer’s Disease: Focus on Mitochondria. J Alzheimers Dis. 2019;72(s1):S95–116. 10.3233/JAD-190048. [DOI] [PubMed] [Google Scholar]
  • 153.Schreiner B, Hedskog L, Wiehager B, Ankarcrona M. 114Amyloid-beta peptides are generated in mitochondria-associated endoplasmic reticulum membranes. J Alzheimers Dis. 2015;43(2):369–74. 10.3233/JAD-132543. [DOI] [PubMed] [Google Scholar]
  • 154.Ye Z, Liu Y, Jin X, Wu Y, Zhao H, Gao T, et al. 115Abeta-binding with alcohol dehydrogenase drives Alzheimer’s disease pathogenesis: A review. Int J Biol Macromol. 2024;264(Pt 2):130580. 10.1016/j.ijbiomac.2024.130580. [DOI] [PubMed] [Google Scholar]
  • 155.Saha A, Saleem S, Paidi RK, Biswas SC. 116BH3-only proteins Puma and Beclin1 regulate autophagic death in neurons in response to Amyloid-beta. Cell Death Discov. 2021;7(1):356. 10.1038/s41420-021-00748-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Yuan Y, Zhang X, Zheng Y, Chen Z. Regulation of mitophagy in ischemic brain injury. Neurosci Bull. 2015;31(4):395–406. 10.1007/s12264-015-1544-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Kanaan NM, Pigino GF, Brady ST, Lazarov O, Binder LI, Morfini GA. Axonal degeneration in Alzheimer’s disease: when signaling abnormalities meet the axonal transport system. Exp Neurol. 2013;246:44–53. 10.1016/j.expneurol.2012.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Kerr JS, Adriaanse BA, Greig NH, Mattson MP, Cader MZ, Bohr VA, et al. Mitophagy and Alzheimer’s disease: cellular and molecular mechanisms. Trends Neurosci. 2017;40(3):151–66. 10.1016/j.tins.2017.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Bajaj L, Lotfi P, Pal R, Ronza AD, Sharma J, Sardiello M. Lysosome biogenesis in health and disease. J Neurochem. 2019;148(5):573–89. 10.1111/jnc.14564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Long JM, Holtzman DM. Alzheimer disease: an update on pathobiology and treatment strategies. Cell. 2019;179(2):312–39. 10.1016/j.cell.2019.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Cummins N, Tweedie A, Zuryn S, Bertran-Gonzalez J, Gotz J. 122Disease-associated tau impairs mitophagy by inhibiting Parkin translocation to mitochondria. EMBO J. 2019;38(3). 10.15252/embj.201899360. [DOI] [PMC free article] [PubMed]
  • 162.Gordon BA, Blazey TM, Su Y, Hari-Raj A, Dincer A, Flores S, et al. Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer’s disease: a longitudinal study. Lancet Neurol. 2018;17(3):241–50. 10.1016/S1474-4422(18)30028-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Sweeney MD, Sagare AP, Zlokovic BV. Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders. Nat Rev Neurol. 2018;14(3):133–50. 10.1038/nrneurol.2017.188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Wang W, Zhao F, Ma X, Perry G, Zhu X. Mitochondria dysfunction in the pathogenesis of Alzheimer’s disease: recent advances. Mol Neurodegener. 2020;15(1):30. 10.1186/s13024-020-00376-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Dewanjee S, Chakraborty P, Bhattacharya H, Chacko L, Singh B, Chaudhary A, et al. Altered glucose metabolism in Alzheimer’s disease: role of mitochondrial dysfunction and oxidative stress. Free Radic Biol Med. 2022;193(1):134–57. 10.1016/j.freeradbiomed.2022.09.032. [DOI] [PubMed] [Google Scholar]
  • 166.Koepsell H. Glucose transporters in brain in health and disease. Pflugers Arch. 2020;472(9):1299–343. 10.1007/s00424-020-02441-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Shah K, Desilva S, Abbruscato T. The role of glucose transporters in brain disease: diabetes and Alzheimer’s Disease. Int J Mol Sci. 2012;13(10):12629–55. 10.3390/ijms131012629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Raut S, Bhalerao A, Powers M, Gonzalez M, Mancuso S, Cucullo L. 129Hypometabolism, Alzheimer's Disease, and Possible Therapeutic Targets: An Overview. Cells. 2023;12(16). 10.3390/cells12162019. [DOI] [PMC free article] [PubMed]
  • 169.Huang CW, Rust NC, Wu HF, Yin A, Zeltner N, Yin H, et al. Low glucose induced Alzheimer’s disease-like biochemical changes in human induced pluripotent stem cell-derived neurons is due to dysregulated O-GlcNAcylation. Alzheimers Dement. 2023;19(11):4872–85. 10.1002/alz.13058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Camandola S, Mattson MP. Brain metabolism in health, aging, and neurodegeneration. EMBO J. 2017;36(11):1474–92. 10.15252/embj.201695810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Wang Y, Hu H, Liu X, Guo X. Hypoglycemic medicines in the treatment of Alzheimer’s disease: Pathophysiological links between AD and glucose metabolism. Front Pharmacol. 2023;14:1138499. 10.3389/fphar.2023.1138499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Nowell J, Blunt E, Gupta D, Edison P. Antidiabetic agents as a novel treatment for Alzheimer’s and Parkinson’s disease. Ageing Res Rev. 2023;89:101979. 10.1016/j.arr.2023.101979. [DOI] [PubMed] [Google Scholar]
  • 173.Curtis D, Bandyopadhyay S. Mini-review: Role of the PI3K/Akt pathway and tyrosine phosphatases in Alzheimer’s disease susceptibility. Ann Hum Genet. 2021;85(1):1–6. 10.1111/ahg.12410. [DOI] [PubMed] [Google Scholar]
  • 174.Sims-Robinson C, Kim B, Rosko A, Feldman EL. How does diabetes accelerate Alzheimer disease pathology? Nat Rev Neurol. 2010;6(10):551–9. 10.1038/nrneurol.2010.130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.De Felice FG, Ferreira ST. Inflammation, defective insulin signaling, and mitochondrial dysfunction as common molecular denominators connecting type 2 diabetes to Alzheimer disease. Diabetes. 2014;63(7):2262–72. 10.2337/db13-1954. [DOI] [PubMed] [Google Scholar]
  • 176.Di Paolo G, Kim TW. Linking lipids to Alzheimer’s disease: cholesterol and beyond. Nat Rev Neurosci. 2011;12(5):284–96. 10.1038/nrn3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Cermenati G, Mitro N, Audano M, Melcangi RC, Crestani M, De Fabiani E, et al. Lipids in the nervous system: from biochemistry and molecular biology to patho-physiology. Biochim Biophys Acta. 2015;1851(1):51–60. 10.1016/j.bbalip.2014.08.011. [DOI] [PubMed] [Google Scholar]
  • 178.Snowden SG, Ebshiana AA, Hye A, An Y, Pletnikova O, O’Brien R, et al. Association between fatty acid metabolism in the brain and Alzheimer disease neuropathology and cognitive performance: a nontargeted metabolomic study. PLoS Med. 2017;14(3):e1002266. 10.1371/journal.pmed.1002266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Wood PL. 142Lipidomics of Alzheimer’s disease: current status. Alzheimers Res Ther. 2012;4(1):5. 10.1186/alzrt103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Touboul D, Gaudin M. 143Lipidomics of Alzheimer’s disease. Bioanalysis. 2014;6(4):541–61. 10.4155/bio.13.346. [DOI] [PubMed] [Google Scholar]
  • 181.Kao YC, Ho PC, Tu YK, Jou IM, Tsai KJ. 144Lipids and Alzheimer's Disease. Int J Mol Sci. 2020;21(4). 10.3390/ijms21041505. [DOI] [PMC free article] [PubMed]
  • 182.Lazar AN, Bich C, Panchal M, Desbenoit N, Petit VW, Touboul D, et al. Time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging reveals cholesterol overload in the cerebral cortex of Alzheimer disease patients. Acta Neuropathol. 2013;125(1):133–44. 10.1007/s00401-012-1041-1. [DOI] [PubMed] [Google Scholar]
  • 183.Saiz-Vazquez O, Puente-Martinez A, Ubillos-Landa S, Pacheco-Bonrostro J, Santabarbara J. 146Cholesterol and Alzheimer's Disease Risk: A Meta-Meta-Analysis. Brain Sci. 2020;10(6). 10.3390/brainsci10060386. [DOI] [PMC free article] [PubMed]
  • 184.Chan RB, Oliveira TG, Cortes EP, Honig LS, Duff KE, Small SA, et al. 147Comparative lipidomic analysis of mouse and human brain with Alzheimer disease. J Biol Chem. 2012;287(4):2678–88. 10.1074/jbc.M111.274142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Bernath MM, Bhattacharyya S, Nho K, Barupal DK, Fiehn O, Baillie R, et al. Serum triglycerides in Alzheimer disease: relation to neuroimaging and CSF biomarkers. Neurology. 2020;94(20):e2088–98. 10.1212/WNL.0000000000009436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Proitsi P, Kim M, Whiley L, Pritchard M, Leung R, Soininen H, et al. Plasma lipidomics analysis finds long chain cholesteryl esters to be associated with Alzheimer’s disease. Transl Psychiatry. 2015;5(1):e494. 10.1038/tp.2014.127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Liu Y, Thalamuthu A, Mather KA, Crawford J, Ulanova M, Wong MWK, et al. Plasma lipidome is dysregulated in Alzheimer’s disease and is associated with disease risk genes. Transl Psychiatry. 2021;11(1):344. 10.1038/s41398-021-01362-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.van der Kant R, Langness VF, Herrera CM, Williams DA, Fong LK, Leestemaker Y, et al. Cholesterol Metabolism Is a Druggable Axis that Independently Regulates Tau and Amyloid-β in iPSC-Derived Alzheimer’s Disease Neurons. Cell Stem Cell. 2019;24(3):363-75 e9. 10.1016/j.stem.2018.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189.Mendiola AS, Tognatta R, Yan Z, Akassoglou K. ApoE and immunity in Alzheimer’s disease and related tauopathies: low-density lipoprotein receptor to the rescue. Neuron. 2021;109(15):2363–5. 10.1016/j.neuron.2021.07.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Shi Y, Andhey PS, Ising C, Wang K, Snipes LL, Boyer K, et al. Overexpressing low-density lipoprotein receptor reduces tau-associated neurodegeneration in relation to apoE-linked mechanisms. Neuron. 2021;109(15):2413-26 e7. 10.1016/j.neuron.2021.05.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Kim J, Castellano JM, Jiang H, Basak JM, Parsadanian M, Pham V, et al. 154Overexpression of low-density lipoprotein receptor in the brain markedly inhibits amyloid deposition and increases extracellular A beta clearance. Neuron. 2009;64(5):632–44. 10.1016/j.neuron.2009.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Taddei RN, Perbet R, Mate de Gerando A, Wiedmer AE, Sanchez-Mico M, Connors Stewart T, et al. Tau Oligomer-Containing Synapse Elimination by Microglia and Astrocytes in Alzheimer Disease. JAMA Neurol. 2023;80(11):1209–21. 10.1001/jamaneurol.2023.3530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Paasila PJ, Aramideh JA, Sutherland GT, Graeber MB. Synapses, microglia, and lipids in Alzheimer’s disease. Front Neurosci. 2021;15:778822. 10.3389/fnins.2021.778822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194.Sultana R, Banks WA, Butterfield DA. Decreased levels of PSD95 and two associated proteins and increased levels of BCl2 and caspase 3 in hippocampus from subjects with amnestic mild cognitive impairment: insights into their potential roles for loss of synapses and memory, accumulation of Abeta, and neurodegeneration in a prodromal stage of Alzheimer’s disease. J Neurosci Res. 2010;88(3):469–77. 10.1002/jnr.22227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Kumar S, Orlov E, Gowda P, Bose C, Swerdlow RH, Lahiri DK, et al. Synaptosome microRNAs regulate synapse functions in Alzheimer’s disease. NPJ Genom Med. 2022;7(1):47. 10.1038/s41525-022-00319-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Dalal S, Ramirez-Gomez J, Sharma B, Devara D, Kumar S. MicroRNAs and synapse turnover in Alzheimer’s disease. Ageing Res Rev. 2024;99:102377. 10.1016/j.arr.2024.102377. [DOI] [PubMed] [Google Scholar]
  • 197.Rivera J, Sharma B, Torres MM, Kumar S. Factors affecting the GABAergic synapse function in Alzheimer’s disease: focus on microRNAs. Ageing Res Rev. 2023;92:102123. 10.1016/j.arr.2023.102123. [DOI] [PubMed] [Google Scholar]
  • 198.Chopra N, Wang R, Maloney B, Nho K, Beck JS, Pourshafie N, et al. 161MicroRNA-298 reduces levels of human amyloid-beta precursor protein (APP), beta-site APP-converting enzyme 1 (BACE1) and specific tau protein moieties. Mol Psychiatry. 2021;26(10):5636–57. 10.1038/s41380-019-0610-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Wang R, Chopra N, Nho K, Maloney B, Obukhov AG, Nelson PT, et al. Human microRNA (miR-20b-5p) modulates Alzheimer’s disease pathways and neuronal function, and a specific polymorphism close to the MIR20B gene influences Alzheimer’s biomarkers. Mol Psychiatry. 2022;27(2):1256–73. 10.1038/s41380-021-01351-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Kumar S. Synaptosome microRNAs: emerging synapse players in aging and Alzheimer’s disease. Neural Regen Res. 2023;18(6):1275–6. 10.4103/1673-5374.360172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Kumar S, Reddy PH. The role of synaptic microRNAs in Alzheimer’s disease. Biochim Biophys Acta Mol Basis Dis. 2020;1866(12):165937. 10.1016/j.bbadis.2020.165937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Siedlecki-Wullich D, Minano-Molina AJ, Rodriguez-Alvarez J. 166microRNAs as Early Biomarkers of Alzheimer's Disease: A Synaptic Perspective. Cells. 2021;10(1). 10.3390/cells10010113. [DOI] [PMC free article] [PubMed]
  • 203.Abuelezz NZ, Nasr FE, AbdulKader MA, Bassiouny AR, Zaky A. MicroRNAs as potential orchestrators of Alzheimer’s disease-related pathologies: insights on current status and future possibilities. Front Aging Neurosci. 2021;13:743573. 10.3389/fnagi.2021.743573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Kumar S, Reddy AP, Yin X, Reddy PH. Novel MicroRNA-455-3p and its protective effects against abnormal APP processing and amyloid beta toxicity in Alzheimer’s disease. Biochim Biophys Acta Mol Basis Dis. 2019;1865(9):2428–40. 10.1016/j.bbadis.2019.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Kumar S, Morton H, Sawant N, Orlov E, Bunquin LE, Pradeepkiran JA, et al. MicroRNA-455-3p improves synaptic, cognitive functions and extends lifespan: relevance to Alzheimer’s disease. Redox Biol. 2021;48:102182. 10.1016/j.redox.2021.102182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Li S, Poon CH, Zhang Z, Yue M, Chen R, Zhang Y, et al. 174MicroRNA-128 suppresses tau phosphorylation and reduces amyloid-beta accumulation by inhibiting the expression of GSK3beta, APPBP2, and mTOR in Alzheimer’s disease. CNS Neurosci Ther. 2023;29(7):1848–64. 10.1111/cns.14143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Hampel H, Mesulam MM, Cuello AC, Farlow MR, Giacobini E, Grossberg GT, et al. The cholinergic system in the pathophysiology and treatment of Alzheimer’s disease. Brain. 2018;141(7):1917–33. 10.1093/brain/awy132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Beeri R, Andres C, Lev-Lehman E, Timberg R, Huberman T, Shani M, et al. Transgenic expression of human acetylcholinesterase induces progressive cognitive deterioration in mice. Curr Biol. 1995;5(9):1063–71. 10.1016/s0960-9822(95)00211-9. [DOI] [PubMed] [Google Scholar]
  • 209.Ferreira-Vieira TH, Guimaraes IM, Silva FR, Ribeiro FM. Alzheimer’s disease: targeting the Cholinergic System. Curr Neuropharmacol. 2016;14(1):101–15. 10.2174/1570159x13666150716165726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Mahoney-Sanchez L, Belaidi AA, Bush AI, Ayton S. The complex role of Apolipoprotein E in Alzheimer’s disease: an overview and update. J Mol Neurosci. 2016;60(3):325–35. 10.1007/s12031-016-0839-z. [DOI] [PubMed] [Google Scholar]
  • 211.Huang Y, Mahley RW. 187Apolipoprotein E: structure and function in lipid metabolism, neurobiology, and Alzheimer's diseases. Neurobiol Dis. 2014;72 Pt A:3-12. 10.1016/j.nbd.2014.08.025. [DOI] [PMC free article] [PubMed]
  • 212.Namba Y, Tomonaga M, Kawasaki H, Otomo E, Ikeda K. Apolipoprotein E immunoreactivity in cerebral amyloid deposits and neurofibrillary tangles in Alzheimer’s disease and kuru plaque amyloid in Creutzfeldt-Jakob disease. Brain Res. 1991;541(1):163–6. 10.1016/0006-8993(91)91092-f. [DOI] [PubMed] [Google Scholar]
  • 213.Ohkubo N, Mitsuda N, Tamatani M, Yamaguchi A, Lee YD, Ogihara T, et al. Apolipoprotein E4 stimulates cAMP response element-binding protein transcriptional activity through the extracellular signal-regulated kinase pathway. J Biol Chem. 2001;276(5):3046–53. 10.1074/jbc.M005070200. [DOI] [PubMed] [Google Scholar]
  • 214.Reiman EM, Arboleda-Velasquez JF, Quiroz YT, Huentelman MJ, Beach TG, Caselli RJ, et al. 190Exceptionally low likelihood of Alzheimer’s dementia in APOE2 homozygotes from a 5,000-person neuropathological study. Nat Commun. 2020;11(1):667. 10.1038/s41467-019-14279-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Gonneaud J, Arenaza-Urquijo EM, Fouquet M, Perrotin A, Fradin S, de La Sayette V, et al. 191Relative effect of APOE epsilon4 on neuroimaging biomarker changes across the lifespan. Neurology. 2016;87(16):1696–703. 10.1212/WNL.0000000000003234. [DOI] [PubMed] [Google Scholar]
  • 216.Lim YY, Mormino EC, Alzheimer’s Disease Neuroimaging I. APOE genotype and early beta-amyloid accumulation in older adults without dementia. Neurology. 2017;89(10):1028–34. 10.1212/WNL.0000000000004336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Liao F, Li A, Xiong M, Bien-Ly N, Jiang H, Zhang Y, et al. Targeting of nonlipidated, aggregated apoE with antibodies inhibits amyloid accumulation. J Clin Invest. 2018;128(5):2144–55. 10.1172/JCI96429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Hubin E, Verghese PB, van Nuland N, Broersen K. Apolipoprotein E associated with reconstituted high-density lipoprotein-like particles is protected from aggregation. FEBS Lett. 2019;593(11):1144–53. 10.1002/1873-3468.13428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Xia Z, Prescott EE, Urbanek A, Wareing HE, King MC, Olerinyova A, et al. 195Co-aggregation with Apolipoprotein E modulates the function of Amyloid-beta in Alzheimer’s disease. Nat Commun. 2024;15(1):4695. 10.1038/s41467-024-49028-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Shi Y, Yamada K, Liddelow SA, Smith ST, Zhao L, Luo W, et al. ApoE4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy. Nature. 2017;549(7673):523–7. 10.1038/nature24016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Therriault J, Benedet AL, Pascoal TA, Mathotaarachchi S, Chamoun M, Savard M, et al. 197Association of Apolipoprotein E epsilon4 With Medial Temporal Tau Independent of Amyloid-beta. JAMA Neurol. 2020;77(4):470–9. 10.1001/jamaneurol.2019.4421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Ferrari-Souza JP, Lussier FZ, Leffa DT, Therriault J, Tissot C, Bellaver B, et al. 199APOEepsilon4 associates with microglial activation independently of Abeta plaques and tau tangles. Sci Adv. 2023;9(14):eade1474. 10.1126/sciadv.ade1474. [DOI] [PMC free article] [PubMed]
  • 223.Wightman DP, Jansen IE, Savage JE, Shadrin AA, Bahrami S, Holland D, et al. <article-title update="added">A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. Nat Genet. 2021;53(9):1276–82. 10.1038/s41588-021-00921-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, et al. 201Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing. Nat Genet. 2019;51(3):414–30. 10.1038/s41588-019-0358-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Bellenguez C, Kucukali F, Jansen IE, Kleineidam L, Moreno-Grau S, Amin N, et al. 202New insights into the genetic etiology of Alzheimer’s disease and related dementias. Nat Genet. 2022;54(4):412–36. 10.1038/s41588-022-01024-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Jansen IE, van der Lee SJ, Gomez-Fonseca D, de Rojas I, Dalmasso MC, Grenier-Boley B, et al. 203Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers. Acta Neuropathol. 2022;144(5):821–42. 10.1007/s00401-022-02454-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Shi Y, Holtzman DM. Interplay between innate immunity and Alzheimer disease: APOE and TREM2 in the spotlight. Nat Rev Immunol. 2018;18(12):759–72. 10.1038/s41577-018-0051-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Voskobiynyk Y, Roth JR, Cochran JN, Rush T, Carullo NV, Mesina JS, et al. Alzheimer’s disease risk gene BIN1 induces Tau-dependent network hyperexcitability. Elife. 2020. 10.7554/eLife.57354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Calafate S, Flavin W, Verstreken P, Moechars D. Loss of Bin1 promotes the propagation of tau pathology. Cell Rep. 2016;17(4):931–40. 10.1016/j.celrep.2016.09.063. [DOI] [PubMed] [Google Scholar]
  • 230.Jia L, Ke Y, Zhao S, Liu J, Luo X, Cao J, et al. Metagenomic analysis characterizes stage-specific gut microbiota in Alzheimer’s disease. Mol Psychiatry. 2025;30(9):3951–62. 10.1038/s41380-025-02973-7. [DOI] [PubMed] [Google Scholar]
  • 231.Grabrucker S, Marizzoni M, Silajdzic E, Lopizzo N, Mombelli E, Nicolas S, et al. Microbiota from Alzheimer’s patients induce deficits in cognition and hippocampal neurogenesis. Brain. 2023;146(12):4916–34. 10.1093/brain/awad303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Ferreiro AL, Choi J, Ryou J, Newcomer EP, Thompson R, Bollinger RM, et al. Gut microbiome composition may be an indicator of preclinical Alzheimer’s disease. Sci Transl Med. 2023;15(700):eabo2984. 10.1126/scitranslmed.abo2984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Xia Y, Xiao Y, Wang ZH, Liu X, Alam AM, Haran JP, et al. Bacteroides Fragilis in the gut microbiomes of Alzheimer’s disease activates microglia and triggers pathogenesis in neuronal C/EBPβ transgenic mice. Nat Commun. 2023;14(1):5471. 10.1038/s41467-023-41283-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Chen C, Liao J, Xia Y, Liu X, Jones R, Haran J, et al. Gut microbiota regulate Alzheimer’s disease pathologies and cognitive disorders via PUFA-associated neuroinflammation. Gut. 2022;71(11):2233–52. 10.1136/gutjnl-2021-326269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Zhang Y, Shen Y, Liufu N, Liu L, Li W, Shi Z, et al. Transmission of Alzheimer’s disease-associated microbiota dysbiosis and its impact on cognitive function: evidence from mice and patients. Mol Psychiatry. 2023;28(10):4421–37. 10.1038/s41380-023-02216-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Blackmer-Raynolds L, Lipson LD, Kozlov A, Yang A, Hill EJ, Sampson MM, et al. Indigenous gut microbes modulate neural cell state and neurodegenerative disease susceptibility. Cell Syst. 2026;17(2):101481. 10.1016/j.cels.2025.101481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Li L, Jia M, Yang C, Zhao Y, Hu J, Zhao Y, et al. Gut microbial-derived indole-3-propionate improves cognitive function in Alzheimer’s disease. Sci Adv. 2025;11(48):eadw8410. 10.1126/sciadv.adw8410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238.Zhou XP, Sun LB, Liu WH, Zhu WM, Li LC, Song XY, et al. The complex relationship between gut microbiota and Alzheimer’s disease: a systematic review. Ageing Res Rev. 2025;104:102637. 10.1016/j.arr.2024.102637. [DOI] [PubMed] [Google Scholar]
  • 239.Luo YX, Yang LL, Yao XQ. Gut microbiota-host lipid crosstalk in Alzheimer’s disease: implications for disease progression and therapeutics. Mol Neurodegener. 2024;19(1):35. 10.1186/s13024-024-00720-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240.Jin J, Xu Z, Zhang L, Zhang C, Zhao X, Mao Y, et al. Gut-derived beta-amyloid: Likely a centerpiece of the gut-brain axis contributing to Alzheimer’s pathogenesis. Gut Microbes. 2023;15(1):2167172. 10.1080/19490976.2023.2167172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241.Gonzales MM, Garbarino VR, Pollet E, Palavicini JP, Kellogg DL, Jr., Kraig E, et al. Biological aging processes underlying cognitive decline and neurodegenerative disease. J Clin Invest. 2022;132(10). 10.1172/JCI158453. [DOI] [PMC free article] [PubMed]
  • 242.Xiong X, James BT, Boix CA, Park YP, Galani K, Victor MB, et al. Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion. Cell. 2023;186(20):4422-37 e21. 10.1016/j.cell.2023.08.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Ruan T, Ling Y, Wu C, Niu Y, Liu G, Xu C, et al. Abnormal epigenetic modification of lysosome and lipid regulating genes in Alzheimer’s disease. J Alzheimers Dis. 2025;104(4):1185–200. 10.1177/13872877251322955. [DOI] [PubMed] [Google Scholar]
  • 244.Wei L, Yang X, Wang J, Wang Z, Wang Q, Ding Y, et al. H3K18 lactylation of senescent microglia potentiates brain aging and Alzheimer’s disease through the NFκB signaling pathway. J Neuroinflammation. 2023;20(1):208. 10.1186/s12974-023-02879-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Pan RY, He L, Zhang J, Liu X, Liao Y, Gao J, et al. Positive feedback regulation of microglial glucose metabolism by histone H4 lysine 12 lactylation in Alzheimer’s disease. Cell Metab. 2022;34(4):634-48 e6. 10.1016/j.cmet.2022.02.013. [DOI] [PubMed] [Google Scholar]
  • 246.Tian Q, Li J, Wu B, Pang Y, He W, Xiao Q, et al. APP lysine 612 lactylation ameliorates amyloid pathology and memory decline in Alzheimer's disease. J Clin Invest. 2025;135(1). 10.1172/JCI184656. [DOI] [PMC free article] [PubMed]
  • 247.Yin P, Cai Y, Cui T, Berg AJ, Wang T, Morency DT, et al. Glial sphingosine-mediated epigenetic regulation stabilizes synaptic function in Drosophila models of Alzheimer’s disease. J Neurosci. 2023;43(42):6954–71. 10.1523/JNEUROSCI.0515-23.2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Yang Y, Tapias V, Acosta D, Xu H, Chen H, Bhawal R, et al. Altered succinylation of mitochondrial proteins, APP and tau in Alzheimer’s disease. Nat Commun. 2022;13(1):159. 10.1038/s41467-021-27572-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Ma Y, Wang W, Liu S, Qiao X, Xing Y, Zhou Q, et al. Epigenetic Regulation of Neuroinflammation in Alzheimer's Disease. Cells. 2023;13(1). 10.3390/cells13010079. [DOI] [PMC free article] [PubMed]
  • 250.Kakoty V, K CS, Dubey SK, Yang CH, Marathe SA, Taliyan R. Epigenetic regulation and autophagy modulation debilitates insulin resistance associated Alzheimer’s disease condition in rats. Metab Brain Dis. 2022;37(4):927–44. 10.1007/s11011-021-00846-w. [DOI] [PubMed] [Google Scholar]
  • 251.Salta E, Lazarov O, Fitzsimons CP, Tanzi R, Lucassen PJ, Choi SH. Adult hippocampal neurogenesis in Alzheimer’s disease: a roadmap to clinical relevance. Cell Stem Cell. 2023;30(2):120–36. 10.1016/j.stem.2023.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Geigenmuller JN, Tari AR, Wisloff U, Walker TL. The relationship between adult hippocampal neurogenesis and cognitive impairment in Alzheimer’s disease. Alzheimers Dement. 2024;20(10):7369–83. 10.1002/alz.14179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Cao Y, Liu P, Bian H, Jin S, Liu J, Yu N, et al. Reduced neurogenesis in human hippocampus with Alzheimer’s disease. Brain Pathol. 2024;34(3):e13225. 10.1111/bpa.13225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Moreno-Jimenez EP, Flor-Garcia M, Terreros-Roncal J, Rabano A, Cafini F, Pallas-Bazarra N, et al. Adult hippocampal neurogenesis is abundant in neurologically healthy subjects and drops sharply in patients with Alzheimer’s disease. Nat Med. 2019;25(4):554–60. 10.1038/s41591-019-0375-9. [DOI] [PubMed] [Google Scholar]
  • 255.Terreros-Roncal J, Moreno-Jimenez EP, Flor-Garcia M, Rodriguez-Moreno CB, Trinchero MF, Cafini F, et al. Impact of neurodegenerative diseases on human adult hippocampal neurogenesis. Science. 2021;374(6571):1106–13. 10.1126/science.abl5163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Zhou Y, Su Y, Li S, Kennedy BC, Zhang DY, Bond AM, et al. Molecular landscapes of human hippocampal immature neurons across lifespan. Nature. 2022;607(7919):527–33. 10.1038/s41586-022-04912-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Li YD, Luo YJ, Xie L, Tart DS, Sheehy RN, Zhang L, et al. Activation of hypothalamic-enhanced adult-born neurons restores cognitive and affective function in Alzheimer’s disease. Cell Stem Cell. 2023;30(4):415-32 e6. 10.1016/j.stem.2023.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Mishra R, Phan T, Kumar P, Morrissey Z, Gupta M, Hollands C, et al. Augmenting neurogenesis rescues memory impairments in Alzheimer's disease by restoring the memory-storing neurons. J Exp Med. 2022;219(9). 10.1084/jem.20220391. [DOI] [PMC free article] [PubMed]
  • 259.Yang X, Jiang W, Li Y, Lee CG, Elias JA, Tang C, et al. CHI3L1/YKL-40 signaling inhibits neurogenesis in models of Alzheimer’s disease. Sci Adv. 2025;11(29):eadv1492. 10.1126/sciadv.adv1492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Zheng J. Hippocampal neurogenesis and pro-neurogenic therapies for Alzheimer’s disease. Anim Model Exp Med. 2022;5(1):3–14. 10.1002/ame2.12212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Zhang W, Smith N, Zhou Y, McGee CM, Bartoli M, Fu S, et al. Carbon dots as dual inhibitors of tau and amyloid-beta aggregation for the treatment of Alzheimer’s disease. Acta Biomater. 2024;183:341–55. 10.1016/j.actbio.2024.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Vandenberghe R, Rinne JO, Boada M, Katayama S, Scheltens P, Vellas B, et al. Bapineuzumab for mild to moderate Alzheimer’s disease in two global, randomized, phase 3 trials. Alzheimers Res Ther. 2016;8(1):18. 10.1186/s13195-016-0189-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Honig LS, Vellas B, Woodward M, Boada M, Bullock R, Borrie M, et al. Trial of solanezumab for mild dementia due to Alzheimer’s disease. N Engl J Med. 2018;378(4):321–30. 10.1056/NEJMoa1705971. [DOI] [PubMed] [Google Scholar]
  • 264.Salloway S, Farlow M, McDade E, Clifford DB, Wang G, Llibre-Guerra JJ, et al. A trial of gantenerumab or solanezumab in dominantly inherited Alzheimer’s disease. Nat Med. 2021;27(7):1187–96. 10.1038/s41591-021-01369-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 265.Budd Haeberlein S, Aisen PS, Barkhof F, Chalkias S, Chen T, Cohen S, et al. Two Randomized Phase 3 Studies of Aducanumab in Early Alzheimer’s Disease. J Prev Alzheimers Dis. 2022;9(2):197–210. 10.14283/jpad.2022.30. [DOI] [PubMed] [Google Scholar]
  • 266.van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, et al. Lecanemab in early Alzheimer’s disease. N Engl J Med. 2023;388(1):9–21. 10.1056/NEJMoa2212948. [DOI] [PubMed] [Google Scholar]
  • 267.Mintun MA, Lo AC, Duggan Evans C, Wessels AM, Ardayfio PA, Andersen SW, et al. Donanemab in early Alzheimer’s disease. N Engl J Med. 2021;384(18):1691–704. 10.1056/NEJMoa2100708. [DOI] [PubMed] [Google Scholar]
  • 268.Shcherbinin S, Evans CD, Lu M, Andersen SW, Pontecorvo MJ, Willis BA, et al. Association of amyloid reduction after donanemab treatment with tau pathology and clinical outcomes: the TRAILBLAZER-ALZ randomized clinical trial. JAMA Neurol. 2022;79(10):1015–24. 10.1001/jamaneurol.2022.2793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269.Sims JR, Zimmer JA, Evans CD, Lu M, Ardayfio P, Sparks J, et al. Donanemab in Early Symptomatic Alzheimer Disease: The TRAILBLAZER-ALZ 2 Randomized Clinical Trial. JAMA. 2023;330(6):512–27. 10.1001/jama.2023.13239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 270.Salloway S, Pain A, Lee E, Papka M, Ferguson MB, Wang H, et al. TRAILBLAZER-ALZ 4: a phase 3 trial comparing donanemab with aducanumab on amyloid plaque clearance in early, symptomatic Alzheimer’s disease. Alzheimers Dement. 2025;21(5):e70293. 10.1002/alz.70293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Wang H, Serap Monkul Nery E, Ardayfio P, Khanna R, Otero Svaldi D, Gueorguieva I, et al. Modified titration of donanemab reduces ARIA risk and maintains amyloid reduction. Alzheimers Dement. 2025;21(4):e70062. 10.1002/alz.70062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Bateman RJ, Li Y, McDade EM, Llibre-Guerra JJ, Clifford DB, Atri A, et al. Safety and efficacy of long-term gantenerumab treatment in dominantly inherited Alzheimer’s disease: an open-label extension of the phase 2/3 multicentre, randomised, double-blind, placebo-controlled platform DIAN-TU trial. Lancet Neurol. 2025;24(4):316–30. 10.1016/S1474-4422(25)00024-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 273.Wagemann O, Liu H, Wang G, Shi X, Bittner T, Scelsi MA, et al. Downstream Biomarker Effects of Gantenerumab or Solanezumab in Dominantly Inherited Alzheimer Disease: The DIAN-TU-001 Randomized Clinical Trial. JAMA Neurol. 2024;81(6):582–93. 10.1001/jamaneurol.2024.0991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 274.Bateman RJ, Smith J, Donohue MC, Delmar P, Abbas R, Salloway S, et al. Two phase 3 trials of gantenerumab in early Alzheimer’s disease. N Engl J Med. 2023;389(20):1862–76. 10.1056/NEJMoa2304430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 275.Bittner T, Tonietto M, Klein G, Belusov A, Illiano V, Voyle N, et al. Biomarker treatment effects in two phase 3 trials of gantenerumab. Alzheimers Dement. 2025;21(2):e14414. 10.1002/alz.14414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 276.Asada T, Thanasopoulou A, Delmar P, Wojtowicz J, Smith J, Yoshiyama Y, et al. Japanese participant data from three gantenerumab trials in early Alzheimer’s disease. Alzheimers Dement. 2025;21(4):e70192. 10.1002/alz.70192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Ostrowitzki S, Bittner T, Sink KM, Mackey H, Rabe C, Honig LS, et al. Evaluating the safety and efficacy of crenezumab vs placebo in adults with early Alzheimer disease: two phase 3 randomized placebo-controlled trials. JAMA Neurol. 2022;79(11):1113–21. 10.1001/jamaneurol.2022.2909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278.Hey JA, Abushakra S, Blennow K, Reiman EM, Hort J, Prins ND, et al. Effects of oral ALZ-801/valiltramiprosate on plasma biomarkers, brain hippocampal volume, and cognition: results of 2-year single-arm, open-label, phase 2 trial in APOE4 carriers with early Alzheimer’s disease. Drugs. 2024;84(7):811–23. 10.1007/s40265-024-02067-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Cline EN, Antwi-Berko D, Sundell K, Johnson E, Hyland M, Zhang H, et al. Biofluid biomarker changes following treatment with sabirnetug (ACU193) in INTERCEPT-AD, a phase 1 trial in early Alzheimer’s disease. J Prev Alzheimers Dis. 2025;12(4):100082. 10.1016/j.tjpad.2025.100082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Sperling RA, Donohue MC, Raman R, Rafii MS, Johnson K, Masters CL, et al. Trial of solanezumab in preclinical Alzheimer’s disease. N Engl J Med. 2023;389(12):1096–107. 10.1056/NEJMoa2305032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Cantillon M, Andreasen N, Prins N. Phase 1/2a Intravenous and Subcutaneous Oligomer-Specific Antibody KHK6640 in Mild to Moderate Alzheimer’s Disease. J Prev Alzheimers Dis. 2024;11(1):65–70. 10.14283/jpad.2024.2. [DOI] [PubMed] [Google Scholar]
  • 282.Galasko D, Farlow MR, Lucey BP, Honig LS, Elbert D, Bateman R, et al. A multicenter, randomized, double-blind, placebo-controlled ascending dose study to evaluate the safety, tolerability, pharmacokinetics (PK) and pharmacodynamic (PD) effects of Posiphen in subjects with early Alzheimer’s disease. Alzheimers Res Ther. 2024;16(1):151. 10.1186/s13195-024-01490-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Rafii MS, Aisen PS. Amyloid-lowering immunotherapies for Alzheimer disease: current status and future directions. Nat Rev Neurol. 2025;21(9):490–8. 10.1038/s41582-025-01123-5. [DOI] [PubMed] [Google Scholar]
  • 284.Salloway S, Sperling R, Fox NC, Blennow K, Klunk W, Raskind M, et al. Two phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer’s disease. N Engl J Med. 2014;370(4):322–33. 10.1056/NEJMoa1304839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Doody RS, Thomas RG, Farlow M, Iwatsubo T, Vellas B, Joffe S, et al. Phase 3 trials of solanezumab for mild-to-moderate Alzheimer’s disease. N Engl J Med. 2014;370(4):311–21. 10.1056/NEJMoa1312889. [DOI] [PubMed] [Google Scholar]
  • 286.Cummings JL, Cohen S, van Dyck CH, Brody M, Curtis C, Cho W, et al. ABBY: A phase 2 randomized trial of crenezumab in mild to moderate Alzheimer disease. Neurology. 2018;90(21):e1889–97. 10.1212/WNL.0000000000005550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287.Kim BH, Kim S, Nam Y, Park YH, Shin SM, Moon M. Second-generation anti-amyloid monoclonal antibodies for Alzheimer’s disease: current landscape and future perspectives. Transl Neurodegener. 2025;14(1):6. 10.1186/s40035-025-00465-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Welikovitch LA, Mate de Gerando A, Khasnavis A, Bhavsar H, Meltzer JC, Buee L, et al. Tau, synapse loss and gliosis progress in an Alzheimer’s mouse model after amyloid-β immunotherapy. Brain. 2025;148(4):1316–28. 10.1093/brain/awae345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Sevigny J, Chiao P, Bussiere T, Weinreb PH, Williams L, Maier M, et al. The antibody aducanumab reduces Abeta plaques in Alzheimer’s disease. Nature. 2016;537(7618):50–6. 10.1038/nature19323. [DOI] [PubMed] [Google Scholar]
  • 290.Chen T, O’Gorman J, Castrillo-Viguera C, Rajagovindan R, Curiale GG, Tian Y, et al. Results from the long-term extension of PRIME: A randomized Phase 1b trial of aducanumab. Alzheimers Dement. 2024;20(5):3406–15. 10.1002/alz.13755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291.Liu KY, Howard R. Can we learn lessons from the FDA’s approval of aducanumab? Nat Rev Neurol. 2021;17(11):715–22. 10.1038/s41582-021-00557-x. [DOI] [PubMed] [Google Scholar]
  • 292.Larkin HD. Lecanemab Gains FDA Approval for Early Alzheimer Disease. JAMA. 2023;329(5):363. 10.1001/jama.2022.24490. [DOI] [PubMed] [Google Scholar]
  • 293.Harris E. Alzheimer Drug Lecanemab Gains Traditional FDA Approval. JAMA. 2023;330(6):495. 10.1001/jama.2023.12548. [DOI] [PubMed] [Google Scholar]
  • 294.Chen S, Ou R, Wei Q, Li C, Song W, Zhao B, et al. Lecanemab treatment for Alzheimer’s Disease of varying severities and associated plasma biomarkers monitoring: A multi-center real-world study in China. Alzheimers Dement. 2025;21(10):e70750. 10.1002/alz.70750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295.McCullough A, Chen CD, Gordon BA, Joseph-Mathurin N, Jack CR Jr., Koeppe R, et al. Regional effects of gantenerumab on neuroimaging biomarkers in the DIAN-TU-001 trial. Alzheimers Dement. 2025;21(7):e70347. 10.1002/alz.70347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296.Tonegawa-Kuji R, Hou Y, Hu B, Lorincz-Comi N, Pieper AA, Tousi B, et al. Efficacy and safety of passive immunotherapies targeting amyloid beta in Alzheimer’s disease: a systematic review and meta-analysis. PLoS Med. 2025;22(3):e1004568. 10.1371/journal.pmed.1004568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Liao F, Calvo-Rodriguez M, Chhaya M, Sefrin JP, Charych EI, Mezler M, et al. Anti-pyroglutamate-3 Abeta immunotherapy engages microglia and inhibits amyloid accumulation in transgenic mouse models of Abeta amyloidosis. Acta Neuropathol. 2025;149(1):55. 10.1007/s00401-025-02892-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Cummings JL, Atri A, Feldman HH, Hansson O, Sano M, Knop FK, et al. Evoke and evoke+: design of two large-scale, double-blind, placebo-controlled, phase 3 studies evaluating efficacy, safety, and tolerability of semaglutide in early-stage symptomatic Alzheimer’s disease. Alzheimers Res Ther. 2025;17(1):14. 10.1186/s13195-024-01666-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299.Edwards AL, Collins JA, Junge C, Kordasiewicz H, Mignon L, Wu S, et al. Exploratory Tau biomarker results from a multiple ascending-dose study of BIIB080 in Alzheimer disease: a randomized clinical trial. JAMA Neurol. 2023;80(12):1344–52. 10.1001/jamaneurol.2023.3861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 300.Teng E, Manser PT, Pickthorn K, Brunstein F, Blendstrup M, Sanabria Bohorquez S, et al. Safety and Efficacy of Semorinemab in Individuals With Prodromal to Mild Alzheimer Disease: A Randomized Clinical Trial. JAMA Neurol. 2022;79(8):758–67. 10.1001/jamaneurol.2022.1375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301.Monteiro C, Toth B, Brunstein F, Bobbala A, Datta S, Ceniceros R, et al. Randomized phase II study of the safety and efficacy of semorinemab in participants with mild-to-moderate Alzheimer disease: lauriet. Neurology. 2023;101(14):e1391-e401. 10.1212/WNL.0000000000207663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 302.Sol O, Mermoud J, Hallikainen M, Kurl S, Rinne J, Dautzenberg P, et al. Safety and immunogenicity of two Tau-targeting active immunotherapies, ACI-35.030 and JACI-35.054, in participants with early Alzheimer’s disease: a phase 1b/2a, multicentre, double-blind, randomised, placebo-controlled study. EBioMedicine. 2025;120:105940. 10.1016/j.ebiom.2025.105940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 303.Rawal S, Wildsmith KR, Aluri J, Yagi T, Chang MK, Niu H, et al. An anti-tau therapeutic antibody etalanetug (E2814): a phase 1, first-in-human (FIH) study of single and multiple ascending doses in healthy subjects. Alzheimer Dis Assoc Disord. 2025;39(3):151–7. 10.1097/WAD.0000000000000680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 304.Basheer N, Smolek T, Hassan I, Liu F, Iqbal K, Zilka N, et al. Does modulation of tau hyperphosphorylation represent a reasonable therapeutic strategy for Alzheimer’s disease? From preclinical studies to the clinical trials. Mol Psychiatry. 2023;28(6):2197–214. 10.1038/s41380-023-02113-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 305.Gambhir S, Singh M. Advancing Alzheimer’s therapeutics via in silico strategies: tideglusib based multi-target analogues. Comput Biol Chem. 2025;120(2):108685. 10.1016/j.compbiolchem.2025.108685. [DOI] [PubMed] [Google Scholar]
  • 306.Amaral B, Capacci A, Anderson T, Tezer C, Bajrami B, Lulla M, et al. Elucidation of the GSK3alpha Structure Informs the Design of Novel. ACS Chem Neurosci. 2023;14(6):1080–94. 10.1021/acschemneuro.2c00476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 307.Gildengers AG, Ibrahim TS, Zeng X, Aizenstein HJ, Alkhateeb SK, Anderson SJ, et al. The LATTICE study: design of a pilot feasibility randomized controlled trial of lithium to delay cognitive decline in mild cognitive impairment. Alzheimers Dement (N Y). 2025;11(2):e70112. 10.1002/trc2.70112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 308.Santos RX, Lee SH, Lofthouse R, Melis V, Robinson L, Leith M, et al. Hydromethylthionine sustains truncated tau-dependent inflammation-lowering effects in mouse brain. FEBS J. 2025;292(10):2602–23. 10.1111/febs.70021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 309.Cranston AL, Kraev I, Stewart MG, Horsley D, Santos RX, Robinson L, et al. Rescue of synaptosomal glutamate release defects in tau transgenic mice by the tau aggregation inhibitor hydromethylthionine. Cell Signal. 2024;121:111269. 10.1016/j.cellsig.2024.111269. [DOI] [PubMed] [Google Scholar]
  • 310.Maphis NM, Hulse J, Peabody J, Dadras S, Whelpley MJ, Kandath M, et al. Targeting of phosphorylated tau at threonine 181 by a Qbeta virus-like particle vaccine is safe, highly immunogenic, and reduces disease severity in mice and rhesus macaques. Alzheimers Dement. 2025;21(3):e70101. 10.1002/alz.70101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 311.Florian H, Wang D, Arnold SE, Boada M, Guo Q, Jin Z, et al. Tilavonemab in early Alzheimer’s disease: results from a phase 2, randomized, double-blind study. Brain. 2023;146(6):2275–84. 10.1093/brain/awad024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 312.Sarazin M, Lagarde J, El Haddad I, de Souza LC, Bellier B, Potier MC, et al. The path to next-generation disease-modifying immunomodulatory combination therapies in Alzheimer’s disease. Nat Aging. 2024;4(6):761–70. 10.1038/s43587-024-00630-2. [DOI] [PubMed] [Google Scholar]
  • 313.Shanks HRC, Chen K, Reiman EM, Blennow K, Cummings JL, Massa SM, et al. p75 neurotrophin receptor modulation in mild to moderate Alzheimer disease: a randomized, placebo-controlled phase 2a trial. Nat Med. 2024;30(6):1761–70. 10.1038/s41591-024-02977-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 314.Budda B, Mitra A, Park L, Long H, Kurnellas M, Bien-Ly N, et al. Development of AL101 (GSK4527226), a progranulin-elevating monoclonal antibody, as a potential treatment for Alzheimer’s disease. Alzheimers Res Ther. 2025;17(1):174. 10.1186/s13195-025-01817-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 315.Izzo NJ, Yuede CM, LaBarbera KM, Limegrover CS, Rehak C, Yurko R, et al. Preclinical and clinical biomarker studies of CT1812: a novel approach to Alzheimer’s disease modification. Alzheimers Dement. 2021;17(8):1365–82. 10.1002/alz.12302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 316.Nuytten M, Voets M, Debroux E, Princen K, Pringels L, Fivaz M, et al. Randomized phase 2a trial assessing a novel septin molecular glue in Alzheimer’s disease. Alzheimers Dement. 2025;21(9):e70537. 10.1002/alz.70537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 317.Erichsen JM, Register TC, Sutphen C, Ma D, Gaussoin SA, Rudolph M, et al. A phase 2A/B randomized trial of metabolic modulators intranasal insulin and empagliflozin for MCI and early AD. Alzheimers Dement. 2025;21(10):e70704. 10.1002/alz.70704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 318.Dubois B, Lopez-Arrieta J, Lipschitz S, Doskas T, Spiru L, Moroz S, et al. Masitinib for mild-to-moderate Alzheimer’s disease: results from a randomized, placebo-controlled, phase 3, clinical trial. Alzheimers Res Ther. 2023;15(1):39. 10.1186/s13195-023-01169-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 319.Long H, Simmons A, Mayorga A, Burgess B, Nguyen T, Budda B, et al. Preclinical and first-in-human evaluation of AL002, a novel TREM2 agonistic antibody for Alzheimer’s disease. Alzheimers Res Ther. 2024;16(1):235. 10.1186/s13195-024-01599-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 320.Ayton S, Barton D, Brew B, Brodtmann A, Clarnette R, Desmond P, et al. Deferiprone in Alzheimer disease: a randomized clinical trial. JAMA Neurol. 2025;82(1):11–8. 10.1001/jamaneurol.2024.3733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 321.Faridar A, Gamez N, Li D, Wang Y, Boradia R, Thome AD, et al. Low-dose interleukin-2 in patients with mild to moderate Alzheimer’s disease: a randomized clinical trial. Alzheimers Res Ther. 2025;17(1):146. 10.1186/s13195-025-01791-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 322.Gonzales MM, Garbarino VR, Marques Zilli E, Petersen RC, Kirkland JL, Tchkonia T, et al. Senolytic Therapy to Modulate the Progression of Alzheimer’s Disease (SToMP-AD): A Pilot Clinical Trial. The Journal of Prevention of Alzheimer’s Disease. 2022;9(1):22–9. 10.14283/jpad.2021.62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 323.Garbarino VR, Palavicini JP, Melendez J, Barthelemy NR, He Y, Kautz TF, et al. Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer’s disease. Neurotherapeutics. 2025;22(4):e00591. 10.1016/j.neurot.2025.e00591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 324.Gratuze M, Leyns CEG, Holtzman DM. New insights into the role of TREM2 in Alzheimer’s disease. Mol Neurodegener. 2018;13(1):66. 10.1186/s13024-018-0298-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 325.Ma YN, Hu X, Karako K, Song P, Tang W, Xia Y. The potential and challenges of TREM2-targeted therapy in Alzheimer’s disease: insights from the INVOKE-2 study. Front Aging Neurosci. 2025;17:1576020. 10.3389/fnagi.2025.1576020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 326.Wang Y, Li J, Zhang D, Feng Y, Zhou M, Zhou C, et al. Modulating amyloid pathology-neural hyperexcitability crosstalk for Alzheimer’s disease therapy. ACS Nano. 2025;19(43):37617–32. 10.1021/acsnano.5c08317. [DOI] [PubMed] [Google Scholar]
  • 327.Feigin A, Evans EE, Fisher TL, Leonard JE, Smith ES, Reader A, et al. Pepinemab antibody blockade of SEMA4D in early Huntington’s disease: a randomized, placebo-controlled, phase 2 trial. Nat Med. 2022;28(10):2183–93. 10.1038/s41591-022-01919-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 328.Holscher C. Incretin hormones GLP-1 and GIP normalize energy utilization and reduce inflammation in the brain in Alzheimer’s disease and Parkinson’s disease: from repurposed GLP-1 receptor agonists to novel dual GLP-1/GIP receptor agonists as potential disease-modifying therapies. CNS Drugs. 2025;39(12):1201–20. 10.1007/s40263-025-01226-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 329.Kellar D, Register T, Lockhart SN, Aisen P, Raman R, Rissman RA, et al. Intranasal insulin modulates cerebrospinal fluid markers of neuroinflammation in mild cognitive impairment and Alzheimer’s disease: a randomized trial. Sci Rep. 2022;12(1):1346. 10.1038/s41598-022-05165-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 330.Kellar D, Lockhart SN, Aisen P, Raman R, Rissman RA, Brewer J, et al. Intranasal Insulin Reduces White Matter Hyperintensity Progression in Association with Improvements in Cognition and CSF Biomarker Profiles in Mild Cognitive Impairment and Alzheimer’s Disease. J Prev Alzheimers Dis. 2021;8(3):240–8. 10.14283/jpad.2021.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 331.Zhang P, Mao C, Sun A, Yang Y, Hou Y, Fu Z, et al. Real-world observations of GLP-1 receptor agonists and SGLT-2 inhibitors as potential treatments for Alzheimer’s disease. Alzheimers Dement. 2025;21(9):e70639. 10.1002/alz.70639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 332.Zhang Z, Deng W, Hu L, Hu Y, Zhang S, Xiong Y, et al. Zinc homeostasis imbalance: Potential therapeutic value in neurodegenerative diseases. Neural Regen Res. 2025. 10.4103/NRR.NRR-D-25-00632. [DOI] [PubMed]
  • 333.Scholefield M, Church SJ, Xu J, Cooper GJS. Metallomic analysis of brain tissues distinguishes between cases of dementia with Lewy bodies, Alzheimer’s disease, and Parkinson’s disease dementia. Front Neurosci. 2024;18:1412356. 10.3389/fnins.2024.1412356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 334.Squitti R, Benussi A, Fostinelli S, Geviti A, Rivolta J, Ventriglia M, et al. Zinc Therapy in Mild Cognitive Impairment: Cognitive Stabilization in Pharmacodynamically Responsive Patients in the ZINCAiD Trial. Biomolecules. 2025;15(9). 10.3390/biom15091268. [DOI] [PMC free article] [PubMed]
  • 335.Shukla S, Kadam AA, Goyani S, Jaiswal N, Samantaray K, Kashyap S, et al. Cell-type-specific dysregulation of mitochondrial calcium signaling in Alzheimer’s disease. Cell Commun Signal. 2025;23(1):472. 10.1186/s12964-025-02460-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 336.Aron L, Ngian ZK, Qiu C, Choi J, Liang M, Drake DM, et al. Lithium deficiency and the onset of Alzheimer’s disease. Nature. 2025;645(8081):712–21. 10.1038/s41586-025-09335-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 337.Liao J, Mou H, Luo S, Shen L, Jiao B. Microbiota and Alzheimer’s disease: mechanistic insights from a multi-organ perspective. Transl Neurodegener. 2026;15(1):3. 10.1186/s40035-026-00541-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 338.Zha X, Liu X, Wei M, Huang H, Cao J, Liu S, et al. Microbiota-derived lysophosphatidylcholine alleviates Alzheimer’s disease pathology via suppressing ferroptosis. Cell Metab. 2025;37(1):169-86 e9. 10.1016/j.cmet.2024.10.006. [DOI] [PubMed] [Google Scholar]
  • 339.Wang Z, Wang C, Yuan B, Liu L, Zhang H, Zhu M, et al. Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer’s disease pathologic process via GPR41 and GPR43. Microbiome. 2025;13(1):16. 10.1186/s40168-024-02001-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 340.Wang B, Pan M, Yang L, Xu J, Ye C, Li Y, et al. <article-title update="added">Akkermansia muciniphila reduces neuroinflammation and Aβ deposition via tryptophan metabolism in the APP/PS1 mouse model of Alzheimer’s disease. Alzheimers Res Ther. 2026;18(1):41. 10.1186/s13195-025-01880-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 341.Peng L, Zhang Z, Hu Y, Chen H, Tian Y, Ling H. Regulating the crosstalk between Bifidobacterium and the brain: a potential therapeutic strategy for Alzheimer’s disease. Front Immunol. 2026;17:1706811. 10.3389/fimmu.2026.1706811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 342.Zhao Y, Jia M, Ding C, Bao B, Li H, Ma J, et al. Time-restricted feeding mitigates Alzheimer’s disease-associated cognitive impairments via a B. pseudolongum-propionic acid-FFAR3 axis. Imeta. 2025;4(2):e70006. 10.1002/imt2.70006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 343.Levak N, Lehtisalo J, Thunborg C, Westman E, Andersen P, Andrieu S, et al. Nutrition guidance within a multimodal intervention improves diet quality in prodromal Alzheimer's disease: Multimodal Preventive Trial for Alzheimer's Disease (MIND-AD(mini)). Alzheimers Res Ther. 2024;16(1):147. 10.1186/s13195-024-01522-8. [DOI] [PMC free article] [PubMed]
  • 344.Hoscheidt S, Sanderlin AH, Baker LD, Jung Y, Lockhart S, Kellar D, et al. Mediterranean and Western diet effects on Alzheimer's disease biomarkers, cerebral perfusion, and cognition in mid-life: A randomized trial. Alzheimers Dement. 2022;18(3):457-68. 10.1002/alz.12421. [DOI] [PMC free article] [PubMed]
  • 345.Fekete M, Varga P, Ungvari Z, Fekete JT, Buda A, Szappanos A, et al. The role of the Mediterranean diet in reducing the risk of cognitive impairement, dementia, and Alzheimer's disease: a meta-analysis. Geroscience. 2025;47(3):3111-30. 10.1007/s11357-024-01488-3. [DOI] [PMC free article] [PubMed]
  • 346.Dilmore AH, Martino C, Neth BJ, West KA, Zemlin J, Rahman G, et al. Effects of a ketogenic and low-fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer's disease. Alzheimers Dement. 2023;19(11):4805-16. 10.1002/alz.13007. [DOI] [PMC free article] [PubMed]
  • 347.Pan RY, Zhang J, Wang J, Wang Y, Li Z, Liao Y, et al. Intermittent fasting protects against Alzheimer’s disease in mice by altering metabolism through remodeling of the gut microbiota. Nat Aging. 2022;2(11):1024–39. 10.1038/s43587-022-00311-y. [DOI] [PubMed] [Google Scholar]
  • 348.Park G, Kadyan S, Hochuli N, Pollak J, Wang B, Salazar G, et al. A modified mediterranean-style diet enhances brain function via specific gut-microbiome-brain mechanisms. Gut Microbes. 2024;16(1):2323752. 10.1080/19490976.2024.2323752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 349.Norevik CS, Huuha AM, Rosbjorgen RN, Hildegard Bergersen L, Jacobsen K, Miguel-Dos-Santos R, et al. Exercised blood plasma promotes hippocampal neurogenesis in the Alzheimer’s disease rat brain. J Sport Health Sci. 2024;13(2):245–55. 10.1016/j.jshs.2023.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 350.Feng S, Wu C, Zou P, Deng Q, Chen Z, Li M, et al. High-intensity interval training ameliorates Alzheimer’s disease-like pathology by regulating astrocyte phenotype-associated AQP4 polarization. Theranostics. 2023;13(10):3434–50. 10.7150/thno.81951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 351.Chen Y, Chen X, Luo Z, Kang X, Ge Y, Wan R, et al. Exercise-induced reduction of IGF1R sumoylation attenuates neuroinflammation in APP/PS1 transgenic mice. J Adv Res. 2025;69:279–97. 10.1016/j.jare.2024.03.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 352.Chen Y, Cai J, She Y, He X, Feng H, Li X, et al. Long-term exercise enhances meningeal lymphatic vessel plasticity and drainage in a mouse model of Alzheimer’s disease. Transl Neurodegener. 2025;14(1):37. 10.1186/s40035-025-00497-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 353.Mondal P, Bai P, Gomm A, Bakiasi G, Lin CJ, Wang Y, et al. Structure-based discovery of a small molecule inhibitor of histone deacetylase 6 (HDAC6) that significantly reduces Alzheimer’s disease neuropathology. Adv Sci (Weinh). 2024;11(1):e2304545. 10.1002/advs.202304545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 354.Liu C, Zhao Y, Dao JJ, Zhang W, Liu J, Ma YK, et al. Targeted ErbB4 receptor activation ameliorates neuronal deficits via DOCK3 signaling in a transgenic mouse AD model. Neurotherapeutics. 2025;22(6):e00739. 10.1016/j.neurot.2025.e00739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 355.Lee Y, Ju YJ, Gee MS, Jeon SH, Kim N, Koo T, et al. Survivin enhances hippocampal neurogenesis and cognitive function in Alzheimer’s disease mouse model. CNS Neurosci Ther. 2024;30(4):e14509. 10.1111/cns.14509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 356.Zhao P, Cao Z, Rozpedek-Kaminska W. Receptor tyrosine kinases in Alzheimer’s disease: mechanistic insights and therapeutic implications. Neurochem Int. 2026;193:106117. 10.1016/j.neuint.2026.106117. [DOI] [PubMed] [Google Scholar]
  • 357.Zhao Y, Zhao W, Chai X, Sun P, Huang J, Guo X, et al. Reshaping the gut microbiota: a novel oppinion of Eucommiae cortex polysaccharide alleviate learning and memory impairments in Alzheimer’s disease. J Adv Res. 2026;80:219–37. 10.1016/j.jare.2025.04.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 358.He C, Jiang J, Liu J, Zhou L, Ge Y, Yang Z. Pseudostellaria heterophylla polysaccharide mitigates Alzheimer’s-like pathology via regulating the microbiota-gut-brain axis in 5 x FAD mice. Int J Biol Macromol. 2024;270:132372. 10.1016/j.ijbiomac.2024.132372. [DOI] [PubMed] [Google Scholar]
  • 359.Chen JD, Chen SY, Liao CC, Fang CY, Yen GC. Enhancing cognitive memory function using Phyllanthus emblica polysaccharides via modulating autophagy and reshaping the gut microbiota. Food Funct. 2025;16(20):8140–59. 10.1039/d5fo03048j. [DOI] [PubMed] [Google Scholar]
  • 360.Li Y, Wang H, Zhang D, Wang S, Li Z, Li J, et al. Gut microbiota-dependent 24-hydroxycholesterol metabolism contributes to capsaicin-induced amelioration of Alzheimer's disease-like pathology in mice. Nat Commun. 2026. 10.1038/s41467-026-68937-9. [DOI] [PMC free article] [PubMed]
  • 361.Yang S, Fan L, Zhang R, Song C, Shi J, Wang J, et al. Smilagenin induces expression and epigenetic remodeling of BDNF in alzheimer’s disease. Phytomedicine. 2023;118:154956. 10.1016/j.phymed.2023.154956. [DOI] [PubMed] [Google Scholar]
  • 362.Lou S, Gong D, Yang M, Qiu Q, Luo J, Chen T. Curcumin Improves Neurogenesis in Alzheimer's Disease Mice via the Upregulation of Wnt/beta-Catenin and BDNF. Int J Mol Sci. 2024;25(10). 10.3390/ijms25105123. [DOI] [PMC free article] [PubMed]
  • 363.Sun Y, Zhang H, Liu R, Wang Y, Zhang X, Huang R, et al. Zexieyin formula alleviates Alzheimer’s disease via post-synaptic CaMKII modulating AMPA receptor: involved in promoting neurogenesis to strengthen synaptic plasticity in mice hippocampus. Phytomedicine. 2024;131:155802. 10.1016/j.phymed.2024.155802. [DOI] [PubMed] [Google Scholar]
  • 364.She L, Tang H, Zeng Y, Li L, Xiong L, Sun J, et al. Ginsenoside RK3 promotes neurogenesis in Alzheimer’s disease through activation of the CREB/BDNF pathway. J Ethnopharmacol. 2024;321:117462. 10.1016/j.jep.2023.117462. [DOI] [PubMed] [Google Scholar]
  • 365.Zhang Q, Yang X, Liu J, Song J, Zhang S, Chen L, et al. 20S-protopanaxatriol improves cognitive function of Alzheimer’s disease by promoting endogenous neurogenesis. Food Funct. 2023;14(9):4191–203. 10.1039/d2fo03191d. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Not applicable.


Articles from Molecular Biomedicine are provided here courtesy of Springer

RESOURCES