Open Access | Review
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Neuroinflammation in diabetes: from pathophysiological mechanisms to therapeutic opportunities
* Corresponding author: Silvia Josefina López-Pérez
Mailing address: Instituto de Neurobiología, Departamento de
Biología Celular y Molecular, Centro Universitario de Ciencias
Biológicas y Agropecuarias, Universidad de Guadalajara. Camino
Ing. Ramón Padilla Sánchez #2100, Predio Las Agujas, Zapopan,
Jalisco, CP 45200, México.
Email: silvia.lperez@academicos.udg.mx
Received: 12 July 2026 / Received: 12 July 2026 / Accepted: 31 July 2026 / Published: 30 September 2026
DOI: 10.31491/APT.2026.09.229
Abstract
Diabetes is increasingly recognized as a systemic metabolic disease with significant consequences beyond glycemic dysregulation, including a growing impact on brain structure and function. Among the mechanisms involved in this process, neuroinflammation has emerged as a central biological axis that links chronic metabolic stress with neuronal injury, cognitive decline, and broader nervous system dysfunction. Rather than representing an isolated consequence of hyperglycemia, diabetes-associated neuroinflammation reflects the convergence of blood–brain barrier disruption, glial activation, innate immune signaling, oxidative stress, mitochondrial dysfunction, and inflammasome activation. These interconnected processes reinforce each other and contribute to the transition from adaptive neuroimmune responses to chronic pathogenic inflammation.
In this review, we synthesize current evidence on cellular and molecular mechanisms that connect diabetes with neuroinflammatory signaling, highlighting key pathophysiological processes and their therapeutic implications. We also analyze current and emerging therapeutic approaches, including conventional pharmacological agents and natural compounds with anti-inflammatory and neuroprotective potential. Taken together, the available evidence supports the view that diabetes-associated neuroinflammation is a multidimensional and therapeutically relevant process that should be studied further to provide opportunities in identifying new biomarkers related to the mechanistic stratification of the process, and designing new neuroprotective interventions, which could also contribute significantly to healthy aging.
Keywords
Diabetes mellitus, neuroinflammation, blood–brain barrier, microglia, oxidative stress
Introduction
Neuroinflammation is broadly defined as a highly regulated immunobiological response within the central and peripheral nervous systems, triggered by infection, injury, metabolic dysregulation, or other disturbances in tissue homeostasis and mediated by complex interactions among glial cells, resident immune components, and soluble inflammatory factors [1, 2]. While transient neuroinflammationmatory signaling is considered an adaptive and protective response, persistent or dysregulated responses are increasingly recognized as important contributors to neuronal dysfunction, structural damage, and the pathophysiology of various neurological and metabolic disorders.
Astrocytes and microglia are key cellular mediators of neuroinflammatory responses [3]. Microglia, the resident immune cells of the nervous system, constitute the first line of surveillance and respond rapidly to tissue damage, pathogens, and metabolic disturbances through changes in morphology, proliferation, phagocytosis, and cytokine release [4]. Astrocytes, in turn, actively modulate the inflammatory environment by responding to microglial signals, releasing cytokines and chemokines, regulating glutamate uptake, and contributing to the blood–brain barrier (BBB) maintenance [5]. Under chronic or dysregulated conditions, reactive astrocytes and activated microglia can establish a self-perpetuating inflammatory cycle that exacerbates oxidative stress, synaptic dysfunction, and neuronal damage [6, 7].
These neuroinflammatory mechanisms are particularly relevant in the context of diabetes, a metabolic disorder characterized not only by chronic hyperglycemia but also by systemic low-grade inflammation, oxidative stress, and vascular dysfunction, whose incidence increases with age [8, 9]. Increasing evidence indicates that diabetic conditions can promote microglial activation and astrocytic reactivity through multiple interconnected pathways, including advanced glycation end products (AGEs), mitochondrial dysfunction, insulin resistance, and impaired BBB integrity [7, 10]. As a result, diabetes can trigger and sustain neuroinflammatory responses, thereby contributing to neuronal damage and increasing susceptibility to cognitive decline and other nervous system complications. Collectively, these observations underscore the intricate and bidirectional relationship between metabolic dysregulation and neuroinflammatory signaling in diabetes. Rather than representing a mere consequence of chronic hyperglycemia, diabetes-related neural injury appears to arise from the interaction of interdependent inflammatory, oxidative, vascular, and glial mechanisms that progressively disrupt nervous system homeostasis, and which can trigger severe cognitive impairment when there is a prolonged diabetic state in elderly subjects [11, 12]. Therefore, elucidating the molecular and cellular basis of this interaction is essential for a more comprehensive understanding of the processes underlying neurological complications in diabetes and brain aging.
Crucially, diabetes-associated neuroinflammation does not merely represent a localized metabolic complication but rather functions as a potent driver of accelerated brain aging [8, 9]. Chronic exposure to hyperglycemia and AGEs triggers a state of premature senescence in microglia and astrocytes, closely mimicking the low-grade systemic inflammatory state known as ‘inflammaging’ [10, 13]. This sustained glial activation shifts cells toward a senescence-associated secretory phenotype, characterized by the chronic release of pro-inflammatory cytokines and reactive oxygen species (ROS) [7, 14, 15]. Consequently, the pathological convergence of diabetes and neuroinflammation exacerbates synaptic pruning deficits and neuronal apoptosis, effectively lowering the threshold for age-related cognitive decline and neurodegenerative diseases [11, 12, 16].
In this context, the present review provides a conceptually integrative synthesis of the biological mechanisms linking diabetes and neuroinflammation, with particular emphasis on BBB dysfunction, glial activation, downstream inflammatory signaling, and emerging therapeutic strategies relevant to diabetes-associated neural damage. It is based primarily on evidence generated over the past six years, thereby capturing the most recent advances in the field. More importantly, unlike previous reviews that have largely examined isolated inflammatory pathways or single mechanistic domains, this review brings together neurovascular dysfunction, glial crosstalk, innate immune signaling, inflammasome activation, oxidative and mitochondrial stress, and therapeutic perspectives into a single unified framework. By articulating these interdependent processes within the same pathophysiological landscape,this review offers a broader and more mechanistically cohesive perspective on diabetes-associated neuroinflammation than is currently available in the literature.
Diabetes as a systemic condition that predisposes to neuroinflammation
Diabetes should be understood not only as a disorder of glucose homeostasis, but also as a multisystemic condition capable of reshaping immune, vascular, and metabolic function throughout the body. A defining characteristic of diabetes, particularly type 2 diabetes, is chronic low-grade systemic inflammation [13], characterized by persistent increases in inflammatory mediators derived from adipose tissue, immune cells, the vasculature, and metabolically stressed organs. This inflammatory-metabolic environment is further reinforced by oxidative imbalance, altered lipid handling, endothelial dysfunction, AGEs, free fatty acids, and danger-associated molecular patterns (DAMPs), all of which can act on distant tissues, including the central nervous system (CNS), and can worsen with aging [10, 17]. From this perspective, neuroinflammation may be viewed not merely as a local brain process, but also as a downstream consequence of a broader systemic pathological state that progressively compromises neural homeostasis.
Several mechanisms underline this systemic-neural transition in diabetes. Persistent peripheral inflammation, metabolic dysregulation, and oxidative stress can disrupt the functional interface between the systemic circulation and CNS by progressively compromising the neurovascular unit and BBB [18]. In this context, circulating cytokines, chemokines, AGEs, and lipid-derived inflammatory mediators do not necessarily need to enter the brain directly to influence neuroimmune responses. Instead, they may act on, or signal through, endothelial and neurovascular pathways that promote BBB dysfunction, facilitate abnormal peripheral-central communication, and contribute to the amplification of neuroinflammation [19, 20]. This process provides a mechanistic link between systemic metabolic inflammation and CNS alterations, which are examined in greater detail at the molecular level in the section “BBB dysfunction”.
From adaptive neuroinflammation to chronic diabetic dysfunction
Currently, neuroinflammation is understood as a context-dependent immune response within the nervous system involving resident glial cells, soluble inflammatory mediators, vascular components, and, under specific conditions, peripheral immune signals [21, 22]. In physiological conditions, low-level inflammatory signaling contributes to immune surveillance, synaptic remodeling, and the maintenance of CNS homeostasis. However, when these responses become excessive, prolonged, or maladaptively regulated, they may shift toward a pathogenic state characterized by sustained cytokine production, altered glial reactivity, synaptic dysfunction, and neuronal vulnerability [16, 23]. Defining the factors that govern this transition remains an important conceptual challenge in this field and is particularly relevant for understanding how metabolic disease converts adaptive neuroimmune signaling into chronic neural pathology.
A critical distinction in the study of neuroinflammation lies in the difference between acute and chronic neuroinflammatory responses. Acute neuroinflammation is usually induced by infection, trauma, ischemia, or transient metabolic stress and is generally characterized by a rapid but coordinated activation of glial cells and inflammatory pathways, the aim of which is to limit tissue damage and restore local homeostasis [24-26]. In this context, inflammatory mediators can promote phagocytosis, eliminate damaged cellular components, and contribute to tissue remodeling and repairing. Conversely, chronic neuroinflammation reflects a persistent and dysregulated inflammatory state in which glial activation is sustained over time, and homeostatic resolution fails to occur. This chronic condition is commonly associated with continuous production of pro-inflammatory cytokines, oxidative stress, mitochondrial dysfunction, and progressive disturbances in neuronal communication [27-29]. The transition from an adaptive acute response to a chronic maladaptive process represents a key pathophysiological turning point in multiple neurological and metabolic disorders.
Cellular and molecular mechanisms linking diabetes to neuroinflammation
BBB dysfunction
The BBB is a highly specialized interface that regulates the exchange of oxygen, nutrients, ions, and signaling molecules between the circulation and CNS. Its integrity depends on the coordinated interaction of endothelial cells, pericytes, astrocytic end-feet, and tight junction proteins, such as occludin and claudins, which together restrict the uncontrolled entry of toxins, pathogens, circulating immune cells, and other blood-borne factors into neural tissue [11]. In diabetes, increased BBB permeability or disruption is considered a key event in the development of neuroinflammation, partly driven by circulating AGEs, and cytokines and chemokines that are overproduced by immune cells, dysfunctional adipocytes and stressed organs in response to diabetic hyperglycemia [13]. These mediators can influence the CNS without extensively crossing the BBB. By binding to their cognate receptors on endothelial cells, they trigger intracellular inflammatory programs that compromise barrier function, increase reactivity, and stimulate the release of chemokines, adhesion molecules, and other inflammatory mediators [14]. This interaction also promotes ROS production, AGE accumulation, and inflammasome activation within the endothelium, thereby facilitating downstream signaling toward the brain parenchyma [16, 17]. Chemokines like C-C motif chemokine ligand 2 (CCL2) amplify this process by activating endothelial cells and recruiting leukocytes to the neurovascular unit [18]. In parallel, peripheral AGEs interact with the receptor for advanced glycation end-products (RAGE) on brain endothelial cells, driving NF-κB-dependent inflammation that links systemic metabolic stress to the CNS [19, 20]. These convergent signals progressively disrupt the neurovascular unit through endothelial dysfunction, tight junction degradation, and altered expression of adhesion molecules (vascular cell adhesion molecule-1 [VCAM-1] and intercellular adhesion molecule-1 [ICAM-1]) [21-23]. At the cellular level, these changes lead to astrocyte end-feet retraction, tight junction breakdown, mitochondrial damage, and vacuolization [23-25], facilitating the entry of peripheral cells and mediators into the brain parenchyma.
Evidence of BBB disruption has also been reported in humans. Dynamic contrast-enhanced magnetic resonance imaging (MRI) studies have shown that diabetic patients with cognitive impairment exhibit increased permeability signals in the basal ganglia and hippocampus, suggesting that BBB dysfunction may contribute to deficits in memory and executive function in the clinical setting [26]. Collectively, these alterations increase BBB permeability, strengthen the signaling impact of circulating inflammatory mediators, and facilitate maladaptive communication between the periphery and the CNS.
Notably, in diabetic mice with BBB dysfunction—characterized by increased angiogenesis, reduced pericyte coverage and greater vascular permeability—treatment with the dipeptidyl peptidase-4 (DPP-4) inhibitor linagliptin or the sulfonylurea glimepiride has been reported to partially reverse barrier leakage and normalize capillary pericyte coverage [25].
Because the BBB is not a static structure but a responsive neurovascular interface, its progressive dysfunction may help explain how metabolic stress, vascular alterations, inflammatory signaling, and glial activation converge to promote neuronal vulnerability and cognitive decline. Therefore, a more detailed characterization of BBB remodeling in diabetes can provide an important framework for elucidating disease mechanisms, identifying early biomarkers of neural damage, and developing strategies aimed at preserving neurovascular integrity before irreversible brain dysfunction becomes established.
Glial activation and neuroimmune crosstalk in diabetes
Microglia are the resident innate immune cells of the CNS and play essential roles in immune surveillance and maintenance of tissue homeostasis [27]. However, under BBB dysfunction triggered by diabetic conditions, the pathological combination of chronic hyperglycemia, insulin resistance, high AGEs concentration, oxidative stress, and circulating inflammatory mediators promote persistent microglial activation, leading to increased production of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), ROS, and reactive nitrogen species (RNS) [28-30]. Rather than representing a transient protective response, sustained diabetic stress shifts microglia toward maladaptive phenotypes that perpetuate neuroinflammation, synaptic dysfunction, and neuronal injury in the brain [4, 28, 31].
Astrocytes are equally important regulators of neural homeostasis through their roles in metabolic support, neurotransmitter recycling, and maintenance of BBB integrity [32]. In diabetes, prolonged exposure to hyperglycemia, inflammatory cytokines, AGEs, and oxidative stress induces astrocytic reactivity, characterized by increased secretion of cytokines, chemokines, and complement components, together with impaired glutamate uptake, altered potassium homeostasis, and disruption of metabolic coupling with neurons [28, 30, 33]. These alterations increase excitotoxic stress, compromise neuronal resilience, and further reinforce the inflammatory microenvironment [34-36].
Experimental evidence consistently supports the involvement of both glial cell populations in diabetes-associated neuroinflammation. Rodent models of streptozotocin-induced diabetes, high-fat diet-induced diabetes, and db/db mice exhibit increased ionized calcium-binding adapter molecule 1 (Iba-1) and glial fibrillary acidic protein (GFAP) immunoreactivity in several brain regions, including the hippocampus and cerebral cortex, together with elevated expression of TNF-α, IL-1β, IL-6, and components of the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome [24, 28, 37-41]. These glial alterations correlate with oxidative stress, synaptic dysfunction, and cognitive impairment, supporting the concept that glial activation represents one of the principal mechanisms linking metabolic dysregulation to neuronal damage in diabetes [28, 29].
Bidirectional communication between microglia and astrocytes can initially help contain tissue damage and restore local balance; however, under persistent diabetic conditions this interaction evolves into a self-sustaining inflammatory circuit. Microglia-derived cytokines, particularly TNF-α and IL-1β, promote astrocytic activation, whereas reactive astrocytes release additional cytokines, chemokines, complement factors, and inflammatory mediators that further stimulate microglia [7, 28]. Hyperglycemia, oxidative stress, AGEs accumulation, and BBB dysfunction continuously reinforce this reciprocal activation, maintaining chronic neuroinflammation even in the absence of acute insults [10, 28, 29]. Consequently, glial crosstalk constitutes a central pathological mechanism underlying diabetes-associated neuronal dysfunction and represents an attractive therapeutic target for interrupting the self-reinforcing cycle of chronic neuroinflammation [30, 42].
Downstream inflammatory signaling and metabolic stress pathways
Pattern recognition receptors in diabetes
Pattern recognition receptors (PRRs) provide a crucial link between cellular stress and innate immune activation in neural tissue [43]. These host receptors exist either as membrane-bound proteins or as cytosolic sensors and are specialized in detecting pathogen-associated molecular patterns (PAMPs) and DAMPs released during tissue stress, injury, or infection. In diabetes, metabolic imbalance promotes the accumulation of DAMP-like signals and other inflammatory stimuli, thus creating conditions that favor persistent PRR activation [44, 45].
Among the PRRs expressed in brain cells, the most studied receptors in relation to diabetes include Toll-like receptors (TLRs) and nucleotide-binding oligomerization domain-like receptors (NLRs), although increasing attention has also been directed toward retinoic acid-inducible gene I (RIG-I)-like receptors and several chemokine receptors. In all these families, receptor activation in diabetic conditions initiates intracellular signaling cascades that converge on inflammatory transcription factors, cytokine production, and inflammasome priming [30, 46, 47].
TLRs are transmembrane receptors located on the cell surface, where they primarily detect lipid and protein components, or in endosomal compartments, where they recognize nucleic acids. Structurally, they contain an extracellular domain involved in PAMPs and DAMPs recognition, a transmembrane region, and a cytoplasmic Toll/interleukin-1 receptor (TIR) domain that initiates downstream signaling [47]. In neural tissue, TLR activation promotes inflammation, structural alterations, and apoptosis mainly through canonical NF-κB signaling, which in turn stimulates the production of pro-inflammatory cytokines [48-50].
NLRs are intracellular PRRs that also recognize PAMPs and DAMPs and play a central role in inflammasome assembly and caspase activation [51, 52]. These receptors are structurally composed of a core nucleotide-binding domain (NBD), a C-terminal ligand-sensing region, and a N-terminal interaction domain whose identity determines the major receptor subfamilies [53]. Among them, NLRP3 has been the most researched due to its functional interaction with TLR signaling and its prominent role in metabolic inflammation [54].
Several markers associated with NLR activation are elevated in diabetic patients and in experimental models of diabetes, in peripheral tissues [55], in the CNS, and in vivo and in vitro settings [37, 38]. Consistent with this observation, pharmacological or experimental inhibition of NLRP3 has been reported to reduce excessive ROS production, attenuate glial inflammatory responses, and improve diabetes-associated cognitive dysfunction [30, 40, 41].
RIG-I-like receptors are also intracellular sensors, classically involved in the recognition of viral nucleic acids and the induction of antiviral immune responses [52, 56]. Their structure includes N-terminal signaling domains, a central helicase/ATPase region, and a C-terminal regulatory domain [53]. Emerging evidence suggests that some metabolic features of diabetes, including intestinal dysbiosis and changes in tryptophan-related microbial metabolites, may activate inflammatory pathways linked to these receptors [57-60].
NF-κB, MAPK, and JAK/STAT signaling in diabetes
Several intracellular pathways activated downstream of the receptors described above shape the transcriptional and functional profile of the neuroinflammatory response in diabetes. Among these, NF-κB, MAPK, and JAK/STAT stand out as key signaling hubs, integrating stress, inflammation, and damage signals into coordinated transcriptional programs. NF-κB regulates the expression of numerous cytokines, chemokines, adhesion molecules, and enzymes involved in oxidative and nitrosative stress [61] and is consistently activated in experimental models of neuroinflammation, where it is often regarded as a hallmark of neuroinflammatory status [62-65].
MAPK signaling, which includes the ERK, JNK, and p38 branches, modulates glial activation, inflammatory gene expression, processes related to apoptosis, and cellular adaptation to diabetic stress [66-68]. In parallel, the JAK/STAT pathway converts extracellular cytokine signals into transcriptional programs that influence astrocytic reactivity, microglial polarization, and broader neuroimmune remodeling [69]. Together, these pathways form a central signaling layer that coordinates communication among microglia, astrocytes, neurons, and endothelial cells by promoting the expression of inflammatory mediators such as IL-1β, IL-6, TNF-α, cyclooxygenase 2 (COX-2), inducible nitric oxide synthase (iNOS), chemokines including CCL2 and CXCL10, adhesion molecules such as ICAM-1 and VCAM-1, and genes related to survival and apoptosis, such as Bcl-2, Bax, and caspases. Their dynamic interaction helps determine whether inflammation remains adaptive or progresses toward chronic pathogenic signaling in diabetic neural tissue.
Cytokines and chemokines in diabetes-associated Neuroinflammation
Consistent evidence from experimental models of diabetes identifies TNF-α, IL-1β, and IL-6 as key markers of neuroinflammation. These mediators are closely related to dysregulation of glial and endothelial function, as well as cognitive impairment in diabetes [70-75]. In parallel, several chemokine receptors have also been implicated in diabetes-associated neuroinflammation. These G protein-coupled receptors regulate the behavior of immune cells in the brain through ligand-dependent signaling, and receptors such as CX3CR1, CXCR3, CXCR4, CCR2, and CCR5 have been particularly associated with microglial activity in CNS lesions [76, 77]. In this sense, some chemokines, including CXCL9, CXCL8, and CXCL10, are altered in diabetic patients [78, 79]. While their direct contribution to diabetes-induced neuroinflammatory signaling is not yet fully defined, they are known to facilitate the spread of inflammation by promoting cellular recruitment, modulating glial migration, and amplifying local immune communication [80]. In diabetic complications, the activation of some of these pathways has even been linked to neuroprotective effects, which underlies the functional complexity of chemokine signaling in this context [81-83].
Activation of NLRP3 inflammasome in diabetes
Inflammasomes are cytosolic multiprotein complexes activated in response to diverse danger signals, such as mitochondrial damage, reactive oxygen species, lysosomal destabilization, ionic imbalance, and metabolic stress. Among them, the NLRP3 inflammasome occupies a particularly relevant position as an amplifier of neuroinflammation in diabetes [37, 39, 84]. Accordingly, its modulation has become an increasing focus of research in metabolic syndrome and diabetic conditions, using drugs and compounds that act as inhibitors of this protein assembly, both in the brain [24, 85] and in peripheral organs [86].
Inflammasome activation typically requires a priming step, often mediated by PRR and NF-κB signaling, followed by an assembly step that leads to caspase-1 activation [87-89]. Active caspase-1 cleaves pro-IL-1β and pro-IL-18 into their mature forms and can also trigger pyroptotic cell death through gasdermin-mediated membrane disruption [90-92]. In neural tissue, excessive inflammasome activation enhances glial reactivity, increases cytokine release, and contributes to synaptic damage and neuronal loss [93-95]. Therefore, NLRP3 should be considered an integrative inflammatory hub that connects cellular stress sensing with potent downstream effector cascades and pathological neuroinflammation.
Oxidative stress and mitochondrial dysfunction as amplifiers of diabetic Neuroinflammation
Oxidative stress and mitochondrial dysfunction are both consequences and amplifiers of neuroinflammatory signaling. Activated glial cells generate reactive oxygen and nitrogen species as part of the inflammatory response: microglia mainly through the NADPH oxidase/NOX2 pathway, and astrocytes through disturbances in mitochondrial redox regulation and mechanisms related to nitric oxide synthase [96, 97]. Excessive accumulation of these reactive molecules damages lipids, proteins, and nucleic acids, thereby compromising both neuronal and glial function.
Mitochondria are among the main sources of ROS because some of the oxygen processed by the respiratory chain is released as partially reduced intermediates [98]. At the same time, mitochondria are especially vulnerable to ROS-induced damage, which can manifest as impaired ATP production, poor calcium buffering, increased ROS generation, and the release of mitochondrial danger signals that stimulate innate immune pathways [99]. These abnormalities reinforce cytokine production, facilitate inflammasome activation, and lower the threshold for persistent glial reactivity. The result is a self-perpetuating cycle in which redox imbalance and impaired mitochondrial homeostasis maintain inflammatory signaling and accelerate neural damage. Therefore, oxidative stress and mitochondrial dysfunction should be considered mechanistic amplifiers that consolidate the transition from transient neuroimmune activation to chronic pathological inflammation. Figure 1 integrates the general mechanisms presented in the previous sections.

Figure 1. Proposed mechanisms linking metabolic disturbances to neuroinflammation and neurodegeneration in diabetes. Chronic metabolic alterations associated with diabetes, including hyperglycemia, insulin resistance, dyslipidemia, and the accumulation of AGEs, contribute to blood– brain barrier (BBB) dysfunction through endothelial activation, loss of tight junction integrity (↓), and increased expression of adhesion molecules such as ICAM-1 and VCAM-1 (↑). BBB disruption facilitates the infiltration of peripheral inflammatory cells and circulating inflammatory mediators into the brain parenchyma. These signals activate microglia through pattern recognition receptors, including TLRs and the receptor for AGEs, triggering intracellular signaling pathways such as NF-κB, MAPK, and JAK/STAT. The activation of these pathways promotes inflammatory gene expression, production of pro-inflammatory cytokines and neurotoxic mediators, and priming of the NLRP3 inflammasome. Activated microglia and reactive astrocytes engage in bidirectional crosstalk that amplifies neuroinflammatory responses and oxidative stress. Subsequent NLRP3 inflammasome activation leads to caspase-1 activation and maturation of IL-1β and IL-18, further sustaining chronic inflammation. Persistent neuroinflammation and oxidative stress contribute to neuronal dysfunction, synaptic impairment, neurodegeneration, and cognitive decline, ultimately promoting the development of diabetic encephalopathy.
Integrated sequence of events linking diabetes to neuroinflammation
The mechanisms in the above sections represent an interdependent, overlapping cascade rather than a linear sequence, which can be divided into distinct modules. The first module encompasses concurrent chronic hyperglycemia, insulin resistance, dyslipidemia, AGE accumulation, elevated free fatty acids, oxidative stress, and low-grade systemic inflammation, which collectively drive a peripheral metabolic-inflammatory state affecting the neurovascular unit. Therapeutics including metformin, adamantane derivatives, and GIP/GLP-1 receptor agonists have shown efficacy in mitigating aspects of this phase [100-110]. According to the International Diabetes Federation, this step is still largely reversible, with hyperglycemia and its immediate systemic effects responding well to lifestyle modifications [9].
A second closely related module centers on the BBB, where circulating cytokines, chemokines, AGEs, and lipid-derived signals activate endothelial receptors and stress-sensitive pathways [17]. This triggers oxidative stress, adhesion molecule expression, tight junction breakdown, pericyte loss, astrocyte end-feet retraction, and BBB hyperpermeability. Together, these alterations intensify aberrant peripheral-to-central signaling, fostering a microenvironment for glial activation prior to marked cellular infiltration. Therapeutics such as sodium-glucose cotransporter-2 (SGLT2) inhibitors, GLP-1 receptor agonists, and various natural products have been shown to preserve BBB integrity across preclinical and clinical models [17, 111, 112].
In a third module, microglia and astrocytes respond to endothelial, metabolic, and inflammatory signals by adopting reactive phenotypes characterized by increased production of cytokines, chemokines, ROS, RNS, and complement-related mediators. This glial response overlaps with the activation of PRRs, including TLRs, RAGE-related pathways, and NLR sensors, which converge on NF-κB, MAPK, and JAK/STAT signaling to sustain inflammatory gene expression and amplify the production of TNF-α, IL-1β, IL-6, CCL2, CXCL10, ICAM-1, VCAM-1, COX-2, and iNOS [28].
The fourth module centers on PRR- and NF-κB-dependent priming, mitochondrial dysfunction, ROS generation, ionic imbalance, and metabolic stress. Together, these drivers promote NLRP3 inflammasome activation, caspase-1 signaling, IL-1β/IL-18 maturation, and pyroptosis-driven inflammatory amplification [73, 86, 96]. Consequently, oxidative stress and mitochondrial injury act not as passive endpoints, but as active amplifiers throughout the cascade. Ultimately, the interplay among these modules establishes a vicious cycle wherein neurovascular impairment, neuroinflammation, redox imbalance, and synaptic dysfunction converge toward cognitive decline and diabetic brain pathology.
In general, animal studies have focused on palliative strategies targeting the mediator molecules of the third and fourth modules [100-110, 113-117]. However, because the mechanisms in these modules are self-sustaining and rooted in preceding chronic events, their modulation should be regarded as palliative—helping to prevent further, more pronounced deterioration—rather than as fully restorative or reversible. Figure 2 outlines these modular events.

Figure 2. Integrated modular cascade linking diabetes-associated metabolic dysfunction to chronic neuroinflammation and neural impairment. Chronic hyperglycemia, insulin resistance, dyslipidemia, AGEs accumulation, oxidative imbalance, and low-grade systemic inflammation generate a peripheral inflammatory-metabolic state that compromises the neurovascular unit and promotes BBB dysfunction. Increased BBB permeability and endothelial activation facilitate abnormal peripheral-to-central signaling, favoring microglial and astrocytic reactivity. In parallel, activation of pattern recognition receptors, including TLRs, RAGE-related pathways, and NLR sensors, converges on NF-κB, MAPK, and JAK/STAT signaling, amplifying cytokine, chemokine, ROS/RNS, COX-2, and iNOS production. Mitochondrial dysfunction and redox imbalance further promote NLRP3 inflammasome activation, caspase-1 signaling, IL-1β/IL-18 maturation, and pyroptosis-related amplification. These interdependent modules establish a self-reinforcing loop in which neurovascular dysfunction, glial crosstalk, innate immune signaling, inflammasome activation, oxidative stress, synaptic impairment, and neuronal vulnerability converge toward cognitive decline and diabetic brain dysfunction.
Therapeutic perspectives in diabetes-associated neuroinflammation
Diabetes-associated neuroinflammation offers multiple therapeutic opportunities, as diabetic brain injury arises from the convergence of BBB dysfunction, glial reactivity, oxidative stress, and chronic inflammatory signaling. Consequently, current strategies increasingly focus on the pathways that perpetuate this self-reinforcing pathology, including TLR4, NF-κB, MAPK, JAK/STAT, and inflammasome-related signaling, with the aim of reducing cytokine production, oxidative damage, and synaptic dysfunction.
Beyond direct anti-inflammatory approaches, therapeutic strategies also target oxidative stress, mitochondrial dysfunction, AGEs-RAGE signaling, redox-sensitive pathways, NLRP3 activation, and modulators of glial phenotypes. Taken together, these interventions aim not only to suppress chronic pathogenic signaling but also to preserve physiological neuroimmune functions. It is worth noting that many of the proposed approaches involve naturally occurring compounds, reflecting growing interest in alternatives that may offer lower toxicity and greater suitability for long-term use.
Pharmacological approaches to diabetes
Metformin remains a first-line therapy for hyperglycemia and type 2 diabetes, but it has also shown relevant neuroprotective effects in experimental settings [100]. In aged male C57BL/6 mice with diet-induced hyperglycemia, metformin reduced markers of pro-inflammatory microglial phenotypes and decreased TNF-α levels in the motor and sensory cortices, supporting its ability to attenuate diabetes-associated neuroinflammation by modulating glial responses [101]. In addition, metformin increased antioxidant markers in the hippocampus, an effect that was potentiated when combined with an ethanolic purslane extract [102].
Other pharmacological strategies have also demonstrated anti-inflammatory and neuroprotective potential in diabetic models. Adamantine derivatives and antidiabetic agents containing the adamantane moiety, such as vildagliptin and saxagliptin, reduce the expression of IL-1β, IL-6, and TNF-α and help prevent diabetes-associated cognitive decline, suggesting a favorable profile for limiting neuroinflammatory damage [113]. Incretin-based therapies have also gained attention due to their combined metabolic actions and potential neuroprotective effects. Glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) are intestinal hormones essential for metabolic regulation, and their receptors are also expressed in the brain. In this context, tirzepatide, a dual GIP/GLP-1 receptor agonist approved for the treatment of type 2 diabetes mellitus, has emerged as a promising candidate for modulating diabetes-associated neuroinflammation [114]. Experimental evidence indicates that tirzepatide improves spatial and recognition memory and reduces the cerebral expression of TNF-α, IL-6, IL-1β, and oxidative stress markers in diabetic rats [115].
Neurocognitive effects of antidiabetic agents
A growing body of clinical evidence—including one large randomized trial with a cognitive secondary endpoint, longitudinal cohort studies, and meta-analyses—suggests that several major classes of antidiabetic agents—specifically metformin, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), and SGLT2 inhibitors—may have neuroprotective properties. These medications have been associated with slower rates of cognitive decline, better performance on standardized neurocognitive assessments, and a lower risk of incident dementia in patients with diabetes, although most of these data derive from exploratory analyses of cardiovascular outcome trials and observational cohorts rather than from cognition-primary randomized trials. Table 1 summarizes the clinical trials with published cognitive outcomes, as well as registered ongoing trials, evaluating the neurocognitive effects of antidiabetic agents.
Table 1.
Published and ongoing clinical trials evaluating the neurocognitive effects of antidiabetic agents.
| Drug class & pharmaceutical intervention | Trial name, NCT registration & phase | Sample size (N) | Primary endpoints | Key cognitive findings |
|---|---|---|---|---|
| GLP-1 RA (Dulaglutide) [118] | REWIND Trial NCT01394952 Phase 3 |
N = 8,828 (Cognitive cohort) |
Time to occurrence of substantial cognitive impairment (decrease > 1.5 SD on MoCA or DSST score) | Reduced hazard of cognitive impairment by 14% compared to placebo (HR = 0.86, 95% CI: 0.79–0.95, P = 0.0018) |
| GLP-1 RA (Liraglutide) [119] | ELAD Trial NCT01843075 Phase 2b |
N = 204 | Change in cerebral glucose metabolic rate (FDG-PET) and ADAS-Cog/MoCA battery scores over 12 months | Attenuated brain volume loss (temporal/parietal cortex) and significantly slowed cognitive decline compared to placebo |
| Biguanide (Metformin XR) | MetMemory Trial NCT04511416 Phase 2 |
N = 242 | 3-year change in cognitive domain Z-scores (memory, executive function) and hippocampal volume on MRI | Ongoing—endpoints: 3-year change in global cognitive function and hippocampal atrophy on MRI; results not yet published |
| SGLT2 Inhibitor (Dapagliflozin) | DECIST Trial NCT05565976 Phase 4 |
N = 270 | Change in global cognitive function (MoCA) and vascular risk markers at 12 months post-ischemic event | Ongoing—endpoints: change in MoCA, blood biomarkers (NfL, GFAP, p-tau), and MRI parameters at 12 months after ischemic stroke; results not yet published |
| SGLT2 Inhibitor (Empagliflozin) | COG-EMPA NCT04708704 Phase 4 |
N = 160 | Mean change in MoCA and MMSE composite scores from baseline to Week 36 | Ongoing—endpoints: change in MoCA and MMSE scores at 36 weeks; results not yet published |
Note: : Trial registrations: MetMemory: clinicaltrials.gov; Report no.: NCT04511416. DECIST: clinicaltrials.gov; Report no.: NCT05565976. COG-EMPA: clinicaltrials.gov; Report no.: NCT04708704. GLP-1 RA: glucagon-like peptide-1 receptor agonists; SGLT2/SGLT2i: sodium-glucose cotransporter-2 (inhibitor); XR: extended release. ADAS-Cog: Alzheimer's disease assessment scale-cognitive subscale; DSST: digit symbol substitution test; MMSE: mini-mental state examination; MoCA: Montreal Cognitive Assessment; CI: confidence interval; HR: hazard ratio; MCI: mild cognitive impairment; N: total number of participants; NCT: national clinical trial (ClinicalTrials.gov registration identifier); SD: standard deviation; FDG-PET: 18F-fluorodeoxyglucose positron emission tomography; MRI: magnetic resonance imaging.
The cognitive preservation offered by these antidiabetic agents is driven by pleiotropic mechanisms that extend beyond simple glycemic control. At the cellular level, these therapies mitigate chronic neuroinflammation by suppressing microglial activation and downregulating systemic pro-inflammatory cytokines. Additionally, they attenuate central neurodegenerative pathology by reducing the accumulation of beta-amyloid plaques and hyperphosphorylated tau, while concurrently improving mitochondrial energy metabolism, enhancing cerebral blood flow, and preserving BBB integrity [111, 112].
Furthermore, while some clinical data suggest a promising neuroprotective signal for the antidiabetic therapies described above, the current body of evidence remains inherently limited and methodologically restricted [112, 120, 122, 123]. Therefore, much of the existing data comes from exploratory secondary analyses or post-hoc endpoints incorporated into large cardiovascular outcome trials, such as the REWIND trial, rather than studies specifically designed to assess cognitive performance [118]. Moreover, targeted intervention trials have yielded mixed results. For example, large-scale phase 3 trials such as EVOKE and EVOKE+, which evaluated oral semaglutide in early Alzheimer’s disease, failed to meet their primary cognitive endpoint on the Clinical Dementia Rating Scale-Sum of Scores (CDR-SB) [124]. This discrepancy highlights that reducing epidemiological risk does not automatically translate into disease modification or clinical reversal of established neurodegeneration. These challenges are compounded by the relatively short duration of trials—typically lasting only 12 to 36 months—which prevents the capture of neurodegenerative processes that evolve over decades, as well as by the significant heterogeneity of the psychometric assessment tools used across trials [125]. Additionally, clinicians face a key mechanistic dilemma: it remains difficult to determine whether the observed cognitive preservation is due to direct CNS actions, such as reduced neuroinflammation, or to secondary systemic benefits, such as improved microvascular health and glycemic control [111]. To address these limitations and move toward definitive clinical translation, future research should focus on large-scale, prospective, randomized, phase 3 controlled trials where cognitive preservation and dementia incidence serve as primary endpoints. These studies should incorporate direct comparisons between multiple drug classes and systematically integrate fluid biomarkers, such as plasma and cerebrospinal fluid levels of neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and hyperphosphorylated tau protein (p-tau181/217), along with structural MRI and positron emission tomography (PET) imaging to objectively monitor neuronal preservation [121, 126]. Furthermore, a precision medicine strategy will be essential to stratify patient subpopulations according to genetic risk factors such as APOE gene status, baseline insulin resistance, and specific underlying etiology, such as distinguishing between vascular cognitive impairment and Alzheimer’s disease pathology [112]. Finally, research into new multi-agonist molecules (such as dual GLP-1/GIP agonists) designed for better penetration of the BBB, along with long-term follow-up periods of five to ten years, will clarify the true therapeutic potential of antidiabetic agents to delay or prevent cognitive decline.
Natural compounds as complementary strategies to diabetes
A wide range of plant extracts, phytochemical derivatives, and compounds of animal origin have been assessed in experimental in vivo and in vitro non-diabetic neuroinflammation models relevant to mechanisms. These agents are of particular interest because they can provide anti-inflammatory, antioxidant, and metabolic benefits with potentially lower toxicity and fewer side effects than conventional synthetic drugs. Consequently, they are increasingly being explored as adjuvant or complementary strategies to standard pharmacological treatment. Table 2 systematizes the fundamental experimental models, molecular targets, and therapeutic results of both conventional pharmacological agents and new natural compounds targeting diabetes-induced neuroinflammation.
Table 2.
Pharmacological strategies and natural compounds evaluated against diabetes-associated neuroinflammation.
| Strategy | Study model | Key mechanisms and effects |
|---|---|---|
| Conventional drugs | ||
| Metformin | Aged male C57BL/6 mice with diet-induced hyperglycemia [101]; HFD- and STZ-induced diabetic rats [102] | ↓ Markers of pro-inflammatory microglial phenotypes; ↓ TNF-α levels in motor and sensory cortices; ↑ antioxidant markers in the hippocampus (effect enhanced when combined with purslane extract) |
| Adamantane derivatives (vildagliptin, saxagliptin) | Diabetic mice with cognitive impairment [113] | ↓ IL-1β, IL-6, and TNF-α expression; prevents diabetes-associated cognitive decline |
| Tirzepatide (dual GIP/GLP-1 receptor agonist) | Diabetic rats [115] | Improves spatial and recognition memory; ↓ cerebral expression of TNF-α, IL-6, IL-1β, and oxidative stress markers |
| Natural compounds | ||
| Nattokinase (alkaline serine protease) | Diabetic retinopathy models [71] | Rescues endothelial dysfunction and pericyte loss; ↓ inflammation and neurodegeneration by modulating microglial signaling |
| Melissa officinalis (lemon balm, phytocomplex rich in rosmarinic acid) | BV2 microglial cells exposed to high glucose [116] | Prevents CD11b increase, NF-κB activation, and iNOS expression; inhibits ERK1/2 phosphorylation and IL-6 expression, while restoring SIRT1 levels |
| Tiliacora triandra (medicinal plant) | Models with LPS-induced memory deficits and sickness behavior [117] | Significantly ameliorates memory deficits and sickness behavior; ↓ TNF-α, IL-1β levels, and glial activation markers |
| Polyherbal extract (Citrullus colocynthis, Curcuma longa, and Myristica fragrans) | STZ-induced diabetic rats [103] | ↓ Fasting blood glucose; lipid balance restored; ↑ antioxidant defenses; behavioral and histological outcomes improved |
| Cornulaca monacantha (extract rich in flavonoids and phenolic compounds) | Neuro-2a mouse neuroblastoma cells [104] | ↓ inflammatory biomarkers; actively modulates the Nrf2 pathway |
| Hydrolea zeylanica (flavonoid-rich plant) | Rats with diabetic encephalopathy [105] | Optimizes learning and memory; ↓ glucose, ↑ insulin, and ↓ oxidative and inflammatory markers; improves cortical histology |
| Dietary combinations (grape, bilberry, saffron, and omega-3 as nutritional strategy) | Response to LPS-induced neuroinflammation in the hippocampus [106] | Selectively increase pro-resolving mediators; improve overall antioxidant status within the hippocampus |
| Anthocyanin-rich extract (aqueous extract of Hibiscus sabdariffa) | STZ-induced diabetic rats [107] | ↓ Blood glucose levels; notably optimize short-term memory performance |
| Bee venom (alone or combined with metformin) | Diabetic and hyperlipidemic mice [108, 109] and rats [110] | ↓ Systemic levels of glucose, insulin, TNF-α, and IL-6 and oxidative stress markers; pancreatic and cardiac histological improvements reported. Effects on neuroinflammation have not been directly assessed in these models. |
Note: CD11b: cluster of differentiation 11b; ERK1/2: extracellular signal-regulated kinase 1/2; GIP: glucose-dependent insulinotropic polypeptide; GLP-1: glucagon-like peptide-1; HFD: high-fat diet; IL-1β: interleukin1β; IL-6: interleukin-6; iNOS: inducible nitric oxide synthase; LPS: lipopolysaccharide; NF-κB: nuclear factor kappa-b; Nrf2: nuclear factor erythroid 2-related factor 2; SIRT1: sirtuin 1; STZ: streptozotocin; TNF-α: tumor necrosis factor-α.
Taken together, these findings suggest that natural compounds could offer a valuable complementary approach to limiting diabetes-associated neuroinflammation. Their ability to modulate oxidative stress, inflammatory mediators, glial activation and metabolic dysfunction supports their potential integration into long-term therapeutic strategies, although stronger clinical and translational evidence is still required before their adjunctive use can be recommended.
Conclusions and future directions
In summary, diabetes-associated neuroinflammation should be considered a multidimensional pathological process arising from the convergence of metabolic stress, glial dysregulation, vascular impairment, oxidative damage, and sustained inflammatory signaling. This integrative framework helps explain why diabetes promotes progressive neural dysfunction rather than isolated metabolic injury and underscores the need to move beyond glucose-centric interpretations of diabetic complications.
Future research should prioritize mechanistic stratification among diabetes phenotypes, the identification of early and reliable biomarkers of neurovascular and glial dysfunction, and the development of targeted interventions capable of attenuating chronic pathogenic signaling while preserving adaptive neuroimmune functions across the lifespan, thereby promoting healthy brain aging. Greater integration of experimental, imaging, and clinical evidence will be essential to elucidate causal pathways, enhance translational relevance, and identify therapeutic windows before irreversible neural damage is established.
Declarations
Author contributions
Made substantial contributions to literature search and data curation, drafted the manuscript, and substantively revised it: Silva-Silverio DE, Lomeli-Lepe AK, Ureña-Guerrero ME, López-Pérez SJ; designed and prepared the final figures: Lomeli-Lepe AK; designed and prepared the final tables: Ureña-Guerrero ME..
Availability of data and materials
Not applicable.
Financial support and sponsorship
SECIHTI (CBF2023-2024-1641), México.
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
AI and AI-assisted tools statement
No AI tools were used in the preparation of this article.
References
1. Cheng S, Xiao B, & Luo Z. Glycosylation in neuroinflammation: mechanisms, implications, and therapeutic strategies for neurodegenerative diseases. Transl Neurodegener, 2025, 14(1): 47-59. [Crossref]
2. Yu H, Ren K, Jin Y, Zhang L, Liu H, Huang Z, et al. Mitochondrial DAMPs: key mediators in neuroinflammation and neurodegenerative disease pathogenesis. Neuropharmacology, 2025, 264: 110217. [Crossref]
3. Kwon H, & Koh S. Neuroinflammation in neurodegenerative disorders: the roles of microglia and astrocytes. Transl Neurodegener, 2020, 9(1): 42. [Crossref]
4. Xu Y, Gao W, Sun Y, & Wu M. New insight on microglia activation in neurodegenerative diseases and therapeutics. Front Neurosci, 2023, 17: 1308345. [Crossref]
5. Santos D, Silva Lima S, Moreira L, Lima Costa S, & de Sampaio Schitine C. New perspectives on heterogeneity in astrocyte reactivity in neuroinflammation. Brain Behav Immun Health, 2025, 44: 100948. [Crossref]
6. Quincozes-Santos A, Santos C, de Souza Almeida R, da Silva A, Thomaz N, Costa N, et al. Gliotoxicity and glioprotection: the dual role of glial cells. Mol Neurobiol, 2021, 58(12): 6577-6592. [Crossref]
7. Liddelow S, Marsh S, & Stevens B. Microglia and astrocytes in disease: dynamic duo or partners in crime? Trends Immunol, 2020, 41(9): 820-835. [Crossref]
8. Sun Q, Zhang L, Zhao J, & Wang S. Sentinel factors for mild cognitive impairment in type 2 diabetes mellitus and their interaction mechanisms: a narrative review with network analysis perspective. Front Endocrinol, 2026, 17: 1829014. [Crossref]
9. Giannakogeorgou A, Roden M, & Pafili K. Diabetes mellitus as a multisystem disease: understanding subtypes, complications, and the link with steatotic liver diseases in humans. Hormones, 2026, 25(1): 61-80. [Crossref]
10. Henn R, Noureldein M, Elzinga S, Kim B, Savelieff M, & Feldman E. Glial-neuron crosstalk in health and disease: a focus on metabolism, obesity, and cognitive impairment. Neurobiol Dis, 2022, 170: 105766. [Crossref]
11. Shen K, Shi Y, Wang X, & Leung S. Cellular components of the blood–brain barrier and their involvement in aging-associated cognitive impairment. Aging Dis, 2024, 16(3): 1513-1534. [Crossref]
12. Preeti K, Sood A, & Fernandes V. Metabolic regulation of glia and their neuroinflammatory role in Alzheimer’s disease. Cell Mol Neurobiol, 2022, 42(8): 2527-2551. [Crossref]
13. Ruze R, Liu T, Zou X, Song J, Chen Y, Xu R, et al. Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Front Endocrinol, 2023, 14: 1161521. [Crossref]
14. Versele R, Sevin E, Gosselet F, Fenart L, & Candela P. TNF-α and IL-1β modulate blood–brain barrier permeability and decrease amyloid-β peptide efflux in a human blood–brain barrier model. Int J Mol Sci, 2022, 23(18): 10235. [Crossref]
15. Zhang M, Xie J, Ma Y, Wang L, Liu L, Zhang P, et al. TNF-α in traumatic brain injury: a bidirectional effect in regulating neuroimmune and inflammatory responses. Cell Mol Life Sci, 2025, 82(1): 372-390. [Crossref]
16. Jin C, & Zhao Y. The interplay between neuroinflammation and endothelial dysfunction in cerebral small vessel disease. Front Immunol, 2026, 17: 1809556. [Crossref]
17. Zhang Q, Liu J, & Ji X. Diabetic cerebral microvascular disorder: from key pathologies to targeted interventions. Ann Med, 2026, 58(1): 2654248. [Crossref]
18. Wu Q, Miao Z, Lei W, Wu X, Zhao J, & Sun J. Chemokine networks in blood–brain barrier regulation: bidirectional mechanisms, clinical translation, and precision therapeutic prospects. Biomolecules, 2026, 16(3): 395-409. [Crossref]
19. Kacem H, d'Angelo M, Qosja E, Topi S, Castelli V, & Cimini A. The inflammatory bridge between type 2 diabetes and neurodegeneration: a molecular perspective. Int J Mol Sci, 2025, 26(15): 7566-7579. [Crossref]
20. Wasilewska B, Mazur U, Kordas B, Mizia P, & Juranek J. RAGE axis in the pathogenesis and treatment of CNS neurodegeneration in long-term hyperglycemia. Int J Mol Sci, 2026, 27(4): 1881-1899. [Crossref]
21. Alshammari M, Alshehri A, Alqahtani F, Khan M, Bakhrebah M, Alasmari F, et al. Increased permeability of the blood–brain barrier in a diabetic mouse model (Leprdb/db mice). Int J Mol Sci, 2024, 25(14): 7768-7779. [Crossref]
22. Han J, Tang H, Yao L, Jin E, Pan W, & Chen S. Azilsartan protects against hyperglycemia-induced hyperpermeability of the blood–brain barrier. Bioengineered, 2021, 12(1): 3621-3633. [Crossref]
23. Li X, Cai Y, Zhong Z, Li M, Huang D, Qiao Z, et al. NG2-glia cause diabetic blood–brain barrier disruption by secreting MMP-9. Diabetes Metab J, 2026, 50(1): 47-61. [Crossref]
24. Li Y, Zhang H, Long W, Gao M, Guo W, & Yu L. Inhibition of NLRP3 and Golph3 ameliorates diabetes-induced neuroinflammation in vitro and in vivo. Aging, 2022, 14(21): 8745-8762. [Crossref]
25. Elabi O, Karampatsi D, Vercalsteren E, Lietzau G, Nyström T, Klein T, et al. DPP-4 inhibitor and sulfonylurea differentially reverse type 2 diabetes-induced blood–brain barrier leakage and normalize capillary pericyte coverage. Diabetes, 2023, 72(3): 405-414. [Crossref]
26. Qiao L, Tang X, Peng J, Xie Q, Wu M, & Tang Z. Blood and imaging biomarkers of blood–brain barrier disruption in diabetic individuals with cognitive impairment. Aging Clin Exp Res, 2026, 38(1): 121-139. [Crossref]
27. McKinney J, Bennett M, & Bennett F. Basic microglial functions and how they go awry in neurodegenerative disease. Annu Rev Pathol, 2026, 21(1): 59-80. [Crossref]
28. Llorián-Salvador M, Cabeza-Fernández S, Gomez-Sanchez J, & de la Fuente A. Glial cell alterations in diabetes-induced neurodegeneration. Cell Mol Life Sci, 2024, 81(1): 47-65. [Crossref]
29. Padovani-Claudio D, Ramos C, Capozzi M, & Penn J. Elucidating glial responses to products of diabetes-associated systemic dyshomeostasis. Prog Retin Eye Res, 2023, 94: 101151. [Crossref]
30. Sovrani V, Dias F, Almeida R, Wartchow K, Glänzel N, Rezena E, et al. Resveratrol mitigates high glucose-induced inflammation in astroglial cells. Metabolites, 2025, 15(12): 771-786. [Crossref]
31. Javanmehr N, Saleki K, Alijanizadeh P, & Rezaei N. Microglia dynamics in aging-related neurobehavioral and neuroinflammatory diseases. J Neuroinflammation, 2022, 19(1): 273-293. [Crossref]
32. Jiwaji Z, & Hardingham G. Good, bad, and neglectful: astrocyte changes in neurodegenerative disease. Free Radic Biol Med, 2022, 182: 93-99. [Crossref]
33. Li Z, Jiang Y, Long C, Peng Q, & Yue R. The gut microbiota-astrocyte axis: implications for type 2 diabetic cognitive dysfunction. CNS Neurosci Ther, 2023, 29(Suppl 1): 59-73. [Crossref]
34. Ohno Y, Kunisawa N, & Shimizu S. Emerging roles of astrocyte Kir4.1 channels in the pathogenesis and treatment of brain diseases. Int J Mol Sci, 2021, 22(19): 10236. [Crossref]
35. Theparambil S, Begum G, & Rose C. pH regulating mechanisms of astrocytes: a critical component in physiology and disease of the brain. Cell Calcium, 2024, 120: 102882. [Crossref]
36. Tarantini S, Nyúl-Tóth Á, Yabluchanskiy A, Csipo T, Mukli P, Balasubramanian P, et al. Endothelial deficiency of insulin-like growth factor-1 receptor (IGF1R) impairs neurovascular coupling responses in mice, mimicking aspects of the brain aging phenotype. Geroscience, 2021, 43(5): 2387-2394. [Crossref]
37. Wang H, Liang Q, Wen Z, Ma W, Ji S, Zhang H, et al. Enriched environment alleviates NLRP3 inflammasome mediated neuroinflammation in diabetes complicated with depression rats. Sci Rep, 2025, 15(1): 14214. [Crossref]
38. Iwasa M, Kato H, Iwashita K, Yamakage H, Kato S, Saito S, et al. Taxifolin suppresses inflammatory responses of high-glucose-stimulated mouse microglia by attenuating the TXNIP-NLRP3 axis. Nutrients, 2023, 15(12): 2378-2388. [Crossref]
39. Zhang Y, Guo W, Tang Z, Lin H, Hong P, Wang J, et al. Isoflurane attenuates cerebral ischaemia-reperfusion injury via the TLR4-NLRP3 signalling pathway in diabetic mice. Oxid Med Cell Longev, 2022, 2022: 2650693. [Crossref]
40. Wang W, & Zhang J. Teneligliptin alleviates diabetes-related cognitive impairment by inhibiting the endoplasmic reticulum (ER) stress and NLRP3 inflammasome in mice. Aging, 2023, 16(9): 8336-8347. [Crossref]
41. Kato H, Iwashita K, Iwasa M, Kato S, Yamakage H, Suganami T, et al. Imeglimin exhibits novel anti-inflammatory effects on high-glucose-stimulated mouse microglia through ULK1-mediated suppression of the TXNIP-NLRP3 axis. Cells, 2024, 13(3): 284-298. [Crossref]
42. Alemán-Villa K, Armienta-Rojas D, Camberos-Barraza J, Rábago-Monzón Á R, Camacho-Zamora A, Osuna-Ramos J, et al. Neuroinflammation across the spectrum of neurodegenerative diseases: mechanisms and therapeutic frontiers. Neuroimmunomodulation, 2025, 32(1): 278-305. [Crossref]
43. Kumar V, & Stewart Iv J. Pattern-recognition receptors and immunometabolic reprogramming: what we know and what to explore. J Innate Immun, 2024, 16(1): 295-323. [Crossref]
44. Zhou R, Chen S, Zhao Z, Tu D, Song S, Wang Y, et al. Complement C3 enhances LPS-elicited neuroinflammation and neurodegeneration via the Mac1/NOX2 pathway. Mol Neurobiol, 2023, 60(9): 5167-5183. [Crossref]
45. Cedillo Y, Sammy M, Taylor M, Hanick C, Peterson C, & Gower B. Mitochondrial DNA DAMPs, inflammation, and insulin sensitivity after dietary interventions in adults with type 2 diabetes. Nutrients, 2025, 17(20): 3248-3261. [Crossref]
46. Zhou X, Zhu Y, Gao L, Li Y, Li H, Huang C, et al. Binding of RAGE and RIPK1 induces cognitive deficits in chronic hyperglycemia-derived neuroinflammation. CNS Neurosci Ther, 2024, 30(3): e14449. [Crossref]
47. Ghosh P, Fontanella R, Scisciola L, Pesapane A, Taktaz F, Franzese M, et al. Targeting redox imbalance in neurodegeneration: characterizing the role of GLP-1 receptor agonists. Theranostics, 2023, 13(14): 4872-4884. [Crossref]
48. Chen R, Zou J, Chen J, Zhong X, Kang R, & Tang D. Pattern recognition receptors: function, regulation and therapeutic potential. Signal Transduct Target Ther, 2025, 10(1): 216. [Crossref]
49. Kumbol V, Ivanov A, McGurran H, Schüler J, Zhai Y, Ludwik K, et al. Neurodegenerative disease-associated microRNAs acting as signaling molecules modulate CNS neuron structure and viability. Cell Commun Signal, 2025, 23(1): 196-210. [Crossref]
50. Kim R, Mabunga D, Boo K, Kim D, Han S, Shin C, et al. GSP1-111 modulates the microglial M1/M2 phenotype by inhibition of toll-like receptor 2: a potential therapeutic strategy for depression. Int J Mol Sci, 2024, 25(19): 10594. [Crossref]
51. Sundaram B, Tweedell R, Prasanth Kumar S, & Kanneganti T. The NLR family of innate immune and cell death sensors. Immunity, 2024, 57(4): 674-699. [Crossref]
52. Chou W, Jha S, Linhoff M, & Ting J. The NLR gene family: from discovery to present day. Nat Rev Immunol, 2023, 23(10): 635-654. [Crossref]
53. Li D, & Wu M. Pattern recognition receptors in health and diseases. Signal Transduct Target Ther, 2021, 6(1): 291-307. [Crossref]
54. Gupta S, Cassel S, Sutterwala F, & Dagvadorj J. Regulation of the NLRP3 inflammasome by autophagy and mitophagy. Immunol Rev, 2025, 329(1): e13410. [Crossref]
55. Ali H, Boshra M, Agwa S, Hakeem M, Meteini M, & Matboli M. Identification of a multi-messenger RNA signature as type 2 diabetes mellitus candidate genes involved in crosstalk between inflammation and insulin resistance. Biomolecules, 2022, 12(9): 1230-1243. [Crossref]
56. Ren Y, Cui S, Hong Q, Shen W, Li Q, Wu L, et al. Role of NOD-like receptors in a miniature pig model of diabetic renal injuries. Mediators Inflamm, 2022, 2022: 5515305. [Crossref]
57. Oh S, Kumari P, Auroni T, Stone S, Pathak H, Elsharkawy A, et al. Upregulation of neuroinflammation-associated genes in the brain of SARS-CoV-2-infected mice. Pathogens, 2024, 13(7): 528-541. [Crossref]
58. Liu N, Yan X, Lv B, Wu Y, Hu X, Zheng C, et al. A study on the association between gut microbiota, inflammation, and type 2 diabetes. Appl Microbiol Biotechnol, 2024, 108(1): 213-243. [Crossref]
59. Chen W, Zheng X, Yan F, Xu L, & Ye X. Modulation of gut microbial metabolism by Cyanidin-3-O-Glucoside in mitigating polystyrene-induced colonic inflammation: insights from 16S rRNA sequencing and metabolomics. J Agric Food Chem, 2024, 72(13): 7140-7154. [Crossref]
60. Ferreira C, Vieira P, Sá H, Malva J, Castelo-Branco M, Reis F, et al. Polyphenols: immunonutrients tipping the balance of immunometabolism in chronic diseases. Front Immunol, 2024, 15: 1360065. [Crossref]
61. Matsumori A. Novel biomarkers of inflammation for the management of diabetes: immunoglobulin-free light chains. Biomedicines, 2022, 10(3): 666-687. [Crossref]
62. Khan A, Sharma S, Das A, Alam M, Syed M, & Haque S. D-pinitol improves cognitive dysfunction and neuronal damage induced by isoproterenol via modulation of NF-κB/BDNF/GFAP signaling in Swiss albino mice. Iran J Basic Med Sci, 2024, 27(3): 326-334. [Crossref]
63. Zhang X, Xu J, Fan Y, Shi G, Chen B, Wang A, et al. Neutrophil extracellular traps aggravate neuronal apoptosis and neuroinflammation via neddylation after traumatic brain injury. Theranostics, 2025, 15(15): 7327-7345. [Crossref]
64. Sun X, Li L, Dong Q, Zhu J, Huang Y, Hou S, et al. Rutin prevents tau pathology and neuroinflammation in a mouse model of Alzheimer's disease. J Neuroinflammation, 2021, 18(1): 131-148. [Crossref]
65. Tangavelou K, Jiang S, Mandell M, & Bhaskar K. Mechanism of tau-mediated microglial NF-κB inhibitor IκBα degradation in Alzheimer's disease. Alzheimers Dement, 2024, 20(S8): e095143. [Crossref]
66. Chen Y, Chen Y, Tang C, Zhao Q, Xu T, Kang Q, et al. RPS4Y1 promotes high glucose-induced endothelial cell apoptosis and inflammation by activation of the p38 MAPK signaling. Diabetes Metab Syndr Obes, 2021, 14: 4523-4534. [Crossref]
67. Zhang Y, Wang L, Guo H, Han T, Chang Y, & Cui X. Levetiracetam attenuates diabetes-associated cognitive impairment and microglia polarization by suppressing neuroinflammation. Front Pharmacol, 2023, 14: 1145819. [Crossref]
68. Sun H, Gao X, Niu J, Chen P, He S, Xu S, et al. AD-like neuropsychiatric dysfunction in a mice model induced by a combination of high-fat diet and intraperitoneal injection of streptozotocin. eNeuro, 2024, 11(12): EN-EURO.0310-24.2024. [Crossref]
69. Darwish R, Alcibahy Y, Bucheeri S, Albishtawi A, Tama M, Shetty J, et al. The role of hypothalamic microglia in the onset of insulin resistance and type 2 diabetes: a neuroimmune perspective. Int J Mol Sci, 2024, 25(23): 13169. [Crossref]
70. Piątkowska-Chmiel I, Herbet M, Gawrońska-Grzywacz M, & Dudka J. Regulation of neuroinflammatory signaling by PPARγ agonist in mouse model of diabetes. Int J Mol Sci, 2022, 23(10): 5502-5532. [Crossref]
71. Huang Z, Chu W, Ng T, Chen S, Liang J, Chen C, et al. Protective effects of nattokinase against microvasculopathy and neuroinflammation in diabetic retinopathy. J Diabetes, 2023, 15(10): 866-880. [Crossref]
72. Xu D, Zhang X, Liu S, Wei J, Zhan J, Du J, et al. KLK8/HGF/Met signaling pathway mediates diabetes-associated hippocampal neuroinflammation in male mice. Theranostics, 2025, 15(13): 6290-6312. [Crossref]
73. Phan Van T, Huyen Ton Nu Bao T, Leya M, Zhou Z, Jeong H, Lim C, et al. Amlexanox attenuates LPS-induced neuroinflammatory responses in microglial cells via inhibition of NF-κB and STAT3 signaling pathways. Sci Rep, 2024, 14(1): 2744-2758. [Crossref]
74. Xu F, Zhang H, Chen X, Duan C, Gu Q, & Hu J. A novel YTHDF2/SIGMAR1 axis in astrocytes regulates neuroinflammation and cognitive impairment in diabetic encephalopathy. Inflammation, 2026, 49(1): 55-76. [Crossref]
75. Mo T, Zhuang X, Zhao W, Wang B, Wang Y, Ji W, et al. The novel IDO-1 inhibitor 3-047 combined with icaritin ameliorates neuroinflammation and diabetes-associated cognitive dysfunction with suppression of TLR4/MyD88/NF-κB signaling. Front Immunol, 2026, 17: 1704307. [Crossref]
76. Tang C, Liu D, & Zhu Z. Research progress of microglial surface receptors in perioperative neurocognitive disorders. Ibrain, 2024, 10(4): 450-461. [Crossref]
77. Bogacka J, Pawlik K, Ciapała K, Ciechanowska A, & Mika J. CC chemokine receptor 4 (CCR4) as a possible new target for therapy. Int J Mol Sci, 2022, 23(24): 15638. [Crossref]
78. Baldimtsi E, Papadopoulou-Marketou N, Jenmalm M, & Wahlberg J. The role of chemokines in type 1 diabetes-associated neuropathy. Endocrinol Diabetes Metab, 2023, 6(3): e419. [Crossref]
79. Ascaso P, Palanca A, Martinez-Hervás S, Sanz M, Ascaso J, Piqueras L, et al. Peripheral blood levels of CXCL10 are a useful marker for diabetic polyneuropathy in subjects with type 2 diabetes. Int J Clin Pract, 2021, 75(8): e14302. [Crossref]
80. Wang C, Wang J, Zhu Z, Hu J, & Lin Y. Spotlight on pro-inflammatory chemokines: regulators of cellular communication in cognitive impairment. Front Immunol, 2024, 15: 1421076. [Crossref]
81. Rodriguez D, Church K, Pietramale A, Cardona S, Vanegas D, Rorex C, et al. Fractalkine isoforms differentially regulate microglia-mediated inflammation and enhance visual function in the diabetic retina. J Neuroinflammation, 2024, 21(1): 42-68. [Crossref]
82. Jiang M, Xie H, Zhang C, Wang T, Tian H, Lu L, et al. Enhancing fractalkine/CX3CR1 signalling pathway can reduce neuroinflammation by attenuating microglia activation in experimental diabetic retinopathy. J Cell Mol Med, 2022, 26(4): 1229-1244. [Crossref]
83. Bober A, Piotrowska A, Pawlik K, Ciapała K, Maciuszek M, Makuch W, et al. A new application for cenicriviroc, a dual CCR2/CCR5 antagonist, in the treatment of painful diabetic neuropathy in a mouse model. Int J Mol Sci, 2024, 25(13): 7410-7428. [Crossref]
84. Chen X, Fan M, Xiao Z, & Xiong X. Dapagliflozin improves high-fat diet-induced cognitive impairment in female mice. Brain Behav, 2025, 15(2): e70361. [Crossref]
85. Kim J, Park J, Shah K, Mitchell S, Cho K, & Hoe H. The anti-diabetic drug gliquidone modulates lipopolysaccharide-mediated microglial neuroinflammatory responses by inhibiting the NLRP3 inflammasome. Front Aging Neurosci, 2021, 13: 754123. [Crossref]
86. Jiao X, & Tian G. Role of the NLRP3 inflammasome in diabetes and its complications (Review). Mol Med Rep, 2025, 32(5): 292. [Crossref]
87. Kodi T, Sankhe R, Gopinathan A, Nandakumar K, & Kishore A. New insights on NLRP3 inflammasome: mechanisms of activation, inhibition, and epigenetic regulation. J Neuroimmune Pharmacol, 2024, 19(1): 7-21. [Crossref]
88. Lafrenière N, Thakur K, Agbayani G, Hewitt M, Baumann K, Sandhu J, et al. Characterization of the proteomic response in SIM-A9 murine microglia following canonical NLRP3 inflammasome activation. Int J Mol Sci, 2026, 27(2): 689-701. [Crossref]
89. He K, Yu X, Xia L, Xie Y, Qi E, Wan L, et al. A new perspective on the regulation of neuroinflammation in intracerebral hemorrhage: mechanisms of NLRP3 inflammasome activation and therapeutic strategies. Front Immunol, 2025, 16: 1526786. [Crossref]
90. Li J, Zheng Z, Zhang X, Shen L, Xue C, Lu L, et al. Mechanistic of LRRK2-mediated pyroptosis via the NLRP3/Caspase-1/GSDMD pathway in Parkinson's disease progression. Inflammation, 2026, 49(1): 118-129. [Crossref]
91. Luo E, Li Z, Zhang S, Wen Y, Yang Z, Zeng H, et al. Hyperglycemia induces microglial pyroptosis by increasing oxygen extraction rate: implication in neurological impairment during ischemic stroke. Mol Med Rep, 2024, 30(2): 146-158. [Crossref]
92. Li W, Fan Y, & Hussain S. Neuroprotective effects of sinomenine and metformin in diabetic stroke: role of NLRP3/caspase-1 and mitophagy. Exp Physiol, 2026, 111(2): 489-500. [Crossref]
93. Zhu H, Xiao F, Xiao Y, Guo Y, Shan X, Zhang Z, et al. Targeting CB2R in astrocytes for Parkinson's disease therapy: unraveling the Foxg1-mediated neuroprotective mechanism through autophagy-mediated NLRP3 degradation. J Neuroinflammation, 2023, 20(1): 304-323. [Crossref]
94. Zengeler K, Hollis A, Deutsch T, Samuels J, Ennerfelt H, Moore K, et al. Inflammasome signaling in astrocytes modulates hippocampal plasticity. Immunity, 2025, 58(6): 1519-1535.e11. [Crossref]
95. Filannino F, Ruggiero M, Panaro M, Lofrumento D, Trotta T, Benameur T, et al. Irisin attenuates neuroinflammation targeting the NLRP3 inflammasome. Molecules, 2024, 29(23): 5623-5639. [Crossref]
96. Chong Z, & Souayah N. Oxidative stress: pathological driver in chronic neurodegenerative diseases. Antioxidants (Basel), 2025, 14(6): 696-712. [Crossref]
97. Jomova K, Raptova R, Alomar S, Alwasel S, Nepovimova E, Kuca K, et al. Reactive oxygen species, toxicity, oxidative stress, and antioxidants: chronic diseases and aging. Arch Toxicol, 2023, 97(10): 2499-2574. [Crossref]
98. Mukherjee A, Ghosh K, Chakrabortty S, Gulyás B, Padmanabhan P, & Ball WB. Mitochondrial reactive oxygen species in infection and immunity. Biomolecules, 2024, 14(6): 670-689. [Crossref]
99. Jurcau A. Insights into the pathogenesis of neurodegenerative diseases: focus on mitochondrial dysfunction and oxidative stress. Int J Mol Sci, 2021, 22(21): 11847. [Crossref]
100. Reed S, Taka E, Darling-Reed S, & Soliman KFA. Neuroprotective effects of metformin through the modulation of neuroinflammation and oxidative stress. Cells, 2025, 14(14): 1064-1078. [Crossref]
101. Hong S, Nagayach A, Lu Y, Peng H, Duong Q, Pham N, et al. A high fat, sugar, and salt Western diet induces motor-muscular and sensory dysfunctions and neurodegeneration in mice during aging: ameliorative action of metformin. CNS Neurosci Ther, 2021, 27(12): 1458-1471. [Crossref]
102. Bahr N, El-Kader A, Eldin A, Awadalla E, Demellawy M, & Ghareeb D. Combined purslane ethanolic extract and metformin attenuate cognitive dysfunction in HFD/STZ-induced diabetic rats via modulation of oxidative stress, neuroinflammation, and neurotransmitters. BMC Pharmacol Toxicol, 2026, 27(1): 73-85. [Crossref]
103. Kausar M, Parveen K, Anwar S, Khan Y, Saleh A, Ahmed M, et al. Neuroprotective potential of a plant-based intervention in diabetic neuropathy: biochemical and behavioral insights from a streptozotocin-induced rat model. World J Diabetes, 2026, 17(2): 113992. [Crossref]
104. Eltamany E, Badawy A, Hussien R, El-Ayouty M, Sallam A, Mehanna E, et al. Molecular insights of neuroprotective effect of Cornulaca monacantha extract against LPS-induced neuroinflammation supported by metabolic profiling and protein interaction analysis. Int J Mol Sci, 2026, 27(5): 2263-2276. [Crossref]
105. Swain S, Chandra Dash U, & Sahoo A. Hydrolea zeylanica improves cognitive impairment in high-fat diet fed-streptozotocin-induced diabetic encephalopathy in rats via regulating oxidative stress, neuroinflammation, and neurotransmission in brain. Heliyon, 2022, 8(11): e11301. [Crossref]
106. Martin M, Debenay E, Bardinel J, Peltier A, Pourtau L, Gaudout D, et al. Plant extracts and omega-3 supplementation modulate hippocampal oxylipin profile in response to LPS-induced neuroinflammation. Inflamm Res, 2024, 73(11): 2023-2042. [Crossref]
107. López-Pérez S, Ureña-Guerrero M, & Bañuelos-Pineda J. An extract of Hibiscus sabdariffa improves short-term memory in rats with experimental diabetic hyperglycemia. Nutr Neurosci, 2024, 27(10): 1102-1112. [Crossref]
108. Al-Sarray R, & Al-Shaeli S. Metformin and bee venom: a comparative detection of histological alteration of the pancreas and systemic inflammatory markers in diabetic mice. Arch Razi Inst, 2022, 77(6): 2335-2343. [Crossref]
109. Al-Shaeli S, Ethaeb A, & Al-Zaidi E. Serological and histological evaluation of the effect of honeybee venom on pancreas and liver in diabetic mice. Arch Razi Inst, 2022, 77(3): 1125-1131. [Crossref]
110. Zahran F, Mohamad A, & Zein N. Bee venom ameliorates cardiac dysfunction in diabetic hyperlipidemic rats. Exp Biol Med, 2021, 246(24): 2630-2644. [Crossref]
111. Rizzo M, Di Meo I, Polito R, Auriemma M, Gambardella A, di Mauro G, et al. Cognitive impairment and type 2 diabetes mellitus: focus of SGLT2 inhibitors treatment. Pharmacol Res, 2022, 176: 106062. [Crossref]
112. García-Casares N, González-González G, de la Cruz-Cosme C, Garzón-Maldonado F, de Rojas-Leal C, Ariza M, et al. Effects of GLP-1 receptor agonists on neurological complications of diabetes. Rev Endocr Metab Disord, 2023, 24(4): 655-672. [Crossref]
113. Piątkowska-Chmiel I, Gawrońska-Grzywacz M, Popiołek Ł, Herbet M, & Dudka J. The novel adamantane derivatives as potential mediators of inflammation and neural plasticity in diabetes mice with cognitive impairment. Sci Rep, 2022, 12(1): 6708-6721. [Crossref]
114. Ma Z, Jin K, Yue M, Chen X, & Chen J. Research progress on the GIP/GLP-1 receptor coagonist tirzepatide, a rising star in type 2 diabetes. J Diabetes Res, 2023, 2023: 5891532. [Crossref]
115. Alhowail A, Aldawsari M, & Aldubayan M. Comparative analysis of pioglitazone and tirzepatide on body weight, glucose levels, neuroinflammation, and oxidative stress in diabetic rats. Drug Des Devel Ther, 2025, 19: 6605-6618. [Crossref]
116. Videtta G, Sasia C, & Galeotti N. High rosmarinic acid content Melissa officinalis L. phytocomplex modulates microglia neuroinflammation induced by high glucose. Antioxidants, 2025, 14(2): 161-178. [Crossref]
117. Sriraksa N, Praman S, Kamsrijai U, Wanta A, Anukanon S, Inkaew P, et al. Neuroprotective effects of Tiliacora triandra (Colebr.) Diels leaf extract against lipopolysaccharide-induced memory impairment via anti-neuroinflammation. Biomed Rep, 2026, 24(6): 75-92. [Crossref]
118. Cukierman-Yaffe T, Gerstein H, Colhoun H, Diaz R, García Pérez L, Lakshmanan M, et al. Effect of dulaglutide on cognitive impairment in type 2 diabetes: an exploratory analysis of the REWIND trial. Lancet Neurol, 2020, 19(7): 582-590. [Crossref]
119. Edison P, Femminella G, Ritchie C, Nowell J, Holmes C, Walker Z, et al. Liraglutide in mild to moderate Alzheimer's disease: a phase 2b clinical trial. Nat Med, 2026, 32(1): 353-361. [Crossref]
120. Samaras K, Makkar S, Crawford J, Kochan N, Wen W, Draper B, et al. Metformin use is associated with slowed cognitive decline and reduced incident dementia in older adults with type 2 diabetes: the Sydney memory and ageing study. Diabetes Care, 2020, 43(11): 2691-2701. [Crossref]
121. Osman S, Purba W, Daramola O, Amin Bhuiyan M, Nwaiwu J, Fowowe M, et al. Positive impact of DPP-4 or SGLT2 inhibitors on mild cognitive impairment in type 2 diabetes patients on metformin therapy: a metabolomic mechanistic insight. Biomed Pharmacother, 2025, 182: 117771. [Crossref]
122. Enderami A, Shariati B, Zarghami M, Aliasgharian A, Ghazaiean M, & Darvishi-Khezri H. Metformin and cognitive performance in patients with type 2 diabetes: an umbrella review. Neuropsychopharmacol Rep, 2025, 45(1): e12528. [Crossref]
123. Gunawan P, Gunawan P, & Hariyanto T. Risk of dementia in patients with diabetes using sodium-glucose transporter 2 inhibitors (SGLT2i): a systematic review, meta-analysis, and meta-regression. Diabetes Ther, 2024, 15(3): 663-675. [Crossref]
124. Cummings J, Atri A, Sano M, Zetterberg H, Scheltens P, Knop F, et al. Efficacy and safety of oral semaglutide 14 mg (flexible dose) in early-stage symptomatic Alzheimer's disease (evoke and evoke+): two phase 3, randomised, placebo-controlled trials. Lancet, 2026, 407(10544): 2167-2179. [Crossref]
125. Monney M, Jornayvaz F, & Gariani K. GLP-1 receptor agonists effect on cognitive function in patients with and without type 2 diabetes. Diabetes Metab, 2023, 49(5): 101470. [Crossref]
126. Wilson J, Dage J, Qian H, Irelan C, Crowder H, Duffin K, et al. Dulaglutide and neurodegeneration biomarkers: REWIND post hoc analysis. Alzheimers Dement, 2026, 22(4): e71391. [Crossref]