<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.172489.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Mechanism of Metabolic Disorder and Endothelial Dysfunction in Alzheimer&#x2019;s Disease</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Sunday</surname>
                        <given-names>Bot Yakubu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8140-1276</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Terkimbi</surname>
                        <given-names>Swase Dominic</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4205-1880</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hidalgo</surname>
                        <given-names>Idania</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bunu</surname>
                        <given-names>Umi Omar</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Idehen</surname>
                        <given-names>Charles</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8736-3482</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Medical Laboratory Science, Kampala International University - Western Campus, Bushenyi, Western Region, 71, Ishaka, Uganda</aff>
                <aff id="a2">
                    <label>2</label>Biochemistry, Kampala International University - Western Campus, Bushenyi, Western Region, 71, Ishaka, Uganda</aff>
                <aff id="a3">
                    <label>3</label>Department of Pharmacy, Faculty of Health Science, Victoria University, Kampala, Uganda</aff>
                <aff id="a4">
                    <label>4</label>Department of Clinical Chemistry, Kampala International University - Western Campus, Bushenyi, Western Region, 71, Uganda</aff>
                <aff id="a5">
                    <label>5</label>Department of Public Health, Kampala International University - Western Campus, Bushenyi, Western Region, 71, Ishaka, Uganda</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:yakubu.bot@kiu.ac.ug">yakubu.bot@kiu.ac.ug</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>6</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1462</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>13</day>
                    <month>5</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Sunday BY et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-1462/pdf"/>
            <abstract>
                <p>Alzheimer&#x2019;s disease (AD) remains the most common cause of dementia worldwide and one of the greatest health challenges of the twenty-first century. Traditionally viewed as a neurodegenerative disorder defined by amyloid-&#x03b2; plaques and tau tangles, recent evidence implicates systemic metabolic dysfunction and endothelial injury as key drivers of the disease progression. Insulin resistance, dyslipidemia, and chronic hyperglycemia impair neuronal glucose utilization and insulin signaling, leading to mitochondrial dysfunction, oxidative stress, and tau hyperphosphorylation. Concurrently, abnormal lipid metabolism and the presence of the apolipoprotein E4 allele accelerate amyloidogenic processing, while advanced glycation end-products (AGEs) formed during hyperglycemia activate RAGE-mediated inflammatory pathways that amplify neuronal injury. Endothelial dysfunction further compounds these effects by reducing nitric oxide (NO) bioavailability, disrupting the blood&#x2013;brain barrier, and diminishing cerebral perfusion inhibiting amyloid clearance and intensifying neuroinflammation. These interconnected metabolic and vascular abnormalities establish a &#x201c;metabolic&#x2013;vascular&#x2013;neurodegenerative axis&#x201d; that links systemic disease to progressive neuronal degeneration. Understanding this integrative framework shifts the perspective of AD from a purely brain-centered disorder to a systemic, multi-organ pathology. Emerging therapeutic strategies that combine metabolic regulation, endothelial protection, and anti-inflammatory approaches offer a more comprehensive path toward prevention and disease modification. Future research and clinical interventions can achieve a sustained neuroprotection by addressing the metabolic and vascular roots of AD.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Alzheimer&#x2019;s disease</kwd>
                <kwd>metabolic dysfunction</kwd>
                <kwd>endothelial dysfunction</kwd>
                <kwd>insulin resistance</kwd>
                <kwd>oxidative stress</kwd>
                <kwd>amyloid-beta</kwd>
                <kwd>blood&#x2013;brain barrier</kwd>
                <kwd>neuroinflammation.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Not Applicable</funding-source>
                    <award-id>NotApplicable</award-id>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>The revised version of the manuscript has undergone restructuring as suggested by the reviewer to improve scientific depth, clarity, and mechanistic integration. The introduction was revised to emphasize Alzheimer&#x2019;s disease (AD) as a multisystem disorder with major socioeconomic implications, while incorporating the role of chronic low-grade inflammation in linking metabolic syndrome, oxidative stress, and neurodegeneration. References were added throughout the Introduction to support all scientific statements. A dedicated methodology section describing the literature search strategy, inclusion and exclusion criteria, and study selection process was also incorporated. Several new sections, figures, and tables were introduced to strengthen mechanistic discussion. A new a discussion on chronic low-grade inflammation and AD was added, together with updated schematic figures illustrating the relationship between metabolic dysfunction, endothelial injury, and neurodegeneration. Previous figures were redesigned to better represent insulin resistance as a systemic disorder affecting the brain and vascular endothelium. Additionally, new table summarizing AD and mechanisms of endothelial dysfunction was included to improve conceptual organization. Section 4 was expanded to provide a more detailed explanation of how systemic and cerebral insulin resistance impair PI3K/Akt-mediated endothelial nitric oxide signaling and cerebral perfusion. Shared molecular pathways were reorganized into clearer mechanistic discussions focusing on oxidative stress, AGE&#x2013;RAGE signaling, mitochondrial dysfunction, and inflammatory interactions but were not discussed separately to avoid redundancy. The therapeutic section was also broadened through the inclusion of metformin, pioglitazone (PPAR-&#x03b3; agonists), ceramide-targeting therapies, VEGF modulators, and sirtuin activators. Overall, the revised manuscript presents a more integrated metabolic&#x2013;vascular&#x2013;neurodegenerative framework for understanding AD pathogenesis and therapeutic intervention.</p>
            </sec>
        </notes>
    </front>
    <body>
        <def-list>
            <title>List of abbreviations</title>
            <def-item>
                <term id="G1">AD</term>
                <def>
                    <p>Alzheimer&#x2019;s Disease</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">A&#x03b2;</term>
                <def>
                    <p>Amyloid-beta</p>
                </def>
            </def-item>
            <def-item>
                <term id="G3">AGE</term>
                <def>
                    <p>Advanced Glycation End Product</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">ApoE</term>
                <def>
                    <p>Apolipoprotein E</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">ApoE4</term>
                <def>
                    <p>Apolipoprotein E epsilon-4 isoform</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">APP</term>
                <def>
                    <p>Amyloid Precursor Protein</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">ARB</term>
                <def>
                    <p>Angiotensin Receptor Blocker</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">BBB</term>
                <def>
                    <p>Blood&#x2013;Brain Barrier</p>
                </def>
            </def-item>
            <def-item>
                <term id="G9">BH4</term>
                <def>
                    <p>Tetrahydrobiopterin</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">CSF</term>
                <def>
                    <p>Cerebrospinal Fluid</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">eNOS</term>
                <def>
                    <p>Endothelial Nitric Oxide Synthase</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">FDG-PET
</term>
                <def>
                    <p>Fluorodeoxyglucose Positron Emission Tomography</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">HDL</term>
                <def>
                    <p>High-Density Lipoprotein</p>
                </def>
            </def-item>
            <def-item>
                <term id="G14">IDE</term>
                <def>
                    <p>Insulin-Degrading Enzyme</p>
                </def>
            </def-item>
            <def-item>
                <term id="G15">LDL</term>
                <def>
                    <p>Low-Density Lipoprotein</p>
                </def>
            </def-item>
            <def-item>
                <term id="G30">MAPK</term>
                <def>
                    <p>Mitogen-Activated Protein Kinase</p>
                </def>
            </def-item>
            <def-item>
                <term id="G16">MCI</term>
                <def>
                    <p>Mild Cognitive Impairment</p>
                </def>
            </def-item>
            <def-item>
                <term id="G17">MRI</term>
                <def>
                    <p>Magnetic Resonance Imaging</p>
                </def>
            </def-item>
            <def-item>
                <term id="G18">NF-&#x03ba;B</term>
                <def>
                    <p>Nuclear Factor Kappa B</p>
                </def>
            </def-item>
            <def-item>
                <term id="G19">NO</term>
                <def>
                    <p>Nitric Oxide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G20">PI3K</term>
                <def>
                    <p>Phosphoinositide 3-Kinase</p>
                </def>
            </def-item>
            <def-item>
                <term id="G21">p-tau
</term>
                <def>
                    <p>Phosphorylated Tau Protein</p>
                </def>
            </def-item>
            <def-item>
                <term id="G22">RAGE</term>
                <def>
                    <p>Receptor for Advanced Glycation End Products</p>
                </def>
            </def-item>
            <def-item>
                <term id="G23">ROS</term>
                <def>
                    <p>Reactive Oxygen Species</p>
                </def>
            </def-item>
            <def-item>
                <term id="G24">SASP</term>
                <def>
                    <p>Senescence-Associated Secretory Phenotype</p>
                </def>
            </def-item>
            <def-item>
                <term id="G25">sPDGFR&#x03b2;</term>
                <def>
                    <p>Soluble Platelet-Derived Growth Factor Receptor Beta</p>
                </def>
            </def-item>
            <def-item>
                <term id="G26">T2D</term>
                <def>
                    <p>Type 2 Diabetes Mellitus</p>
                </def>
            </def-item>
            <def-item>
                <term id="G27">t-tau
</term>
                <def>
                    <p>Total Tau Protein</p>
                </def>
            </def-item>
            <def-item>
                <term id="G28">TNF-&#x03b1;</term>
                <def>
                    <p>Tumor Necrosis Factor Alpha</p>
                </def>
            </def-item>
            <def-item>
                <term id="G29">ZO-1</term>
                <def>
                    <p>Zonula Occludens-1</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec1" sec-type="intro">
            <title>1.0 Introduction</title>
            <p>Alzheimer&#x2019;s disease (AD) is the most common cause of dementia, accounting for approximately 60&#x2013;70% of dementia cases globally. According to recent estimates, more than 55 million people worldwide are living with dementia, and this number is projected to exceed 139 million by 2050 due to population aging and increasing life expectancy (
                <xref ref-type="bibr" rid="ref62">World Health Organization, 2021</xref>). AD represents one of the most significant public health, socioeconomic, and clinical challenges of the 21st century. The disease is characterized by progressive memory impairment, executive dysfunction, behavioral disturbances, and cognitive decline, leading to loss of independence, institutionalization, and increased mortality (
                <xref ref-type="bibr" rid="ref63">Safiri S, et al., 2024</xref>). AD imposes economic and social costs on patients, caregivers, healthcare systems, and national economies, with global dementia-related healthcare expenditures estimated to exceed one trillion US dollars annually.</p>
            <p>Traditionally, AD was primarily regarded as a neurodegenerative disorder characterized by extracellular deposition of amyloid-beta (A&#x03b2;) plaques and intracellular accumulation of hyperphosphorylated tau protein forming neurofibrillary tangles (
                <xref ref-type="bibr" rid="ref64">Abdulkhaliq AA, et al., 2026</xref>). These pathological processes contribute to synaptic dysfunction, neuronal loss, and progressive cognitive deterioration. However, despite extensive therapeutic efforts targeting amyloid and tau pathology, clinical benefits have remained modest, suggesting that AD pathogenesis extends beyond classical neuronal abnormalities alone (
                <xref ref-type="bibr" rid="ref65">Zhang J, 2025 et al., 2025</xref>).</p>
            <p>Accumulating evidence suggest that AD as a complex multisystem disorder involving metabolic, vascular, inflammatory, and immunological dysfunction (
                <xref ref-type="bibr" rid="ref69">Christodoulou RC, et al., 2026</xref>). Epidemiological studies have demonstrated that metabolic disorders such as type 2 diabetes mellitus, obesity, dyslipidemia, insulin resistance, and metabolic syndrome significantly increase the risk of AD development and progression (
                <xref ref-type="bibr" rid="ref66">Chandrasekaran P, et al., 2024</xref>). These metabolic abnormalities disrupt cerebral glucose metabolism, impair insulin signaling pathways, alter mitochondrial energy production, and increase oxidative stress within neuronal tissues. Furthermore, chronic low-grade inflammation associated with metabolic syndrome promotes cytokine dysregulation, endothelial injury, and sustained neuroinflammatory activation (
                <xref ref-type="bibr" rid="ref63">Safiri S, et al., 2024</xref>).</p>
            <p>Furthermore, endothelial dysfunction and vascular impairment have emerged as important contributors to AD progression. Cerebral endothelial cells regulate cerebral blood flow, maintain blood&#x2013;brain barrier (BBB) integrity, and preserve neuronal homeostasis (
                <xref ref-type="bibr" rid="ref67">Kim S, et al., 2025</xref>). Endothelial dysfunction disrupts BBB permeability, impairs cerebral perfusion, reduces clearance of neurotoxic proteins such as A&#x03b2;, and facilitates inflammatory cell infiltration into the brain microenvironment. Chronic vascular injury also contributes to oxidative stress, ischemic damage, impaired neuronal metabolism, and synaptic dysfunction (
                <xref ref-type="bibr" rid="ref68">Yue Q, et al., 2024</xref>).</p>
            <p>Systemic metabolic abnormalities amplify oxidative stress, inflammation, and vascular dysfunction, while endothelial impairment further compromises cerebral glucose utilization and neuronal survival. This interaction creates a self-perpetuating cycle of metabolic stress, vascular injury, neuroinflammation, and progressive neurodegeneration (
                <xref ref-type="bibr" rid="ref69">Christodoulou RC, et al., 2026</xref>). Studies have independently examined metabolic dysfunction or vascular impairment in AD, fewer reviews have comprehensively integrated these mechanisms with classical amyloid and tau pathology (
                <xref ref-type="bibr" rid="ref70">Zhang, et al., 2024</xref>). Therefore, this review aims to synthesize current evidence regarding the mechanistic links between metabolic disorders, endothelial dysfunction, and Alzheimer&#x2019;s disease progression.</p>
        </sec>
        <sec id="sec2">
            <label>2.0</label>
            <title>Methodology</title>
            <sec id="sec2.1">
                <label>2.1</label>
                <title>Literature search strategy</title>
                <p>This narrative review was conducted through a comprehensive literature search aimed at identifying studies related to metabolic dysfunction, endothelial dysfunction, and Alzheimer&#x2019;s disease (AD). Electronic databases including PubMed/MEDLINE, Scopus, Web of Science, Google Scholar, and ScienceDirect were searched for relevant articles published between 2000 and 2026. Additional articles were identified through manual screening of reference lists from eligible studies. The search strategy combined Medical Subject Headings (MeSH) terms and free-text keywords related to AD pathogenesis and metabolic dysfunction. The main search terms included: &#x201c;Alzheimer&#x2019;s disease,&#x201d; &#x201c;metabolic dysfunction,&#x201d; &#x201c;insulin resistance,&#x201d; &#x201c;type 2 diabetes,&#x201d; &#x201c;endothelial dysfunction,&#x201d; &#x201c;oxidative stress,&#x201d; &#x201c;advanced glycation end-products,&#x201d; &#x201c;AGE-RAGE signaling,&#x201d; &#x201c;mitochondrial dysfunction,&#x201d; &#x201c;cerebral perfusion,&#x201d; &#x201c;blood&#x2013;brain barrier,&#x201d; &#x201c;neuroinflammation,&#x201d; &#x201c;amyloid-beta,&#x201d; &#x201c;tau phosphorylation,&#x201d; and &#x201c;vascular pathology.&#x201d; Boolean operators such as &#x201c;AND&#x201d; and &#x201c;OR&#x201d; were used to refine the search and improve retrieval of relevant studies.</p>
            </sec>
            <sec id="sec2.2">
                <label>2.2</label>
                <title>Inclusion criteria</title>
                <p>Studies were included if they:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Investigated the relationship between metabolic dysfunction and Alzheimer&#x2019;s disease.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Examined endothelial dysfunction, vascular injury, or cerebral perfusion abnormalities in AD.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Reported mechanistic, experimental, clinical, epidemiological, or therapeutic findings related to metabolic and vascular pathways in AD.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Were published in peer-reviewed journals in English.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Included animal studies, human studies, clinical trials, systematic reviews, and meta-analyses relevant to the topic.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec2.3">
                <label>2.3</label>
                <title>Exclusion criteria</title>
                <p>Studies were excluded if they:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Were unrelated to Alzheimer&#x2019;s disease or metabolic/endothelial dysfunction.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Focused exclusively on non-neurodegenerative disorders without relevance to AD mechanisms.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Were conference abstracts, editorials, commentaries, unpublished reports, or duplicate studies.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Lacked sufficient methodological or scientific detail.</p>
                        </list-item>
                        <list-item>
                            <label>&#x25cb;</label>
                            <p>Were published in languages other than English.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec2.4">
                <label>2.4</label>
                <title>Study selection process</title>
                <p>Titles and abstracts retrieved from the database search were screened for relevance to the review topic. Full-text articles of potentially eligible studies were then assessed based on the inclusion and exclusion criteria. Priority was given to recent studies, high-quality mechanistic investigations, clinical trials, systematic reviews, and landmark studies that provided substantial evidence on the metabolic&#x2013;vascular&#x2013;neurodegenerative axis in Alzheimer&#x2019;s disease. Relevant data were synthesized narratively to provide an integrated understanding of the molecular mechanisms, pathological interactions, and emerging therapeutic strategies linking metabolic dysfunction and endothelial injury to AD progression.</p>
            </sec>
        </sec>
        <sec id="sec3">
            <title>3.0 Metabolic dysfunction in Alzheimer&#x2019;s disease</title>
            <p>Metabolic dysfunction plays a central role in the pathogenesis and progression of Alzheimer&#x2019;s disease through interconnected mechanisms involving impaired glucose metabolism, oxidative stress, lipid dysregulation, and chronic inflammation, as illustrated in 
                <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
            <sec id="sec3.1">
                <title>3.1 Insulin resistance and brain energy deficit</title>
                <p>The brain constitute about 2% of body weight, however it consumes approximately 20% of the body&#x2019;s glucose-derived energy. This high metabolic demand makes it vulnerable to disruptions in glucose utilization. Insulin signaling in the brain play an important roles beyond glucose uptake. It regulates synaptic plasticity, neurotransmitter release, and neuronal survival through pathways such as phosphoinositide 3-kinase (PI3K)/Akt and mitogen-activated protein kinase (MAPK). In AD, impaired insulin receptor function and downregulation of insulin receptor substrate proteins disrupt these signaling cascades (
                    <xref ref-type="bibr" rid="ref48">Seo et al., 2024</xref>). These dysfunctions have been associated with reduced neuronal glucose uptake and utilization, resulting to cerebral hypometabolism. Fluorodeoxyglucose positron emission tomography (FDG-PET) has demonstrated reduced glucose metabolism in the posterior cingulate, parietal, and temporal cortices, years before the onset of clinical symptoms (
                    <xref ref-type="bibr" rid="ref33">Mart&#x00ed;n-Saladich et al., 2025</xref>). Additionally, insulin resistance contributes directly to AD pathology with reduced insulin signaling decreases Akt activity, which normally inhibits glycogen synthase kinase-3&#x03b2; (GSK-3&#x03b2;). Overactivation of GSK-3&#x03b2; leads to tau hyperphosphorylation and the formation of neurofibrillary tangles. Similarly, impaired insulin signaling reduces clearance of amyloid-beta (A&#x03b2;) by downregulating insulin-degrading enzyme (IDE), allowing toxic peptide accumulation. This dual effect promotion of tau pathology and reduced A&#x03b2; clearance creates a pathological synergy that increase the risk of neurodegeneration. For example, obesity, metabolic syndrome, and type 2 diabetes (T2D) have been reported to increase the risk of cognitive decline, vascular dementia, and Alzheimer&#x2019;s disease (
                    <xref ref-type="bibr" rid="ref75">J. E. Jun et al., 2026</xref>). Evidence from epidemiological, clinical, and basic research shows that neural dysfunction in T2D is driven by metabolic disturbances, inflammation, vascular injury, and oxidative stress (
                    <xref ref-type="bibr" rid="ref24">Jayaraman &amp; Pike, 2014</xref>). Key modifiers include apolipoprotein E, a genetic risk factor, and low testosterone, an age-related endocrine change, both of which independently heighten Alzheimer&#x2019;s risk and may synergistically worsen T2D-related neural damage. Moreover, hyperinsulinemia and elevated fasting glucose levels correlate with greater amyloid deposition and worse cognitive performance (
                    <xref ref-type="bibr" rid="ref54">Va&#x0148;kov&#x00e1; et al., 2023</xref>).</p>
            </sec>
            <sec id="sec3.2">
                <title>3.2 Mitochondrial dysfunction and oxidative stress</title>
                <p>In insulin-resistant states, neurons experience impaired oxidative phosphorylation, leading to reduced ATP generation and insufficient energy supply to synapses as presented in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>. This chronic energy deficit affects neuronal communication and resilience (
                    <xref ref-type="bibr" rid="ref57">Yuan et al., 2024</xref>). Impaired mitochondrial function increases electron leakage from the electron transport chain, particularly at complexes I and III. The resulting overproduction of reactive oxygen species (ROS) initiates a cascade of oxidative damage, targeting mitochondrial DNA, structural proteins, and membrane lipids. These changes compromise mitochondrial integrity, destabilize membranes, and promote the release of pro-apoptotic factors, ultimately driving neuronal apoptosis. Evidence from postmortem AD brains supports this mechanism, consistently showing altered mitochondrial morphology and reduced respiratory chain activity. Recent experimental work in mouse models of AD, mitochondrial redox stress measured with genetically encoded mt-roGFP sensors was elevated in neurons near amyloid plaques, with redox ratios rising by more than 30% compared to controls (
                    <xref ref-type="bibr" rid="ref6">Calvo-Rodriguez et al., 2024</xref>). Pharmacological interventions targeting mitochondrial calcium uptake or employing the antioxidant SS-31 normalized these redox signals and reduced plaque-associated neuritic damage, despite no reduction in plaque burden. Human imaging studies corroborate these findings with PET scans using [
                    <sup>18</sup>F]BCPP-EF demonstrated reduced complex I availability in medial temporal regions of patients with mild AD, correlating with tau pathology and cognitive decline (
                    <xref ref-type="bibr" rid="ref51">Terada et al., 2021</xref>). This suggests that mitochondrial dysfunction is linked to tau-driven neurodegeneration. Genetic models also highlight causality with targeted disruption of the complex I subunit Ndufs4 in mice induced AD-like transcriptomic changes in the hippocampus, including alterations in synaptic and energy metabolism pathways (
                    <xref ref-type="bibr" rid="ref22">Gao et al., 2025</xref>). Treatment with a complex I modulator partially reversed these molecular signatures, indicating that mitochondrial dysfunction alone can initiate neurodegenerative cascades and is pharmacologically tractable (
                    <xref ref-type="bibr" rid="ref57">Yuan et al., 2024</xref>).</p>
            </sec>
            <sec id="sec3.3">
                <title>3.3 Dyslipidemia and cholesterol metabolism</title>
                <p>Abnormal lipid metabolism is one the major contributor to the pathogenesis of Alzheimer&#x2019;s disease (AD). Dyslipidemia, characterized by increase low-density lipoprotein (LDL) cholesterol and reduced high-density lipoprotein (HDL), disrupts neuronal membrane composition and lipid raft stability. These lipid microdomains are important for synaptic signaling and amyloid precursor protein (APP) processing. High cholesterol levels favor amyloidogenic cleavage of APP by &#x03b2;- and &#x03b3;-secretases, enhancing the generation of amyloid-beta (A&#x03b2;) peptides that aggregate into plaques. Apolipoprotein E (ApoE), particularly the ApoE4 isoform, plays a central role in cholesterol transport within the brain. Unlike ApoE2 or ApoE3, ApoE4 impairs lipid redistribution to neurons, prevent synaptic repair, and increase A&#x03b2; aggregation and deposition. Clinical evidence demonstrates that ApoE4 carriers have greater cortical amyloid burden and earlier onset of AD, accompanied by faster rates of cognitive decline. Hypercholesterolemia further stimulate vascular stiffness and reduces cerebral perfusion, compounding the combined effects of vascular and neurodegenerative injury (
                    <xref ref-type="bibr" rid="ref41">Raulin et al., 2022</xref>). In human cohorts, midlife hypercholesterolemia has been associated with increased late-life A&#x03b2; burden on PET imaging and faster progression to dementia, while statin exposure correlates with reduced AD risk, particularly among ApoE4 carriers (
                    <xref ref-type="bibr" rid="ref37">Panitch et al., 2021</xref>). ApoE4 knock-in mice subjected to high-fat/high-cholesterol diets exhibit increased A&#x03b2; deposition in cortical and hippocampal regions, worsened cerebral amyloid angiopathy, and reduced cerebral blood flow compared to ApoE3 controls (
                    <xref ref-type="bibr" rid="ref14">Ding et al., 2025</xref>). In vitro, increase membrane cholesterol in cultured neurons shifts APP processing toward the amyloidogenic pathway, while lipid raft disruption reduces A&#x03b2; generation. These findings emphasize dyslipidemia as amplifier of amyloid pathology and contributes to vascular dysfunction that synergizes with neurodegeneration (
                    <xref ref-type="bibr" rid="ref45">Rudajev &amp; Novotny, 2022</xref>).</p>
            </sec>
            <sec id="sec3.4">
                <title>3.4 Advanced Glycation End Products (AGEs) and neuroinflammation</title>
                <p>Chronic hyperglycemia, as observed in diabetes and metabolic syndrome increased non-enzymatic glycation of proteins and lipids, producing advanced glycation end products (AGEs). These AGEs form cross-links in extracellular matrix proteins, stiffening cerebral vasculature and impairing blood&#x2013;brain barrier (BBB) integrity. AGEs act as potent pro-inflammatory mediators by binding to the receptor for advanced glycation end products (RAGE) on microglia, astrocytes, and endothelial cells. Engagement of the AGE&#x2013;RAGE axis triggers NF-&#x03ba;B activation, which upregulates cytokines such as TNF-&#x03b1;, IL-1&#x03b2;, and IL-6. This chronic inflammatory environment enhances oxidative stress, promotes A&#x03b2; accumulation, and accelerates tau hyperphosphorylation. Additionally, Persistent low-grade inflammation contribute to the progression of Alzheimer&#x2019;s disease (AD), particularly among individuals with obesity, metabolic syndrome, and type 2 diabetes mellitus (
                    <xref ref-type="bibr" rid="ref71">Ezkurdia A, et al., 2023</xref>). Excess adipose tissue promotes continuous release of inflammatory mediators such as TNF-&#x03b1;, IL-6, and IL-1&#x03b2;, creating a systemic inflammatory environment that extends beyond peripheral tissues and affects the brain. This prolonged inflammatory state alters vascular function, disrupts metabolic homeostasis, and increases susceptibility to neurodegeneration.</p>
                <p>Furthermore, AGEs also accumulate with aging, meaning metabolic disorders intensify a process already driven by senescence, pushing the system toward neurodegeneration. Clinical data demonstrate that elevated circulating AGE levels correlate with poorer executive function and faster cognitive decline, underscoring their value as both biomarkers and mechanistic drivers of AD progression (
                    <xref ref-type="bibr" rid="ref59">Zoccali et al., 2025</xref>). In human studies, serum AGE indices and skin autofluorescence have been directly linked to cognitive impairment in diabetic and elderly cohorts (
                    <xref ref-type="bibr" rid="ref35">Mooldijk et al., 2024</xref>). In transgenic mouse models, crossing APP/PS1 lines with diabetic db/db mice elevates cortical AGE accumulation, microglial activation, and BBB disruption, while RAGE blockade reduces neuroinflammation and amyloid deposition (
                    <xref ref-type="bibr" rid="ref25">Jeong et al., 2022</xref>). At the cellular level, AGE-modified albumin exposure to microglia or endothelial cells activates NF-&#x03ba;B signaling and cytokine release, effects that are significantly attenuated when RAGE is silenced or pharmacologically inhibited. These findings highlight AGEs as a pivotal link between systemic hyperglycemia and central neuroinflammation in AD pathogenesis (
                    <xref ref-type="bibr" rid="ref42">Rezaee et al., 2024</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Metabolic dysfunction and chronic low-grade inflammation in Alzheimer&#x2019;s disease progression.</title>
                        <p>The figure illustrates how insulin resistance, mitochondrial dysfunction, dyslipidemia, advanced glycation end products (AGEs), and chronic low-grade inflammation contribute to amyloid-beta accumulation, tau pathology, oxidative stress, neuronal injury, vascular dysfunction, and cognitive decline in Alzheimer&#x2019;s disease.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/201376/833f1357-9c6b-465b-b5aa-f09fbefe319b_figure1.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec4.0">
            <title>4.0 Endothelial dysfunction in Alzheimer&#x2019;s disease</title>
            <p>Endothelial dysfunction is a major contributor to Alzheimer&#x2019;s disease progression through mechanisms involving blood&#x2013;brain barrier disruption, impaired cerebral perfusion, oxidative stress, and vascular inflammation, as summarized in 
                <xref ref-type="table" rid="T1">
Table 1</xref>.</p>
            <sec id="sec4.1">
                <title>4.1 Role of endothelium in brain homeostasis</title>
                <p>The vascular endothelium is fundamental to brain homeostasis, regulating blood flow, nutrient exchange, and blood&#x2013;brain barrier (BBB) integrity. In the healthy brain, endothelial cells form tight junctions (claudins, occludins, ZO-1) that prevent uncontrolled leakage of plasma proteins and toxins. It allows regulated transport of essential molecules such as glucose through transporters like GLUT1 (
                    <xref ref-type="bibr" rid="ref52">Tomic et al., 2022</xref>). They also secrete vasoactive molecules including nitric oxide (NO) and prostacyclin, which maintain vascular tone and ensure adequate oxygen and nutrient delivery to regions of high neuronal activity. In individuals with chronic hypertension or diabetes, endothelial dysfunction results in reduced NO bioavailability, impaired vasodilation, and hypoperfusion of brain regions such as the hippocampus. This chronic hypoperfusion contributes to neuronal stress and increase the risk of cognitive decline. Similarly, reduced expression of GLUT1 in endothelial cells has been documented in AD patients, leading to energy deficits and impaired synaptic function (
                    <xref ref-type="bibr" rid="ref56">Yang et al., 2024</xref>). Endothelial cells express transporters such as low-density lipoprotein receptor&#x2013;related protein 1 (LRP1), which mediates amyloid-beta (A&#x03b2;) clearance from the brain to circulation. When this system fails, A&#x03b2; accumulates in the brain parenchyma, forming plaques that drive AD pathology. A well-documented example is seen in APOE4 carriers, where impaired endothelial A&#x03b2; clearance accelerates plaque formation and correlates with early-onset cognitive decline (
                    <xref ref-type="bibr" rid="ref12">Darabi et al., 2025</xref>). A study using APP/PS1 mice crossed with endothelial nitric oxide synthase deficient (eNOS+/&#x2212;) mice demonstrated that partial loss of eNOS worsens Alzheimer&#x2019;s pathology. Compared with standard APP/PS1 mice, APP/PS1/eNOS+/&#x2212; mice showed more severe spatial memory deficits, increased amyloid-beta (A&#x03b2;) plaque burden, upregulated BACE-1 (enhancing A&#x03b2; production), reduced insulin-degrading enzyme (limiting A&#x03b2; clearance), and increased microglial activation (
                    <xref ref-type="bibr" rid="ref1">Ahmed et al., 2022</xref>). A clinical study of 55 elderly participants showed that in MCI, the BBB was selectively more permeable to small molecules (e.g., water), but not to larger molecules like albumin. Increased permeability to water correlated with Alzheimer&#x2019;s disease (AD) biomarkers (CSF A&#x03b2;, ptau) and predicted worse cognitive performance. In contrast, albumin permeability was associated with vascular risk factors, particularly hypercholesterolemia, but not AD pathology (
                    <xref ref-type="bibr" rid="ref27">Lin et al., 2021</xref>).</p>
            </sec>
            <sec id="sec4.2">
                <title>4.2 Endothelial Nitric Oxide Synthase (eNOS) dysfunction</title>
                <p>Endothelial nitric oxide synthase (eNOS) is a key regulator of cerebrovascular health, responsible for generating nitric oxide (NO), a vasodilator that maintains cerebral blood flow. It also responsible for regulating vascular tone, and modulates amyloid beta (A&#x03b2;) clearance across the blood&#x2013;brain barrier (BBB). In Alzheimer&#x2019;s disease (AD), eNOS activity is frequently impaired, leading to reduced NO bioavailability (
                    <xref ref-type="bibr" rid="ref53">Tran et al., 2022</xref>). This deficiency promotes vascular stiffness, endothelial dysfunction, and inadequate perfusion of neural tissue, creating an environment that increase neurodegeneration. The pathogenesis involves eNOS uncoupling, in which the enzyme shifts from producing NO to generating superoxide radicals due to deficiency of cofactors such as tetrahydrobiopterin (BH4) (
                    <xref ref-type="bibr" rid="ref23">Janaszak-Jasiecka et al., 2023</xref>). This impair vasodilatory capacity and amplifies oxidative stress through increased reactive oxygen species (ROS). Excess ROS further damages endothelial cells, oxidizes lipids, and enhances inflammatory signaling, creating a vicious cycle of vascular injury. In experimental studies, APP/PS1 transgenic mice with partial eNOS deficiency (APP/PS1/eNOS+/&#x2212;) exhibited markedly higher A&#x03b2; deposition and more severe spatial memory deficits compared to APP/PS1 mice with intact eNOS. Mechanistic studies revealed upregulation of &#x03b2;-secretase (BACE-1), leading to greater A&#x03b2; production, and downregulation of insulin-degrading enzyme, reducing A&#x03b2; clearance (
                    <xref ref-type="bibr" rid="ref31">Ma et al., 2025</xref>). Increased microglial activation in these models further indicate the role of eNOS dysfunction in amplifying neuroinflammation and AD progression. Clinically, reduced eNOS activity has been associated with endothelial stiffness and impaired cerebral autoregulation in elderly individuals at risk for cognitive decline. Polymorphisms in the NOS3 gene (encoding eNOS) have also been linked to increased AD susceptibility, highlighting genetic contributions to endothelial dysfunction (
                    <xref ref-type="bibr" rid="ref2">An et al., 2021</xref>).</p>
            </sec>
            <sec id="sec4.3">
                <title>4.3 Blood&#x2013;Brain Barrier (BBB) breakdown</title>
                <p>In Alzheimer&#x2019;s disease (AD), systemic metabolic disorders including diabetes, obesity, and dyslipidemia increase the risk of BBB vulnerability by inducing chronic inflammation, oxidative stress, and endothelial injury (
                    <xref ref-type="bibr" rid="ref15">Dotiwala et al., 2023</xref>). This occurs as a results of disruption of tight junction proteins leading to increased vascular permeability. This process allows plasma proteins (e.g., fibrinogen, albumin) and peripheral immune cells to infiltrate the brain parenchyma. These infiltrates interact with amyloid precursor protein (APP) metabolism, accelerating amyloid-beta (A&#x03b2;) deposition and plaque formation. For example, fibrinogen binds directly to A&#x03b2;, enhancing aggregation and impairing microglial clearance, while albumin leakage alters osmotic balance and promotes local inflammation (
                    <xref ref-type="bibr" rid="ref49">Sim&#x00f5;es-Pires et al., 2025</xref>). For example, a study of 62 patients with mild cognitive impairment or dementia found that blood&#x2013;brain barrier (BBB) permeability measured by MRI was associated with Alzheimer&#x2019;s biomarkers (
                    <xref ref-type="bibr" rid="ref36">Moon Y et al., 2023</xref>). In amyloid-positive patients, higher BBB leakage was linked to lower A&#x03b2;40, altered A&#x03b2;42/40 ratio, reduced p-tau, and smaller hippocampal volume. In amyloid-negative patients, BBB leakage was associated with higher total tau (
                    <xref ref-type="bibr" rid="ref36">Moon et al., 2023</xref>). Similarly, pericyte injury, indicated by elevated soluble platelet-derived growth factor receptor-&#x03b2; (sPDGFR&#x03b2;) in CSF, strongly correlated with BBB dysfunction and memory decline (
                    <xref ref-type="bibr" rid="ref30">Lv et al., 2023</xref>). Experimentally, in diabetic db/db mice, chronic hyperglycemia was shown to downregulate claudin-5 and occludin expression, causing BBB leakage and increased amyloid deposition in the hippocampus. In another study (
                    <xref ref-type="bibr" rid="ref43">Rom et al., 2020</xref>). Additionally, entry of thrombin and fibrinogen into the parenchyma activates microglia and astrocytes, promoting pro-inflammatory cytokine release (IL-1&#x03b2;, TNF-&#x03b1;) and worsening synaptic dysfunction. Plasma-derived albumin leaking into the brain binds to astrocytic TGF-&#x03b2; receptors, promoting excitotoxicity and epileptiform activity nphenomena observed in both rodent models and postmortem AD brains (
                    <xref ref-type="bibr" rid="ref10">Y. Chen et al., 2025</xref>).</p>
            </sec>
            <sec id="sec4.4">
                <title>4.4 Vascular inflammation and endothelial senescence</title>
                <p>Chronic metabolic stress, particularly in the context of type 2 diabetes, obesity, and hypertension, accelerates vascular aging by inducing endothelial senescence. Senescent endothelial cells lose their proliferative capacity and adopt a senescence-associated secretory phenotype (SASP), characterized by increased secretion of pro-inflammatory cytokines such as IL-6, IL-1&#x03b2;, and TNF-&#x03b1;. This creates a self-perpetuating inflammatory loop within cerebral microvessels that promotes leukocyte adhesion, oxidative stress, and disruption of the neurovascular unit (
                    <xref ref-type="bibr" rid="ref38">Picos et al., 2025</xref>). Endothelial senescence is closely linked with cerebral small vessel disease (CSVD), which is highly prevalent in Alzheimer&#x2019;s disease (AD) patients. CSVD contributes to white matter hyperintensities, lacunar infarcts, and microbleeds, all of which increased the risk of cognitive decline. Experimental models in ApoE-/- mice subjected to high-fat diets, markers of endothelial senescence (p16^INK4a, p21) are upregulated in cerebral arterioles, coinciding with increased blood&#x2013;brain barrier (BBB) leakage and impaired cerebral perfusion (
                    <xref ref-type="bibr" rid="ref20">Fulop et al., 2018</xref>). Similarly, postmortem AD brain tissue demonstrates accumulation of senescent endothelial cells in cortical microvessels, correlating with both amyloid-&#x03b2; deposition and tau pathology (
                    <xref ref-type="bibr" rid="ref21">Gaikwad et al., 2023</xref>). Clinically, plasma biomarkers of vascular inflammation (e.g., soluble ICAM-1, VCAM-1, and circulating endothelial microparticles) have been associated with faster progression from mild cognitive impairment to AD. This suggests that endothelial senescence worsens vascular stiffness and hypoperfusion and also synergizes with amyloidogenic and tau-related pathways to accelerate neurodegeneration.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Mechanisms of endothelial dysfunction in Alzheimer&#x2019;s disease.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mechanism</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Pathophysiological effect</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Contribution to AD progression</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BBB disruption</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Increased vascular permeability</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Neuroinflammation and neuronal injury</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reduced nitric oxide</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Impaired vasodilation</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cerebral hypoperfusion</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Chronic vascular inflammation</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Endothelial injury</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Oxidative stress and neuronal dysfunction</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Amyloid-beta vascular deposition</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cerebral amyloid angiopathy</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reduced cerebral blood flow</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Microvascular dysfunction</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reduced capillary perfusion</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Synaptic injury and cognitive decline</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Hyperglycemia-induced injury</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">AGE and ROS formation</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">BBB dysfunction and vascular damage</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>The table presents major vascular and endothelial abnormalities involved in Alzheimer&#x2019;s disease and demonstrates how vascular dysfunction contributes to neurodegeneration and disease progression.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec5.0">
            <title>5.0 Interplay between metabolic dysfunction and endothelial dysfunction</title>
            <p>Metabolic and endothelial dysfunction reinforce each other in Alzheimer&#x2019;s disease (AD). Insulin resistance, dyslipidemia, and hyperglycemia increase oxidative stress and AGEs, while impairing eNOS and cerebral perfusion. Endothelial injury induces by vascular stiffness, hypoperfusion, and BBB leakage increase the risk of neuronal energy deficits, amyloid accumulation, and inflammation. These interplay between metabolic dysfunction and endothelial dysfunction are detailed in the subsections that follow.</p>
            <sec id="sec5.1">
                <title>5.1 The metabolic&#x2013;vascular&#x2013;neurodegenerative axis</title>
                <p>Insulin resistance, dyslipidemia, and hyperglycemia collectively damage endothelial cells by reducing nitric oxide (NO) production, increasing advanced glycation end-product (AGE) accumulation, and enhancing oxidative stress (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). Systemic and cerebral insulin resistance impair insulin-mediated activation of the phosphoinositide 3-kinase (PI3K)/Akt signaling pathway in endothelial cells. Under normal physiological conditions, insulin binding to endothelial insulin receptors activates insulin receptor substrate (IRS) proteins, which subsequently stimulate the PI3K/Akt pathway. Akt phosphorylates endothelial nitric oxide synthase (eNOS), promoting nitric oxide (NO) production that maintains vasodilation, vascular elasticity, and adequate cerebral blood flow (
                    <xref ref-type="bibr" rid="ref72">Yu, et al., 2026</xref>). In insulin-resistant states, impaired IRS signaling reduces PI3K/Akt activation and limits eNOS phosphorylation, resulting in decreased NO bioavailability, endothelial dysfunction, and vascular stiffness. Simultaneously, insulin resistance shifts signaling toward the mitogen-activated protein kinase (MAPK) pathway, which enhances endothelin-1 production, oxidative stress, inflammation, and vasoconstriction (
                    <xref ref-type="bibr" rid="ref73">Tang W, et al., 2026</xref>). These alterations compromise blood&#x2013;brain barrier integrity, reduce glucose and oxygen delivery to neurons, impair amyloid-beta clearance, and promote chronic neuroinflammation, promoting Alzheimer&#x2019;s disease progression (
                    <xref ref-type="bibr" rid="ref36">Moon et al., 2023</xref>). These changes result to reduced NO signaling and vascular stiffness impair cerebral blood flow and glucose delivery, depriving neurons of critical metabolic support. Additionally, BBB disruption allow the leakage of plasma proteins and infiltration of activated immune cells into the brain parenchyma. These process results to neuroinflammation, promoting microglial activation and oxidative stress, which in turn amplify A&#x03b2; production and tau hyperphosphorylation (
                    <xref ref-type="bibr" rid="ref43">Rom et al., 2020</xref>). The outcome is a vicious cycle with metabolic dysfunction increase vascular injury, vascular dysfunction promotes neuroinflammation, both increase the risk neuronal death. In APP/PS1/eNOS-deficient mice, partial loss of endothelial NO promote A&#x03b2; deposition, reduced clearance, and increase the risk spatial memory deficits compared with APP/PS1 mice alone. In high-fat diet rodent models, insulin resistance increased both tau phosphorylation and BBB permeability, directly linking systemic metabolism to neurovascular damage (
                    <xref ref-type="bibr" rid="ref2">An L et al., 2021</xref>). Similar findings have been reported in human studies in diabetic patients which show greater amyloid burden on PET imaging, more severe BBB permeability on MRI, and faster rates of cognitive decline compared to non-diabetics (
                    <xref ref-type="bibr" rid="ref40">Quenon et al., 2024</xref>).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>The Metabolic&#x2013;Vascular&#x2013;Neurodegenerative Axis in Alzheimer&#x2019;s Disease Schematic illustration showing the interplay between metabolic dysfunction, endothelial injury, and neurodegeneration in Alzheimer&#x2019;s disease (AD).</title>
                        <p>Insulin resistance, dyslipidemia, and hyperglycemia promote endothelial dysfunction through reduced nitric oxide (NO) production, increased advanced glycation end-product (AGE) accumulation, and oxidative stress. These vascular alterations impair cerebral blood flow, disrupt blood&#x2013;brain barrier (BBB) integrity, and promote neuroinflammation. Progressive oxidative stress and inflammatory signaling enhance amyloid-beta (A&#x03b2;) accumulation, tau hyperphosphorylation, neuronal injury, and cognitive decline, forming a self-reinforcing cycle that accelerates AD progression.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/201376/833f1357-9c6b-465b-b5aa-f09fbefe319b_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec5.2">
                <title>5.2 Shared molecular pathways</title>
                <p>Several molecular pathways connect metabolic dysfunction, endothelial injury, and neurodegeneration in Alzheimer&#x2019;s disease (AD). Oxidative stress is one of the main shared mechanisms linking these processes. Insulin resistance, hyperglycemia, and mitochondrial dysfunction increase the production of reactive oxygen species (ROS) (
                    <xref ref-type="bibr" rid="ref4">Barone et al., 2021</xref>). In endothelial cells, ROS reduce nitric oxide (NO) availability by uncoupling endothelial nitric oxide synthase (eNOS), leading to vasoconstriction, vascular stiffness, and reduced cerebral perfusion as shown in 
                    <xref ref-type="fig" rid="f3">Figure 3</xref>. In neurons, ROS damage mitochondrial DNA, proteins, and membrane lipids, impair synaptic signaling, and promote amyloid-beta (A&#x03b2;) accumulation (
                    <xref ref-type="bibr" rid="ref4">Barone et al., 2021</xref>). Experimental studies in streptozotocin-induced diabetic rats further showed that elevated ROS levels are associated with reduced cerebral blood flow and increased plaque deposition (
                    <xref ref-type="bibr" rid="ref34">Mohamed et al., 2022</xref>).</p>
                <p>Another important shared pathway involves advanced glycation end-products (AGEs) and RAGE signaling. Chronic hyperglycemia increases AGE accumulation in vascular and neural tissues. AGEs bind to RAGE receptors expressed on endothelial cells, neurons, and glial cells, activating NF-&#x03ba;B&#x2013;dependent inflammatory pathways and increasing cytokine production, including TNF-&#x03b1;, IL-1&#x03b2;, and IL-6 (
                    <xref ref-type="bibr" rid="ref20">Fulop et al., 2018</xref>). This inflammatory response promotes vascular stiffness, blood&#x2013;brain barrier dysfunction, sustained microglial activation, and neuronal injury. AGE&#x2013;RAGE signaling also enhances A&#x03b2; accumulation and tau hyperphosphorylation, directly linking metabolic imbalance to neurodegeneration. Clinical studies have shown that elevated AGE levels in diabetic patients are associated with faster cognitive decline, while inhibition of RAGE reduces neuroinflammation and plaque burden in AD mouse models (
                    <xref ref-type="bibr" rid="ref3">Ayoub et al., 2025</xref>).</p>
                <p>Mitochondrial dysfunction further connects metabolic and vascular abnormalities. Impaired mitochondrial respiration reduces ATP production in both endothelial cells and neurons, weakening endothelial barrier integrity and neuronal energy metabolism. Damaged mitochondria also produce more ROS, which further increases oxidative stress and inflammation. As these pathways interact, oxidative stress accelerates AGE formation, AGEs increase inflammation and mitochondrial injury, and mitochondrial dysfunction generates additional ROS. This continuous interaction creates a self-reinforcing cycle that worsens endothelial dysfunction, reduces cerebral blood flow and glucose delivery, impairs A&#x03b2; clearance, and accelerates neuronal injury and cognitive decline in Alzheimer&#x2019;s disease.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Shared molecular pathway linking metabolic dysfunction, endothelial injury, and neurodegeneration in Alzheimer&#x2019;s disease.</title>
                        <p>Schematic illustration showing the interconnected molecular pathway linking metabolic dysfunction to endothelial injury and neurodegeneration in Alzheimer&#x2019;s disease (AD). Insulin resistance, dyslipidemia, and hyperglycemia promote oxidative stress, advanced glycation end-product (AGE) accumulation, and mitochondrial dysfunction. Reactive oxygen species (ROS) and AGE&#x2013;RAGE signaling contribute to endothelial dysfunction, reduced cerebral perfusion, blood&#x2013;brain barrier (BBB) leakage, neuroinflammation, amyloid-beta (A&#x03b2;) accumulation, and tau hyperphosphorylation, collectively driving neuronal injury and cognitive decline.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/201376/833f1357-9c6b-465b-b5aa-f09fbefe319b_figure3.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec6.0">
            <title>6.0 Emerging therapeutic strategies</title>
            <p>The recognition that Alzheimer&#x2019;s disease (AD) emerges from the convergence of metabolic dysfunction and vascular pathology has broadened the scope of therapeutic exploration. Novel strategies increasingly focus on insulin signaling, endothelial repair, inflammation control, mitochondrial stabilization, and biomarker-driven personalization. Together, these innovations suggest a multi-targeted approach beyond the classical amyloid- and tau-centric model as summarised in 
                <xref ref-type="table" rid="T2">
Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Integrated therapeutic strategies targeting metabolic dysfunction and endothelial impairment in Alzheimer&#x2019;s disease.</title>
                    <p>The table summarizes major therapeutic categories with mechanistic relevance to Alzheimer&#x2019;s disease, focusing on metabolic regulation, endothelial protection, and multi-target interventions. Representative treatments, molecular pathways, clinical advantages, and potential limitations are provided to highlight the mechanistic rationale behind each approach and current translational considerations. Key pathways include PI3K/Akt, AMPK, GSK-3&#x03b2;, AGE-RAGE&#x2013;NF-&#x03ba;B, mitochondrial redox systems, and endothelial nitric oxide signaling. Precision-medicine and biomarker-guided models, such as the FINGER paradigm, illustrate emerging strategies that integrate metabolic and vascular profiling with neuroimaging and AI-driven analytics for patient-specific management.</p>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Therapeutic category</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Mechanistic focus</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Representative interventions</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Core molecular pathways affected</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Advantages</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Limitations/disadvantages</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Insulin-Based and Metabolic Therapies</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Restores insulin signaling, enhances neuronal glucose uptake, and reduces amyloid and tau pathology.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Intranasal insulin, Metformin, GLP-1 receptor agonists (liraglutide, semaglutide)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Increases PI3K/Akt and AMPK activity, decreases GSK-3&#x03b2; activity, increases IDE-mediated A&#x03b2; clearance, and decreases oxidative stress.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Improves neuronal metabolism and cognition; offers dual metabolic and neuroprotective effects.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Variable response across ApoE genotypes; potential for hypoglycemia or B12 deficiency; limited long-term data.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Endothelial Protection and Cerebral Perfusion</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Improves nitric oxide bioavailability, vascular elasticity, and BBB stability.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">BH4 supplementation, Aerobic exercise, Statins, ARBs (candesartan)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Increases eNOS coupling, decreases angiotensin-II and ROS signaling, increases BDNF expression and perfusion.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Enhances cerebral blood flow and BBB stability; synergistic benefits with lifestyle modification.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Benefits diminish with severe vascular pathology; statins may cause myopathy; ARBs limited by hypotensive effects.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Anti-Inflammatory and AGE&#x2013;RAGE Pathway Modulation</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Suppresses AGE&#x2013;RAGE&#x2013;NF-&#x03ba;B-driven inflammation and oxidative stress.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">RAGE inhibitors (azeliragon), GLP-1 agonists, Mediterranean/low-sugar diet</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Decreases NF-&#x03ba;B activation, decreases TNF-&#x03b1;, IL-1&#x03b2;, and IL-6 production, decreases microglial activation and ROS generation.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Reduces neuroinflammation and vascular stiffness; complements metabolic and vascular therapies.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Limited efficacy as monotherapy; RAGE inhibitors show modest benefit; adherence challenges in diet-based approaches.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mitochondrial and Redox-Targeted Therapies</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Enhances mitochondrial function and reduces oxidative damage.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">MitoQ, SS-31 (elamipretide), CoQ10, Ketogenic diet</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Increases ATP generation, decreases mitochondrial ROS, increases membrane potential stability, increases mitophagy.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Improves energy metabolism, synaptic resilience, and neuronal survival.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">High cost; limited large-scale trials; long-term safety and dosing remain uncertain.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Biomarker-Guided and Precision Medicine</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Uses metabolic, vascular, and neuroimaging biomarkers with AI to guide therapy.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">FINGER model interventions; AI-driven biomarker analytics</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Integrates CSF insulin, lipid, and AGE markers with PET/MRI and cognitive data to personalize interventions.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Enables early detection and personalized therapy; supports adaptive monitoring and prevention.</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Requires expensive infrastructure and data integration; accessibility limited in low-resource settings.</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <sec id="sec6.1">
                <title>6.1 Insulin-based and metabolic therapies</title>
                <p>Insulin resistance impairs cerebral glucose utilization, creating an &#x201c;energy crisis&#x201d; that facilitate amyloid accumulation and tau phosphorylation. Intranasal insulin therapy bypasses systemic metabolism to deliver insulin directly to the brain. A recent systematic review and Meta-Analysis demonstrated that intranasal insulin improved memory and attention in patients with mild cognitive impairment (MCI), with particularly strong effects in ApoE4 non-carriers (
                    <xref ref-type="bibr" rid="ref29">Long et al., 2022</xref>). Additionally, metformin an AMPK activator widely prescribed for type 2 diabetes has shown neuroprotective benefits. Observational studies report lower incidence of cognitive decline among metformin users, likely due to improved insulin sensitivity and reduced oxidative stress (
                    <xref ref-type="bibr" rid="ref18">Enderami et al., 2025</xref>). However, some data caution about possible vitamin B12 deficiency worsening cognition, emphasizing the need for balanced interpretation. Another promising frontier lies in GLP-1 receptor agonists (liraglutide, semaglutide), which enhance insulin sensitivity and exert anti-inflammatory effects in the CNS (
                    <xref ref-type="bibr" rid="ref5">Biessels &amp; Whitmer, 2020</xref>). Preclinical studies revealed that liraglutide reduced amyloid deposition and improved synaptic plasticity in AD mouse models (
                    <xref ref-type="bibr" rid="ref17">Duarte et al., 2020</xref>). In a randomised clinical trial (N = 164531) shows GLP-1 receptor agonists was associated with significant reduction dementia (
                    <xref ref-type="bibr" rid="ref47">Seminer et al., 2025</xref>).</p>
                <p>Furthermore, Pioglitazone is peroxisome proliferator-activated receptor gamma (PPAR-&#x03b3;) agonist used in type 2 diabetes management, has been investigated as a potential therapeutic agent in Alzheimer&#x2019;s disease (AD) because of its insulin-sensitizing and anti-inflammatory effects (
                    <xref ref-type="bibr" rid="ref61">Alhowail et al., 2025</xref>). Activation of PPAR-&#x03b3; improves glucose metabolism, reduces oxidative stress, suppresses pro-inflammatory cytokine production, and enhances amyloid-beta clearance. Experimental studies have shown that pioglitazone reduces neuroinflammation and improves cognitive performance in AD models (
                    <xref ref-type="bibr" rid="ref74">Blossom et al., 2026</xref>). However, clinical studies have reported inconsistent cognitive benefits, suggesting that therapeutic response may depend on disease stage and treatment duration.</p>
            </sec>
            <sec id="sec602">
                <title>6.2 Endothelial protection and cerebral perfusion</title>
                <p>Endothelial dysfunction restricts cerebral perfusion, leading to hypoxia, impaired glucose delivery, and reduced amyloid clearance. Restoration of nitric oxide (NO) signaling is central to reversing this pathology. Experimental studies have shown that supplementation with tetrahydrobiopterin (BH4) restores eNOS coupling, improves vascular tone, and enhances memory in AD mouse model (
                    <xref ref-type="bibr" rid="ref19">Fanet et al., 2021</xref>). Human evidence supports lifestyle-based endothelial protection, with aerobic exercise emerging as one of the most effective non-pharmacological strategies. Aerobic exercise trials reported increased hippocampal volume, improved perfusion, and higher brain-derived neurotrophic factor (BDNF) levels in older adults (
                    <xref ref-type="bibr" rid="ref44">Romero Garavito et al., 2025</xref>). These vascular benefits are accompany by neurobiological changes, including increased expression of brain-derived neurotrophic factor (BDNF), a key mediator of synaptic plasticity and neuronal survival. Furthermore, Statins which is prescribed for cholesterol lowering have been reported to exert additional vascular benefits by enhancing endothelial nitric oxide (NO) bioavailability and reducing oxidative stress (
                    <xref ref-type="bibr" rid="ref9">W. H. Chen et al., 2024</xref>). These pleiotropic effects help maintain cerebral perfusion and protect the blood&#x2013;brain barrier. For example, a systematic review and meta-analysis indicated that long-term statin use is associated with a modest but significant reduction in dementia risk, particularly Alzheimer&#x2019;s disease (
                    <xref ref-type="bibr" rid="ref55">Westphal Filho et al., 2025</xref>). Additionally, angiotensin receptor blockers (ARBs), particularly agents such as candesartan, extend beyond blood pressure control by exerting direct protective effects on cerebral vasculature. ARBs enhance cerebral perfusion and reduce vascular stiffness by inhibiting angiotensin II&#x2013;mediated vasoconstriction, oxidative stress, and inflammatory signaling. These vascular improvements translate into better maintenance of blood&#x2013;brain barrier (BBB) integrity and neuronal oxygen-glucose delivery (
                    <xref ref-type="bibr" rid="ref58">Zhou et al., 2023</xref>). Clinical evidence supports these benefits with small randomized trials and observational studies have reported that AD patients with hypertension treated with candesartan or related ARBs demonstrated slower rates of cognitive decline compared with those on non-ARB antihypertensives. ARB therapy was associated with improved scores on memory and executive function tests, highlighting the potential role of renin&#x2013;angiotensin system modulation in neuroprotection (
                    <xref ref-type="bibr" rid="ref16">D&#x2019;Silva et al., 2022</xref>).</p>
            </sec>
            <sec id="sec6.3">
                <title>6.3 Anti-inflammatory approaches and AGE&#x2013;RAGE pathway inhibition</title>
                <p>Experimental evidence indicates that the receptor for advanced glycation end products (RAGE) serves as an important mediator connecting metabolic stress with neuroinflammation and amyloid accumulation. In animal models of Alzheimer&#x2019;s disease, pharmacological inhibition of RAGE reduced microglial activation as depicted in 
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>. The inhibition of oxidative stress, and decreased amyloid-beta deposition slow down the progression of neurodegeneration and offer neuroprotection (
                    <xref ref-type="bibr" rid="ref13">Derk et al., 2018</xref>). One of the most studied agents, azeliragon, a small-molecule RAGE inhibitor, progressed to phase III clinical trials. While the trials confirmed safety and tolerability, clinical outcomes revealed only modest improvements in cognitive performance compared with placebo, highlighting the limited efficacy of RAGE inhibition as a stand-alone therapy (
                    <xref ref-type="bibr" rid="ref32">Magna et al., 2023</xref>). These results suggest that RAGE antagonism may have disease-modifying potential. However, its clinical impact may be optimized in combination with other strategies, such as metabolic control in diabetes, lipid-lowering agents, or vascular protective drugs. This emphasised that targeting a single pathway is unlikely to be effective, and integrated strategies are needed to address the interconnected metabolic, vascular, and neurodegenerative mechanisms in Alzheimer&#x2019;s disease (
                    <xref ref-type="bibr" rid="ref50">Taguchi &amp; Fukami, 2023</xref>). In parallel, metabolic drugs such as GLP-1 agonists indirectly modulate AGE&#x2013;RAGE signaling, lowering AGE-induced cytokine production. Lifestyle strategies, particularly low-sugar or Mediterranean-style diets, are associated with lower systemic AGE levels and reduced cognitive decline in longitudinal human cohorts. These data suggest that controlling inflammation through both pharmacological and non-pharmacological approaches could synergize with other therapies (
                    <xref ref-type="bibr" rid="ref11">Clark et al., 2022</xref>).</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Mechanism of Azeliragon action on age&#x2013;rage pathway in Alzheimer&#x2019;s disease.</title>
                        <p>Schematic illustration showing the inhibitory effect of Azeliragon on the AGE&#x2013;RAGE signaling pathway in Alzheimer&#x2019;s disease. Under normal pathological conditions, binding of advanced glycation end-products (AGEs) to their receptor (RAGE) activates downstream NF-&#x03ba;B signaling, leading to cytokine release, oxidative stress, and subsequent amyloid-beta (A&#x03b2;) accumulation and neurodegeneration. Azeliragon blocks AGE binding to RAGE, preventing pathway activation and reducing neuroinflammation, oxidative damage, and A&#x03b2;-mediated neuronal injury.</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/201376/833f1357-9c6b-465b-b5aa-f09fbefe319b_figure4.gif"/>
                </fig>
            </sec>
            <sec id="sec6.4">
                <title>6.4 Mitochondrial-targeted therapies</title>
                <p>Mitochondrial dysfunction is central to both metabolic disease and AD, producing ATP deficits and reactive oxygen species (ROS). Several experimental strategies aim to restore mitochondrial health. MitoQ, a mitochondria-targeted antioxidant, improved synaptic activity and reduced amyloid burden in mouse AD models (
                    <xref ref-type="bibr" rid="ref60">Zong et al., 2024</xref>). Similarly, the peptide SS-31 (elamipretide) preserved mitochondrial cristae structure, stabilized membrane potential, and enhanced memory in aged rodents. Human pilot trials of mitochondrial cofactors such as coenzyme Q10 and nicotinamide riboside have shown safety and modest cognitive improvement. Additionally, metabolic interventions like ketogenic diets also improve mitochondrial efficiency and reduce ROS generation, with preliminary human data showing improved cognition in mild cognitive impairment. These findings highlight mitochondria as both a therapeutic target and a metabolic regulator in AD (
                    <xref ref-type="bibr" rid="ref60">Zong et al., 2024</xref>).</p>
            </sec>
            <sec id="sec6.5">
                <title>6.5 Biomarker-guided personalized medicine</title>
                <p>The complexity of AD requires precision medicine guided by biomarkers. The Finnish Geriatric Intervention Study (FINGER trial) demonstrated that a multidomain lifestyle intervention diet, exercise, vascular risk control, and cognitive training slowed cognitive decline in elderly individuals at risk (
                    <xref ref-type="bibr" rid="ref46">Sakurai et al., 2025</xref>). Notably, biomarker sub-studies revealed improvements in metabolic and vascular markers, reinforcing the integrated approach. Modern biomarker platforms include CSF insulin, cholesterol, and AGE levels, alongside imaging modalities such as arterial spin labeling MRI to measure cerebral perfusion. When combined with amyloid and tau PET imaging, these tools stratify patients by metabolic and vascular risk, enabling therapies to be tailored. Additionally, artificial intelligence driven algorithms are being explored to integrate these diverse biomarker streams for real-time clinical decision-making (
                    <xref ref-type="bibr" rid="ref46">Sakurai et al., 2025</xref>).</p>
            </sec>
        </sec>
        <sec id="sec7.0">
            <title>7.0 Future perspectives</title>
            <sec id="sec7.1">
                <title>7.1 Integration of network pharmacology and molecular docking</title>
                <p>Future research should emphasize the integration of network pharmacology and molecular docking to elucidate complex drug to target interactions across metabolic, endothelial, and neuroinflammatory pathways implicated in Alzheimer&#x2019;s disease (AD). These computational approaches enable the identification of multi-target compounds capable of simultaneously modulating oxidative stress, mitochondrial dysfunction, and vascular injury. For example, in silico docking studies have revealed that certain phytochemicals and antidiabetic agents bind effectively to A&#x03b2;-aggregating enzymes and inflammatory receptors, suggesting their potential as dual-acting therapeutics (
                    <xref ref-type="bibr" rid="ref39">Prakash et al., 2023</xref>). Such integrated modeling accelerates drug discovery while improving the rational design of multi-pathway interventions.</p>
            </sec>
            <sec id="sec7.2">
                <title>7.2 Advancement of multi-omics biomarker discovery</title>
                <p>Multi-omics technologies including genomics, transcriptomics, proteomics, metabolomics, and lipidomics present innovative means of dissecting the intricate molecular mechanisms linking metabolic dysfunction to neuronal degeneration. Recent omics-driven studies have identified plasma and cerebrospinal fluid (CSF) biomarkers (
                    <xref ref-type="bibr" rid="ref7">Cardillo et al., 2025</xref>). These include lipid peroxidation products and inflammatory metabolites, that correlate with early cognitive impairment. Integrating these omic layers enables the development of composite biomarker panels for early diagnosis, prognosis, and therapeutic monitoring. This approach will help clinicians stratify patients based on molecular phenotypes, leading to more precise and personalized interventions in AD management (
                    <xref ref-type="bibr" rid="ref28">Liu et al., 2025</xref>).</p>
            </sec>
            <sec id="sec7.3">
                <title>7.3 Artificial intelligence and predictive modeling</title>
                <p>Artificial intelligence (AI) and machine learning hold transformative potential for unraveling the complexity of Alzheimer&#x2019;s disease. AI algorithms can detect subtle, preclinical patterns of neurodegeneration before clinical symptoms emerge. Predictive models developed through deep learning frameworks have already demonstrated high accuracy in forecasting disease progression and therapeutic responsiveness. Future AI-driven systems could guide real-time clinical decision-making, enabling dynamic, personalized treatment adjustments and enhancing the efficiency of clinical trials (
                    <xref ref-type="bibr" rid="ref26">Kale et al., 2024</xref>).</p>
            </sec>
            <sec id="sec7.4">
                <title>7.4 Therapeutic repurposing and polypharmacology</title>
                <p>Drug repurposing represents a cost-effective and time-efficient strategy for developing new treatments targeting metabolic and endothelial pathways in AD. Compounds such as metformin, pioglitazone, and statins have shown promising neuroprotective and vasoprotective effects beyond their primary indications. Network pharmacology analyses reveal that these agents act on shared molecular hubs including AMPK, NF-&#x03ba;B, and eNOS signaling emphasizing the value of polypharmacology in addressing multifactorial disease mechanisms (
                    <xref ref-type="bibr" rid="ref8">T. Chen et al., 2023</xref>). Future therapeutic strategies should therefore focus on combination or multi-target drugs that can simultaneously modulate metabolic stress, vascular dysfunction, and neuroinflammation.</p>
            </sec>
            <sec id="sec7.5">
                <title>7.5 Translational research and clinical integration</title>
                <p>Bridging the gap between molecular discoveries and clinical application remains an Important challenge. Translational frameworks that combine computational modeling, omics-based diagnostics, and controlled clinical trials are needed to validate mechanistic hypotheses and therapeutic efficacy. Collaborative consortia linking academic institutions, pharmaceutical industries, and bioinformatics platforms will facilitate large-scale data integration and reproducibility. Ultimately, these efforts will promote a shift toward precision neurotherapeutics where treatment is tailored to each patient&#x2019;s genetic, metabolic, and vascular profile improving outcomes in Alzheimer&#x2019;s and related neurodegenerative disorders.</p>
            </sec>
        </sec>
        <sec id="sec8.0" sec-type="conclusion">
            <title>8.0 Conclusion</title>
            <p>Alzheimer&#x2019;s disease (AD) is recognized as a systemic disorder in which metabolic dysfunction and endothelial injury act synergistically to amplifier neurodegeneration. Insulin resistance, dyslipidemia, and hyperglycemia impair neuronal energy metabolism, while endothelial dysfunction and blood&#x2013;brain barrier breakdown amplify oxidative stress, inflammation, and amyloid pathology. This interconnection defines a metabolic&#x2013;vascular&#x2013;neurodegenerative axis that links systemic disease to brain pathology. Effective management therefore requires a paradigm shift from single-target therapies toward integrative, multi-system interventions that restore metabolic balance, protect vascular integrity, and mitigate neuroinflammation. Emerging strategies from insulin sensitizers and endothelial stabilizers to mitochondria-targeted agents offer promising translational opportunities for disease modification. Addressing Alzheimer&#x2019;s disease through combined metabolic and vascular interventions such as improving insulin sensitivity, reducing oxidative stress, and preserving endothelial integrity offers a more effective, system-level strategy for preventing cognitive decline and promoting long-term brain health.</p>
        </sec>
        <sec id="sec29">
            <title>Clinical trial number</title>
            <p>Not applicable.</p>
        </sec>
        <sec id="sec30">
            <title>Ethical approval and consent to participate</title>
            <p>This is a narrative review and does not require ethical approval or consent to participate in the study.</p>
        </sec>
        <sec id="sec31">
            <title>Consent for publication</title>
            <p>Not applicable.</p>
        </sec>
    </body>
    <back>
        <sec id="sec34" sec-type="data-availability">
            <title>Data availability and materials</title>
            <p>Not applicable.</p>
        </sec>
        <ack>
            <title>Acknowledgement</title>
            <p>Not applicable.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report453136">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.190222.r453136</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Dimeji</surname>
                        <given-names>Igbayilola Yusuff</given-names>
                    </name>
                    <xref ref-type="aff" rid="r453136a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2405-5554</uri>
                </contrib>
                <aff id="r453136a1">
                    <label>1</label>Physiology, Federal University of Health Scienecs, Ila-Orangun, Ila Orangun, Osun, Nigeria</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Dimeji IY</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport453136" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.172489.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors investigated the mechanisms of metabolic disorder and endothelial dysfunction in Alzheimer&#x2019;s disease. This is a timely study, and the manuscript is well written and well structured. However, I have the following concerns, which I believe, if addressed, will improve the rigor and clarity of the manuscript.</p>
            <p> 1. Keywords</p>
            <p> Kindly remove all words already included in the title from the keywords.</p>
            <p> 2. Abstract</p>
            <p> Capitalize the first word in the last sentence of the abstract: &#x201c;Future.&#x201d;</p>
            <p> </p>
            <p> Section 1: Introduction</p>
            <p> AD is no longer viewed purely as a neuronal disease. In the introduction, please mention the socioeconomic burden of AD and introduce AD as a multisystem disorder.</p>
            <p> Link chronic low-grade inflammation to the effects of metabolic syndrome and oxidative stress on AD.</p>
            <p> The introduction section is not referenced; please cite sources for all statements in this section.</p>
            <p> The manuscript lacks methodological discussion. State the method employed in writing the manuscript, including the search strategy and inclusion and exclusion criteria. A flow diagram of the search strategy would add value to the manuscript.</p>
            <p> </p>
            <p> Section 2</p>
            <p> Consider adding a subsection on chronic low-grade inflammation and AD.</p>
            <p> Including a figure that links metabolic disorder with AD will add depth and rigor to the manuscript.</p>
            <p> In Figure 1, the image used to represent insulin resistance is limited because insulin resistance is a whole-body disorder. Since it also affects the brain and vascular endothelium, using the brain and endothelium would be more appropriate than the stomach in this context. I suggest removing the current image and replacing it with a more relevant one.</p>
            <p> </p>
            <p> Section 3</p>
            <p> Consider adding one or two tables:</p>
            <p> Key Metabolic Abnormalities Associated with Alzheimer&#x2019;s Disease</p>
            <p> Mechanisms of Endothelial Dysfunction in Alzheimer&#x2019;s Disease</p>
            <p> These tables should focus on how different metabolic disturbances contribute to AD pathology and how vascular pathology interacts with metabolic disorder, respectively.</p>
            <p> Refer to my comments on Figure 1 and apply the same suggestions to Figure 3.</p>
            <p> </p>
            <p> Section 4</p>
            <p> Provide more detail on how systemic and cerebral insulin resistance impair insulin-mediated activation of the PI3K/Akt signaling pathway in endothelial cells.</p>
            <p> Section 4.2 should be split into subsections, with each shared molecular pathway discussed in a separate paragraph.</p>
            <p> Section 5</p>
            <p> Consider discussing the roles of metformin and pioglitazone (PPAR-&#x03b3; agonists).</p>
            <p> Include discussion of ceramide and lipid-modulating therapies, VEGF modulators, and sirtuin activators.</p>
            <p>Is the review written in accessible language?</p>
            <p>Yes</p>
            <p>Are all factual statements correct and adequately supported by citations?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn appropriate in the context of the current research literature?</p>
            <p>Yes</p>
            <p>Is the topic of the review discussed comprehensively in the context of the current literature?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Endocrinology, metabolism, developmental programming and environmental toxicology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment16176-453136">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Dominic</surname>
                            <given-names>prince swase</given-names>
                        </name>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>11</day>
                    <month>5</month>
                    <year>2026</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for taking your time to review our work. The manuscript has been improved as you suggested .</p>
            </body>
        </sub-article>
    </sub-article>
</article>
