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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Exp. Biol. Med.</journal-id>
<journal-title-group>
<journal-title>Experimental Biology and Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Exp. Biol. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1535-3699</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">10808</article-id>
<article-id pub-id-type="doi">10.3389/ebm.2025.10808</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Mapping microglial mechanisms in Alzheimer&#x2019;s disease: a comprehensive analysis</article-title>
<alt-title alt-title-type="left-running-head">Wang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/ebm.2025.10808">10.3389/ebm.2025.10808</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Xiaofang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2518595"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Guo</surname>
<given-names>Yuqing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3299367"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zha</surname>
<given-names>Yonghan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3271624"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Shuling</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3299935"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Weihua</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1439952"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jia</surname>
<given-names>Qianfang</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2542394"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Hebei University of Chinese Medicine</institution>, <city>Shijiazhuang</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Traditional Chinese Medicine, Affiliated Children&#x2019;s Hospital of Jiangnan University, Wuxi Children&#x2019;s Hospital</institution>, <city>Wuxi</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>The First Clinical College of Henan Medical University</institution>, <city>Xinxiang</city>, <country country="CN">China</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University</institution>, <city>Shenzhen</city>, <country country="CN">China</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Department of Children&#x2019;s Rehabilitation, First Affiliated Hospital of Xinxiang Medical University</institution>, <city>Xinxiang</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Shuling Wang, <email xlink:href="mailto:wangshulinghappy@163.com">wangshulinghappy@163.com</email>; Weihua Yang, <email xlink:href="mailto:benben0606@139.com">benben0606@139.com</email>; Qianfang Jia, <email xlink:href="mailto:qianfangjia27@163.com">qianfangjia27@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-03">
<day>03</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>250</volume>
<elocation-id>10808</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>09</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wang, Guo, Zha, Wang, Yang and Jia.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Guo, Zha, Wang, Yang and Jia</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-03">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Microglia, the brain&#x2019;s primary immune cells, play crucial roles in Alzheimer&#x2019;s disease (AD) pathogenesis. However, existing research remains abundant yet fragmented. Therefore, this study aimed to systematically identify hotspots and trends in microglia-related AD research, while providing an in-depth analysis of the underlying mechanisms to advance mechanistic understanding and therapeutic development. To achieve this, articles on microglia in AD were retrieved from the Web of Science Core Collection (WoSCC) database, and bibliometric analysis was performed using the WoSCC platform and CiteSpace 6.3.R1, with a focus on global collaboration, institutional and journal contributions, keyword bursts, and high-impact articles to comprehensively elucidate the underlying mechanisms. In total, 1,043 articles from 67 countries and regions were included.Among them, the United States led with 484 articles and an H-index of 100, followed by China with 276 articles. The University of California system (77 articles) and Harvard University (74 articles) had the highest H-index, both at 41. Journal of Neuroinflammation published the most articles (57 articles). Burst keywords persisting until 2024 included &#x201c;memory,&#x201d; &#x201c;NLRP3 inflammasome,&#x201d; and &#x201c;system.&#x201d; High-impact studies emphasized microglial roles in AD pathology, including A&#x3b2; clearance, synaptic pruning, inflammation, metabolism, phenotype shifts, immune memory, and genetic variation. Overall, microglial mechanisms are at the forefront of AD research. The United States leads in both article number and influence, followed by China. The University of California system and Harvard University demonstrate the greatest output and impact. <italic>Journal of Neuroinflammation</italic> is the leading journal. Microglial NLRP3 activation, system-level interactions, and memory impairment have emerged as key research hotspots in AD. Future research will focus on microglial mechanisms and therapeutic targets in AD.</p>
</abstract>
<kwd-group>
<kwd>microglia</kwd>
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>mechanism</kwd>
<kwd>hotspot</kwd>
<kwd>trend</kwd>
</kwd-group>
<funding-group>
<funding-statement>The authors declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="13"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Aging</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Impact statement</title>
<p>Alzheimer&#x2019;s disease (AD) remains one of the most pressing challenges in aging research, with microglia increasingly recognized as central players in disease onset and progression. Despite abundant publications, existing studies are fragmented and lack a systematic overview of global trends and emerging directions. This work fills that gap by providing the first comprehensive bibliometric mapping of microglial research in AD over the past decade. It highlights how microglia contribute to aging-related processes, including inflammation, metabolic shifts, immune memory, and genetic susceptibility, and identifies the key institutions, journals, and research themes driving the field. By integrating this information, the study offers a clearer picture of how microglial biology intersects with aging mechanisms in AD. This perspective not only advances understanding of disease pathology but also helps guide future research toward innovative therapeutic strategies targeting microglial dysfunction in aging-related neurodegeneration.</p>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>Alzheimer&#x2019;s disease (AD) is a prototypical neurodegenerative disorder, characterized by amyloid-&#x3b2; (A&#x3b2;) plaque deposition and abnormal tau phosphorylation [<xref ref-type="bibr" rid="B1">1</xref>]. Increasing evidence indicates that AD is accompanied by disrupted neuroimmune homeostasis, with neuroinflammation playing a central role in its pathogenesis [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>]. Microglia, the principal immune cells of the central nervous system (CNS), display functional abnormalities in AD. These abnormalities not only sustain chronic neuroinflammation but also impair A&#x3b2; clearance, synaptic remodeling, and neuronal survival, thereby positioning microglia as both initiators and amplifiers of AD pathology [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p>Mechanistically, neuronal overexpression of cathepsin S activates the CX3CL1&#x2013;CX3CR1 axis and JAK2&#x2013;STAT3 signaling, driving microglia toward a pro-inflammatory M1 phenotype and disrupting lysosomal protease balance, which intensifies neuroinflammation and accelerates disease progression [<xref ref-type="bibr" rid="B7">7</xref>]. Activated microglia further secrete pro-inflammatory cytokines via the MAPK, PI3K, and JAK/STAT pathways, establishing a positive feedback loop with peripheral immune cells that exacerbates neuronal injury [<xref ref-type="bibr" rid="B8">8</xref>]. In addition, microglial upregulation of the complement system under AD conditions induces aberrant phag [<xref ref-type="bibr" rid="B9">9</xref>]. Dysregulation of the TREM2/PGRN signaling axis further diminishes microglial capacity to clear A&#x3b2; plaques, while TREM2-driven microglial activation independently aggravates synaptic injury [<xref ref-type="bibr" rid="B10">10</xref>]. Collectively, these findings highlight microglia as a pathological hub linking A&#x3b2; deposition, tau abnormalities, synaptic dysfunction, and neuroinflammation in AD.</p>
<p>Given their central role, microglia have emerged as promising therapeutic targets in AD, with novel strategies including TREM2 agonists [<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>], anti-inflammatory modulation [<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>], and gene-editing approaches [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. However, despite rapid advances, microglia-related AD research remains highly heterogeneous, encompassing diverse mechanisms and intervention strategies. This fragmentation underscores the need for an integrative perspective to clarify research hotspots, developmental trajectories, and translational potential. To this end, the present study performed a bibliometric analysis of publications from the past decade indexed in the Web of Science Core Collection (WoSCC), aiming to map the evolving landscape of microglia-related AD research and to conduct an in-depth analysis of the underlying mechanisms, thereby providing systematic insights that may inform the development of novel therapeutic interventions and their clinical translation.</p>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>Materials and methods</title>
<p>The WoSCC serves as a standard dataset for journal impact and institutional performance indicators and has become a key resource in bibliometric research [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>]. To systematically identify the related literature, we established a stringent selection strategy. In the WoSCC database, we set the topic as &#x201c;microglia&#x2a;&#x201d; and the additional topic as &#x201c;Alzheimer&#x2a;&#x201d; or &#x201c;AD&#x201d;, restricting the language to English, the document type to&#x201c;article,&#x201d; and the publication date range from January 1, 2015 to December 31, 2024, resulting in 2,856 retrieved articles.</p>
<p>All retrieved records were imported into CiteSpace 6.3.R1 software for data processing. Duplicate entries were automatically detected and removed based on DOI, title, author, and publication year. Furthermore, a manual screening procedure was conducted to ensure the quality of the dataset, and the following criteria were applied: (1) documents including conference proceedings, review articles, book chapters, early access, editorial materials, letters, meeting abstracts, corrections, data papers, and retracted publications were excluded by document type; (2) articles were then filtered based on their content to ensure alignment with the target topic&#x2014;for instance, studies addressing only AD or only microglia were excluded. During the manual screening, a double-blind review mechanism was implemented. Two independent reviewers (XW and YG) screened the records according to the above criteria without access to each other&#x2019;s decisions. Any discrepancies were resolved through discussion or by consultation with a third-party expert adjudicator (QJ). As a result, a total of 1,043 high-quality articles were ultimately included following manual screening. Moreover, CiteSpace was employed for collaboration network analysis (by country/region, institution, and journal) and for burst keywords identification, and the WoSCC analysis system was used to analyze annual and regional article counts. The full literature screening process is illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>. In addition, high-impact articles were subjected to in-depth analysis to better showcase pivotal findings in the field of microglia in AD.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Frame flow diagram showing the detailed selection criteria and analysis steps for the study of microglia in AD.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing a study&#x27;s search and analysis process. It includes three sections: Search, Screening, and Analysis. In Search, 2,856 articles are gathered from the Web of Science Core Collection using criteria like the topic &#x22;microglia*&#x22; and &#x22;alzheimer*&#x22;, in English articles from January 1, 2015, to December 31, 2024. Screening excludes 962 articles by document type and 838 by content, based on criteria like being unrelated to microglia in Alzheimer&#x27;s disease. Analysis subjects 1,043 articles to comprehensive review covering annual numbers, countries, institutions, journals, research categories, keywords, and high-impact articles.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<sec id="s4-1">
<title>Annual number of articles</title>
<p>Over the past decade, annual articles in the field of microglia in AD have consistently exceeded 50, exhibiting a general increasing trend. Between 2015 and 2020, the number of annual articles rose steadily, from 52 to 102. Beginning in 2021, the number of articles in this field has grown markedly, with an average of more than 140 articles per year from 2021 to 2024. <xref ref-type="fig" rid="F2">Figure 2</xref> depicts the annual number of articles in this field over the last decade.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Annual number of articles on microglia in AD.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g002.tif">
<alt-text content-type="machine-generated">Bar graph showing the number of articles published annually from 2015 to 2024. Starting at 52 articles in 2015, increasing steadily to 155 in 2021, and slightly decreasing to 143 in 2024.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-2">
<title>Countries or regions</title>
<p>These articles originated from 67 countries and regions. <xref ref-type="fig" rid="F3">Figure 3</xref> illustrates the collaboration network of countries and regions constructed with the default parameters in CiteSpace. The size of each label and node in <xref ref-type="fig" rid="F3">Figure 3</xref> is proportional to the number of articles. The largest nodes and labels belonged to the United States (484 articles), China (276), and England (112), indicating their dominant contributions. Connections between nodes indicate collaboration between countries, with more links signifying closer cooperation. <xref ref-type="table" rid="T1">Table 1</xref> lists the top 10 countries or regions by number of articles, along with centrality scores (reflecting collaboration intensity) and H-indices (measuring academic impact). The United States ranked first with the highest H-index (100) and also demonstrated the greatest centrality (0.60). China followed with an H-index of 58 but exhibited a lower centrality score of 0.09.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Cooperation of countries or regions that contributed to articles on microglia in AD.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g003.tif">
<alt-text content-type="machine-generated">Network diagram featuring countries like USA, Germany, England, and others, connected by intersecting blue and red lines. Pink dots highlight specific locations, suggesting a web of relationships or interactions.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Top 10 countries or regions with articles on microglia in AD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Countries or regions</th>
<th align="center">Counts</th>
<th align="center">Centrality</th>
<th align="center">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">United States</td>
<td align="center">484</td>
<td align="center">0.60</td>
<td align="center">100</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">China</td>
<td align="center">276</td>
<td align="center">0.09</td>
<td align="center">58</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">England</td>
<td align="center">112</td>
<td align="center">0.14</td>
<td align="center">47</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">Germany</td>
<td align="center">112</td>
<td align="center">0.18</td>
<td align="center">53</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">Canada</td>
<td align="center">54</td>
<td align="center">0.02</td>
<td align="center">31</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">Spain</td>
<td align="center">53</td>
<td align="center">0.13</td>
<td align="center">26</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Japan</td>
<td align="center">53</td>
<td align="center">0.00</td>
<td align="center">29</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">South Korea</td>
<td align="center">46</td>
<td align="center">0.07</td>
<td align="center">22</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">Sweden</td>
<td align="center">42</td>
<td align="center">0.07</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">Italy</td>
<td align="center">41</td>
<td align="center">0.13</td>
<td align="center">23</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-3">
<title>Institutions</title>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> presents the institutional collaboration network constructed with CiteSpace&#x2019;s default settings. The size of nodes and labels of each institution in the figure is proportional to its article output, with connections representing collaborations. <xref ref-type="table" rid="T2">Table 2</xref> lists details of the top 10 institutions based on article counts. Regarding article output, the University of California System (77 articles), Harvard University (74 articles), and Helmholtz Association (55 articles) hold the top 3 positions. The University of California System and Harvard University shared the highest H-index of 41. Of the top 10 institutions, five are based in the United States, three in Germany, and two in England.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Cooperation of institutions that contributed to articles on microglia in AD.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g004.tif">
<alt-text content-type="machine-generated">Network diagram featuring connections between various institutions, including German Center for Neurodegenerative Diseases (DZNE), Helmholtz Association, Harvard University Medical Affiliates, University of California System, University College London, Harvard University, and University of London. Multicolored lines and dots represent connections.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Top 10 Institutions with articles on microglia in AD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Rank</th>
<th align="center">Institution</th>
<th align="center">Country or regions</th>
<th align="center">Counts</th>
<th align="center">H-index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">University of California System</td>
<td align="center">United States</td>
<td align="center">77</td>
<td align="center">41</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Harvard University</td>
<td align="center">United States</td>
<td align="center">74</td>
<td align="center">41</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Helmholtz Association</td>
<td align="center">Germany</td>
<td align="center">55</td>
<td align="center">35</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">Harvard University Medical Affiliates</td>
<td align="center">United States</td>
<td align="center">55</td>
<td align="center">33</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">University of London</td>
<td align="center">England</td>
<td align="center">52</td>
<td align="center">27</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">German Center for Neurodegenerative Diseases (DZNE)</td>
<td align="center">Germany</td>
<td align="center">48</td>
<td align="center">33</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">University College London</td>
<td align="center">England</td>
<td align="center">45</td>
<td align="center">25</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">Harvard Medical School</td>
<td align="center">United States</td>
<td align="center">41</td>
<td align="center">25</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">Washington University (WUSTL)</td>
<td align="center">United States</td>
<td align="center">37</td>
<td align="center">29</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">University of Munich</td>
<td align="center">Germany</td>
<td align="center">30</td>
<td align="center">24</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-4">
<title>Journals</title>
<p>
<xref ref-type="table" rid="T3">Table 3</xref> presents the top 10 journals ranked by article number in the research field of microglia in AD. The journals with the highest article counts were <italic>Journal of Neuroinflammation, Journal of Alzheimer&#x2019;s Disease,</italic> and <italic>Glia</italic>, with 57, 41, and 31 articles, respectively, primarily covering Immunology, Neurosciences, and Multidisciplinary Sciences. Among these 10 journals, Molecular Neurodegeneration had the greatest impact, with an impact factor of 14.9.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Top 10 journals with articles on microglia in AD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="center">Citing journals</th>
<th align="center">Research categories</th>
<th align="center">Counts</th>
<th align="center">Journal impact factor 2023</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">
<italic>Journal of Neuroinflammation</italic>
</td>
<td align="center">Immunology; neurosciences</td>
<td align="center">57</td>
<td align="center">9.0</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">
<italic>Journal of Alzheimer&#x2019;s Disease</italic>
</td>
<td align="center">Neurosciences</td>
<td align="center">41</td>
<td align="center">3.4</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>Glia</italic>
</td>
<td align="center">Neurosciences</td>
<td align="center">31</td>
<td align="center">5.4</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">
<italic>Nature Communications</italic>
</td>
<td align="center">Multidisciplinary sciences</td>
<td align="center">30</td>
<td align="center">14.7</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">
<italic>International Journal of Molecular Sciences</italic>
</td>
<td align="center">Biochemistry and molecular biology; chemistry, multidisciplinary</td>
<td align="center">29</td>
<td align="center">4.9</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">
<italic>Molecular Neurodegeneration</italic>
</td>
<td align="center">Neurosciences</td>
<td align="center">27</td>
<td align="center">14.9</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">
<italic>Brain Behavior and Immunity</italic>
</td>
<td align="center">Immunology; neurosciences; psychiatry</td>
<td align="center">23</td>
<td align="center">8.8</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">
<italic>Acta Neuropathologica Communications</italic>
</td>
<td align="center">Neurosciences</td>
<td align="center">20</td>
<td align="center">6.2</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">
<italic>Molecular Neurobiology</italic>
</td>
<td align="center">Neurosciences</td>
<td align="center">19</td>
<td align="center">4.6</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">
<italic>Neurobiology of Aging</italic>
</td>
<td align="center">Geriatrics and gerontology; neurosciences</td>
<td align="center">19</td>
<td align="center">3.7</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-5">
<title>Keywords</title>
<p>CiteSpace was employed to analyze co-occurring collaborative networks of keywords using the parameters: &#x201c;Year Per Slice&#x201d; &#x3d; 1, &#x201c;Top N%&#x201d; &#x3d; 10.0%, and &#x201c;Minimum Duration&#x201d; &#x3d; 1. <xref ref-type="fig" rid="F5">Figure 5</xref> highlights the top 10 keywords with the strongest citation bursts, where strength indicates the intensity of the keyword&#x2019;s emergence. The red squares denote the timeline of keyword surges. The keywords that persisted until 2024 include &#x201c;memory,&#x201d; &#x201c;NLRP3 inflammasome,&#x201d; and &#x201c;system.&#x201d;</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Keywords with the strongest citation bursts for publications on microglia in AD.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g005.tif">
<alt-text content-type="machine-generated">Top 10 keywords with the strongest citation bursts from 2015 to 2024 are listed. Keywords like &#x22;in vivo,&#x22; &#x22;amyloid precursor protein,&#x22; and &#x22;nlrp3 inflammasome&#x22; show varying burst strengths and durations. Each keyword&#x27;s burst is visually represented with red lines against a timeline from 2015 to 2024.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-6">
<title>High-impact publications</title>
<p>Articles with high citation counts represent highly acknowledged research in the field of microglial research in AD and are classified as high-impact articles. <xref ref-type="table" rid="T4">Table 4</xref> presents the top 10 articles with the highest citations in this research area. These studies focused on investigating the pathological mechanisms of AD and the functions of microglia, including induction of neurotoxic astrocytes (A1 type) via secretion of inflammatory factors, identification of novel disease-associated microglia (DAM) and their role in A&#x3b2; clearance, synaptic pruning mediated by the complement pathway, and regulation of microglial phenotype transformation by the TREM2-APOE pathway. Additionally, microglial metabolic dysfunction, epigenetic reprogramming, and inflammasome involvement, along with the effects of genetic variants on microglial functions, were elucidated.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Articles with top 10 citation on microglia in AD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Rank</th>
<th align="left">Title of article</th>
<th align="left">DOI</th>
<th align="left">Times cited</th>
<th align="left">Interpretation of the findings</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Neurotoxic reactive astrocytes are induced by activated microglia</td>
<td align="left">10.1038/nature21029</td>
<td align="left">5043</td>
<td align="left">Microglia promote A1-type astrocyte generation via IL-1&#x3b1;, TNF, and C1q. These astrocytes lose neuroprotective function, induce neuronal and oligodendrocyte death, and contribute to multiple neurodegenerative diseases. Blocking A1 formation protects neurons</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">A unique microglia type associated with restricting development of Alzheimer&#x2019;s disease</td>
<td align="left">10.1016/j.cell.2017.05.018</td>
<td align="left">3198</td>
<td align="left">Single-cell transcriptomics revealed disease-associated microglia (DAM). They clear A&#x3b2; through a TREM2-dependent two-step activation: Downregulation of homeostatic markers, followed by upregulation of phagocytosis-related genes</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Complement and microglia mediate early synapse loss in Alzheimer mouse models</td>
<td align="left">10.1126/science.aad8373</td>
<td align="left">2134</td>
<td align="left">C1q attaches to synapses before plaques and triggers microglial CR3-mediated phagocytosis. Blocking complement prevents synaptic injury, showing aberrant complement-driven pruning as a key early AD mechanism</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases</td>
<td align="left">10.1016/j.immuni.2017.08.008</td>
<td align="left">1753</td>
<td align="left">The TREM2-APOE pathway regulates microglial phenotypic shift from homeostasis to neurodegeneration after phagocytosis of apoptotic neurons. Therapeutic targeting restores homeostasis and protects neurons</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">TREM2 Maintains microglial metabolic fitness in Alzheimer&#x2019;s disease</td>
<td align="left">10.1016/j.cell.2017.07.023</td>
<td align="left">805</td>
<td align="left">In AD patients and TREM2-deficient mice, microglia showed defective ATP synthesis and autophagosome accumulation. Dectin-1 activation or creatine supplementation rescued metabolism and reduced neuronal injury</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Microglia-derived ASC specks cross-seed amyloid-&#x3b2; in Alzheimer&#x2019;s disease</td>
<td align="left">10.1038/nature25158</td>
<td align="left">691</td>
<td align="left">Inflammasome-activated microglia release ASC specks that bind A&#x3b2;, promoting aggregation and spread. Blocking ASC suppresses pathology, linking neuroinflammation to A&#x3b2; propagation</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer&#x2019;s disease</td>
<td align="left">10.1038/ng.3916</td>
<td align="left">657</td>
<td align="left">Genetic study (85,133 participants) identified AD-associated variants: PLCG2-Pro522Arg (protective), ABI3-Ser209Phe and TREM2-Arg62His (risk). These genes form a microglia-centered immune network in AD pathogenesis</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer&#x2019;s disease</td>
<td align="left">10.1038/s41591-019-0695-9</td>
<td align="left">651</td>
<td align="left">Single-nucleus RNA sequencing revealed both TREM2-dependent microglial activation and unique human-specific responses (oligodendrocyte myelination defects, astrocyte metabolic dysregulation). TREM2 mutations weaken microglial responses</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Innate immune memory in the brain shapes neurological disease hallmarks</td>
<td align="left">10.1038/s41586-018-0023-4</td>
<td align="left">630</td>
<td align="left">Peripheral inflammation induces long-lasting microglial immune memory (training or tolerance). Training worsens A&#x3b2; pathology; tolerance mitigates it. Epigenetic reprogramming underlies this regulation</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">TREM2 binds to apolipoproteins, including APOE and CLU/APOJ, and thereby facilitates uptake of amyloid-beta by microglia</td>
<td align="left">10.1016/j.neuron.2016.06.015</td>
<td align="left">629</td>
<td align="left">TREM2 mediates microglial clearance of lipoprotein&#x2013;A&#x3b2; complexes. AD-associated TREM2 mutations impair this function, linking APOE-CLU-TREM2 risk network to impaired A&#x3b2; clearance.of the TREM2-APOE-CLU genetic risk network, and offering new targets for immunometabolic therapy in AD.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<sec id="s5-1">
<title>Overall data</title>
<p>AD is a neurodegenerative disease characterized by &#x3b2;-amyloid (A&#x3b2;) accumulation and abnormal phosphorylation of tau protein [<xref ref-type="bibr" rid="B6">6</xref>]. Moreover, Neuroinflammation has gradually been acknowledged as a pathological factor in AD progression [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>]. Microglia, as the central immune regulators in the CNS, undergo dysfunction and abnormal activation, thereby triggering chronic neuroinflammation and exacerbating cognitive impairment through multisystem synaptic damage [<xref ref-type="bibr" rid="B21">21</xref>]. The neuroimmune mechanisms mediated by microglia have emerged as a crucial focus in AD research, with notable advancements. This study analyzed articles from the WoSCC database during the last decade to uncover research hotspots and trends related to microglia in AD. Results showed that research on microglia in AD has increased rapidly over the past decade, with expanding global participation and closer international collaboration. The United States and China remain leading contributors, and high-impact studies are concentrated in top neuroscience institutions such as the University of California system and Harvard University, as well as in specialized journals such as <italic>Journal of Neuroinflammation</italic>.</p>
</sec>
<sec id="s5-2">
<title>Acknowledged research findings</title>
<p>High-impact articles have highlighted acknowledged findings regarding microglia in AD, emphasizing their pivotal role in disease pathogenesis. These articles illustrate alterations in microglial function across diverse pathological mechanisms, including A&#x3b2; clearance, synaptic pruning, inflammatory response, metabolic regulation, phenotypic transformation, immune memory, and genetic variation.</p>
<p>The pathological effects of microglia in AD involve multiple dimensions: (1) Impaired phagocytic and clearance capacity: Mutations in TREM2 reduce the ability of microglia to phagocytose and eliminate A&#x3b2;, resulting in increased A&#x3b2; deposition and accelerating pathological progression [<xref ref-type="bibr" rid="B22">22</xref>]. Furthermore, inflammasome-activated microglia release ASC specks that bind to A&#x3b2;, promoting its aggregation and spread, thereby intensifying amyloid pathology [<xref ref-type="bibr" rid="B23">23</xref>]. (2) Synaptic injury and dysregulated pruning: excessive activation of the complement system leads to over-pruning of synapses. C1q binds synapses prior to plaque formation, initiating synaptic pruning via microglial CR3 receptors, which worsens synaptic dysfunction [<xref ref-type="bibr" rid="B24">24</xref>]. (3) Neuroinflammation and glial cytotoxicity: microglia release inflammatory factors such as IL-1&#x3b1;, TNF, and C1q, driving the formation of neurotoxic A1 astrocytes that cause neuronal and oligodendroglial loss [<xref ref-type="bibr" rid="B25">25</xref>].</p>
<p>Microglia also exhibit intrinsic pathological changes: (1) Disrupted metabolism: under TREM2 deficiency, microglia accumulate autophagosomes and show impaired ATP production due to mitochondrial dysfunction. TREM2 supports microglial function by regulating energy metabolism [<xref ref-type="bibr" rid="B26">26</xref>]. (2) Dysregulated phenotypic switching: the TREM2&#x2013;APOE axis orchestrates the transition from homeostatic to disease-associated microglial phenotypes (e.g., DAM). Mutations disrupt this process and contribute to neurodegeneration [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>]. (3) Immune imprinting and epigenetic remodeling: peripheral inflammation triggers microglia to develop prolonged immune memory. While trained immunity exacerbates pathology, immune tolerance mitigates it. Furthermore, epigenetic reprogramming is critically involved in the neuropathology of AD [<xref ref-type="bibr" rid="B29">29</xref>]. (4) Genetic influences: AD-associated genetic variants (e.g., TREM2 mutations) impair microglial A&#x3b2; clearance and neuroprotection, further worsening disease progression [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>].</p>
<p>In conclusion, microglial dysfunction contributes to A&#x3b2; accumulation, synaptic degeneration, neuroinflammation, and neuronal loss in AD. These functional and phenotypic impairments are modulated by both genetic and epigenetic factors, as shown in <xref ref-type="fig" rid="F6">Figure 6</xref>. Altogether, these alterations constitute the neuroimmune foundation of AD and underscore microglia as a promising target for therapeutic intervention.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Acknowledged Findings on Microglial Dysfunction in AD. Intrinsic microglial alterations in AD include [<xref ref-type="bibr" rid="B1">1</xref>] disrupted metabolism (TREM2 deficiency, mitochondrial dysfunction) [<xref ref-type="bibr" rid="B2">2</xref>], impaired phenotypic switching (TREM2&#x2013;APOE axis failure, blocked DAM transition) [<xref ref-type="bibr" rid="B3">3</xref>], immune imprinting and epigenetic remodeling (peripheral inflammation, maladaptive epigenetic marks), and [<xref ref-type="bibr" rid="B4">4</xref>] genetic influences (TREM2 mutations). These abnormalities drive [<xref ref-type="bibr" rid="B1">1</xref>] impaired A&#x3b2; clearance (defective phagocytosis, ASC speck&#x2013;mediated aggregation) [<xref ref-type="bibr" rid="B2">2</xref>], synaptic injury and dysregulated pruning (C1q overactivation, CR3-dependent loss of synapses), and [<xref ref-type="bibr" rid="B3">3</xref>] neuroinflammation with glial cytotoxicity (release of IL-1&#x3b1;, TNF, C1q; induction of A1 astrocytes; neuronal and oligodendroglial loss). Final outcome involves neurodegeneration and cognitive decline in AD. Abbreviations: AD, Alzheimer&#x2019;s disease; DAM, disease-associated microglia; A&#x3b2;, amyloid-&#x3b2;; APOE, apolipoprotein E; CR3, complement receptor 3; IL, interleukin; TNF, tumor necrosis factor.</p>
</caption>
<graphic xlink:href="ebm-250-10808-g006.tif">
<alt-text content-type="machine-generated">Diagram juxtaposing &#x22;Intrinsic Pathologies&#x22; and &#x22;Core Pathological Mechanisms&#x22; in neurodegeneration. Intrinsic pathologies include disrupted metabolism, immune imprinting, dysregulated phenotypic switching, and genetic influences. Core mechanisms involve impaired phagocytic capacity, synaptic injury, and neuroinflammation, leading to cognitive decline and Alzheimer&#x27;s disease.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s5-3">
<title>Research hotspots</title>
<p>Analysis of articles from the WoSCC database over the past decade provides insights into research hotspots on microglia in AD. The progression of burst keywords across time highlights transitions of research hotspots in this field. During 2015&#x2013;2022, burst keywords such as &#x201c;<italic>in vivo</italic>,&#x201d; &#x201c;amyloid precursor protein,&#x201d;&#x201c;<italic>in vitro</italic>,&#x201d;&#x201c;central nervous system,&#x201d;&#x201c;oxidative stress,&#x201d;&#x201c;reveals,&#x201c;and &#x201c;TREM2 deficiency&#x201d; suggested a predominant emphasis on molecular pathology, neurodegeneration, and associated gene defects in early research. In particular, &#x201c;amyloid precursor protein&#x201d; is a pivotal molecule implicated in AD, with its aberrant processing leading to &#x3b2;-amyloid (A&#x3b2;) deposition and neuronal injury [<xref ref-type="bibr" rid="B32">32</xref>]. Integrating &#x201c;<italic>in vivo</italic>&#x201d; and &#x201c;<italic>in vitro</italic>&#x201d; approaches has offered crucial strategies for uncovering AD&#x2019;s molecular underpinnings [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. The degenerative changes in the &#x201c;central nervous system&#x201d; have emerged as a core focus, especially concerning microglial mechanisms in AD pathogenesis [<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>]. &#x201c;Oxidative stress&#x201d; alters microglial activity and contributes to the aggravation of neurodegeneration in AD [<xref ref-type="bibr" rid="B37">37</xref>]. The keyword &#x201c;reveals&#x201d; is commonly used in research findings to highlight the validated neurotoxicity of specific molecules (e.g., A&#x3b2;) or their efficacy as therapeutic targets [<xref ref-type="bibr" rid="B38">38</xref>]. &#x201c;TREM2 deficiency&#x201d; contributes significantly to microglial impairment, with TREM2 being essential for phagocytic activity, inflammatory modulation, and homeostatic balance. Moreover, mutations in this gene compromise these functions, promoting A&#x3b2; deposition and tau propagation [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>].</p>
<p>The keywords persisting until 2024 reflect current research hotspots: &#x201c;memory,&#x201d; &#x201c;NLRP3 inflammasome,&#x201d; and &#x201c;system.&#x201d;</p>
<p>&#x201c;Memory&#x201d;, as a core component of cognitive function, deteriorates characteristically in neurodegenerative diseases such as AD [<xref ref-type="bibr" rid="B41">41</xref>]. Evidence indicates that memory impairment in AD patients is associated not only with A&#x3b2; accumulation and tau pathology but also directly with synaptic plasticity deficits caused by microglial dysfunction [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>]. Moreover, hippocampal atrophy and functional decline observed in AD are linked to neuroinflammation and synaptic damage driven by abnormal microglial activity [<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>]. For instance, Li et al. demonstrated that hippocampal microglia regulate cellular communication through CCL and CSF signaling crosstalk, contributing to AD-related cognitive and memory decline [<xref ref-type="bibr" rid="B46">46</xref>]. Similarly, Wei Lei et al. showed that increased H3K18 lactylation in aging microglia activates the hippocampal NF-&#x3ba;B pathway, promoting inflammation and exacerbating AD-associated cognitive deficits [<xref ref-type="bibr" rid="B47">47</xref>]. Ye et al. observed increased AIM2 levels in microglia of AD mice, and targeted knockout of AIM2 in microglia markedly ameliorates synaptic plasticity disruptions and spatial memory deficits in these mice [<xref ref-type="bibr" rid="B48">48</xref>]. These studies suggest that memory impairments in AD patients are closely linked to microglia-driven neuropathological alterations, synaptic dysfunction, and cascades of neuroinflammation. Through modulating neuroinflammation, synaptic plasticity, and multiple other pathways, microglia are crucial contributors to the development and progression of memory impairments in AD.</p>
<p>&#x201c;NLRP3 inflammasome&#x201d;, an essential element of immune responses, exerts a prominent role in neuroinflammation driven by microglia. In AD, microglia sense pathogens or danger signals through receptors like TLRs, which trigger activation of NF-&#x3ba;B and the NLRP3 inflammasome. This inflammasome activates caspase-1, cleaves GSDMD to induce pyroptosis, and releases IL-1&#x3b2; and IL-18, further facilitating A&#x3b2; plaque propagation, which amplifies inflammation and neuronal injury. The death of neurons activates microglia, forming a vicious feedback loop that accelerates neurodegeneration [<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>]. According to Zhang et al., abnormal glutamine metabolism in microglia under AD pathology suppresses mitophagy through the AMPK/mTORC1 signaling pathway, resulting in reactive oxygen species (ROS) accumulation and selective activation of the NLRP3 inflammasome. Moreover, inhibition of glutaminase can block this process and improve cognitive impairment in AD [<xref ref-type="bibr" rid="B51">51</xref>]. Moonen et al. found distinct cell type-specific patterns of pyroptosis activation in AD brains: microglia showed classical activation of the NLRP3-ASC-caspase-1 pathway, while astrocytes and neurons induced GSDMD cleavage through caspase-8 and caspase-4, respectively [<xref ref-type="bibr" rid="B52">52</xref>]. These discoveries reveal that the microglial NLRP3 inflammasome contributes to neurodegeneration via distinct molecular pathways, offering new molecular targets for therapeutic strategies.</p>
<p>The keyword &#x201c;system&#x201d; denotes microglia as essential immune cells within the central nervous system, involved in AD progression through multiple critical systems. At the immune system level, Juul-Madsen et al. expanded the understanding of the peripheral-central immune system. Notably, he revealed that the complement receptor system mediates selective phagocytosis and lysosomal clearance of A&#x3b2; by peripheral monocytes and central microglia. Consequently, dysfunction in this system could be a key hallmark of the AD prodromal phase [<xref ref-type="bibr" rid="B53">53</xref>]. At the metabolic regulation level, Kaji et al. found that defective handling of APOE protein by microglia serves as a trigger for AD pathology. This lysosomal impairment promotes APOE protofibril buildup, which subsequently activates the JAK/STAT signaling pathway, leading to A&#x3b2; amyloid formation and plaque deposition, contributing to AD progression [<xref ref-type="bibr" rid="B54">54</xref>]. Haney et al. reported that the AD high-risk genotype APOE4/4 promotes lipid droplet accumulation in microglia via ACSL1 mediation, leading to Tau phosphorylation and neurotoxicity, highlighting lipid metabolic dysregulation as a key mechanism in AD pathogenesis [<xref ref-type="bibr" rid="B55">55</xref>]. At the cellular heterogeneity level, Wu et al. applied single-cell sequencing and identified 11 distinct microglial subtypes. Among these, AD-associated subpopulations exhibited significant synaptic dysfunction, revealing the intricate molecular heterogeneity of microglial responses in AD and providing a novel framework for targeted diagnosis and treatment [<xref ref-type="bibr" rid="B56">56</xref>]. Moreover, advances in technological intervention systems. Feng et al. developed a CNP-cardiolipin nanosystem that modulates the TLR4/NF-&#x3ba;B pathway to induce microglial polarization toward the M2 phenotype, thereby effectively improving AD pathology [<xref ref-type="bibr" rid="B13">13</xref>].</p>
</sec>
<sec id="s5-4">
<title>Trends discussion</title>
<p>The growing number of articles on microglia in AD highlights the prominence of this field, with recent emerging burst keywords and high-impact articles signaling shifting trends. This suggests that research focusing on microglia as a breakthrough point for neurodegenerative diseases is likely to become a major future direction. The keywords persisting until 2024- &#x201c;memory,&#x201d; &#x201c;NLRP3 inflammasome,&#x201d; and &#x201c;system&#x201d;- represent current research hotspots. Future research is expected to further focus on the molecular mechanisms by which microglia regulate neuroinflammation and synaptic plasticity, with particular attention to programmed cell death (such as pyroptosis) mediated by the NLRP3 inflammasome signaling pathway in the pathogenesis of AD. Meanwhile, with the advancement of systems biology, increasing emphasis will be placed on the multi-level interactions of microglia within immune, metabolic, and neural systems, elucidating their pivotal roles in systemic dysregulation associated with neurodegenerative diseases. High-impact studies have already employed cutting-edge technologies such as single-cell transcriptomics, genetic analysis, and single-nucleus RNA sequencing to uncover microglial heterogeneity and their multidimensional roles in AD pathology. These advanced techniques are expected to provide essential methodological support for future research, facilitating deeper exploration of microglial regulatory networks and their potential as therapeutic targets in AD. Overall, future investigations are likely to further elucidate the system-level functions of microglia in neurodegenerative diseases, offering new perspectives for early diagnosis and precision intervention.</p>
</sec>
<sec id="s5-5">
<title>Limitations</title>
<p>This study has several limitations that may compromise the comprehensiveness and generalizability of the findings. First, to ensure literature quality, only the WoSCC database was used, which might have led to an incomplete retrieval of relevant studies. Employing multiple databases could offer a broader perspective. Second, the search was restricted to English-language articles, potentially excluding valuable research published in other languages. Third, the document type was limited to article, possibly overlooking important contributions from other formats. Due to time constraints and the focus on emerging hotspots and trends, only articles from the past 10&#xa0;years were included, which may have resulted in partial coverage of the field. Furthermore, some relevant research findings may not be publicly available in the published literature.</p>
<p>Moreover, the research content of the selected articles presents several limitations. Current studies on the role of microglia in AD largely remain at the basic research stage. Methodologically, most existing studies rely on <italic>in vivo</italic> experiments using animal models (such as transgenic AD mice) and <italic>in vitro</italic> cell line studies, while direct evidence from human subjects remains limited. Although some investigations have examined human tissue samples, these efforts are constrained by small sample sizes and incomplete clinical information. In terms of mechanistic research, several pathological processes have been identified, including NLRP3 inflammasome activation, metabolic reprogramming, and synaptic pruning abnormalities. However, the lack of systematic integration and the methodological heterogeneity across laboratories have resulted in fragmented and sometimes inconsistent findings. Furthermore, most therapeutic interventions targeting microglia are still in the experimental or early clinical research phases, facing technical challenges such as poor blood-brain barrier permeability, limited specificity, and potential adverse effects. Given the substantial heterogeneity of microglia and the individual variability among AD patients, achieving precise and personalized interventions.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>This study systematically analyzed microglia-related research in AD over the past decade through bibliometric methods, offering a comprehensive overview of the field&#x2019;s current landscape, emerging hotspots, and future trends, while providing an in-depth analysis of the underlying mechanisms. The results indicate a growing global interest in the mechanisms of microglial involvement in AD since 2021, with the United States and China emerging as the most influential contributors. Leading institutions include the University of California system and Harvard University. <italic>Journal of Neuroinflammation</italic> was the journal with the highest number of articles. Through NLRP3 inflammasome activation, microglia orchestrate neuroinflammatory responses in concert with systemic immune, metabolic, and cellular alterations, contributing to AD&#x2019;s pathology and cognitive deficits&#x2014;a rapidly expanding area of research interest. High-impact articles concentrate on microglial activation, metabolic regulation, epigenetic alterations, inflammasome signaling, and genetic variants, offering theoretical insights into disease pathogenesis and guiding therapeutic development. However, an in-depth investigation into the dynamic transitions and regulatory networks of microglia across different AD stages is essential to support early diagnosis and precision therapy, ultimately improving clinical outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>XW, YG, and YZ conceived and designed the analysis, performed the analysis, and wrote the manuscript; SW, WY, and QJ designed the research, acquired the article information, and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="data-availability" id="s12">
<title>Data availability</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
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