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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2025.1616390</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Reduced synaptic tagging by complement protein C3 is associated with elevated extracellular matrix in the middle-aged cerebellum of mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>D&#x00FC;sedau</surname> <given-names>Henning Peter</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Cangalaya</surname> <given-names>Carla</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Stoyanov</surname> <given-names>Stoyan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Dityatev</surname> <given-names>Alexander</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2021;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Dunay</surname> <given-names>Ildiko Rita</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2021;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Institute of Inflammation and Neurodegeneration, Health Campus Immunology, Infectiology and Inflammation (GC-I<sup>3</sup>), Otto-von-Guericke-University</institution>, <addr-line>Magdeburg</addr-line>, <country>Germany</country></aff>
<aff id="aff2"><sup>2</sup><institution>Molecular Neuroplasticity Research Group, German Center for Neurodegenerative Diseases (DZNE)</institution>, <addr-line>Magdeburg</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><sup>3</sup><institution>Center for Behavioral Brain Sciences (CBBS)</institution>, <addr-line>Magdeburg</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><sup>4</sup><institution>Medical Faculty, Otto-von-Guericke-University</institution>, <addr-line>Magdeburg</addr-line>, <country>Germany</country></aff>
<aff id="aff5"><sup>5</sup><institution>German Center for Mental Health (DZPG)</institution>, <addr-line>Magdeburg</addr-line>, <country>Germany</country></aff>
<aff id="aff6"><sup>6</sup><institution>Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C)</institution>, <addr-line>Halle-Jena-Magdeburg</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn id="fn0003" fn-type="edited-by"><p>Edited by: Wei Zhao, Icahn School of Medicine at Mount Sinai, United States</p></fn>
<fn id="fn0004" fn-type="edited-by"><p>Reviewed by: Laura Jayne Westacott, Cardiff University, United Kingdom</p>
<p>Stephen Salton, Icahn School of Medicine at Mount Sinai, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ildiko Rita Dunay, <email>ildiko.dunay@med.ovgu.de</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="equal" id="fn0002"><p><sup>&#x2021;</sup>These authors have contributed equally to this work and share last authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>17</volume>
<elocation-id>1616390</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 D&#x00FC;sedau, Cangalaya, Stoyanov, Dityatev and Dunay.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>D&#x00FC;sedau, Cangalaya, Stoyanov, Dityatev and Dunay</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Aging of the brain is associated with cognitive decline and recognized as a major risk factor for the development of neurodegenerative diseases. On a cellular level, brain aging is accompanied by a progressive increase of the basal pro-inflammatory tonus, leading to the activation of phagocytic pathways in brain-resident microglia and disruptive effects on synaptic neurotransmission. While the aging process affects all brain compartments at different velocities and one of the particularly affected regions is the cerebellum (CB), the underlying effects remain elusive.</p>
</sec>
<sec>
<title>Methods</title>
<p>In the present study, we harnessed a murine model of natural aging in males combined with orthogonal experimental approaches comprising of cytokine gene expression analysis, flow cytometry, immunohistochemistry, and flow synaptometry.</p>
</sec>
<sec>
<title>Results</title>
<p>We report age-dependent morphological and phenotypic changes in microglia that are distinct in the cortex (CTX) and CB. Furthermore, we show an increased expression of cytokines and complement factors upon aging and a decline of C3-tagged VGLUT1<sup>+</sup> presynaptic puncta in the CB. Using flow synaptometry to quantify the composition of synapses in more detail, we validated the reduction of C3b-labeled excitatory synaptosomes while the overall frequency of glutamatergic synaptosomes remained unaffected by aging. Notably, proteoglycans brevican and aggrecan, key components of the neural extracellular matrix, were significantly upregulated in the middle-aged CB.</p>
</sec>
<sec>
<title>Discussion</title>
<p>The data presented herein suggests the ECM-mediated shielding of synapses from complement-tagging and subsequent engulfment by microglia. Thus, we provide novel insights into mechanisms that may confer resilience in the brain by modulating synapse removal in the context of aging.</p>
</sec>
</abstract>
<kwd-group>
<kwd>extracellular matrix</kwd>
<kwd>proteoglycans</kwd>
<kwd>aging</kwd>
<kwd>microglia</kwd>
<kwd>cerebellum</kwd>
<kwd>complement system</kwd>
<kwd>synaptic pruning</kwd>
<kwd>synaptosomes</kwd>
</kwd-group>
<contract-num rid="cn1">T0531/43703/2023/hhe</contract-num>
<contract-sponsor id="cn1">DZNE Stiftung</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="80"/>
<page-count count="12"/>
<word-count count="9619"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurocognitive Aging and Behavior</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Aging is an inescapable biological process that leads to a gradual decline in physiological and cognitive functions. Although advancements in healthcare and living conditions have significantly increased life expectancy in modern societies, population aging has become a prominent issue that poses significant challenges, including the impact on healthcare resources and quality of life. In the central nervous system (CNS), normal aging is marked by structural changes due to the constant reduction of grey matter (<xref ref-type="bibr" rid="ref3">Aljondi et al., 2019</xref>) but also cellular alterations that impact gene expression, metabolism, and synaptic plasticity (<xref ref-type="bibr" rid="ref6">Bettio et al., 2017</xref>). Consequently, aging remains to be recognized as a major risk factor for the development of neurodegenerative diseases (<xref ref-type="bibr" rid="ref1">Adamczyk-Sowa et al., 2022</xref>; <xref ref-type="bibr" rid="ref12">Costantini et al., 2018</xref>; <xref ref-type="bibr" rid="ref38">Jurcau et al., 2024</xref>; <xref ref-type="bibr" rid="ref2">Ajoolabady et al., 2024</xref>). One region of the brain particularly affected by the aging process is the cerebellum (CB), which plays a crucial role in motor coordination, balance, and cognitive processing. This decline in cerebellar function has been associated with the onset of motor deficits, such as decreased coordination and gait disturbances, as well as cognitive impairments and memory (<xref ref-type="bibr" rid="ref47">McElroy et al., 2024</xref>). Noteworthy, the CB has been shown to display disproportional loss of Purkinje neurons and age-related impairment in long-term depression in mice (<xref ref-type="bibr" rid="ref76">Woodruff-Pak et al., 2010</xref>), but the underlying effects have not been fully explored.</p>
<p>In the healthy brain, microglia represent the predominant resident population of immune cells and perform a variety of tasks. Given their origin as yolk sac-derived macrophages (<xref ref-type="bibr" rid="ref30">Ginhoux et al., 2010</xref>), microglia are capable of removing cellular debris and modulating the complex network of proteins and carbohydrates that form the extracellular matrix (<xref ref-type="bibr" rid="ref53">Nguyen et al., 2020</xref>). Moreover, microglia take a central role in sculpting the brain&#x2019;s neuronal network by engulfing and removing weak or surplus synaptic inputs with the involvement of the complement system (<xref ref-type="bibr" rid="ref66">Stevens et al., 2007</xref>; <xref ref-type="bibr" rid="ref61">Schafer et al., 2012</xref>; <xref ref-type="bibr" rid="ref52">Neniskyte and Gross, 2017</xref>). Upon infection or tissue damage, microglia act as the first line of defense and respond by the release of inflammatory mediators, such as interleukin (IL)-1&#x03B2;, IL-6, complement factors, and tumor necrosis factor (TNF) in addition to chemoattractants that stimulate the recruitment of peripheral immune cells, ultimately culminating in neuroinflammation (<xref ref-type="bibr" rid="ref11">Colonna and Butovsky, 2017</xref>; <xref ref-type="bibr" rid="ref75">Wolf et al., 2017</xref>). However, if not self-limited, chronic and persistent neuroinflammation is considered detrimental and associated with several neuropsychiatric and neurodegenerative diseases (<xref ref-type="bibr" rid="ref79">Zhang et al., 2023</xref>; <xref ref-type="bibr" rid="ref33">Heneka et al., 2015</xref>). This is further supported by the observation of a re-activated excessive pruning of viable synapses by aberrantly and irregularly activated microglia during neuroinflammatory conditions (<xref ref-type="bibr" rid="ref35">Hong et al., 2016</xref>; <xref ref-type="bibr" rid="ref74">Vasek et al., 2016</xref>). Notably, brain aging is accompanied by chronic, low-grade neuroinflammation driven by a progressive increase in the inflammatory tone of the innate immune system (<xref ref-type="bibr" rid="ref23">Franceschi et al., 2018</xref>). Aging is, therefore, linked to the emergence of cellular senescence and age-dependent dysregulation of microglia (<xref ref-type="bibr" rid="ref48">Melo Dos Santos et al., 2024</xref>; <xref ref-type="bibr" rid="ref13">Damani et al., 2011</xref>; <xref ref-type="bibr" rid="ref63">Sikora et al., 2021</xref>).</p>
<p>Despite the remarkable progress that has been made in the understanding of the transcriptomic and proteomic landscape of the brain, the susceptibility of the CB to age-dependent cognitive decline is still not fully understood. Here, we demonstrate in a mouse model of natural aging that microglia undergo distinct morphological and phenotypic changes in subdomains of the cortex (CTX) and CB. Utilizing a multifaceted research approach encompassing immunohistochemistry and flow cytometry, our study underscores the increased expression of lysosomal and phagocytosis-associated markers by microglia in the middle-aged CB, concomitant with elevated transcript levels of complement factors <italic>C1qa</italic> and <italic>C3</italic>. Multi-parametric flow synaptometry, however, showed a reduced number of C3-tagged VGLUT1<sup>+</sup> synaptic terminals in the middle-aged CB. In line with these findings, no changes were observed in the overall abundance of glutamatergic synapses, ruling out the active removal of excitatory synapses by activated microglia. Lastly, our study highlights the marked increase of aggrecan and brevican expression in the CB of naturally aged mice, proposing an ECM-dependent mechanism to interfere with complement-dependent synapse removal in the process of aging.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Animals</title>
<p>In this study, experiments were performed with young (12-weeks-old) and naturally aged (1-year-old) male C57BL/6 mice, originally purchased from Jackson Laboratory (Bar Harbor, ME, United States) and all bred in the animal facility of the DZNE site in Magdeburg, Germany. Animals were group-housed for the respective time period under specific pathogen-free conditions in individual-ventilated cages with a 12&#x202F;h day/night cycle with free access to food and water. All animal care was in accordance with institutional guidelines and experiments were performed in accordance with the German National Guidelines for the Use of Experimental Animals and the protocol approved by the Landesverwaltungsamt Saxony-Anhalt (42502-2-1346 DZNE).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Cell isolation</title>
<p>Tissue collection and cell isolation were performed as described previously (<xref ref-type="bibr" rid="ref17">D&#x00FC;sedau et al., 2021</xref>). In brief, mice were deeply anesthetized with Isoflurane (CP Pharma, Burgdorf, Germany) and perfused intracardially with 60&#x202F;mL sterile phosphate-buffered saline (PBS) prior to brain extraction. For subsequent analysis by flow cytometry, brains were dissected into cortex (CTX) and cerebellum (CB) according to the Allen Mouse Brain Atlas (<xref ref-type="bibr" rid="ref41">Lein et al., 2007</xref>), collected in separate tubes and homogenized in a buffer containing Hank&#x2019;s balanced salt solution (HBSS, Gibco, New York, NY, United States), 13&#x202F;mM HEPES (pH 7.3, Thermo Fisher Scientific, Waltham, MA, United States) and 0.68% glucose before sieving through a 70&#x202F;&#x03BC;m cell strainer. The homogenate was fractioned on a discontinuous isotonic 30&#x2013;70% Percoll gradient (GE Healthcare, Chicago, IL, United States). Immune cells were collected from the 30/70% Percoll interphase, washed in PBS and immediately processed for subsequent flow cytometric analysis.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>RNA isolation</title>
<p>Tissue samples were collected as described above and stored in RNAlater solution (Sigma-Aldrich, #R0901). Isolated brain regions were homogenized in lysis buffer using BashingBeads Lysis tubes (Zymo Research Europe, Freiburg, Germany) and RNA was isolated using AllPrep DNA/RNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer&#x2019;s instructions. Concentration and purity of isolated RNA was determined using a NanoDrop 2000 spectrophotometer (Thermo Fisher) and RNA was stored at -80&#x00B0;C until further use.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Reverse transcription qPCR</title>
<p>Gene expression levels were assessed using 30&#x202F;ng isolated RNA. Amplification was carried out with TaqMan<sup>&#x00AE;</sup> RNA-to-CT&#x2122; 1-Step Kit (Applied Biosystems, Foster City, CA, United States) and LightCycler<sup>&#x00AE;</sup> 96 (Roche, Basel, Switzerland) as previously described (<xref ref-type="bibr" rid="ref21">Figueiredo et al., 2022</xref>). Thermal-cycling parameters were set as follows: reverse transcription (48&#x00B0;C, 30&#x202F;min), enzyme activation (95&#x00B0;C, 10&#x202F;min) followed by 55&#x202F;cycles of denaturation (95&#x00B0;C, 15&#x202F;s) and annealing/extension (60&#x00B0;C, 1&#x202F;min). Utilized TaqMan<sup>&#x00AE;</sup> Gene Expression Assays (Applied Biosystems) are listed in <xref ref-type="table" rid="tab1">Table 1</xref>. For relative quantification, expression of <italic>Hprt</italic> was chosen as reference and relative target gene mRNA levels were determined by the ratio target gene / reference gene and subsequently normalized to the mean values of young cortex group.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>TaqMan<sup>&#x00AE;</sup> assays used for RT-qPCR analyses.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Protein</th>
<th align="left" valign="top">Gene</th>
<th align="left" valign="top">Assay ID</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">C1qa</td>
<td align="left" valign="middle"><italic>C1qa</italic></td>
<td align="left" valign="middle">Mm00432142_m1</td>
</tr>
<tr>
<td align="left" valign="middle">C3</td>
<td align="left" valign="middle"><italic>C3</italic></td>
<td align="left" valign="middle">Mm01232779_m1</td>
</tr>
<tr>
<td align="left" valign="middle">HPRT</td>
<td align="left" valign="middle"><italic>Hprt</italic></td>
<td align="left" valign="middle">Mm01545399_m1</td>
</tr>
<tr>
<td align="left" valign="middle">IL-1&#x03B2;</td>
<td align="left" valign="middle"><italic>Il1b</italic></td>
<td align="left" valign="middle">Mm00434228_m1</td>
</tr>
<tr>
<td align="left" valign="middle">IL-6</td>
<td align="left" valign="middle"><italic>Il6</italic></td>
<td align="left" valign="middle">Mm00446190_m1</td>
</tr>
<tr>
<td align="left" valign="middle">TGF-&#x03B2;</td>
<td align="left" valign="middle"><italic>Tgfb1</italic></td>
<td align="left" valign="middle">Mm01178820_m1</td>
</tr>
<tr>
<td align="left" valign="middle">TNF</td>
<td align="left" valign="middle"><italic>Tnf</italic></td>
<td align="left" valign="middle">Mm00443258_m1</td>
</tr>
<tr>
<td align="left" valign="middle">TREM2</td>
<td align="left" valign="middle"><italic>Trem2</italic></td>
<td align="left" valign="middle">Mm04209422_m1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Immunohistochemistry</title>
<p>Mice were deeply anesthetized and perfused as described above, then isolated brains were dissected and fixed in 4% paraformaldehyde-phosphate buffer. Subsequently, brains were cryoprotected in 30% sucrose and stored in 100% 2-methylbutane at -80&#x00B0;C. 50&#x202F;&#x03BC;m-thick coronal sections were prepared using a microtome and stored at 4&#x00B0;C, floating in a solution containing one part ethylene glycol, one part glycerin, and two parts PBS (pH&#x202F;=&#x202F;7.2). Coordinates to identify different brain regions were determined using the <xref ref-type="bibr" rid="ref24">Franklin and Paxinos (2008)</xref> mouse brain atlas in sagittal sections (<xref ref-type="bibr" rid="ref24">Franklin and Paxinos, 2008</xref>). The motor cortex (MC) was located between ML 2.04, AP 2.8 to 1&#x202F;mm, DV 0.5 to 2&#x202F;mm, while the somatosensory cortex (SC) was located between ML 2.04, AP 1.5 to -1.5&#x202F;mm, DV 0.0 to 1.2&#x202F;mm. The retrosplenial cortex (RSC) was found around ML 0.48&#x202F;mm, AP -1.0 to -4.0&#x202F;mm, and DV 0 to 1&#x202F;mm. The deep cerebellar nuclei (DCN) were located around coordinates ML 2.04, AP -6.0&#x202F;mm, DV 3&#x202F;mm, and the cerebellar cortex (CC) above the DCN was located around ML 2.04, AP -5.0 to -8.0&#x202F;mm, DV 1 to 3&#x202F;mm. For immunostaining, sections were first washed in PBS three times for 10&#x202F;min each, followed by blocking in 5% normal goat serum (NGS) (Gibco, Cat# 16210-064) with 0.5% Triton X-100/PBS for 1&#x202F;h at room temperature. Sections were then incubated for 48&#x202F;h at 4&#x00B0;C with primary antibodies diluted in the blocking solution: anti-IBA1 (1:500, rabbit, Cat# 019-19741, Wako), anti-CD68 (1:500, rat, Cat# MCA1957, Bio-Rad), anti-VGLUT1 (1:1000, chicken, Cat# 135316, Synaptic Systems), anti-Homer1 (1:500, guinea pig, Cat# 160004, Synaptic Systems), anti-brevican (1:500, guinea pig) (<xref ref-type="bibr" rid="ref37">John et al., 2006</xref>), anti-C3 (1:500, rat, Cat# HM1045, Hycultec), and anti-aggrecan (1:000, rabbit, Cat#AB1031, Merck Millipore). After primary antibody incubation, sections were washed again in PBS three times for 10&#x202F;min each. Sections were then incubated with secondary antibodies (goat anti-rabbit Alexa Fluor&#x2122; 488, 1:500; goat anti-rat Alexa Fluor&#x2122; 647, 1:500; goat anti-chicken Alexa Fluor&#x2122; 547, 1:500; Invitrogen) for 3&#x202F;h at room temperature on a shaker. Following a final wash in PBS three times for 10&#x202F;min each, sections were mounted on Superfrost Plus slides with Fluoromount mounting media (Sigma-Aldrich, Cat# F4680). Confocal microscopy was performed with a Zeiss LSM 700 microscope equipped with EC Plan-Neofluar 20x objective (1024&#x00D7;1024 pixels, 10 optical sections, 1&#x202F;&#x03BC;m intervals between sections).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Histochemical measurements</title>
<p>For the quantification of microglial IBA1 area (%), three 20x images of different cortical and cerebellar areas were acquired per mouse. Z-stacks were converted to maximum intensity projections and IBA1 staining was automatically thresholded (Otsu dark) using FIJI software. Particles were analyzed to determine IBA1<sup>+</sup>&#x202F;area (<xref ref-type="bibr" rid="ref5">Balig&#x00E1;cs et al., 2024</xref>).</p>
<p>CD68, brevican, and aggrecan intensity were measured in brain regions of interest using confocal microscopy at a 20x objective, with comparable sections from each animal. Mean intensity for all antibodies (CD68, brevican, and aggrecan) was quantified using FIJI. For microglial lysosome size quantification, 4&#x2013;6 z-stacks were acquired at a 20x objective, maintaining consistent microscope settings across all samples. Z-stacks were then converted to maximum intensity projections using FIJI/ImageJ. An intensity threshold for CD68 quantification was manually selected and applied to all sections. Following thresholding, particles were analyzed, and relative area, number, and average size were recorded.</p>
<p>For quantification of VGLUT1<sup>+</sup> HOMER1<sup>+</sup>&#x202F;and C3-labeled synapses, 4&#x2013;6 z-stacks were obtained with a 63x (NA 1.4) oil immersion objective. Microscope settings were kept the same for all samples that were compared. The numbers of VGLUT1<sup>+</sup> HOMER1<sup>+</sup> puncta and synaptic C3-puncta were automatically quantified using a FIJI Synapse Counter plugin (<xref ref-type="bibr" rid="ref18">Dzyubenko et al., 2016</xref>), the latter was defined by counting C3<sup>+</sup>&#x202F;puncta colocalized with VGLUT1<sup>+</sup>&#x202F;puncta.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Flow cytometric analysis</title>
<p>For flow cytometric analysis of cell phenotypes, freshly isolated cells were first incubated with Zombie NIR&#x2122; fixable dye (BioLegend, CA, United States) for live/dead discrimination and with anti-Fc&#x03B3;III/II receptor antibody (clone 93) to prevent unspecific binding of antibodies. Cells were further stained with the following fluorochrome-conjugated antibodies against cell surface markers in FACS buffer (PBS containing 2% fetal bovine serum and 0.1% sodium azide): eFluor&#x2122; 450-F4/80 (clone BM8) and FITC-MHC Class I (clone 28-14-8), APC-CD11b (clone M1/70) (purchased from eBioscience&#x2122;, San Diego, CA, United States), Brilliant Violet&#x2122; 510-CD45 (clone 30-F11), PerCP/Cy5.5-CD80 (clone 16-10A1), PE/Dazzle594&#x2122;-CX3CR1 (clone SA011F11) (purchased from BioLegend), and PE-TREM2 (clone 237,920) (purchased from R&#x0026;D Systems Inc., Minneapolis, MN, United States). Cells were acquired using an Attune NxT flow cytometer (Thermo Fisher) and obtained data were analyzed using FlowJo software (version 10.5.3, FlowJo LLC, OR, United States). Fluorescence Minus One (FMO) controls were used to determine the level of autofluorescence.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Synaptosome isolation and flow synaptometry</title>
<p>Tissue samples from CTX and CB were harvested as described above, snap-frozen in liquid nitrogen and stored at -80&#x00B0;C. Isolation of crude synaptosomes was performed as described elsewhere (<xref ref-type="bibr" rid="ref17">D&#x00FC;sedau et al., 2021</xref>) and freshly isolated synaptosomes were resuspended in SET buffer (320&#x202F;mM sucrose, 1&#x202F;mM EDTA, 5&#x202F;mM Tris, pH&#x202F;7.4) with 5% DMSO, aliquoted, slowly frozen (-1&#x00B0;C&#x202F;/&#x202F;min), and stored (-80&#x00B0;C) until further use (<xref ref-type="bibr" rid="ref34">Hobson and Sims, 2019</xref>). Thawed synaptosomes were centrifuged (14,000 <italic>g</italic>, 10&#x202F;min, 4&#x00B0;C), fixed and permeabilized (Foxp3&#x202F;/&#x202F;Transcription Factor Staining Buffer Set, 45&#x202F;min, 4&#x00B0;C), washed with SET buffer, centrifuged (14,000&#x202F;g, 10&#x202F;min, 4&#x00B0;C), and resuspended in permeabilization buffer with 10% normal goat serum (heat-inactivated). Primary antibodies against synaptophysin (1:2000, Cat# 101308, Synaptic Systems), synaptobrevin 2 (1:1000, Cat# 104318, Synaptic Systems), GluR1 (1:400, Cat# 13185, Cell Signaling Technology), GluR1 (1:400, Cat# ABN241, Merck Millipore), and C3b (1:200, Cat# MA1-70053, Thermo Fisher) were added and incubated (45&#x202F;min, 4&#x00B0;C), washed, and co-stained (45&#x202F;min, 4&#x00B0;C) with: goat anti-guinea pig AlexaFluor&#x2122;&#x202F;546 (1:200, Cat# A11074, Thermo Fisher), goat anti-rabbit AlexaFluor&#x2122;&#x202F;488 (1:4000, #A32731, Thermo Fisher), goat anti-mouse AlexaFluor&#x2122;&#x202F;405 (1:200, Cat# A31553, Thermo Fisher). Synaptosomes were washed, stained with FM&#x2122;4-64FX (0.2&#x202F;&#x03BC;g/mL, Cat# F34653, Thermo Fisher), diluted, and acquired using an Attune&#x2122;&#x202F;NxT flow cytometer. Data were analyzed using FlowJo.</p>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Statistical analysis</title>
<p>Statistical analysis of data was done using GraphPad Prism 7 (GraphPad Software, CA, United States). Results of flow cytometry were z-score normalized and subsequently plotted as a heatmap using R (version 4.5.0) (<xref ref-type="bibr" rid="ref56">R Core Team, 2025</xref>) with &#x201C;lattice&#x201D; package (<xref ref-type="bibr" rid="ref60">Sarkar, 2008</xref>). Data shown are representative of three independent experiments. In all cases, results are presented as arithmetic mean and were considered significant, with <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<p>Previously, aging of the brain has been shown to be accompanied by progressive elevation of innate cytokine expression levels (<xref ref-type="bibr" rid="ref23">Franceschi et al., 2018</xref>). To study the susceptibility of the CB to aging, we used a murine model of natural aging and compared the gene expression of IL-1&#x03B2;, IL-6, TNF, and TGF-&#x03B2; in the CTX and CB of young (12-weeks-old) and naturally middle-aged (1-year-old) male C57BL/6 mice (<xref ref-type="fig" rid="fig1">Figure 1A</xref>). We detected that aging induced a prominent increase in <italic>Tnf</italic> expression levels in the CTX that was accompanied by a similar, although not significant, trend in the CB (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.085). We also observed an upregulation of <italic>Il1b</italic> expression, but only in the CB of middle-aged animals, while levels of <italic>Il1b</italic> expression in middle-aged CTX samples remained unaltered. Interestingly, gene expression analysis revealed a striking difference in the abundance of both <italic>Il6</italic> and <italic>Tgfb1</italic> mRNA copies in young animals with elevated levels found in the CB compared to CTX, indicating a divergent development upon aging. Whereas <italic>Il6</italic> expression levels in the CTX tended to increase with age (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0757), levels in the CB were significantly decreased upon aging. Similarly, <italic>Tgfb1</italic> expression was considerably reduced between young and middle-aged CB. Taken together, RT-qPCR analysis of cytokine gene expression levels indicated notable differences in young and middle-aged CTX and CB.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Aging induces region-specific upregulation of phagocytosis markers in microglial cells. <bold>(A)</bold> Gene expression levels of IL-1&#x03B2; (<italic>Il1b</italic>), IL-6 (<italic>Il6</italic>), TGF-&#x03B2; (<italic>Tgfb1</italic>), and TNF (<italic>Tnf</italic>) in cortex (CTX) and cerebellum (CB) of young (white bars) and middle-aged (grey bars) mice were examined using RT-qPCR. Expression levels of target genes were normalized to the expression level of <italic>Hprt</italic> and subsequently, relative expression was normalized to the mean expression level in CTX of young animals to obtain the fold change. <bold>(B)</bold> Overview of subregions in CTX and CB used for immunohistochemistry of microglial cells. <bold>(C)</bold> Panels depict immunofluorescence imaging of microglial cells stained with antibodies against IBA1 and CD68 in CTX (left) and CB (right) of young (upper panels) or middle-aged (bottom panels) mice. <bold>(D,E)</bold> Bar charts illustrate quantified data from <bold>(C)</bold> for the different subregions of CTX and CB. <bold>(F&#x2013;H)</bold> Flow cytometric characterization of microglia isolated from CTX and CB of young and middle-aged mice. <bold>(F,G)</bold> Gating strategy applied for the identification of microglia. First, cells were selected based on forward scatter/side-scatter light properties (FSC/SSC), displaying distinct alterations between young and middle-aged cells. <bold>(G)</bold> Upon exclusion of dead cells, only CD45<sup>+</sup> events were selected (not shown) and subsequently gated for CD45/CD11b expression. Microglia were selected as CD45<sup>+</sup>CD11b<sup>+</sup> cells, representing the largest population of immune cells in both CTX and CB. <bold>(H)</bold> Heatmap of z-score-normalized microglial surface marker expression and SSC properties. Data are shown as mean &#x00B1; SEM and were compared by two-way ANOVA with Tukey&#x2019;s <italic>post-hoc</italic> correction. Significant differences are indicated by &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, &#x002A;&#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001.</p></caption>
<graphic xlink:href="fnagi-17-1616390-g001.tif"/>
</fig>
<p>As these cytokines are attributed to the innate immune system (<xref ref-type="bibr" rid="ref40">Lacy and Stow, 2011</xref>), we wondered whether aging asymmetrically affected the activation of microglial cells in these two regions. Consequently, microglia were examined on a cellular level by immunofluorescence microscopy (IF) in distinct regions of the CTX (motor cortex, somatosensory cortex, and retrosplenial cortex) and CB (cerebellar cortex and deep cerebellar nuclei) (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). We utilized the pan-myeloid marker Ionized calcium-binding adaptor molecule 1 (IBA1) to label microglia and detected that aging induced an upregulation in IBA1 levels in the retrosplenial cortex (RSC) and deep cerebellar nuclei (DCN) (<xref ref-type="fig" rid="fig1">Figures 1C</xref>&#x2013;<xref ref-type="fig" rid="fig1">E</xref>). In addition, the signal overlap between IBA1 and the lysosomal marker CD68 was significantly elevated in two studied CB subregions, DCN and cerebellar cortex (CC), consistent with an increased phagocytic capacity of microglia. However, no change was observable in the studied CTX subregions. Since microglia activation states are heterogeneous, complex, and dynamic (<xref ref-type="bibr" rid="ref55">Paolicelli et al., 2022</xref>), we next performed multi-parametric flow cytometry of freshly isolated brain cells. We identified microglial cells based on the expression levels of CD45 and CD11b as CD45<sup>int</sup>CD11b<sup>+</sup> (<xref ref-type="fig" rid="fig1">Figures 1F</xref>,<xref ref-type="fig" rid="fig1">G</xref>) and observed regional differences in the frequency of these cells in CTX and CB (<xref rid="SM1" ref-type="supplementary-material">Supplementary material A</xref>), in addition to higher internal complexity of these cells upon aging, i.e., greater values measured in the side-scatter light (SSC) parameter (<xref ref-type="fig" rid="fig1">Figure 1H</xref>). Nonetheless, microglia represented the major population of immunocytes in all experimental groups and we consequently sought to characterize their expression levels of surface receptors associated with function and activity levels (<xref ref-type="fig" rid="fig1">Figure 1H</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary material B&#x2013;G</xref>). We detected regional and aging-dependent differences in the microglial surface expression of CD45, CD80, TREM2, and CX3CR1. Interestingly, cerebellar microglia displayed a contrasting pattern to cortical microglia by showing a substantial increase in major histocompatibility I (MHC I) and F4/80 expression levels upon aging, thereby reconfirming our microscopy results and a greater phagocytic activity when compared to cells isolated from middle-aged CTX. TREM2 plays a role in neurodegenerative diseases where its elevated expression is a hallmark of disease-associated microglia (<xref ref-type="bibr" rid="ref39">Keren-Shaul et al., 2017</xref>; <xref ref-type="bibr" rid="ref14">Deczkowska et al., 2018</xref>), but it can also be cleaved from cell surfaces. With respect to the decreased surface expression we detected upon aging, we additionally tested whether altered <italic>Trem2</italic> expression levels could be accountable for this observation (<xref rid="SM1" ref-type="supplementary-material">Supplementary material H</xref>). Notably, expression levels were low in the young CB but converged to those of the CTX in the middle-aged brain, conclusively suggesting the possibility of an increased shedding of TREM2 from microglial surfaces upon aging.</p>
<p>As resident macrophages and housekeepers of the brain, microglia perform typical phagocytosis-associated tasks such as the removal of debris and dead cells, but also exert an important role in the fine-tuning of neuronal circuits (<xref ref-type="bibr" rid="ref8">Butovsky and Weiner, 2018</xref>). Through the engulfment and associated removal of synapses, microglia contribute to synaptic plasticity and normal function of the brain. This process is further regulated by factors of the complement system, which are required to tag synapses for the subsequent engulfment by microglia in multiple brain regions (<xref ref-type="bibr" rid="ref61">Schafer et al., 2012</xref>; <xref ref-type="bibr" rid="ref66">Stevens et al., 2007</xref>). In light of the upregulation of phagocytosis-related and lysosomal markers, especially in microglia from middle-aged CB samples, we next determined the gene expression levels of <italic>C1qa</italic> and <italic>C3</italic> (<xref ref-type="fig" rid="fig2">Figure 2A</xref>) in CTX and CB. In CBs of young animals, homeostatic expression of <italic>C1qa</italic> was found to be lower when compared to CTX. Despite displaying a marked increase in both regions upon aging, mRNA levels of <italic>C1qa</italic> remained significantly greater in CTX compared to CB. In contrast, the opposite was observed in the gene expression of <italic>C3</italic>, which was found highly upregulated in middle-aged CB but not CTX. Immunohistochemistry further supported these results, revealing a high prevalence of complement factor C3 both in middle-aged CTX and CB, as a basic prerequisite for synaptic pruning (<xref ref-type="fig" rid="fig2">Figures 2B</xref>,<xref ref-type="fig" rid="fig2">C</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary material I</xref>). When closely examining the presence of C3-tagged glutamatergic synapses in both brain regions, we registered a significant decrease in VGLUT1<sup>+</sup>C3<sup>+</sup> co-stained puncta only in the middle-aged CB (<xref ref-type="fig" rid="fig2">Figure 2D</xref>). This observation was paralleled by a reduction of VGLUT1<sup>+</sup>HOMER1<sup>+</sup> synapses in CTX subregions upon aging whereas no difference was evident in the CB (<xref ref-type="fig" rid="fig2">Figures 2E</xref>,<xref ref-type="fig" rid="fig2">F</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary material J</xref>). As this finding pointed towards a reduced rate of synaptic pruning in the CB, we were prompted to further evaluate the composition of complement-tagged excitatory synaptic terminals by performing flow synaptometry (<xref ref-type="bibr" rid="ref17">D&#x00FC;sedau et al., 2021</xref>). To this end, we isolated crude synaptosomes from CTX and CB of young and middle-aged mice and immunolabeled complement factor C3b in addition to pre- (synaptophysin &#x2013; Syp, synaptobrevin 2 &#x2013; SB2) and post-synaptic (GluR1) components, respectively (<xref ref-type="fig" rid="fig3">Figures 3A</xref>&#x2013;<xref ref-type="fig" rid="fig3">E</xref>). When we evaluated the overall frequency of Syp<sup>+</sup>SB2<sup>+</sup>GluR1<sup>+</sup>, our measurements could not confirm the previous results from IF as no significant differences among all experimental groups were detectable (<xref ref-type="fig" rid="fig3">Figure 3D</xref>), suggesting no prominent reduction of synapses in the excitatory circuitry to this point of aging. However, flow synaptometry revealed a substantially increased abundance of C3b<sup>+</sup>-tagged glutamatergic synaptosomes only in the CB of young mice with a trend to decline in middle-aged CB which was similar to our observation upon immunohistochemistry (<xref ref-type="fig" rid="fig3">Figure 3E</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Increased expression of complement factors in middle-aged brains. <bold>(A)</bold> Gene expression of complement factors C1q (<italic>C1qa</italic>) and C3 (<italic>C3</italic>) was assessed by RT-qPCR in CTX and CB of young (white bars) and middle-aged (grey bars) mice. Expression level of target genes was normalized to the expression level of <italic>Hprt</italic> and subsequently, relative expression was normalized to the mean expression level in CTX of young animals to obtain the fold change. <bold>(B)</bold> Panels depict VGLUT1<sup>+</sup> and C3<sup>+</sup> puncta detected using the FIJI Synapse Counter plugin in CTX (left column) and CB (right column) after immunostaining with antibodies against VGLUT1 and C3 in young (upper panels) or middle-aged (lower panels) mice. <bold>(C)</bold> Bars represent quantified data for staining intensity of complement factor C3 in the different subregions of CTX and CB. <bold>(D)</bold> Bars illustrate the percentual overlap of C3<sup>+</sup> and VGLUT1<sup>+</sup> from data shown in <bold>(B)</bold> for the different subregions of CTX and CB. <bold>(E)</bold> Panels depict VGLUT1<sup>+</sup> and HOMER1<sup>+</sup> puncta detected using the FIJI Synapse Counter plugin in CTX (left column) and CB (right column) after immunostaining with antibodies against VGLUT1 and HOMER1 in young (upper panels) or middle-aged (lower panels) mice. <bold>(F)</bold> Bar charts illustrate quantified data of VGLUT1<sup>+</sup>HOMER1<sup>+</sup> puncta from <bold>(E)</bold> for the different subregions of CTX and CB. Data are shown as mean &#x00B1; SEM and were compared by two-way ANOVA with Tukey&#x2019;s <italic>post-hoc</italic> correction. Significant differences are indicated by &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, &#x002A;&#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001.</p></caption>
<graphic xlink:href="fnagi-17-1616390-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Elevated expression of ECM proteins in middle-aged CB. <bold>(A)</bold> Graphical illustration of synaptosome isolation from CTX and CB and subsequent analysis via flow synaptometry. <bold>(B,C)</bold> Representative gating strategy applied to synaptosomes from CTX to identify glutamatergic synaptosomes: Events were first gated on size (300&#x2013;1,000&#x202F;nm) and signal for FM4-64X (not shown), then for co-expression of presynaptic synaptophysin (Syp) and synaptobrevin 2 (SB2), and post-synaptic GluR1 (excitatory glutamatergic AMPA receptor). Finally, the population of Syp<sup>+</sup>SB2<sup>+</sup>GluR1<sup>+</sup> synaptosomes was further gated on signal for complement factor C3b. <bold>(D)</bold> Whisker plots display the frequency of Syp<sup>+</sup>SB2<sup>+</sup>GluR1<sup>+</sup> synaptosomes in CTX and CB of young (white bars) and middle-aged (grey bars) mice. <bold>(E)</bold> Whisker plots display the frequency of Syp<sup>+</sup>SB2<sup>+</sup>GluR1<sup>+</sup>C3b<sup>+</sup> synaptosomes as percentage of the parent population (Syp<sup>+</sup>SB2<sup>+</sup>GluR1<sup>+</sup>, shown in <bold>G</bold>) in CTX and CB of young (white bars) and middle-aged (grey bars) mice. <bold>(F,G)</bold> Immunofluorescence imaging of CTX (left column) and CB (right column) stained against aggrecan and brevican in young (upper panels) or middle-aged (lower panels) mice. <bold>(H,I)</bold> Bar charts illustrate quantified staining intensity for aggrecan and brevican in the different subregions of CTX and CB. Data are shown as mean &#x00B1; SEM and were compared by two-way ANOVA with Tukey&#x2019;s <italic>post-hoc</italic> correction. Significant differences are indicated by &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, &#x002A;&#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001.</p></caption>
<graphic xlink:href="fnagi-17-1616390-g003.tif"/>
</fig>
<p>In previous reports, we have shown the reciprocal interactions of glial cells and the ECM in the brain (<xref ref-type="bibr" rid="ref67">Stoyanov et al., 2021</xref>; <xref ref-type="bibr" rid="ref9">Cangalaya et al., 2024</xref>; <xref ref-type="bibr" rid="ref68">Strackeljan et al., 2021</xref>). Hence, we wondered whether aging could affect the composition of the ECM in brain and modulate the microglia-mediated engulfment of synapses. Therefore, we immunostained brain sections against aggrecan and brevican, representing integral components of the brain ECM and being involved in the formation of peri-neuronal nets and the perisynaptic matrix (<xref ref-type="bibr" rid="ref26">Frischknecht and Seidenbecher, 2012</xref>) (<xref ref-type="fig" rid="fig3">Figures 3F</xref>,<xref ref-type="fig" rid="fig3">G</xref>). When comparing the CTX subregions of young and middle-aged mice, we did not register any changes in the staining intensity of aggrecan and brevican (<xref ref-type="fig" rid="fig3">Figures 3H</xref>,<xref ref-type="fig" rid="fig3">I</xref>). In contrast, we noticed a considerable increase of both proteoglycans in the DCN and CC subregions of the CB upon aging. In summary, our experimental data demonstrated an aging-dependent increase of complement protein expression but did not detect a reduction of synapses, probably due to the simultaneous upregulation of ECM protein levels in the CB, mitigating synapse engulfment.</p>
</sec>
<sec sec-type="discussion" id="sec13">
<label>4</label>
<title>Discussion</title>
<p>Aging of the CNS is considered a driving factor of cellular senescence and is often accompanied by a decline of cognitive functions or the onset of neurodegenerative processes (<xref ref-type="bibr" rid="ref48">Melo Dos Santos et al., 2024</xref>). On a cellular level, aging coincides with an increased release of pro-inflammatory signals that progressively render brain-resident microglia towards a higher activity state, possibly resulting in the re-activation of phagocytic pathways that lead to disruptive effects on synaptic neurotransmission. Brain regions have been reported to age at different velocities, with the murine CB to show signs of functional decline and loss of neurons at the age of 12&#x202F;months and therefore earlier than other brain regions (<xref ref-type="bibr" rid="ref47">McElroy et al., 2024</xref>; <xref ref-type="bibr" rid="ref49">Morter&#x00E1; and Herculano-Houzel, 2012</xref>; <xref ref-type="bibr" rid="ref76">Woodruff-Pak et al., 2010</xref>). However, only little is known about the mechanisms underlying these observed differences. In this study, we contribute to expanding existing knowledge by comparing the effects of aging between the cortex and the cerebellum. We detected region-specific differences in the cytokine milieu, complement factor expression and microglia activation state. Furthermore, we highlighted a striking reduction in complement factor C3-tagged glutamatergic synapses in the middle-aged CB, which was associated with the increased expression of ECM proteins potentially shielding synapses from microglia-mediated pruning during the process of aging.</p>
<p>It is understood that aging results in a progressively increasing low-grade inflammation of the brain (<xref ref-type="bibr" rid="ref23">Franceschi et al., 2018</xref>; <xref ref-type="bibr" rid="ref22">Finger et al., 2022</xref>). This is in line with our observation of increased IL-1&#x03B2; (CB) and TNF (CTX) gene expression levels in naturally aged animals. However, only in the CB this was paralleled by a reduction of TGF-&#x03B2; mRNA, suggesting impaired suppression of age-dependent inflammation in this brain region (<xref ref-type="bibr" rid="ref46">Massagu&#x00E9; and Sheppard, 2023</xref>). Given that the cytokines examined are attributed to the innate immune system (<xref ref-type="bibr" rid="ref40">Lacy and Stow, 2011</xref>), we presumed that differences in their expression levels may be linked to changes in the activation state of microglia representing the primary population of brain immunocytes during homeostasis. Indeed, our results indicated a striking upregulation of phagocytosis-associated surface markers F4/80 and MHC I predominantly in the middle-aged CB. This finding further corroborated our initial findings and other studies demonstrating a greater shift in the phenotype and immune-amplifying genes of cerebellar microglia during aging (<xref ref-type="bibr" rid="ref32">Hart et al., 2012</xref>; <xref ref-type="bibr" rid="ref31">Grabert et al., 2016</xref>). In this context, scientific evidence proposes a causal link between the age-dependent priming of these cells and a decreased lysosomal proteolytic activity caused by lipofuscin depositions that occur with aging. This phenomenon results in increased oxidative stress and the induction of the p38 mitogen-activated protein kinase cascade (<xref ref-type="bibr" rid="ref51">Nakanishi and Wu, 2009</xref>; <xref ref-type="bibr" rid="ref77">Xu et al., 2008</xref>). Accordingly, we observed that microglia in middle-aged CB showed a prominent upregulation of the marker CD68, representing increased lysosome formations. Conversely, expression of surface markers CD45 and TREM2 was significantly reduced in both brain regions upon aging, whereas expression of the homeostatic marker CX3CR1 did not reveal any change. We, therefore, believe that, despite the overall increased activation, microglia in the CB do yet not correspond to their pathological counterpart of disease-associated microglia as seen in neurodegenerative conditions at this stage of aging (<xref ref-type="bibr" rid="ref39">Keren-Shaul et al., 2017</xref>; <xref ref-type="bibr" rid="ref50">Mrdjen et al., 2018</xref>; <xref ref-type="bibr" rid="ref14">Deczkowska et al., 2018</xref>).</p>
<p>However, aging remains recognized as a major risk factor for the development of neurodegenerative diseases (<xref ref-type="bibr" rid="ref1">Adamczyk-Sowa et al., 2022</xref>; <xref ref-type="bibr" rid="ref12">Costantini et al., 2018</xref>; <xref ref-type="bibr" rid="ref38">Jurcau et al., 2024</xref>; <xref ref-type="bibr" rid="ref2">Ajoolabady et al., 2024</xref>) and large body of evidence emphasizes that the CB is not spared from pathologies like Alzheimer&#x2019;s disease, Parkinson&#x2019;s disease, and multiple sclerosis (<xref ref-type="bibr" rid="ref42">Li et al., 2023</xref>; <xref ref-type="bibr" rid="ref59">Samson and Claassen, 2017</xref>; <xref ref-type="bibr" rid="ref36">Iskusnykh et al., 2024</xref>; <xref ref-type="bibr" rid="ref47">McElroy et al., 2024</xref>). With reference to a previous report demonstrating the disproportional loss of synapses in 18- and 24-month-old mice and impairments of long-term depression developing between 4 and 8 month in the aging mouse CB (<xref ref-type="bibr" rid="ref76">Woodruff-Pak et al., 2010</xref>), and our results suggesting a higher phagocytic capability of microglial cells in this brain region, we were prompted to further analyze the expression of complement factors <italic>C1qa</italic> and <italic>C3</italic> as a prerequisite for microglia-dependent synaptic pruning (<xref ref-type="bibr" rid="ref61">Schafer et al., 2012</xref>; <xref ref-type="bibr" rid="ref74">Vasek et al., 2016</xref>). Here, we detected significant increases of both, <italic>C1qa</italic> and <italic>C3</italic> levels, only in the CB upon aging, and a higher immunostaining of CB sections against C3 in aged mice. These observations are concordant with previous reports that have highlighted an aging-evoked upregulation of complement factor expression and their localization in close proximity to synapses (<xref ref-type="bibr" rid="ref7">Bonasera et al., 2016</xref>; <xref ref-type="bibr" rid="ref65">Stephan et al., 2013</xref>). It is now well established that components of the complement cascade play an important role in the microglia-dependent process of synaptic pruning during brain development via activation of the complement receptor 3 (<xref ref-type="bibr" rid="ref66">Stevens et al., 2007</xref>; <xref ref-type="bibr" rid="ref61">Schafer et al., 2012</xref>). In addition, complement signaling has been shown to mediate synapse and neuron elimination upon aging and disease (<xref ref-type="bibr" rid="ref64">Stephan et al., 2012</xref>; <xref ref-type="bibr" rid="ref57">Reichwald et al., 2009</xref>; <xref ref-type="bibr" rid="ref62">Shi et al., 2015</xref>) but in the context of the aging CB, the active contribution of microglia to the elimination of synapses remains a subject for further investigation. This is attributable to the fact that the scope of our experiments did not extend to a detailed examination of <italic>in situ</italic> engulfment of synaptic terminals by these cells. Nonetheless, interactions of complement components with synaptic terminals or neurons are multifaceted and not necessarily reliant on direct involvement microglia. This notion is further supported by a recent study that highlighted the protective function of microglial soluble TREM2 (sTREM2) in suppressing the C1q-induced protease cascade that leads to deposition of C3 (<xref ref-type="bibr" rid="ref80">Zhong et al., 2023</xref>). Here, the ectodomain of TREM2 is typically cleaved by the proteases ADAM10 and ADAM17, which results in the release of sTREM2 into the extracellular space. Intriguingly, we observed a reduced surface expression of TREM2 by microglia in both regions upon aging with an allover lower level in the CB when compared to the CTX. The obtained results could be suggestive of an augmented cleavage and shedding of TREM2 in the CB of aged rodents, particularly in consideration of the observation that <italic>Trem2</italic> gene expression in the CB and CTX of aged mice was found to be equivalent. Unfortunately, a limitation of our initial study design is the omission of the measurement of sTREM2 levels in brain tissue and we can only speculate whether induction of the classical complement cascade at the stage of C1q is suppressed or not.</p>
<p>Irrespective of this, high levels of C3 can facilitate its spontaneous hydrolysis into small C3a and large C3b fragments, which then either propel the complement signaling cascade or directly interact with their corresponding downstream complement receptors expressed on various cells of the CNS (<xref ref-type="bibr" rid="ref19">Fatoba et al., 2022</xref>). In this context, a recent report has shown that astrocytes substantially increase NF-&#x03BA;B activity and concomitantly release C3 upon stimulation with pro-inflammatory cytokines, a scenario that is analogous to the inflammatory microenvironment we described in the aged CB. Secreted C3 then undergoes cleavage and the resulting C3a has been shown to impede the dendritic spine density through the action of the C3a receptor expressed on neurons (<xref ref-type="bibr" rid="ref44">Lian et al., 2015</xref>). The importance of C3-mediated signaling cascades becomes even more pronounced in the context of neuroinflammation and &#x2013;degeneration. Experiments in mouse models have shown that binding of C3a to its receptor induces STAT3 phosphorylation in microglia, thereby mediating memory dysfunction and elimination of excitatory synaptic terminals (<xref ref-type="bibr" rid="ref43">Li et al., 2024</xref>; <xref ref-type="bibr" rid="ref45">Litvinchuk et al., 2018</xref>). Notably, the expression of C3 and C3aR1 positively correlates with cognitive decline and further increases with progression of disease in the hippocampus of PS19 mice (<xref ref-type="bibr" rid="ref45">Litvinchuk et al., 2018</xref>). In addition to its direct contribution to the tagging of synapses for phagocytosis or receptor activation, C3 also plays a pivotal role in the induction of a downstream signaling cascade that ultimately results in the formation of a membrane attack complex, which in turn leads to the creation of pores in cellular membranes. Interestingly, activation of these terminal complement pathways has been shown to directly modulate synapses under neurodegenerative conditions (<xref ref-type="bibr" rid="ref10">Carpanini et al., 2022</xref>). Despite the limited amount of available information regarding complement factor and complement receptor expression in the aging CB, emerging evidence suggests that inhibition of C3ar1 signaling or STAT3 phosphorylation may offer therapeutic interventions to mitigate neuronal loss in the context of CB aging.</p>
<p>In consideration of the robust correlation between complement system elements and synapse loss, a comparative analysis was conducted on the quantity of complement-tagged synaptic terminals in aged mice. This analysis revealed a profound decline in C3<sup>+</sup>VGLUT1<sup>+</sup> puncta within specific subregions of the CB. As an orthogonal approach to validate the observed changes, we performed flow synaptometry with synaptosomes isolated from CTX and CB (<xref ref-type="bibr" rid="ref17">D&#x00FC;sedau et al., 2021</xref>). We harnessed the method&#x2019;s ability to discern synaptic structures with intact pre- and post-synaptic terminals and found that C3b-tagged synaptosomes from the CB followed the same trend to decline as seen in immunofluorescence microscopy. Yet, no apparent change in the total population of glutamatergic synapses was detected in the aging CB, implicating that, despite the given prerequisites, synapses did not undergo microglia-mediated engulfment. To our knowledge, the mechanisms that could interfere with the attachment of complement factors to synapses are still poorly understood. With respect to the concept of synapses being embedded into a dense matrix of proteins and based on the results of our present and previous work, we speculated that the reduction in complement-tagged synaptosomes may be related to the ECM ameliorating the deposition of C3b.</p>
<p>In the past years, our reports have contributed to the understanding of the reciprocal interaction of glial cells and the ECM in the brain. We have shown the modulatory effects of ECM governing the microglial response to tissue damage (<xref ref-type="bibr" rid="ref67">Stoyanov et al., 2021</xref>) and microglial-mediated synaptic remodeling (<xref ref-type="bibr" rid="ref9">Cangalaya et al., 2024</xref>), and the capability of microglia cells to regulate the expression of ECM proteoglycans, thereby affecting the homeostasis of pre- and postsynaptic excitatory terminals (<xref ref-type="bibr" rid="ref68">Strackeljan et al., 2021</xref>; <xref ref-type="bibr" rid="ref69">Strackeljan et al., 2025</xref>). Still, the complete functionality of the ECM still remains unclear and ambiguous, especially in the context of aging. We therefore studied the levels of the proteoglycans brevican and aggrecan in the brains of aged mice and discovered a dramatically increased quantity of both in the CB. This is in line with the current understanding that aging of the brain is associated with cognitive impairment caused by a gradual decline in its plasticity due to an activity-dependent accumulation of ECM components (<xref ref-type="bibr" rid="ref20">Fawcett et al., 2022</xref>; <xref ref-type="bibr" rid="ref15">Dityatev et al., 2007</xref>). Brevican, which is primarily expressed in the perisynaptic zone, and other extracellular proteoglycans have been hypothesized to play a regulatory role in the propagation of the complement cascade (<xref ref-type="bibr" rid="ref26">Frischknecht and Seidenbecher, 2012</xref>; <xref ref-type="bibr" rid="ref29">Gialeli et al., 2018</xref>). In particular, brevican and aggrecan contain a C-terminal Sushi-like domain (or complement control protein module) which has been shown to moderate the complement pathway activation by targeting C3-cleaving enzymes (<xref ref-type="bibr" rid="ref27">Gary et al., 2000</xref>; <xref ref-type="bibr" rid="ref73">Tucker and Adams, 2024</xref>; <xref ref-type="bibr" rid="ref54">Ojha et al., 2019</xref>; <xref ref-type="bibr" rid="ref29">Gialeli et al., 2018</xref>). The reduced frequency of GluR1<sup>+</sup>C3b<sup>+</sup> synaptosomes in the aged CB corroborates this hypothesis. Another feature of the ECM is represented by its capacity to regulate the diffusion properties of soluble factors (<xref ref-type="bibr" rid="ref16">Dityatev et al., 2010</xref>; <xref ref-type="bibr" rid="ref25">Frischknecht and Gundelfinger, 2012</xref>), and to bind chemokines and growth factors (<xref ref-type="bibr" rid="ref71">Sutherland et al., 2023</xref>). This further raises the possibility that a denser network of proteoglycans in the aged CB may hinder the free diffusion of complement factors in the perisynaptic milieu (<xref ref-type="bibr" rid="ref72">T&#x00F8;nnesen et al., 2023</xref>).</p>
<p>Yet, it should be noted that our flow synaptometry results exclusively address excitatory synapses, while a substantial population of inhibitory neurons, i.e., Purkinje cells, form the core of all cerebellar circuits. Accordingly, the protective effects of the ECM may not be equally applicable to all types of synapses and may not fully protect from the inevitable occurrence of synapse loss in the CB in later stages of aging. This poses the question of what alterations might occur over time in order to account for the shift from resilience to vulnerability. A potential correlation may be identified in the characteristics and activation pattern of microglia that are distinct in the CB as indicated by lower surface expression of CX3CR1. As previously demonstrated, the CX3CL1-CX3CR1 pathway is a pivotal mechanism that serves to downregulate the proinflammatory and neurotoxic capacity of microglia. In this regard, the CB has been shown to exhibit a lower neuronal expression of CX3CL1 (<xref ref-type="bibr" rid="ref70">Sunnemark et al., 2005</xref>) while displaying a greater immune-alertness of microglia during aging (<xref ref-type="bibr" rid="ref31">Grabert et al., 2016</xref>) and higher levels of cytokines under pathological conditions (<xref ref-type="bibr" rid="ref28">Gaunt et al., 2023</xref>). However, further studies are needed to confirm whether this may result in a higher expression of ECM-degrading enzymes (<xref ref-type="bibr" rid="ref4">Al-Roub et al., 2023</xref>; <xref ref-type="bibr" rid="ref58">Rosenberg, 2002</xref>; <xref ref-type="bibr" rid="ref78">Yong et al., 2001</xref>) and reduced protection of synapses by proteoglycans with the progression of CB aging.</p>
<p>In conclusion, our work highlights the regional, age-dependent differences in microglial and ECM properties in the CTX and CB. By linking our observations to the current state of knowledge, we propose a brain-specific mechanism that may be able to protect synapses from microglial engulfment. Therefore, future studies should focus on the underlying regulatory mechanisms that allow the ECM to modulate synaptic pruning in the brain, in order to develop novel therapeutic approaches to limit neurodegeneration.</p>
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<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec21">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>The animal study was approved by Landesverwaltungsamt Saxony-Anhalt. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>HD: Investigation, Writing &#x2013; original draft, Project administration, Formal analysis, Methodology. CC: Methodology, Investigation, Writing &#x2013; review &#x0026; editing. SS: Formal analysis, Writing &#x2013; review &#x0026; editing, Methodology. AD: Validation, Conceptualization, Writing &#x2013; review &#x0026; editing, Funding acquisition, Supervision, Project administration, Resources. ID: Writing &#x2013; original draft, Resources, Project administration, Validation, Conceptualization, Writing &#x2013; review &#x0026; editing, Supervision, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="sec17">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by the DZNE Stiftung (T0531/43703/2023/hhe) to CC.</p>
</sec>
<ack>
<p>The authors want to thank Petra Gr&#x00FC;neberg, Anna-Lena Motsch, and Dr. Sarah Abidat Schneider for their excellent technical assistance, and Drs. Constanze Seidenbecher and Renato Frischknecht from Leibniz Institute for Neurobiology for a gift of brevican antibodies. We also thank Akilashree Senthilnathan and Dr. Janelle Pakan for their experimental support.</p>
</ack>
<sec sec-type="COI-statement" id="sec18">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
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<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
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<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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<sec sec-type="supplementary-material" id="sec21">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnagi.2025.1616390/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnagi.2025.1616390/full#supplementary-material</ext-link></p>
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<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Adamczyk-Sowa</surname> <given-names>M.</given-names></name> <name><surname>Nowak-Kiczmer</surname> <given-names>M.</given-names></name> <name><surname>Jaroszewicz</surname> <given-names>J.</given-names></name> <name><surname>Berger</surname> <given-names>T.</given-names></name></person-group> (<year>2022</year>). <article-title>Immunosenescence and multiple sclerosis</article-title>. <source>Neurol. Neurochir. Pol.</source> <volume>56</volume>, <fpage>220</fpage>&#x2013;<lpage>227</lpage>. doi: <pub-id pub-id-type="doi">10.5603/PJNNS.a2022.0045</pub-id>, PMID: <pub-id pub-id-type="pmid">35735245</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ajoolabady</surname> <given-names>A.</given-names></name> <name><surname>Pratico</surname> <given-names>D.</given-names></name> <name><surname>Tang</surname> <given-names>D.</given-names></name> <name><surname>Zhou</surname> <given-names>S.</given-names></name> <name><surname>Franceschi</surname> <given-names>C.</given-names></name> <name><surname>Ren</surname> <given-names>J.</given-names></name></person-group> (<year>2024</year>). <article-title>Immunosenescence and inflammaging: mechanisms and role in diseases</article-title>. <source>Ageing Res. Rev.</source> <volume>101</volume>:<fpage>102540</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.arr.2024.102540</pub-id>, PMID: <pub-id pub-id-type="pmid">39395575</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aljondi</surname> <given-names>R.</given-names></name> <name><surname>Szoeke</surname> <given-names>C.</given-names></name> <name><surname>Steward</surname> <given-names>C.</given-names></name> <name><surname>Yates</surname> <given-names>P.</given-names></name> <name><surname>Desmond</surname> <given-names>P.</given-names></name></person-group> (<year>2019</year>). <article-title>A decade of changes in brain volume and cognition</article-title>. <source>Brain Imaging Behav.</source> <volume>13</volume>, <fpage>554</fpage>&#x2013;<lpage>563</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11682-018-9887-z</pub-id>, PMID: <pub-id pub-id-type="pmid">29744801</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Roub</surname> <given-names>A.</given-names></name> <name><surname>Akhter</surname> <given-names>N.</given-names></name> <name><surname>Al-Rashed</surname> <given-names>F.</given-names></name> <name><surname>Wilson</surname> <given-names>A.</given-names></name> <name><surname>Alzaid</surname> <given-names>F.</given-names></name> <name><surname>Al-Mulla</surname> <given-names>F.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>TNF&#x03B1; induces matrix metalloproteinase-9 expression in monocytic cells through ACSL1/JNK/ERK/NF-kB signaling pathways</article-title>. <source>Sci. Rep.</source> <volume>13</volume>:<fpage>14351</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-023-41514-6</pub-id>, PMID: <pub-id pub-id-type="pmid">37658104</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Balig&#x00E1;cs</surname> <given-names>N.</given-names></name> <name><surname>Albertini</surname> <given-names>G.</given-names></name> <name><surname>Borrie</surname> <given-names>S. C.</given-names></name> <name><surname>Serneels</surname> <given-names>L.</given-names></name> <name><surname>Pridans</surname> <given-names>C.</given-names></name> <name><surname>Balusu</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Homeostatic microglia initially seed and activated microglia later reshape amyloid plaques in Alzheimer&#x2019;s disease</article-title>. <source>Nat. Commun.</source> <volume>15</volume>:<fpage>10634</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-024-54779-w</pub-id>, PMID: <pub-id pub-id-type="pmid">39639016</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bettio</surname> <given-names>L. E. B.</given-names></name> <name><surname>Rajendran</surname> <given-names>L.</given-names></name> <name><surname>Gil-Mohapel</surname> <given-names>J.</given-names></name></person-group> (<year>2017</year>). <article-title>The effects of aging in the hippocampus and cognitive decline</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>79</volume>, <fpage>66</fpage>&#x2013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2017.04.030</pub-id>, PMID: <pub-id pub-id-type="pmid">28476525</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bonasera</surname> <given-names>S. J.</given-names></name> <name><surname>Arikkath</surname> <given-names>J.</given-names></name> <name><surname>Boska</surname> <given-names>M. D.</given-names></name> <name><surname>Chaudoin</surname> <given-names>T. R.</given-names></name> <name><surname>DeKorver</surname> <given-names>N. W.</given-names></name> <name><surname>Goulding</surname> <given-names>E. H.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Age-related changes in cerebellar and hypothalamic function accompany non-microglial immune gene expression, altered synapse organization, and excitatory amino acid neurotransmission deficits</article-title>. <source>Aging</source> <volume>8</volume>, <fpage>2153</fpage>&#x2013;<lpage>2181</lpage>. doi: <pub-id pub-id-type="doi">10.18632/aging.101040</pub-id>, PMID: <pub-id pub-id-type="pmid">27689748</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Butovsky</surname> <given-names>O.</given-names></name> <name><surname>Weiner</surname> <given-names>H. L.</given-names></name></person-group> (<year>2018</year>). <article-title>Microglial signatures and their role in health and disease</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>19</volume>, <fpage>622</fpage>&#x2013;<lpage>635</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41583-018-0057-5</pub-id>, PMID: <pub-id pub-id-type="pmid">30206328</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cangalaya</surname> <given-names>C.</given-names></name> <name><surname>Sun</surname> <given-names>W.</given-names></name> <name><surname>Stoyanov</surname> <given-names>S.</given-names></name> <name><surname>Dunay</surname> <given-names>I. R.</given-names></name> <name><surname>Dityatev</surname> <given-names>A.</given-names></name></person-group> (<year>2024</year>). <article-title>Integrity of neural extracellular matrix is required for microglia-mediated synaptic remodeling</article-title>. <source>Glia</source> <volume>72</volume>, <fpage>1874</fpage>&#x2013;<lpage>1892</lpage>. doi: <pub-id pub-id-type="doi">10.1002/glia.24588</pub-id>, PMID: <pub-id pub-id-type="pmid">38946065</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carpanini</surname> <given-names>S. M.</given-names></name> <name><surname>Torvell</surname> <given-names>M.</given-names></name> <name><surname>Bevan</surname> <given-names>R. J.</given-names></name> <name><surname>Byrne</surname> <given-names>R. A. J.</given-names></name> <name><surname>Daskoulidou</surname> <given-names>N.</given-names></name> <name><surname>Saito</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Terminal complement pathway activation drives synaptic loss in Alzheimer&#x2019;s disease models</article-title>. <source>Acta Neuropathol. Commun.</source> <volume>10</volume>:<fpage>99</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40478-022-01404-w</pub-id>, PMID: <pub-id pub-id-type="pmid">35794654</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Colonna</surname> <given-names>M.</given-names></name> <name><surname>Butovsky</surname> <given-names>O.</given-names></name></person-group> (<year>2017</year>). <article-title>Microglia function in the central nervous system during health and neurodegeneration</article-title>. <source>Annu. Rev. Immunol.</source> <volume>35</volume>, <fpage>441</fpage>&#x2013;<lpage>468</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-immunol-051116-052358</pub-id>, PMID: <pub-id pub-id-type="pmid">28226226</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Costantini</surname> <given-names>E.</given-names></name> <name><surname>D&#x2019;Angelo</surname> <given-names>C.</given-names></name> <name><surname>Reale</surname> <given-names>M.</given-names></name></person-group> (<year>2018</year>). <article-title>The role of immunosenescence in neurodegenerative diseases</article-title>. <source>Mediat. Inflamm.</source> <volume>2018</volume>:<fpage>6039171</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2018/6039171</pub-id>, PMID: <pub-id pub-id-type="pmid">29706800</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Damani</surname> <given-names>M. R.</given-names></name> <name><surname>Zhao</surname> <given-names>L.</given-names></name> <name><surname>Fontainhas</surname> <given-names>A. M.</given-names></name> <name><surname>Amaral</surname> <given-names>J.</given-names></name> <name><surname>Fariss</surname> <given-names>R. N.</given-names></name> <name><surname>Wong</surname> <given-names>W. T.</given-names></name></person-group> (<year>2011</year>). <article-title>Age-related alterations in the dynamic behavior of microglia</article-title>. <source>Aging Cell</source> <volume>10</volume>, <fpage>263</fpage>&#x2013;<lpage>276</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1474-9726.2010.00660.x</pub-id>, PMID: <pub-id pub-id-type="pmid">21108733</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Deczkowska</surname> <given-names>A.</given-names></name> <name><surname>Keren-Shaul</surname> <given-names>H.</given-names></name> <name><surname>Weiner</surname> <given-names>A.</given-names></name> <name><surname>Colonna</surname> <given-names>M.</given-names></name> <name><surname>Schwartz</surname> <given-names>M.</given-names></name> <name><surname>Amit</surname> <given-names>I.</given-names></name></person-group> (<year>2018</year>). <article-title>Disease-associated microglia. A universal immune sensor of neurodegeneration</article-title>. <source>Cell</source> <volume>173</volume>, <fpage>1073</fpage>&#x2013;<lpage>1081</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2018.05.003</pub-id>, PMID: <pub-id pub-id-type="pmid">29775591</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dityatev</surname> <given-names>A.</given-names></name> <name><surname>Br&#x00FC;ckner</surname> <given-names>G.</given-names></name> <name><surname>Dityateva</surname> <given-names>G.</given-names></name> <name><surname>Grosche</surname> <given-names>J.</given-names></name> <name><surname>Kleene</surname> <given-names>R.</given-names></name> <name><surname>Schachner</surname> <given-names>M.</given-names></name></person-group> (<year>2007</year>). <article-title>Activity-dependent formation and functions of chondroitin sulfate-rich extracellular matrix of perineuronal nets</article-title>. <source>Dev. Neurobiol.</source> <volume>67</volume>, <fpage>570</fpage>&#x2013;<lpage>588</lpage>. doi: <pub-id pub-id-type="doi">10.1002/dneu.20361</pub-id>, PMID: <pub-id pub-id-type="pmid">17443809</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dityatev</surname> <given-names>A.</given-names></name> <name><surname>Seidenbecher</surname> <given-names>C. I.</given-names></name> <name><surname>Schachner</surname> <given-names>M.</given-names></name></person-group> (<year>2010</year>). <article-title>Compartmentalization from the outside: the extracellular matrix and functional microdomains in the brain</article-title>. <source>Trends Neurosci.</source> <volume>33</volume>, <fpage>503</fpage>&#x2013;<lpage>512</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tins.2010.08.003</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>D&#x00FC;sedau</surname> <given-names>H. P.</given-names></name> <name><surname>Steffen</surname> <given-names>J.</given-names></name> <name><surname>Figueiredo</surname> <given-names>C. A.</given-names></name> <name><surname>Boehme</surname> <given-names>J. D.</given-names></name> <name><surname>Schultz</surname> <given-names>K.</given-names></name> <name><surname>Erck</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Influenza a virus (H1N1) infection induces microglial activation and temporal dysbalance in glutamatergic synaptic transmission</article-title>. <source>MBio</source> <volume>12</volume>:<fpage>e0177621</fpage>. doi: <pub-id pub-id-type="doi">10.1128/mBio.01776-21</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dzyubenko</surname> <given-names>E.</given-names></name> <name><surname>Rozenberg</surname> <given-names>A.</given-names></name> <name><surname>Hermann</surname> <given-names>D. M.</given-names></name> <name><surname>Faissner</surname> <given-names>A.</given-names></name></person-group> (<year>2016</year>). <article-title>Colocalization of synapse marker proteins evaluated by STED-microscopy reveals patterns of neuronal synapse distribution <italic>in vitro</italic></article-title>. <source>J. Neurosci. Methods</source> <volume>273</volume>, <fpage>149</fpage>&#x2013;<lpage>159</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jneumeth.2016.09.001</pub-id>, PMID: <pub-id pub-id-type="pmid">27615741</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fatoba</surname> <given-names>O.</given-names></name> <name><surname>Itokazu</surname> <given-names>T.</given-names></name> <name><surname>Yamashita</surname> <given-names>T.</given-names></name></person-group> (<year>2022</year>). <article-title>Complement cascade functions during brain development and neurodegeneration</article-title>. <source>FEBS J.</source> <volume>289</volume>, <fpage>2085</fpage>&#x2013;<lpage>2109</lpage>. doi: <pub-id pub-id-type="doi">10.1111/febs.15772</pub-id>, PMID: <pub-id pub-id-type="pmid">33599083</pub-id></citation></ref>
<ref id="ref20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fawcett</surname> <given-names>J. W.</given-names></name> <name><surname>Fyhn</surname> <given-names>M.</given-names></name> <name><surname>Jendelova</surname> <given-names>P.</given-names></name> <name><surname>Kwok</surname> <given-names>J. C. F.</given-names></name> <name><surname>Ruzicka</surname> <given-names>J.</given-names></name> <name><surname>Sorg</surname> <given-names>B. A.</given-names></name></person-group> (<year>2022</year>). <article-title>The extracellular matrix and perineuronal nets in memory</article-title>. <source>Mol. Psychiatry</source> <volume>27</volume>, <fpage>3192</fpage>&#x2013;<lpage>3203</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41380-022-01634-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35760878</pub-id></citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Figueiredo</surname> <given-names>C. A.</given-names></name> <name><surname>D&#x00FC;sedau</surname> <given-names>H. P.</given-names></name> <name><surname>Steffen</surname> <given-names>J.</given-names></name> <name><surname>Ehrentraut</surname> <given-names>S.</given-names></name> <name><surname>Dunay</surname> <given-names>M. P.</given-names></name> <name><surname>Toth</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>The neuropeptide PACAP alleviates <italic>T. Gondii</italic> infection-induced neuroinflammation and neuronal impairment</article-title>. <source>J. Neuroinflammation</source> <volume>19</volume>:<fpage>274</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-022-02639-z</pub-id>, PMID: <pub-id pub-id-type="pmid">36403002</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Finger</surname> <given-names>C. E.</given-names></name> <name><surname>Moreno-Gonzalez</surname> <given-names>I.</given-names></name> <name><surname>Gutierrez</surname> <given-names>A.</given-names></name> <name><surname>Moruno-Manchon</surname> <given-names>J. F.</given-names></name> <name><surname>McCullough</surname> <given-names>L. D.</given-names></name></person-group> (<year>2022</year>). <article-title>Age-related immune alterations and cerebrovascular inflammation</article-title>. <source>Mol. Psychiatry</source> <volume>27</volume>, <fpage>803</fpage>&#x2013;<lpage>818</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41380-021-01361-1</pub-id>, PMID: <pub-id pub-id-type="pmid">34711943</pub-id></citation></ref>
<ref id="ref23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Franceschi</surname> <given-names>C.</given-names></name> <name><surname>Garagnani</surname> <given-names>P.</given-names></name> <name><surname>Parini</surname> <given-names>P.</given-names></name> <name><surname>Giuliani</surname> <given-names>C.</given-names></name> <name><surname>Santoro</surname> <given-names>A.</given-names></name></person-group> (<year>2018</year>). <article-title>Inflammaging: a new immune-metabolic viewpoint for age-related diseases</article-title>. <source>Nat. Rev. Endocrinol.</source> <volume>14</volume>, <fpage>576</fpage>&#x2013;<lpage>590</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-018-0059-4</pub-id>, PMID: <pub-id pub-id-type="pmid">30046148</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="book"><person-group person-group-type="author"><name><surname>Franklin</surname> <given-names>K. B. J.</given-names></name> <name><surname>Paxinos</surname> <given-names>G.</given-names></name></person-group> (<year>2008</year>). <source>The mouse brain in stereotaxic coordinates</source>. <edition>3rd</edition> Edn. <publisher-loc>Amsterdam, Heidelberg</publisher-loc>: <publisher-name>Elsevier Academic Press</publisher-name>.</citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frischknecht</surname> <given-names>R.</given-names></name> <name><surname>Gundelfinger</surname> <given-names>E. D.</given-names></name></person-group> (<year>2012</year>). <article-title>The brain&#x2019;s extracellular matrix and its role in synaptic plasticity</article-title>. <source>Adv. Exp. Med. Biol.</source> <volume>970</volume>, <fpage>153</fpage>&#x2013;<lpage>171</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-7091-0932-8_7</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frischknecht</surname> <given-names>R.</given-names></name> <name><surname>Seidenbecher</surname> <given-names>C. I.</given-names></name></person-group> (<year>2012</year>). <article-title>Brevican: a key proteoglycan in the perisynaptic extracellular matrix of the brain</article-title>. <source>Int. J. Biochem. Cell Biol.</source> <volume>44</volume>, <fpage>1051</fpage>&#x2013;<lpage>1054</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biocel.2012.03.022</pub-id>, PMID: <pub-id pub-id-type="pmid">22537913</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gary</surname> <given-names>S. C.</given-names></name> <name><surname>Zerillo</surname> <given-names>C. A.</given-names></name> <name><surname>Chiang</surname> <given-names>V. L.</given-names></name> <name><surname>Gaw</surname> <given-names>J. U.</given-names></name> <name><surname>Gray</surname> <given-names>G.</given-names></name> <name><surname>Hockfield</surname> <given-names>S.</given-names></name></person-group> (<year>2000</year>). <article-title>cDNA cloning, chromosomal localization, and expression analysis of human BEHAB/brevican, a brain specific proteoglycan regulated during cortical development and in glioma</article-title>. <source>Gene</source> <volume>256</volume>, <fpage>139</fpage>&#x2013;<lpage>147</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0378-1119(00)00362-0</pub-id>, PMID: <pub-id pub-id-type="pmid">11054543</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gaunt</surname> <given-names>J. R.</given-names></name> <name><surname>Zainolabidin</surname> <given-names>N.</given-names></name> <name><surname>Yip</surname> <given-names>A. K. K.</given-names></name> <name><surname>Tan</surname> <given-names>J. M.</given-names></name> <name><surname>Low</surname> <given-names>A. Y. T.</given-names></name> <name><surname>Chen</surname> <given-names>A. I.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Cytokine enrichment in deep cerebellar nuclei is contributed by multiple glial populations and linked to reduced amyloid plaque pathology</article-title>. <source>J. Neuroinflammation</source> <volume>20</volume>:<fpage>269</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-023-02913-8</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gialeli</surname> <given-names>C.</given-names></name> <name><surname>Gungor</surname> <given-names>B.</given-names></name> <name><surname>Blom</surname> <given-names>A. M.</given-names></name></person-group> (<year>2018</year>). <article-title>Novel potential inhibitors of complement system and their roles in complement regulation and beyond</article-title>. <source>Mol. Immunol.</source> <volume>102</volume>, <fpage>73</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.molimm.2018.05.023</pub-id>, PMID: <pub-id pub-id-type="pmid">30217334</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ginhoux</surname> <given-names>F.</given-names></name> <name><surname>Greter</surname> <given-names>M.</given-names></name> <name><surname>Leboeuf</surname> <given-names>M.</given-names></name> <name><surname>Nandi</surname> <given-names>S.</given-names></name> <name><surname>See</surname> <given-names>P.</given-names></name> <name><surname>Gokhan</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Fate mapping analysis reveals that adult microglia derive from primitive macrophages</article-title>. <source>Science (New York, N.Y.)</source> <volume>330</volume>, <fpage>841</fpage>&#x2013;<lpage>845</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1194637</pub-id>, PMID: <pub-id pub-id-type="pmid">20966214</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grabert</surname> <given-names>K.</given-names></name> <name><surname>Michoel</surname> <given-names>T.</given-names></name> <name><surname>Karavolos</surname> <given-names>M. H.</given-names></name> <name><surname>Clohisey</surname> <given-names>S.</given-names></name> <name><surname>Baillie</surname> <given-names>J. K.</given-names></name> <name><surname>Stevens</surname> <given-names>M. P.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Microglial brain region-dependent diversity and selective regional sensitivities to aging</article-title>. <source>Nat. Neurosci.</source> <volume>19</volume>, <fpage>504</fpage>&#x2013;<lpage>516</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nn.4222</pub-id>, PMID: <pub-id pub-id-type="pmid">26780511</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hart</surname> <given-names>A. D.</given-names></name> <name><surname>Wyttenbach</surname> <given-names>A.</given-names></name> <name><surname>Perry</surname> <given-names>V. H.</given-names></name> <name><surname>Teeling</surname> <given-names>J. L.</given-names></name></person-group> (<year>2012</year>). <article-title>Age related changes in microglial phenotype vary between CNS regions: grey versus white matter differences</article-title>. <source>Brain Behav. Immun.</source> <volume>26</volume>, <fpage>754</fpage>&#x2013;<lpage>765</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbi.2011.11.006</pub-id>, PMID: <pub-id pub-id-type="pmid">22155499</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heneka</surname> <given-names>M. T.</given-names></name> <name><surname>Carson</surname> <given-names>M. J.</given-names></name> <name><surname>El Khoury</surname> <given-names>J.</given-names></name> <name><surname>Landreth</surname> <given-names>G. E.</given-names></name> <name><surname>Brosseron</surname> <given-names>F.</given-names></name> <name><surname>Feinstein</surname> <given-names>D. L.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Neuroinflammation in Alzheimer&#x2019;s disease</article-title>. <source>Lancet Neurol.</source> <volume>14</volume>, <fpage>388</fpage>&#x2013;<lpage>405</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1474-4422(15)70016-5</pub-id>, PMID: <pub-id pub-id-type="pmid">25792098</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hobson</surname> <given-names>B. D.</given-names></name> <name><surname>Sims</surname> <given-names>P. A.</given-names></name></person-group> (<year>2019</year>). <article-title>Critical analysis of particle detection artifacts in synaptosome flow cytometry</article-title>. <source>eNeuro</source> <volume>6</volume>:<fpage>ENEURO.0009-19.2019</fpage>. doi: <pub-id pub-id-type="doi">10.1523/ENEURO.0009-19.2019</pub-id>, PMID: <pub-id pub-id-type="pmid">31118205</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="other"><person-group person-group-type="author"><name><surname>Hong</surname> <given-names>S.</given-names></name> <name><surname>Beja-glasser</surname> <given-names>V. F.</given-names></name> <name><surname>Nfonoyim</surname> <given-names>B. M.</given-names></name> <name><surname>Frouin</surname> <given-names>A.</given-names></name> <name><surname>Li</surname> <given-names>S.</given-names></name> <name><surname>Ramakrishnan</surname> <given-names>S.</given-names></name> <etal/></person-group> (<year>2016</year>): <source>Complement and microglia mediate early synapse loss in Alzheimer mouse models</source>. <publisher-name>American Association for the Advancement of Science</publisher-name> 3/31/2016. Available online at: <ext-link xlink:href="https://www.science.org/doi/10.1126/science.aad8373" ext-link-type="uri">https://www.science.org/doi/10.1126/science.aad8373</ext-link> (accessed March 25, 2025).</citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Iskusnykh</surname> <given-names>I. Y.</given-names></name> <name><surname>Zakharova</surname> <given-names>A. A.</given-names></name> <name><surname>Kryl&#x2019;skii</surname> <given-names>E. D.</given-names></name> <name><surname>Popova</surname> <given-names>T. N.</given-names></name></person-group> (<year>2024</year>). <article-title>Aging, neurodegenerative disorders, and cerebellum</article-title>. <source>Int. J. Mol. Sci.</source> <volume>25</volume>:<fpage>1018</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms25021018</pub-id>, PMID: <pub-id pub-id-type="pmid">38256091</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>John</surname> <given-names>N.</given-names></name> <name><surname>Kr&#x00FC;gel</surname> <given-names>H.</given-names></name> <name><surname>Frischknecht</surname> <given-names>R.</given-names></name> <name><surname>Smalla</surname> <given-names>K.-H.</given-names></name> <name><surname>Schultz</surname> <given-names>C.</given-names></name> <name><surname>Kreutz</surname> <given-names>M. R.</given-names></name> <etal/></person-group>. (<year>2006</year>). <article-title>Brevican-containing perineuronal nets of extracellular matrix in dissociated hippocampal primary cultures</article-title>. <source>Mol. Cell. Neurosci.</source> <volume>31</volume>, <fpage>774</fpage>&#x2013;<lpage>784</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.mcn.2006.01.011</pub-id>, PMID: <pub-id pub-id-type="pmid">16503162</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jurcau</surname> <given-names>M. C.</given-names></name> <name><surname>Jurcau</surname> <given-names>A.</given-names></name> <name><surname>Cristian</surname> <given-names>A.</given-names></name> <name><surname>Hogea</surname> <given-names>V. O.</given-names></name> <name><surname>Diaconu</surname> <given-names>R. G.</given-names></name> <name><surname>Nunkoo</surname> <given-names>V. S.</given-names></name></person-group> (<year>2024</year>). <article-title>Inflammaging and brain aging</article-title>. <source>Int. J. Mol. Sci.</source> <volume>25</volume>:<fpage>10535</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms251910535</pub-id>, PMID: <pub-id pub-id-type="pmid">39408862</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Keren-Shaul</surname> <given-names>H.</given-names></name> <name><surname>Spinrad</surname> <given-names>A.</given-names></name> <name><surname>Weiner</surname> <given-names>A.</given-names></name> <name><surname>Matcovitch-Natan</surname> <given-names>O.</given-names></name> <name><surname>Dvir-Szternfeld</surname> <given-names>R.</given-names></name> <name><surname>Ulland</surname> <given-names>T. K.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>A unique microglia type associated with restricting development of Alzheimer&#x2019;s disease</article-title>. <source>Cell</source> <volume>169</volume>:<fpage>e17</fpage>, <fpage>1276</fpage>&#x2013;<lpage>1290</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2017.05.018</pub-id></citation></ref>
<ref id="ref40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lacy</surname> <given-names>P.</given-names></name> <name><surname>Stow</surname> <given-names>J. L.</given-names></name></person-group> (<year>2011</year>). <article-title>Cytokine release from innate immune cells: association with diverse membrane trafficking pathways</article-title>. <source>Blood</source> <volume>118</volume>, <fpage>9</fpage>&#x2013;<lpage>18</lpage>. doi: <pub-id pub-id-type="doi">10.1182/blood-2010-08-265892</pub-id>, PMID: <pub-id pub-id-type="pmid">21562044</pub-id></citation></ref>
<ref id="ref41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lein</surname> <given-names>E. S.</given-names></name> <name><surname>Hawrylycz</surname> <given-names>M. J.</given-names></name> <name><surname>Ao</surname> <given-names>N.</given-names></name> <name><surname>Ayres</surname> <given-names>M.</given-names></name> <name><surname>Bensinger</surname> <given-names>A.</given-names></name> <name><surname>Bernard</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2007</year>). <article-title>Genome-wide atlas of gene expression in the adult mouse brain</article-title>. <source>Nature</source> <volume>445</volume>, <fpage>168</fpage>&#x2013;<lpage>176</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature05453</pub-id>, PMID: <pub-id pub-id-type="pmid">17151600</pub-id></citation></ref>
<ref id="ref42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>T.</given-names></name> <name><surname>Le</surname> <given-names>W.</given-names></name> <name><surname>Jankovic</surname> <given-names>J.</given-names></name></person-group> (<year>2023</year>). <article-title>Linking the cerebellum to Parkinson disease: an update</article-title>. <source>Nat. Rev. Neurol.</source> <volume>19</volume>, <fpage>645</fpage>&#x2013;<lpage>654</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41582-023-00874-3</pub-id>, PMID: <pub-id pub-id-type="pmid">37752351</pub-id></citation></ref>
<ref id="ref43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>S.</given-names></name> <name><surname>Liu</surname> <given-names>H.</given-names></name> <name><surname>Lv</surname> <given-names>P.</given-names></name> <name><surname>Yao</surname> <given-names>Y.</given-names></name> <name><surname>Peng</surname> <given-names>L.</given-names></name> <name><surname>Xia</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Microglia mediate memory dysfunction via excitatory synaptic elimination in a fracture surgery mouse model</article-title>. <source>J. Neuroinflammation</source> <volume>21</volume>:<fpage>227</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-024-03216-2</pub-id>, PMID: <pub-id pub-id-type="pmid">39285282</pub-id></citation></ref>
<ref id="ref44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lian</surname> <given-names>H.</given-names></name> <name><surname>Yang</surname> <given-names>L.</given-names></name> <name><surname>Cole</surname> <given-names>A.</given-names></name> <name><surname>Sun</surname> <given-names>L.</given-names></name> <name><surname>Chiang</surname> <given-names>A. C.-A.</given-names></name> <name><surname>Fowler</surname> <given-names>S. W.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>NF&#x03BA;B-activated astroglial release of complement C3 compromises neuronal morphology and function associated with Alzheimer&#x2019;s disease</article-title>. <source>Neuron</source> <volume>85</volume>, <fpage>101</fpage>&#x2013;<lpage>115</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2014.11.018</pub-id></citation></ref>
<ref id="ref45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Litvinchuk</surname> <given-names>A.</given-names></name> <name><surname>Wan</surname> <given-names>Y.-W.</given-names></name> <name><surname>Swartzlander</surname> <given-names>D. B.</given-names></name> <name><surname>Chen</surname> <given-names>F.</given-names></name> <name><surname>Cole</surname> <given-names>A.</given-names></name> <name><surname>Propson</surname> <given-names>N. E.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Complement C3aR inactivation attenuates tau pathology and reverses an immune network deregulated in Tauopathy models and Alzheimer&#x2019;s disease</article-title>. <source>Neuron</source> <volume>100</volume>:<fpage>e5</fpage>, <fpage>1337</fpage>&#x2013;<lpage>1353</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2018.10.031</pub-id></citation></ref>
<ref id="ref46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Massagu&#x00E9;</surname> <given-names>J.</given-names></name> <name><surname>Sheppard</surname> <given-names>D.</given-names></name></person-group> (<year>2023</year>). <article-title>TGF-&#x03B2; signaling in health and disease</article-title>. <source>Cell</source> <volume>186</volume>, <fpage>4007</fpage>&#x2013;<lpage>4037</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2023.07.036</pub-id>, PMID: <pub-id pub-id-type="pmid">37714133</pub-id></citation></ref>
<ref id="ref47"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McElroy</surname> <given-names>C. L.</given-names></name> <name><surname>Wang</surname> <given-names>B.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Jin</surname> <given-names>K.</given-names></name></person-group> (<year>2024</year>). <article-title>Cerebellum and aging: update and challenges</article-title>. <source>Aging Dis.</source> <volume>15</volume>, <fpage>2345</fpage>&#x2013;<lpage>2360</lpage>. doi: <pub-id pub-id-type="doi">10.14336/AD.2024.0220</pub-id></citation></ref>
<ref id="ref48"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Melo Dos Santos</surname> <given-names>L. S.</given-names></name> <name><surname>Trombetta-Lima</surname> <given-names>M.</given-names></name> <name><surname>Eggen</surname> <given-names>B.</given-names></name> <name><surname>Demaria</surname> <given-names>M.</given-names></name></person-group> (<year>2024</year>). <article-title>Cellular senescence in brain aging and neurodegeneration</article-title>. <source>Ageing Res. Rev.</source> <volume>93</volume>:<fpage>102141</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.arr.2023.102141</pub-id>, PMID: <pub-id pub-id-type="pmid">38030088</pub-id></citation></ref>
<ref id="ref49"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morter&#x00E1;</surname> <given-names>P.</given-names></name> <name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name></person-group> (<year>2012</year>). <article-title>Age-related neuronal loss in the rat brain starts at the end of adolescence</article-title>. <source>Front. Neuroanat.</source> <volume>6</volume>:<fpage>45</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnana.2012.00045</pub-id>, PMID: <pub-id pub-id-type="pmid">23112765</pub-id></citation></ref>
<ref id="ref50"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mrdjen</surname> <given-names>D.</given-names></name> <name><surname>Pavlovic</surname> <given-names>A.</given-names></name> <name><surname>Hartmann</surname> <given-names>F. J.</given-names></name> <name><surname>Schreiner</surname> <given-names>B.</given-names></name> <name><surname>Utz</surname> <given-names>S. G.</given-names></name> <name><surname>Leung</surname> <given-names>B. P.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>High-dimensional single-cell mapping of central nervous system immune cells reveals distinct myeloid subsets in health, aging, and disease</article-title>. <source>Immunity</source> <volume>48</volume>, <fpage>380</fpage>&#x2013;<lpage>395.e6</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2018.01.011</pub-id>, PMID: <pub-id pub-id-type="pmid">29426702</pub-id></citation></ref>
<ref id="ref51"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakanishi</surname> <given-names>H.</given-names></name> <name><surname>Wu</surname> <given-names>Z.</given-names></name></person-group> (<year>2009</year>). <article-title>Microglia-aging: roles of microglial lysosome- and mitochondria-derived reactive oxygen species in brain aging</article-title>. <source>Behav. Brain Res.</source> <volume>201</volume>, <fpage>1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2009.02.001</pub-id>, PMID: <pub-id pub-id-type="pmid">19428609</pub-id></citation></ref>
<ref id="ref52"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Neniskyte</surname> <given-names>U.</given-names></name> <name><surname>Gross</surname> <given-names>C. T.</given-names></name></person-group> (<year>2017</year>). <article-title>Errant gardeners: glial-cell-dependent synaptic pruning and neurodevelopmental disorders</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>18</volume>, <fpage>658</fpage>&#x2013;<lpage>670</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn.2017.110</pub-id>, PMID: <pub-id pub-id-type="pmid">28931944</pub-id></citation></ref>
<ref id="ref53"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nguyen</surname> <given-names>P. T.</given-names></name> <name><surname>Dorman</surname> <given-names>L. C.</given-names></name> <name><surname>Pan</surname> <given-names>S.</given-names></name> <name><surname>Vainchtein</surname> <given-names>I. D.</given-names></name> <name><surname>Han</surname> <given-names>R. T.</given-names></name> <name><surname>Nakao-Inoue</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Microglial remodeling of the extracellular matrix promotes synapse plasticity</article-title>. <source>Cell</source> <volume>182</volume>:<fpage>e15</fpage>, <fpage>388</fpage>&#x2013;<lpage>403</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2020.05.050</pub-id></citation></ref>
<ref id="ref54"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ojha</surname> <given-names>H.</given-names></name> <name><surname>Ghosh</surname> <given-names>P.</given-names></name> <name><surname>Singh Panwar</surname> <given-names>H.</given-names></name> <name><surname>Shende</surname> <given-names>R.</given-names></name> <name><surname>Gondane</surname> <given-names>A.</given-names></name> <name><surname>Mande</surname> <given-names>S. C.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Spatially conserved motifs in complement control protein domains determine functionality in regulators of complement activation-family proteins</article-title>. <source>Commun. Biol.</source> <volume>2</volume>:<fpage>290</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s42003-019-0529-9</pub-id>, PMID: <pub-id pub-id-type="pmid">31396570</pub-id></citation></ref>
<ref id="ref55"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paolicelli</surname> <given-names>R. C.</given-names></name> <name><surname>Sierra</surname> <given-names>A.</given-names></name> <name><surname>Stevens</surname> <given-names>B.</given-names></name> <name><surname>Tremblay</surname> <given-names>M.-E.</given-names></name> <name><surname>Aguzzi</surname> <given-names>A.</given-names></name> <name><surname>Ajami</surname> <given-names>B.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Microglia states and nomenclature: a field at its crossroads</article-title>. <source>Neuron</source> <volume>110</volume>, <fpage>3458</fpage>&#x2013;<lpage>3483</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2022.10.020</pub-id>, PMID: <pub-id pub-id-type="pmid">36327895</pub-id></citation></ref>
<ref id="ref56"><citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">R Core Team</collab></person-group>. (<year>2025</year>). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available online at: <ext-link xlink:href="https://www.R-project.org/" ext-link-type="uri">https://www.R-project.org/</ext-link> (Accessed April 11, 2025).</citation></ref>
<ref id="ref57"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reichwald</surname> <given-names>J.</given-names></name> <name><surname>Danner</surname> <given-names>S.</given-names></name> <name><surname>Wiederhold</surname> <given-names>K.-H.</given-names></name> <name><surname>Staufenbiel</surname> <given-names>M.</given-names></name></person-group> (<year>2009</year>). <article-title>Expression of complement system components during aging and amyloid deposition in APP transgenic mice</article-title>. <source>J. Neuroinflammation</source> <volume>6</volume>:<fpage>35</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1742-2094-6-35</pub-id>, PMID: <pub-id pub-id-type="pmid">19917141</pub-id></citation></ref>
<ref id="ref58"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rosenberg</surname> <given-names>G. A.</given-names></name></person-group> (<year>2002</year>). <article-title>Matrix metalloproteinases in neuroinflammation</article-title>. <source>Glia</source> <volume>39</volume>, <fpage>279</fpage>&#x2013;<lpage>291</lpage>. doi: <pub-id pub-id-type="doi">10.1002/glia.10108</pub-id>, PMID: <pub-id pub-id-type="pmid">12203394</pub-id></citation></ref>
<ref id="ref59"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Samson</surname> <given-names>M.</given-names></name> <name><surname>Claassen</surname> <given-names>D. O.</given-names></name></person-group> (<year>2017</year>). <article-title>Neurodegeneration and the cerebellum</article-title>. <source>Neurodegener Dis</source> <volume>17</volume>, <fpage>155</fpage>&#x2013;<lpage>165</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000460818</pub-id>, PMID: <pub-id pub-id-type="pmid">28463835</pub-id></citation></ref>
<ref id="ref60"><citation citation-type="book"><person-group person-group-type="author"><name><surname>Sarkar</surname> <given-names>D.</given-names></name></person-group> (<year>2008</year>). <source>Lattice: multivariate data visualization with R</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Springer New York</publisher-name>.</citation></ref>
<ref id="ref61"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schafer</surname> <given-names>D. P.</given-names></name> <name><surname>Lehrman</surname> <given-names>E. K.</given-names></name> <name><surname>Kautzman</surname> <given-names>A. G.</given-names></name> <name><surname>Koyama</surname> <given-names>R.</given-names></name> <name><surname>Mardinly</surname> <given-names>A. R.</given-names></name> <name><surname>Yamasaki</surname> <given-names>R.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner</article-title>. <source>Neuron</source> <volume>74</volume>, <fpage>691</fpage>&#x2013;<lpage>705</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2012.03.026</pub-id>, PMID: <pub-id pub-id-type="pmid">22632727</pub-id></citation></ref>
<ref id="ref62"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>Q.</given-names></name> <name><surname>Colodner</surname> <given-names>K. J.</given-names></name> <name><surname>Matousek</surname> <given-names>S. B.</given-names></name> <name><surname>Merry</surname> <given-names>K.</given-names></name> <name><surname>Hong</surname> <given-names>S.</given-names></name> <name><surname>Kenison</surname> <given-names>J. E.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Complement C3-deficient mice fail to display age-related hippocampal decline</article-title>. <source>J. Neurosci.</source> <volume>35</volume>, <fpage>13029</fpage>&#x2013;<lpage>13042</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.1698-15.2015</pub-id>, PMID: <pub-id pub-id-type="pmid">26400934</pub-id></citation></ref>
<ref id="ref63"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sikora</surname> <given-names>E.</given-names></name> <name><surname>Bielak-Zmijewska</surname> <given-names>A.</given-names></name> <name><surname>Dudkowska</surname> <given-names>M.</given-names></name> <name><surname>Krzystyniak</surname> <given-names>A.</given-names></name> <name><surname>Mosieniak</surname> <given-names>G.</given-names></name> <name><surname>Wesierska</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Cellular senescence in brain aging</article-title>. <source>Front. Aging Neurosci.</source> <volume>13</volume>:<fpage>646924</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnagi.2021.646924</pub-id>, PMID: <pub-id pub-id-type="pmid">33732142</pub-id></citation></ref>
<ref id="ref64"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stephan</surname> <given-names>A. H.</given-names></name> <name><surname>Barres</surname> <given-names>B. A.</given-names></name> <name><surname>Stevens</surname> <given-names>B.</given-names></name></person-group> (<year>2012</year>). <article-title>The complement system: an unexpected role in synaptic pruning during development and disease</article-title>. <source>Annu. Rev. Neurosci.</source> <volume>35</volume>, <fpage>369</fpage>&#x2013;<lpage>389</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-neuro-061010-113810</pub-id></citation></ref>
<ref id="ref65"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stephan</surname> <given-names>A. H.</given-names></name> <name><surname>Madison</surname> <given-names>D. V.</given-names></name> <name><surname>Mateos</surname> <given-names>J. M.</given-names></name> <name><surname>Fraser</surname> <given-names>D. A.</given-names></name> <name><surname>Lovelett</surname> <given-names>E. A.</given-names></name> <name><surname>Coutellier</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>A dramatic increase of C1q protein in the CNS during normal aging</article-title>. <source>J. Neurosci.</source> <volume>33</volume>, <fpage>13460</fpage>&#x2013;<lpage>13474</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.1333-13.2013</pub-id>, PMID: <pub-id pub-id-type="pmid">23946404</pub-id></citation></ref>
<ref id="ref66"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stevens</surname> <given-names>B.</given-names></name> <name><surname>Allen</surname> <given-names>N. J.</given-names></name> <name><surname>Vazquez</surname> <given-names>L. E.</given-names></name> <name><surname>Howell</surname> <given-names>G. R.</given-names></name> <name><surname>Christopherson</surname> <given-names>K. S.</given-names></name> <name><surname>Nouri</surname> <given-names>N.</given-names></name> <etal/></person-group>. (<year>2007</year>). <article-title>The classical complement cascade mediates CNS synapse elimination</article-title>. <source>Cell</source> <volume>131</volume>, <fpage>1164</fpage>&#x2013;<lpage>1178</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2007.10.036</pub-id>, PMID: <pub-id pub-id-type="pmid">18083105</pub-id></citation></ref>
<ref id="ref67"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stoyanov</surname> <given-names>S.</given-names></name> <name><surname>Sun</surname> <given-names>W.</given-names></name> <name><surname>D&#x00FC;sedau</surname> <given-names>H. P.</given-names></name> <name><surname>Cangalaya</surname> <given-names>C.</given-names></name> <name><surname>Choi</surname> <given-names>I.</given-names></name> <name><surname>Mirzapourdelavar</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Attenuation of the extracellular matrix restores microglial activity during the early stage of amyloidosis</article-title>. <source>Glia</source> <volume>69</volume>, <fpage>182</fpage>&#x2013;<lpage>200</lpage>. doi: <pub-id pub-id-type="doi">10.1002/glia.23894</pub-id>, PMID: <pub-id pub-id-type="pmid">32865286</pub-id></citation></ref>
<ref id="ref68"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Strackeljan</surname> <given-names>L.</given-names></name> <name><surname>Baczynska</surname> <given-names>E.</given-names></name> <name><surname>Cangalaya</surname> <given-names>C.</given-names></name> <name><surname>Baidoe-Ansah</surname> <given-names>D.</given-names></name> <name><surname>Wlodarczyk</surname> <given-names>J.</given-names></name> <name><surname>Kaushik</surname> <given-names>R.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Microglia depletion-induced remodeling of extracellular matrix and excitatory synapses in the hippocampus of adult mice</article-title>. <source>Cells</source> <volume>10</volume>:<fpage>1862</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cells10081862</pub-id>, PMID: <pub-id pub-id-type="pmid">34440631</pub-id></citation></ref>
<ref id="ref69"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Strackeljan</surname> <given-names>L.</given-names></name> <name><surname>Baidoe-Ansah</surname> <given-names>D.</given-names></name> <name><surname>Mirzapourdelavar</surname> <given-names>H.</given-names></name> <name><surname>Jia</surname> <given-names>S.</given-names></name> <name><surname>Kaushik</surname> <given-names>R.</given-names></name> <name><surname>Cangalaya</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Partial microglial depletion through inhibition of colony-stimulating factor 1 receptor improves synaptic plasticity and cognitive performance in aged mice</article-title>. <source>Exp. Neurol.</source> <volume>387</volume>:<fpage>115186</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.expneurol.2025.115186</pub-id>, PMID: <pub-id pub-id-type="pmid">39956381</pub-id></citation></ref>
<ref id="ref70"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sunnemark</surname> <given-names>D.</given-names></name> <name><surname>Eltayeb</surname> <given-names>S.</given-names></name> <name><surname>Nilsson</surname> <given-names>M.</given-names></name> <name><surname>Wallstr&#x00F6;m</surname> <given-names>E.</given-names></name> <name><surname>Lassmann</surname> <given-names>H.</given-names></name> <name><surname>Olsson</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2005</year>). <article-title>CX3CL1 (fractalkine) and CX3CR1 expression in myelin oligodendrocyte glycoprotein-induced experimental autoimmune encephalomyelitis: kinetics and cellular origin</article-title>. <source>J. Neuroinflammation</source> <volume>2</volume>:<fpage>17</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1742-2094-2-17</pub-id>, PMID: <pub-id pub-id-type="pmid">16053521</pub-id></citation></ref>
<ref id="ref71"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sutherland</surname> <given-names>T. E.</given-names></name> <name><surname>Dyer</surname> <given-names>D. P.</given-names></name> <name><surname>Allen</surname> <given-names>J. E.</given-names></name></person-group> (<year>2023</year>). <article-title>The extracellular matrix and the immune system: a mutually dependent relationship</article-title>. <source>Science</source> <volume>379</volume>:<fpage>eabp8964</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.abp8964</pub-id></citation></ref>
<ref id="ref72"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>T&#x00F8;nnesen</surname> <given-names>J.</given-names></name> <name><surname>Hrab&#x0115;tov&#x00E1;</surname> <given-names>S.</given-names></name> <name><surname>Soria</surname> <given-names>F. N.</given-names></name></person-group> (<year>2023</year>). <article-title>Local diffusion in the extracellular space of the brain</article-title>. <source>Neurobiol. Dis.</source> <volume>177</volume>:<fpage>105981</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nbd.2022.105981</pub-id>, PMID: <pub-id pub-id-type="pmid">36581229</pub-id></citation></ref>
<ref id="ref73"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tucker</surname> <given-names>R. P.</given-names></name> <name><surname>Adams</surname> <given-names>J. C.</given-names></name></person-group> (<year>2024</year>). <article-title>Molecular evolution of the thrombospondin superfamily</article-title>. <source>Semin. Cell Dev. Biol.</source> <volume>155</volume>, <fpage>12</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.semcdb.2023.05.004</pub-id></citation></ref>
<ref id="ref74"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vasek</surname> <given-names>M. J.</given-names></name> <name><surname>Garber</surname> <given-names>C.</given-names></name> <name><surname>Dorsey</surname> <given-names>D.</given-names></name> <name><surname>Durrant</surname> <given-names>D. M.</given-names></name> <name><surname>Bollman</surname> <given-names>B.</given-names></name> <name><surname>Soung</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>A complement-microglial axis drives synapse loss during virus-induced memory impairment</article-title>. <source>Nature</source> <volume>534</volume>, <fpage>538</fpage>&#x2013;<lpage>543</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature18283</pub-id>, PMID: <pub-id pub-id-type="pmid">27337340</pub-id></citation></ref>
<ref id="ref75"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolf</surname> <given-names>S. A.</given-names></name> <name><surname>Boddeke</surname> <given-names>H. W. G. M.</given-names></name> <name><surname>Kettenmann</surname> <given-names>H.</given-names></name></person-group> (<year>2017</year>). <article-title>Microglia in physiology and disease</article-title>. <source>Annu. Rev. Physiol.</source> <volume>79</volume>, <fpage>619</fpage>&#x2013;<lpage>643</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-physiol-022516-034406</pub-id>, PMID: <pub-id pub-id-type="pmid">27959620</pub-id></citation></ref>
<ref id="ref76"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Woodruff-Pak</surname> <given-names>D. S.</given-names></name> <name><surname>Foy</surname> <given-names>M. R.</given-names></name> <name><surname>Akopian</surname> <given-names>G. G.</given-names></name> <name><surname>Lee</surname> <given-names>K. H.</given-names></name> <name><surname>Zach</surname> <given-names>J.</given-names></name> <name><surname>Nguyen</surname> <given-names>K. P. T.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Differential effects and rates of normal aging in cerebellum and hippocampus</article-title>. <source>Proc. Natl. Acad. Sci. USA</source> <volume>107</volume>, <fpage>1624</fpage>&#x2013;<lpage>1629</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0914207107</pub-id>, PMID: <pub-id pub-id-type="pmid">20080589</pub-id></citation></ref>
<ref id="ref77"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>H.</given-names></name> <name><surname>Chen</surname> <given-names>M.</given-names></name> <name><surname>Manivannan</surname> <given-names>A.</given-names></name> <name><surname>Lois</surname> <given-names>N.</given-names></name> <name><surname>Forrester</surname> <given-names>J. V.</given-names></name></person-group> (<year>2008</year>). <article-title>Age-dependent accumulation of lipofuscin in perivascular and subretinal microglia in experimental mice</article-title>. <source>Aging Cell</source> <volume>7</volume>, <fpage>58</fpage>&#x2013;<lpage>68</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1474-9726.2007.00351.x</pub-id>, PMID: <pub-id pub-id-type="pmid">17988243</pub-id></citation></ref>
<ref id="ref78"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yong</surname> <given-names>V. W.</given-names></name> <name><surname>Power</surname> <given-names>C.</given-names></name> <name><surname>Forsyth</surname> <given-names>P.</given-names></name> <name><surname>Edwards</surname> <given-names>D. R.</given-names></name></person-group> (<year>2001</year>). <article-title>Metalloproteinases in biology and pathology of the nervous system</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>2</volume>, <fpage>502</fpage>&#x2013;<lpage>511</lpage>. doi: <pub-id pub-id-type="doi">10.1038/35081571</pub-id>, PMID: <pub-id pub-id-type="pmid">11433375</pub-id></citation></ref>
<ref id="ref79"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Xiao</surname> <given-names>D.</given-names></name> <name><surname>Mao</surname> <given-names>Q.</given-names></name> <name><surname>Xia</surname> <given-names>H.</given-names></name></person-group> (<year>2023</year>). <article-title>Role of neuroinflammation in neurodegeneration development</article-title>. <source>Signal Transduct. Target. Ther.</source> <volume>8</volume>:<fpage>267</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41392-023-01486-5</pub-id>, PMID: <pub-id pub-id-type="pmid">37433768</pub-id></citation></ref>
<ref id="ref80"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhong</surname> <given-names>L.</given-names></name> <name><surname>Sheng</surname> <given-names>X.</given-names></name> <name><surname>Wang</surname> <given-names>W.</given-names></name> <name><surname>Li</surname> <given-names>Y.</given-names></name> <name><surname>Zhuo</surname> <given-names>R.</given-names></name> <name><surname>Wang</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>TREM2 receptor protects against complement-mediated synaptic loss by binding to complement C1q during neurodegeneration</article-title>. <source>Immunity</source> <volume>56</volume>, <fpage>1794</fpage>&#x2013;<lpage>1808e8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.immuni.2023.06.016</pub-id></citation></ref>
</ref-list>
</back>
</article>