<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN"  "JATS-archivearticle1-3-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic" pub-type="epub">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">100708</article-id><article-id pub-id-type="doi">10.7554/eLife.100708</article-id><article-id pub-id-type="doi" specific-use="version">10.7554/eLife.100708.3</article-id><article-version article-version-type="publication-state">version of record</article-version><article-categories><subj-group subj-group-type="display-channel"><subject>Short Report</subject></subj-group><subj-group subj-group-type="heading"><subject>Immunology and Inflammation</subject></subj-group><subj-group subj-group-type="heading"><subject>Medicine</subject></subj-group></article-categories><title-group><article-title>Complement 3a receptor 1 on macrophages and Kupffer cells is not required for the pathogenesis of metabolic dysfunction-associated steatotic liver disease</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Homan</surname><given-names>Edwin A</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-2923-9635</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund4"/><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Gilani</surname><given-names>Ankit</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund5"/><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Rubio-Navarro</surname><given-names>Alfonso</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Maya A</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Schaepkens</surname><given-names>Odin M</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Cortada</surname><given-names>Eric</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con6"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Pereira de Lima</surname><given-names>Renan</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund6"/><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Stoll</surname><given-names>Lisa</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund7"/><xref ref-type="fn" rid="con8"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Lo</surname><given-names>James C</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-0244-1670</contrib-id><email>jlo@med.cornell.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund1"/><xref ref-type="other" rid="fund2"/><xref ref-type="other" rid="fund3"/><xref ref-type="fn" rid="con9"/><xref ref-type="fn" rid="conf1"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02r109517</institution-id><institution>Division of Cardiology, Department of Medicine, Cardiovascular Research Institute, Weill Center for Metabolic Health, Weill Cornell Medicine</institution></institution-wrap><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Mori</surname><given-names>Marcelo A</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/04wffgt70</institution-id><institution>State University of Campinas</institution></institution-wrap><country>Brazil</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>James</surname><given-names>David E</given-names></name><role>Senior Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/0384j8v12</institution-id><institution>University of Sydney</institution></institution-wrap><country>Australia</country></aff></contrib></contrib-group><pub-date publication-format="electronic" date-type="publication"><day>08</day><month>01</month><year>2025</year></pub-date><volume>13</volume><elocation-id>RP100708</elocation-id><history><date date-type="sent-for-review" iso-8601-date="2024-06-26"><day>26</day><month>06</month><year>2024</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint.</event-desc><date date-type="preprint" iso-8601-date="2024-06-28"><day>28</day><month>06</month><year>2024</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2024.06.26.24309550"/></event><event><event-desc>This manuscript was published as a reviewed preprint.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-09-26"><day>26</day><month>09</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.100708.1"/></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-12-03"><day>03</day><month>12</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.100708.2"/></event></pub-history><permissions><copyright-statement>© 2024, Homan et al</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>Homan et al</copyright-holder><ali:free_to_read/><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref>http://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="elife-100708-v1.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-100708-figures-v1.pdf"/><abstract><p>Together with obesity and type 2 diabetes, metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global epidemic. Activation of the complement system and infiltration of macrophages has been linked to progression of metabolic liver disease. The role of complement receptors in macrophage activation and recruitment in MASLD remains poorly understood. In human and mouse, <italic>C3AR1</italic> in the liver is expressed primarily in Kupffer cells, but is downregulated in humans with MASLD compared to obese controls. To test the role of complement 3a receptor (C3aR1) on macrophages and liver resident macrophages in MASLD, we generated mice deficient in C3aR1 on all macrophages (C3aR1-MφKO) or specifically in liver Kupffer cells (C3aR1-KpKO) and subjected them to a model of metabolic steatotic liver disease. We show that macrophages account for the vast majority of <italic>C3ar1</italic> expression in the liver. Overall, C3aR1-MφKO and C3aR1-KpKO mice have similar body weight gain without significant alterations in glucose homeostasis, hepatic steatosis and fibrosis, compared to controls on a MASLD-inducing diet. This study demonstrates that C3aR1 deletion in macrophages or Kupffer cells, the predominant liver cell type expressing <italic>C3ar1</italic>, has no significant effect on liver steatosis, inflammation or fibrosis in a dietary MASLD model.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>C3ar1</kwd><kwd>macrophages</kwd><kwd>kupffer cells</kwd><kwd>metabolic dysfunction-associated steatotic liver disease</kwd><kwd>fatty liver disease</kwd><kwd>non-alcoholic fatty liver disease</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd>Human</kwd><kwd>Mouse</kwd></kwd-group><funding-group><award-group id="fund1"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>DK121140</award-id><principal-award-recipient><name><surname>Lo</surname><given-names>James C</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>DK121844</award-id><principal-award-recipient><name><surname>Lo</surname><given-names>James C</given-names></name></principal-award-recipient></award-group><award-group id="fund3"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>DK132879</award-id><principal-award-recipient><name><surname>Lo</surname><given-names>James C</given-names></name></principal-award-recipient></award-group><award-group id="fund4"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>5T32HL160520</award-id><principal-award-recipient><name><surname>Homan</surname><given-names>Edwin A</given-names></name></principal-award-recipient></award-group><award-group id="fund5"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000041</institution-id><institution>American Diabetes Association</institution></institution-wrap></funding-source><award-id>9-22-PDFPM-01</award-id><principal-award-recipient><name><surname>Gilani</surname><given-names>Ankit</given-names></name></principal-award-recipient></award-group><award-group id="fund6"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000968</institution-id><institution>American Heart Association</institution></institution-wrap></funding-source><award-id award-id-type="doi">10.58275/aha.23divsup1074485.pc.gr.168377</award-id><principal-award-recipient><name><surname>Pereira de Lima</surname><given-names>Renan</given-names></name></principal-award-recipient></award-group><award-group id="fund7"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000968</institution-id><institution>American Heart Association</institution></institution-wrap></funding-source><award-id>908952</award-id><principal-award-recipient><name><surname>Stoll</surname><given-names>Lisa</given-names></name></principal-award-recipient></award-group><funding-statement>The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.</funding-statement></funding-group><custom-meta-group><custom-meta specific-use="meta-only"><meta-name>Author impact statement</meta-name><meta-value>Ablation of the G-protein-coupled receptor C3aR1 specifically on macrophages or Kupffer cells does not alter the course of metabolic dysfunction-associated steatotic liver disease in a dietary mouse model.</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>publishing-route</meta-name><meta-value>prc</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Obesity and related metabolic diseases such as type 2 diabetes (T2D) and metabolic dysfunction-associated steatotic liver disease (MASLD) remain a worldwide epidemic with increasing prevalence (<xref ref-type="bibr" rid="bib9">Ge et al., 2020</xref>; <xref ref-type="bibr" rid="bib42">Younossi et al., 2018</xref>). MASLD describes the constellation of hepatic lipid deposition, inflammation, and fibrosis associated with obesity and T2D that ultimately leads to MASH cirrhosis, which has become the leading cause of liver transplantation in the United States (<xref ref-type="bibr" rid="bib6">Ferguson and Finck, 2021</xref>; <xref ref-type="bibr" rid="bib8">Friedman et al., 2018</xref>; <xref ref-type="bibr" rid="bib34">Stefan et al., 2019</xref>; <xref ref-type="bibr" rid="bib18">Kim et al., 2021</xref>). Notably, MASLD is increasingly recognized as an important risk-enhancing factor for atherosclerotic cardiovascular disease (<xref ref-type="bibr" rid="bib5">Duell et al., 2022</xref>; <xref ref-type="bibr" rid="bib17">Kasper et al., 2021</xref>).</p><p>Liver macrophages help to maintain hepatic homeostasis and consist of embryo-derived resident macrophages called Kupffer cells, which self-renew and do not migrate, or peripheral monocyte-derived macrophages, which infiltrate into liver tissue upon metabolic or toxic liver injury and under certain circumstances can take on Kupffer cell-like identity (<xref ref-type="bibr" rid="bib1">Barreby et al., 2022</xref>; <xref ref-type="bibr" rid="bib3">Cai et al., 2019</xref>; <xref ref-type="bibr" rid="bib13">Guilliams and Scott, 2022</xref>; <xref ref-type="bibr" rid="bib30">Park et al., 2023</xref>; <xref ref-type="bibr" rid="bib32">Sakai et al., 2019</xref>). In obesity, bone-marrow-derived myeloid cells migrate to the steatotic liver, and pro-inflammatory recruited macrophages are postulated to drive the progression of MASLD to MASH (<xref ref-type="bibr" rid="bib21">Krenkel et al., 2020</xref>). Spatial proteogenomics reveals a population of lipid-associated macrophages near bile canaliculi that is induced by local lipid exposure and drives fibrosis in steatotic regions of murine and human liver (<xref ref-type="bibr" rid="bib12">Guilliams et al., 2022</xref>). In addition, deep transcriptomic profiling in human MASLD has identified candidate gene signatures for steatohepatitis and fibrosis with possible therapeutic implications (<xref ref-type="bibr" rid="bib11">Govaere et al., 2020</xref>).</p><p>Activation of the body’s complement system leads to increased cell lysis, phagocytosis, and inflammation (<xref ref-type="bibr" rid="bib29">Merle et al., 2015</xref>), and it is increasingly recognized as an important contributor to regulation of metabolic disorders such as T2D and MASLD (<xref ref-type="bibr" rid="bib19">Kolev and Kemper, 2017</xref>; <xref ref-type="bibr" rid="bib44">Zhao et al., 2022</xref>). In human liver biopsies, higher lobular inflammation scores correlate with activation of the complement alternative pathway (<xref ref-type="bibr" rid="bib33">Segers et al., 2014</xref>), which can signal <italic>via</italic> the C3a receptor 1 (C3aR1), a G<sub>i</sub>-coupled G protein-coupled receptor (<xref ref-type="bibr" rid="bib28">Markiewski and Lambris, 2007</xref>). The complement 3 polypeptide (C3) is cleaved by C3 convertase to the activated fragment, C3a, which then binds C3aR1 (<xref ref-type="bibr" rid="bib41">Yadav et al., 2023</xref>). Complement factor D (CFD), also known as the adipokine adipsin, is the rate-limiting step in the alternative pathway of complement activation (<xref ref-type="bibr" rid="bib7">Flier et al., 1987</xref>; <xref ref-type="bibr" rid="bib40">Xu et al., 2001</xref>).</p><p>Several studies have reported opposing roles of adipsin and C3aR1 on hepatic steatosis in diet-induced obesity (<xref ref-type="bibr" rid="bib23">Lim et al., 2013</xref>; <xref ref-type="bibr" rid="bib31">Polyzos et al., 2016</xref>; <xref ref-type="bibr" rid="bib15">Han and Zhang, 2021</xref>). Our lab has found that adipsin/CFD is critical for maintaining pancreatic beta cell mass and function (<xref ref-type="bibr" rid="bib24">Lo et al., 2014</xref>; <xref ref-type="bibr" rid="bib10">Gómez-Banoy et al., 2019</xref>). Murine obese and diabetic models such as <italic>db/db</italic> mice and high-fat diet (HFD) feeding result in very low circulating adipsin (<xref ref-type="bibr" rid="bib7">Flier et al., 1987</xref>). Replenishing adipsin in <italic>db/db</italic> mice raises levels of C3a and insulin, lowers blood glucose levels, and inhibits hepatic gluconeogenesis (<xref ref-type="bibr" rid="bib24">Lo et al., 2014</xref>). However, whole-body deletion of C3aR1 decreases macrophage infiltration and activation in adipose tissue, protects from HFD-induced obesity and glucose intolerance, and decreases hepatic steatosis and inflammation (<xref ref-type="bibr" rid="bib27">Mamane et al., 2009</xref>). In a model of fibrosing steatohepatitis, bone-marrow-derived macrophages were found to activate hepatic stellate cells, which was blunted in whole-body C3aR1 KO mice (<xref ref-type="bibr" rid="bib14">Han et al., 2019</xref>).</p><p>In the present study, we aim to explore the macrophage-specific effect of complement receptor signaling in MASLD pathogenesis. To determine the consequences of macrophage and Kupffer cell ablation of C3aR1, we use a murine dietary model of MALFD/MASH, the Gubra Amylin Nash (GAN) diet, which has macronutrient similarities to the Western diet and produces similar histologic and transcriptomic changes to human MASLD/MASH (<xref ref-type="bibr" rid="bib2">Boland et al., 2019</xref>; <xref ref-type="bibr" rid="bib16">Hansen et al., 2020</xref>; <xref ref-type="bibr" rid="bib39">Vacca et al., 2024</xref>).</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>C3AR1 is expressed in human and mouse liver, primarily in Kupffer cells</title><p>In the scRNA-Seq database, Human Protein Atlas, <italic>C3AR1</italic> is broadly expressed throughout the body, with increased abundance in tissues rich in immunologic cell types, such as bone marrow and appendix (<xref ref-type="fig" rid="fig1">Figure 1A</xref>; <xref ref-type="bibr" rid="bib38">Uhlén et al., 2015</xref>). In a single-cell transcriptomic database of healthy human liver, <italic>C3AR1</italic> expression predominates in the macrophage and Kupffer cell population, with minimal-to-undetectable <italic>C3AR1</italic> expression in hepatocytes or hepatic stellate cells by scRNA-Seq (<xref ref-type="fig" rid="fig1">Figure 1B</xref>; <xref ref-type="bibr" rid="bib26">MacParland et al., 2018</xref>). In the mouse liver scRNA-Seq database, Tabula Muris, <italic>C3ar1</italic> is similarly expressed primarily in Kupffer cells (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1A</xref>; <xref ref-type="bibr" rid="bib36">The Tabula Muris Consortium et al., 2018</xref>).</p><fig-group><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>C3AR1 is found in macrophages, is modulated by MASLD/MASH in humans, and is induced by a murine dietary model of MASH.</title><p>(<bold>A</bold>) Relative <italic>C3AR1</italic> human tissue expression level by tissue, derived from deep sequencing of the mRNA combined dataset (HPA and GTEx) in the Human Protein Atlas, shown as normalized transcripts per million (nTPM). Liver is highlighted in purple and immunologic tissues are highlighted in red. (<bold>B</bold>) Single-cell RNA sequencing distribution of <italic>C3AR1</italic> expression in human liver (tSNE, t-distributed Stochastic Neighbor Embedding). (<bold>C</bold>) Analysis of <italic>CFD</italic> and <italic>C3AR1</italic> expression from liver biopsy samples in patients with MASH, MASLD, obesity without MASLD, and age-matched healthy controls (n=12–16 per group, Welch <italic>t</italic> test with Holm-Šídák correction for multiple comparisons). (<bold>D</bold>) Weight curve in male and female <italic>C3ar1<sup>flox/flox</sup></italic> control mice placed on GAN high-fat diet compared to regular diet (RD) controls (males, n=7; females, n=6). (<bold>E</bold>) Representative liver section staining by Masson’s Trichrome in male control mice on RD or GAN diet for 28 weeks (scale bar = 100 mm). (<bold>F</bold>) Lipid droplet area quantification in liver sections from male control mice, excluding vessel lumens (RD, n=3; GAN, n=7). (<bold>G</bold>) Collagen area quantification in liver sections of male control mice (RD, n=3; GAN, n=7). (<bold>H</bold>) Gene expression of key macrophage or fibrosis genes in male control mice on GAN or RD (n=6 per group). Unpaired two-tailed Student’s <italic>t</italic> test (Except 1 C as above). Annotations: *, p&lt;0.05; **, p&lt;0.01; ***, &lt;0.001. Error bars represent standard error of the mean.</p><p><supplementary-material id="fig1sdata1"><label>Figure 1—source data 1.</label><caption><title>Source data for <xref ref-type="fig" rid="fig1">Figure 1A, C, D, F, G and H</xref>.</title><p>Source data for <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1B-D</xref>.</p></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-100708-fig1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig1-v1.tif"/></fig><fig id="fig1s1" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 1.</label><caption><title>C3ar1 is expressed in liver, primarily in Kupffer cells.</title><p>GAN diet induces fat accumulation without induction of C3ar1 in female mice. (<bold>A</bold>) Single cell RNA sequencing analysis of <italic>C3ar1</italic> expression in mouse liver tissue (derived from Tabula Muris). (<bold>B</bold>) Percent lean and fat mass of <italic>C3ar1<sup>flox/flox</sup></italic> control mice after 20 weeks of GAN or RD (n=6–7 per group). (<bold>C</bold>) Absolute lean and fat mass of control mice after 20 weeks of GAN or RD (n=6–7 per group). (<bold>D</bold>) Relative gene expression in female control mice after 30 weeks on RD (n=4–6 per group). Unpaired two-tailed Student’s <italic>t</italic> test: ***, p&lt;0.001. Error bars represent standard error of the mean.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig1-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s2-2"><title>Hepatic CFD and C3AR1 are downregulated in human MASLD/MASH</title><p>We also examined data from Suppli and coworkers, who performed bulk transcriptomic analysis of human liver samples from an age-matched cohort of healthy controls and obese controls without MASLD, as well as MASLD and MASH patients without cirrhosis (<xref ref-type="bibr" rid="bib35">Suppli et al., 2019</xref>). Both <italic>CFD and C3AR1</italic> were unchanged in obese subjects without MASLD compared to healthy controls, but both <italic>CFD</italic> and <italic>C3AR1</italic> were significantly downregulated in liver biopsies from both MASLD and MASH patients compared to both healthy controls and obese subjects without MASLD (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). Interestingly, both <italic>CFD</italic> and <italic>C3AR1</italic> levels were slightly higher in MASH individuals compared to those with MASLD only.</p></sec><sec id="s2-3"><title>Murine MASH model recapitulates key features of human MASH</title><p>At 5 weeks of age, we subjected <italic>C3ar1<sup>flox/flox</sup></italic> control mice to standard regular diet (RD) or GAN diet (<xref ref-type="bibr" rid="bib2">Boland et al., 2019</xref>; <xref ref-type="bibr" rid="bib16">Hansen et al., 2020</xref>). After 28 weeks of GAN diet, male mice gained body weight compared to RD (<xref ref-type="fig" rid="fig1">Figure 1D</xref>), primarily as fat mass (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1B–C</xref>), but weight gain in female GAN-fed mice was attenuated. Histologic signs of MASLD were present in GAN-fed mice (<xref ref-type="fig" rid="fig1">Figure 1E</xref>), most notably hepatic steatosis and hepatocyte ballooning (<xref ref-type="fig" rid="fig1">Figure 1F</xref>), and liver fibrosis measured by collagen deposition nearly doubled with GAN compared to RD (<xref ref-type="fig" rid="fig1">Figure 1G</xref>). Both hepatic <italic>C3ar1</italic> and <italic>Cfd</italic> gene expression were robustly increased on GAN compared to RD, as were markers of macrophage infiltration, hepatic inflammation, and fibrosis, including collagen gene expression, indicating progression to fibrotic MASH (<xref ref-type="fig" rid="fig1">Figure 1H</xref>). In female control mice on GAN diet, there were no significant differences in <italic>C3ar1</italic> expression or other gene markers, although there was a nonsignificant trend toward increased inflammation and fibrosis compared to regular diet (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1D</xref>).</p></sec><sec id="s2-4"><title>Macrophage-specific C3aR1 deletion does not alter glucose homeostasis</title><p>Owing to higher levels of <italic>C3ar1</italic> in murine MASLD and the differential regulation of <italic>C3AR1</italic> gene in MASLD humans, this motivated us to interrogate the role of pathophysiological role of <italic>C3ar1</italic> in macrophages in MASLD. We generated transgenic mice with macrophage-specific deletion of C3aR1 by crossing <italic>C3ar1<sup>flox/flox</sup></italic> mice with <italic>Lyz2<sup>Cre</sup></italic> transgenic mice (C3aR1-MφKO) to target both liver resident macrophages and recruited monocytes. <italic>C3ar1<sup>flox/flox</sup></italic> mice were used as controls. Successful deletion of <italic>C3ar1</italic> in macrophages from the C3aR1-MφKO mouse was confirmed by quantitative RT-PCR of isolated peritoneal macrophages that were F4/80+and CD68+by fluorescence-activated cell sorting (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). In liver tissue, <italic>C3ar1</italic> expression was reduced by ~88% in both male and female C3aR1-MφKO (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). These results indicate that macrophages account for the vast majority of <italic>C3ar1</italic> expression in the liver.</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>C3aR1 deletion in all macrophages does not affect weight gain, glucose homeostasis, liver steatosis or fibrosis.</title><p>(<bold>A</bold>) Expression of <italic>C3ar1</italic> in peritoneal F4/80+/CD68+ cells from <italic>C3ar1<sup>flox/flox</sup></italic> control (n=6) or C3aR1-MφKO male mice (n=3). (<bold>B</bold>) Expression of <italic>C3ar1</italic> in whole liver from control or C3aR1-MφKO mice (n=11–12 per male group, n=13–14 per female group). (<bold>C</bold>) Body mass curve of control or C3aR1-MφKO mice on GAN high-fat diet starting at 5 weeks of age (n=11–12 per male group, n=14 per female group). (<bold>D</bold>) Body composition analysis by EchoMRI in control or C3aR1-MφKO mice after 30 weeks GAN diet (n=6–9 per male group, n=9–13 per female group). (<bold>E</bold>) Glucose tolerance test in control or C3aR1-MφKO mice with 14 hr fast after 28 weeks GAN diet (n=6–9 per male group, n=9–14 per female group). (<bold>F</bold>) Liver mass in control or C3aR1-MφKO male mice at time of euthanasia after 30 weeks GAN diet (n=6–9 per male group, n=9–14 per female group). (<bold>H</bold>) Representative liver section staining by Masson’s Trichrome in male control or C3aR1-MφKO mice (scale bar = 100 mm). (<bold>I</bold>) Lipid droplet area in liver sections from male control or C3aR1-MφKO mice, excluding vessel lumens (n=6–7 per group). (<bold>J</bold>) Collagen area in liver sections from male control or C3aR1-MφKO mice (n=6–7 per group). (<bold>J,K</bold>) Relative mRNA expression of key markers for inflammation, fibrosis, and liver metabolism in liver from male control or C3aR1-MφKO mice after 30 weeks of either GAN (<bold>J</bold>) diet (n=11–12 per group) or regular (<bold>K</bold>) diet (n=3–5 per group). Unpaired two-tailed Student’s <italic>t</italic> test: Student’s <italic>t</italic> test: *, p&lt;0.05. Error bars represent standard error of the mean.</p><p><supplementary-material id="fig2sdata1"><label>Figure 2—source data 1.</label><caption><title>Source data for <xref ref-type="fig" rid="fig2">Figure 2A-F, H-K</xref>.</title><p>Source data for <xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1A-D</xref>.</p></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-100708-fig2-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig2-v1.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title>C3aR1 deletion in macrophages does not affect insulin-glucose axis, circulating marker of liver injury, or expression of key genes in female mice.</title><p>(<bold>A</bold>) Insulin tolerance test in <italic>C3ar1<sup>flox/flox</sup></italic> control or C3aR1-MφKO male mice with 14 hr fast after 29 weeks GAN diet (n=6–9 per group). (<bold>B</bold>) HOMA-IR measurement of insulin resistance in control or C3aR1-MφKO mice with 6 hr fast after 27 weeks GAN diet (n=6–9 per male group, n=9–13 per female group). (<bold>C</bold>) Serum alanine aminotransferase levels in control or C3aR1-MφKO male mice after 30 weeks GAN diet (n=4 per group). (<bold>D</bold>) Relative gene expression in control or C3aR1-MφKO female mice after 30 weeks of either GAN (n=13–14 per group) or RD (n=5–6 per group). Unpaired two-tailed Student’s <italic>t</italic> test: *, p&lt;0.05; ***, p&lt;0.001. Error bars represent standard error of the mean.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig2-figsupp1-v1.tif"/></fig></fig-group><p>When placed on GAN diet, there was no significant difference in weight gain between control and C3aR1-MφKO mice (<xref ref-type="fig" rid="fig2">Figure 2C</xref>). There was similarly no difference in percent lean or fat mass between these mice (<xref ref-type="fig" rid="fig2">Figure 2D</xref>). Glucose tolerance tests performed in fasted mice after 27 weeks GAN diet found no significant differences between control and C3aR1-MφKO mice (<xref ref-type="fig" rid="fig2">Figure 2E</xref>). There was also no difference in insulin sensitivity as measured by insulin tolerance tests in male mice (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1A</xref>). Insulin resistance as measured by comparing the ratio of fasting glucose level to fasting insulin level (HOMA-IR) was also unchanged between controls and C3aR1-MφKO mice (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1B</xref>). Circulating serum ALT levels were unchanged in male control and C3aR1-MφKO mice on GAN diet (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1C</xref>).</p></sec><sec id="s2-5"><title>Macrophage-specific C3aR1 deletion does not significantly impact hepatic steatosis or fibrosis</title><p>Liver samples collected after 28–30 weeks of GAN or regular diet did not show significant differences in liver mass between control and C3aR1-MφKO mice (<xref ref-type="fig" rid="fig2">Figure 2F</xref>). Male mice on GAN diet developed similar qualitative appearance on histology (<xref ref-type="fig" rid="fig2">Figure 2G</xref>), and slide image analysis showed similar proportions of lipid droplet area and collagen area (<xref ref-type="fig" rid="fig2">Figure 2H and I</xref>). This indicates that there were no significant differences in steatosis or fibrosis between GAN-fed control and C3aR1-MφKO male mice. While <italic>C3ar1</italic> expression was markedly reduced in the C3aR1-MφKO liver tissue (<xref ref-type="fig" rid="fig2">Figure 2B</xref>), there were no detectable gene expression changes in markers of fibrosis, inflammation, or lipid handling on either GAN or regular diet (<xref ref-type="fig" rid="fig2">Figure 2J and K</xref>). Similarly, in female mice there were also no significant differences between control and C3aR1-MφKO mouse liver on either GAN or regular diet in a subset of key gene markers of fibrosis or inflammation (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1D</xref>).</p></sec><sec id="s2-6"><title>Kupffer-cell-specific C3aR1 deletion does not alter weight gain or glucose homeostasis</title><p>To explore whether there may be competing effects between recruited monocytes and liver resident macrophages (Kupffer cells), we next generated Kupffer-cell-specific C3aR1 knockout mice (C3aR1-KpKO) by crossing <italic>C3ar1<sup>flox/flox</sup></italic> mice to Clec4f-Cre transgenic mice and fed them GAN diet. <italic>C3ar1<sup>flox/flox</sup></italic> mice were used as controls. Body weight gain was similar between genotypes for both male and female mice (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), and there was no difference in body composition between control and C3aR1-KpKO mice on GAN diet (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). There was similarly no significant difference in glucose homeostasis between the genotypes during a glucose tolerance test (<xref ref-type="fig" rid="fig3">Figure 3C</xref>).</p><fig-group><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>C3aR1 deletion in Kupffer cells does not affect weight gain, glucose homeostasis, liver steatosis or fibrosis.</title><p>(<bold>A</bold>) Body mass curve on GAN diet in <italic>C3ar1<sup>flox/flox</sup></italic> control or C3aR1-KpKO mice beginning at 5 weeks of age (n=8–10 per group). (<bold>B</bold>) Body composition analysis by EchoMRI in control or C3aR1-KpKO mice after 28 weeks GAN diet (n=8–10). (<bold>C</bold>) Glucose tolerance test in control or C3aR1-KpKO mice with 14 hr fast after 26 weeks GAN diet (n=8–10). (<bold>D</bold>) Liver mass in control or C3aR1-KpKO male mice at time of euthanasia after 30 weeks GAN diet (n=8–10). (<bold>E</bold>) Representative liver section staining by Masson’s Trichrome in control or C3aR1-KpKO male mice (scale bar = 100 mm). (<bold>F</bold>) Lipid droplet area quantified on liver sections of control or C3aR1-KpKO male mice, excluding vessel lumens (n=8–9). (<bold>G</bold>) Collagen area quantified on whole liver section of control or C3aR1-KpKO male mice (n=8–9). (<bold>H</bold>) Relative gene expression in male control or C3aR1-KpKO mice after 30 weeks GAN diet (n=5–6). Unpaired two-tailed Student’s <italic>t</italic> test: **, p&lt;0.01. Error bars represent standard error of the mean.</p><p><supplementary-material id="fig3sdata1"><label>Figure 3—source data 1.</label><caption><title>Source data for <xref ref-type="fig" rid="fig3">Figure 3A–D and F–H</xref>.</title><p>Source data for <xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1A</xref>.</p></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-100708-fig3-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig3-v1.tif"/></fig><fig id="fig3s1" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 1.</label><caption><title>C3ar1 expression in female mice with Kupffer cell-specific deletion of <italic>C3ar1.</italic></title><p>(<bold>A</bold>) Relative <italic>C3ar1</italic> expression in <italic>C3ar1<sup>flox/flox</sup></italic> control or C3aR1-KpKO female mice after 30 weeks RD (n=2–3 per group). Unpaired two-tailed Student’s <italic>t</italic> test: **, p&lt;0.01. Error bars represent standard error of the mean.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-100708-fig3-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s2-7"><title>Kupffer-cell-specific C3aR1 deletion does not significantly impact hepatic steatosis or fibrosis</title><p>Liver mass was not significantly different between control and C3aR1-KpKO mice on GAN diet (<xref ref-type="fig" rid="fig3">Figure 3D</xref>). Liver sections appeared qualitatively similar by histology stained with Masson’s trichrome (<xref ref-type="fig" rid="fig3">Figure 3E</xref>). There were similar levels of hepatic steatosis in these mice as measured by percent lipid droplet area (<xref ref-type="fig" rid="fig3">Figure 3F</xref>). When measured by collagen proportional area, there was no significant differences in liver fibrosis between C3aR1-KpKO and control mice (<xref ref-type="fig" rid="fig3">Figure 3G</xref>). While <italic>C3ar1</italic> expression was reduced by 73% in liver tissue of C3aR1-KpKO mice, there were no significant differences in expression of inflammatory, fibrotic, or lipid handling gene markers (<xref ref-type="fig" rid="fig3">Figure 3H</xref>). <italic>C3ar1</italic> expression similarly decreased by ~90% in liver tissue of female C3aR1-KpKO mice fed regular diet compared to control mice (<xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1A</xref>). These data also indicate that Kupffer cells account for ~80% of hepatic <italic>C3ar1</italic> gene expression in our mouse model of MASLD/MASH.</p></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>Overall, we found that macrophage or Kupffer cell expression of <italic>C3ar1</italic> does not impact body weight gain or histologic/transcriptomic features of MASLD/MASH in a murine dietary model. Deletion of C3aR1 in the macrophage population throughout the body, or specifically in Kupffer cells, did not affect weight gain, glucose homeostasis, or extent of hepatic steatosis/fibrosis. With long term GAN diet feeding that has been previously shown to model human MASLD/MASH, we did not observe significant differences in liver abnormalities with the KO mice.</p><p>Our findings in macrophage-specific C3aR1 KO mice contrast with prior observations in whole-body C3aR1 KO mice (<xref ref-type="bibr" rid="bib27">Mamane et al., 2009</xref>), which are protected from diet-induced obesity, have improved glucose tolerance, and exhibit decreased hepatic steatosis. In both our macrophage- and Kupffer-cell-specific C3aR1 KO mice, which had similar degrees of obesity compared to controls, there was no detectable effect on liver steatosis or fibrosis despite the near abrogation of <italic>C3ar1</italic> expression. This raises the possibility that the lower levels of hepatic steatosis and insulin resistance previously observed in the whole body C3aR1 KO mice may be secondary to protection from obesity. Protection from diet-induced obesity in whole-body C3aR1 KO mice may be mediated by a non-macrophage cell type, since our macrophage-specific C3aR1 KO mice were not afforded this protection. The <italic>C3ar1</italic>-expressing cell types that promote obesity and MASLD remains to be determined.</p><p>Our laboratory recently reported sex-dependent regulation of thermogenic adipose tissue mediated by adipocyte-derived C3aR1 (<xref ref-type="bibr" rid="bib25">Ma et al., 2024</xref>). However, no such sexual dimorphism was observed in hepatic expression of key MASH genes in response to GAN diet in our macrophage- or Kupffer-cell-specific C3aR1-deficient mice. Other work has suggested possible compensatory effects from its sister anaphylatoxin receptor C5aR1, with increased cold-induced adipocyte browning and attenuated diet-induced obesity seen in C3aR1/C5aR1 double KO mice (<xref ref-type="bibr" rid="bib20">Kong et al., 2023</xref>).</p><p>The strengths of our study include careful metabolic and transcriptomic phenotyping of cell-type-specific transgenic mice. Some limitations were our use of a single MASLD dietary model and our focus on the C3aR1 pathway. While the GAN diet recapitulates many features of human MASH due to its similarity to Western diet (<xref ref-type="bibr" rid="bib39">Vacca et al., 2024</xref>), relatively low levels of fibrosis were seen in our study, potentially related to initiating the diet at young age; more rapid fibrosis induction has been seen when GAN diet is initiated at older ages (<xref ref-type="bibr" rid="bib22">Li et al., 2023</xref>). It is possible that in other models of liver injury that we did not test (e.g. short-term treatment with a hepatotoxin such as carbon tetrachloride; <xref ref-type="bibr" rid="bib37">Tsuchida et al., 2018</xref>) there may be differences in liver injury in mice lacking <italic>C3ar1</italic> in macrophages. However, the GAN diet model has been shown to better parallel the gene expression changes in human MAFLD/MASH (<xref ref-type="bibr" rid="bib16">Hansen et al., 2020</xref>). Lastly, while <italic>C3AR1</italic>/<italic>C3ar1</italic> expression is very low in non-macrophage cells (<xref ref-type="fig" rid="fig1">Figure 1B</xref>), C3aR1 signaling on other hepatic cell types not explored in this study, such as hepatic stellate cells, could mediate the observed effect in the whole-body C3aR1 KO mouse.</p><p>Deletion of C3aR1 in macrophages generally, or in liver resident macrophages specifically, had no major effect on systemic glucose homeostasis and hepatic steatosis, inflammation, and fibrosis in this murine dietary model of MASLD/MASH. The complement system is a complex entity directing an important part of the body’s inflammatory and tissue repair response in MASLD. Further work is needed to elucidate the mechanisms of the role of C3aR1 in the pathogenesis of MASH and cirrhosis.</p></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><sec id="s4-1"><title>Animals</title><p><italic>C3ar1<sup>flox/flox</sup></italic> mice were on the C57BL/6 J background as described (<xref ref-type="bibr" rid="bib4">Cumpelik et al., 2021</xref>). Homozygous <italic>Lyz2<sup>Cre</sup></italic> mice on the C57BL/6 J background (Strain #004781) as well as homozygous Clec4f-Cre mice on the C57BL/6 J background (Strain #003296) were purchased from Jackson Laboratories. <italic>C3ar1<sup>flox/flox</sup></italic> homozygous mice on C57BL/6 J background were used in the experiments as controls from the same backcross generation (<xref ref-type="bibr" rid="bib25">Ma et al., 2024</xref>). All mice were maintained in plastic cages under a 12 hr/12 hr light/dark cycle at constant temperature (22 °C) with free access to water and food. Mice were fed regular diet containing 4.5%kcal fat PicoLab Rodent diet 20 (LabDiet) or GAN diet containing 40%kcal HFD (mostly palm oil) with 20% fructose and 2% cholesterol (D09100310, Research Diets) for 28–30 weeks. Fat mass and lean mass were determined via noninvasive 3-in-1 body composition analyzer (EchoMRI). Mice were humanely euthanized with CO<sub>2</sub> inhalation followed by exsanguination by cardiac puncture. For a typical experiment we expected ~10% loss of animals, a coefficient of variation (CV) of 10% and a treatment/genotype effect of 30–50%. To ensure an adequate statistical power of 0.9 with an alpha value of 0.05, we anticipated 6–12 mice per experimental group for physiology experiments. Key experiments were repeated in at least two independent mouse cohorts.</p></sec><sec id="s4-2"><title>Blood chemistry and serum insulin analysis</title><p>Mice were fasted overnight (14–16 hr) for glucose tolerance tests and injected intraperitoneally with syringe-filtered D-glucose solution (2 g/kg). For insulin tolerance test, mice were fasted for 6 hr and injected with 0.5 mIU/kg insulin. Blood glucose levels were assayed by commercial glucometer (OneTouch) by tail vein blood samples. Plasma insulin levels were measured from mice fasted for 6 hr. Tail vein blood was collected into lithium heparin-coated tubes, centrifuged at 2000 x <italic>g</italic> at 4 °C, and plasma insulin levels were determined by ELISA using a standard curve (Mercodia). Serum alanine aminotransferase levels were measured in serum from blood collected via cardiac puncture using a commercially available colorimetric assay (TR71121, Thermo Fisher Scientific).</p></sec><sec id="s4-3"><title>Peritoneal macrophage isolation and flow cytometry</title><p>Peritoneal macrophages were isolated from as previously described (<xref ref-type="bibr" rid="bib43">Zhang et al., 2008</xref>). Briefly, mice were euthanized then immediately injected intraperitoneally with 10mL phosphate-buffered saline (PBS, pH 7.4) at room temperature. After a 3–5min incubation period, peritoneal fluid was removed with sterile needle and syringe and placed on ice. After centrifugation at 300 x <italic>g</italic>, the pellet was resuspended in PBS containing 2% fetal bovine serum and 0.1% sodium azide. Cells were stained with phycoerythrin-conjugated anti-F4/80 (clone BM8, cat. #123110) and fluorescein isothiocyanate-conjugated anti-CD11b (clone M1/70, cat. #101206) fluorescent antibodies (Biolegend). Stained cells were loaded on MA900 fluorescence-activated cell sorter (Sony), and dual-positive F480+/CD11b+ cells were sorted for subsequent RNA extraction.</p></sec><sec id="s4-4"><title>Histological studies</title><p>A mid-distal portion of the left liver lobe was fixed with 10% buffered formalin and transferred to 70% ethanol. Samples were embedded in paraffin, sectioned at ~5 μm thickness, and stained with Masson’s trichrome. Slides were imaged using Zeiss Axioscan7 at ×20 magnification. Histologic analyses were performed using ImageJ software (version 1.53t). Lipid droplet area was quantified by subtracting non-droplet area in the green channel from total section area of two to three independent sections. Collagen proportionate area was quantified by measuring total area in the red channel after reducing intensity threshold to 60–70.</p></sec><sec id="s4-5"><title>RNA extraction and real-time quantitative PCR analysis</title><p>Total RNA from liver tissue lysates was extracted using Trizol reagent (Invitrogen) followed by RNAeasy Mini kit (QIAGEN) as per manufacturer’s protocol. RNA was reverse-transcribed using the High Capacity cDNA RT kit (Thermo Fisher). Quantitative PCR was performed using SYBR Green Master Mix (Quanta) and specific gene primers on QuantStudio6 Flex Real-Time PCR Systems (Thermo Fisher Scientific) using the delta-delta Ct method. Expression levels were normalized to Ribosomal protein S18 (<italic>Rps18</italic>). Primer sequences are listed in <xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>.</p></sec><sec id="s4-6"><title>Statistical analyses</title><p>All statistical analyses were performed with biological replicates using GraphPad Prism10. Unpaired two-tailed Student’s <italic>t</italic> test with Welch correction for most analyses, with Holm-Šídák correction for multiple comparisons where applicable, and p&lt;0.05 was considered statistically significant.</p></sec></sec></body><back><sec sec-type="additional-information" id="s5"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="COI-statement" id="conf1"><p>No competing interests declared</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Formal analysis, Funding acquisition, Investigation, Writing – original draft, Project administration, Writing – review and editing</p></fn><fn fn-type="con" id="con2"><p>Formal analysis, Investigation, Writing – review and editing</p></fn><fn fn-type="con" id="con3"><p>Investigation, Writing – review and editing</p></fn><fn fn-type="con" id="con4"><p>Investigation</p></fn><fn fn-type="con" id="con5"><p>Investigation</p></fn><fn fn-type="con" id="con6"><p>Investigation</p></fn><fn fn-type="con" id="con7"><p>Investigation</p></fn><fn fn-type="con" id="con8"><p>Investigation, Writing – review and editing</p></fn><fn fn-type="con" id="con9"><p>Conceptualization, Supervision, Funding acquisition, Writing – original draft, Writing – review and editing</p></fn></fn-group><fn-group content-type="ethics-information"><title>Ethics</title><fn fn-type="other"><p>This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocols of the Weill Cornell Medical College. The protocol was approved by the Committee on the Ethics of Animal Experiments of the Weill Cornell Medical College (protocol#: 2015-0020).</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="supp1"><label>Supplementary file 1.</label><caption><title>Table containing forward and reverse primer sequences for the gene targets used in quantitative PCR experiments performed in this study.</title></caption><media xlink:href="elife-100708-supp1-v1.xlsx" mimetype="application" mime-subtype="xlsx"/></supplementary-material><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-100708-mdarchecklist1-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>All data generated or analyzed during this study are included in the manuscript and supporting files; source data files, where applicable, have been provided for Figures 1, 2, and 3, as well as associated figure supplements. Figure 1A was analyzed from the previously published dataset by <xref ref-type="bibr" rid="bib38">Uhlén et al., 2015</xref>. Figure 1B was analyzed from the previously published dataset by <xref ref-type="bibr" rid="bib26">MacParland et al., 2018</xref>. Figure 1C was analyzed from previously published dataset <xref ref-type="bibr" rid="bib35">Suppli et al., 2019</xref>. Figure 1 - figure supplement 1A was analyzed from previously published dataset <xref ref-type="bibr" rid="bib36">The Tabula Muris Consortium et al., 2018</xref>.</p><p>The following previously published datasets were used:</p><p><element-citation publication-type="data" specific-use="references" id="dataset1"><person-group person-group-type="author"><name><surname>Suppli</surname><given-names>MP</given-names></name><name><surname>Rigbolt</surname><given-names>KTG</given-names></name><name><surname>Veidal</surname><given-names>SS</given-names></name><name><surname>Heebøll</surname><given-names>S</given-names></name><name><surname>Eriksen</surname><given-names>PL</given-names></name><name><surname>Demant</surname><given-names>M</given-names></name><name><surname>Bagger</surname><given-names>JI</given-names></name><name><surname>Nielsen</surname><given-names>JC</given-names></name><name><surname>Oró</surname><given-names>D</given-names></name><name><surname>Thrane</surname><given-names>SW</given-names></name><name><surname>Lund</surname><given-names>A</given-names></name><name><surname>Strandberg</surname><given-names>C</given-names></name><name><surname>Kønig</surname><given-names>MJ</given-names></name><name><surname>Vilsbøll</surname><given-names>T</given-names></name><name><surname>Vrang</surname><given-names>N</given-names></name><name><surname>Thomsen</surname><given-names>KL</given-names></name><name><surname>Grønbæk</surname><given-names>H</given-names></name><name><surname>Jelsing</surname><given-names>J</given-names></name><name><surname>Hansen</surname><given-names>HH</given-names></name><name><surname>Knop</surname><given-names>FK</given-names></name></person-group><year iso-8601-date="2019">2019</year><data-title>Hepatic transcriptome signatures in patients with varying degrees of nonalcoholic fatty liver disease compared with healthy normal-weight individuals</data-title><source>NCBI Gene Expression Omnibus</source><pub-id pub-id-type="accession" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE126848">GSE126848</pub-id></element-citation></p><p><element-citation publication-type="data" specific-use="references" id="dataset2"><person-group person-group-type="author"><name><surname>The Tabula Muris Consortium</surname></name></person-group><year iso-8601-date="2018">2018</year><data-title>Tabula Muris: Transcriptomic characterization of 20 organs and tissues from Mus musculus at single cell resolution</data-title><source>NCBI Gene Expression Omnibus</source><pub-id pub-id-type="accession" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE109774">GSE109774</pub-id></element-citation></p></sec><ack id="ack"><title>Acknowledgements</title><p>We would like to thank Dr. Baran Ersoy, Dr. Robert Schwartz, and Dr. Saloni Sinha for their technical advice and assistance. EAH was supported by NIH T32 5T32HL160520-02. AG was supported by ADA 9–22-PDFPM-01. RPL was supported by AHA 23DIVSUP1074485. LS was supported by AHA 908952 and an Ehrenkranz Young Scientist Award. JCL was supported by NIH R01 DK121140, R01 DK121844, and R01 DK132879. The views expressed in this manuscript are those of the authors and do not necessarily represent the official views of the American Diabetes Association, the American Heart Association, the National Institute of Diabetes and Digestive and Kidney Diseases, or the National Institutes of Health.</p></ack><ref-list><title>References</title><ref id="bib1"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barreby</surname><given-names>E</given-names></name><name><surname>Chen</surname><given-names>P</given-names></name><name><surname>Aouadi</surname><given-names>M</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Macrophage functional diversity in NAFLD - more than inflammation</article-title><source>Nature Reviews. Endocrinology</source><volume>18</volume><fpage>461</fpage><lpage>472</lpage><pub-id pub-id-type="doi">10.1038/s41574-022-00675-6</pub-id><pub-id pub-id-type="pmid">35534573</pub-id></element-citation></ref><ref id="bib2"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Boland</surname><given-names>ML</given-names></name><name><surname>Oró</surname><given-names>D</given-names></name><name><surname>Tølbøl</surname><given-names>KS</given-names></name><name><surname>Thrane</surname><given-names>ST</given-names></name><name><surname>Nielsen</surname><given-names>JC</given-names></name><name><surname>Cohen</surname><given-names>TS</given-names></name><name><surname>Tabor</surname><given-names>DE</given-names></name><name><surname>Fernandes</surname><given-names>F</given-names></name><name><surname>Tovchigrechko</surname><given-names>A</given-names></name><name><surname>Veidal</surname><given-names>SS</given-names></name><name><surname>Warrener</surname><given-names>P</given-names></name><name><surname>Sellman</surname><given-names>BR</given-names></name><name><surname>Jelsing</surname><given-names>J</given-names></name><name><surname>Feigh</surname><given-names>M</given-names></name><name><surname>Vrang</surname><given-names>N</given-names></name><name><surname>Trevaskis</surname><given-names>JL</given-names></name><name><surname>Hansen</surname><given-names>HH</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Towards a standard diet-induced and biopsy-confirmed mouse model of non-alcoholic steatohepatitis: Impact of dietary fat source</article-title><source>World Journal of Gastroenterology</source><volume>25</volume><fpage>4904</fpage><lpage>4920</lpage><pub-id pub-id-type="doi">10.3748/wjg.v25.i33.4904</pub-id><pub-id pub-id-type="pmid">31543682</pub-id></element-citation></ref><ref id="bib3"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cai</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>XJ</given-names></name><name><surname>Li</surname><given-names>H</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>The role of innate immune cells in nonalcoholic steatohepatitis</article-title><source>Hepatology</source><volume>70</volume><fpage>1026</fpage><lpage>1037</lpage><pub-id pub-id-type="doi">10.1002/hep.30506</pub-id><pub-id pub-id-type="pmid">30653691</pub-id></element-citation></ref><ref id="bib4"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cumpelik</surname><given-names>A</given-names></name><name><surname>Heja</surname><given-names>D</given-names></name><name><surname>Hu</surname><given-names>Y</given-names></name><name><surname>Varano</surname><given-names>G</given-names></name><name><surname>Ordikhani</surname><given-names>F</given-names></name><name><surname>Roberto</surname><given-names>MP</given-names></name><name><surname>He</surname><given-names>Z</given-names></name><name><surname>Homann</surname><given-names>D</given-names></name><name><surname>Lira</surname><given-names>SA</given-names></name><name><surname>Dominguez-Sola</surname><given-names>D</given-names></name><name><surname>Heeger</surname><given-names>PS</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Dynamic regulation of B cell complement signaling is integral to germinal center responses</article-title><source>Nature Immunology</source><volume>22</volume><fpage>757</fpage><lpage>768</lpage><pub-id pub-id-type="doi">10.1038/s41590-021-00926-0</pub-id><pub-id pub-id-type="pmid">34031614</pub-id></element-citation></ref><ref id="bib5"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Duell</surname><given-names>PB</given-names></name><name><surname>Welty</surname><given-names>FK</given-names></name><name><surname>Miller</surname><given-names>M</given-names></name><name><surname>Chait</surname><given-names>A</given-names></name><name><surname>Hammond</surname><given-names>G</given-names></name><name><surname>Ahmad</surname><given-names>Z</given-names></name><name><surname>Cohen</surname><given-names>DE</given-names></name><name><surname>Horton</surname><given-names>JD</given-names></name><name><surname>Pressman</surname><given-names>GS</given-names></name><name><surname>Toth</surname><given-names>PP</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Nonalcoholic fatty liver disease and cardiovascular risk: a scientific statement from the american heart association</article-title><source>Arteriosclerosis, Thrombosis, and Vascular Biology</source><volume>42</volume><fpage>e168</fpage><lpage>e185</lpage><pub-id pub-id-type="doi">10.1161/ATV.0000000000000153</pub-id><pub-id pub-id-type="pmid">35418240</pub-id></element-citation></ref><ref id="bib6"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ferguson</surname><given-names>D</given-names></name><name><surname>Finck</surname><given-names>BN</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Emerging therapeutic approaches for the treatment of NAFLD and type 2 diabetes mellitus</article-title><source>Nature Reviews. Endocrinology</source><volume>17</volume><fpage>484</fpage><lpage>495</lpage><pub-id pub-id-type="doi">10.1038/s41574-021-00507-z</pub-id><pub-id pub-id-type="pmid">34131333</pub-id></element-citation></ref><ref id="bib7"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Flier</surname><given-names>JS</given-names></name><name><surname>Cook</surname><given-names>KS</given-names></name><name><surname>Usher</surname><given-names>P</given-names></name><name><surname>Spiegelman</surname><given-names>BM</given-names></name></person-group><year iso-8601-date="1987">1987</year><article-title>Severely impaired adipsin expression in genetic and acquired obesity</article-title><source>Science</source><volume>237</volume><fpage>405</fpage><lpage>408</lpage><pub-id pub-id-type="doi">10.1126/science.3299706</pub-id><pub-id pub-id-type="pmid">3299706</pub-id></element-citation></ref><ref id="bib8"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Friedman</surname><given-names>SL</given-names></name><name><surname>Neuschwander-Tetri</surname><given-names>BA</given-names></name><name><surname>Rinella</surname><given-names>M</given-names></name><name><surname>Sanyal</surname><given-names>AJ</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>Mechanisms of NAFLD development and therapeutic strategies</article-title><source>Nature Medicine</source><volume>24</volume><fpage>908</fpage><lpage>922</lpage><pub-id pub-id-type="doi">10.1038/s41591-018-0104-9</pub-id><pub-id pub-id-type="pmid">29967350</pub-id></element-citation></ref><ref id="bib9"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ge</surname><given-names>X</given-names></name><name><surname>Zheng</surname><given-names>L</given-names></name><name><surname>Wang</surname><given-names>M</given-names></name><name><surname>Du</surname><given-names>Y</given-names></name><name><surname>Jiang</surname><given-names>J</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Prevalence trends in non-alcoholic fatty liver disease at the global, regional and national levels, 1990-2017: a population-based observational study</article-title><source>BMJ Open</source><volume>10</volume><elocation-id>e036663</elocation-id><pub-id pub-id-type="doi">10.1136/bmjopen-2019-036663</pub-id><pub-id pub-id-type="pmid">32747349</pub-id></element-citation></ref><ref id="bib10"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gómez-Banoy</surname><given-names>N</given-names></name><name><surname>Guseh</surname><given-names>JS</given-names></name><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Rubio-Navarro</surname><given-names>A</given-names></name><name><surname>Chen</surname><given-names>T</given-names></name><name><surname>Poirier</surname><given-names>B</given-names></name><name><surname>Putzel</surname><given-names>G</given-names></name><name><surname>Rosselot</surname><given-names>C</given-names></name><name><surname>Pabón</surname><given-names>MA</given-names></name><name><surname>Camporez</surname><given-names>JP</given-names></name><name><surname>Bhambhani</surname><given-names>V</given-names></name><name><surname>Hwang</surname><given-names>SJ</given-names></name><name><surname>Yao</surname><given-names>C</given-names></name><name><surname>Perry</surname><given-names>RJ</given-names></name><name><surname>Mukherjee</surname><given-names>S</given-names></name><name><surname>Larson</surname><given-names>MG</given-names></name><name><surname>Levy</surname><given-names>D</given-names></name><name><surname>Dow</surname><given-names>LE</given-names></name><name><surname>Shulman</surname><given-names>GI</given-names></name><name><surname>Dephoure</surname><given-names>N</given-names></name><name><surname>Garcia-Ocana</surname><given-names>A</given-names></name><name><surname>Hao</surname><given-names>M</given-names></name><name><surname>Spiegelman</surname><given-names>BM</given-names></name><name><surname>Ho</surname><given-names>JE</given-names></name><name><surname>Lo</surname><given-names>JC</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Adipsin preserves beta cells in diabetic mice and associates with protection from type 2 diabetes in humans</article-title><source>Nature Medicine</source><volume>25</volume><fpage>1739</fpage><lpage>1747</lpage><pub-id pub-id-type="doi">10.1038/s41591-019-0610-4</pub-id><pub-id pub-id-type="pmid">31700183</pub-id></element-citation></ref><ref id="bib11"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Govaere</surname><given-names>O</given-names></name><name><surname>Cockell</surname><given-names>S</given-names></name><name><surname>Tiniakos</surname><given-names>D</given-names></name><name><surname>Queen</surname><given-names>R</given-names></name><name><surname>Younes</surname><given-names>R</given-names></name><name><surname>Vacca</surname><given-names>M</given-names></name><name><surname>Alexander</surname><given-names>L</given-names></name><name><surname>Ravaioli</surname><given-names>F</given-names></name><name><surname>Palmer</surname><given-names>J</given-names></name><name><surname>Petta</surname><given-names>S</given-names></name><name><surname>Boursier</surname><given-names>J</given-names></name><name><surname>Rosso</surname><given-names>C</given-names></name><name><surname>Johnson</surname><given-names>K</given-names></name><name><surname>Wonders</surname><given-names>K</given-names></name><name><surname>Day</surname><given-names>CP</given-names></name><name><surname>Ekstedt</surname><given-names>M</given-names></name><name><surname>Orešič</surname><given-names>M</given-names></name><name><surname>Darlay</surname><given-names>R</given-names></name><name><surname>Cordell</surname><given-names>HJ</given-names></name><name><surname>Marra</surname><given-names>F</given-names></name><name><surname>Vidal-Puig</surname><given-names>A</given-names></name><name><surname>Bedossa</surname><given-names>P</given-names></name><name><surname>Schattenberg</surname><given-names>JM</given-names></name><name><surname>Clément</surname><given-names>K</given-names></name><name><surname>Allison</surname><given-names>M</given-names></name><name><surname>Bugianesi</surname><given-names>E</given-names></name><name><surname>Ratziu</surname><given-names>V</given-names></name><name><surname>Daly</surname><given-names>AK</given-names></name><name><surname>Anstee</surname><given-names>QM</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Transcriptomic profiling across the nonalcoholic fatty liver disease spectrum reveals gene signatures for steatohepatitis and fibrosis</article-title><source>Science Translational Medicine</source><volume>12</volume><elocation-id>eaba4448</elocation-id><pub-id pub-id-type="doi">10.1126/scitranslmed.aba4448</pub-id><pub-id pub-id-type="pmid">33268509</pub-id></element-citation></ref><ref id="bib12"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guilliams</surname><given-names>M</given-names></name><name><surname>Bonnardel</surname><given-names>J</given-names></name><name><surname>Haest</surname><given-names>B</given-names></name><name><surname>Vanderborght</surname><given-names>B</given-names></name><name><surname>Wagner</surname><given-names>C</given-names></name><name><surname>Remmerie</surname><given-names>A</given-names></name><name><surname>Bujko</surname><given-names>A</given-names></name><name><surname>Martens</surname><given-names>L</given-names></name><name><surname>Thoné</surname><given-names>T</given-names></name><name><surname>Browaeys</surname><given-names>R</given-names></name><name><surname>De Ponti</surname><given-names>FF</given-names></name><name><surname>Vanneste</surname><given-names>B</given-names></name><name><surname>Zwicker</surname><given-names>C</given-names></name><name><surname>Svedberg</surname><given-names>FR</given-names></name><name><surname>Vanhalewyn</surname><given-names>T</given-names></name><name><surname>Gonçalves</surname><given-names>A</given-names></name><name><surname>Lippens</surname><given-names>S</given-names></name><name><surname>Devriendt</surname><given-names>B</given-names></name><name><surname>Cox</surname><given-names>E</given-names></name><name><surname>Ferrero</surname><given-names>G</given-names></name><name><surname>Wittamer</surname><given-names>V</given-names></name><name><surname>Willaert</surname><given-names>A</given-names></name><name><surname>Kaptein</surname><given-names>SJF</given-names></name><name><surname>Neyts</surname><given-names>J</given-names></name><name><surname>Dallmeier</surname><given-names>K</given-names></name><name><surname>Geldhof</surname><given-names>P</given-names></name><name><surname>Casaert</surname><given-names>S</given-names></name><name><surname>Deplancke</surname><given-names>B</given-names></name><name><surname>Ten Dijke</surname><given-names>P</given-names></name><name><surname>Hoorens</surname><given-names>A</given-names></name><name><surname>Vanlander</surname><given-names>A</given-names></name><name><surname>Berrevoet</surname><given-names>F</given-names></name><name><surname>Van Nieuwenhove</surname><given-names>Y</given-names></name><name><surname>Saeys</surname><given-names>Y</given-names></name><name><surname>Saelens</surname><given-names>W</given-names></name><name><surname>Van Vlierberghe</surname><given-names>H</given-names></name><name><surname>Devisscher</surname><given-names>L</given-names></name><name><surname>Scott</surname><given-names>CL</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches</article-title><source>Cell</source><volume>185</volume><fpage>379</fpage><lpage>396</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2021.12.018</pub-id><pub-id pub-id-type="pmid">35021063</pub-id></element-citation></ref><ref id="bib13"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guilliams</surname><given-names>M</given-names></name><name><surname>Scott</surname><given-names>CL</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Liver macrophages in health and disease</article-title><source>Immunity</source><volume>55</volume><fpage>1515</fpage><lpage>1529</lpage><pub-id pub-id-type="doi">10.1016/j.immuni.2022.08.002</pub-id><pub-id pub-id-type="pmid">36103850</pub-id></element-citation></ref><ref id="bib14"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Han</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Lau</surname><given-names>JKC</given-names></name><name><surname>Fu</surname><given-names>K</given-names></name><name><surname>Lau</surname><given-names>HC</given-names></name><name><surname>Xu</surname><given-names>W</given-names></name><name><surname>Chu</surname><given-names>ES</given-names></name><name><surname>Lan</surname><given-names>H</given-names></name><name><surname>Yu</surname><given-names>J</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Bone marrow-derived macrophage contributes to fibrosing steatohepatitis through activating hepatic stellate cells</article-title><source>The Journal of Pathology</source><volume>248</volume><fpage>488</fpage><lpage>500</lpage><pub-id pub-id-type="doi">10.1002/path.5275</pub-id><pub-id pub-id-type="pmid">30945293</pub-id></element-citation></ref><ref id="bib15"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Han</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Complement component c3: a novel biomarker participating in the pathogenesis of non-alcoholic fatty liver disease</article-title><source>Frontiers in Medicine</source><volume>8</volume><elocation-id>653293</elocation-id><pub-id pub-id-type="doi">10.3389/fmed.2021.653293</pub-id></element-citation></ref><ref id="bib16"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hansen</surname><given-names>HH</given-names></name><name><surname>Ægidius</surname><given-names>HM</given-names></name><name><surname>Oró</surname><given-names>D</given-names></name><name><surname>Evers</surname><given-names>SS</given-names></name><name><surname>Heebøll</surname><given-names>S</given-names></name><name><surname>Eriksen</surname><given-names>PL</given-names></name><name><surname>Thomsen</surname><given-names>KL</given-names></name><name><surname>Bengtsson</surname><given-names>A</given-names></name><name><surname>Veidal</surname><given-names>SS</given-names></name><name><surname>Feigh</surname><given-names>M</given-names></name><name><surname>Suppli</surname><given-names>MP</given-names></name><name><surname>Knop</surname><given-names>FK</given-names></name><name><surname>Grønbæk</surname><given-names>H</given-names></name><name><surname>Miranda</surname><given-names>D</given-names></name><name><surname>Trevaskis</surname><given-names>JL</given-names></name><name><surname>Vrang</surname><given-names>N</given-names></name><name><surname>Jelsing</surname><given-names>J</given-names></name><name><surname>Rigbolt</surname><given-names>KTG</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Human translatability of the GAN diet-induced obese mouse model of non-alcoholic steatohepatitis</article-title><source>BMC Gastroenterology</source><volume>20</volume><elocation-id>210</elocation-id><pub-id pub-id-type="doi">10.1186/s12876-020-01356-2</pub-id><pub-id pub-id-type="pmid">32631250</pub-id></element-citation></ref><ref id="bib17"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kasper</surname><given-names>P</given-names></name><name><surname>Martin</surname><given-names>A</given-names></name><name><surname>Lang</surname><given-names>S</given-names></name><name><surname>Kütting</surname><given-names>F</given-names></name><name><surname>Goeser</surname><given-names>T</given-names></name><name><surname>Demir</surname><given-names>M</given-names></name><name><surname>Steffen</surname><given-names>HM</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>NAFLD and cardiovascular diseases: a clinical review</article-title><source>Clinical Research in Cardiology</source><volume>110</volume><fpage>921</fpage><lpage>937</lpage><pub-id pub-id-type="doi">10.1007/s00392-020-01709-7</pub-id><pub-id pub-id-type="pmid">32696080</pub-id></element-citation></ref><ref id="bib18"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>H</given-names></name><name><surname>Lee</surname><given-names>DS</given-names></name><name><surname>An</surname><given-names>TH</given-names></name><name><surname>Park</surname><given-names>HJ</given-names></name><name><surname>Kim</surname><given-names>WK</given-names></name><name><surname>Bae</surname><given-names>KH</given-names></name><name><surname>Oh</surname><given-names>KJ</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Metabolic spectrum of liver failure in type 2 diabetes and obesity: from NAFLD to NASH to HCC</article-title><source>International Journal of Molecular Sciences</source><volume>22</volume><elocation-id>4495</elocation-id><pub-id pub-id-type="doi">10.3390/ijms22094495</pub-id></element-citation></ref><ref id="bib19"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kolev</surname><given-names>M</given-names></name><name><surname>Kemper</surname><given-names>C</given-names></name></person-group><year iso-8601-date="2017">2017</year><article-title>Keeping it all going-complement meets metabolism</article-title><source>Frontiers in Immunology</source><volume>8</volume><elocation-id>1</elocation-id><pub-id pub-id-type="doi">10.3389/fimmu.2017.00001</pub-id><pub-id pub-id-type="pmid">28149297</pub-id></element-citation></ref><ref id="bib20"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kong</surname><given-names>LR</given-names></name><name><surname>Chen</surname><given-names>XH</given-names></name><name><surname>Sun</surname><given-names>Q</given-names></name><name><surname>Zhang</surname><given-names>KY</given-names></name><name><surname>Xu</surname><given-names>L</given-names></name><name><surname>Ding</surname><given-names>L</given-names></name><name><surname>Zhou</surname><given-names>YP</given-names></name><name><surname>Zhang</surname><given-names>ZB</given-names></name><name><surname>Lin</surname><given-names>JR</given-names></name><name><surname>Gao</surname><given-names>PJ</given-names></name></person-group><year iso-8601-date="2023">2023</year><article-title>Loss of C3a and C5a receptors promotes adipocyte browning and attenuates diet-induced obesity via activating inosine/A2aR pathway</article-title><source>Cell Reports</source><volume>42</volume><elocation-id>112078</elocation-id><pub-id pub-id-type="doi">10.1016/j.celrep.2023.112078</pub-id><pub-id pub-id-type="pmid">36735535</pub-id></element-citation></ref><ref id="bib21"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Krenkel</surname><given-names>O</given-names></name><name><surname>Hundertmark</surname><given-names>J</given-names></name><name><surname>Abdallah</surname><given-names>AT</given-names></name><name><surname>Kohlhepp</surname><given-names>M</given-names></name><name><surname>Puengel</surname><given-names>T</given-names></name><name><surname>Roth</surname><given-names>T</given-names></name><name><surname>Branco</surname><given-names>DPP</given-names></name><name><surname>Mossanen</surname><given-names>JC</given-names></name><name><surname>Luedde</surname><given-names>T</given-names></name><name><surname>Trautwein</surname><given-names>C</given-names></name><name><surname>Costa</surname><given-names>IG</given-names></name><name><surname>Tacke</surname><given-names>F</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Myeloid cells in liver and bone marrow acquire a functionally distinct inflammatory phenotype during obesity-related steatohepatitis</article-title><source>Gut</source><volume>69</volume><fpage>551</fpage><lpage>563</lpage><pub-id pub-id-type="doi">10.1136/gutjnl-2019-318382</pub-id><pub-id pub-id-type="pmid">31076404</pub-id></element-citation></ref><ref id="bib22"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>X</given-names></name><name><surname>Lu</surname><given-names>Y</given-names></name><name><surname>Liang</surname><given-names>X</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Li</surname><given-names>D</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name><name><surname>Niu</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>S</given-names></name><name><surname>Ye</surname><given-names>L</given-names></name><name><surname>Zhang</surname><given-names>R</given-names></name></person-group><year iso-8601-date="2023">2023</year><article-title>A new NASH model in aged mice with rapid progression of steatohepatitis and fibrosis</article-title><source>PLOS ONE</source><volume>18</volume><elocation-id>e0286257</elocation-id><pub-id pub-id-type="doi">10.1371/journal.pone.0286257</pub-id></element-citation></ref><ref id="bib23"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lim</surname><given-names>J</given-names></name><name><surname>Iyer</surname><given-names>A</given-names></name><name><surname>Suen</surname><given-names>JY</given-names></name><name><surname>Seow</surname><given-names>V</given-names></name><name><surname>Reid</surname><given-names>RC</given-names></name><name><surname>Brown</surname><given-names>L</given-names></name><name><surname>Fairlie</surname><given-names>DP</given-names></name></person-group><year iso-8601-date="2013">2013</year><article-title>C5aR and C3aR antagonists each inhibit diet‐induced obesity, metabolic dysfunction, and adipocyte and macrophage signaling</article-title><source>The FASEB Journal</source><volume>27</volume><fpage>822</fpage><lpage>831</lpage><pub-id pub-id-type="doi">10.1096/fj.12-220582</pub-id></element-citation></ref><ref id="bib24"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lo</surname><given-names>JC</given-names></name><name><surname>Ljubicic</surname><given-names>S</given-names></name><name><surname>Leibiger</surname><given-names>B</given-names></name><name><surname>Kern</surname><given-names>M</given-names></name><name><surname>Leibiger</surname><given-names>IB</given-names></name><name><surname>Moede</surname><given-names>T</given-names></name><name><surname>Kelly</surname><given-names>ME</given-names></name><name><surname>Chatterjee Bhowmick</surname><given-names>D</given-names></name><name><surname>Murano</surname><given-names>I</given-names></name><name><surname>Cohen</surname><given-names>P</given-names></name><name><surname>Banks</surname><given-names>AS</given-names></name><name><surname>Khandekar</surname><given-names>MJ</given-names></name><name><surname>Dietrich</surname><given-names>A</given-names></name><name><surname>Flier</surname><given-names>JS</given-names></name><name><surname>Cinti</surname><given-names>S</given-names></name><name><surname>Blüher</surname><given-names>M</given-names></name><name><surname>Danial</surname><given-names>NN</given-names></name><name><surname>Berggren</surname><given-names>PO</given-names></name><name><surname>Spiegelman</surname><given-names>BM</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>Adipsin is an adipokine that improves β cell function in diabetes</article-title><source>Cell</source><volume>158</volume><fpage>41</fpage><lpage>53</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2014.06.005</pub-id><pub-id pub-id-type="pmid">24995977</pub-id></element-citation></ref><ref id="bib25"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname><given-names>L</given-names></name><name><surname>Gilani</surname><given-names>A</given-names></name><name><surname>Rubio-Navarro</surname><given-names>A</given-names></name><name><surname>Cortada</surname><given-names>E</given-names></name><name><surname>Li</surname><given-names>A</given-names></name><name><surname>Reilly</surname><given-names>SM</given-names></name><name><surname>Tang</surname><given-names>L</given-names></name><name><surname>Lo</surname><given-names>JC</given-names></name></person-group><year iso-8601-date="2024">2024</year><article-title>Adipsin and adipocyte-derived C3aR1 regulate thermogenic fat in a sex-dependent fashion</article-title><source>JCI Insight</source><volume>9</volume><elocation-id>e178925</elocation-id><pub-id pub-id-type="doi">10.1172/jci.insight.178925</pub-id><pub-id pub-id-type="pmid">38713526</pub-id></element-citation></ref><ref id="bib26"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>MacParland</surname><given-names>SA</given-names></name><name><surname>Liu</surname><given-names>JC</given-names></name><name><surname>Ma</surname><given-names>X-Z</given-names></name><name><surname>Innes</surname><given-names>BT</given-names></name><name><surname>Bartczak</surname><given-names>AM</given-names></name><name><surname>Gage</surname><given-names>BK</given-names></name><name><surname>Manuel</surname><given-names>J</given-names></name><name><surname>Khuu</surname><given-names>N</given-names></name><name><surname>Echeverri</surname><given-names>J</given-names></name><name><surname>Linares</surname><given-names>I</given-names></name><name><surname>Gupta</surname><given-names>R</given-names></name><name><surname>Cheng</surname><given-names>ML</given-names></name><name><surname>Liu</surname><given-names>LY</given-names></name><name><surname>Camat</surname><given-names>D</given-names></name><name><surname>Chung</surname><given-names>SW</given-names></name><name><surname>Seliga</surname><given-names>RK</given-names></name><name><surname>Shao</surname><given-names>Z</given-names></name><name><surname>Lee</surname><given-names>E</given-names></name><name><surname>Ogawa</surname><given-names>S</given-names></name><name><surname>Ogawa</surname><given-names>M</given-names></name><name><surname>Wilson</surname><given-names>MD</given-names></name><name><surname>Fish</surname><given-names>JE</given-names></name><name><surname>Selzner</surname><given-names>M</given-names></name><name><surname>Ghanekar</surname><given-names>A</given-names></name><name><surname>Grant</surname><given-names>D</given-names></name><name><surname>Greig</surname><given-names>P</given-names></name><name><surname>Sapisochin</surname><given-names>G</given-names></name><name><surname>Selzner</surname><given-names>N</given-names></name><name><surname>Winegarden</surname><given-names>N</given-names></name><name><surname>Adeyi</surname><given-names>O</given-names></name><name><surname>Keller</surname><given-names>G</given-names></name><name><surname>Bader</surname><given-names>GD</given-names></name><name><surname>McGilvray</surname><given-names>ID</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations</article-title><source>Nature Communications</source><volume>9</volume><elocation-id>4383</elocation-id><pub-id pub-id-type="doi">10.1038/s41467-018-06318-7</pub-id><pub-id pub-id-type="pmid">30348985</pub-id></element-citation></ref><ref id="bib27"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mamane</surname><given-names>Y</given-names></name><name><surname>Chung Chan</surname><given-names>C</given-names></name><name><surname>Lavallee</surname><given-names>G</given-names></name><name><surname>Morin</surname><given-names>N</given-names></name><name><surname>Xu</surname><given-names>LJ</given-names></name><name><surname>Huang</surname><given-names>J</given-names></name><name><surname>Gordon</surname><given-names>R</given-names></name><name><surname>Thomas</surname><given-names>W</given-names></name><name><surname>Lamb</surname><given-names>J</given-names></name><name><surname>Schadt</surname><given-names>EE</given-names></name><name><surname>Kennedy</surname><given-names>BP</given-names></name><name><surname>Mancini</surname><given-names>JA</given-names></name></person-group><year iso-8601-date="2009">2009</year><article-title>The C3a anaphylatoxin receptor is a key mediator of insulin resistance and functions by modulating adipose tissue macrophage infiltration and activation</article-title><source>Diabetes</source><volume>58</volume><fpage>2006</fpage><lpage>2017</lpage><pub-id pub-id-type="doi">10.2337/db09-0323</pub-id><pub-id pub-id-type="pmid">19581423</pub-id></element-citation></ref><ref id="bib28"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Markiewski</surname><given-names>MM</given-names></name><name><surname>Lambris</surname><given-names>JD</given-names></name></person-group><year iso-8601-date="2007">2007</year><article-title>The role of complement in inflammatory diseases from behind the scenes into the spotlight</article-title><source>The American Journal of Pathology</source><volume>171</volume><fpage>715</fpage><lpage>727</lpage><pub-id pub-id-type="doi">10.2353/ajpath.2007.070166</pub-id><pub-id pub-id-type="pmid">17640961</pub-id></element-citation></ref><ref id="bib29"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Merle</surname><given-names>NS</given-names></name><name><surname>Church</surname><given-names>SE</given-names></name><name><surname>Fremeaux-Bacchi</surname><given-names>V</given-names></name><name><surname>Roumenina</surname><given-names>LT</given-names></name></person-group><year iso-8601-date="2015">2015</year><article-title>Complement system part i - molecular mechanisms of activation and regulation</article-title><source>Frontiers in Immunology</source><volume>6</volume><elocation-id>262</elocation-id><pub-id pub-id-type="doi">10.3389/fimmu.2015.00262</pub-id><pub-id pub-id-type="pmid">26082779</pub-id></element-citation></ref><ref id="bib30"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Park</surname><given-names>SJ</given-names></name><name><surname>Garcia Diaz</surname><given-names>J</given-names></name><name><surname>Um</surname><given-names>E</given-names></name><name><surname>Hahn</surname><given-names>YS</given-names></name></person-group><year iso-8601-date="2023">2023</year><article-title>Major roles of kupffer cells and macrophages in NAFLD development</article-title><source>Frontiers in Endocrinology</source><volume>14</volume><elocation-id>1150118</elocation-id><pub-id pub-id-type="doi">10.3389/fendo.2023.1150118</pub-id><pub-id pub-id-type="pmid">37274349</pub-id></element-citation></ref><ref id="bib31"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Polyzos</surname><given-names>SA</given-names></name><name><surname>Kountouras</surname><given-names>J</given-names></name><name><surname>Mantzoros</surname><given-names>CS</given-names></name></person-group><year iso-8601-date="2016">2016</year><article-title>Adipokines in nonalcoholic fatty liver disease</article-title><source>Metabolism</source><volume>65</volume><fpage>1062</fpage><lpage>1079</lpage><pub-id pub-id-type="doi">10.1016/j.metabol.2015.11.006</pub-id><pub-id pub-id-type="pmid">26725002</pub-id></element-citation></ref><ref id="bib32"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sakai</surname><given-names>M</given-names></name><name><surname>Troutman</surname><given-names>TD</given-names></name><name><surname>Seidman</surname><given-names>JS</given-names></name><name><surname>Ouyang</surname><given-names>Z</given-names></name><name><surname>Spann</surname><given-names>NJ</given-names></name><name><surname>Abe</surname><given-names>Y</given-names></name><name><surname>Ego</surname><given-names>KM</given-names></name><name><surname>Bruni</surname><given-names>CM</given-names></name><name><surname>Deng</surname><given-names>Z</given-names></name><name><surname>Schlachetzki</surname><given-names>JCM</given-names></name><name><surname>Nott</surname><given-names>A</given-names></name><name><surname>Bennett</surname><given-names>H</given-names></name><name><surname>Chang</surname><given-names>J</given-names></name><name><surname>Vu</surname><given-names>BT</given-names></name><name><surname>Pasillas</surname><given-names>MP</given-names></name><name><surname>Link</surname><given-names>VM</given-names></name><name><surname>Texari</surname><given-names>L</given-names></name><name><surname>Heinz</surname><given-names>S</given-names></name><name><surname>Thompson</surname><given-names>BM</given-names></name><name><surname>McDonald</surname><given-names>JG</given-names></name><name><surname>Geissmann</surname><given-names>F</given-names></name><name><surname>Glass</surname><given-names>CK</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Liver-derived signals sequentially reprogram myeloid enhancers to initiate and maintain kupffer cell identity</article-title><source>Immunity</source><volume>51</volume><fpage>655</fpage><lpage>670</lpage><pub-id pub-id-type="doi">10.1016/j.immuni.2019.09.002</pub-id><pub-id pub-id-type="pmid">31587991</pub-id></element-citation></ref><ref id="bib33"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Segers</surname><given-names>FM</given-names></name><name><surname>Verdam</surname><given-names>FJ</given-names></name><name><surname>de Jonge</surname><given-names>C</given-names></name><name><surname>Boonen</surname><given-names>B</given-names></name><name><surname>Driessen</surname><given-names>A</given-names></name><name><surname>Shiri-Sverdlov</surname><given-names>R</given-names></name><name><surname>Bouvy</surname><given-names>ND</given-names></name><name><surname>Greve</surname><given-names>JWM</given-names></name><name><surname>Buurman</surname><given-names>WA</given-names></name><name><surname>Rensen</surname><given-names>SS</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>Complement alternative pathway activation in human nonalcoholic steatohepatitis</article-title><source>PLOS ONE</source><volume>9</volume><elocation-id>e110053</elocation-id><pub-id pub-id-type="doi">10.1371/journal.pone.0110053</pub-id><pub-id pub-id-type="pmid">25299043</pub-id></element-citation></ref><ref id="bib34"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stefan</surname><given-names>N</given-names></name><name><surname>Häring</surname><given-names>HU</given-names></name><name><surname>Cusi</surname><given-names>K</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies</article-title><source>The Lancet. Diabetes &amp; Endocrinology</source><volume>7</volume><fpage>313</fpage><lpage>324</lpage><pub-id pub-id-type="doi">10.1016/S2213-8587(18)30154-2</pub-id><pub-id pub-id-type="pmid">30174213</pub-id></element-citation></ref><ref id="bib35"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Suppli</surname><given-names>MP</given-names></name><name><surname>Rigbolt</surname><given-names>KTG</given-names></name><name><surname>Veidal</surname><given-names>SS</given-names></name><name><surname>Heebøll</surname><given-names>S</given-names></name><name><surname>Eriksen</surname><given-names>PL</given-names></name><name><surname>Demant</surname><given-names>M</given-names></name><name><surname>Bagger</surname><given-names>JI</given-names></name><name><surname>Nielsen</surname><given-names>JC</given-names></name><name><surname>Oró</surname><given-names>D</given-names></name><name><surname>Thrane</surname><given-names>SW</given-names></name><name><surname>Lund</surname><given-names>A</given-names></name><name><surname>Strandberg</surname><given-names>C</given-names></name><name><surname>Kønig</surname><given-names>MJ</given-names></name><name><surname>Vilsbøll</surname><given-names>T</given-names></name><name><surname>Vrang</surname><given-names>N</given-names></name><name><surname>Thomsen</surname><given-names>KL</given-names></name><name><surname>Grønbæk</surname><given-names>H</given-names></name><name><surname>Jelsing</surname><given-names>J</given-names></name><name><surname>Hansen</surname><given-names>HH</given-names></name><name><surname>Knop</surname><given-names>FK</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>Hepatic transcriptome signatures in patients with varying degrees of nonalcoholic fatty liver disease compared with healthy normal-weight individuals</article-title><source>American Journal of Physiology. Gastrointestinal and Liver Physiology</source><volume>316</volume><fpage>G462</fpage><lpage>G472</lpage><pub-id pub-id-type="doi">10.1152/ajpgi.00358.2018</pub-id><pub-id pub-id-type="pmid">30653341</pub-id></element-citation></ref><ref id="bib36"><element-citation publication-type="journal"><person-group person-group-type="author"><collab>The Tabula Muris Consortium</collab><collab>Overall coordination</collab><collab>Logistical coordination</collab><collab>Organ collection and processing</collab><collab>Library preparation and sequencing</collab><collab>Computational data analysis</collab><collab>Cell type annotation</collab><collab>Writing group</collab><collab>Supplemental text writing group</collab><collab>Principal investigators</collab></person-group><year iso-8601-date="2018">2018</year><article-title>Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris</article-title><source>Nature</source><volume>562</volume><fpage>367</fpage><lpage>372</lpage><pub-id pub-id-type="doi">10.1038/s41586-018-0590-4</pub-id></element-citation></ref><ref id="bib37"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tsuchida</surname><given-names>T</given-names></name><name><surname>Lee</surname><given-names>YA</given-names></name><name><surname>Fujiwara</surname><given-names>N</given-names></name><name><surname>Ybanez</surname><given-names>M</given-names></name><name><surname>Allen</surname><given-names>B</given-names></name><name><surname>Martins</surname><given-names>S</given-names></name><name><surname>Fiel</surname><given-names>MI</given-names></name><name><surname>Goossens</surname><given-names>N</given-names></name><name><surname>Chou</surname><given-names>HI</given-names></name><name><surname>Hoshida</surname><given-names>Y</given-names></name><name><surname>Friedman</surname><given-names>SL</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>A simple diet- and chemical-induced murine NASH model with rapid progression of steatohepatitis, fibrosis and liver cancer</article-title><source>Journal of Hepatology</source><volume>69</volume><fpage>385</fpage><lpage>395</lpage><pub-id pub-id-type="doi">10.1016/j.jhep.2018.03.011</pub-id><pub-id pub-id-type="pmid">29572095</pub-id></element-citation></ref><ref id="bib38"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Uhlén</surname><given-names>M</given-names></name><name><surname>Fagerberg</surname><given-names>L</given-names></name><name><surname>Hallström</surname><given-names>BM</given-names></name><name><surname>Lindskog</surname><given-names>C</given-names></name><name><surname>Oksvold</surname><given-names>P</given-names></name><name><surname>Mardinoglu</surname><given-names>A</given-names></name><name><surname>Sivertsson</surname><given-names>Å</given-names></name><name><surname>Kampf</surname><given-names>C</given-names></name><name><surname>Sjöstedt</surname><given-names>E</given-names></name><name><surname>Asplund</surname><given-names>A</given-names></name><name><surname>Olsson</surname><given-names>I</given-names></name><name><surname>Edlund</surname><given-names>K</given-names></name><name><surname>Lundberg</surname><given-names>E</given-names></name><name><surname>Navani</surname><given-names>S</given-names></name><name><surname>Szigyarto</surname><given-names>CAK</given-names></name><name><surname>Odeberg</surname><given-names>J</given-names></name><name><surname>Djureinovic</surname><given-names>D</given-names></name><name><surname>Takanen</surname><given-names>JO</given-names></name><name><surname>Hober</surname><given-names>S</given-names></name><name><surname>Alm</surname><given-names>T</given-names></name><name><surname>Edqvist</surname><given-names>PH</given-names></name><name><surname>Berling</surname><given-names>H</given-names></name><name><surname>Tegel</surname><given-names>H</given-names></name><name><surname>Mulder</surname><given-names>J</given-names></name><name><surname>Rockberg</surname><given-names>J</given-names></name><name><surname>Nilsson</surname><given-names>P</given-names></name><name><surname>Schwenk</surname><given-names>JM</given-names></name><name><surname>Hamsten</surname><given-names>M</given-names></name><name><surname>von Feilitzen</surname><given-names>K</given-names></name><name><surname>Forsberg</surname><given-names>M</given-names></name><name><surname>Persson</surname><given-names>L</given-names></name><name><surname>Johansson</surname><given-names>F</given-names></name><name><surname>Zwahlen</surname><given-names>M</given-names></name><name><surname>von Heijne</surname><given-names>G</given-names></name><name><surname>Nielsen</surname><given-names>J</given-names></name><name><surname>Pontén</surname><given-names>F</given-names></name></person-group><year iso-8601-date="2015">2015</year><article-title>Proteomics: tissue-based map of the human proteome</article-title><source>Science</source><volume>347</volume><elocation-id>1260419</elocation-id><pub-id pub-id-type="doi">10.1126/science.1260419</pub-id><pub-id pub-id-type="pmid">25613900</pub-id></element-citation></ref><ref id="bib39"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Vacca</surname><given-names>M</given-names></name><name><surname>Kamzolas</surname><given-names>I</given-names></name><name><surname>Harder</surname><given-names>LM</given-names></name><name><surname>Oakley</surname><given-names>F</given-names></name><name><surname>Trautwein</surname><given-names>C</given-names></name><name><surname>Hatting</surname><given-names>M</given-names></name><name><surname>Ross</surname><given-names>T</given-names></name><name><surname>Bernardo</surname><given-names>B</given-names></name><name><surname>Oldenburger</surname><given-names>A</given-names></name><name><surname>Hjuler</surname><given-names>ST</given-names></name><name><surname>Ksiazek</surname><given-names>I</given-names></name><name><surname>Lindén</surname><given-names>D</given-names></name><name><surname>Schuppan</surname><given-names>D</given-names></name><name><surname>Rodriguez-Cuenca</surname><given-names>S</given-names></name><name><surname>Tonini</surname><given-names>MM</given-names></name><name><surname>Castañeda</surname><given-names>TR</given-names></name><name><surname>Kannt</surname><given-names>A</given-names></name><name><surname>Rodrigues</surname><given-names>CMP</given-names></name><name><surname>Cockell</surname><given-names>S</given-names></name><name><surname>Govaere</surname><given-names>O</given-names></name><name><surname>Daly</surname><given-names>AK</given-names></name><name><surname>Allison</surname><given-names>M</given-names></name><name><surname>Honnens de Lichtenberg</surname><given-names>K</given-names></name><name><surname>Kim</surname><given-names>YO</given-names></name><name><surname>Lindblom</surname><given-names>A</given-names></name><name><surname>Oldham</surname><given-names>S</given-names></name><name><surname>Andréasson</surname><given-names>AC</given-names></name><name><surname>Schlerman</surname><given-names>F</given-names></name><name><surname>Marioneaux</surname><given-names>J</given-names></name><name><surname>Sanyal</surname><given-names>A</given-names></name><name><surname>Afonso</surname><given-names>MB</given-names></name><name><surname>Younes</surname><given-names>R</given-names></name><name><surname>Amano</surname><given-names>Y</given-names></name><name><surname>Friedman</surname><given-names>SL</given-names></name><name><surname>Wang</surname><given-names>S</given-names></name><name><surname>Bhattacharya</surname><given-names>D</given-names></name><name><surname>Simon</surname><given-names>E</given-names></name><name><surname>Paradis</surname><given-names>V</given-names></name><name><surname>Burt</surname><given-names>A</given-names></name><name><surname>Grypari</surname><given-names>IM</given-names></name><name><surname>Davies</surname><given-names>S</given-names></name><name><surname>Driessen</surname><given-names>A</given-names></name><name><surname>Yashiro</surname><given-names>H</given-names></name><name><surname>Pors</surname><given-names>S</given-names></name><name><surname>Worm Andersen</surname><given-names>M</given-names></name><name><surname>Feigh</surname><given-names>M</given-names></name><name><surname>Yunis</surname><given-names>C</given-names></name><name><surname>Bedossa</surname><given-names>P</given-names></name><name><surname>Stewart</surname><given-names>M</given-names></name><name><surname>Cater</surname><given-names>HL</given-names></name><name><surname>Wells</surname><given-names>S</given-names></name><name><surname>Schattenberg</surname><given-names>JM</given-names></name><name><surname>Anstee</surname><given-names>QM</given-names></name><name><surname>Tiniakos</surname><given-names>D</given-names></name><name><surname>Perfield</surname><given-names>JW</given-names></name><name><surname>Petsalaki</surname><given-names>E</given-names></name><name><surname>Davidsen</surname><given-names>P</given-names></name><name><surname>Vidal-Puig</surname><given-names>A</given-names></name><collab>LITMUS Investigators</collab></person-group><year iso-8601-date="2024">2024</year><article-title>An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD)</article-title><source>Nature Metabolism</source><volume>6</volume><fpage>1178</fpage><lpage>1196</lpage><pub-id pub-id-type="doi">10.1038/s42255-024-01043-6</pub-id><pub-id pub-id-type="pmid">38867022</pub-id></element-citation></ref><ref id="bib40"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname><given-names>Y</given-names></name><name><surname>Ma</surname><given-names>M</given-names></name><name><surname>Ippolito</surname><given-names>GC</given-names></name><name><surname>Schroeder</surname><given-names>HW</given-names><suffix>Jr</suffix></name><name><surname>Carroll</surname><given-names>MC</given-names></name><name><surname>Volanakis</surname><given-names>JE</given-names></name></person-group><year iso-8601-date="2001">2001</year><article-title>Complement activation in factor D-deficient mice</article-title><source>PNAS</source><volume>98</volume><fpage>14577</fpage><lpage>14582</lpage><pub-id pub-id-type="doi">10.1073/pnas.261428398</pub-id><pub-id pub-id-type="pmid">11724962</pub-id></element-citation></ref><ref id="bib41"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yadav</surname><given-names>MK</given-names></name><name><surname>Maharana</surname><given-names>J</given-names></name><name><surname>Yadav</surname><given-names>R</given-names></name><name><surname>Saha</surname><given-names>S</given-names></name><name><surname>Sarma</surname><given-names>P</given-names></name><name><surname>Soni</surname><given-names>C</given-names></name><name><surname>Singh</surname><given-names>V</given-names></name><name><surname>Saha</surname><given-names>S</given-names></name><name><surname>Ganguly</surname><given-names>M</given-names></name><name><surname>Li</surname><given-names>XX</given-names></name><name><surname>Mohapatra</surname><given-names>S</given-names></name><name><surname>Mishra</surname><given-names>S</given-names></name><name><surname>Khant</surname><given-names>HA</given-names></name><name><surname>Chami</surname><given-names>M</given-names></name><name><surname>Woodruff</surname><given-names>TM</given-names></name><name><surname>Banerjee</surname><given-names>R</given-names></name><name><surname>Shukla</surname><given-names>AK</given-names></name><name><surname>Gati</surname><given-names>C</given-names></name></person-group><year iso-8601-date="2023">2023</year><article-title>Molecular basis of anaphylatoxin binding, activation, and signaling bias at complement receptors</article-title><source>Cell</source><volume>186</volume><fpage>4956</fpage><lpage>4973</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2023.09.020</pub-id><pub-id pub-id-type="pmid">37852260</pub-id></element-citation></ref><ref id="bib42"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Younossi</surname><given-names>Z</given-names></name><name><surname>Anstee</surname><given-names>QM</given-names></name><name><surname>Marietti</surname><given-names>M</given-names></name><name><surname>Hardy</surname><given-names>T</given-names></name><name><surname>Henry</surname><given-names>L</given-names></name><name><surname>Eslam</surname><given-names>M</given-names></name><name><surname>George</surname><given-names>J</given-names></name><name><surname>Bugianesi</surname><given-names>E</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention</article-title><source>Nature Reviews. Gastroenterology &amp; Hepatology</source><volume>15</volume><fpage>11</fpage><lpage>20</lpage><pub-id pub-id-type="doi">10.1038/nrgastro.2017.109</pub-id><pub-id pub-id-type="pmid">28930295</pub-id></element-citation></ref><ref id="bib43"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Goncalves</surname><given-names>R</given-names></name><name><surname>Mosser</surname><given-names>DM</given-names></name></person-group><year iso-8601-date="2008">2008</year><article-title>The isolation and characterization of murine macrophages</article-title><source>Current Protocols in Immunology</source><volume>83</volume><elocation-id>14</elocation-id><pub-id pub-id-type="doi">10.1002/0471142735.im1401s83</pub-id></element-citation></ref><ref id="bib44"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname><given-names>J</given-names></name><name><surname>Wu</surname><given-names>Y</given-names></name><name><surname>Lu</surname><given-names>P</given-names></name><name><surname>Wu</surname><given-names>X</given-names></name><name><surname>Han</surname><given-names>J</given-names></name><name><surname>Shi</surname><given-names>Y</given-names></name><name><surname>Liu</surname><given-names>Y</given-names></name><name><surname>Cheng</surname><given-names>Y</given-names></name><name><surname>Gao</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>Z</given-names></name><name><surname>Fan</surname><given-names>X</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Association of complement components with the risk and severity of NAFLD: a systematic review and meta-analysis</article-title><source>Frontiers in Immunology</source><volume>13</volume><elocation-id>1054159</elocation-id><pub-id pub-id-type="doi">10.3389/fimmu.2022.1054159</pub-id></element-citation></ref></ref-list></back><sub-article article-type="editor-report" id="sa0"><front-stub><article-id pub-id-type="doi">10.7554/eLife.100708.3.sa0</article-id><title-group><article-title>eLife Assessment</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mori</surname><given-names>Marcelo A</given-names></name><role specific-use="editor">Reviewing Editor</role><aff><institution>State University of Campinas</institution><country>Brazil</country></aff></contrib></contrib-group><kwd-group kwd-group-type="evidence-strength"><kwd>Solid</kwd></kwd-group><kwd-group kwd-group-type="claim-importance"><kwd>Valuable</kwd></kwd-group></front-stub><body><p>This <bold>valuable</bold> study investigates the role of Complement 3a Receptor 1 (C3aR) in the pathogenesis of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) using mouse models with specific target deletions in various cell types. While the general relevance of C3aR in inflammatory contexts has been established before, the authors provide <bold>solid</bold> evidence here that C3aR does not contribute significantly to MASLD pathogenesis in their models. The work will be of interest to colleagues studying diseases of the liver and the intersection with inflammation.</p></body></sub-article><sub-article article-type="referee-report" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.100708.3.sa1</article-id><title-group><article-title>Reviewer #1 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>In this paper Homan et al used mouse models of Metabolic Dysfunction-Associated Steatotic Liver Disease and different specific target deletions in cells to rule out the role of Complement 3a Receptor 1 in the pathogenesis of disease. They provided limited evidence and only descriptive results that despite C3aR being relevant in different contexts of inflammation, however, these tenets did not hold true.</p><p>Comments on revisions:</p><p>The revised version fulfilled my queries.</p></body></sub-article><sub-article article-type="referee-report" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.100708.3.sa2</article-id><title-group><article-title>Reviewer #2 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>Homan et al. examined the effect of macrophage- or Kupffer cell-specific C3aR1 KO on MASLD/MASH-related metabolic or liver phenotypes.</p><p>Strengths:</p><p>Established macrophage- or Kupffer cell-specific C3aR1 KO mice, and showing comparable liver metabolic phenotypes between WT and macrophage-specific C3aR1KO mice in response to normal chow diet or MASH diet feeding.</p><p>Weaknesses:</p><p>Insufficient data showing the effects of C3aR1KO on liver macrophage phenotypes, such as hepatic macrophage profiles, macrophage activation status, etc, which are important for the development of liver steatosis and fibrosis.</p></body></sub-article><sub-article article-type="author-comment" id="sa3"><front-stub><article-id pub-id-type="doi">10.7554/eLife.100708.3.sa3</article-id><title-group><article-title>Author response</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Homan</surname><given-names>Edwin A</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Gilani</surname><given-names>Ankit</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medical College</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Rubio-Navarro</surname><given-names>Alfonso</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medical College</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Maya A</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Schaepkens</surname><given-names>Odin M</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Cortada</surname><given-names>Eric</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Pereira de Lima</surname><given-names>Renan</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Stoll</surname><given-names>Lisa</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Lo</surname><given-names>James C</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib></contrib-group></front-stub><body><p>The following is the authors’ response to the original reviews.</p><disp-quote content-type="editor-comment"><p><bold>Public Reviews:</bold></p><p><bold>Reviewer #1 (Public review):</bold></p><p>Summary:</p><p>In this paper Homan et al used mouse models of Metabolic Dysfunction-Associated Steatotic Liver Disease and different specific target deletions in cells to rule out the role of Complement 3a Receptor 1 in the pathogenesis of disease. They provided limited evidence and only descriptive results that despite C3aR being relevant in different contexts of inflammation, however, these tenets did not hold true.</p><p>Weaknesses:</p><p>(1) The results are based on readouts showing that C3aR is not involved in the pathogenesis of liver metabolic disease.</p><p>(2) The description of the mouse models they used to validate their findings is not clear. Lysm-cre mice - which are claimed to delete C3aR in (?) macrophages are not specific for these cells, and the genetic strategy to delete C3aR in Kupffer cells is not clear.</p><p>(3) Taking this into account, it is very challenging to determine the validity of these data, also considering that they are merely descriptive and correlative.</p></disp-quote><p>We generated 2 different cohorts of mice using LysM-Cre (Jackson Strain #004781) to drive deletion in all macrophages and Clec4f-Cre (Jackson Strain #033296) to specifically ablate <italic>C3ar1</italic> in Kupffer cells. These experimental models have been clearly defined in the revised manuscript on pages 5 and 7 and in the methods section (page 10). The reviewer’s point is well taken that the LysM-Cre transgene can also be active in granulocytes and some dendritic cells. Even so, despite deletion of <italic>C3ar1</italic> in macrophages and other granulocytes, we do not see a major effect on hepatic steatosis and fibrosis in this GAN diet induced model of MASLD/MASH. This was a somewhat surprising finding. We do not agree that our findings are correlative. We specifically ablated C3aR1 in macrophages or Kupffer cells and found no significant differences in the major readouts of steatosis and fibrosis for MASLD/MASH between control and knockout mice. It is possible that in other models of liver injury that we did not test (e.g., short-term treatment with a hepatotoxin such as carbon tetrachloride), there may be differences in liver injury in mice lacking <italic>C3ar1</italic> in macrophages, but the GAN diet model has been shown to better parallel the gene expression changes in human MAFLD/MASH. This has been added to the discussion (page 9).</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Public review):</bold></p><p>Summary:</p><p>Homan et al. examined the effect of macrophage- or Kupffer cell-specific C3aR1 KO on MASLD/MASH-related metabolic or liver phenotypes.</p><p>Strengths:</p><p>Established macrophage- or Kupffer cell-specific C3aR1 KO mice.</p><p>Weaknesses:</p><p>Lack of in-depth study; flaws in comparisons between KC-specific C3aR1KO and WT in the context of MASLD/MASH, because MASLD/MASH WT mice likely have a low abundance of C3aR1 on KCs.</p><p>Homan et al. reported a set of observation data from macrophage or Kupffer cell-specific C3aR1KO mice. Several questions and concerns as follows could challenge the conclusions of this study:</p><p>(1) As C3aR1 is robustly repressed in MASLD or MASH liver, GAN feeding likely reduced C3aR1 abundance in the liver of WT mice. Thus, it is not surprising that there were no significant differences in liver phenotypes between WT vs. C3aR1KO mice after prolonged GAN diet feeding. It would give more significance to the study if restoring C3aR1 abundance in KCs in the context of MASLD/MASH.</p></disp-quote><p>GAN diet feeding resulted in higher liver <italic>C3ar1</italic> compared to regular diet (Figure 1H). This thus became an impetus for studying the effects of <italic>C3ar1</italic> deletion in macrophages or Kupffer cells, which are responsible for the majority of liver <italic>C3ar1</italic> expression, in MASLD/MASH (Figures 2B and 3H). This point has been added to the text on page 5.</p><disp-quote content-type="editor-comment"><p>(2) Would C3aR1KO mice develop liver abnormalities after a short period of GAN diet feeding?</p></disp-quote><p>We did not assess if short term GAN diet feeding resulted in significant differences in liver abnormalities in the <italic>C3ar1</italic> macrophage or Kupffer cell knockout mice. Perhaps the reviewer’s point is that perhaps with shorter periods of GAN diet feeding there may be a phenotype in the KO mice. We agree that this is entirely possible, though with shorter feeding timeframes what is typically seen is hepatic steatosis without fibrosis. Nevertheless, the most important element in our opinion for a disease preventing or modifying model lies with the longer-term GAN diet feeding. With long term GAN diet feeding that has been previously shown to model human MASLD/MASH, we did not observe significant differences in liver abnormalities with the KO mice. This has been added to the discussion (page 8).</p><disp-quote content-type="editor-comment"><p>(3) What would be the liver macrophage phenotypes in WT vs C3aR1KO mice after GAN feeding?</p></disp-quote><p>Similar to the above point, given the lack of a major MASLD/MASH phenotype in hepatic steatosis and fibrosis, we did not further profile the liver macrophage profiles of the macrophage or Kupffer cell <italic>C3ar1</italic> KO mice with GAN feeding.</p><disp-quote content-type="editor-comment"><p>(4) In Fig 1D, &gt;25wks GAN feeding had minimal effects on female body weight gain. These GAN-fed female mice also develop NASLD/MASH liver abnormalities?</p></disp-quote><p>We thank the reviewer for this question. In general, female GAN-fed mice develop milder MASLD/MASH abnormalities. We have included additional data in the revised manuscript in Figure S4. These results show no to minimal development of a MASLD/MASH gene signature.</p><disp-quote content-type="editor-comment"><p>(5) Would C3aR1KO result in differences in liver phenotypes, including macrophage population/activation, liver inflammation, lipogenesis, in lean mice?</p></disp-quote><p>We have provided additional data further characterizing liver inflammation, lipogenesis and macrophages in macrophage <italic>C3ar1</italic> KO mice under lean/regular diet conditions in Figure 2K. These results show a potential trend but no substantial development of a MASLD/MASH gene signature.</p><disp-quote content-type="editor-comment"><p>(6) The authors should provide more information regarding the generation of KC-specific C3aR1KO. Which Cre mice were used to breed with C3aR1 flox mice?</p></disp-quote><p>Clec4f-Cre transgenic mice were used to generate Kupffer cell specific KO of <italic>C3ar1</italic>. This has been clarified and explicitly stated in the revised manuscript on page 7 and in the methods section.</p><disp-quote content-type="editor-comment"><p><bold>Recommendations for the authors:</bold></p><p><bold>Reviewer #1 (Recommendations for the authors):</bold></p><p>These data should be repeated using a more established model of Kupffer cell target deletion via Clec4-F mice.</p></disp-quote><p>Our data with Kupffer cell <italic>C3ar1</italic> deletion is indeed done with Clec4f-Cre transgenic mice. This has been clarified in the revised manuscript on page 7 and in the methods section.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Recommendations for the authors):</bold></p><p>(1) Typo: &quot;iver&quot; in the abstract</p><p>(2) Line 97, &quot;GAN diet I&quot; should be &quot;GAN diet&quot;?</p></disp-quote><p>These points have been corrected in the revised manuscript.</p></body></sub-article></article>