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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1747323</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Decidual stromal cells drive CD16<sup>+</sup> macrophages towards an immunoregulatory phenotype via extracellular matrix-adhesion molecule interaction during early pregnancy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Yang</surname><given-names>Hui-Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<name><surname>Shi</surname><given-names>Jia-Wei</given-names></name>
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<name><surname>Lai</surname><given-names>Zhen-Zhen</given-names></name>
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<name><surname>Zhao</surname><given-names>Hong-Bo</given-names></name>
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<name><surname>Ye</surname><given-names>Jiang-Feng</given-names></name>
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<name><surname>Li</surname><given-names>Ming-Qing</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Reproductive Immunology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Shanghai Key Laboratory of Embryo Original Diseases, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Obstetrics and Gynecology, The First Affiliated Hospital of Ningbo University</institution>, <city>Ningbo</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Obstetrics and Gynecology, Fujian Medical University Union Hospital</institution>, <city>Fuzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Institute of Obstetrics and Gynecology, Hospital of Obstetrics and Gynecology, Fudan University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Institute for Molecular and Cell Biology, Agency for Science, Technology and Research</institution>, <city>Singapore</city>,&#xa0;<country country="sg">Singapore</country></aff>
<aff id="aff7"><label>7</label><institution>Center for Reproductive Medicine &amp; Fertility Preservation Program, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff8"><label>8</label><institution>Department of Obstetrics and Gynecology, Shanghai Changning Maternity &amp; Infant Health Hospital, East China Normal University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Ming-Qing Li, <email xlink:href="mailto:mqli@sjtu.edu.cn">mqli@sjtu.edu.cn</email>; Ting Peng, <email xlink:href="mailto:qch1868@163.com">qch1868@163.com</email>; Li Wang, <email xlink:href="mailto:wangli_ivf@163.com">wangli_ivf@163.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-05">
<day>05</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1747323</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Yang, Shi, Lai, Li, Gu, Zheng, Zhao, Ye, Wang, Peng and Li.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yang, Shi, Lai, Li, Gu, Zheng, Zhao, Ye, Wang, Peng and Li</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-05">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Dramatic alterations of the extracellular matrix (ECM), which can regulate cell behavior by binding to adhesion molecules and are intrinsically linked to immune regulation, occur in decidualization during early pregnancy. Decidual macrophages (dM&#x3c6;) are a group of tissue-resident cells with an affinity for adhesion. An interactive dialogue occurs between decidual stromal cells (DSCs) and dM&#x3c6;, however it remains unclear whether this process is associated with ECM-adhesion molecules. This study was conducted to investigate the cross-talk of DSC and CD16<sup>+</sup> dM&#x3c6; via extracellular matrix-adhesion molecule interaction in early pregnancy.</p>
</sec>
<sec>
<title>Methods</title>
<p>Single-cell sequencing data from endometrial and decidual tissues were analyzed to elucidate the interactions between DSCs and dM&#x3c6;. We assessed the levels of ECM components in the decidua at the tissue or cellular levels, and examined the expression of adhesion molecules and polarization molecules in CD16<sup>+</sup> or CD16<sup>-</sup> dM&#x3c6;. Then we validated DSC-CD16<sup>+</sup> M&#x3c6; interactions using the co-culture system. Finally, we evaluated the levels of ECM components in decidua and the expression of molecules in dM&#x3c6; in patients with recurrent miscarriage (RM).</p>
</sec>
<sec>
<title>Results</title>
<p>DSCs communicated with dM&#x3c6; via ECM-adhesion molecules. Collagen IV, osteopontin (OPN) and hyaluronic acid (HA) derived from DSCs promoted the development of CD16<sup>+</sup> dM&#x3c6; and their differentiation toward an immunomodulatory phenotype via their receptors, which is beneficial for maintaining immune tolerance. In patients with RM, decidua exhibits weakened ECM-CD16<sup>+</sup> dM&#x3c6; regulatory link, which may be associated with the underlying pathogenesis.</p>
</sec>
<sec>
<title>Discussion</title>
<p>This study confirms that DSC can regulate the immune status of CD16<sup>+</sup> dM&#x3c6; through the ECM-adhesion molecule axis, further elucidating the regulatory mechanisms of M&#x3c6; during decidualization. Exploration of therapeutic strategies based on ECM-receptor-mediated stroma-immune interactions holds promise as novel treatment approaches for miscarriage.</p>
</sec>
</abstract>
<kwd-group>
<kwd>CD16</kwd>
<kwd>decidual stromal cell</kwd>
<kwd>extracellular matrix</kwd>
<kwd>macrophage</kwd>
<kwd>miscarriage</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the National Key Research and Development Program of China (2023YFC2705403), the National Natural Science Foundation of China (82301895, 82502021, 82502013), China Young Medical Innovation Research Grant (20250725&#x2013;02), Fujian Provincial Natural Science Foundation of China (2025J01131), Joint Funds for the innovation of Science and Technology, Fujian province (2024Y9315) and The Open Fund for Shanghai Key Laboratory of Embryo Original Diseases (shelab202402).</funding-statement>
</funding-group>
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<word-count count="5642"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Immunological Tolerance and Regulation</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The maternal-fetal interface consists of placental tissue and decidual tissue, within which components of the maternal immune system are present. The establishment of immune tolerance is essential for occurrence and establishment of a normal pregnancy. The interactive network among the decidua, trophoblast and immune cells plays an indispensable role in this process (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>As an important component of the tissue microenvironment, extracellular matrix (ECM) serves as a vital bridge for intercellular communication. The ECM undergoes continuous degradation and reconstruction during decidualization, embryo implantation and placentation. The ECM performs both mechanical and biochemical functions, maintaining uterine structural integrity, facilitating embryo adhesion, and regulating trophoblast invasion into the endometrium during a healthy pregnancy (<xref ref-type="bibr" rid="B2">2</xref>). Stroma undergoes a profound transformation through decidualization, accompanied by alterations in cellular components including ECM. Abnormal ECM expression (e.g. collagens) and ECM remodeling disorders are associated with pathological pregnancy, such us recurrent miscarriage, gestational diabetes and preeclampsia (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Decidua serves as a primary site for immune cell aggregation and functions as a crucial location for immune interactions between the fetus and the mother (<xref ref-type="bibr" rid="B4">4</xref>). Macrophages account for approximately 20% of immune cells within the human decidua (<xref ref-type="bibr" rid="B5">5</xref>). Macrophages are cells with remarkable plasticity, exhibiting phenotypic switching and responding to environmental perturbations. During the different phases of gestation, macrophages undergo dynamic changes based on stimuli and mediators, differentiating to neither the classic M1 nor M2 subset (<xref ref-type="bibr" rid="B5">5</xref>). Accumulating evidence has indicated that M2 macrophages are the predominant phenotype in the decidua of early pregnancy (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Abnormalities in the proportion, phenotype, or function of decidual macrophages (dM&#x3c6;) are closely associated with early pregnancy loss (<xref ref-type="bibr" rid="B6">6</xref>). Abnormalities in specific subpopulations of dM&#x3c6; may lead to adverse pregnancy outcomes, such as recurrent miscarriage or preeclampsia (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The dM&#x3c6; are co-regulated by the stroma, trophoblasts and other immune cells with mechanisms involving specific pathways such as metabolites, cytokines, growth factors and other immune signaling (<xref ref-type="bibr" rid="B9">9</xref>). The cross-talk between DSCs and dM&#x3c6; has been the most extensively studied. Our recent study has found that Fructose-1,6-bisphosphate (FBP) from decidual stromal cells (DSCs) prevents pregnancy loss by inducing COX-2<sup>+</sup> dM&#x3c6; differentiation (<xref ref-type="bibr" rid="B10">10</xref>). However, the specific mechanisms underlying the interactive dialogue between DSC and dM&#x3c6; in decidua where ECM undergoes significant changes still require further exploration.</p>
<p>ECM contains intrinsic biochemical and mechanical signals that respond to various physiological and pathological stimuli to regulate cellular phenotype and function (<xref ref-type="bibr" rid="B11">11</xref>). ECM can trigger intracellular signaling and regulate cellular behavior by binding to cell adhesion molecules such as integrins and glycoprotein (<xref ref-type="bibr" rid="B11">11</xref>). Once fully differentiated, DSCs begin secreting large quantities of ECM molecules, which induce significant changes in the composition and structure of the endometrial stroma (<xref ref-type="bibr" rid="B2">2</xref>). Decidual macrophages constitute a highly adhesive population of immune cells. High expression of adhesion molecules facilitates their local adhesion and residency. Our previous study has revealed that insufficient residency and reduced proportion of dM&#x3c6; correlates with adverse pregnancy outcomes (<xref ref-type="bibr" rid="B6">6</xref>). DSCs and dM&#x3c6; interactions may be related to the interactions between ECM and adhesion molecules. Previous studies have demonstrated that ECM components such as decorin and hyaluronan can regulate the polarization of dM&#x3c6; (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). However, the regulatory mechanisms by which ECM components derived from dramatically altered stromal cells during decidualization influence macrophages lack systematic investigation.</p>
<p>Here, we have analyzed the dialogue between DSCs and dM&#x3c6; via ECM and adhesion molecules, further elucidating the regulatory mechanisms of macrophages during decidualization.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Tissue collection</title>
<p>All tissues were collected from patients in The International Peace Maternity and Child Health Hospital of Shanghai Jiao Tong University from Feb 2025 to Aug 2025 with ethics committee approval (Approval No. GKLW-A-2025-020-01) and informed consent of the donors. Endometrial tissues of secretory phase (n=36) were collected from women of reproductive ages (29&#x2013;38 years old) with normal pregnancy history, undergoing a hysteroscopic procedure with a pathological diagnosis of benign. These donors had not received any hormone-related treatment within the past six months. Decidual tissues were from women (n=63) with normal first-trimester pregnancy for selective termination (age, 21&#x2013;35 years old; gestational age, 7&#x2013;9 weeks) or patients (n=30) with unexplained recurrent miscarriage (age, 28&#x2013;37 years old; gestational age, 6&#x2013;9 weeks). The samples were collected in the operating room under strict aseptic conditions throughout the procedure and transported to the laboratory on ice within 30 minutes in Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM)/F-12 (HyClone, SH30023.01B) with 10% fetal bovine serum (FBS; Gibco, 26140-079) for further assays or cell isolation.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Cell isolation</title>
<p>Primary endometrial stomal cells (ESCs) and endometrial immune cells (EICs) from endometrial tissues were isolated and collected for flow cytometry analysis according to our previous protocols (<xref ref-type="bibr" rid="B14">14</xref>). DSCs and DICs were also obtained according to the experimental methods previously reported by us (<xref ref-type="bibr" rid="B6">6</xref>). ESCs or DSCs were cultured in DMEM/F-12 (HyClone, SH30023.01) containing 10% FBS (Gibco, 26140-079). DM&#x3c6; from DICs were obtained through positive selection by an CD14<sup>+</sup> cell isolation kit according to the reagent instructions (Miltenyi Biotec, 130&#x2013;050-201).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>scRNA-seq sequencing data analysis</title>
<p>Single-cell RNA sequencing (scRNA-seq) data were obtained from the NCBI Gene Expression Omnibus (GEO) database, GSE183837 (endometrium) and GSE194219 (decidua). Data sequencing and analysis was conducted by NovelBio Bio-Pharm Technology Co., Ltd. Singlecell dissociation (<xref ref-type="bibr" rid="B15">15</xref>). QuSAGE analysis was used to describe the relative pathway activation of specific genes in stromal cells and macrophages. Gene Ontology analysis (<ext-link ext-link-type="uri" xlink:href="http://www.geneontology.org">http://www.geneontology.org</ext-link>) was performed to analyze the enriched pathways of differentially expressed genes in DSC and ESC (false discovery rate [FDR] &lt; 0.05). Cell communication analysis was based on CellPhoneDB (<xref ref-type="bibr" rid="B16">16</xref>). Based on the interaction and normalized cell matrices obtained through Seurat normalization, significant mean values and cell communication significance (p-value &lt; 0.05) were calculated. Pathways of ligands from DSC and receptors from dM&#x3c6; were enriched by KEGG pathway in gene set enrichment analysis.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Cell treatment and co-culture</title>
<p>Human monocyte cell line U937 from American Type Culture Collection (ATCC, CRL-3253) was cultured with RPMI-1640 medium (HyClone, SH30027.01) containing 10% FBS. U937 cells (5 &#xd7; 10<sup>5</sup>/well in 6-well plate) were treated with recombinant human (rH) macrophage colony stimulating factor (CSF1, 50 ng/mL; Pepro Tech, AF-300-25-100) to induce M0 macrophages and both rH-CSF1 (50 ng/mL) and rH-IL10 (50 ng/mL; Pepro Tech, AF-200-10-100) for 6 days to induce decidual-like M2 macrophages according to previous report (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>M2&#x3c6; were treated with exogenous COL4A1 (10 ug/mL; Proteintech, Ag34402), OPN (1 ug/mL; ABclonal, RP00989), and HA (High Molecular Weight; 50&#x3bc;M, 100&#x3bc;M; R&amp;D system, GLR002) for 48 hours. Gene silencing plasmid targeting <italic>COL4A1</italic> (si<italic>COL4A1</italic>)/<italic>SPP1</italic> (si<italic>SPP1</italic>) or control plasmid was from Shanghai Genechem Co., LTD. (China). DSCs were seeded in 6-well culture plates (5 &#xd7; 10<sup>5</sup> cells/well) and subsequently infected with si<italic>COL4A1</italic>/si<italic>SPP1</italic> or control plasmid. Twelve hours after infection, fresh complete culture medium was used to continue the culture. The infection efficiency was evaluated by RT-qPCR 96 hours after infection. DSCs were seeded in 6-well culture plates (5 &#xd7; 10<sup>5</sup> cells/well) and treated with 4-Methylumbelliferone (4-MU; 500 &#x3bc;M; MCE, HY-N0187), a hyaluronan synthase inhibitor or vehicle (1&#x2030; DMSO) for 48 hours.</p>
<p>After 48 hours of culture of si<italic>COL4A1</italic>/si<italic>SPP1</italic>/Ctrl DSCs or 4-MU/vehicle-treated DSCs in 24&#x2010;well plate (1 &#xd7; 10<sup>5</sup> cells/well), M2&#x3c6; (1 &#xd7; 10<sup>5</sup> cells/well) was then placed in the upper compartment of the transwell chamber inserts (0.4 &#x3bc;m aperture, 12 mm diameter; Corning) in the non&#x2010;contact transwell co&#x2010;culture unit. After 48&#x2010;hour co&#x2010;culture, macrophages were collected and flow cytometry assays were carried out to analyze the levels of CD16 and other polarization markers in them.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>RT-qPCR</title>
<p>The transcription levels of <italic>COL4A1</italic> or <italic>SPP1</italic> in DSCs were verified by RT-qPCR according to the standard protocols (RR036A and RR820A; Takara). All values obtained were normalized to the values obtained for &#x3b2;-actin (<italic>ACTB</italic>). The primer sequences were synthesized by Sangon Biotechnology Co., Ltd. <italic>COL4A1</italic>: forward 5&#x2032; -GGGATGCTGTTGAAAGGTGAA-3&#x2032;, reverse 5&#x2032; -GGTGGTCCGGTAAATCCTGG-3&#x2032;; <italic>SPP1</italic>: forward 5&#x2032; -CTCCATTGACTCGAACGACTC-3&#x2032;, reverse 5&#x2032; -CAGGTCTGCGAAACTTCTTAGAT-3&#x2032;; <italic>ACTB</italic>: forward 5&#x2032; - GCCGACAGGATGCAGAAGGAGATCA-3&#x2032;, reverse 5&#x2032; - AAGCATTTGCGGTGGACGATGGA-3&#x2032;. The fold change of the gene expression was calculated using the change in cycle threshold value method (&#x394;&#x394;Ct).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Immunohistochemistry and Alcian blue staining</title>
<p>Paraffin sections were technically supported by Wuhan Servicebio Technology Co., Ltd. (China). Human endometrial or decidua samples were incubated with rabbit anti-human COL4A1 antibody (1:1000; Abcam, ab308360) or rabbit anti-human OPN antibody (1:1000; Abcam, ab214150) overnight at 4&#xb0;C in a humid chamber. After washing three times with TBS (Beyotime, ST661), the sections were incubated and the signal was visualized with GTvision TMIII Immunohistochemical Detection Kit (Gene Tech, GK500710). The sections were counterstained with hematoxylin (Well Biotech, WH2013).</p>
<p>To detect the distribution of hyaluronic acid, de-waxed endometrial or decidua sample sections were incubated with Digestion Solution or Negative Solution at 37&#xb0;C for 3 hours according to Hyaluronic Acid Stain Kit (Solarbio, G3710). After rinsed with running water for 5min, the sections were stained with Alican Stain Solution.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Enzyme linked immunosorbent assay</title>
<p>Primary ESCs and DSCs were cultured in 24-well plate with a density of 1 &#xd7; 10<sup>5</sup> cells for 24 hours and then the culture supernatant of ESCs or DSCs was harvested. The levels of COL4A1, OPN and HA of cell culture supernatant were detected by Human COL4A1 ELISA Kit (ELK Biotechnology, ELK2838), Human OPN ELISA Kit (ELK Biotechnology, ELK10182) and Human HA ELISA Kit (ELK Biotechnology, ELK10906) according to the standard directions.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Flow cytometry assay</title>
<p>EICs and dM&#x3c6; were collected to detect the expression of CD45 (PE/CY5 anti-human CD45 antibody; BioLegend, 982324), CD14 (PE-CY7 anti-human CD14 antibody; BioLegend, 982510), CD16 (APC-CY7 anti-human CD16 antibody; BioLegend, 360710), polarization markers (PE anti-human CD86 antibody, BioLegend, 374206; PE anti-human CD209 antibody, BioLegend, 330108; APC anti-human HLA-DR antibody, BioLegend, 307610; FITC anti-IDO antibody, eBioscience, 11-9473-82) and adhesion markers (BV510 anti- CD49a antibody, BD Biosciences, 755208; FITC anti-human CD44 Antibody, BioLegend, 397518; FITC anti-LYVE1 antibody, eBioscience, 53-0443-82; APC anti-human Integrin &#x3b1;V&#x3b2;3 antibody, BioLegend, 304416). DICs from normal pregnant women and women with RM were isolated to detect the expression of CD45 (BV 421 anti-human CD45 Antibody, 368522), CD14 (PE-CY7 anti-human CD14 antibody; BioLegend, 982510), CD16 (BV785 anti-human CD16 antibody; BioLegend, 360734), CD86 (FITC anti-human CD86 antibody; BioLegend, 374204), CD206 (APC anti-human CD206 antibody; BioLegend, 321110) and CD209 (PerCP/Cyanine5.5 anti-human CD209 antibody; BioLegend, 330110). CD16 (APC-CY7 anti-human CD16 antibody; BioLegend, 360710), CD86 (PE anti-human CD86 antibody, BioLegend, 374206), CD206 (APC anti-human CD206 antibody; BioLegend, 321110), CD209 (PerCP/Cyanine5.5 anti-human CD209 antibody; BioLegend, 330110) of M2&#x3c6; treated with exogenous COL4A1, OPN or HA and collected from different co-culture system were also analyzed by flow cytometry assays. Flow cytometry was performed using a Beckman CytoFLEX S flow cytometer (Beckman) equipped with Becton CytExpert software. Data analysis was conducted using FlowJo V10 software.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>The results were representatives of multiple experiments. All analyses were conducted by SPSS 25 (IBM). Normally distributed data with uniform variance were analyzed by a t test between two groups or one-way ANOVA test among multiple groups. Data were presented as mean &#xb1; standard error (SEM). P &lt; 0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Decidualization is accompanied by active ECM organization</title>
<p>Based on our single-cell sequencing data (<xref ref-type="bibr" rid="B15">15</xref>), stromal cells constituted the largest cellular component in both endometrial and decidual tissues (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Compared to other cell populations, genes associated with ECM-receptor interaction were highly enriched in stromal cells (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). We performed data analysis on differentially genes in endometrial stromal cells (ESCs) and DSCs (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). As showed in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>, GO enrichment analysis was performed using the R package to obtain information about biological process (BP), cellular component (CC), and molecular function (MF). Compared with ESCs, ECM-related pathways were significantly enriched in DSCs, such as ECM organization, collagen-containing ECM and ECM constituent conferring. In DSCs, genes associated with ECM organization and remodeling were generally significantly overexpressed (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>), suggesting that the matrix undergoes profound changes during decidualization. Since collagen, hyaluronic acid (HA), and osteopontin (OPN) have been reported in previous studies to be important ECM components regulating the immune state at the maternal-fetal interface (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B18">18</xref>), we focused on detecting and validating their expression in the decidua and endometrium. Combined with scRNA sequencing results, including alterations in ECM-related genes during decidualization and insights from cell communication signal analysis we observed subsequently (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>), we confirmed through Immunohistochemical or Alcian blue staining analysis that the levels of type IV collagen (COL4A1), osteopontin (OPN), and hyaluronic acid (HA) in normal early pregnancy decidua were significantly higher than those in secretory phase endometrium (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A-C</bold></xref>). To further confirm that they can be synthesized from DSCs and transferred to the matrix to exert regulatory functions, we supplemented the study with ELISA assays (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>). Compared to ESCs, higher levels of COL4A1, OPN, and HA were detected in the culture supernatants of DSCs, which may play a crucial regulatory role in cell-to-cell communication within the matrix in decidualization.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Decidualization is accompanied by active ECM organization. <bold>(A)</bold> Cell type identification of single cells from endometrium (n=3) and decidua (n=3) samples plotted in UMAP (3D) coordinates by scRNA-seq. <bold>(B)</bold> Enrichment geneset list in QUsage analysis of stromal cell population from <bold>(A)</bold>. <bold>(C)</bold> Presentation of stromal cells from endometrium (n=3) or decidua (n=3) in UMAP (3D) plot by scRNA-seq. <bold>(D)</bold> GO analysis of different genes in scRNA-seq database between DSCs and ESCs (CC: Cellular Component; BP: Biological Process; MF: Molecular Function). <bold>(E)</bold> Expression of ECM-related genes of DSCs and ESCs in Violin plots from scRNA-seq database.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a 3D scatter plot of cell types in endometrium and decidua, highlighting T cells, NK cells, macrophages, endothelial, epithelial, and stromal cells. Panel B presents a density plot of gene set activity in stromal cells, emphasizing ECM-receptor interaction. Panel C depicts a 3D scatter plot differentiating stromal cells in endometrium and decidua. Panel D features bar graphs of gene ontology (GO) analysis highlighting biological processes, cellular components, and molecular functions, with a focus on extracellular matrix. Panel E displays differentially expressed genes (DEGs) between DSC and ESC with expression levels for various genes.</alt-text>
</graphic></fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Cross-talk between stroma and macrophages via ECM-adhesion molecules is active. <bold>(A)</bold> Cell interaction analysis of different cell populations including endothelial cells, epithelial cells, macrophages, NK cells, stromal cells and T cells in decidua (n=3) from scRNA-seq database. <bold>(B)</bold> Pathways enrichment of ligands from decidual stroma cells (left) and receptors from decidual macrophages (right) in KEGG pathway analysis from scRNA-seq database. <bold>(C)</bold> Enrichment geneset list in QUsage analysis of decidual macrophage population from scRNA-seq database. <bold>(D)</bold> Expression of genes of adhesion molecules from different immune cells in endometrium (Ctrl, n=3) or decidua (NP, n=3) in QUsage analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g002.tif">
<alt-text content-type="machine-generated">The image consists of four panels analyzing pathway enrichments and gene set activities in cells. Panel A is a heatmap showing interactions between different cell types in the decidua, with color intensity indicating interaction strength. Panel B displays two dot plots of pathway enrichment for ligands from decidual stromal cells and receptors from decidual macrophages, with dot size representing gene number and color denoting P-value. Panel C is a density plot showing gene set activities in decidual macrophages, highlighting cell adhesion molecules. Panel D is another density plot comparing gene set activities across different cell types, focusing on cell adhesion molecules.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The decidua is rich in COL4A1, OPN and HA. <bold>(A, B)</bold> Compared the expression of COL4A1 <bold>(A)</bold> and OPN <bold>(B)</bold> in endometrium (n=5) and decidua (n=5) by Immunohistochemistry. Scale bar, 100 &#x3bc;m and 50 &#x3bc;m. <bold>(C)</bold> Compared the expression of HA in endometrium (n=8) and decidua (n=8) by Alcian blue staining assays. Scale bar, 100 &#x3bc;m. <bold>(D)</bold> The levels of COL4A1, OPN and HA from the culture supernatant of DSCs (n=6) or ESCs (n=6) were evaluated by ELISA. The data are presented as the mean &#xb1; SEM; two-tailed Student&#x2019;s <italic>t</italic>-test; **<italic>P</italic> &lt; 0.01, ****<italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g003.tif">
<alt-text content-type="machine-generated">Histological analysis of endometrium and decidua. Panels A, B, and C show staining for COL4A1, OPN, and HA respectively, with isotype controls. Magnified views are labeled &#xd7;100 and &#xd7;200. Bar graphs depict increased % area in decidua compared to endometrium for each marker, indicated by asterisks for statistical significance. Panel D shows bar graphs of COL4A1, OPN, and HA concentration in ESC and DSC, all significantly higher in DSC.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>DSCs and dM&#x3c6; communicate via ECM-adhesion molecule interactions</title>
<p>In single-cell sequencing analysis of cell-cell communication pathways, over 100 interaction pathways were identified between as ligands on DSCs and receptors on dM&#x3c6; (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Then, we performed enrichment analysis on genes associated with ligands and receptors (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). Genes about ECM receptor interaction were significantly enriched in ligands from DSC, while cell adhesion molecule-related genes were significantly enriched in receptors from dM&#x3c6; (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). This result suggested that cross-talk between decidua and macrophages might occur via ECM-adhesion molecules. Furthermore, we identified a high expression of cell adhesion molecules in macrophages through gene set activity clustering analysis, consistent with their characteristics as tissue-resident macrophages (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). Compared to endometrial macrophages (eM&#x3c6;; Macrophge_Ctrl), dM&#x3c6; (Macrophage_NP) exhibited higher expression levels of adhesion molecules, which may participate in interactions between DSCs (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>CD16<sup>+</sup> M&#x3c6; exhibits a high proportion with immunoregulatory phenotype in decidua</title>
<p>Through single-cell sequencing analysis (<xref ref-type="bibr" rid="B15">15</xref>), we have discovered that <italic>FCGR3A</italic> (gene encoding CD16) was primarily expressed in macrophages in both endometrium (Macrophge_Ctrl) and decidua (Macrophage_NP) in the UMAP visualization (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Compared with eM&#x3c6; (Macrophge_Ctrl), there was an upward trend in <italic>FCGR3A</italic> expression in dM&#x3c6; (Macrophage_NP) in the violin analysis diagram (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). Confirmed by flow cytometry, CD16 expression on CD45<sup>+</sup>CD14<sup>+</sup> dM&#x3c6; was significantly higher than on CD45<sup>+</sup>CD14<sup>+</sup> eM&#x3c6; (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). We then detected the polarized molecules in CD45<sup>+</sup>CD14<sup>+</sup>CD16<sup>-</sup> dM&#x3c6; and CD45<sup>+</sup>CD14<sup>+</sup>CD16<sup>+</sup> dM&#x3c6; by flow cytometry assays. CD16<sup>+</sup> dM&#x3c6; exhibited an immunoregulatory phenotype, characterized by higher expression of CD209 and IDO, along with lower levels of CD86 and HLA-DR compared to CD16<sup>-</sup> dM&#x3c6; (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4D</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>CD16<sup>+</sup> macrophages constitute a high proportion in decidua with an immunoregulatory phenotype. <bold>(A)</bold> Expression of <italic>FCGR3A</italic> in immune cells from endometrium (Ctrl, n=3) or decidua (NP, n=3) in UMAP plots of scRNA-seq analysis. And the violin plots is shown in <bold>(B)</bold>. <bold>(C)</bold> Levels of CD16 in CD45<sup>+</sup>CD14<sup>+</sup> macrophages from endometrium (n=10) or decidua (n=10) detected by flow cytometry assays. <bold>(D)</bold> Expression of CD86, HLA-DR, CD209 and CD206 in CD14<sup>+</sup>CD16<sup>+</sup> or CD14<sup>+</sup>CD16<sup>-</sup> dM&#x3c6; (n=9) in flow cytometry assays. The data are presented as the mean &#xb1; SEM; two-tailed Student&#x2019;s <italic>t</italic>-test; *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g004.tif">
<alt-text content-type="machine-generated">Panel A displays a UMAP plot differentiating between macrophage and other immune cell types using FCGR3A expression levels. Panel B shows a violin plot comparing FCGR3A expression in various cell types. Panel C presents flow cytometry plots of CD14 and CD16 expression in endometrial and decidual macrophages, with a bar graph indicating higher CD16+ expression in decidua. Panel D includes histograms and bar graphs showing percentages of CD86, HLA-DR, CD209, and IDO expression in CD16- and CD16+ decidual macrophages, with statistical significance noted.</alt-text>
</graphic></fig>
<p>Specifically, we found in flow cytometry that CD45<sup>+</sup> CD14<sup>+</sup>CD16<sup>+</sup> M&#x3c6; in both endometrium (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>) and decidua (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>) exhibited higher expression of adhesion molecules compared with CD45<sup>+</sup> CD14<sup>+</sup>CD16<sup>-</sup> M&#x3c6;, suggesting a tendency toward tissue residency. Here, we focused on detecting CD49a (collagen IV receptor), CD44 and LVYE1 (HA receptor), and integrin &#x3b1;V&#x3b2;3 (OPN receptor), whose expression levels in CD16<sup>+</sup> dM&#x3c6; were significantly higher than in CD16<sup>-</sup> dM&#x3c6; (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). This suggests that ECM derived from the decidua may exert regulatory effects of CD16<sup>+</sup> M&#x3c6; via these adhesion molecules.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>CD16<sup>+</sup> macrophages from endometrium and decidua exhibit higher levels of adhesion molecules. <bold>(A)</bold> Expression of CD49a, CD44 and LYVE1 in CD45<sup>+</sup>CD14<sup>+</sup>CD16<sup>+</sup> or CD45<sup>+</sup>CD14<sup>+</sup>CD16<sup>-</sup> eM&#x3c6; (n=12) in flow cytometry assays. <bold>(B)</bold> Expression of CD49a, CD44, LYVE1 and Integrin &#x3b1;V&#x3b2;3 in CD14<sup>+</sup>CD16<sup>+</sup> or CD14<sup>+</sup>CD16<sup>-</sup> dM&#x3c6; (n=11) in flow cytometry assays. The data are presented as the mean &#xb1; SEM; two-tailed Student&#x2019;s <italic>t</italic>-test; *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001, ns.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g005.tif">
<alt-text content-type="machine-generated">Flow cytometry graphs and bar charts illustrate CD49a, CD44, and LYVE1 expression in endometrial macrophages (panel A) and decidual macrophages (panel B), comparing CD16-negative and CD16-positive groups. CD16-positive cells consistently show higher expression levels. Statistical significance is denoted by asterisks.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>COL4A1, OPN and HA derived from DSC promote the development of CD16<sup>+</sup> dM&#x3c6;</title>
<p>U937 cells were induced into dM&#x3c6;-like macrophages using the previously mentioned method (<xref ref-type="bibr" rid="B17">17</xref>). Exogenous COL4A1 (10 ug/mL) and OPN (1 ug/mL) for 48 hours promoted CD16 expression on dM&#x3c6;-like macrophages (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>) in flow cytometry assays. As shown in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>, the higher levels of receptors of COL4A1 and OPN were detected on CD16<sup>+</sup> M&#x3c6;. The regulatory effects of COL4A1 and OPN on the polarized molecules in CD16<sup>+</sup> M&#x3c6; were more pronounced in <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>. Specifically, COL4A1 (10 ug/mL) and OPN (1 ug/mL) for 48 hours significantly downregulated CD86 expression on CD16<sup>+</sup> M&#x3c6; while upregulating CD206 or CD209 expression on them. However, this effect was not significant on CD16<sup>-</sup> M&#x3c6;. We then treated dM&#x3c6;-like macrophages with high molecular weight HA at different concentrations (0, 50, 100&#x3bc;M) for 48 hours. In the high-concentration HA treatment group (100&#x3bc;M), the proportion of CD16<sup>+</sup> macrophages highly expressing CD206 and CD209 significantly increased by flow cytometry (<xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6C, D</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Exogenous COL4A1, OPN and HA promote development of immunomodulatory CD16<sup>+</sup> M&#x3c6;. <bold>(A, B)</bold> After 48 hours of stimulation with exogenous COL4A1 (10 ug/mL), OPN (1 ug/mL) or vehicles, the expression levels of CD16 on U937-induced M&#x3c6; (<bold>A</bold>; n=5) and the polarization-related molecules CD86, CD209 and CD206 on CD16<sup>-</sup> or CD16<sup>+</sup> M&#x3c6; (<bold>B</bold>; n=5) were detected by flow cytometry. <bold>(C, D)</bold> After 48 hours of stimulation with exogenous HA (0, 50, 100 &#x3bc;M), the expression levels of CD16 on U937-induced M&#x3c6; (<bold>C</bold>; n=4) and CD86, CD209 and CD206 on CD16<sup>-</sup> or CD16<sup>+</sup> M&#x3c6; (<bold>D</bold>; n=4) were detected by flow cytometry. The data are presented as the mean &#xb1; SEM; oneway ANOVA test or two-tailed Student&#x2019;s t-test; *P &lt; 0.05, **P &lt; 0.01, ****P&lt; 0.0001, NS, no significant difference.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g006.tif">
<alt-text content-type="machine-generated">Flow cytometry analysis depicting macrophage markers. Panel A shows scatter plots of CD16 vs. CD14 for control, Collagen IV, and OPN treatments, with a bar graph indicating significant increases in CD16 positive macrophages for Collagen IV and OPN. Panel B presents bar graphs showing percentage markers CD86, CD209, and CD206 macrophages with various statistical significances noted. Panel C illustrates scatter plots of CD16 vs. SSC for control, 50 micromolar, and 100 micromolar HA, with a bar graph for CD16 positive macrophages showing significant increase at 100 micromolar HA. Panel D displays bar graphs of CD86 percentage, and mean fluorescence intensity of CD209 and CD206, with several statistically significant differences marked.</alt-text>
</graphic></fig>
<p>Subsequently, we further validated this result by a co-culture system. Following co-culture with si<italic>COL4A1</italic> or si<italic>SPP1</italic> DSCs (gene knockout efficiency was validated by RT-qPCR in <xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7A</bold></xref>) for 48 hours, the proportion of CD16<sup>+</sup> macrophages from the co-culture system significantly decreased (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7B, C</bold></xref>), accompanied by upregulation of CD86 and downregulation of CD206 or CD209 (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7D</bold></xref>) assessed by flow cytometry. Similarly, when HA synthesis was inhibited by 4-MU (500 &#x3bc;M for 48 hours) in DSCs, CD16 expression on macrophages in the co-culture system was suppressed (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7E</bold></xref>), leading to pro-inflammatory differentiation characterized by higher expression of CD86 and lower expression of CD206 and CD209 (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7F</bold></xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>CD16<sup>+</sup> M&#x3c6; in the co-culture system are suppressed with the inhibition of COL4A1, OPN and HA in DSCs. <bold>(A)</bold> DSCs were transfected by plasmid of siRNA targeting COL4A1 (si<italic>COL4A1</italic>; n=3), SPP1 (si<italic>SPP1</italic>; n=3) or control plasmids (n=3) for 72 hours and the efficacy was verified by RT-qPCR. <bold>(B-D)</bold> After co-cultured with <italic>COL4A1</italic>-silenced DSCs, <italic>SPP1</italic>-silenced DSCs or control DSCs for 48 hours, CD16 expression of U937-induced M&#x3c6; (<bold>B, C</bold>; n=4) and the polarization markers (CD86, CD209 and CD206) of CD16<sup>-</sup> or CD16<sup>+</sup> macrophages (<bold>D</bold>; n=4) were explored by flow cytometry. <bold>(E, F)</bold> After co-cultured with 4-MU (a hyaluronic Acid synthesis inhibitor, 500 &#x3bc;M) or vehicle treated DSCs for 48 hours, CD16 expression of U937-induced M&#x3c6; (<bold>E</bold>; n=6) and the polarization markers of CD16<sup>-</sup> or CD16<sup>+</sup> macrophages (<bold>F</bold>; n=6) were explored by flow cytometry. The data are presented as the mean &#xb1; SEM; oneway ANOVA test or two-tailed Student&#x2019;s <italic>t</italic>-test; *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001, ns, NS significant difference.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g007.tif">
<alt-text content-type="machine-generated">Graphs and flow cytometry plots illustrate various analyses of macrophage phenotypes. Panel A shows bar graphs of relative expression of COL4A1 and SPP1 genes with significant differences noted. Panel B displays flow cytometry plots of CD16 expression. Panel C presents a bar graph of CD16+ macrophage percentages with significant differences. Panel D features bar graphs comparing CD86, CD209, and CD206 expression levels. Panel E includes flow cytometry plots and a bar graph showing CD16+ macrophage percentages with significant differences. Panel F displays bar graphs of CD86, CD209, and CD206 macrophage percentages with various significance levels.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Patients with recurrent miscarriage exhibit weakened interactions between DSCs and CD16<sup>+</sup> dM&#x3c6;</title>
<p>Dysfunction of the decidualized DSCs and abnormal expression of related genes correlate with adverse pregnancy outcomes, particularly early pregnancy failure (<xref ref-type="bibr" rid="B19">19</xref>). Specifically, abnormal interactions between DSCs and dM&#x3c6; also hinder the establishment and maintenance of normal pregnancy, leading to recurrent miscarriage (RM) and other complications (<xref ref-type="bibr" rid="B10">10</xref>). We then assessed the ECM synthesis of decidua and CD16 expression of dM&#x3c6; from RM patients to determine whether these alterations are associated with the disease.</p>
<p>In Immunohistochemical or Alcian blue staining experiments, we detected significantly reduced levels of target ECM components in the decidua of RM patients compared to the normal pregnancy group (NP), including COL4A1 (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8A</bold></xref>), OPN (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8B</bold></xref>), and HA (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8C</bold></xref>). Through flow cytometry, we found that RM patients exhibited reduced CD16 expression in CD45<sup>+</sup>CD14<sup>+</sup> dM&#x3c6;, representing an immune-activated phenotype characterized by higher levels of CD86 and lower levels of CD206 and CD209 (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8D</bold></xref>). The above findings suggest that insufficient interaction between ECM-deficient DSCs and CD16<sup>+</sup> dM&#x3c6; may be associated with the occurrence of RM, which requires further exploration.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Patients RM exhibit weakened interactions between DSCs and CD16<sup>+</sup> dM&#x3c6;. <bold>(A)</bold> Compared the expression of COL4A1 in decidua from women with normal pregnancy (NP, n=8) or recurrent miscarriage (RM, n=8) by Immunohistochemistry. Scale bar, 50 &#x3bc;m. <bold>(B)</bold> Compared the expression of OPN in decidua from women with NP (n=10) or RM (n=10) by Immunohistochemistry. Scale bar, 50 &#x3bc;m. <bold>(C)</bold> Compared the expression of HA in decidua from women with NP (n=8) or RM (n=8) by Alcian blue staining assays. Scale bar, 50 &#x3bc;m. <bold>(D)</bold> Levels of CD16, CD86, CD206 and CD209 in CD45<sup>+</sup>CD14<sup>+</sup> dM&#x3c6; from women with NP (n=7) or RM (n=7) by flow cytometry assays. The data are presented as the mean &#xb1; SEM; two-tailed Student&#x2019;s <italic>t</italic>-test; *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1747323-g008.tif">
<alt-text content-type="machine-generated">Panel A shows COL4A1 staining with isotype, NP, and RM groups, with NP having the highest percentage area. Panel B depicts OPN staining, showing more intense staining in NP than RM. Panel C illustrates HA staining, with NP again having a higher percentage area. Panel D presents flow cytometry plots for CD markers in NP and RM groups, with bar graphs indicating significant differences in CD16, CD86, CD206, and CD209 expression levels. Statistical significance is indicated with asterisks.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>For a long time, ECM was overlooked as an inert scaffold. It is now recognized as a highly dynamic partner of the immune system. Its rich protein components and immunologically active molecules also play an indispensable role in immune regulation under both homeostatic and pathological conditions. Conversely, the immune system maintains the homeostasis of the microenvironment within the matrix and restores its integrity following injury (<xref ref-type="bibr" rid="B20">20</xref>). From a reproductive immunology perspective, previous studies have demonstrated that ECM at the maternal-fetal interface may support pregnancy by exerting immunoregulatory effects (<xref ref-type="bibr" rid="B3">3</xref>). Here, our study further confirmed the regulatory role of the ECM in decidual immunity. We proposed multiple ECM components as bridges facilitating communication between DSCs and dM&#x3c6;. COL4A1, OPN and HA derived from DSCs positively regulate the development of CD16<sup>+</sup> M&#x3c6; in decidua and maintain their regulatory phenotype.</p>
<p>Most reports have demonstrated that dM&#x3c6; with specific phenotypes play a pivotal role in regulating the decidual microenvironment (<xref ref-type="bibr" rid="B8">8</xref>). Here, we have confirmed the presence of CD16<sup>+</sup> M&#x3c6; in decidua through single-cell sequencing analysis and flow cytometry, consistent with previous report (<xref ref-type="bibr" rid="B21">21</xref>). The phenotype of tissue-resident macrophages is subject to multifaceted regulation by their surrounding environment. ESCs significantly promoted CD16<sup>+</sup>CD14<sup>hi</sup> macrophages with an immunoregulatory phenotype in peritoneal during ovarian endometriosis (<xref ref-type="bibr" rid="B22">22</xref>). In pregnancy, trophoblast induces monocytes differentiation into CD14<sup>high</sup>/CD16<sup>high</sup> macrophages expressing immunoregulatory genes representative of an M2-like macrophage (<xref ref-type="bibr" rid="B21">21</xref>). In the current study, DSCs emerge as the key regulator of CD16<sup>+</sup> dM&#x3c6;, promoting the differentiation and development of M2-polarized CD16<sup>+</sup> M&#x3c6; through ECM-adhesion molecule interactions. CD16<sup>+</sup> M&#x3c6; highly express adhesion molecules in both endometrium and decidua, while the proportion of CD16<sup>+</sup> dM&#x3c6; is significantly higher than that of CD16<sup>+</sup> eM&#x3c6;. This suggests that CD16<sup>+</sup> dM&#x3c6; may originate partly from the endometrial resident population and partly from peripheral monocytes, with the latter being differentiated by the action of DSCs and trophoblasts before becoming locally retained in decidua.</p>
<p>Collagen at the maternal fetal interface produced by trophoblast and DSC promotes immune tolerance of DICs (<xref ref-type="bibr" rid="B3">3</xref>). Collagen IV, one of the major components of basal membranes, is selectively upregulated during the menstrual cycle and decidualization, when its deposition increases around the spiral arteries, highlighting its role in decidual vascular remodeling (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Lv et&#xa0;al. observed that collagen VI within the nerve conduit could induce polarized macrophage toward the M2 phenotype, and then promote nerve regeneration and functional recovery (<xref ref-type="bibr" rid="B25">25</xref>). Our study further reveals the regulatory role of collagen IV on dM&#x3c6;. We found that COL4A1 derived from DSCs can promote the development of CD16<sup>+</sup> immunoregulatory dM&#x3c6; by binding to receptors on dM&#x3c6;, such as CD49a.</p>
<p>OPN (also known as secreted phosphoprotein 1/SPP1), which can be found in ECM and binds integrins to mediate cell-cell and cell-ECM communication to promote cell adhesion, migration, and differentiation. OPN expression is upregulated in the endometrium and has received considerable interest as a key player during implantation and placentation (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Progesterone induces and the conceptus further stimulates OPN in uterine glands and stroma (<xref ref-type="bibr" rid="B28">28</xref>). OPN promotes M2 polarization of macrophages through the JAK2/STAT3 signaling pathway (<xref ref-type="bibr" rid="B29">29</xref>). Similarly, we found that at the maternal-fetal interface during early pregnancy, OPN derived from DSCs can also promote the differentiation of CD16<sup>+</sup> dM&#x3c6; toward an immunoregulatory phenotype via its receptor integrin &#x3b1;V&#x3b2;3. The underlying mechanism may be associated with the JAK2/STAT3 signaling pathway, which warrants further investigation.</p>
<p>Research findings on the role of HA in normal pregnancy are frequently reported. HA is involved in the natural selection of human embryos at implantation (<xref ref-type="bibr" rid="B30">30</xref>). HA at maternal fetal interface promotes the invasion and proliferation of Tros as well as the growth of decidual stromal cells (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). It was demonstrated that low-fitness embryos secrete high molecular weight hyaluronic acid (HMWHA), which, upon binding to CD44 on uNK cells, blocks the targeting and elimination of stressed/senescent cells (<xref ref-type="bibr" rid="B30">30</xref>). Higher secretion of HA by Tros could induce M2 polarization of dM&#x3c6; by interacting with CD44 (<xref ref-type="bibr" rid="B13">13</xref>). When treating macrophages with different concentrations of hyaluronic acid, results showed that high concentrations of HA promote the M2-like phenotype of CD16<sup>+</sup> macrophages. The primary mechanism involves the interaction of HA from DCS and high-level receptors on CD16<sup>+</sup> dM&#x3c6;, including CD44 and LVYE1. The specific molecular mechanisms require further investigation. These results enrich greatly the theoretical understanding of the regulatory mechanisms of maternal-fetal interface HA on dM&#x3c6;.</p>
<p>The ECM and immune cells are mutually dependent, and exploring their intricate relationship holds promise for treating diseases and promoting healthy aging (<xref ref-type="bibr" rid="B20">20</xref>). A better understanding of the immune-regulatory mechanisms driven by ECM molecules would also be crucial considering that stromal remodeling represents a world to be explored for the identification of novel molecular markers for infertility and pregnancy diseases (<xref ref-type="bibr" rid="B2">2</xref>). ECM remodeling may be investigated as a therapeutic target for infertility and pregnancy disorders. A human ECM containing angiogenic and immunoregulatory cytokines is shown to induce <italic>in vitro</italic> and <italic>in vivo</italic> angiogenesis within engineered biomaterials while inhibiting implant fibrosis (<xref ref-type="bibr" rid="B33">33</xref>). The injection of HA during the embryo transfer is nowadays explored as a strategy to improve embryo implantation in IVF cycles (<xref ref-type="bibr" rid="B34">34</xref>). Similarly, further development and exploration of therapeutic strategies based on ECM-receptor-mediated stroma-immune interactions for regulating pregnancy-related disorders, such as unexplained recurrent miscarriage or implantation failure, holds promise as novel treatment approaches.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Ethics Committee of The International Peace Maternity and Child Health Hospital of Shanghai Jiao Tong University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>H-LY: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Investigation, Funding acquisition, Visualization, Validation, Methodology, Formal Analysis, Data curation. J-WS: Validation, Writing &#x2013; review &amp; editing, Investigation, Writing &#x2013; original draft, Funding acquisition, Visualization. Z-ZL: Funding acquisition, Formal Analysis, Investigation, Writing &#x2013; review &amp; editing. XL: Investigation, Writing &#x2013; review &amp; editing. C-JG: Formal Analysis, Investigation, Writing &#x2013; review &amp; editing. Z-MZ: Investigation, Writing &#x2013; review &amp; editing, Visualization. H-BZ: Project administration, Investigation, Writing &#x2013; review &amp; editing, Funding acquisition. J-FY: Investigation, Writing &#x2013; review &amp; editing, Formal Analysis. LW: Resources, Supervision, Writing &#x2013; review &amp; editing, Validation, Data curation, Investigation, Writing &#x2013; original draft, Formal Analysis, Visualization. TP: Writing &#x2013; original draft, Validation, Data curation, Writing &#x2013; review &amp; editing, Investigation, Supervision, Visualization, Formal Analysis, Project administration. M-QL: Resources, Conceptualization, Writing &#x2013; original draft, Formal Analysis, Project administration, Funding acquisition, Methodology, Validation, Supervision, Visualization, Investigation, Data curation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all the participants in this study for providing sample support. Thank you to NovelBio Bio-Pharm Technology Co., Ltd. Singlecell dissociation for providing technical support in single-cell sequencing analysis.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/141417">Maria Laura Zenclussen</ext-link>, National Scientific and Technical Research Council (CONICET), Argentina</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/741660">Eva Andreuzzi</ext-link>, Institute for Maternal and Child Health Burlo Garofolo (IRCCS), Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/706612">Maria Angelica Miglino</ext-link>, Universidade de Mar&#xed;lia, Brazil</p></fn>
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