<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1062590</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Transcriptomic analysis reveals the potential crosstalk genes and immune relationship between IgA nephropathy and periodontitis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Xiaoli</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2030498"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Ziyi</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2180798"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Pengcheng</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2180944"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Zhiqiang</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2134379"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Zuomin</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/945600"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Stomatology, Beijing Chaoyang Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mitesh Dwivedi, Uka Tarsadia University, India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Devang Khambholja, Sardar Patel University, India; Pradeep Kumar, All India Institute of Medical Sciences, India; Guanglin He, Sichuan University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zuomin Wang, <email xlink:href="mailto:wzuomin@sina.cn">wzuomin@sina.cn</email>; Zhiqiang Liu, <email xlink:href="mailto:kokorora@sina.com">kokorora@sina.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1062590</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Gao, Guo, Wang, Liu and Wang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Gao, Guo, Wang, Liu and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>It is well known that periodontitis has an important impact on systemic diseases. The aim of this study was to investigate potential crosstalk genes, pathways and immune cells between periodontitis and IgA nephropathy (IgAN).</p>
</sec>
<sec>
<title>Methods</title>
<p>We downloaded periodontitis and IgAN data from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify shared genes. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the shared genes. Hub genes were further screened using least absolute shrinkage and selection operator (LASSO) regression, and a receiver operating characteristic (ROC) curve was drawn according to the screening results. Finally, single-sample GSEA (ssGSEA) was used to analyze the infiltration level of 28 immune cells in the expression profile and its relationship with shared hub genes.</p>
</sec>
<sec>
<title>Results</title>
<p>By taking the intersection of WGCNA important module genes and DEGs, we found that the <italic>SPAG4, CCDC69, KRT10, CXCL12, HPGD, CLDN20</italic> and <italic>CCL187</italic> genes were the most important cross-talk genes between periodontitis and IgAN. GO analysis showed that the shard genes were most significantly enriched in kinase regulator activity. The LASSO analysis results showed that two overlapping genes (<italic>CCDC69</italic> and <italic>CXCL12</italic>) were the optimal shared diagnostic biomarkers for periodontitis and IgAN. The immune infiltration results revealed that T cells and B cells play an important role in the pathogenesis of periodontitis and IgAN.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study is the first to use bioinformatics tools to explore the close genetic relationship between periodontitis and IgAN. The <italic>SPAG4, CCDC69, KRT10, CXCL12, HPGD, CLDN20</italic> and <italic>CCL187</italic> genes were the most important cross-talk genes between periodontitis and IgAN. T-cell and B-cell-driven immune responses may play an important role in the association between periodontitis and IgAN.</p>
</sec>
</abstract>
<kwd-group>
<kwd>periodontitis</kwd>
<kwd>IgA nephropathy</kwd>
<kwd>transcriptomic analysis</kwd>
<kwd>crosstalk genes</kwd>
<kwd>immune infiltration</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="10"/>
<word-count count="3916"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Periodontitis is a multifactorial chronic inflammatory disease associated with dysbiosis of the oral microbiota, and approximately 50% of adults suffer from this chronic disease (<xref ref-type="bibr" rid="B1">1</xref>), which is characterized by gingival inflammation and irreversible destruction of periodontal attachments (i.e., cementum, periodontal ligament, and alveolar bone). Recent advances suggest that periodontal disease initiation and propagation occur through dysbiosis of the commensal oral microbiota (dental plaque), which then interacts with the immune defenses of the host, leading to inflammation and disease (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>In recent decades, there has been interest in the possibility that the presence of periodontal disease may be a causative or aggravating factor in some systemic diseases (<xref ref-type="bibr" rid="B3">3</xref>). Three mechanisms currently support a link between periodontitis and systemic disease: metastatic infections, dissemination of bacterial toxins and immunological injury (<xref ref-type="bibr" rid="B3">3</xref>). The first two mechanisms suggest the transmission of bacteria and their bacterial products from the oral cavity to the systemic level. The third theory suggests that systemic damage is the result of an inflammatory cascade response that begins in the oral cavity.</p>
<p>IgA nephropathy (IgAN) is the most prevalent glomerular disease worldwide and is associated with a poor prognosis (<xref ref-type="bibr" rid="B4">4</xref>). The pathogenesis of IgAN is complex and may involve a variety of different pathways (<xref ref-type="bibr" rid="B5">5</xref>). Studies indicate that infection may play a major role in the pathogenesis of IgAN (<xref ref-type="bibr" rid="B6">6</xref>). It is well known that upper respiratory tract infections often worsen IgAN, particularly acute tonsils. IgAN is thought to be a tonsillion-related disease caused by a breakdown in the immune tolerance of the resident bacteria in the tonsil (<xref ref-type="bibr" rid="B7">7</xref>), and several bacterial species have been reported as antigens in the pathogenesis of IgAN (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Bacteria involved in chronic oral infections may be pathogenic candidates. Negasawa el. indicated that <italic>P. gingivalis</italic> (the main pathogenic bacteria of periodontitis) in tonsils was detected with significantly higher prevalence in IgAN patients than in habitual tonsillitis patients (<xref ref-type="bibr" rid="B11">11</xref>). Moreover, Misaki el al suggested that harboring <italic>C. rectus</italic> in the oral cavity could be associated with proteinuria in IgAN patients (<xref ref-type="bibr" rid="B12">12</xref>). The complete elimination of oral infection lesions can optimize the treatment effect of tonsillectomy plus methylprednisolone (MP) pulse therapy and promote the recovery of IgAN (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>At present, the relationship between periodontitis and IgAN requires further investigation, especially in terms of cellular and molecular mechanisms. With the rapid development of microarray and high-throughput sequencing technology, bioinformatics techniques are often used to study the crosstalk between diseases. In this study, we used bioinformatics methods to explore the potential crosstalk genes between periodontitis and IgAN and evaluated the interaction between these potential crosstalk genes and infiltrating immune cells to gain a deeper understanding of the pathophysiological processes that may link periodontitis and IgAN.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Data download</title>
<p>We obtained the gene expression of periodontitis and IgAN, which was downloaded from the GEO database. Datasets are available at <uri xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</uri> for more information. Based on the GPL570-55599 platform, the GSE16134 dataset contains 310 gingival papillae from 120 subjects undergoing periodontal surgery (241 &#x201c;diseased&#x201d;, 69 &#x201c;healthy&#x201d;). To estimate the diagnostic efficiency, the GSE10334 dataset based on GPL570-55599 was downloaded, containing 247 gingival papillae (183 &#x201c;diseased&#x201d; and 64 &#x201c;healthy&#x201d;) from 90 patients with periodontitis. Tissue samples were taken from patients with moderate to severe periodontitis and the criteria for selection of the samples were: &#x201c;Diseased&#x201d; sites showed bleeding on probing (BoP), had interproximal probing depth (PD)&#x2009;&#x2265;&#x2009;4 mm, and concomitant attachment loss (AL)&#x2009;&#x2265;&#x2009;3 mm; &#x201c;Healthy&#x201d; sites showed no BoP, had PD&#x2009;&#x2264;&#x2009;4 mm and AL&#x2009;&#x2264;&#x2009;2 mm.</p>
<p>Gene expression datasets investigating IgAN (GSE93798) were based on the GPL22945 platform and included 42 samples (20 IgAN patients and 22 healthy controls). Samples were taken from routine kidney biopsies, and biopsies from patients diagnosed with IgAN were singled out for further experiments, biopsies from healthy living kidney transplant donors were used as controls. To estimate the diagnostic efficiency, we also downloaded GSE73953 (based on the GPL4133 platform), containing 15 IgAN samples and 2 healthy controls. Those patients had been comprehensively diagnosed by kidney biopsy, medical history, and blood examinations. The detailed information for the samples included in this study is summarized in <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary file 1</bold>
</xref>.</p>
</sec>
<sec id="s2_2">
<title>Identification of DEGs</title>
<p>The original expression matrix was normalized and processed using R (4.0.4) software. The &#x201c;limma&#x201d; R package was used to screen the differentially expressed genes (DEGs) from the GSE16134 and GSE93798 datasets. The DEGs were screened for GSE16134 with an adjusted <italic>P</italic> value &lt; 0.05 and |log FC|&#x2009;&#x2265; 0.9, and the DEGs were screened for GSE93798 with an adjusted <italic>P</italic> value &lt; 0.05 and |log FC|&#x2009;&#x2265; 1. R software was used to draw a differential gene clustering heatmap and volcano map.</p>
</sec>
<sec id="s2_3">
<title>WGCNA network construction and module identification</title>
<p>WGCNA is a bioinformatics analysis method used to describe gene association patterns among different samples. It can cluster genes with similar expression patterns and analyse the association between modules and specific traits or phenotypes (<xref ref-type="bibr" rid="B14">14</xref>). The WGCNA R software package was used to construct the co-expression network. Genes with an adjusted <italic>P</italic> value &lt; 0.05 were included in the WGCNA. First, hierarchical clustering was performed using the standard R function &#x201c;Hculst&#x201d; to assess whether there were any obvious outliers. Second, to make the gene expression relationship conform to the scale-free network, the &#x201c;pickSoftThreshold&#x201d; function was used to select the appropriate soft thresholding power &#x3b2;. Third, the &#x201c;adjacency&#x201d; function was used to convert the gene expression similarity matrix into an adjacency matrix based on the soft-thresholding parameter &#x3b2;. Fourth, the adjacency matrix obtained in the previous step was transformed into a topological overlap matrix (TOM) to minimize the effects of noise and spurious associations. Finally, hierarchical clustering and the dynamic tree cut function were used to detect modules, and Pearson correlation was used to investigate the correlation between modules and clinical characteristics of patients (<italic>P</italic> &lt; 0.05).</p>
</sec>
<sec id="s2_4">
<title>Identification of shared genes and pathway enrichment</title>
<p>A combined analysis of the genes screened by WGCNA and DEGs was conducted by drawing Venn diagrams. Overlapping genes were considered core shared genes and were extracted for further functional enrichment analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the &#x201c;enrichplot&#x201d; and &#x201c;ggplot2&#x201d; packages in R. Statistical significance was set at <italic>P</italic> &lt; 0.05.</p>
</sec>
<sec id="s2_5">
<title>Feature selection by the least absolute shrinkage and selection operator</title>
<p>Lasso is a popular method for regression that uses an &#x2113;1 penalty to achieve a sparse solution (<xref ref-type="bibr" rid="B15">15</xref>). We used the &#x201c;glmnet&#x201d; language package in R to perform least absolute shrinkage and selection operator (LASSO) regression to screen the best predictors of periodontitis and IgAN in the above DEGs and intersection of WCGNA.</p>
</sec>
<sec id="s2_6">
<title>Candidate biomarker expression levels and diagnostic value</title>
<p>The R software ggplot2 package boxplots were used to assess the expression levels of the hub genes (<italic>P</italic> &lt; 0.05). The area under the curve (AUC) of receiver operating characteristic (ROC) was utilized to determine the effectiveness of potential biomarkers on the datasets (GSE16134, GSE93798, GSE10334 and GSE73963) using the pROC R package.</p>
</sec>
<sec id="s2_7">
<title>ssGSEA</title>
<p>ssGSEA was performed by the &#x201c;GSVA&#x201d; R package to analyse the infiltration of 28 immune cells in diseased and normal samples. To investigate the correlation between <italic>core genes</italic> and the abundances of infiltrating immune cells, <italic>p</italic> values were calculated based on Spearman&#x2019;s rank correlation tests (<italic>P</italic> &lt; 0.05).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Identification of DEGs</title>
<p>In the periodontitis dataset GSE16134, a total of 232 DEGs, consisting of 166 upregulated DEGs and 66 downregulated DEGs, were identified. In the IgAN dataset GSE93798, a total of 5,730 DEGs, consisting of 1,945 upregulated DEGs and 3,785 downregulated DEGs, were identified. The heatmaps (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>) demonstrated the top 15 DEGs of the two diseases, and the volcano maps (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>) were used to show the expression pattern of DEGs in both diseases. There were 34 overlapping differentially expressed genes between periodontitis and IgAN (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Identification of differentially expressed genes. <bold>(A)</bold> A heatmap of the top 30 DEGs in GSE16134. <bold>(B)</bold> A heatmap of the top 30 DEGs in GSE93798. <bold>(C)</bold> A volcano plot of DEGs in GSE16134. <bold>(D)</bold> A volcano plot of DEGs in GSE93798. Con: control; IgAN: IgA nephropathy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>WGCNA network construction and module identification</title>
<p>Outliers were checked by sample clustering, and no samples were removed in either GSE16134 or GSE93798 (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>). To ensure a scale-free network, we calculated the scale-free fit index and mean connectivity. The power of &#x3b2; = 6 was chosen for the soft thresholding for GSE16134, and the <italic>&#x3b2;</italic> value was 13 for GSE93798. We obtained 4 modules in the co-expression network constructed by periodontitis samples and 12 modules in the network constructed by IgAN samples (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, C</bold>
</xref>). To identify genes associated with the progression of diseases, we analysed the association between modules and clinical phenotypes. For periodontitis, the turquoise module had the strongest positive relation (r = 0.68, <italic>P</italic> &lt; 0.001), while the brown module had the strongest negative relation (r = -0.52, <italic>P</italic> &lt; 0.001) in the GSE16134 database. For IgAN, the blue module showed the strongest positive correlation (r = 0.95, P &lt; 0.001), and the brown module had the strongest negative correlation (r = -0.75, P &lt; 0.001) in the GSE93798 database. The intersection of the periodontitis and IgAN hub modules was drawn by a Venn diagram, and 56 intersection genes were obtained (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Identification of the shared genes. <bold>(A)</bold> Venn diagram shows that 56 genes overlap in the IgAN and periodontitis modules. <bold>(B)</bold> Venn diagram showing an overlap of 34 DEGs between IgAN and periodontitis. <bold>(C)</bold> Venn diagram showing that seven core genes were crossed and overlapped between the genes screened by WGCNA and DEGs. IgAN: IgA nephropathy; DEG: differentially expressed gene; WGCNA: weighted gene co-expression network analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Coexpression analysis for differentially expressed genes. <bold>(A)</bold> Sample dendrogram and trait heatmap in GSE16134. <bold>(B)</bold> Sample dendrogram and trait heatmap in GSE93798. <bold>(C)</bold> Heatmap of the module-trait relationships in GSE16134. <bold>(D)</bold> Heatmap of the module-trait relationships in GSE16134. Con: control; IgAN: IgA nephropathy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Identification of shared genes and pathway enrichment</title>
<p>Seven core genes (<italic>SPAG4, CCDC69, KRT10, CXCL12, HPGD, CLDN20, CCL18)</italic> were crossed and overlapped between the genes screened by WGCNA and DEGs, which are potential crosstalk genes between both diseases (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). GO and KEGG enrichment analyses were performed on the above 7 genes to explore the common regulatory pathways. The GO analysis showed that the shared genes might be related to kinase regulator activity, activin-activated receptor activity and type I transforming growth factor beta receptor binding (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The KEGG analysis showed that these genes might be mainly involved in colorectal cancer, platinum drug resistance, and pancreatic cancer (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Functional enrichment analyses of the shared genes. <bold>(A)</bold> GO analysis of the shared genes. <bold>(B)</bold> KEGG pathway enrichment analysis of the shared genes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Potential shared diagnostic genes selection by least absolute shrinkage and selection operator</title>
<p>Subsequently, a LASSO regression algorithm was performed to identify the potential shared diagnostic genes. In GSE16134, LASSO analysis identified six out of the seven core cross-genes under the most appropriate &#x3bb;=0.011 (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, C</bold>
</xref>). In GSE93798, LASSO analysis identified four out of the seven core cross-genes under the most appropriate &#x3bb;=0.011 (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5B, D</bold>
</xref>). Finally, two overlapping genes (<italic>CCDC69</italic> and <italic>CXCL12</italic>) were discovered to be the optimal shared diagnostic biomarkers for periodontitis and IgAN (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Identification of <italic>potential shared diagnostic genes</italic> by the LASSO regression model. <bold>(A)</bold> Tenfold cross-validation to select the optimal tuning parameter log (lambda) in the GSE16134 database. <bold>(B)</bold> Tenfold cross-validation to select the optimal tuning parameter log (lambda) in the GSE93798 database. <bold>(C)</bold> LASSO coefficient profiles of diagnostic genes in the GSE16134 database. <bold>(D)</bold> LASSO coefficient profiles of diagnostic genes in the GSE93798 database. <bold>(E)</bold> Venn diagram showing the optimal diagnostic biomarkers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Candidate biomarker expression levels and diagnostic value</title>
<p>
<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref> show the expression levels of the two candidate biomarkers. Both <italic>CCDC69</italic> and <italic>CXCL12</italic> were upregulated in periodontitis and IgAN. Furthermore, we evaluated the sensitivity and specificity of candidate biomarkers. In the GSE16134 dataset (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), these two biomarkers had good diagnostic value: <italic>CCDC68</italic> (AUC = 0.866) and <italic>CXCL12</italic> (AUC = 0.875). In the GSE93798 dataset (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>), <italic>CXCL12</italic> had a higher diagnostic value for IgAN (AUC = 0.759), while <italic>CCDC68</italic> had a near perfect diagnostic value (AUC = 0.966). We then performed external validation for the diagnostic efficacy of <italic>CCDC69</italic> and <italic>CXCL12</italic> in&#xa0;the periodontitis dataset GSE10034 and the IgAN dataset GSE73963, and all showed potent predictive performance (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6E, F</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Expression pattern validation and diagnostic value. <bold>(A)</bold> Expression of CXCL12 and CCDC69 in GSE16134. <bold>(B)</bold> Expression of CXCL12 and CCDC69 in GSE93798. <bold>(C)</bold> ROC curve of the shared diagnostic genes in GSE16134. <bold>(D)</bold> ROC curve of the shared diagnostic genes in GSE93798. <bold>(E)</bold> ROC curve of the shared diagnostic genes in GSE10334. <bold>(F)</bold> ROC curve of the shared diagnostic genes in GSE73953. Con: control; IgAN: IgA nephropathy. <italic>P</italic> &lt; 0.05; <sup>**</sup>
<italic>P</italic> &lt; 0.01; <sup>***</sup>
<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Immune cell infiltration and its correlation with candidate biomarkers</title>
<p>We further investigated the difference in immune cell infiltration in different samples. Twenty-eight types of immune cells in the GSE10334 samples were identified and are presented in the heatmap and violin plot (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A, B</bold>
</xref>). <xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A, B</bold>
</xref> show the distribution of 28 immune cells in the GSE93798 sample. We found that the infiltration of activated B cells, activated dendritic cells, immature B cells, MDSCs, macrophages, natural killer T cells, regulatory T cells, effector memory CD4 T cells, memory B cells, and central memory CD4<sup>+</sup> T cells increased more significantly in both periodontitis and IgAN samples. In addition, correlation analysis of immune cells with candidate biomarkers demonstrated that central memory CD4<sup>+</sup> T cells, MDSCs and immature B cells were positively correlated with <italic>CCDC69</italic> and CXCL12 in periodontitis samples and IgAN samples (<xref ref-type="fig" rid="f7">
<bold>Figures 7C</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8C</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Analysis of immune infiltration associated with periodontitis. Heat <bold>(A)</bold> and violin plot <bold>(B)</bold> showing the distribution of 28 immune cells in the GSE16134 sample. <bold>(C)</bold> The relationship between diagnostic genes and immune cell infiltration. Con, control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g007.tif"/>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Analysis of immune infiltration associated with IgAN. Heat <bold>(A)</bold> and violin plot <bold>(B)</bold> showing the distribution of 28 immune cells in the GSE93798 sample. <bold>(C)</bold> The relationship between diagnostic genes and immune cell infiltration. Con, control; IgAN, IgA nephropathy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1062590-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we integrated the transcriptomes of periodontitis and IgAN and used WGCNA for the first time to explore the common mechanism between the two, revealing potential crosstalk genes, shared pathways, and associated immune cells. By taking the intersection of WGCNA important module genes and DEGs, we found that the <italic>SPAG4, CCDC69, KRT10, CXCL12, HPGD, CLDN20</italic> and <italic>CCL187</italic> genes were the most important cross-talk genes between periodontitis and IgAN, and these genes may be related to kinase regulator activity. Finally, <italic>CXCL12</italic> and <italic>CCDC69</italic> were identified as diagnostic markers with good value. The immune infiltration results revealed that T cells and B cells play an important role both in the pathogenesis of periodontitis and IgAN.</p>
<p>The results of this study suggest that the core cross-talk genes between periodontitis and IgAN are associated with kinase regulator activity. Kinases are enzymes that catalyze the transfer of phosphate groups, usually from ATP to substrate molecules. Periodontal pathogens play a critical role in the development and progression of periodontitis. <italic>Porphyromonas gingivalis</italic> is a keystone pathogen of periodontitis, whose main virulence factors include gingipain proteases and peptidylarginine deiminase (PPAD), and the phosphorylation of virulence factors is crucial for their processing and secretion (<xref ref-type="bibr" rid="B16">16</xref>). In addition, <italic>&#x3b1;-hemolytic streptococcus</italic>, as one of the main bacterial groups in the oral cavity, can promote the expression of homeodomain-interacting protein kinase 2 (HIPK2) in tonsil lymphocytes, which may mediate IgA1 glycosylation (<xref ref-type="bibr" rid="B17">17</xref>). Thus, periodontal or oral pathogens induced kinase regulator activity may play an important role in the common pathophysiology of the two diseases.</p>
<p>In this study, the possible immune relationship between IgAN and periodontitis was preliminarily explored, and it was found that the immune pattern was significantly different in the periodontitis and IgAN groups compared to the control group, and B and T cells increased more significantly in both periodontitis and IgAN samples. Primary IgAN is characterized by IgA deposition in the mesangial region of the glomerulus (<xref ref-type="bibr" rid="B18">18</xref>). The subclass of IgA in this deposition is IgA1, which may be produced in the mucosal region of the upper respiratory tract, including the tonsils or mucosal tissues in the oral region (<xref ref-type="bibr" rid="B19">19</xref>). The tonsil parenchyma consists of lymphoid follicles dominated by B cells and T-cell-dependent interfollicular regions (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Tonsillar focal infection may elevate the generation of CD8 T cells and the aberration of immunoglobulin production (<xref ref-type="bibr" rid="B22">22</xref>). Recent studies have suggested that chronic oral bacterial infections, especially red complexes of periodontopathic bacterial species, may be involved in the pathogenesis of IgAN (<xref ref-type="bibr" rid="B11">11</xref>).A recent review article highlighted that in the crypt of the tonsil, macrophages/dendritic cells engulf antigens, such as oral bacteria, and present them to helper T cells; activated helper T cells stimulate and activate mature B cells in the tonsillar germinal center to produce Gd-IgA1, and then the produced Gd-IgA1 enters the systemic circulation through the lymphatic system and causes kidney injury (<xref ref-type="bibr" rid="B23">23</xref>).In addition to tonsils, chronic infection during periodontitis may also stimulate mature B-cell proliferation in mesenteric lymph nodes and lead to increased IgA secretion through mucosal immune response, thus promoting the occurrence and progression of IgAN (<xref ref-type="bibr" rid="B24">24</xref>). Furthermore, T cells and their cytokines are involved in posttranslational modification of IgA1 hinge region (<xref ref-type="bibr" rid="B25">25</xref>). Some studies have found that the periodontal pathogen <italic>porphyromonas gingivalis</italic> can alter T cell response (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, we speculated that periodontal infection might lead to abnormal IgA deposition through activation of T - and B-cell-mediated mucosal immunity.</p>
<p>In order to minimize the influence of overfitting and improve the quality of performance indicators, as many samples as possible should be selected for clinical biomarker discovery experiments (<xref ref-type="bibr" rid="B27">27</xref>). In our study, the GSE16134 dataset included a total of 198 gingival tissue samples and the GSE93798 dataset included 42 kidney tissue samples. The performance of a biomarker is often assessed using the area under the receiver operator curve (AUC). The value of AUC is between 0 and 1, and the higher the value, the better the overall performance of the test (<xref ref-type="bibr" rid="B28">28</xref>). In this study, ROC analysis found that the AUC of CXCL12 was 0.875 for predicting periodontitis and 0.759 for predicting IgAN, and the AUC of CCDC69 was 0.866 for predicting periodontitis and 0.966 for predicting IgAN. Therefore, both CXCL12 and CCDC69 have good predictive properties for periodontitis and IgAN.</p>
<p>As an important crosstalk gene between IgAN and periodontitis, <italic>CXCL12</italic> (CXC chemokine ligand 12) is a potent chemoattractant that belongs to the CXC chemokine family. Widely expressed in many tissues during development, it is a powerful chemoattractant of hematopoietic cells, which has been shown to promote their migration across the endothelial barrier (<xref ref-type="bibr" rid="B29">29</xref>). <italic>CXCL12</italic> levels increase during the development of periodontal disease and may recruit host defense cells to sites of inflammation, which may be involved in activating immune defense pathways during periodontal disease (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The following evidence suggests that it may be involved in the development and progression of IgAN mediated by periodontitis. It has been shown that GZMK CD8 memory T cells, mediated by <italic>CXCL12</italic>, have a prolonged residence time in the lytic region of neutrophils, which in turn can enhance antigen presentation (<xref ref-type="bibr" rid="B32">32</xref>). In some patients, <italic>CXCL12</italic> can directly trigger effector T cells and affect their own migratory activity by secreting IL-15, causing rejection (<xref ref-type="bibr" rid="B33">33</xref>). In an airway infection model established by <italic>Pseudomonas aeruginosa</italic>, <italic>CXCL12</italic> and <italic>HMGB1</italic> binding was found to strongly promote the activation of downstream immune cells (<xref ref-type="bibr" rid="B34">34</xref>). Decreased expression and activation levels of <italic>CXCL12</italic> were found in cyclosporin-immunosuppressed B cells as a mechanism for the treatment of autoimmune diseases by this class of drugs (<xref ref-type="bibr" rid="B35">35</xref>). Therefore, we assume that <italic>CXCL12</italic> may be involved in both pathologies by mediating processes such as post-infection T-cell activation in tonsils and mucosa, systemic migration of effector T cells, and secretion of B-cell-deficient IgA. In addition, it has been speculated that in IgAN patients, abnormal expression of chemokines and/or chemokine receptors causes IgA-producing cells destined for the secretory mucosal lamina propria to be mistakenly transferred to nonsecretory sites, such as the tonsil, bone marrow, and spleen (<xref ref-type="bibr" rid="B36">36</xref>). In IgAN, B cells may be involved in the production of galactose-deficient IgA1 (Gd-IgA1) and its antibodies (<xref ref-type="bibr" rid="B37">37</xref>), and the <italic>CXCL12-CXCR4</italic> axis is thought to be a major player in B-cell precursor homeostasis in the bone marrow (<xref ref-type="bibr" rid="B38">38</xref>). In summary, a potential role for chemokines in the interaction between periodontitis and IgAN seems likely, but further data are needed.</p>
<p>Our study found that <italic>CCDC69</italic> is also an important crosstalk gene between IgAN and periodontitis; however, there are currently few studies on <italic>CCDC69</italic>. Pal et&#xa0;al. noted that <italic>CCDC69</italic> acts as a scaffold to regulate the recruitment of midzone components and the assembly of the central spindle, which plays a crucial role in cell division (<xref ref-type="bibr" rid="B39">39</xref>). <italic>CCDC69</italic> is also involved in the immune response. The expression of <italic>CCDC69</italic> is positively correlated with immune cells (B cells, CD8+ cells, neutrophils, dendritic cells and lymphocytes) around the tumor, which can reflect the infiltration of immune cells (<xref ref-type="bibr" rid="B40">40</xref>). In this study, <italic>CCDC69</italic> and <italic>CXCL12</italic> had a significant positive correlation with central memory CD4<sup>+</sup> T cells and immature B cells in both periodontitis samples and IgAN samples. This will highlight the common pathophysiology at the immune level and may be a key factor in understanding the relationship between periodontitis and IgAN.</p>
<p>Our study has several strengths. We first used the comprehensive and complex bioinformatics analysis as a new approach to understand the association between the two diseases. LASSO regression algorithm was performed to identify the potential shared diagnostic genes. Validation of external datasets improves the accuracy of predictions. There are also some limitations in this study. Our finding relied on different patient cohorts and were not validated in the same individual. A model of the combination of periodontitis and IgAN needs to be established to verify the potential relationship between the two diseases in the future. In addition, data on age, sex, medication, and comorbidities of patients in the samples were not considered in this study, which may be reliable for the current results.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This study is the first to use bioinformatics tools to explore the close genetic relationship between periodontitis and IgA nephropathy. The <italic>SPAG4, CCDC69, KRT10, CXCL12, HPGD, CLDN20</italic> and <italic>CCL187</italic> genes were the most important cross-talk genes between periodontitis and IgAN. T-cell and B-cell-driven immune responses may play an important role in the association between periodontitis and IgAN.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XG conceived of the procedure for the research and wrote the manuscript. ZG and PW helped analyse the study data. ZL and ZW revised the draft. All authors read and approved the final manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China [grant no. 82170956 and no.81870763].</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors sincerely thank all relevant researchers for sharing and publishing the data.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2023.1062590/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1062590/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Eke</surname> <given-names>PI</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>L</given-names>
</name>
<name>
<surname>Borgnakke</surname> <given-names>WS</given-names>
</name>
<name>
<surname>Thornton-Evans</surname> <given-names>G</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Periodontitis prevalence in adults &gt;/= 65 years of age, in the USA</article-title>. <source>Periodontol 2000</source> (<year>2016</year>) <volume>72</volume>(<issue>1</issue>):<fpage>76</fpage>&#x2013;<lpage>95</lpage>. doi: <pub-id pub-id-type="doi">10.1111/prd.12145</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kinane</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Stathopoulou</surname> <given-names>PG</given-names>
</name>
<name>
<surname>Papapanou</surname> <given-names>PN</given-names>
</name>
</person-group>. <article-title>Periodontal diseases</article-title>. <source>Nat Rev Dis Primers</source> (<year>2017</year>) <volume>3</volume>:<fpage>17038</fpage>. doi: <pub-id pub-id-type="doi">10.1038/nrdp.2017.38</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Van Dyke</surname> <given-names>TE</given-names>
</name>
<name>
<surname>van Winkelhoff</surname> <given-names>AJ</given-names>
</name>
</person-group>. <article-title>Infection and inflammatory mechanisms</article-title>. <source>J Clin Periodontol</source> (<year>2013</year>) <volume>40 Suppl 14</volume>:<page-range>S1&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jcpe.12088</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Suzuki</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Biomarkers for IgA nephropathy on the basis of multi-hit pathogenesis</article-title>. <source>Clin Exp Nephrol</source> (<year>2019</year>) <volume>23</volume>(<issue>1</issue>):<fpage>26</fpage>&#x2013;<lpage>31</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10157-018-1582-2</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knoppova</surname> <given-names>B</given-names>
</name>
<name>
<surname>Reily</surname> <given-names>C</given-names>
</name>
<name>
<surname>King</surname> <given-names>RG</given-names>
</name>
<name>
<surname>Julian</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Novak</surname> <given-names>J</given-names>
</name>
<name>
<surname>Green</surname> <given-names>TJ</given-names>
</name>
</person-group>. <article-title>Pathogenesis of IgA nephropathy: Current understanding and implications for development of disease-specific treatment</article-title>. <source>J Clin Med</source> (<year>2021</year>) <volume>10</volume>(<issue>19</issue>):<fpage>4501</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm10194501</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rollino</surname> <given-names>C</given-names>
</name>
<name>
<surname>Vischini</surname> <given-names>G</given-names>
</name>
<name>
<surname>Coppo</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>IgA nephropathy and infections</article-title>. <source>J Nephrol</source> (<year>2016</year>) <volume>29</volume>(<issue>4</issue>):<page-range>463&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s40620-016-0265-x</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harabuchi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Takahara</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Recent advances in the immunological understanding of association between tonsil and immunoglobulin a nephropathy as a tonsil-induced autoimmune/inflammatory syndrome</article-title>. <source>Immun Inflammation Dis</source> (<year>2019</year>) <volume>7</volume>(<issue>2</issue>):<fpage>86</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1002/iid3.248</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>The influences of &#x3b1;-hemolytic streptococcus on class switching and complement activation of human tonsillar cells in IgA nephropathy</article-title>. <source>Immunol Res</source> (<year>2022</year>) <volume>70</volume>(<issue>1</issue>):<fpage>86</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12026-021-09223-2</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Satoskar</surname> <given-names>AA</given-names>
</name>
<name>
<surname>Shapiro</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Jones</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bott</surname> <given-names>C</given-names>
</name>
<name>
<surname>Parikh</surname> <given-names>SV</given-names>
</name>
<name>
<surname>Brodsky</surname> <given-names>SV</given-names>
</name>
<etal/>
</person-group>. <article-title>Differentiating staphylococcus infection-associated glomerulonephritis and primary IgA nephropathy: a mass spectrometry-based exploratory study</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>(<issue>1</issue>):<fpage>17179</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-73847-x</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>A</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>L</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Analysis of microbial changes in the tonsillar formalin-fixed paraffin-embedded tissue of Chinese patients with IgA nephropathy</article-title>. <source>Pathol Res Pract</source> (<year>2020</year>) <volume>216</volume>(<issue>11</issue>):<fpage>153174</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.prp.2020.153174</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nagasawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nomura</surname> <given-names>R</given-names>
</name>
<name>
<surname>Misaki</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ito</surname> <given-names>S</given-names>
</name>
<name>
<surname>Naka</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wato</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Relationship between IgA nephropathy and porphyromonas gingivalis; red complex of periodontopathic bacterial species</article-title>. <source>Int J Mol Sci</source> (<year>2021</year>) <volume>22</volume>(<issue>23</issue>):<fpage>13022</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms222313022</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Misaki</surname> <given-names>T</given-names>
</name>
<name>
<surname>Naka</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wato</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hatakeyama</surname> <given-names>R</given-names>
</name>
<name>
<surname>Nagasawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ito</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Campylobacter rectus in the oral cavity correlates with proteinuria in immunoglobulin a nephropathy patients</article-title>. <source>Nephron</source> (<year>2018</year>) <volume>139</volume>(<issue>2</issue>):<page-range>143&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1159/000487103</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Inoue</surname> <given-names>CN</given-names>
</name>
<name>
<surname>Matsutani</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ishidoya</surname> <given-names>M</given-names>
</name>
<name>
<surname>Homma</surname> <given-names>R</given-names>
</name>
<name>
<surname>Chiba</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nagasaka</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Impact of periodontal treatment in combination with tonsillectomy plus methylprednisolone pulse therapy and angiotensin blockade for pediatric IgA nephropathy</article-title>. <source>Clin Nephrol</source> (<year>2012</year>) <volume>77</volume>(<issue>2</issue>):<fpage>137</fpage>. doi: <pub-id pub-id-type="doi">10.5414/CN106836</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Langfelder</surname> <given-names>P</given-names>
</name>
<name>
<surname>Horvath</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>WGCNA: an r package for weighted correlation network analysis</article-title>. <source>BMC Bioinf</source> (<year>2008</year>) <volume>9</volume>(<issue>1</issue>):<page-range>559&#x2013;</page-range>. doi: <pub-id pub-id-type="doi">10.1186/1471-2105-9-559</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Friedman</surname> <given-names>J</given-names>
</name>
<name>
<surname>Hastie</surname> <given-names>T</given-names>
</name>
<name>
<surname>Tibshirani</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Regularization paths for generalized linear models <italic>via</italic> coordinate descent</article-title>. <source>J Stat Software</source> (<year>2010</year>) <volume>33</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.18637/jss.v033.i01</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nowakowska</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Madej</surname> <given-names>M</given-names>
</name>
<name>
<surname>Grad</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hackett</surname> <given-names>M</given-names>
</name>
<name>
<surname>Miller</surname> <given-names>DP</given-names>
</name>
<etal/>
</person-group>. <article-title>Phosphorylation of major porphyromonas gingivalis virulence factors is crucial for their processing and secretion</article-title>. <source>Mol Oral Microbiol</source> (<year>2021</year>) <volume>36</volume>(<issue>6</issue>):<page-range>316&#x2013;26</page-range>. doi: <pub-id pub-id-type="doi">10.1111/omi.12354</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>L</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Activation of the interleukin-4/Signal transducer and activator of transcription 6 signaling pathway and homeodomain-interacting protein kinase 2 production by tonsillar mononuclear cells in IgA nephropathy</article-title>. <source>Am J Nephrol</source> (<year>2013</year>) <volume>38</volume>(<issue>4</issue>):<page-range>321&#x2013;32</page-range>. doi: <pub-id pub-id-type="doi">10.1159/000355393</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kawamura</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yoshimura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Miyazaki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Okamoto</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kimura</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hirano</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>A multicenter randomized controlled trial of tonsillectomy combined with steroid pulse therapy in patients with immunoglobulin a nephropathy</article-title>. <source>Nephrol Dialysis Transplantation</source> (<year>2014</year>) <volume>29</volume>(<issue>8</issue>):<page-range>1546&#x2013;53</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ndt/gfu020</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hotta</surname> <given-names>O</given-names>
</name>
<name>
<surname>Ieiri</surname> <given-names>N</given-names>
</name>
<name>
<surname>Nagai</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tanaka</surname> <given-names>A</given-names>
</name>
<name>
<surname>Harabuchi</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Role of palatine tonsil and epipharyngeal lymphoid tissue in the development of glomerular active lesions (Glomerular vasculitis ) in immunoglobulin a nephropathy</article-title>. <source>Int J Mol Sci</source> (<year>2022</year>) <volume>23</volume>(<issue>2</issue>):<fpage>727</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms23020727</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takechi</surname> <given-names>H</given-names>
</name>
<name>
<surname>Oda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hotta</surname> <given-names>O</given-names>
</name>
<name>
<surname>Yamamoto</surname> <given-names>K</given-names>
</name>
<name>
<surname>Oshima</surname> <given-names>N</given-names>
</name>
<name>
<surname>Matsunobu</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Clinical and immunological implications of increase in CD208+ dendritic cells in tonsils of patients with immunoglobulin a nephropathy</article-title>. <source>Nephrol Dialysis Transplantation</source> (<year>2013</year>) <volume>28</volume>(<issue>12</issue>):<page-range>3004&#x2013;13</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ndt/gft399</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takahara</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kishibe</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nozawa</surname> <given-names>H</given-names>
</name>
<name>
<surname>Harabuchi</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Increase of activated T-cells and up-regulation of Smad7 without elevation of TGF-beta expression in tonsils from patients with pustulosis palmaris et plantaris</article-title>. <source>Clin Immunol (Orlando Fla)</source> (<year>2005</year>) <volume>115</volume>(<issue>2</issue>):<page-range>192&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.clim.2005.01.001</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meng</surname> <given-names>H-X</given-names>
</name>
<name>
<surname>Ohe</surname> <given-names>R</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H-N</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>S-R</given-names>
</name>
<name>
<surname>Kabasawa</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kato</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Immunoglobulin and CD8+ T-cell distribution in histologically distinctive tonsils of individuals with tonsillar focal infection</article-title>. <source>Acta Oto-laryngol</source> (<year>2014</year>) <volume>135</volume>(<issue>3</issue>):<page-range>264&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3109/00016489.2014.968802</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nagasawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Misaki</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ito</surname> <given-names>S</given-names>
</name>
<name>
<surname>Naka</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wato</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nomura</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Title IgA nephropathy and oral bacterial species related to dental caries and periodontitis</article-title>. <source>Int J Mol Sci</source> (<year>2022</year>) <volume>23</volume>(<issue>2</issue>):<fpage>725</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms23020725</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sang</surname> <given-names>XH</given-names>
</name>
</person-group>. <article-title>The meaning of expression about plasma cells in mesenteric lymph nodes of IgA nephropathy and chronic periodontitis composite model in rats</article-title>. <source>J Xinjiang Med University</source> (<year>2014</year>) <volume>37</volume>(<issue>10</issue>):<page-range>1279&#x2013;81</page-range>.</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruszkowski</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lisowska</surname> <given-names>KA</given-names>
</name>
<name>
<surname>Pindel</surname> <given-names>M</given-names>
</name>
<name>
<surname>Heleniak</surname> <given-names>Z</given-names>
</name>
<name>
<surname>D&#x119;bska-&#x15a;lizie&#x144;</surname> <given-names>A</given-names>
</name>
<name>
<surname>Witkowski</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>T Cells in IgA nephropathy: role in pathogenesis, clinical significance and potential therapeutic target</article-title>. <source>Clin Exp Nephrol</source> (<year>2019</year>) <volume>23</volume>(<issue>3</issue>):<fpage>291</fpage>&#x2013;<lpage>303</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10157-018-1665-0</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khalaf</surname> <given-names>H</given-names>
</name>
<name>
<surname>Bengtsson</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Altered T-cell responses by the periodontal pathogen porphyromonas gingivalis</article-title>. <source>PloS One</source> (<year>2012</year>) <volume>7</volume>(<issue>9</issue>):<elocation-id>e45192</elocation-id>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0045192</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hern&#xe1;ndez</surname> <given-names>B</given-names>
</name>
<name>
<surname>Parnell</surname> <given-names>A</given-names>
</name>
<name>
<surname>Pennington</surname> <given-names>SR</given-names>
</name>
</person-group>. <article-title>Why have so few proteomic biomarkers "survived" validation? (Sample size and independent validation considerations)</article-title>. <source>Proteomics (Weinheim)</source> (<year>2014</year>) <volume>14</volume>(<issue>13-14</issue>):<page-range>1587&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pmic.201300377</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nahm</surname> <given-names>FS</given-names>
</name>
</person-group>. <article-title>Receiver operating characteristic curve: overview and practical use for clinicians</article-title>. <source>Korean J Anesthesiol</source> (<year>2022</year>) <volume>75</volume>(<issue>1</issue>):<fpage>25</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.4097/kja.21209</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Imai</surname> <given-names>K</given-names>
</name>
<name>
<surname>Kobayashi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Asaka</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ohiro</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hamada</surname> <given-names>JI</given-names>
</name>
<etal/>
</person-group>. <article-title>Selective transendothelial migration of hematopoietic progenitor cells: A role in homing of progenitor cells</article-title>. <source>Blood</source> (<year>1999</year>) <volume>93</volume>(<issue>1</issue>):<page-range>149&#x2013;56</page-range>. doi: <pub-id pub-id-type="doi">10.1182/blood.V93.1.149</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Havens</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Chiu</surname> <given-names>E</given-names>
</name>
<name>
<surname>Taba</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Shiozawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jung</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Stromal-derived factor-1alpha (CXCL12) levels increase in periodontal disease</article-title>. <source>J Periodontol</source> (<year>2008</year>) <volume>79</volume>(<issue>5</issue>):<page-range>845&#x2013;53</page-range>. doi: <pub-id pub-id-type="doi">10.1902/jop.2008.070514</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hosokawa</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hosokawa</surname> <given-names>I</given-names>
</name>
<name>
<surname>Ozaki</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nakae</surname> <given-names>H</given-names>
</name>
<name>
<surname>Murakami</surname> <given-names>K</given-names>
</name>
<name>
<surname>Miyake</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>CXCL12 and CXCR4 expression by human gingival fibroblasts in periodontal disease</article-title>. <source>Clin Exp Immunol</source> (<year>2005</year>) <volume>141</volume>(<issue>3</issue>):<page-range>467&#x2013;74</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2249.2005.02852.x</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tiberti</surname> <given-names>S</given-names>
</name>
<name>
<surname>Catozzi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Croci</surname> <given-names>O</given-names>
</name>
<name>
<surname>Ballerini</surname> <given-names>M</given-names>
</name>
<name>
<surname>Cagnina</surname> <given-names>D</given-names>
</name>
<name>
<surname>Soriani</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>GZMK high CD8 + T effector memory cells are associated with CD15 high neutrophil abundance in non-metastatic colorectal tumors and predict poor clinical outcome</article-title>. <source>Nat Commun</source> (<year>2022</year>) <volume>13</volume>(<issue>1</issue>):<fpage>6752</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-022-34467-3</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Doan Ngoc</surname> <given-names>T-M</given-names>
</name>
<name>
<surname>Tilly</surname> <given-names>G</given-names>
</name>
<name>
<surname>Danger</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bonizec</surname> <given-names>O</given-names>
</name>
<name>
<surname>Masset</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gu&#xe9;rif</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Effector memory-expressing CD45RA (TEMRA) CD8 + T cells from kidney transplant recipients exhibit enhanced purinergic P2X4 receptor-dependent proinflammatory and migratory responses</article-title>. <source>J Am Soc Nephrol</source> (<year>2022</year>) <volume>33</volume>(<issue>12</issue>):<page-range>2211&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1681/ASN.2022030286</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Leo</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rossi</surname> <given-names>A</given-names>
</name>
<name>
<surname>De Marchis</surname> <given-names>F</given-names>
</name>
<name>
<surname>Cigana</surname> <given-names>C</given-names>
</name>
<name>
<surname>Melessike</surname> <given-names>M</given-names>
</name>
<name>
<surname>Quilici</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Pamoic acid is an inhibitor of HMGB1&#xb7;CXCL12 elicited chemotaxis and reduces inflammation in murine models of pseudomonas aeruginosa pneumonia</article-title>. <source>Mol Med (Cambridge Mass)</source> (<year>2022</year>) <volume>28</volume>(<issue>1</issue>):<page-range>108&#x2013;</page-range>. doi: <pub-id pub-id-type="doi">10.1186/s10020-022-00535-z</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hilchey</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Palshikar</surname> <given-names>MG</given-names>
</name>
<name>
<surname>Mendelson</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Rasam</surname> <given-names>S</given-names>
</name>
<name>
<surname>Emo</surname> <given-names>JA</given-names>
</name>
<etal/>
</person-group>. <article-title>Cyclosporine a modulates LSP1 protein levels in human b cells to attenuate b cell migration at low O2 levels</article-title>. <source>Life (Basel Switzerland)</source> (<year>2022</year>) <volume>12</volume>(<issue>8</issue>):<fpage>1284</fpage>. doi: <pub-id pub-id-type="doi">10.3390/life12081284</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Buren</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yamashita</surname> <given-names>M</given-names>
</name>
<name>
<surname>Suzuki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tomino</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Emancipator</surname> <given-names>SN</given-names>
</name>
</person-group>. <article-title>Altered expression of lymphocyte homing chemokines in the pathogenesis of IgA nephropathy</article-title>. <source>Contributions  Nephrol</source> (<year>2007</year>) <volume>157</volume>:<fpage>50</fpage>. doi: <pub-id pub-id-type="doi">10.1159/000102304</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y-m</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Insights into the role of mucosal immunity in IgA nephropathy</article-title>. <source>Clin J Am Soc Nephrol</source> (<year>2018</year>) <volume>13</volume>(<issue>10</issue>):<page-range>1584&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.2215/CJN.04370418</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>McHeik</surname> <given-names>S</given-names>
</name>
<name>
<surname>Van Eeckhout</surname> <given-names>N</given-names>
</name>
<name>
<surname>De Poorter</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gal&#xe9;s</surname> <given-names>C</given-names>
</name>
<name>
<surname>Parmentier</surname> <given-names>M</given-names>
</name>
<name>
<surname>Springael</surname> <given-names>J-Y</given-names>
</name>
</person-group>. <article-title>Coexpression of CCR7 and CXCR4 during b cell development controls CXCR4 responsiveness and bone marrow homing</article-title>. <source>Front Immunol</source> (<year>2019</year>) <volume>10</volume>:<page-range>2970&#x2013;</page-range>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2019.02970</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pal</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Haruta</surname> <given-names>A</given-names>
</name>
<name>
<surname>Matsumura</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>Q</given-names>
</name>
</person-group>. <article-title>Role of a novel coiled-coil domain-containing protein CCDC69 in regulating central spindle assembly</article-title>. <source>Cell Cycle (Georgetown Tex)</source> (<year>2010</year>) <volume>9</volume>(<issue>20</issue>):<page-range>4117&#x2013;29</page-range>. doi: <pub-id pub-id-type="doi">10.4161/cc.9.20.13387</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>W</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>CCDC69 is a prognostic marker of breast cancer and correlates with tumor immune cell infiltration</article-title>. <source>Front Surg</source> (<year>2022</year>) <volume>9</volume>:<elocation-id>879921</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fsurg.2022.879921</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>