{"title":"IKZF1作为树突状细胞介导免疫治疗IgA肾病的潜在治疗靶点。","authors":"Fei Peng, Chunjia Sheng, Jiayi He, Yena Zhou, Yilun Qu, Shuwei Duan, Yinghua Zhao, Jikai Xia, Jie Wu, Guangyan Cai, Lingling Wu, Chuyue Zhang, Xiangmei Chen","doi":"10.1186/s12964-025-02196-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis globally and a major cause of renal failure. Immune dysregulation drives its pathogenesis. This study identifies novel genes as potential diagnostic and therapeutic targets, elucidating immune mechanisms in IgAN.</p><p><strong>Methods: </strong>Immune cell infiltration analysis was conducted to explore the abnormal regulation of immune cells in IgAN. Weighted gene co-expression network analysis (WGCNA) was integrated with protein-protein interaction (PPI) analysis to identify hub genes associated with dendritic cells (DCs) in IgAN. Receiver operating characteristic (ROC) curve analysis and machine learning algorithms were employed to screen for DC-related diagnostic biomarkers from the dataset. Multiple bioinformatics methods were utilized to reveal shared molecular pathways. The findings were further validated through in vivo and vitro intervention experiments.</p><p><strong>Results: </strong>WGCNA, Cytoscape, and three machine learning models collectively identified hub genes (IKZF1, MPEG1, CCR2, CCR5, and CCR7) that are significantly associated with DC immunity. Among these, IKZF1 was pinpointed as a key hub gene and a potential diagnostic biomarker for DC-related immune responses. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA) further revealed substantial differences in the biological processes, signaling pathways, and immune characteristics of DCs. RT-qPCR and immunofluorescence analyses confirmed enhanced infiltration of IKZF1<sup>+</sup> DCs in the tissues of both IgAN mice and anti-Thy1 nephritis rats. Mechanistically, IKZF1 promotes inflammation by mediating the production of pro-inflammatory factors and enhancing antigen presentation in DCs; this effect can be mitigated by siIKZF1 or lenalidomide treatment under LPS-induced inflammatory conditions in vitro. Consistently, treatment with lenalidomide, a molecular degrader of IKZF1, in anti-Thy1 nephritis models effectively alleviated renal damage and reduced inflammatory cell infiltration.</p><p><strong>Conclusions: </strong>This study delineated key patterns of immune cell infiltration in IgAN and identified diagnostic biomarkers associated with DCs, offering valuable insights into the potential therapeutic targeting of IKZF1<sup>+</sup> DCs.</p>","PeriodicalId":55268,"journal":{"name":"Cell Communication and Signaling","volume":"23 1","pages":"216"},"PeriodicalIF":8.2000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12057048/pdf/","citationCount":"0","resultStr":"{\"title\":\"IKZF1 as a potential therapeutic target for dendritic cell-mediated immunotherapy in IgA nephropathy.\",\"authors\":\"Fei Peng, Chunjia Sheng, Jiayi He, Yena Zhou, Yilun Qu, Shuwei Duan, Yinghua Zhao, Jikai Xia, Jie Wu, Guangyan Cai, Lingling Wu, Chuyue Zhang, Xiangmei Chen\",\"doi\":\"10.1186/s12964-025-02196-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis globally and a major cause of renal failure. Immune dysregulation drives its pathogenesis. This study identifies novel genes as potential diagnostic and therapeutic targets, elucidating immune mechanisms in IgAN.</p><p><strong>Methods: </strong>Immune cell infiltration analysis was conducted to explore the abnormal regulation of immune cells in IgAN. Weighted gene co-expression network analysis (WGCNA) was integrated with protein-protein interaction (PPI) analysis to identify hub genes associated with dendritic cells (DCs) in IgAN. Receiver operating characteristic (ROC) curve analysis and machine learning algorithms were employed to screen for DC-related diagnostic biomarkers from the dataset. Multiple bioinformatics methods were utilized to reveal shared molecular pathways. The findings were further validated through in vivo and vitro intervention experiments.</p><p><strong>Results: </strong>WGCNA, Cytoscape, and three machine learning models collectively identified hub genes (IKZF1, MPEG1, CCR2, CCR5, and CCR7) that are significantly associated with DC immunity. Among these, IKZF1 was pinpointed as a key hub gene and a potential diagnostic biomarker for DC-related immune responses. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA) further revealed substantial differences in the biological processes, signaling pathways, and immune characteristics of DCs. RT-qPCR and immunofluorescence analyses confirmed enhanced infiltration of IKZF1<sup>+</sup> DCs in the tissues of both IgAN mice and anti-Thy1 nephritis rats. Mechanistically, IKZF1 promotes inflammation by mediating the production of pro-inflammatory factors and enhancing antigen presentation in DCs; this effect can be mitigated by siIKZF1 or lenalidomide treatment under LPS-induced inflammatory conditions in vitro. Consistently, treatment with lenalidomide, a molecular degrader of IKZF1, in anti-Thy1 nephritis models effectively alleviated renal damage and reduced inflammatory cell infiltration.</p><p><strong>Conclusions: </strong>This study delineated key patterns of immune cell infiltration in IgAN and identified diagnostic biomarkers associated with DCs, offering valuable insights into the potential therapeutic targeting of IKZF1<sup>+</sup> DCs.</p>\",\"PeriodicalId\":55268,\"journal\":{\"name\":\"Cell Communication and Signaling\",\"volume\":\"23 1\",\"pages\":\"216\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12057048/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Communication and Signaling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s12964-025-02196-x\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Communication and Signaling","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12964-025-02196-x","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
IKZF1 as a potential therapeutic target for dendritic cell-mediated immunotherapy in IgA nephropathy.
Background: Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis globally and a major cause of renal failure. Immune dysregulation drives its pathogenesis. This study identifies novel genes as potential diagnostic and therapeutic targets, elucidating immune mechanisms in IgAN.
Methods: Immune cell infiltration analysis was conducted to explore the abnormal regulation of immune cells in IgAN. Weighted gene co-expression network analysis (WGCNA) was integrated with protein-protein interaction (PPI) analysis to identify hub genes associated with dendritic cells (DCs) in IgAN. Receiver operating characteristic (ROC) curve analysis and machine learning algorithms were employed to screen for DC-related diagnostic biomarkers from the dataset. Multiple bioinformatics methods were utilized to reveal shared molecular pathways. The findings were further validated through in vivo and vitro intervention experiments.
Results: WGCNA, Cytoscape, and three machine learning models collectively identified hub genes (IKZF1, MPEG1, CCR2, CCR5, and CCR7) that are significantly associated with DC immunity. Among these, IKZF1 was pinpointed as a key hub gene and a potential diagnostic biomarker for DC-related immune responses. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA) further revealed substantial differences in the biological processes, signaling pathways, and immune characteristics of DCs. RT-qPCR and immunofluorescence analyses confirmed enhanced infiltration of IKZF1+ DCs in the tissues of both IgAN mice and anti-Thy1 nephritis rats. Mechanistically, IKZF1 promotes inflammation by mediating the production of pro-inflammatory factors and enhancing antigen presentation in DCs; this effect can be mitigated by siIKZF1 or lenalidomide treatment under LPS-induced inflammatory conditions in vitro. Consistently, treatment with lenalidomide, a molecular degrader of IKZF1, in anti-Thy1 nephritis models effectively alleviated renal damage and reduced inflammatory cell infiltration.
Conclusions: This study delineated key patterns of immune cell infiltration in IgAN and identified diagnostic biomarkers associated with DCs, offering valuable insights into the potential therapeutic targeting of IKZF1+ DCs.
期刊介绍:
Cell Communication and Signaling (CCS) is a peer-reviewed, open-access scientific journal that focuses on cellular signaling pathways in both normal and pathological conditions. It publishes original research, reviews, and commentaries, welcoming studies that utilize molecular, morphological, biochemical, structural, and cell biology approaches. CCS also encourages interdisciplinary work and innovative models, including in silico, in vitro, and in vivo approaches, to facilitate investigations of cell signaling pathways, networks, and behavior.
Starting from January 2019, CCS is proud to announce its affiliation with the International Cell Death Society. The journal now encourages submissions covering all aspects of cell death, including apoptotic and non-apoptotic mechanisms, cell death in model systems, autophagy, clearance of dying cells, and the immunological and pathological consequences of dying cells in the tissue microenvironment.