{"title":"通过整合WGCNA和溶酶体自噬分析鉴定溃疡性结肠炎相关枢纽基因并进行实验验证。","authors":"Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu","doi":"10.1186/s40246-025-00783-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aims to systematically identify differentially expressed genes associated with lysosomal autophagy in ulcerative colitis (UC) and validate key candidate genes in an animal model, thereby providing novel insights driving UC pathogenesis.</p><p><strong>Methods: </strong>The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. Bioinformatics methods were employed to stratify UC DEGs, weighted gene co-expression network analysis (WGCNA) module genes, and lysophagy-associated DEGs, which were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A protein-protein interaction (PPI) network was constructed via the STRING database, and Cytoscape was used to identify core genes highly associated with lysophagy. Core genes were validated using external datasets, and experimental UC mouse model was established to confirm their expression levels by real-time quantitative reverse transcription PCR (RT-qPCR).</p><p><strong>Results: </strong>PCA of the GSE47908 dataset across UC subtypes revealed distinct spatial separation, integrated and subgroup analyses identified lysophagy-related key genes, and enrichment analyses demonstrated differences in core genes and pathways between overall UC and its subtypes. A PPI network highlighted five hub genes in UC (CASP1, CXCL1, LCN2, PSMB9, AGT). Upregulation of these genes was confirmed via external datasets and animal experiments. Moreover, immune infiltration analysis of UC samples demonstrated immune dysregulation during disease progression, underscoring the interplay between lysophagy and inflammation in UC.</p><p><strong>Conclusion: </strong>The five genes identified-CASP1, CXCL1, LCN2, PSMB9, and AGT-exhibit strong associations with lysosomal autophagy. Our findings suggest that these genes may function as critical regulators of lysosomal autophagy in UC.</p>","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":"19 1","pages":"74"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220674/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis.\",\"authors\":\"Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu\",\"doi\":\"10.1186/s40246-025-00783-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study aims to systematically identify differentially expressed genes associated with lysosomal autophagy in ulcerative colitis (UC) and validate key candidate genes in an animal model, thereby providing novel insights driving UC pathogenesis.</p><p><strong>Methods: </strong>The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. Bioinformatics methods were employed to stratify UC DEGs, weighted gene co-expression network analysis (WGCNA) module genes, and lysophagy-associated DEGs, which were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A protein-protein interaction (PPI) network was constructed via the STRING database, and Cytoscape was used to identify core genes highly associated with lysophagy. Core genes were validated using external datasets, and experimental UC mouse model was established to confirm their expression levels by real-time quantitative reverse transcription PCR (RT-qPCR).</p><p><strong>Results: </strong>PCA of the GSE47908 dataset across UC subtypes revealed distinct spatial separation, integrated and subgroup analyses identified lysophagy-related key genes, and enrichment analyses demonstrated differences in core genes and pathways between overall UC and its subtypes. A PPI network highlighted five hub genes in UC (CASP1, CXCL1, LCN2, PSMB9, AGT). Upregulation of these genes was confirmed via external datasets and animal experiments. Moreover, immune infiltration analysis of UC samples demonstrated immune dysregulation during disease progression, underscoring the interplay between lysophagy and inflammation in UC.</p><p><strong>Conclusion: </strong>The five genes identified-CASP1, CXCL1, LCN2, PSMB9, and AGT-exhibit strong associations with lysosomal autophagy. Our findings suggest that these genes may function as critical regulators of lysosomal autophagy in UC.</p>\",\"PeriodicalId\":13183,\"journal\":{\"name\":\"Human Genomics\",\"volume\":\"19 1\",\"pages\":\"74\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12220674/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40246-025-00783-0\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40246-025-00783-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis.
Objective: This study aims to systematically identify differentially expressed genes associated with lysosomal autophagy in ulcerative colitis (UC) and validate key candidate genes in an animal model, thereby providing novel insights driving UC pathogenesis.
Methods: The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. Bioinformatics methods were employed to stratify UC DEGs, weighted gene co-expression network analysis (WGCNA) module genes, and lysophagy-associated DEGs, which were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A protein-protein interaction (PPI) network was constructed via the STRING database, and Cytoscape was used to identify core genes highly associated with lysophagy. Core genes were validated using external datasets, and experimental UC mouse model was established to confirm their expression levels by real-time quantitative reverse transcription PCR (RT-qPCR).
Results: PCA of the GSE47908 dataset across UC subtypes revealed distinct spatial separation, integrated and subgroup analyses identified lysophagy-related key genes, and enrichment analyses demonstrated differences in core genes and pathways between overall UC and its subtypes. A PPI network highlighted five hub genes in UC (CASP1, CXCL1, LCN2, PSMB9, AGT). Upregulation of these genes was confirmed via external datasets and animal experiments. Moreover, immune infiltration analysis of UC samples demonstrated immune dysregulation during disease progression, underscoring the interplay between lysophagy and inflammation in UC.
Conclusion: The five genes identified-CASP1, CXCL1, LCN2, PSMB9, and AGT-exhibit strong associations with lysosomal autophagy. Our findings suggest that these genes may function as critical regulators of lysosomal autophagy in UC.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.