<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tan L</submitter><funding>the Science and Technology Research Project of Education Department of Hubei Province</funding><funding>Medical and Health Research Project of Yichang</funding><pagination>5517</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10917761</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>Ulcerative colitis (UC) is a chronic, recurrent inflammatory bowel disease. UC confronts with severe challenges including the unclear pathogenesis and lack of specific diagnostic markers, demanding for identifying predictive biomarkers for UC diagnosis and treatment. We perform immune infiltration and weighted gene co-expression network analysis on gene expression profiles of active UC, inactive UC, and normal controls to identify UC related immune cell and hub genes. Neutrophils, M1 macrophages, activated dendritic cells, and activated mast cells are significantly enriched in active UC. MMP-9, CHI3L1, CXCL9, CXCL10, CXCR2 and S100A9 are identified as hub genes in active UC. Specifically, S100A9 is significantly overexpressed in mice with colitis. The receiver operating characteristic curv</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Identified S100A9 as a target for diagnosis and treatment of ulcerative colitis by bioinformatics analysis.</pubmed_title><pmcid>PMC10917761</pmcid><funding_grant_id>B2019026</funding_grant_id><funding_grant_id>A23-1-107</funding_grant_id><pubmed_authors>Tan L</pubmed_authors><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Tan Y</pubmed_authors><pubmed_authors>Qin H</pubmed_authors><pubmed_authors>Zhang C</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Zhang Q</pubmed_authors><pubmed_authors>Chen T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identified S100A9 as a target for diagnosis and treatment of ulcerative colitis by bioinformatics analysis.</name><description>Ulcerative colitis (UC) is a chronic, recurrent inflammatory bowel disease. UC confronts with severe challenges including the unclear pathogenesis and lack of specific diagnostic markers, demanding for identifying predictive biomarkers for UC diagnosis and treatment. We perform immune infiltration and weighted gene co-expression network analysis on gene expression profiles of active UC, inactive UC, and normal controls to identify UC related immune cell and hub genes. Neutrophils, M1 macrophages, activated dendritic cells, and activated mast cells are significantly enriched in active UC. MMP-9, CHI3L1, CXCL9, CXCL10, CXCR2 and S100A9 are identified as hub genes in active UC. Specifically, S100A9 is significantly overexpressed in mice with colitis. The receiver operating characteristic curv</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-18T15:27:55.262Z</modification><creation>2025-04-07T02:11:03.397Z</creation></dates><accession>S-EPMC10917761</accession><cross_references><pubmed>38448514</pubmed><doi>10.1038/s41598-024-55944-3</doi></cross_references></HashMap>