Exploring the Relevance of Disulfidptosis to the Pathophysiology of Ulcerative Colitis by Bioinformatics Analysis

作者：Zhe Xiong, Ying Fang, Shuangshuang Lu, Qiuyue Sun, Yuhui Sun, Pengcheng Yang, Huang Jin · 发表于：Journal of Inflammation Research · 年份：2024 · DOI：10.2147/jir.s454668 · 被引用次数：11 · 研究领域：Ferroptosis and cancer prognosis、Single-cell and spatial transcriptomics、Gut microbiota and health

Background: Ulcerative colitis (UC) is a nonspecific inflammatory disease confined to the intestinal mucosa and submucosa, and its prevalence significantly increases each year. Disulfidptosis is a recently discovered new form of cell death that has been suggested to be involved in multiple diseases. The aim of this study was to explore the relevance of disulfidptosis in UC. Methods: First, the UC datasets were downloaded from the Gene Expression Omnibus (GEO) database, and UC samples were typed based on upregulated disulfidptosis-related genes (DRGs). Then, weighted gene co-expression network analysis (WGCNA) was performed on the datasets and molecular subtypes of UC, respectively, to obtain candidate signature genes. After validation of the validation set and qRT-PCR, we constructed a nomogram model by signature genes to predict the risk of UC. Finally, single-cell sequencing analysis was used to study the heterogeneity of UC and to demonstrate the expression of DRGs and signature genes at the single-cell level. Results: A total of 7 DRGs were significantly upregulated in the expression profiles of UC, and 180 UC samples were divided into two subtypes based on these DRGs. Five candidate signature genes were obtained by intersecting two key gene modules selected by WGCNA. After evaluation, four signature genes with diagnostic relevance ( COL4A1, PRRX1, NNMT , and PECAM1 ) were eventually identified. The nomogram model showed excellent prediction ability. Finally, in the singl...