Analysis of immune cell infiltration characteristics in severe acute pancreatitis through integrated bioinformatics.

ABSTRACT: The etiopathogenesis of severe acute pancreatitis (SAP) remains poorly understood. We aim to investigate the role of immune cells Infiltration Characteristics during SAP progression. Gene expression profiles of the GSE194331 dataset were retrieved from the GEO. Lasso regression and random forest algorithms were employed to select feature genes from genes related to SAP progression and immune responses. CIBERSORT was utilized to estimate differences in immune cell types and proportions and the relationship between immune cells and gene expression. We performed pathway enrichment analysis using GSEA to examine disparities in KEGG signaling pathways when comparing the two groups. Additionally, CMap analysis was executed to identify prospective small molecular compounds. The three hub genes (C

SUBMITTER: Xiao S 

PROVIDER: S-EPMC11018854 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature