Multiomics Integration and Machine Learning Reveal Colony Stimulating Factor 3 Receptor as a Key Gene and Therapeutic Target in Crohn's Disease.

ABSTRACT: Crohn's disease (CD) is a chronic inflammatory disease characterized by complex immune dysregulation in which the identification of key molecular drivers is critical for the advancement of diagnostic and therapeutic approaches. In this study, we integrated transcriptomic data from multiple cohorts and applied three machine learning algorithms-Random forest, support vector machine recursive feature elimination (SVM-RFE), and Least Absolute Shrinkage and Selection Operator (LASSO)-to robustly identify key gene, converging on CSF3R as a top candidate. Mendelian randomization (MR) analysis supported a causal role of CSF3R in CD pathogenesis (OR = 1.400, 95% CI: 1.022-1.917). Enrichment analysis revealed its association with cytokine-receptor interactions and the JAK-STAT pathway. Single-cell R

SUBMITTER: Li P 

PROVIDER: S-EPMC12411032 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature