Intestinal flora and inflammatory bowel disease: Causal relationships and predictive models.

ABSTRACT:

Background

Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is significantly influenced by intestinal flora. Understanding the genetic and microbiotic interplay is crucial for IBD prediction and treatment.

Methods

We used Mendelian randomization (MR), transcriptomic analysis, and machine learning techniques, integrating data from the MiBioGen Consortium and various GWAS datasets. SNPs associated with intestinal flora were mapped to genes, with LASSO regression refining gene selection. Differentially expressed genes (DEGs) and immune infiltration patterns were identified through transcriptomic analysis. Six machine learning models were used for predictive modeling.

Findings

MR analysis identified 25 gut microbiota classifications caus

SUBMITTER: Bi GW 

PROVIDER: S-EPMC11458943 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature