A two-transcript classifier model for assessing disease activity in patients with ulcerative colitis: A discovery and validation study.

Aims: We aimed to develop and validate classifier models to assess disease activity in UC patients by evaluating potential classifier genes expression levels.

Methods: The study comprised UC and healthy control participants undergoing colonoscopy. We screened candidate genes (TGF-β1, CEACAM1 and CD177) using Differentially Expressed Genes.

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

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.