Multi-omics data integration identifies novel biomarkers and patient subgroups in inflammatory bowel disease.

ABSTRACT:

Background

Inflammatory bowel disease (IBD), comprising Crohn's disease (CD) and ulcerative colitis (UC), is a complex condition with diverse manifestations; recent advances in multi-omics technologies are helping researchers unravel its molecular characteristics to develop targeted treatments.

Objectives

In this work, we explored one of the largest multi-omics cohorts in IBD, the Study of a Prospective Adult Research Cohort (SPARC IBD), with the goal of identifying predictive biomarkers for CD and UC and elucidating patient subtypes.

Design

We analyzed genomics, transcriptomics (gut biopsy samples), and proteomics (blood plasma) from hundreds of patients from SPARC IBD. We trained a machine learning model that classifies UC versus CD samples. In parallel, we integrat

SUBMITTER: Preto AJ 

PROVIDER: S-EPMC11792892 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature