Unknown

Dataset Information

Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease.


ABSTRACT: Developing microbiome-based markers for pediatric inflammatory bowel disease (PIBD) is challenging. Here, we evaluated the diagnostic and prognostic potential of the gut microbiome in PIBD through a case-control study and cross-cohort analyses. In a Korean PIBD cohort (24 patients with PIBD, 43 controls), we observed that microbial diversity and composition shifted in patients with active PIBD versus controls and recovered at remission. We employed a differential abundance meta-analysis approach to identify microbial markers consistently associated with active inflammation and remission across seven PIBD cohorts from six countries (n = 1,670) including our dataset. Finally, we trained and tested various machine learning models for their ability to predict a patient's future remissio

SUBMITTER: Ha SM 

PROVIDER: S-EPMC11650326 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature