Mucosal microbiome is predictive of pediatric Crohn's disease across geographic regions in North America.

ABSTRACT: Background: Patients with Crohn's disease (CD) have an altered intestinal microbiome, which may facilitate novel diagnostic testing. However, accuracy of microbiome classification models across geographic regions may be limited. Therefore, we sought to examine geographic variation in the microbiome of patients with CD from North America and test the performance of a machine learning classification model across geographic regions. Methods: The RISK cohort included 447 pediatric patients with CD and 221 non-inflammatory bowel disease controls from across North America. Terminal ileum, rectal and fecal samples were obtained prior to treatment for microbiome analysis. We divided study sites into 3 geographic regions to examine regional microbiome differences. We trained and teste

SUBMITTER: Shah R 

PROVIDER: S-EPMC9860194 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature