Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

Abstract Background Crohn’s disease (CD) has an unclear etiology, but there is growing evidence of a direct link with a dysbiotic microbiome. Many gut microbes have previously been associated with CD, but these have mainly been confounded with patients’ ongoing treatments. Additionally, most analyse...

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Bibliographic Details
Main Authors: Gavin M. Douglas, Richard Hansen, Casey M. A. Jones, Katherine A. Dunn, André M. Comeau, Joseph P. Bielawski, Rachel Tayler, Emad M. El-Omar, Richard K. Russell, Georgina L. Hold, Morgan G. I. Langille, Johan Van Limbergen
Format: Article
Language:English
Published: BMC 2018-01-01
Series:Microbiome
Subjects:
Crohn’s disease
Treatment response
Machine learning
Microbiome
Treatment-naïve
Pediatric
Online Access:http://link.springer.com/article/10.1186/s40168-018-0398-3

Internet

http://link.springer.com/article/10.1186/s40168-018-0398-3

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