Transcriptomics

Dataset Information

0

Molecular classification of Crohn’s disease reveals two clinically relevant subtypes


ABSTRACT: Objective: The clinical presentation and course of Crohn’s disease (CD) is highly variable. We sought to better understand the cellular and molecular mechanisms that guide this heterogeneity, and characterize the cellular processes associated with disease phenotypes. Design: We examined both gene expression and gene regulation (chromatin accessibility) in non-inflamed colon tissue from a cohort of adult CD and control patients. To support the generality of our findings, we analyzed previously published expression data from a large cohort of treatment-naïve pediatric CD and control ileum. Results: We found that adult CD patients clearly segregated into two classes based on colon tissue gene expression—one that largely resembled the normal colon and one where certain genes showed expression patterns normally specific to the ileum. These classes were supported by changes in gene regulatory profiles observed at the level of chromatin accessibility, reflective of a fundamental shift in underlying molecular phenotypes. Further, gene expression from the ilea of the treatment-naïve pediatric CD patient cohort could be similarly subdivided into colon- and ileum-like classes. Finally, expression patterns within these CD subclasses highlight large-scale differences in the immune response and aspects of cellular metabolism, and were associated with multiple clinical phenotypes describing disease behavior, including rectal and perianal disease and need for colectomy. Conclusion: Our results strongly suggest that these molecular signatures define two clinically relevant forms of CD irrespective of tissue sampling location, patient age or treatment status.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85499 | GEO | 2016/12/11

SECONDARY ACCESSION(S): PRJNA338668

REPOSITORIES: GEO

Similar Datasets

2014-07-24 | GSE57945 | GEO
2022-12-23 | GSE221261 | GEO
2018-10-01 | GSE101817 | GEO
2020-04-15 | GSE147600 | GEO
2018-10-01 | GSE101816 | GEO
2015-10-01 | GSE62207 | GEO
2009-03-11 | GSE10616 | GEO
2018-04-24 | GSE94578 | GEO
2009-03-10 | E-GEOD-10616 | biostudies-arrayexpress
2017-06-20 | GSE93624 | GEO