Integrative Analysis of the Inflammatory Bowel Disease Serum Metabolome Improves Our Understanding of Genetic Etiology and Points to Novel Putative Therapeutic Targets.


Journal

Gastroenterology
ISSN: 1528-0012
Titre abrégé: Gastroenterology
Pays: United States
ID NLM: 0374630

Informations de publication

Date de publication:
03 2022
Historique:
received: 25 01 2021
revised: 01 11 2021
accepted: 07 11 2021
pubmed: 16 11 2021
medline: 9 3 2022
entrez: 15 11 2021
Statut: ppublish

Résumé

Polygenic and environmental factors are underlying causes of inflammatory bowel disease (IBD). We hypothesized that integration of the genetic loci controlling a metabolite's abundance, with known IBD genetic susceptibility loci, may help resolve metabolic drivers of IBD. We measured the levels of 1300 metabolites in the serum of 484 patients with ulcerative colitis (UC) and 464 patients with Crohn's disease (CD) and 365 controls. Differential metabolite abundance was determined for disease status, subtype, clinical and endoscopic disease activity, as well as IBD phenotype including disease behavior, location, and extent. To inform on the genetic basis underlying metabolic diversity, we integrated metabolite and genomic data. Genetic colocalization and Mendelian randomization analyses were performed using known IBD risk loci to explore whether any metabolite was causally associated with IBD. We found 173 genetically controlled metabolites (metabolite quantitative trait loci, 9 novel) within 63 non-overlapping loci (7 novel). Furthermore, several metabolites significantly associated with IBD disease status and activity as defined using clinical and endoscopic indexes. This constitutes a resource for biomarker discovery and IBD biology insights. Using this resource, we show that a novel metabolite quantitative trait locus for serum butyrate levels containing ACADS was not supported as causal for IBD; replicate the association of serum omega-6 containing lipids with the fatty acid desaturase 1/2 locus and identify these metabolites as causal for CD through Mendelian randomization; and validate a novel association of serum plasmalogen and TMEM229B, which was predicted as causal for CD. An exploratory analysis combining genetics and unbiased serum metabolome surveys can reveal novel biomarkers of disease activity and potential mediators of pathology in IBD.

Sections du résumé

BACKGROUND & AIMS
Polygenic and environmental factors are underlying causes of inflammatory bowel disease (IBD). We hypothesized that integration of the genetic loci controlling a metabolite's abundance, with known IBD genetic susceptibility loci, may help resolve metabolic drivers of IBD.
METHODS
We measured the levels of 1300 metabolites in the serum of 484 patients with ulcerative colitis (UC) and 464 patients with Crohn's disease (CD) and 365 controls. Differential metabolite abundance was determined for disease status, subtype, clinical and endoscopic disease activity, as well as IBD phenotype including disease behavior, location, and extent. To inform on the genetic basis underlying metabolic diversity, we integrated metabolite and genomic data. Genetic colocalization and Mendelian randomization analyses were performed using known IBD risk loci to explore whether any metabolite was causally associated with IBD.
RESULTS
We found 173 genetically controlled metabolites (metabolite quantitative trait loci, 9 novel) within 63 non-overlapping loci (7 novel). Furthermore, several metabolites significantly associated with IBD disease status and activity as defined using clinical and endoscopic indexes. This constitutes a resource for biomarker discovery and IBD biology insights. Using this resource, we show that a novel metabolite quantitative trait locus for serum butyrate levels containing ACADS was not supported as causal for IBD; replicate the association of serum omega-6 containing lipids with the fatty acid desaturase 1/2 locus and identify these metabolites as causal for CD through Mendelian randomization; and validate a novel association of serum plasmalogen and TMEM229B, which was predicted as causal for CD.
CONCLUSIONS
An exploratory analysis combining genetics and unbiased serum metabolome surveys can reveal novel biomarkers of disease activity and potential mediators of pathology in IBD.

Identifiants

pubmed: 34780722
pii: S0016-5085(21)03738-0
doi: 10.1053/j.gastro.2021.11.015
pmc: PMC9214725
mid: NIHMS1807987
pii:
doi:

Substances chimiques

Biomarkers 0
Butyrates 0
Plasmalogens 0
Acyl-CoA Dehydrogenase EC 1.3.8.7

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

828-843.e11

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK129762
Pays : United States
Organisme : NIDDK NIH HHS
ID : RC2 DK122532
Pays : United States
Organisme : NIH HHS
ID : S10 OD026880
Pays : United States
Organisme : NIH HHS
ID : S10 OD030463
Pays : United States

Informations de copyright

Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.

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Auteurs

Antonio F Di'Narzo (AF)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, Stamford, Connecticut.

Sander M Houten (SM)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Roman Kosoy (R)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Ruiqi Huang (R)

Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.

Frédéric M Vaz (FM)

Department of Clinical Chemistry, Amsterdam Gastroenterology & Metabolism, Laboratory Genetic Metabolic Diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.

Ruixue Hou (R)

Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.

Gabrielle Wei (G)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Wenhui Wang (W)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Phillip H Comella (PH)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Tetyana Dodatko (T)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Eduard Rogatsky (E)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Aleksandar Stojmirovic (A)

Janssen R&D, LLC, Spring House, Pennsylvania.

Carrie Brodmerkel (C)

Janssen R&D, LLC, Spring House, Pennsylvania.

Jacqueline Perrigoue (J)

Janssen R&D, LLC, Spring House, Pennsylvania.

Amy Hart (A)

Janssen R&D, LLC, Spring House, Pennsylvania.

Mark Curran (M)

Janssen R&D, LLC, Spring House, Pennsylvania.

Joshua R Friedman (JR)

Janssen R&D, LLC, Spring House, Pennsylvania.

Jun Zhu (J)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, Stamford, Connecticut; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Manasi Agrawal (M)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Judy Cho (J)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Ryan Ungaro (R)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Marla C Dubinsky (MC)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Bruce E Sands (BE)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Mayte Suárez-Fariñas (M)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.

Eric E Schadt (EE)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, Stamford, Connecticut; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Jean-Frédéric Colombel (JF)

The Dr. Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.

Andrew Kasarskis (A)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, Stamford, Connecticut; Icahn Institute for Data Science and Genomic Technology, New York, New York; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.

Ke Hao (K)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, Stamford, Connecticut; Icahn Institute for Data Science and Genomic Technology, New York, New York.

Carmen Argmann (C)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, New York, New York. Electronic address: carmen.argmann@mssm.edu.

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