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Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.

Publication ,  Journal Article
Mars, RAT; Yang, Y; Ward, T; Houtti, M; Priya, S; Lekatz, HR; Tang, X; Sun, Z; Kalari, KR; Korem, T; Bhattarai, Y; Zheng, T; Bar, N; Han, S ...
Published in: Cell
September 17, 2020

The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease has been difficult due to apparent disconnects between animal and human studies and lack of an integrated multi-omics view of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome, and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases. VIDEO ABSTRACT.

Duke Scholars

Published In

Cell

DOI

EISSN

1097-4172

Publication Date

September 17, 2020

Volume

182

Issue

6

Start / End Page

1460 / 1473.e17

Location

United States

Related Subject Headings

  • Transcriptome
  • Tandem Mass Spectrometry
  • Software
  • Purines
  • Prospective Studies
  • Observational Studies as Topic
  • Mice
  • Metabolome
  • Male
  • Longitudinal Studies
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Mars, R. A. T., Yang, Y., Ward, T., Houtti, M., Priya, S., Lekatz, H. R., … Kashyap, P. C. (2020). Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome. Cell, 182(6), 1460-1473.e17. https://doi.org/10.1016/j.cell.2020.08.007
Mars, Ruben A. T., Yi Yang, Tonya Ward, Mo Houtti, Sambhawa Priya, Heather R. Lekatz, Xiaojia Tang, et al. “Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.Cell 182, no. 6 (September 17, 2020): 1460-1473.e17. https://doi.org/10.1016/j.cell.2020.08.007.
Mars RAT, Yang Y, Ward T, Houtti M, Priya S, Lekatz HR, et al. Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome. Cell. 2020 Sep 17;182(6):1460-1473.e17.
Mars, Ruben A. T., et al. “Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.Cell, vol. 182, no. 6, Sept. 2020, pp. 1460-1473.e17. Pubmed, doi:10.1016/j.cell.2020.08.007.
Mars RAT, Yang Y, Ward T, Houtti M, Priya S, Lekatz HR, Tang X, Sun Z, Kalari KR, Korem T, Bhattarai Y, Zheng T, Bar N, Frost G, Johnson AJ, van Treuren W, Han S, Ordog T, Grover M, Sonnenburg J, D’Amato M, Camilleri M, Elinav E, Segal E, Blekhman R, Farrugia G, Swann JR, Knights D, Kashyap PC. Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome. Cell. 2020 Sep 17;182(6):1460-1473.e17.
Journal cover image

Published In

Cell

DOI

EISSN

1097-4172

Publication Date

September 17, 2020

Volume

182

Issue

6

Start / End Page

1460 / 1473.e17

Location

United States

Related Subject Headings

  • Transcriptome
  • Tandem Mass Spectrometry
  • Software
  • Purines
  • Prospective Studies
  • Observational Studies as Topic
  • Mice
  • Metabolome
  • Male
  • Longitudinal Studies