Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.
Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.
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DOI:
10.1016/j.cell.2020.08.007
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发表时间:
2020-09-17
期刊:
影响因子:
64.5
通讯作者:
Kashyap PC
中科院分区:
文献类型:
--
作者:
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
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. Integrated and longitudinal multiomic analyses of patients with irritable bowel syndrome reveals a role for the gut microbiota in modulating purine metabolism and influencing host gastrointestinal function.
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DOI:
10.1161/hypertensionaha.114.04035
发表时间:
2015-01
期刊:
Hypertension (Dallas, Tex. : 1979)
影响因子:
--
作者:
Biaggioni I;Freeman R;Mathias CJ;Low P;Hewitt LA;Kaufmann H;Droxidopa 302 Investigators
通讯作者:
Droxidopa 302 Investigators
影响因子:
6.4
作者:
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通讯作者:
Knights, Dan
影响因子:
17.1
作者:
De Palma, Giada;Lynch, Michael D. J.;Bercik, Premysl
通讯作者:
Bercik, Premysl
影响因子:
4.8
作者:
Lee, J. Scott;Wang, Ruth X.;Colgan, Sean P.
通讯作者:
Colgan, Sean P.
影响因子:
12.3
作者:
Kim D;Pertea G;Trapnell C;Pimentel H;Kelley R;Salzberg SL
通讯作者:
Salzberg SL