Imperial College London
Alternate

ProfessorElaineHolmes

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Chemical Biology
 
 
 
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Contact

 

+44 (0)20 7594 3220elaine.holmes

 
 
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Location

 

661Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mujagic:2022:10.1080/19490976.2022.2063016,
author = {Mujagic, Z and Kasapi, M and Jonkers, DMAE and Garcia, Perez I and Vork, L and Weerts, ZZRM and Serrano, Contreras JI and Zhernakova, A and Kurilshikov, A and Scotcher, J and Holmes, E and Wijmenga, C and Keszthelyi, D and Nicholson, J and Posma, JM and Masclee, AAM},
doi = {10.1080/19490976.2022.2063016},
journal = {Gut Microbes},
pages = {1--20},
title = {Integrated fecal microbiome–metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome},
url = {http://dx.doi.org/10.1080/19490976.2022.2063016},
volume = {14},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - To gain insight into the complex microbiome-gut-brain axis in irritable bowel syndrome (IBS) several modalities of biological and clinical data must be combined. We aimed to identify profiles of faecal microbiota and metabolites associated with IBS and to delineate specific phenotypes of IBS that represent potential pathophysiological mechanisms. Faecal metabolites were measured using proton Nuclear Magnetic Resonance (1H-NMR) spectroscopy and gut microbiome using Shotgun Metagenomic Sequencing (MGS) in a combined dataset of 142 IBS patients and 120 healthy controls (HC) with extensive clinical, biological and phenotype information. Data were analysed using support vector classification and regression and kernel t-SNE. Microbiome and metabolome profiles could distinguish IBS and HC with an area-under-the-receiver-operator-curve (AUC) of 77.3% and 79.5%, respectively, but this could be improved by combining microbiota and metabolites to 83.6%. No significant differences in predictive ability of the microbiome-metabolome data were observed between the three classical, stool pattern-based, IBS subtypes. However, unsupervised clustering showed distinct subsets of IBS patients based on faecal microbiome-metabolome data. These clusters could be related plasma levels of serotonin and its metabolite 5-hydroxyindoleacetate, effects of psychological stress on gastrointestinal symptoms, onset of IBS after stressful events, medical history of previous abdominal surgery, dietary caloric intake and IBS symptom duration. Furthermore, pathways in metabolic reaction networks were integrated with microbiota data, that reflect the host-microbiome interactions in IBS. The identified microbiome-metabolome signatures for IBS, associated with altered serotonin metabolism and unfavourable stress-response related to gastrointestinal symptoms, support the microbiota-gut-brain link in the pathogenesis of IBS.
AU  - Mujagic,Z
AU  - Kasapi,M
AU  - Jonkers,DMAE
AU  - Garcia,Perez I
AU  - Vork,L
AU  - Weerts,ZZRM
AU  - Serrano,Contreras JI
AU  - Zhernakova,A
AU  - Kurilshikov,A
AU  - Scotcher,J
AU  - Holmes,E
AU  - Wijmenga,C
AU  - Keszthelyi,D
AU  - Nicholson,J
AU  - Posma,JM
AU  - Masclee,AAM
DO  - 10.1080/19490976.2022.2063016
EP  - 20
PY  - 2022///
SN  - 1949-0976
SP  - 1
TI  - Integrated fecal microbiome–metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome
T2  - Gut Microbes
UR  - http://dx.doi.org/10.1080/19490976.2022.2063016
UR  - https://www.tandfonline.com/doi/full/10.1080/19490976.2022.2063016
UR  - http://hdl.handle.net/10044/1/96377
VL  - 14
ER  -
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