Imperial College London
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Dr Chris Tomlinson

Faculty of Medicine, Department of Surgery & Cancer

Honorary Research Fellow
 
 
 
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Contact

 

chris.tomlinson

 
 
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Location

 

Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@misc{Hoyles:2017,
author = {Hoyles, L and Fernández-Real, JM and Federici, M and Serino, M and Azalbert, V and Blasco, V and Abbott, J and Barton, RH and Puig, J and Xifra, G and Ricart, W and Woodbridge, M and Tomlinson, C and Cardellini, M and Davato, F and Cardolini, I and Porzio, O and Gentilieschi, P and Lopez, F and Foufelle, F and Postic, C and Butcher, SA and Holmes, E and Nicholson, JK and Burcelin, R and Dumas, ME},
title = {Integrated systems biology to study the contribution of the gut microbiome to steatosis in obese women},
type = {Poster},
url = {http://hdl.handle.net/10044/1/52673},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - GEN
AB  - Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease, increasing in worldwide prevalence as a result of the obesity epidemic. It manifests in hepatic cells as steatosis with or without lobular inflammation and/or ballooning. Animal and human studies have suggested the gut microbiome contributes to steatosis/NAFLD. The aim of this study was to use an integrated approach with various -omics and clinical data to evaluate the contribution of the gut microbiome to the molecular phenome (hepatic transcriptome, metabonome) of steatosis. Metagenomic (faecal microbiome), transcriptomic (liver biopsy), metabonomic (plasma and urine, 1H-NMR) and clinical data were collected for 56 morbidly obese (BMI >35) women from Italy (n = 31) and Spain (n = 25) who elected for bariatric surgery. Confounder analyses of clinical data were done using linear modelling. Histological examination of liver biopsies was used to grade steatosis. Faecal metagenomes were generated and analysed using the SCalable Automated Metagenomics Pipeline (SCAMP). Differentially expressed genes were identified in hepatic transcriptomes, and analysed using a range of different bioinformatics tools. 1H-NMR data were generated for plasma and urinary metabonomes. Clinical, metagenomic, transcriptomic and metabonomic data were integrated in the context of steatosis using partial Spearman's correlation, taking confounders (age, body mass index and cohort) into account. Steatosis was anti-correlated with microbial gene richness, and correlated with abundance of Proteobacteria. KEGG analyses of metagenomic data suggested increased microbial processing of dietary lipids and amino acids, as well as endotoxin-related processes related to Proteobacteria. Steatosis-associated hepatic transcriptomes were associated with branched-chain amino acid (BCAA) metabolism, endoplasmic reticulum/phagosome, and immune responses associated with non-specific microbial infections. Metabonom
AU  - Hoyles,L
AU  - Fernández-Real,JM
AU  - Federici,M
AU  - Serino,M
AU  - Azalbert,V
AU  - Blasco,V
AU  - Abbott,J
AU  - Barton,RH
AU  - Puig,J
AU  - Xifra,G
AU  - Ricart,W
AU  - Woodbridge,M
AU  - Tomlinson,C
AU  - Cardellini,M
AU  - Davato,F
AU  - Cardolini,I
AU  - Porzio,O
AU  - Gentilieschi,P
AU  - Lopez,F
AU  - Foufelle,F
AU  - Postic,C
AU  - Butcher,SA
AU  - Holmes,E
AU  - Nicholson,JK
AU  - Burcelin,R
AU  - Dumas,ME
PY  - 2017///
TI  - Integrated systems biology to study the contribution of the gut microbiome to steatosis in obese women
UR  - http://hdl.handle.net/10044/1/52673
ER  -
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