Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease

Alcohol-associated liver disease is one of the most prevalent diseases around the world, with 10–20% of patients developing progressive liver disease. To identify the complex and correlated nature of metabolic and microbial data types in progressive liver disease, we performed an integrated analysis...

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Autores principales:	Bei Gao, Yixin Zhu, Nan Gao, Weishou Shen, Peter Stärkel, Bernd Schnabl
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gut microbiota random forest metabolome multi-omics Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/0d628fd34e5f4b349d9efedfec951471
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spelling	oai:doaj.org-article:0d628fd34e5f4b349d9efedfec9514712021-11-25T18:20:46ZIntegrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease10.3390/metabo111107662218-1989https://doaj.org/article/0d628fd34e5f4b349d9efedfec9514712021-11-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/766https://doaj.org/toc/2218-1989Alcohol-associated liver disease is one of the most prevalent diseases around the world, with 10–20% of patients developing progressive liver disease. To identify the complex and correlated nature of metabolic and microbial data types in progressive liver disease, we performed an integrated analysis of the fecal and serum metabolomes with the gut microbiome in a cohort of 38 subjects, including 15 patients with progressive liver disease, 16 patients with non-progressive liver disease, and 7 control subjects. We found that although patients were generally clustered in three groups according to disease status, metabolites showed better separation than microbial species. Furthermore, eight serum metabolites were correlated with two microbial species, among which seven metabolites were decreased in patients with progressive liver disease. Five fecal metabolites were correlated with three microbial species, among which four metabolites were decreased in patients with progressive liver disease. When predicting progressive liver disease from non-progressive liver disease using correlated metabolic and microbial signatures with the random forest model, correlated serum metabolites and microbial species showed great predictive power, with the area under the receiver operating characteristic curve achieving 0.91. The multi-omics signatures identified in this study are helpful for the early identification of patients with progressive alcohol-associated liver disease, which is a key step for therapeutic intervention.Bei GaoYixin ZhuNan GaoWeishou ShenPeter StärkelBernd SchnablMDPI AGarticlegut microbiotarandom forestmetabolomemulti-omicsMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 766, p 766 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gut microbiota random forest metabolome multi-omics Microbiology QR1-502
spellingShingle	gut microbiota random forest metabolome multi-omics Microbiology QR1-502 Bei Gao Yixin Zhu Nan Gao Weishou Shen Peter Stärkel Bernd Schnabl Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
description	Alcohol-associated liver disease is one of the most prevalent diseases around the world, with 10–20% of patients developing progressive liver disease. To identify the complex and correlated nature of metabolic and microbial data types in progressive liver disease, we performed an integrated analysis of the fecal and serum metabolomes with the gut microbiome in a cohort of 38 subjects, including 15 patients with progressive liver disease, 16 patients with non-progressive liver disease, and 7 control subjects. We found that although patients were generally clustered in three groups according to disease status, metabolites showed better separation than microbial species. Furthermore, eight serum metabolites were correlated with two microbial species, among which seven metabolites were decreased in patients with progressive liver disease. Five fecal metabolites were correlated with three microbial species, among which four metabolites were decreased in patients with progressive liver disease. When predicting progressive liver disease from non-progressive liver disease using correlated metabolic and microbial signatures with the random forest model, correlated serum metabolites and microbial species showed great predictive power, with the area under the receiver operating characteristic curve achieving 0.91. The multi-omics signatures identified in this study are helpful for the early identification of patients with progressive alcohol-associated liver disease, which is a key step for therapeutic intervention.
format	article
author	Bei Gao Yixin Zhu Nan Gao Weishou Shen Peter Stärkel Bernd Schnabl
author_facet	Bei Gao Yixin Zhu Nan Gao Weishou Shen Peter Stärkel Bernd Schnabl
author_sort	Bei Gao
title	Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
title_short	Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
title_full	Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
title_fullStr	Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
title_full_unstemmed	Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease
title_sort	integrative analysis of metabolome and microbiome in patients with progressive alcohol-associated liver disease
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0d628fd34e5f4b349d9efedfec951471
work_keys_str_mv	AT beigao integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease AT yixinzhu integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease AT nangao integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease AT weishoushen integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease AT peterstarkel integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease AT berndschnabl integrativeanalysisofmetabolomeandmicrobiomeinpatientswithprogressivealcoholassociatedliverdisease
_version_	1718411302529925120

Integrative Analysis of Metabolome and Microbiome in Patients with Progressive Alcohol-Associated Liver Disease

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