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Alterations in the gut microbiome and metabolism with coronary artery disease severity

BACKGROUND: Coronary artery disease (CAD) is associated with gut microbiota alterations in different populations. Gut microbe-derived metabolites have been proposed as markers of major adverse cardiac events. However, the relationship between the gut microbiome and the different stages of CAD pathop...

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Autores principales: Liu, Honghong, Chen, Xi, Hu, Xiaomin, Niu, Haitao, Tian, Ran, Wang, Hui, Pang, Haiyu, Jiang, Lingjuan, Qiu, Bintao, Chen, Xiuting, Zhang, Yang, Ma, Yiyangzi, Tang, Si, Li, Hanyu, Feng, Siqin, Zhang, Shuyang, Zhang, Chenhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486680/
https://www.ncbi.nlm.nih.gov/pubmed/31027508
http://dx.doi.org/10.1186/s40168-019-0683-9
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author Liu, Honghong
Chen, Xi
Hu, Xiaomin
Niu, Haitao
Tian, Ran
Wang, Hui
Pang, Haiyu
Jiang, Lingjuan
Qiu, Bintao
Chen, Xiuting
Zhang, Yang
Ma, Yiyangzi
Tang, Si
Li, Hanyu
Feng, Siqin
Zhang, Shuyang
Zhang, Chenhong
author_facet Liu, Honghong
Chen, Xi
Hu, Xiaomin
Niu, Haitao
Tian, Ran
Wang, Hui
Pang, Haiyu
Jiang, Lingjuan
Qiu, Bintao
Chen, Xiuting
Zhang, Yang
Ma, Yiyangzi
Tang, Si
Li, Hanyu
Feng, Siqin
Zhang, Shuyang
Zhang, Chenhong
author_sort Liu, Honghong
collection PubMed
description BACKGROUND: Coronary artery disease (CAD) is associated with gut microbiota alterations in different populations. Gut microbe-derived metabolites have been proposed as markers of major adverse cardiac events. However, the relationship between the gut microbiome and the different stages of CAD pathophysiology remains to be established by a systematic study. RESULTS: Based on multi-omic analyses (sequencing of the V3-V4 regions of the 16S rRNA gene and metabolomics) of 161 CAD patients and 40 healthy controls, we found that the composition of both the gut microbiota and metabolites changed significantly with CAD severity. We identified 29 metabolite modules that were separately classified as being positively or negatively correlated with CAD phenotypes, and the bacterial co-abundance group (CAG) with characteristic changes at different stages of CAD was represented by Roseburia, Klebsiella, Clostridium IV and Ruminococcaceae. The result revealed that certain bacteria might affect atherosclerosis by modulating the metabolic pathways of the host, such as taurine, sphingolipid and ceramide, and benzene metabolism. Moreover, a disease classifier based on differential levels of microbes and metabolites was constructed to discriminate cases from controls and was even able to distinguish stable coronary artery disease from acute coronary syndrome accurately. CONCLUSION: Overall, the composition and functions of the gut microbial community differed from healthy controls to diverse coronary artery disease subtypes. Our study identified the relationships between the features of the gut microbiota and circulating metabolites, providing a new direction for future studies aiming to understand the host–gut microbiota interplay in atherosclerotic pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-019-0683-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-64866802019-05-03 Alterations in the gut microbiome and metabolism with coronary artery disease severity Liu, Honghong Chen, Xi Hu, Xiaomin Niu, Haitao Tian, Ran Wang, Hui Pang, Haiyu Jiang, Lingjuan Qiu, Bintao Chen, Xiuting Zhang, Yang Ma, Yiyangzi Tang, Si Li, Hanyu Feng, Siqin Zhang, Shuyang Zhang, Chenhong Microbiome Research BACKGROUND: Coronary artery disease (CAD) is associated with gut microbiota alterations in different populations. Gut microbe-derived metabolites have been proposed as markers of major adverse cardiac events. However, the relationship between the gut microbiome and the different stages of CAD pathophysiology remains to be established by a systematic study. RESULTS: Based on multi-omic analyses (sequencing of the V3-V4 regions of the 16S rRNA gene and metabolomics) of 161 CAD patients and 40 healthy controls, we found that the composition of both the gut microbiota and metabolites changed significantly with CAD severity. We identified 29 metabolite modules that were separately classified as being positively or negatively correlated with CAD phenotypes, and the bacterial co-abundance group (CAG) with characteristic changes at different stages of CAD was represented by Roseburia, Klebsiella, Clostridium IV and Ruminococcaceae. The result revealed that certain bacteria might affect atherosclerosis by modulating the metabolic pathways of the host, such as taurine, sphingolipid and ceramide, and benzene metabolism. Moreover, a disease classifier based on differential levels of microbes and metabolites was constructed to discriminate cases from controls and was even able to distinguish stable coronary artery disease from acute coronary syndrome accurately. CONCLUSION: Overall, the composition and functions of the gut microbial community differed from healthy controls to diverse coronary artery disease subtypes. Our study identified the relationships between the features of the gut microbiota and circulating metabolites, providing a new direction for future studies aiming to understand the host–gut microbiota interplay in atherosclerotic pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-019-0683-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-26 /pmc/articles/PMC6486680/ /pubmed/31027508 http://dx.doi.org/10.1186/s40168-019-0683-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liu, Honghong
Chen, Xi
Hu, Xiaomin
Niu, Haitao
Tian, Ran
Wang, Hui
Pang, Haiyu
Jiang, Lingjuan
Qiu, Bintao
Chen, Xiuting
Zhang, Yang
Ma, Yiyangzi
Tang, Si
Li, Hanyu
Feng, Siqin
Zhang, Shuyang
Zhang, Chenhong
Alterations in the gut microbiome and metabolism with coronary artery disease severity
title Alterations in the gut microbiome and metabolism with coronary artery disease severity
title_full Alterations in the gut microbiome and metabolism with coronary artery disease severity
title_fullStr Alterations in the gut microbiome and metabolism with coronary artery disease severity
title_full_unstemmed Alterations in the gut microbiome and metabolism with coronary artery disease severity
title_short Alterations in the gut microbiome and metabolism with coronary artery disease severity
title_sort alterations in the gut microbiome and metabolism with coronary artery disease severity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486680/
https://www.ncbi.nlm.nih.gov/pubmed/31027508
http://dx.doi.org/10.1186/s40168-019-0683-9
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