Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction patients different from stable coronary artery disease

Chaoran Dong; Yanan Yang; Yinghong Wang; Xiaomin Hu; Qingchun Wang; Feng Gao; Shanshan Sun; Qifeng Liu; Lei Li; Jianxun Liu; Yida Tang; Shuyang Zhang; Chongming Wu; Haibo Zhu

Journal of Advanced Research (Apr 2023)

Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction patients different from stable coronary artery disease

Chaoran Dong,
Yanan Yang,
Yinghong Wang,
Xiaomin Hu,
Qingchun Wang,
Feng Gao,
Shanshan Sun,
Qifeng Liu,
Lei Li,
Jianxun Liu,
Yida Tang,
Shuyang Zhang,
Chongming Wu,
Haibo Zhu

Affiliations

Chaoran Dong: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Yanan Yang: Pharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, No.151, Malianwa North Road, Hai Dian District, Beijing 100193, China
Yinghong Wang: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Xiaomin Hu: Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing 100730, China
Qingchun Wang: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Feng Gao: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Shanshan Sun: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Qifeng Liu: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China
Lei Li: Xiyuan Hospital of China Academy of Chinese Medical Sciences, No. 1, Xiyuan Cao Chang, Haidian District, Beijing 100091, China
Jianxun Liu: Xiyuan Hospital of China Academy of Chinese Medical Sciences, No. 1, Xiyuan Cao Chang, Haidian District, Beijing 100091, China; Corresponding authors.
Yida Tang: State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No.167 North Lishi Road, Xicheng District, Beijing 100037, China; Corresponding authors.
Shuyang Zhang: Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing 100730, China; Corresponding authors.
Chongming Wu: School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, No.10, Poyanghu Rd., West Area, Tuanbo New Town, Jinghai Dist., Tianjin 301617, China; Corresponding authors.
Haibo Zhu: State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Xian Nong Tan Street 1, Xicheng District, Beijing 100050, China; Corresponding authors.

Journal volume & issue: Vol. 46
pp. 101 – 112

Abstract

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Introduction: Acute myocardial infarction (AMI) accounts for the majority of deaths caused by coronary artery disease (CAD). Early warning of AMI, especially for patients with stable coronary artery disease (sCAD), is urgently needed. Our previous study showed that alterations in the gut microbiota were correlated with CAD severity. Objectives: Herein, we tried to discover accurate and convenient biomarkers for AMI by combination of gut microbiota and fecal/blood/urinary metabolomics. Methods: We recruited 190 volunteers including 93 sCAD patients, 49 AMI patients, and 48 subjects with normal coronary artery (NCA), and measured their blood biochemical parameters, 16S rRNA-based gut microbiota and NMR-based fecal/blood/urinary metabolites. We further selected 20 subjects from each group and analyzed their gut microbiota by whole-metagenome shotgun sequencing. Results: Multi-omic analyses revealed that AMI patients exhibited specific changes in gut microbiota and serum/urinary/fecal metabolites as compared to subjects with sCAD or NCA. Fourteen bacterial genera and 30 metabolites (11 in feces, 10 in blood, 9 in urine) were closely related to AMI phenotypes and could accurately distinguish AMI patients from sCAD patients. Some species belonging to Alistipes, Streptococcus, Ruminococcus, Lactobacillus and Faecalibacterium were effective to distinguish AMI from sCAD and their predictive ability was confirmed in an independent cohort of CAD patients. We further selected nine indicators including 4 bacterial genera, 3 fecal and 2 urinary metabolites as a noninvasive biomarker set which can distinguish AMI from sCAD with an AUC of 0.932. Conclusion: Combination of gut microbiota and fecal/urinary metabolites provided a set of potential useful and noninvasive predictive biomarker for AMI from sCAD.

Published in Journal of Advanced Research

ISSN: 2090-1232 (Print); 2090-1224 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Medicine: Medicine (General); Science: Science (General)
Website: http://www.journals.elsevier.com/journal-of-advanced-research/

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