Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases
ABSTRACT Coronary artery disease (CAD) is one of leading causes of mortality worldwide. Studies on roles that the gut microbiota plays in development of atherosclerosis or acute myocardial infarction (AMI) have been widely reported. However, the gut microbiota is affected by many factors, including...
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| Format: | Article |
| Language: | English |
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American Society for Microbiology
2022-12-01
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| Series: | Microbiology Spectrum |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/spectrum.02804-22 |
| _version_ | 1828263116322897920 |
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| author | Tao Zhang Haiqing Ren Zhihui Du Tong Zou Xuefeng Guang Yanan Zhang Yuqing Tian Lei Zhu Jiangkun Yu Xue Yu Zhigang Zhang Hailong Dai |
| author_facet | Tao Zhang Haiqing Ren Zhihui Du Tong Zou Xuefeng Guang Yanan Zhang Yuqing Tian Lei Zhu Jiangkun Yu Xue Yu Zhigang Zhang Hailong Dai |
| author_sort | Tao Zhang |
| collection | DOAJ |
| description | ABSTRACT Coronary artery disease (CAD) is one of leading causes of mortality worldwide. Studies on roles that the gut microbiota plays in development of atherosclerosis or acute myocardial infarction (AMI) have been widely reported. However, the gut microbiota is affected by many factors, including age, body mass index (BMI), and hypertension, that lead to high CAD risk. However, the associations between gut microbiota and CAD development or other CAD risk factors remain unexplored. Here, we performed a 16S RNA gene sequencing analysis of 306 fecal samples collected from patients with mild coronary stenosis (MCS; n = 36), stable angina (SA; n = 91), unstable angina (UA; n = 48), and acute myocardial infarction (AMI; n = 66) and 65 non-CAD controls. Using a noise-corrected method based on principal-component analysis (PCA) and the random forest algorithm, we identified the interference with gut microbial profiling of multiple factors (including age, gender, BMI, and hypertension) that potentially contributed significantly to the development of CAD. After correction of noise interference from certain interfering factors, we found consistent indicator microbiota organisms (such as Vampirovibrio, Ruminococcus, and Eisenbergiella) associated with the presence of MCS, SA, and AMI. Establishment of a diagnostic model revealed better performance in early CAD than clinical indexes with indicator microbes. Furthermore, indicator microbes can improve the accuracy of clinical indexes for the diagnosis of AMI. Additionally, we found that the microbial indicators of AMI Sporobacter and Eisenbergiella showed consistent positive and negative correlations to the clinical indexes creatine kinase (CK) and hemoglobin (Hb), respectively. As a control indicator of AMI, Dorea was negatively correlated with CK but positively correlated with Hb. IMPORTANCE Our study discovered the effect of confounding factors on gut microbial variations and identified gut microbial indicators possibly associated with the CAD development after noise correction. Our discovered indicator microbes may have potential for diagnosis or therapy of cardiovascular disorders. |
| first_indexed | 2024-04-13T04:07:12Z |
| format | Article |
| id | doaj.art-f3e2599ba8d44b8e9fc7be9a3d2be254 |
| institution | Directory Open Access Journal |
| issn | 2165-0497 |
| language | English |
| last_indexed | 2024-04-13T04:07:12Z |
| publishDate | 2022-12-01 |
| publisher | American Society for Microbiology |
| record_format | Article |
| series | Microbiology Spectrum |
| spelling | doaj.art-f3e2599ba8d44b8e9fc7be9a3d2be2542022-12-22T03:03:14ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972022-12-0110610.1128/spectrum.02804-22Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery DiseasesTao Zhang0Haiqing Ren1Zhihui Du2Tong Zou3Xuefeng Guang4Yanan Zhang5Yuqing Tian6Lei Zhu7Jiangkun Yu8Xue Yu9Zhigang Zhang10Hailong Dai11State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, People’s Republic of ChinaDepartment of Cardiology, Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan’an Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of ChinaDepartment of Ultrasonography, Ordos Central Hospital, Ordos, Inner Mongolia, People’s Republic of ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of ChinaDepartment of Cardiology, Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan’an Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of ChinaDepartment of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of ChinaDepartment of Cardiology, Affiliated Hospital of Panzhihua University, Panzhihua, People’s Republic of ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, People’s Republic of ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, People’s Republic of ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, People’s Republic of ChinaDepartment of Cardiology, Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan’an Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of ChinaABSTRACT Coronary artery disease (CAD) is one of leading causes of mortality worldwide. Studies on roles that the gut microbiota plays in development of atherosclerosis or acute myocardial infarction (AMI) have been widely reported. However, the gut microbiota is affected by many factors, including age, body mass index (BMI), and hypertension, that lead to high CAD risk. However, the associations between gut microbiota and CAD development or other CAD risk factors remain unexplored. Here, we performed a 16S RNA gene sequencing analysis of 306 fecal samples collected from patients with mild coronary stenosis (MCS; n = 36), stable angina (SA; n = 91), unstable angina (UA; n = 48), and acute myocardial infarction (AMI; n = 66) and 65 non-CAD controls. Using a noise-corrected method based on principal-component analysis (PCA) and the random forest algorithm, we identified the interference with gut microbial profiling of multiple factors (including age, gender, BMI, and hypertension) that potentially contributed significantly to the development of CAD. After correction of noise interference from certain interfering factors, we found consistent indicator microbiota organisms (such as Vampirovibrio, Ruminococcus, and Eisenbergiella) associated with the presence of MCS, SA, and AMI. Establishment of a diagnostic model revealed better performance in early CAD than clinical indexes with indicator microbes. Furthermore, indicator microbes can improve the accuracy of clinical indexes for the diagnosis of AMI. Additionally, we found that the microbial indicators of AMI Sporobacter and Eisenbergiella showed consistent positive and negative correlations to the clinical indexes creatine kinase (CK) and hemoglobin (Hb), respectively. As a control indicator of AMI, Dorea was negatively correlated with CK but positively correlated with Hb. IMPORTANCE Our study discovered the effect of confounding factors on gut microbial variations and identified gut microbial indicators possibly associated with the CAD development after noise correction. Our discovered indicator microbes may have potential for diagnosis or therapy of cardiovascular disorders.https://journals.asm.org/doi/10.1128/spectrum.02804-22CADgut microbiotamild coronary stenosisstable anginaunstable anginaacute myocardial infarction |
| spellingShingle | Tao Zhang Haiqing Ren Zhihui Du Tong Zou Xuefeng Guang Yanan Zhang Yuqing Tian Lei Zhu Jiangkun Yu Xue Yu Zhigang Zhang Hailong Dai Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases Microbiology Spectrum CAD gut microbiota mild coronary stenosis stable angina unstable angina acute myocardial infarction |
| title | Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases |
| title_full | Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases |
| title_fullStr | Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases |
| title_full_unstemmed | Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases |
| title_short | Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases |
| title_sort | diversified shifts in the cross talk between members of the gut microbiota and development of coronary artery diseases |
| topic | CAD gut microbiota mild coronary stenosis stable angina unstable angina acute myocardial infarction |
| url | https://journals.asm.org/doi/10.1128/spectrum.02804-22 |
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