Gut Microbiota Profiles of Treated Metabolic Syndrome Patients and their Relationship with Metabolic Health

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作者
Montree Wutthi-in
Supapon Cheevadhanarak
Sakawdaurn Yasom
Sasiwan Kerdphoo
Parameth Thiennimitr
Arintaya Phrommintikul
Nipon Chattipakorn
Weerayuth Kittichotirat
Siriporn Chattipakorn
机构
[1] School of Bioresources and Technology and School of Information Technology,Bioinformatics and Systems Biology Program
[2] King Mongkut’s University of Technology Thonburi,Systems Biology and Bioinformatics Research Group
[3] Pilot Plant Development and Training Institute,School of Bioresources and Technology
[4] King Mongkut’s University of Technology Thonburi,Cardiac Electrophysiology Research and Training Center
[5] King Mongkut’s University of Technology Thonburi,Center of Excellence in Cardiac Electrophysiology Research
[6] Faculty of Medicine,Department of Microbiology
[7] Chiang Mai University,Department of Internal Medicine, Faculty of Medicine
[8] Faculty of Medicine,Department of Oral Biology and Diagnostic Sciences
[9] Chiang Mai University,undefined
[10] Faculty of Medicine,undefined
[11] Chiang Mai University,undefined
[12] Chiang Mai University,undefined
[13] Faculty of Dentistry,undefined
[14] Chiang Mai University,undefined
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摘要
Metabolic syndrome (MetS) has become a worldwide health issue. Recent studies reveal that the human gut microbiota exerts a significant role in the pathogenesis of this disease. While drug treatments may greatly improve metabolic symptoms, little is known about the gut microbiota composition of these treated MetS patients. This study aimed to characterize the gut microbiota composition of treated-MetS patients and analyse the possibility of using gut microbiota as an indicator of metabolic conditions. 16S rRNA metagenomic sequencing approach was used to profile gut microbiota of 111 treated MetS patients from The Cohort of patients at a high Risk of Cardiovascular Events (CORE)-Thailand registry. Our results show that the gut microbiota profiles of MetS patients are diverse across individuals, but can be classified based on their similarity into three groups or enterotypes. We also showed several associations between species abundance and metabolic parameters that are enterotype specific. These findings suggest that information on the gut microbiota can be useful for assessing treatment options for MetS patients. In addition, any correlations between species abundance and human properties are likely specific to each microbial community.
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