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题名Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities
作者
发表日期2019-12-01
发表期刊Scientific Reports
ISSN/eISSN2045-2322
卷号9期号:1
摘要

The gut microbiota (GM) is related to obesity and other metabolic diseases. To detect GM markers for obesity in patients with different metabolic abnormalities and investigate their relationships with clinical indicators, 1,914 Chinese adults were enrolled for 16S rRNA gene sequencing in this retrospective study. Based on GM composition, Random forest classifiers were constructed to screen the obesity patients with (Group OA) or without metabolic diseases (Group O) from healthy individuals (Group H), and high accuracies were observed for the discrimination of Group O and Group OA (areas under the receiver operating curve (AUC) equal to 0.68 and 0.76, respectively). Furthermore, six GM markers were shared by obesity patients with various metabolic disorders (Bacteroides, Parabacteroides, Blautia, Alistipes, Romboutsia and Roseburia). As for the discrimination with Group O, Group OA exhibited low accuracy (AUC = 0.57). Nonetheless, GM classifications to distinguish between Group O and the obese patients with specific metabolic abnormalities were not accurate (AUC values from 0.59 to 0.66). Common biomarkers were identified for the obesity patients with high uric acid, high serum lipids and high blood pressure, such as Clostridium XIVa, Bacteroides and Roseburia. A total of 20 genera were associated with multiple significant clinical indicators. For example, Blautia, Romboutsia, Ruminococcus2, Clostridium sensu stricto and Dorea were positively correlated with indicators of bodyweight (including waistline and body mass index) and serum lipids (including low density lipoprotein, triglyceride and total cholesterol). In contrast, the aforementioned clinical indicators were negatively associated with Bacteroides, Roseburia, Butyricicoccus, Alistipes, Parasutterella, Parabacteroides and Clostridium IV. Generally, these biomarkers hold the potential to predict obesity-related metabolic abnormalities, and interventions based on these biomarkers might be beneficial to weight loss and metabolic risk improvement.

DOI10.1038/s41598-019-49462-w
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收录类别SCIE
语种英语English
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000486139700006
Scopus入藏号2-s2.0-85073465103
引用统计
被引频次:281[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9047
专题个人在本单位外知识产出
通讯作者Zhou, Ke
作者单位
1.Health management institute,People’s Liberation Army General Hospital,Beijing,China
2.Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology,Wuhan,China
3.Department of Microbial Research,WeHealthGene Institute,Shenzhen,China
4.Joint Laboratory of Micro-ecology and Children’s Health,Shenzhen Children’s Hospital & Shenzhen WeHealthGene Co. Ltd.,Shenzhen,China
5.National Research Institute for Health,Beijing,China
6.Department of Computer Science,College of Science and Engineering,City University of Hong Kong,Hong Kong
7.School of Statistics and Data Science,Nankai University,Tianjin,China
8.Southwest Hospital of Third Military Medical University,Chongqing,China
9.Health management center,The 910th Hospital of People’s Liberation Army,Quanzhou,China
10.The China-Japan Union Hospital of Jilin University,Changchun,China
11.Department of Respiratory,Shenzhen Children’s Hospital,Shenzhen,China
12.Department of Cardiology,Longkou People’s Hospital,Longkou,China
13.Department of Mathematics and Statistics,Dalhousie University,Halifax,Canada
14.Department of Health Management,Henan Provincial People’s Hospital,Zhengzhou,China
推荐引用方式
GB/T 7714
Zeng, Qiang,Li, Dongfang,He, Yuanet al. Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities[J]. Scientific Reports, 2019, 9(1).
APA Zeng, Qiang., Li, Dongfang., He, Yuan., Li, Yinhu., Yang, Zhenyu., .. & Dai, Wenkui. (2019). Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities. Scientific Reports, 9(1).
MLA Zeng, Qiang,et al."Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities". Scientific Reports 9.1(2019).
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