发表状态 | 已发表Published |
题名 | Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities |
作者 | Zeng, Qiang1; Li, Dongfang2,3,4; He, Yuan5; Li, Yinhu6; Yang, Zhenyu7; Zhao, Xiaolan8; Liu, Yanhong3,4; Wang, Yu9; Sun, Jing10; Feng, Xin3,4; Wang, Fei1; Chen, Jiaxing6
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发表日期 | 2019-12-01 |
发表期刊 | Scientific Reports
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ISSN/eISSN | 2045-2322 |
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. |
DOI | 10.1038/s41598-019-49462-w |
URL | 查看来源 |
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 | |
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). |
条目包含的文件 | 条目无相关文件。 |
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