Regional variation limits applications of healthy gut microbiome reference ranges and disease models

被引:639
作者
He, Yan [1 ]
Wu, Wei [2 ,3 ]
Zheng, Hui-Min [1 ,2 ]
Li, Pan [1 ,2 ]
McDonald, Daniel [4 ]
Sheng, Hua-Fang [1 ]
Chen, Mu-Xuan [1 ]
Chen, Zi-Hui [3 ]
Ji, Gui-Yuan [3 ]
Zheng, Zhong-Dai-Xi [2 ]
Mujagond, Prabhakar [5 ]
Chen, Xiao-Jiao [1 ]
Rong, Zu-Hua [1 ,2 ]
Chen, Peng [6 ]
Lyu, Li-Yi [7 ]
Wang, Xian [7 ]
Wu, Chong-Bin [7 ]
Yu, Nan [1 ]
Xu, Yan-Jun [8 ]
Yin, Jia [9 ]
Raes, Jeroen [10 ,11 ,12 ]
Knight, Rob [4 ,13 ,14 ]
Ma, Wen-Jun [3 ]
Zhou, Hong-Wei [1 ,2 ,15 ]
机构
[1] Southern Med Univ, Zhujiang Hosp, Div Lab Med, Guangzhou, Guangdong, Peoples R China
[2] Southern Med Univ, Sch Publ Hlth, Dept Environm Hlth, Guangzhou, Guangdong, Peoples R China
[3] Guangdong Prov Ctr Dis Control & Prevent, Guangdong Prov Inst Publ Hlth, Guangzhou, Guangdong, Peoples R China
[4] Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA
[5] NCR Biotech Sci Cluster, UNESCO Reg Ctr Biotechnol, Gut Infect & Inflammat Biol Lab, Faridabad, India
[6] Southern Med Univ, Dept Pathophysiol, Guangzhou, Guangdong, Peoples R China
[7] Shenzhen Fun Poo Biotech Co Ltd, Shenzhen, Peoples R China
[8] Guangdong Prov Ctr Dis Control & Prevent, Guangzhou, Guangdong, Peoples R China
[9] Southern Med Univ, NanFang Hosp, Dept Neurol, Guangzhou, Guangdong, Peoples R China
[10] Univ Leuven, KU Leuven, Dept Microbiol & Immunol, Leuven, Belgium
[11] VIB, Ctr Biol Dis, Leuven, Belgium
[12] Vrije Univ Brussel, Fac Sci & Bioengn Sci, Microbiol Unit, Brussels, Belgium
[13] Univ Calif San Diego, Dept Comp Sci & Engn, Jacobs Sch Engn, La Jolla, CA 92093 USA
[14] Univ Calif San Diego, Ctr Microbiome Innovat, La Jolla, CA 92093 USA
[15] Southern Med Univ, State Key Lab Organ Failure Res, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
OBESITY; METAGENOMICS;
D O I
10.1038/s41591-018-0164-x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression(1-3). Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis(4), colorectal cancer prescreening(5) and therapeutic choices in melanoma(6). Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic(7) and cardiovascular diseases(8). To understand the generalizability of microbiota-based diagnostic models of metabolic disease, we characterized the gut microbiota of 7,009 individuals from 14 districts within 1 province in China. Among phenotypes, host location showed the strongest associations with microbiota variations. Microbiota-based metabolic disease models developed in one location failed when used elsewhere, suggesting that such models cannot be extrapolated. Interpolated models performed much better, especially in diseases with obvious microbiota-related characteristics. Interpolation efficiency decreased as geographic scale increased, indicating a need to build localized baseline and disease models to predict metabolic risks.
引用
收藏
页码:1532 / +
页数:7
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