Regional variation limits applications of healthy gut microbiome reference ranges and disease models.
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| Abstract |
Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression1-3. Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis4, colorectal cancer prescreening5 and therapeutic choices in melanoma6. Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic7 and cardiovascular diseases8. 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.
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| Authors | Yan He, Wei Wu, Hui-Min Zheng, Pan Li, Daniel McDonald, Hua-Fang Sheng, Mu-Xuan Chen, Zi-Hui Chen, Gui-Yuan Ji, Zhong-Dai-Xi Zheng, Prabhakar Mujagond, Xiao-Jiao Chen, Zu-Hua Rong, Peng Chen, Li-Yi Lyu, Xian Wang, Chong-Bin Wu, Nan Yu, Yan-Jun Xu, Jia Yin, Jeroen Raes, Rob Knight, Wen-Jun Ma, Hong-Wei Zhou |
| Journal | Nature medicine (Nat Med) Vol. 24 Issue 10 Pg. 1532-1535 (10 2018) ISSN: 1546-170X [Electronic] United States |
| PMID | 30150716 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't) |
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