Regional variation limits applications of healthy gut microbiome reference ranges and disease models.,Nature Medicine

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Regional variation limits applications of healthy gut microbiome reference ranges and disease models.
Nature Medicine ( IF 82.9 ) Pub Date : 2018-Oct-01 , DOI: 10.1038/s41591-018-0164-x
Yan He ₁ , Wei Wu _{2,

3} , Hui-Min Zheng _{1,

2} , Pan Li _{1,

2} , Daniel McDonald ₄ , Hua-Fang Sheng ₁ , Mu-Xuan Chen ₁ , Zi-Hui Chen ₃ , Gui-Yuan Ji ₃ , Zhong-Dai-Xi Zheng ₂ , Prabhakar Mujagond ₅ , Xiao-Jiao Chen ₁ , Zu-Hua Rong _{1,

2} , Peng Chen ₆ , Li-Yi Lyu ₇ , Xian Wang ₇ , Chong-Bin Wu ₇ , Nan Yu ₁ , Yan-Jun Xu ₈ , Jia Yin ₉ , Jeroen Raes _{10,

11,

12} , Rob Knight _{4,

13,

14} , Wen-Jun Ma ₃ , Hong-Wei Zhou _{1,

2,

15}

Affiliation

Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, China.
Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Gut Infection and Inflammation Biology Lab, UNESCO-Regional Center for Biotechnology, NCR Biotech Science Cluster, Faridabad, India.
Department of Pathophysiology, Southern Medical University, Guangzhou, China.
Shenzhen Fun-Poo Biotech Co., Ltd., Shenzhen, China.
Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Department of Neurology, NanFang Hospital, Southern Medical University, Guangzhou, China.
Department of Microbiology and Immunology, KU Leuven-University of Leuven, Leuven, Belgium.
VIB, Center for the Biology of Disease, Leuven, Belgium.
Vrije Universiteit Brussel, Faculty of Sciences and Bioengineering Sciences, Microbiology Unit, Brussels, Belgium.
Department of Computer Science & Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China.

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 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.

更新日期：2018-08-27

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