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Regional variation limits applications of healthy gut microbiome reference ranges and disease models
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Journal Article
Regional variation limits applications of healthy gut microbiome reference ranges and disease models
2018
Overview
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.
The definition of a 'healthy' microbiome is impacted by geographic regional variations.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ Biomedical and Life Sciences
/ Disease
/ Female
/ Gastrointestinal Microbiome - genetics
/ Host-Pathogen Interactions - genetics
/ Humans
/ Letter
/ Male
/ Metabolic Diseases - diagnosis
/ Metabolic Diseases - epidemiology
/ Metabolic Diseases - genetics
/ Metabolic Diseases - microbiology
