Identification of key species in gut microbiome for metabolic diseases
周宏伟
时长:20:18 分会场:2019中国肠道大会 - 肠道菌群与健康大会
Gut mirobiome is associated with many chronic metabolic diseases, therefore gut microbiome check has a potential for disease diagnosis and risk assessment. Nevertheless, gut microbial composition is highly complex and could be affected by many host factors and become highly variable among individuals. Previous studies have reported inconsistent dysbiosis patterns for the same disease but the underlying reason remained unclear and this phenomenon hindered the application of gut microbiome in diseases diagnosis. We conducted the to-date largest gut microbiome and chronic disease survey (GGMP, Guangdong Gut Microbiome Project). Our analysis showed that geography has a much larger effect in correlating with gut microbiome variations than age, disease and lifestyle do. Gut microbiota biomarkers and machine learning models for chronic diseases were significantly limited by geographical effect. We further proposed a general framework to understand dysbiosis patterns for various diseases that the disease effect shall be compared with geographical effect to determine if the disease-related microbiome biomarkers can be generally applied or specific to a certain region. We then analyzed the dysbiosis pattern for metabolic syndrome using this population-based dataset and found the pattern is phylogenetically consistent which also showed additive effect with sedentary lifestyles in associating with metabolic syndrome epidemic. Our data indicated an association between gut microbiome and disease epidemiology. On the other hand, our study also warns commercial services of gut check that is not based on population-level databases. We emphasize that large-scale population-level dataset and sophisticated analysis are essential to support future applications of gut microbiome.
周宏伟
南方医科大学珠江医院
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