Gut Microbiome Composition Is Predictive of Incident Type 2 Diabetes in a Population Cohort of 5,572 Finnish Adults
semanticscholar(2022)
摘要
OBJECTIVE: To examine the previously unknown
long-term association between gut microbiome composition and incident type 2
diabetes in a representative population cohort.
RESEARCH DESIGN AND METHODS: We collected fecal samples
of 5 572 Finns (mean age 48.7 years, 54.1% women) in 2002 who were followed up
for incident type 2 diabetes until Dec 31st, 2017. The samples were
sequenced using shotgun metagenomics. We examined associations between gut
microbiome compositions and incident diabetes using multivariable-adjusted Cox
regression models. We first used the Eastern Finland sub-population to obtain
initial findings and validated these in the Western Finland sub-population.
RESULTS: Altogether 432 cases of incident
diabetes occurred over the median follow-up of 15.8 years. We detected 4
species and 2 clusters consistently associated with incident diabetes in the
validation models. These 4 species were Clostridium
citroniae (HR, 1.21; 95% CI, 1.04-1.42), C. bolteae (HR, 1.20; 95%
CI, 1.04-1.39), Tyzzerella nexilis (HR,
1.17; 95% CI, 1.01-1.36), and Ruminococcus
gnavus (HR = 1.17; 95% CI, 1.01-1.36). The positively associated clusters,
cluster 1 (HR, 1.18; 95% CI, 1.02-1.38) and cluster 5 (HR, 1.18; 95% CI,
1.02-1.36), mostly consisted of these same species.
CONCLUSIONS: We
observed robust species-level taxonomic features predictive of incident type 2
diabetes over a long-term follow-up. These findings build on and extend
previous mainly cross-sectional evidence and further support links between
dietary habits, metabolic diseases, and type 2 diabetes that are modulated by
the gut microbiome. The gut microbiome can potentially be used to improve the
disease prediction and to uncover novel therapeutic targets for diabetes.
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