4.7 Article

Association of gut microbiota with glycaemic traits and incident type 2 diabetes, and modulation by habitual diet: a population-based longitudinal cohort study in Chinese adults

Journal

DIABETOLOGIA
Volume 65, Issue 7, Pages 1145-1156

Publisher

SPRINGER
DOI: 10.1007/s00125-022-05687-5

Keywords

Glycaemic traits; Gut microbiota; Longitudinal cohort; Type 2 diabetes

Funding

  1. National Natural Science Foundation of China [82073529, 81903316, 81773416, 82103826]
  2. Zhejiang Provincial Natural Science Foundation of China [LQ21H260002]
  3. Zhejiang Province Ten Thousand Talents Program [2019R52039]
  4. US National Institutes of Health (NIH) [R01-HD30880, DK056350, R24 HD050924, R01-HD38700]

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This study identified a potential association between gut microbiota and glycemic control as well as type 2 diabetes. The findings highlight the potential of using gut microbiota-based diagnosis or therapy for type 2 diabetes.
Aims/hypothesis The gut microbiome is mainly shaped by diet, and varies across geographical regions. Little is known about the longitudinal association of gut microbiota with glycaemic control. We aimed to identify gut microbiota prospectively associated with glycaemic traits and type 2 diabetes in a geographically diverse population, and examined the cross-sectional association of dietary or lifestyle factors with the identified gut microbiota. Methods The China Health and Nutrition Survey is a population-based longitudinal cohort covering 15 provinces/megacities across China. Of the participants in that study, 2772 diabetes-free participants with a gut microbiota profile based on 16S rRNA analysis were included in the present study (age 50.8 +/- 12.7 years, mean +/- SD). Using a multivariable-adjusted linear mixedeffects model, we examined the prospective association of gut microbiota with glycaemic traits (fasting glucose, fasting insulin, HbA(1c) and HOMA-IR). We constructed a healthy microbiome index (HMI), and used Poisson regression to examine the relationship between the HMI and incident type 2 diabetes. We evaluated the association of dietary or lifestyle factors with the glycaemic trait-related gut microbiota using a multivariable-adjusted linear regression model. Results After follow-up for 3 years, 123 incident type 2 diabetes cases were identified. We identified 25 gut microbial genera positively or inversely associated with glycaemic traits. The newly created HMI (per SD unit) was inversely associated with incident type 2 diabetes (risk ratio 0.69, 95% CI 0.58, 0.84). Furthermore, we found that several microbial genera that were favourable for the glycaemic trait were consistently associated with healthy dietary habits (higher consumption of vegetable, fruit, fish and nuts). Conclusions/interpretation Our results revealed multiple gut microbiota prospectively associated with glycaemic traits and type 2 diabetes in a geographically diverse population, and highlighted the potential of gut microbiota-based diagnosis or therapy for type 2 diabetes.

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