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A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study

BACKGROUND: Diet is a determinant of gut microbiota. Both diet and gut microbiota have been linked to metabolic diseases. OBJECTIVE: We aimed to examine data-driven food patterns in relation to the prevalence of prediabetes and gut microbiota composition and food pattern–associated bacteria in relat...

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Detalles Bibliográficos
Autores principales: Ericson, Ulrika, Brunkwall, Louise, Hellstrand, Sophie, Nilsson, Peter M, Orho-Melander, Marju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138670/
https://www.ncbi.nlm.nih.gov/pubmed/31851320
http://dx.doi.org/10.1093/jn/nxz293
Descripción
Sumario:BACKGROUND: Diet is a determinant of gut microbiota. Both diet and gut microbiota have been linked to metabolic diseases. OBJECTIVE: We aimed to examine data-driven food patterns in relation to the prevalence of prediabetes and gut microbiota composition and food pattern–associated bacteria in relation to prediabetes. METHODS: Food patterns were extracted using principal component analysis in 1726 individuals (aged 18–71 y, 55% women, mean BMI = 25.5 kg/m(2)) without diabetes from the population-based Malmö Offspring Study. The gut (fecal) microbiota was analyzed by sequencing the 16S ribosomal RNA gene (V1–V3 region). Prediabetes classification was based on fasting glucose ≥6.0 mmol/L and/or glycated hemoglobin ≥42 mmol/L at baseline and/or type 2 diabetes diagnosis during follow-up (0–3.8 y). Logistic regression was used to investigate cross-sectional associations with prediabetes, and the general linear model to examine associations between food patterns and bacterial genera. RESULTS: Two food patterns, the Health-conscious and the Sugar and High-Fat Dairy patterns, were identified. Adherence to the Health-conscious pattern was associated with a lower prevalence of prediabetes (OR comparing highest quintile with lowest: 0.54; 95% CI: 0.32, 0.92; P-trend = 0.03) and with the abundance of several gut bacterial genera, of which the most robust findings were with a higher abundance of Roseburia and Lachnospira and with a lower abundance of Eubacterium. Roseburia was also associated with a lower prevalence of prediabetes (OR comparing highest quintile with lowest: 0.56; 95% CI: 0.35, 0.92; P-trend = 0.01) and the association between the Health-conscious pattern and prediabetes was attenuated after adjustment for abundance of Roseburia and BMI. Adherence to the Sugar and High-Fat Dairy pattern was associated with a higher prevalence of prediabetes in women (P-trend across food pattern quintiles = 0.03). CONCLUSIONS: In this Swedish population-based study, a Health-conscious food pattern showed an inverse association with the prevalence of prediabetes. Potential underlying explanations may involve links between healthy diet and BMI, as well as gut microbiota, especially a higher abundance of Roseburia.