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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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 |
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author | Ericson, Ulrika Brunkwall, Louise Hellstrand, Sophie Nilsson, Peter M Orho-Melander, Marju |
author_facet | Ericson, Ulrika Brunkwall, Louise Hellstrand, Sophie Nilsson, Peter M Orho-Melander, Marju |
author_sort | Ericson, Ulrika |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7138670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71386702020-04-13 A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study Ericson, Ulrika Brunkwall, Louise Hellstrand, Sophie Nilsson, Peter M Orho-Melander, Marju J Nutr Nutritional Epidemiology 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. Oxford University Press 2020-04 2019-12-18 /pmc/articles/PMC7138670/ /pubmed/31851320 http://dx.doi.org/10.1093/jn/nxz293 Text en Copyright © The Author(s) 2019. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Nutritional Epidemiology Ericson, Ulrika Brunkwall, Louise Hellstrand, Sophie Nilsson, Peter M Orho-Melander, Marju A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title | A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title_full | A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title_fullStr | A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title_full_unstemmed | A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title_short | A Health-Conscious Food Pattern Is Associated with Prediabetes and Gut Microbiota in the Malmö Offspring Study |
title_sort | health-conscious food pattern is associated with prediabetes and gut microbiota in the malmö offspring study |
topic | Nutritional Epidemiology |
url | 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 |
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