Specific gut microbiota features and metabolic markers in postmenopausal women with obesity

Autor: Brahe, Lena Kirchner, Le Chatelier, E, Prifti, E, Pons, N, Kennedy, S, Hansen, Torben, Pedersen, Oluf Borbye, Astrup, Arne, Ehrlich, S D, Larsen, Lesli Hingstrup
Přispěvatelé: University of Copenhagen = Københavns Universitet (KU), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), The Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care and The Danish Dairy Board and Arla Foods amba provided financial support. Metagenopolis is funded by the Investissement d’Avenir grant ANR-11-DPBS-0001., We wish to thank the study participants and the staff from INRA/MetaGenoPolis: Florence Levenez and Joël Doré for sample preparation, Nathalie Galleron and Benoit Quinquis for microbiome sequencing, Jean-Michel Batto and Pierre Leonard for informatics. The study is part of The Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care (www.LuCAMP.org)., ANR-11-DPBS-0001,MGP,MetaGenoPolis(2011), Brahe, L. K., Le Chatelier, Emmanuelle
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Nutrition & Diabetes
Nutrition & Diabetes, Springer Nature, 2015, 5 (6), pp.e159-e159. ⟨10.1038/nutd.2015.9⟩
Nutrition and Diabetes (5), . (2015)
Brahe, L K, Le Chatelier, E, Prifti, E, Pons, N, Kennedy, S, Hansen, T, Pedersen, O B, Astrup, A, Ehrlich, S D & Larsen, L H 2015, ' Specific gut microbiota features and metabolic markers in postmenopausal women with obesity ', Nutrition and Diabetes, vol. 5, e159 . https://doi.org/10.1038/nutd.2015.9
ISSN: 2044-4052
DOI: 10.1038/nutd.2015.9⟩
Popis: Background: Gut microbial gene richness and specific bacterial species are associated with metabolic risk markers in humans, but the impact of host physiology and dietary habits on the link between the gut microbiota and metabolic markers remain unclear. The objective of this study was to identify gut metagenomic markers associated with estimates of insulin resistance, lipid metabolism and inflammation in obesity, and to explore whether the associations between metagenomic and metabolic markers persisted after adjustment for body fat, age and habitual dietary intake. Methods: Faecal DNA from 53 women with obesity was analysed through quantitative metagenomic sequencing and analysis, and a systematic search was performed for bacterial genes associated with estimates of insulin resistance, inflammation and lipid metabolism. Subsequently, the correlations between metagenomic species and metabolic markers were tested by linear regression models, with and without covariate adjustment. Results: One hundred and fourteen metagenomic species correlated with metabolic markers (PAkkermansia muciniphila, Bilophila wadsworthia, Bifidobacterium longum and Faecalibacterium prausnitzii, but also species not previously associated with metabolic markers including Bacteroides faecis and Dorea longicatena. The majority of the identified correlations between bacterial species and metabolic markers persisted after adjustment for differences in body fat, age and dietary macronutrient composition; however, the negative correlation with insulin resistance observed for B. longum and F. prausnitzii appeared to be modified by the intake of dietary fibre and fat, respectively. Conclusions: This study shows that several gut bacterial species are linked to metabolic risk markers in obesity, also after adjustment for potential confounders, such as long-term diet composition. The study supports the use of gut metagenomic markers for metabolic disease prediction and warrants further investigation of causality.
Databáze: OpenAIRE
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