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

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

I: Nutrition and Diabetes, Bind 5, e159, 15.05.2015.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Brahe, LK, Le Chatelier, E, Prifti, E, Pons, N, Kennedy, S, Hansen, T, Pedersen, OB, Astrup, A, Ehrlich, SD & Larsen, LH 2015, 'Specific gut microbiota features and metabolic markers in postmenopausal women with obesity', Nutrition and Diabetes, bind 5, e159. https://doi.org/10.1038/nutd.2015.9

APA

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, 5, [e159]. https://doi.org/10.1038/nutd.2015.9

Vancouver

Brahe LK, Le Chatelier E, Prifti E, Pons N, Kennedy S, Hansen T o.a. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutrition and Diabetes. 2015 maj 15;5. e159. https://doi.org/10.1038/nutd.2015.9

Author

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. / Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. I: Nutrition and Diabetes. 2015 ; Bind 5.

Bibtex

@article{72cab148e2c34fdba2c6ed112f4482da,
title = "Specific gut microbiota features and metabolic markers in postmenopausal women with obesity",
abstract = "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 (P<0.001) including Akkermansia 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.",
author = "Brahe, {Lena Kirchner} and {Le Chatelier}, E and E Prifti and N Pons and S Kennedy and Torben Hansen and Pedersen, {Oluf Borbye} and Arne Astrup and Ehrlich, {S D} and Larsen, {Lesli Hingstrup}",
note = "CURIS 2015 NEXS 212",
year = "2015",
month = may,
day = "15",
doi = "10.1038/nutd.2015.9",
language = "English",
volume = "5",
journal = "Nutrition and Diabetes",
issn = "2044-4052",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Specific gut microbiota features and metabolic markers in postmenopausal women with obesity

AU - Brahe, Lena Kirchner

AU - Le Chatelier, E

AU - Prifti, E

AU - Pons, N

AU - Kennedy, S

AU - Hansen, Torben

AU - Pedersen, Oluf Borbye

AU - Astrup, Arne

AU - Ehrlich, S D

AU - Larsen, Lesli Hingstrup

N1 - CURIS 2015 NEXS 212

PY - 2015/5/15

Y1 - 2015/5/15

N2 - 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 (P<0.001) including Akkermansia 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.

AB - 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 (P<0.001) including Akkermansia 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.

U2 - 10.1038/nutd.2015.9

DO - 10.1038/nutd.2015.9

M3 - Journal article

C2 - 26075636

VL - 5

JO - Nutrition and Diabetes

JF - Nutrition and Diabetes

SN - 2044-4052

M1 - e159

ER -

ID: 139880179