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Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling
BACKGROUND/OBJECTIVES: Higher visceral fat mass (VFM) is associated with an increased risk for developing cardio-metabolic diseases. The mechanisms by which an unhealthy diet pattern may influence visceral fat (VF) development has yet to be examined through cutting-edge multi-omic methods. Therefore...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504448/ https://www.ncbi.nlm.nih.gov/pubmed/28293020 http://dx.doi.org/10.1038/ijo.2017.70 |
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author | Pallister, T Jackson, M A Martin, T C Glastonbury, C A Jennings, A Beaumont, M Mohney, R P Small, K S MacGregor, A Steves, C J Cassidy, A Spector, T D Menni, C Valdes, A M |
author_facet | Pallister, T Jackson, M A Martin, T C Glastonbury, C A Jennings, A Beaumont, M Mohney, R P Small, K S MacGregor, A Steves, C J Cassidy, A Spector, T D Menni, C Valdes, A M |
author_sort | Pallister, T |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Higher visceral fat mass (VFM) is associated with an increased risk for developing cardio-metabolic diseases. The mechanisms by which an unhealthy diet pattern may influence visceral fat (VF) development has yet to be examined through cutting-edge multi-omic methods. Therefore, our objective was to examine the dietary influences on VFM and identify gut microbiome and metabolite profiles that link food intakes to VFM. SUBJECTS/METHODS: In 2218 twins with VFM, food intake and metabolomics data available we identified food intakes most strongly associated with VFM in 50% of the sample, then constructed and tested the ‘VFM diet score’ in the remainder of the sample. Using linear regression (adjusted for covariates, including body mass index and total fat mass), we investigated associations between the VFM diet score, the blood metabolomics profile and the fecal microbiome (n=889), and confirmed these associations with VFM. We replicated top findings in monozygotic (MZ) twins discordant (⩾1 s.d. apart) for VFM, matched for age, sex and the baseline genetic sequence. RESULTS: Four metabolites were associated with the VFM diet score and VFM: hippurate, alpha-hydroxyisovalerate, bilirubin (Z,Z) and butyrylcarnitine. We replicated associations between VFM and the diet score (beta (s.e.): 0.281 (0.091); P=0.002), butyrylcarnitine (0.199 (0.087); P=0.023) and hippurate (−0.297 (0.095); P=0.002) in VFM-discordant MZ twins. We identified a single species, Eubacterium dolichum to be associated with the VFM diet score (0.042 (0.011), P=8.47 × 10(−5)), VFM (0.057 (0.019), P=2.73 × 10(−3)) and hippurate (−0.075 (0.032), P=0.021). Moreover, higher blood hippurate was associated with elevated adipose tissue expression neuroglobin, with roles in cellular oxygen homeostasis (0.016 (0.004), P=9.82x10(−6)). CONCLUSIONS: We linked a dietary VFM score and VFM to E. dolichum and four metabolites in the blood. In particular, the relationship between hippurate, a metabolite derived from microbial metabolism of dietary polyphenols, and reduced VFM, the microbiome and increased adipose tissue expression of neuroglobin provides potential mechanistic insight into the influence of diet on VFM. |
format | Online Article Text |
id | pubmed-5504448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55044482017-07-14 Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling Pallister, T Jackson, M A Martin, T C Glastonbury, C A Jennings, A Beaumont, M Mohney, R P Small, K S MacGregor, A Steves, C J Cassidy, A Spector, T D Menni, C Valdes, A M Int J Obes (Lond) Original Article BACKGROUND/OBJECTIVES: Higher visceral fat mass (VFM) is associated with an increased risk for developing cardio-metabolic diseases. The mechanisms by which an unhealthy diet pattern may influence visceral fat (VF) development has yet to be examined through cutting-edge multi-omic methods. Therefore, our objective was to examine the dietary influences on VFM and identify gut microbiome and metabolite profiles that link food intakes to VFM. SUBJECTS/METHODS: In 2218 twins with VFM, food intake and metabolomics data available we identified food intakes most strongly associated with VFM in 50% of the sample, then constructed and tested the ‘VFM diet score’ in the remainder of the sample. Using linear regression (adjusted for covariates, including body mass index and total fat mass), we investigated associations between the VFM diet score, the blood metabolomics profile and the fecal microbiome (n=889), and confirmed these associations with VFM. We replicated top findings in monozygotic (MZ) twins discordant (⩾1 s.d. apart) for VFM, matched for age, sex and the baseline genetic sequence. RESULTS: Four metabolites were associated with the VFM diet score and VFM: hippurate, alpha-hydroxyisovalerate, bilirubin (Z,Z) and butyrylcarnitine. We replicated associations between VFM and the diet score (beta (s.e.): 0.281 (0.091); P=0.002), butyrylcarnitine (0.199 (0.087); P=0.023) and hippurate (−0.297 (0.095); P=0.002) in VFM-discordant MZ twins. We identified a single species, Eubacterium dolichum to be associated with the VFM diet score (0.042 (0.011), P=8.47 × 10(−5)), VFM (0.057 (0.019), P=2.73 × 10(−3)) and hippurate (−0.075 (0.032), P=0.021). Moreover, higher blood hippurate was associated with elevated adipose tissue expression neuroglobin, with roles in cellular oxygen homeostasis (0.016 (0.004), P=9.82x10(−6)). CONCLUSIONS: We linked a dietary VFM score and VFM to E. dolichum and four metabolites in the blood. In particular, the relationship between hippurate, a metabolite derived from microbial metabolism of dietary polyphenols, and reduced VFM, the microbiome and increased adipose tissue expression of neuroglobin provides potential mechanistic insight into the influence of diet on VFM. Nature Publishing Group 2017-07 2017-04-04 /pmc/articles/PMC5504448/ /pubmed/28293020 http://dx.doi.org/10.1038/ijo.2017.70 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Pallister, T Jackson, M A Martin, T C Glastonbury, C A Jennings, A Beaumont, M Mohney, R P Small, K S MacGregor, A Steves, C J Cassidy, A Spector, T D Menni, C Valdes, A M Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title | Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title_full | Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title_fullStr | Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title_full_unstemmed | Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title_short | Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
title_sort | untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504448/ https://www.ncbi.nlm.nih.gov/pubmed/28293020 http://dx.doi.org/10.1038/ijo.2017.70 |
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