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Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study

BACKGROUND: Identifying associations between serum metabolites and visceral adipose tissue (VAT) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity‐related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT. METHODS AND RESULT...

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Autores principales: Neeland, Ian J., Boone, Sebastiaan C., Mook‐Kanamori, Dennis O., Ayers, Colby, Smit, Roelof A. J., Tzoulaki, Ioanna, Karaman, Ibrahim, Boulange, Claire, Vaidya, Dhananjay, Punjabi, Naresh, Allison, Matthew, Herrington, David M., Jukema, J. Wouter, Rosendaal, Frits R., Lamb, Hildo J., van Dijk, Ko Willems, Greenland, Philip, de Mutsert, Renée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512086/
https://www.ncbi.nlm.nih.gov/pubmed/31017036
http://dx.doi.org/10.1161/JAHA.118.010810
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author Neeland, Ian J.
Boone, Sebastiaan C.
Mook‐Kanamori, Dennis O.
Ayers, Colby
Smit, Roelof A. J.
Tzoulaki, Ioanna
Karaman, Ibrahim
Boulange, Claire
Vaidya, Dhananjay
Punjabi, Naresh
Allison, Matthew
Herrington, David M.
Jukema, J. Wouter
Rosendaal, Frits R.
Lamb, Hildo J.
van Dijk, Ko Willems
Greenland, Philip
de Mutsert, Renée
author_facet Neeland, Ian J.
Boone, Sebastiaan C.
Mook‐Kanamori, Dennis O.
Ayers, Colby
Smit, Roelof A. J.
Tzoulaki, Ioanna
Karaman, Ibrahim
Boulange, Claire
Vaidya, Dhananjay
Punjabi, Naresh
Allison, Matthew
Herrington, David M.
Jukema, J. Wouter
Rosendaal, Frits R.
Lamb, Hildo J.
van Dijk, Ko Willems
Greenland, Philip
de Mutsert, Renée
author_sort Neeland, Ian J.
collection PubMed
description BACKGROUND: Identifying associations between serum metabolites and visceral adipose tissue (VAT) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity‐related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT. METHODS AND RESULTS: Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross‐sectional linear regression of individual‐level data from participants in MESA (Multi‐Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted (1)H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted (1)H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid‐lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT (P=4.88×10(−20)–1.16×10(−3)). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched‐chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT (P=1.90×10(−35)–8.46×10(−7)), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. CONCLUSIONS: We identified and replicated a metabolite panel associated with VAT in 2 community‐based cohorts. These findings persisted after adjustment for body mass index and appear to define a metabolic signature of visceral adiposity.
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spelling pubmed-65120862019-05-20 Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study Neeland, Ian J. Boone, Sebastiaan C. Mook‐Kanamori, Dennis O. Ayers, Colby Smit, Roelof A. J. Tzoulaki, Ioanna Karaman, Ibrahim Boulange, Claire Vaidya, Dhananjay Punjabi, Naresh Allison, Matthew Herrington, David M. Jukema, J. Wouter Rosendaal, Frits R. Lamb, Hildo J. van Dijk, Ko Willems Greenland, Philip de Mutsert, Renée J Am Heart Assoc Original Research BACKGROUND: Identifying associations between serum metabolites and visceral adipose tissue (VAT) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity‐related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT. METHODS AND RESULTS: Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross‐sectional linear regression of individual‐level data from participants in MESA (Multi‐Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted (1)H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted (1)H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid‐lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT (P=4.88×10(−20)–1.16×10(−3)). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched‐chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT (P=1.90×10(−35)–8.46×10(−7)), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. CONCLUSIONS: We identified and replicated a metabolite panel associated with VAT in 2 community‐based cohorts. These findings persisted after adjustment for body mass index and appear to define a metabolic signature of visceral adiposity. John Wiley and Sons Inc. 2019-04-24 /pmc/articles/PMC6512086/ /pubmed/31017036 http://dx.doi.org/10.1161/JAHA.118.010810 Text en © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Neeland, Ian J.
Boone, Sebastiaan C.
Mook‐Kanamori, Dennis O.
Ayers, Colby
Smit, Roelof A. J.
Tzoulaki, Ioanna
Karaman, Ibrahim
Boulange, Claire
Vaidya, Dhananjay
Punjabi, Naresh
Allison, Matthew
Herrington, David M.
Jukema, J. Wouter
Rosendaal, Frits R.
Lamb, Hildo J.
van Dijk, Ko Willems
Greenland, Philip
de Mutsert, Renée
Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title_full Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title_fullStr Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title_full_unstemmed Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title_short Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
title_sort metabolomics profiling of visceral adipose tissue: results from mesa and the neo study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512086/
https://www.ncbi.nlm.nih.gov/pubmed/31017036
http://dx.doi.org/10.1161/JAHA.118.010810
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