Identifying Metabolomic Profiles of Insulinemic Dietary Patterns

The food-based empirical dietary index for hyperinsulinemia (EDIH) score assesses the insulinemic potential of diet. This cross-sectional study evaluated associations between EDIH scores from food frequency questionnaires with c-peptide concentrations and with 448 metabolites, from fasting plasma sa...

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Main Authors: Fred K. Tabung, Raji Balasubramanian, Liming Liang, Steven K. Clinton, Elizabeth M. Cespedes Feliciano, JoAnn E. Manson, Linda Van Horn, Jean Wactawski-Wende, Clary B. Clish, Edward L. Giovannucci, Kathryn M. Rexrode
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/9/6/120
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spelling doaj-2836feb58b40439c841d9360c9be34562020-11-25T02:01:16ZengMDPI AGMetabolites2218-19892019-06-019612010.3390/metabo9060120metabo9060120Identifying Metabolomic Profiles of Insulinemic Dietary PatternsFred K. Tabung0Raji Balasubramanian1Liming Liang2Steven K. Clinton3Elizabeth M. Cespedes Feliciano4JoAnn E. Manson5Linda Van Horn6Jean Wactawski-Wende7Clary B. Clish8Edward L. Giovannucci9Kathryn M. Rexrode10Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH 43210, USADepartment of Biostatistics and Epidemiology, University of Massachusetts-Amherst, MA 01003, USADepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADivision of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH 43210, USADivision of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USADepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, USADepartment of Epidemiology and Environmental Health, University at Buffalo, The State University of New York, Buffalo, NY 14214, USABroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USADepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USADivision of Women’s Health, Brigham and Women’s Hospital, Boston, MA 02115, USAThe food-based empirical dietary index for hyperinsulinemia (EDIH) score assesses the insulinemic potential of diet. This cross-sectional study evaluated associations between EDIH scores from food frequency questionnaires with c-peptide concentrations and with 448 metabolites, from fasting plasma samples, in multivariable linear regression analyses. Metabolites were measured with liquid chromatography tandem mass spectroscopy. Using a robust two-stage study design, discovery of metabolite associations was conducted among 1109 Women&#8217;s Health Initiative (WHI) Hormone Therapy (HT) trial participants and results replicated in an independent dataset of 810 WHI Observational Study (OS) participants. In both discovery and replication datasets, statistical significance was based on the false-discovery rate adjusted <i>P</i> &lt; 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT &amp; OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; <i>P</i>-trend &lt; 0.0001) in EDIH quintile 5 compared to quintile 1. Twenty-six metabolites were significantly associated with EDIH in the discovery dataset, and 19 of these were replicated in the validation dataset. Nine metabolites were found to decrease in abundance with increasing EDIH scores and included: C14:0 CE, C16:1 CE, C18:1 CE, C18:3 CE, C20:3 CE, C20:5 CE, C36:1 PS plasmalogen, trigonelline, and eicosapentanoate, whereas the 10 metabolites observed to increase with increasing EDIH scores were: C18:2 SM, C36:3 DAG, C36:4 DAG-A, C51:3 TAG, C52:3 TAG, C52:4, TAG, C54:3 TAG, C54:4 TAG, C54:6 TAG, and C10:2 carnitine. Cholesteryl esters, phospholipids, acylglycerols, and acylcarnitines may constitute circulating metabolites that are associated with insulinemic dietary patterns.https://www.mdpi.com/2218-1989/9/6/120dietary patternsinsulinemic dietsmetabolomicspostmenopausal women
collection DOAJ
language English
format Article
sources DOAJ
author Fred K. Tabung
Raji Balasubramanian
Liming Liang
Steven K. Clinton
Elizabeth M. Cespedes Feliciano
JoAnn E. Manson
Linda Van Horn
Jean Wactawski-Wende
Clary B. Clish
Edward L. Giovannucci
Kathryn M. Rexrode
spellingShingle Fred K. Tabung
Raji Balasubramanian
Liming Liang
Steven K. Clinton
Elizabeth M. Cespedes Feliciano
JoAnn E. Manson
Linda Van Horn
Jean Wactawski-Wende
Clary B. Clish
Edward L. Giovannucci
Kathryn M. Rexrode
Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
Metabolites
dietary patterns
insulinemic diets
metabolomics
postmenopausal women
author_facet Fred K. Tabung
Raji Balasubramanian
Liming Liang
Steven K. Clinton
Elizabeth M. Cespedes Feliciano
JoAnn E. Manson
Linda Van Horn
Jean Wactawski-Wende
Clary B. Clish
Edward L. Giovannucci
Kathryn M. Rexrode
author_sort Fred K. Tabung
title Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
title_short Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
title_full Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
title_fullStr Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
title_full_unstemmed Identifying Metabolomic Profiles of Insulinemic Dietary Patterns
title_sort identifying metabolomic profiles of insulinemic dietary patterns
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2019-06-01
description The food-based empirical dietary index for hyperinsulinemia (EDIH) score assesses the insulinemic potential of diet. This cross-sectional study evaluated associations between EDIH scores from food frequency questionnaires with c-peptide concentrations and with 448 metabolites, from fasting plasma samples, in multivariable linear regression analyses. Metabolites were measured with liquid chromatography tandem mass spectroscopy. Using a robust two-stage study design, discovery of metabolite associations was conducted among 1109 Women&#8217;s Health Initiative (WHI) Hormone Therapy (HT) trial participants and results replicated in an independent dataset of 810 WHI Observational Study (OS) participants. In both discovery and replication datasets, statistical significance was based on the false-discovery rate adjusted <i>P</i> &lt; 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT &amp; OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; <i>P</i>-trend &lt; 0.0001) in EDIH quintile 5 compared to quintile 1. Twenty-six metabolites were significantly associated with EDIH in the discovery dataset, and 19 of these were replicated in the validation dataset. Nine metabolites were found to decrease in abundance with increasing EDIH scores and included: C14:0 CE, C16:1 CE, C18:1 CE, C18:3 CE, C20:3 CE, C20:5 CE, C36:1 PS plasmalogen, trigonelline, and eicosapentanoate, whereas the 10 metabolites observed to increase with increasing EDIH scores were: C18:2 SM, C36:3 DAG, C36:4 DAG-A, C51:3 TAG, C52:3 TAG, C52:4, TAG, C54:3 TAG, C54:4 TAG, C54:6 TAG, and C10:2 carnitine. Cholesteryl esters, phospholipids, acylglycerols, and acylcarnitines may constitute circulating metabolites that are associated with insulinemic dietary patterns.
topic dietary patterns
insulinemic diets
metabolomics
postmenopausal women
url https://www.mdpi.com/2218-1989/9/6/120
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