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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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’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> < 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT & OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; <i>P</i>-trend < 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’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> < 0.05. In the multivariable-adjusted analyses, EDIH was significantly associated with c-peptide concentrations among 919 women (HT & OS) with c-peptide data. On average, c-peptide concentrations were 18% higher (95% CI, 6%, 32%; <i>P</i>-trend < 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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