Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet

The Mediterranean diet (MD) is a dietary pattern well-known for its benefits in disease prevention. Monitoring adherence to the MD could be improved by discovery of novel dietary biomarkers. The MEDiterranean Diet in Northern Ireland (MEDDINI) intervention study monitored the adherence of participan...

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Main Authors: Shirin Macias, Joseph Kirma, Ali Yilmaz, Sarah E. Moore, Michelle C. McKinley, Pascal P. McKeown, Jayne V. Woodside, Stewart F. Graham, Brian D. Green
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/9/10/201
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spelling doaj-2aa01ca791db4e19b2654cdb76b7e7ed2020-11-25T02:21:22ZengMDPI AGMetabolites2218-19892019-09-0191020110.3390/metabo9100201metabo9100201Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean DietShirin Macias0Joseph Kirma1Ali Yilmaz2Sarah E. Moore3Michelle C. McKinley4Pascal P. McKeown5Jayne V. Woodside6Stewart F. Graham7Brian D. Green8Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UKBeaumont Health, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USABeaumont Health, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USACentre for Public Health, Queen’s University Belfast, Belfast BT12 6BA, UKCentre for Public Health, Queen’s University Belfast, Belfast BT12 6BA, UKSchool of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT9 7BL, UKInstitute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UKBeaumont Health, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USAInstitute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UKThe Mediterranean diet (MD) is a dietary pattern well-known for its benefits in disease prevention. Monitoring adherence to the MD could be improved by discovery of novel dietary biomarkers. The MEDiterranean Diet in Northern Ireland (MEDDINI) intervention study monitored the adherence of participants to the MD for up to 12 months. This investigation aimed to profile plasma metabolites, correlating each against the MD score of participants (n = 58). Based on an established 14-point scale MD score, subjects were classified into two groups (&#8220;low&#8221; and &#8220;high&#8221;). <sup>1</sup>H-Nuclear Magnetic Resonance (<sup>1</sup>H-NMR) metabolomic analysis found that citric acid was the most significant metabolite (<i>p</i> = 5.99 &#215; 10<sup>&#8722;4</sup>*; <i>q</i> = 0.03), differing between &#8216;low&#8217; and &#8216;high&#8217;. Furthermore, five additional metabolites significantly differed (<i>p</i> &lt; 0.05; <i>q</i> &lt; 0.35) between the two groups. Discriminatory metabolites included: citric acid, pyruvic acid, betaine, mannose, acetic acid and <i>myo</i>-inositol. Additionally, the top five most influential metabolites in multivariate models were also citric acid, pyruvic acid, betaine, mannose and <i>myo</i>-inositol. Metabolites significantly correlated with the consumption of certain food types. For example, citric acid positively correlated fruit, fruit juice and vegetable constituents of the diet, and negatively correlated with sweet foods alone or when combined with carbonated drinks. Citric acid was the best performing biomarker and this was enhanced by paired ratio with pyruvic acid. The present study demonstrates the utility of metabolomic profiling for effectively assessing adherence to MD and the discovery of novel dietary biomarkers.https://www.mdpi.com/2218-1989/9/10/201biomarkersdietary patternsmediterranean dietmetabolomics<sup>1</sup>h-nmr
collection DOAJ
language English
format Article
sources DOAJ
author Shirin Macias
Joseph Kirma
Ali Yilmaz
Sarah E. Moore
Michelle C. McKinley
Pascal P. McKeown
Jayne V. Woodside
Stewart F. Graham
Brian D. Green
spellingShingle Shirin Macias
Joseph Kirma
Ali Yilmaz
Sarah E. Moore
Michelle C. McKinley
Pascal P. McKeown
Jayne V. Woodside
Stewart F. Graham
Brian D. Green
Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
Metabolites
biomarkers
dietary patterns
mediterranean diet
metabolomics
<sup>1</sup>h-nmr
author_facet Shirin Macias
Joseph Kirma
Ali Yilmaz
Sarah E. Moore
Michelle C. McKinley
Pascal P. McKeown
Jayne V. Woodside
Stewart F. Graham
Brian D. Green
author_sort Shirin Macias
title Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
title_short Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
title_full Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
title_fullStr Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
title_full_unstemmed Application of <sup>1</sup>H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet
title_sort application of <sup>1</sup>h-nmr metabolomics for the discovery of blood plasma biomarkers of a mediterranean diet
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2019-09-01
description The Mediterranean diet (MD) is a dietary pattern well-known for its benefits in disease prevention. Monitoring adherence to the MD could be improved by discovery of novel dietary biomarkers. The MEDiterranean Diet in Northern Ireland (MEDDINI) intervention study monitored the adherence of participants to the MD for up to 12 months. This investigation aimed to profile plasma metabolites, correlating each against the MD score of participants (n = 58). Based on an established 14-point scale MD score, subjects were classified into two groups (&#8220;low&#8221; and &#8220;high&#8221;). <sup>1</sup>H-Nuclear Magnetic Resonance (<sup>1</sup>H-NMR) metabolomic analysis found that citric acid was the most significant metabolite (<i>p</i> = 5.99 &#215; 10<sup>&#8722;4</sup>*; <i>q</i> = 0.03), differing between &#8216;low&#8217; and &#8216;high&#8217;. Furthermore, five additional metabolites significantly differed (<i>p</i> &lt; 0.05; <i>q</i> &lt; 0.35) between the two groups. Discriminatory metabolites included: citric acid, pyruvic acid, betaine, mannose, acetic acid and <i>myo</i>-inositol. Additionally, the top five most influential metabolites in multivariate models were also citric acid, pyruvic acid, betaine, mannose and <i>myo</i>-inositol. Metabolites significantly correlated with the consumption of certain food types. For example, citric acid positively correlated fruit, fruit juice and vegetable constituents of the diet, and negatively correlated with sweet foods alone or when combined with carbonated drinks. Citric acid was the best performing biomarker and this was enhanced by paired ratio with pyruvic acid. The present study demonstrates the utility of metabolomic profiling for effectively assessing adherence to MD and the discovery of novel dietary biomarkers.
topic biomarkers
dietary patterns
mediterranean diet
metabolomics
<sup>1</sup>h-nmr
url https://www.mdpi.com/2218-1989/9/10/201
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