Artery Research

Volume 12, Issue C, December 2015, Pages 39 - 39

1.1 DIASTOLIC LEFT VENTRICULAR FUNCTION IN RELATION TO CIRCULATING METABOLIC BIOMARKERS IN A GENERAL POPULATION

Authors
Zhen Yu Zhang*1, Vannina Marrachelli2, Lutgarde Thijs1, Wen Yi Yang1, Fang Fei Wei1, Daniel Monleon2, Lotte Jacobs1, Tim Nawrot3, 4, Peter Verhamme5, Jens-Uwe Voigt6, Tatiana Kuznetsova1, Josep Redón2, 7, Jan Staessen1, 8
1Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven, Leuven, Belgium
2Metabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia, Valencia, Spain
3Centre for Environmental Sciences, University of Hasselt, Diepenbeek, Belgium
4Research Unit Environment and Health, KU Leuven Department of Public Health and Primary Care, University of Leuven, Leuven, Belgium
5Centre for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
6Research Unit Cardiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, leuven, Belgium
7Hypertension Unit, Division of Internal Medicine, Hospital Clinico, University of Valencia, Valencia, Spain
8R & D Group VitaK, Maastricht University, Maastricht, The Netherlands
Available Online 23 November 2015.
DOI
10.1016/j.artres.2015.10.002How to use a DOI?
Abstract

Background: The metabolic signature associated with subclinical diastolic left ventricular (LV) dysfunction in the general population is unknown.

Objectives: This population study aimed at identifying a specific profile of circulating me-tabolites associated with asymptomatic diastolic LV dysfunction.

Methods: In 711 randomly recruited Flemish (50.8% women; mean age, 50.8 years), we assessed echocardiographic indexes of diastolic LV function in relation to 44 circulating metabolites determined by nuclear magnetic resonance spectroscopy. Statistical methods included multivariable-adjusted regression analyses and partial least square discriminant analysis (PLS DA).

Results: In multivariable analyses with Bonferroni correction, a′ was inversely and e′/a′ was positively correlated (p ≤ 0.048) with circulating tyrosine, HDL apolipoproteins, glucose + glutamine, and an unidentified molecule, while a′ was also inversely associated with glucose + 2 aminobutyrate and glucose + 2 phosphoglycerate (p ≤ 0.031). PLS-DA identified three latent factors accounting for 54.4% of the variance. The metabolites associated with better diastolic LV function included, amongst others, glucose + glutamine (variable importance in projection score, 1.201), glucose + 2 aminobutyrate (1.185), and glucose + 2 phosphoglycerate (1.172). The three latent factors, compared with N-terminal prohormone brain natriuretic peptide, increased (p < 0.0001) the area under the curve from 0.64 to 0.73.

Conclusions: In the general population, diastolic LV function is associated with a profile of circulating metabolites indicative of energy substrate utilization and protection against oxidative stress. These metabolic markers might lead to the discovery of new targets for prevention and treatment of diastolic LV dysfunction at a subclinical and still reversible stage.

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Journal
Artery Research
Volume-Issue
12 - C
Pages
39 - 39
Publication Date
2015/11/23
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.1016/j.artres.2015.10.002How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Zhen Yu Zhang*
AU  - Vannina Marrachelli
AU  - Lutgarde Thijs
AU  - Wen Yi Yang
AU  - Fang Fei Wei
AU  - Daniel Monleon
AU  - Lotte Jacobs
AU  - Tim Nawrot
AU  - Peter Verhamme
AU  - Jens-Uwe Voigt
AU  - Tatiana Kuznetsova
AU  - Josep Redón
AU  - Jan Staessen
PY  - 2015
DA  - 2015/11/23
TI  - 1.1 DIASTOLIC LEFT VENTRICULAR FUNCTION IN RELATION TO CIRCULATING METABOLIC BIOMARKERS IN A GENERAL POPULATION
JO  - Artery Research
SP  - 39
EP  - 39
VL  - 12
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2015.10.002
DO  - 10.1016/j.artres.2015.10.002
ID  - Zhang*2015
ER  -