Diastolic Left Ventricular Function in Relation to Circulating Metabolic Biomarkers in a General Population

Author:

Zhang Zhen‐Yu1,Marrachelli Vannina G.2,Thijs Lutgarde1,Yang Wen‐Yi1,Wei Fang‐Fei1,Monleon Daniel2,Jacobs Lotte1,Nawrot Tim34,Verhamme Peter5,Voigt Jens‐Uwe6,Kuznetsova Tatiana1,Redón Josep2789,Staessen Jan A.110

Affiliation:

1. Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium

2. Metabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia (INCLIVA), Valencia, Spain

3. Centre for Environmental Sciences, University of Hasselt, Diepenbeek, Belgium

4. Research Unit Environment and Health, KU Leuven Department of Public Health and Primary Care, University of Leuven, Belgium

5. Centre for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium

6. Research Unit Cardiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium

7. Hypertension Unit, Division of Internal Medicine, Hospital Clinico, University of Valencia, Spain

8. Centro de Investigación Biomédica de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Madrid, Spain

9. Instituto de Salud Carlos III, Madrid, Spain

10. R & D Group VitaK, Maastricht University, Maastricht, The Netherlands

Abstract

Background The metabolic signature associated with subclinical diastolic left ventricular ( LV ) dysfunction in the population remains ill defined. Methods and Results In 711 randomly recruited Flemish (50.8% women; mean age, 50.8 years), we assessed echocardiographic Doppler indexes of diastolic LV function in relation to 44 circulating metabolites determined by nuclear magnetic resonance spectroscopy. In multivariable‐adjusted regression analysis with Bonferroni correction of significance levels applied, peak a’ decreased ( P ≤0.048) and e’/a’ increased ( P ≤0.044) with circulating tyrosine, high‐density lipoprotein apolipoproteins, glucose+glutamine, and an unidentified molecule. Effect sizes expressed per 1‐ SD increment in the metabolite ranged from −0.277 to −0.203 cm/s for peak a’ and from +0.047 to +0.054 for e’/a’. In addition, peak a’ decreased ( P ≤0.031) with glucose+2‐aminobutyrate (−0.261 cm/s) and glucose+2‐phosphoglycerate (−0.209 cm/s). In partial least square discriminant analysis ( PLSDA ), metabolites associated with normal diastolic LV function (n=538) included glucose+glutamine, glucose+2‐aminobutyrate, and glucose+2‐phosphoglycerate, whereas those siding with abnormal function encompassed 4‐aminobutyrate, 4‐hydroxybutyrate, creatinine, and phosphocholine. In receiver operating characteristics plots, adding 3 latent factors identified by PLSDA to prohormone brain natriuretic peptide increased ( P <0.0001) the area under the curve from 0.64 (95% CI , 0.58–0.68) to 0.73 (0.68–0.78). Conclusions In a general population, circulating metabolites indicative of energy substrate utilization and protection against oxidative stress differentiated normal from abnormal diastolic LV function. These findings improve our understanding of the pathophysiology underlying deterioration of diastolic LV function and potentially point to new targets for prevention and treatment of this condition.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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