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Association of circulating metabolites in plasma or serum and risk of stroke: Meta-analysis from seven prospective cohorts

Vojinovic D, Kalaoja M, Trompet S, Fischer K, Shipley M, Li S, Havulinna A, Perola M, Salomaa V, Yang Q, Sattar N, Jousilahti P, Amin N, Satizabal C, Taba N, Sabayan B, Vasan R, Ikram M, Stott D, Ala-Korpela M, Jukema J, Seshadri S, Kettunen J, Kivimaki M, Esko T, Duijn C (2020) Neurology Dec 2;10.1212 doi: 10.1212/WNL.0000000000011236. Online ahead of print. 

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Objective: To conduct a comprehensive analysis of circulating metabolites and incident stroke in large prospective population-based settings.

Methods: We investigated the association of metabolites with risk of stroke in seven prospective cohort studies including 1,791 incident stroke events among 38,797 participants in whom circulating metabolites were measured by Nuclear Magnetic Resonance (1H-NMR) technology. The relationship between metabolites and stroke was assessed using Cox proportional hazards regression models. The analyses were performed considering all incident stroke events and ischemic and hemorrhagic events separately.

Results: The analyses revealed ten significant metabolite associations. Amino acid histidine (hazard ratio (HR) per standard deviation (SD) = 0.90, 95% confidence interval (CI): 0.85, 0.94; P = 4.45×10-5), glycolysis-related metabolite pyruvate (HR per SD = 1.09, 95% CI: 1.04, 1.14; P = 7.45×10-4), acute phase reaction marker glycoprotein acetyls (HR per SD = 1.09, 95% CI: 1.03, 1.15; P = 1.27×10-3), cholesterol in high-density lipoprotein (HDL) 2 and several other lipoprotein particles were associated with risk of stroke. When focusing on incident ischemic stroke, a significant association was observed with phenylalanine (HR per SD = 1.12, 95% CI: 1.05, 1.19; P = 4.13×10-4) and total and free cholesterol in large HDL particles.

Conclusions: We found association of amino acids, glycolysis-related metabolites, acute phase reaction markers, and several lipoprotein subfractions with the risk of stroke. These findings support the potential of metabolomics to provide new insights into the metabolic changes preceding stroke.


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