Journal
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 71, Issue 6, Pages 620-632Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2017.12.006
Keywords
epidemiology; etiology; intracerebral hemorrhage; ischemic stroke; metabolomics; myocardial infarction
Categories
Funding
- Cancer Research UK
- UK Medical Research Council [MC_UU_12013/1]
- Wellcome Trust
- British Heart Foundation
- Merck
- BHF Centre of Research Excellence, Oxford [RE/13/1/30181]
- Medicines Company
- National Natural Science Foundation of China [81390540, 81390541, 81390544]
- Medical Research Council
- Chinese Ministry of Science and Technology [2011BAI09B01]
- Bayer Germany
- AstraZeneca
- National Key Research and Development Program of China [2016YFC0900500, 2016YFC0900501, 2016YFC0900504]
- UK Wellcome Trust [202922/Z/16/Z, 088158/Z/09/Z, 104085/Z/14/Z]
- Abbott/Solvay/Maylan
- Kadoorie Charitable Foundation in Hong Kong
- National Institute for Health Research Oxford Biomedical Research Centre
- University of Bristol
- Sigrid Juselius Foundation, Finland
- MRC [MC_UU_12026/2, MC_U137686855, MC_UU_12013/1, MC_U137686851] Funding Source: UKRI
- British Heart Foundation [FS/18/23/33512] Funding Source: researchfish
- Cancer Research UK [16896] Funding Source: researchfish
- Medical Research Council [MC_UU_12026/2, MC_U137686851, MC_U137686855] Funding Source: researchfish
- Wellcome Trust [212946/Z/18/Z] Funding Source: researchfish
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BACKGROUND Blood lipids are established risk factors for myocardial infarction (MI), but uncertainty persists about the relevance of lipids, lipoprotein particles, and circulating metabolites for MI and stroke subtypes. OBJECTIVES This study sought to investigate the associations of plasma metabolic markers with risks of incident MI, ischemic stroke (IS), and intracerebral hemorrhage (ICH). METHODS hi a nested case-control study (912 MI, 1,146 IS, and 1138 ICH cases, and 1,466 common control subjects) 30 to 79 years of age in China Kadoorie Biobank, nuclear magnetic resonance spectroscopy measured 225 metabolic markers in baseline plasma samples. Logistic regression was used to estimate adjusted odds ratios (ORs) fora 1-SD higher metabolic marker. RESULTS Very low-, intermediate-, and low-density lipoprotein particles were positively associated with MI and IS. High-density lipoprotein (HDL) particles were inversely associated with MI apart from small HDL. In contrast, no lipoprotein particles were associated with ICH. Cholesterol in large HDL was inversely associated with MI and IS (OR: 0.79 and 0.88, respectively), whereas cholesterol in small HDL was not (OR: 0.99 and 1.06, respectively). Triglycerides within all lipoproteins, including most HDL particles, were positively associated with MI, with a similar pattern for IS. Glycoprotein acetyts, ketone bodies, glucose, and docosahexaenoic add were associated with all 3 diseases. The 225 metabolic markers showed concordant associations between MI and IS, but not with ICH. CONCLUSIONS Lipoproteins and lipids showed similar associations with MI and IS, but not with ICH. Within HDL particles, cholesterol concentrations were inversely associated, whereas triglyceride concentrations were positively associated with ML Glycoprotein acetyls and several non-lipid-related metabolites associated with all 3 diseases. (C) 2018 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.
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