Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke

Michael V. Holmes(National Institute for Health and Care Research), Iona Y. Millwood(University of Oxford), Christiana Kartsonaki(University of Oxford), Michael Hill(University of Oxford), Derrick Bennett(University of Oxford), Ruth Boxall(University of Oxford), Canqing Yu(Chinese Academy of Medical Sciences & Peking Union Medical College), Xin Xu(Liu Zhou Center for Disease Prevention and Control), Zheng Bian(Chinese Academy of Medical Sciences & Peking Union Medical College), Ruying Hu(Zhejiang Center for Disease Control and Prevention), Robin Walters(University of Oxford), Junshi Chen(China National Center for Food Safety Risk Assessment), Mika Ala‐Korpela(Baker Heart and Diabetes Institute), Sarah Parish(University of Oxford), Robert J. Clarke(University of Oxford), Richard Peto(University of Oxford), Rory Collins(University of Oxford), Liming Li(Chinese Academy of Medical Sciences & Peking Union Medical College), Zhengming Chen(University of Oxford)
Journal of the American College of Cardiology
February 1, 2018
Cited by 516Open Access
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Abstract

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: In a nested case-control study (912 MI, 1,146 IS, and 1,138 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) for a 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 acetyls, ketone bodies, glucose, and docosahexaenoic acid 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 MI. Glycoprotein acetyls and several non-lipid-related metabolites associated with all 3 diseases.


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