4.7 Article

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

Journal

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 71, Issue 6, Pages 620-632

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2017.12.006

Keywords

epidemiology; etiology; intracerebral hemorrhage; ischemic stroke; metabolomics; myocardial infarction

Funding

  1. Cancer Research UK
  2. UK Medical Research Council [MC_UU_12013/1]
  3. Wellcome Trust
  4. British Heart Foundation
  5. Merck
  6. BHF Centre of Research Excellence, Oxford [RE/13/1/30181]
  7. Medicines Company
  8. National Natural Science Foundation of China [81390540, 81390541, 81390544]
  9. Medical Research Council
  10. Chinese Ministry of Science and Technology [2011BAI09B01]
  11. Bayer Germany
  12. AstraZeneca
  13. National Key Research and Development Program of China [2016YFC0900500, 2016YFC0900501, 2016YFC0900504]
  14. UK Wellcome Trust [202922/Z/16/Z, 088158/Z/09/Z, 104085/Z/14/Z]
  15. Abbott/Solvay/Maylan
  16. Kadoorie Charitable Foundation in Hong Kong
  17. National Institute for Health Research Oxford Biomedical Research Centre
  18. University of Bristol
  19. Sigrid Juselius Foundation, Finland
  20. MRC [MC_UU_12026/2, MC_U137686855, MC_UU_12013/1, MC_U137686851] Funding Source: UKRI
  21. British Heart Foundation [FS/18/23/33512] Funding Source: researchfish
  22. Cancer Research UK [16896] Funding Source: researchfish
  23. Medical Research Council [MC_UU_12026/2, MC_U137686851, MC_U137686855] Funding Source: researchfish
  24. Wellcome Trust [212946/Z/18/Z] Funding Source: researchfish

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available