Mechanisms of disease: lessons from ethnicity in the role of triglyceride metabolism in ischemic heart disease

Nat Clin Pract Endocrinol Metab. 2007 Jul;3(7):530-8. doi: 10.1038/ncpendmet0530.

Abstract

Mean risk factor levels in various ethnic groups illustrate the potential importance of triglyceride metabolism in the risk for ischemic heart disease (IHD). Serum triglyceride concentrations are a surrogate for a range of potentially atherogenic disturbances in lipoprotein species, including increased concentrations of remnants of VLDL and chylomicron metabolism, increased small, dense LDL concentrations and reduced HDL concentrations. Differences between at-risk groups in lipoprotein profiles reflect alterations in the metabolism of triglycerides that might be greater than differences observed when only circulating triglyceride concentrations are measured. This atherogenic lipoprotein profile is typically found in association with increased visceral fat, insulin resistance and type 2 diabetes and might be a characteristic of Asian Indian ethnicity. By contrast, despite being relatively insulin resistant, Afro-Caribbean men in the UK have a low risk of IHD and lack the adverse lipoprotein profile. This could result from secretion of relatively large proportions of their VLDL as small, triglyceride-poor particles, levels of which are not augmented in response to loss of insulin action. These considerations re-endorse the potential importance of triglyceride metabolism in IHD and present opportunities for identifying useful areas in which drug targets for reducing IHD risk can be sought.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Black People / statistics & numerical data
  • Humans
  • Insulin Resistance
  • Lipid Metabolism
  • Lipoproteins / blood
  • Lipoproteins / metabolism
  • Myocardial Ischemia / blood*
  • Myocardial Ischemia / ethnology
  • Myocardial Ischemia / metabolism
  • Triglycerides / blood*
  • Triglycerides / metabolism
  • White People / statistics & numerical data

Substances

  • Lipoproteins
  • Triglycerides