4.5 Review

High density lipoprotein in atherosclerosis and coronary heart disease: Where do we stand today?

Journal

VASCULAR PHARMACOLOGY
Volume 141, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.vph.2021.106928

Keywords

Atherosclerosis; Coronary heart disease; High density lipoprotein; Structure; Function

Funding

  1. European Union (European Social Fund-ESF) through the Operational Programme <> [MIS-5033021]

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Recent epidemiological studies suggest a U-shaped relationship between HDL-C levels and CVD risk, with optimal range for men 40-70 mg/dl and for women 50-70 mg/dl. HDL particles have different attributes and may be antiatherogenic or proatherogenic based on their structural and functional characteristics. Pharmacological successes in mice may not translate to humans due to important differences between the two species.
Epidemiological studies during the last five years suggest that a relation between high density lipoprotein cholesterol (HDL-C) levels and the risk for cardiovascular disease (CVD) does exist but follows rather a U-shaped curve with an optimal range of HDL-C concentration between 40 and 70 mg/dl for men and 50-70 mg/dl for women. Moreover, as research in the field of lipoproteins progresses it becomes increasingly apparent that HDL particles possess different attributes and depending on their structural and functional characteristics, they may be antiatherogenic or proatherogenic. In light of this information, it is highly doubtful that the choice of experimental drugs and the design of respective clinical trials that put the HDL-C raising hypothesis at test, were the most suitable. Here, we compile the existing literature on HDL, providing a critical up-to-date view that focuses on key data from the biochemistry, epidemiology and pharmacology of HDL, including data from clinical trials. We also discuss the most up-to-date information on the contribution of HDL structure and function to the prevention of atherosclerosis. We conclude by summarizing important differences between mouse models and humans, that may explain why pharmacological successes in mice turn out to be failures in humans.

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