4.3 Review

The impact of race and ethnicity on lipoprotein(a) levels and cardiovascular risk

Journal

CURRENT OPINION IN LIPIDOLOGY
Volume 32, Issue 3, Pages 163-166

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MOL.0000000000000753

Keywords

cardiovascular disease; ethnicity; lipoprotein(a); race

Funding

  1. NHLBI NIH HHS [R01 HL139759] Funding Source: Medline

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Lp(a) is a unique lipoprotein with genetic and racial variations, playing a significant role in cardiovascular disease risk. Limited representation of minority populations in published literature and lack of standardization in commercial assays present challenges in assessing individual risk levels. Further research is needed to understand the risk differences across diverse populations.
Purpose of review Lipoprotein(a) [Lp(a)] is a plasma circulating apoB100 (apoB) containing lipoprotein. It has a unique glycoprotein bound to the apoB100, apolipoprotein(a) [apo(a)]. The majority of the population expresses two apo(a) isoforms, when bound to apoB100 they create two circulating Lp(a) particles. Lp(a) levels are genetically determined and epidemiological studies have established elevated levels of Lp(a) to be a causal risk factor of cardiovascular disease (CVD). Lp(a) levels differ across racial groups and Blacks of Sub-Saharan decent have higher levels when compared to white. In comparison to white populations, studies in minorities are less represented in the published literature. Additionally, there is a lack of standardization in the commercial assays used to measured Lp(a) levels, and hence it is difficult to assess risk based on individual Lp(a) levels, but risk seems to occur in the upper percentiles of the population. Recent findings A recent study using data from the UK biobank highlights the racial differences in Lp(a) levels and the increase risk in CVD amongst all races. This review will highlight Lp(a) biology and physiology with a focus on available data from racially diverse cohorts. There is a need to perform studies in diverse populations to understand if they are at higher risk than whites are.

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