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Ethnic differences in HDL quantity, quality, and potential associations with coronary heart disease risk
Sabrina Scilletta1, Paul Welsh2, Jack David Beazer2
1School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK; Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Insights
Ethnic variations in high-density lipoprotein cholesterol (HDL-c) are linked to coronary heart disease (CHD) risk. Differences in HDL-c levels between ethnic groups are largely explained by adiposity and physical activity, but HDL subfractions may offer stronger CHD risk prediction in South Asians.
Area of Science:
- Cardiovascular Health
- Metabolomics
- Health Disparities
Background:
- Ethnic disparities in coronary heart disease (CHD) risk exist.
- High-density lipoprotein cholesterol (HDL-c) levels and subfractions may influence these disparities.
- The clinical significance of HDL-c and its variations across ethnic groups requires clarification.
Purpose of the Study:
- To investigate ethnic differences in HDL cholesterol (HDL-c) quantity and quality.
- To examine the association of HDL measures with CHD risk across different ethnic groups.
- To determine the impact of sociodemographic, clinical, adiposity, and physical activity factors on these associations.
Main Methods:
- Analysis of HDL-c and ten HDL metabolomic measures in UK Biobank participants.
- Cox proportional hazards models stratified by ethnicity to assess CHD risk.
- Linear regression to evaluate ethnic differences in HDL-c, with sequential adjustments for covariates.
Main Results:
- HDL-c concentrations were lower in South Asian and Black participants compared to White participants, with differences attenuated by adiposity and physical activity.
- HDL-c was inversely associated with CHD risk across all ethnicities, showing the strongest association in South Asians.
- Specific HDL subfractions, like large HDL particles and average HDL diameter, demonstrated stronger inverse associations with CHD in South Asian individuals.
Conclusions:
- Observed ethnic differences in HDL-c are primarily attributable to variations in physical activity and adiposity.
- HDL quantity and quality metrics may be more potent predictors of CHD risk in South Asian individuals.
- Further research is needed to understand the clinical and biological utility of HDL measures in diverse populations.
Background And Aims:
Ethnic differences in HDL cholesterol (HDL-c) may help explain disparities in coronary heart disease (CHD) risk, but the clinical interpretation of HDL-c and its metabolomic subfractions across populations remains unclear.
Methods:
We examined HDL quantity and quality in relation to ethnicity and CHD risk in UK Biobank. HDL-c and ten metabolomic HDL measures (reflecting particle size and lipid composition) were analyzed in relation to CHD using Cox models stratified by ethnicity. Linear regression assessed differences in HDL-c by ethnicity. Models were sequentially adjusted for sociodemographic, clinical, adiposity, and physical activity variables.
Results:
After adjustment, HDL-c concentrations were modestly lower in South Asian (-0.091 mmol/L) and Black (-0.025 mmol/L) participants compared to White participants. These differences were substantially attenuated after further adjustment for adiposity and physical activity. HDL-c was inversely associated with CHD across all ethnic groups, with the strongest association in South Asian (HR per SD: 0.40 [0.29-0.54]) compared with White participants (HR: 0.64 [0.61-0.67]). Several HDL subfractions (particularly large HDL particles and average HDL diameter) showed stronger inverse associations with CHD in South Asian participants compared to other ethnic groups.
Conclusions:
Lower HDL-c concentrations in South Asian and Black vs White participants appear largely driven by differential physical activity and/or adiposity measures. In South Asian individuals, HDL quantity and quality measures may be more strongly predictive of risk, warranting further investigation into their clinical and biological utility in diverse populations.
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