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Independent Causal Effect of Remnant Cholesterol on Atherosclerotic Cardiovascular Outcomes: A Mendelian
Eliano P Navarese1,2,3,4, Donna Vine5, Spencer Proctor5
1Interventional Cardiology and Cardiovascular Medicine Research, Department of Cardiology and Internal Medicine, Nicolaus Copernicus University, Bydgoszcz, Poland (E.P.N., K.G., J.K.).
Insights
Remnant cholesterol (RC) causally increases the risk of coronary artery disease (CAD), myocardial infarction (MI), and stroke. This risk is independent of low-density lipoprotein (LDL) cholesterol levels, suggesting new therapeutic targets.
Area of Science:
- Cardiovascular Genetics
- Lipid Metabolism
- Epidemiology
Background:
- Observational studies link remnant cholesterol (RC) to residual cardiovascular event risk post-low-density lipoprotein (LDL) lowering.
- The causal role of RC in predicting coronary artery disease (CAD), myocardial infarction (MI), and stroke requires further investigation.
Approach:
- A large-scale Mendelian randomization study utilized single-nucleotide polymorphisms for RC and LDL from genome-wide association databases.
- Genetic variants served as instrumental variables to minimize confounding and reverse causation biases inherent in observational studies.
- Data from 958,434 participants were analyzed to estimate genetic associations with cardiovascular outcomes.
Key Points:
- Significant causal effects of RC were observed on the risk of CAD (OR, 1.51), MI (OR, 1.57), and stroke (OR, 1.23).
- The association between RC and CAD/MI risk remained robust even after accounting for LDL cholesterol levels.
- No evidence of pleiotropy was found, strengthening the causal inference.
Conclusions:
- This study demonstrates a strong genetic causal link between RC and major cardiovascular outcomes.
- The cardiovascular risk associated with RC is independent of LDL cholesterol, highlighting RC as a distinct risk factor.
- Future therapeutic strategies should prioritize early screening and long-term inhibition of RC.
Background:
Observational studies suggested that residual risk of cardiovascular events after LDL (low-density lipoprotein) cholesterol lowering may be linked to remnant cholesterol (RC). We conducted a large-scale Mendelian randomization study to investigate the causal role of RC to predict coronary artery disease (CAD), myocardial infarction (MI), and stroke risk.
Methods:
We extracted single-nucleotide polymorphisms for RC and LDL from large-scale genome-wide association databases. We estimated the genetic association with outcomes from the CARDIoGRAMplusC4D consortium (Coronary Artery Disease Genome-Wide Replication and Meta-Analysis Plus the Coronary Artery Disease Genetics), the Metastroke consortium, as well as the GLGC (Global Lipids Genetics Consortium). Genetic variants were used as instruments, thereby minimizing residual confounding and reverse causation biases of observational studies.
Results:
By leveraging data from a combined sample of 958 434 participants, we found evidence for a significant causal effect of RC on the risk of CAD (odds ratio [OR], 1.51 per SD unit increase in RC [95% CI, 1.42-1.60]; P=5.3×10-5), MI (OR, 1.57 [95% CI, 1.21-2.05]; P=9.5×10-4), and stroke (OR, 1.23 [95% CI, 1.12-1.35]; P=3.72×10-6). There was no evidence of pleiotropy. The effect of RC on CAD and MI remained consistent after accounting for the effects of RC-associated genetic variants on LDL cholesterol: OR, 1.49 (95% CI, 1.37-1.61) for CAD and OR, 1.80 (95% CI, 1.70-19.1) for MI without a meaningful indirect effect exerted on these outcomes via the LDL cholesterol mediator.
Conclusions:
This large-scale Mendelian randomization study showed a robust genetic causal association between RC and cardiovascular outcomes. The effect on CAD and MI is independent of LDL cholesterol. Early screening for RC along with long-term inhibition of RC should be the focus of future therapeutic interventions.
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