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Causal Effect of Low-Density Lipoprotein Cholesterol on Chronic Kidney Disease: A Mendelian Randomization Study
Dongming Zhou1, Kangchao Zheng2, Suwei Zhang1
1Department of Clinical Laboratory, Shantou Central Hospital, Shantou, Guangdong, China, sthospital.com.
Insights
Low-density lipoprotein cholesterol (LDL-C) is causally linked to increased chronic kidney disease (CKD) risk. This Mendelian randomization study confirms LDL-C as an independent risk factor for CKD, even after accounting for other lipids and lifestyle factors.
Area of Science:
- Nephrology
- Cardiovascular Science
- Genetics
Background:
- Dyslipidemia is frequently observed in patients with chronic kidney disease (CKD).
- Establishing a causal link between specific lipid profiles, like low-density lipoprotein cholesterol (LDL-C), and CKD has been challenging due to limitations in observational studies.
- Previous Mendelian randomization (MR) studies investigating the causal relationship between LDL-C and CKD have yielded inconsistent results.
Purpose of the Study:
- To investigate the potential causal relationship between LDL-C and CKD using a robust MR framework.
- To evaluate the independence of the association between LDL-C and CKD, considering other lipid traits and lifestyle factors.
Main Methods:
- A two-sample and multivariable Mendelian randomization (MVMR) approach was utilized.
- Genetic data from the IEU Open GWAS and UK Biobank were employed for two-sample and reverse MR analyses.
- MVMR was performed to assess the independent effect of LDL-C, adjusting for other lipids, body mass index (BMI), smoking, and alcohol consumption, with sensitivity analyses for robustness.
Main Results:
- Two-sample MR analyses revealed a significant causal effect of higher LDL-C on increased CKD risk, with consistent findings across different data sources and no evidence of reverse causation.
- MVMR confirmed that LDL-C remained significantly associated with CKD risk after adjusting for other lipid traits (OR=1.21, p=0.0007).
- Further adjustment for BMI, smoking, and alcohol in the MVMR model also indicated a consistent, albeit slightly attenuated, association between LDL-C and CKD risk (OR=1.14, p=0.068).
Conclusions:
- LDL-C may act as an independent risk factor contributing to the development or progression of CKD.
- The independent contribution of LDL-C to CKD risk warrants further investigation and validation.
- These findings underscore the importance of managing LDL-C levels in the context of CKD prevention and management.
Background:
While dyslipidemia is associated with chronic kidney disease (CKD), conventional observational studies cannot establish causality, and previous Mendelian randomization (MR) findings on low-density lipoprotein cholesterol (LDL-C) and CKD remain inconsistent.
Objective:
To further investigate the causal relationship between LDL-C and CKD using MR and evaluate its independence.
Methods:
We employed a two-sample and multivariable MR (MVMR) framework. Initially, two-sample and reverse MR analyses were performed for four lipid traits on CKD using genetic data from the IEU Open GWAS and the UK Biobank separately, with a Bonferroni-corrected significance threshold of p < 0.0125. Subsequently, MVMR was conducted to assess the independent effect of LDL-C after adjusting for other lipid traits (p < 0.05). Finally, an MVMR model incorporating LDL-C, smoking, alcohol consumption, and body mass index (BMI) was fitted to test the independence from these lifestyle confounders, followed by a sensitivity analysis with linkage disequilibrium-based confounder filtering to verify robustness.
Results:
Two-sample MR showed a significant causal effect of LDL-C on increased CKD risk (IEU source: OR = 1.13, 95% CI: 1.03-1.23, p < 0.01; consistent results from UK Biobank), with no evidence of reverse causation. MVMR confirmed the independence of this association: LDL-C remained significantly associated with CKD after adjusting for other lipid traits (OR = 1.21, 95% CI: 1.08-1.35, p = 0.0007) and after further adjustment for BMI, smoking, and alcohol (OR = 1.14, 95% CI: 1.04-1.25, p = 0.068). The effect direction remained consistent in the stringent sensitivity analysis.
Conclusion:
LDL-C may be an independent risk factor for CKD, the independence of which warrants further validation.
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