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Triglyceride-Glucose Index and the Risk of Calcific Aortic Valve Stenosis: A Bidirectional Mendelian Randomization
Xuecheng Song1,2, Xinghong Lin1, Xin Xu1
1Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou City, China
Insights
This study found that a higher triglyceride-glucose (TyG) index causally increases the risk of calcific aortic valve stenosis (CAVS). This highlights the TyG index as a potential biomarker for CAVS development.
Area of Science:
- Cardiovascular Medicine
- Metabolic Syndrome
- Genetic Epidemiology
Background:
- Calcific aortic valve stenosis (CAVS) is a prevalent valvular heart disease linked to metabolic and inflammatory issues.
- The triglyceride-glucose (TyG) index, a marker for insulin resistance and inflammation, is associated with cardiovascular diseases.
- The causal link between the TyG index and CAVS requires further investigation.
Purpose of the Study:
- To investigate the potential causal relationship between the triglyceride-glucose (TyG) index and calcific aortic valve stenosis (CAVS).
- To utilize bidirectional Mendelian randomization (MR) to assess this association.
Main Methods:
- Employed two-sample and multiple Mendelian randomization (MR) analyses using genome-wide association study data.
- Utilized inverse variance weighted (IVW), MR-Egger, and weighted median methods for robust association testing.
- Performed sensitivity analyses to detect horizontal pleiotropy and confirm findings.
Main Results:
- A significant causal effect was found: a 1-unit increase in the TyG index was associated with a 1.50-fold increased risk of CAVS.
- Sensitivity analyses confirmed the robustness of the findings and indicated no significant horizontal pleiotropy.
- Multiple MR analyses, adjusting for confounders, reinforced the significant association (OR = 1.64).
Conclusions:
- This Mendelian randomization study provides strong evidence for a causal effect of a higher triglyceride-glucose (TyG) index on the risk of calcific aortic valve stenosis (CAVS).
- The findings suggest the TyG index may serve as a valuable biomarker for predicting CAVS risk.
Background:
Calcific aortic valve stenosis (CAVS), the predominant valvular heart disease in developed countries, arises primarily from metabolic and inflammatory dysregulation. The triglyceride-glucose (TyG) index, a composite biomarker of insulin resistance and systemic inflammation, has been associated with cardiovascular diseases. However, its causal association with CAVS remains unclear. This study employs bidirectional Mendelian randomization (MR) to elucidate the potential causal relationship between the TyG index and CAVS.
Methods:
Genome-wide association study) summary statistics of TyG index and CAVS were obtained from UK-biobank cohort (n = 273 368) and FinnGen database (cases = 12 418 and controls = 487 930). Two-sample MR and multiple MR analyses were conducted to evaluate the association of TyG index with CAVS. The primary method was inverse variance weighted (IVW), complemented by MR-Egger, weighted median, and sensitivity analyses to ensure robustness.
Results:
The MR analysis demonstrated a significant causal effect of the higher TyG index (per 1-unit increment of TyG index) on CAVS risk (odds ratio [OR] = 1.50, P = .007, 95% CI: 1.12-2.02). Similar causal relationships were observed for triglyceride and glucose levels with CAVS. Sensitivity analyses confirmed robustness with no evidence of horizontal pleiotropy (P > .05). This association remained statistically significant in multiple MR analyses after adjusting for potential confounders (OR = 1.64, P = .003, 95% CI: 1.18-2.28). No reverse causality from CAVS to the TyG index was detected.
Conclusion:
This MR study provides evidence supporting the causal effect of higher TyG index on CAVS.
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