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Published on: February 14, 2022
Causal Impact of Genetically Predicted Leptin Levels on Atrial Fibrillation Risk: Evidence from Bidirectional
Xiaoyong Huang1,2, Fuyuan Li1,2, Yun Zhang3
1Department of Cardiology, Lishui People's Hospital, the Sixth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China.
Insights
Elevated leptin levels causally increase the risk of atrial fibrillation (AF), independent of body fat. This finding suggests leptin may be a key biomarker for AF susceptibility.
Area of Science:
- Cardiology
- Genetics
- Metabolic Research
Background:
- Atrial fibrillation (AF) is a common arrhythmia with significant health impacts.
- The link between obesity-related adipokines like leptin and AF is unclear regarding causality.
Purpose of the Study:
- To investigate the causal relationship between genetically predicted leptin levels and AF risk using Mendelian randomization.
- To determine if leptin influences AF independently of adiposity.
Main Methods:
- Utilized a bidirectional two-sample Mendelian randomization (MR) framework.
- Employed genetic instruments for leptin from GWAS and AF data from large meta-analyses.
- Applied IVW, weighted median, and MR-RAPS methods with sensitivity analyses.
Main Results:
- Genetically predicted higher leptin levels were significantly associated with increased AF risk (OR=1.18).
- Reverse MR analysis showed no causal effect of AF on leptin levels.
- Sensitivity analyses confirmed the robustness of these findings.
Conclusions:
- This study provides strong genetic evidence for a unidirectional causal link between elevated leptin and AF risk.
- Leptin may serve as a potential biomarker for AF susceptibility, warranting further research into its role in atrial remodeling and therapeutic potential.
Background:
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, contributing substantially to global morbidity and mortality. Although adiposity-related adipokines such as leptin have been associated with AF, the causal direction and independence from confounding factors remain uncertain.
Methods:
We applied a bidirectional two-sample Mendelian randomization (MR) framework to assess the causal relationship between genetically predicted circulating leptin levels and AF risk. Genetic instruments for leptin were obtained from BMI-adjusted genome-wide association studies (GWAS), and AF summary statistics were sourced from large-scale meta-analyses. Causal estimates were derived using inverse variance-weighted (IVW), weighted median, and MR-robust adjusted profile score (MR-RAPS) methods. Reverse MR and sensitivity analyses were conducted to evaluate directionality and robustness.
Results:
Genetically predicted elevated leptin levels were significantly associated with increased AF risk (IVW OR = 1.18, 95% CI: 1.05-1.32, p = 0.005), supported by weighted median (OR = 1.24, 95% CI: 1.07-1.43, p = 0.004) and MR-RAPS (OR = 1.18, 95% CI: 1.05-1.33, p = 0.007) analyses. Reverse MR showed no evidence of a causal effect of AF on leptin levels. Sensitivity analyses confirmed the consistency and robustness of the findings.
Conclusion:
This study provides genetic evidence supporting a unidirectional causal effect of elevated leptin levels on AF risk, independent of adiposity. While these findings highlight leptin as a potential biomarker for AF susceptibility, further mechanistic and translational research is warranted to explore its role in atrial remodeling and therapeutic targeting.
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