Causal Association Between Heart Failure and Alzheimer's Disease: A Two-Sample Bidirectional Mendelian Randomization...

Area of Science:

• Genetics
• Neurology
• Cardiology

Background:

• Observational studies suggest an association between heart failure (HF) and Alzheimer's disease (AD).
• Traditional studies have limitations including uncontrollable confounders.
• Mendelian randomization (MR) is employed to assess causality, avoiding limitations of observational studies.

Purpose of the Study:

• To evaluate the causal relationship between Alzheimer's disease (AD) and heart failure (HF) using a two-sample bidirectional Mendelian randomization (MR) analysis.
• To investigate the potential causal direction between AD and HF.
• To mitigate biases such as heterogeneity and pleiotropy through sensitivity analyses.

Main Methods:

• A two-sample bidirectional MR analysis was conducted using genetic variants.
• Data were sourced from the UK's Medical Research Council Integrative Epidemiology Unit GWAS database.
• Multiple MR methods (MR-Egger, weighted median, IVW, simple mode, weighted mode) and sensitivity analyses were utilized to ensure robustness.

Main Results:

• No significant causal relationship was found between Alzheimer's disease (AD) and heart failure (HF) across most MR methods.
• While the weighted median method suggested a potential causal effect of HF on AD, this was not supported by other methods with higher statistical power.
• Sensitivity analyses did not detect significant heterogeneity or horizontal pleiotropy.

Conclusions:

• The study found no significant evidence of a causal relationship between heart failure (HF) and Alzheimer's disease (AD) in the European population.
• Further large-scale studies with extensive datasets are recommended to confirm these findings.
• The results contribute to understanding the complex interplay between cardiovascular and neurodegenerative diseases.