Exploring the Therapeutic Potential of Antidiabetic Drugs in Cardiac Arrhythmia Management: A Drug Target Mendelian Randomization Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: ABSTRACT Background Cardiac arrhythmias pose a major health concern while the role of antidiabetic medications in cardiac arrhythmic risks is not fully understood. Method We conducted a two‐sample Mendelian Randomization (MR) analysis using genetic instruments extracted from hemoglobin A1C (HbA1c) as proxies for antidiabetic drug targets to evaluate their causal relationship with five cardiac arrhythmias derived from the Finngen database. Summary‐data‐based Mendelian randomization (SMR) utilizing gene expression data from the eQTLgen consortium was further employed to assess the role of antidiabetic drug targets in cardiac arrhythmias from the gene expression perspective. Results Three significant associations were identified. Sulfonylurea targets KCNJ11/ABCC8 were associated with a decreased incidence of paroxysmal tachycardia (OR: 0.69, 95% CI: 0.56, 0.86, P FDR = 0.022). Sodium‐glucose cotransporter 2 inhibitor (SGLT2i) target SLC5A2 was linked to a reduced risk of right bundle branch block (OR: 0.85, 95% CI: 0.77, 0.94, PFDR = 0.022), and thiazolidinediones (TZDs) targeting RXRB were associated with a lowered atrial fibrillation occurrence (OR: 0.88, 95% CI: 0.82, 0.94, P FDR = 0.019). No significant relationships were found between any antidiabetic drug targets and left bundle branch block or atrioventricular block. SMR analysis indicated that lowered expression of KCNJ11 was related to a decreased paroxysmal tachycardia risk (OR: 1.05, 95% CI: 1.01, 1.08, P SMR = 0.010), further confirming the role of KCNJ11 in paroxysmal tachycardia. Conclusion Our findings suggest that several antidiabetic drug targets may have potential therapeutic applications in the management of cardiac arrhythmias.
Source: Journal of Arrhythmia
DOI: 10.1002/joa3.70241
Authors: Zheng‐Qi Song, Zhi‐Bo Zhou, Bo‐Xiang Wang, Sheng‐Ke Wu, Yi‐Han Sun, Yi‐He Chen, Su‐Yin Feng, Run‐Feng Sun
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,540
Award: G6846586641
OpenAlex ID: W4417024360
