Transcriptomics-based Network Medicine Approach Identifies Metformin As a Repurposable Drug for Atrial Fibrillation

Overview

Journal Cell Rep Med

Publisher Cell Press

Specialties Biology
General Medicine

Date 2022 Oct 12

PMID 36223777

Authors

Jessica C Lal

Chengsheng Mao

Yadi Zhou

Shamone R Gore-Panter

Julie H Rennison

Beth S Lovano

Laurie Castel

Jiyoung Shin

A Marc Gillinov

Jonathan D Smith

John Barnard

David R Van Wagoner

Yuan Luo

Feixiong Cheng

Mina K Chung

Affiliations

Soon will be listed here.

Abstract

Effective drugs for atrial fibrillation (AF) are lacking, resulting in significant morbidity and mortality. This study demonstrates that network proximity analysis of differentially expressed genes from atrial tissue to drug targets can help prioritize repurposed drugs for AF. Using enrichment analysis of drug-gene signatures and functional testing in human inducible pluripotent stem cell (iPSC)-derived atrial-like cardiomyocytes, we identify metformin as a top repurposed drug candidate for AF. Using the active compactor, a new design analysis of large-scale longitudinal electronic health record (EHR) data, we determine that metformin use is significantly associated with a reduced risk of AF (odds ratio = 0.48, 95%, confidence interval [CI] 0.36-0.64, p < 0.001) compared with standard treatments for diabetes. This study utilizes network medicine methodologies to identify repurposed drugs for AF treatment and identifies metformin as a candidate drug.

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