Document Type
Article
Publication Date
10-18-2022
Publication Title
Cell Reports Medicine
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 tar-gets 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 meth-odologies to identify repurposed drugs for AF treatment and identifies metformin as a candidate drug.
DOI
10.1016/j.xcrm.2022.100749
Version
Publisher's PDF
Recommended Citation
Lal, Jessica C.; Mao, Chengsheng; Zhou, Yadi; Gore-Panter, Shamone R.; Rennison, Julie H.; Lovano, Beth S.; and al, et., "Transcriptomics-Based Network Medicine Approach Identifies Metformin as a Repurposable Drug for Atrial Fibrillation" (2022). Biological, Geological, and Environmental Faculty Publications. 272.
https://engagedscholarship.csuohio.edu/scibges_facpub/272
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Volume
3
Issue
10
