A genetically supported drug repurposing pipeline for diabetes treatment using electronic health recordsResearch in context

Bibliographic Details
Title: A genetically supported drug repurposing pipeline for diabetes treatment using electronic health recordsResearch in context
Authors: Megan M. Shuey, Kyung Min Lee, Jacob Keaton, Nikhil K. Khankari, Joseph H. Breeyear, Venexia M. Walker, Donald R. Miller, Kent R. Heberer, Peter D. Reaven, Shoa L. Clarke, Jennifer Lee, Julie A. Lynch, Marijana Vujkovic, Todd L. Edwards
Source: EBioMedicine, Vol 94, Iss , Pp 104674- (2023)
Publisher Information: Elsevier, 2023.
Publication Year: 2023
Collection: LCC:Medicine
LCC:Medicine (General)
Subject Terms: Drug-repurposing, Mendelian randomization, Transcriptome-wide association study, Diabetes, Glucose, Hemoglobin A1c, Medicine, Medicine (General), R5-920
More Details: Summary: Background: The identification of new uses for existing drug therapies has the potential to identify treatments for comorbid conditions that have the added benefit of glycemic control while also providing a rapid, low-cost approach to drug (re)discovery. Methods: We developed and tested a genetically-informed drug-repurposing pipeline for diabetes management. This approach mapped genetically-predicted gene expression signals from the largest genome-wide association study for type 2 diabetes mellitus to drug targets using publicly available databases to identify drug–gene pairs. These drug–gene pairs were then validated using a two-step approach: 1) a self-controlled case-series (SCCS) using electronic health records from a discovery and replication population, and 2) Mendelian randomization (MR). Findings: After filtering on sample size, 20 candidate drug–gene pairs were validated and various medications demonstrated evidence of glycemic regulation including two anti-hypertensive classes: angiotensin-converting enzyme inhibitors as well as calcium channel blockers (CCBs). The CCBs demonstrated the strongest evidence of glycemic reduction in both validation approaches (SCCS HbA1c and glucose reduction: −0.11%, p = 0.01 and −0.85 mg/dL, p = 0.02, respectively; MR: OR = 0.84, 95% CI = 0.81, 0.87, p = 5.0 x 10–25). Interpretation: Our results support CCBs as a strong candidate medication for blood glucose reduction in addition to cardiovascular disease reduction. Further, these results support the adaptation of this approach for use in future drug-repurposing efforts for other conditions. Funding: National Institutes of Health, Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK Medical Research Council, American Heart Association, and Department of Veterans Affairs (VA) Informatics and Computing Infrastructure and VA Cooperative Studies Program.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2352-3964
Relation: http://www.sciencedirect.com/science/article/pii/S2352396423002396; https://doaj.org/toc/2352-3964
DOI: 10.1016/j.ebiom.2023.104674
Access URL: https://doaj.org/article/0a32e0fd304d4bea90a5c225732f57ca
Accession Number: edsdoj.0a32e0fd304d4bea90a5c225732f57ca
Database: Directory of Open Access Journals
More Details
ISSN:23523964
DOI:10.1016/j.ebiom.2023.104674
Published in:EBioMedicine
Language:English