Cited by 93Computational Drug Discovery MethodsHistorical Medical Research and TreatmentsPharmaceutical Economics and Policy

Repurposing drugs to treat cardiovascular disease in the era of precision medicine

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Abdelsayed, Mena, Kort, Eric J., Jovinge, Stefan, Mercola, Mark·2022·Nature Reviews Cardiology

Abstract

Drug repurposing is the use of a given therapeutic agent for indications other than that for which it was originally designed or intended. The concept is appealing because of potentially lower development costs and shorter timelines than are needed to produce a new drug. To date, drug repurposing for cardiovascular indications has been opportunistic and driven by knowledge of disease mechanisms or serendipitous observation rather than by systematic endeavours to match an existing drug to a new indication. Innovations in two areas of personalized medicine - computational approaches to associate drug effects with disease signatures and predictive model systems to screen drugs for disease-modifying activities - support efforts that together create an efficient pipeline to systematically repurpose drugs to treat cardiovascular disease. Furthermore, new experimental strategies that guide the medicinal chemistry re-engineering of drugs could improve repurposing efforts by tailoring a medicine to its new indication. In this Review, we summarize the historical approach to repurposing and discuss the technological advances that have created a new landscape of opportunities.

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  • Drugs can have pleiotropic effects beyond the mechanism of action of their direct targets.

    “The premise behind repurposing is that drugs can have pleiotropic effects beyond the mechanism of action of their direct targets5.”

    From A foundation model for clinician-centered drug repurposing (2024) · cites this paper as [5]

  • The effects of drugs can now be prospectively matched to new indications by systematically analyzing medical knowledge graphs (KGs).

    “Owing to technological advances, the effects of drugs can now be prospectively matched to new indications by systematically analyzing medical knowledge graphs (KGs)5,9.”

    From A foundation model for clinician-centered drug repurposing (2024) · cites this paper as [5]

  • These strategies identify therapeutic candidates based on their impact on cell signaling, gene expression and disease phenotypes.

    “These strategies identify therapeutic candidates based on their impact on cell signaling, gene expression and disease phenotypes5,10–12.”

    From A foundation model for clinician-centered drug repurposing (2024) · cites this paper as [5]

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Research works printed but not linked: 1

  1. [53]Toro-Domínguez, D., Alarcón-Riquelme, M. E. & Carmona-Sáez, P. in In Silico Drug Design Ch. 11 (ed. Roy, K.) 303–327 (Elsevier, 2019).

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Authors
Abdelsayed, M., Kort, E. J., Jovinge, S., & Mercola, M.
Affiliations
  • Stanford Medicine (US)
  • Van Andel Institute (US)
Corresponding author
  • Jovinge, Stefan
  • Mercola, Mark
Venue
Nature Reviews Cardiology
Published
2022-05-23
Volume
19
Issue
11
Pages
751-764
ISSN
  • 1759-5002 (ISSN-L)
  • 1759-5010
OpenAlex
W4281297752
Cited by
93
References
128
Citations by year
2026: 13 · 2025: 17 · 2024: 36 · 2023: 21 · 2022: 6
FWCI
1.72
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Cardiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
  • Heart Rhythm Society
  • Fondation Leducq (P01HL141084)
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (R01HL152055, R01HL138539, P01HL141084)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Historical Medical Research and Treatments
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
Keywords
drug repurposing, cardiovascular disease, precision medicine, personalized medicine, computational drug repurposing, disease-modifying drugs, drug development costs
MeSH terms
Cardiovascular Diseases, Humans, Precision Medicine, Drug Repositioning

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