Publication
Baricitinib in COVID-19: a coming-of-age from artificial intelligence to reducing mortality
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- Persistent URL
- Last modified
- 05/14/2025
- Type of Material
- Authors
-
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Puja Mehta, University College LondonBoghuma Titanji, Emory University
- Language
- English
- Date
- 2022-07-30
- Publisher
- Elsevier
- Publication Version
- Copyright Statement
- © 2022 Elsevier Ltd. All rights reserved.
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 400
- Issue
- 10349
- Start Page
- 338
- End Page
- 339
- Supplemental Material (URL)
- Abstract
- Immunomodulatory therapies targeting excessive host immune responses,1 vaccination, and immunity from natural infection have changed the course of the COVID-19 pandemic. However, the rapid emergence of SARS-CoV-2 variants has stymied progress towards ending the pandemic. An unmet need remains for accessible therapies that reduce mortality. In The Lancet, the RECOVERY Collaborative Group assessed the use of baricitinib, a Janus kinase (JAK) inhibitor, for the treatment of patients hospitalised with COVID-19, in the randomised, controlled, open-label platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]).2 The potential use of baricitinib in COVID-19 was first identified from an artificial-intelligence-enabled drug discovery algorithm.3 Baricitinib can suppress multiple cytokine-signalling pathways simultaneously and impede viral propagation through inhibition of numb-associated kinases important for clarthrin-mediated endocytosis.4
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Immunology
- Biology, Virology
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Publication File - vzhx2.pdf | Primary Content | 2025-05-13 | Public | Download |