ReviewBritish journal of clinical pharmacology2021
A pharmacological framework for integrating treating the host, drug repurposing and the damage response framework in COVID-19.
Review in British journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- Critical insights to COVID-19 disease and potential treatments using a systems analysis approach that integrates physiology, pharmacology, and clinical pharmacology.Pharmacology research & perspectives · 2022Article
- Systems analysis shows that thermodynamic physiological and pharmacological fundamentals drive COVID-19 and response to treatment.Pharmacology research & perspectives · 2022Review
- Repurposing existing therapeutics, its importance in oncology drug development: Kinases as a potential target.British journal of clinical pharmacology · 2022Review
- Statin withdrawal and treating COVID-19 patients.Pharmacology research & perspectives · 2021Article
- Did our pharmacological strategy for COVID-19 fail?Pharmacology research & perspectives · 2021Article
- A pharmacological framework for integrating treating the host, drug repurposing and the damage response framework in COVID-19.British journal of clinical pharmacology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With any new disease a framework for the development of preventative or treatment therapeutics is key; the absence of such in COVID-19 has enabled ineffective and potentially unsafe treatments to be taken up by governments and clinicians desperate to have options for patients. As we still have few therapies and nil vaccines yet available, the void of a clear framework for research and practice is increasingly clear. We describe a framework that has been used to prioritise therapeutic research in previous pandemics which could be used to progress clinical pharmacology and therapeutics research in COVID-19. This is particularly relevant as discussion has already moved on from antiviral therapeutics to delineating the treatment of the host from treatment and elimination of the infective agent. Focussing on the host brings together three concepts: host treatment, the damage response framework and therapeutic repurposing. The integration of these three areas plays to the traditional strength of pharmaceuticals in providing a period of stabilization to permit time for the development of novel antiviral drugs and vaccines. In integrating approaches to repurposing, host treatment and damage response we identified three key properties that a potentially effective repurposed drug must possess by way of a framework. There must be homology, i.e., the same or similar relation with the pathogenesis of the disease, ideally targeted to the conserved pathophysiological outcomes of the viral attack; there must be a defined locus within the spectrum to prevention to severe disease and the framework must draw upon the historical dose and safety experience of the repurposed drug. To illustrate, we have mapped therapeutics that impact upon a key dysregulated pathway in COVID-19 - the renin angiotensin system - using this approach. Collectively this type of analysis reveals the importance of existing data (repurposed information and administrative observational data) and the importance of the details of the known pathophysiological response to viruses in approaches to treating the host.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.