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Prioritization of Anti-SARS-Cov-2 Drug Repurposing Opportunities Based on Plasma and Target Site Concentrations Derived from their Established Human Pharmacokinetics

Arshad et al., Clinical Pharmacology & Therapeutics, doi:10.1002/cpt.1909
May 2020  
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Ivermectin for COVID-19
4th treatment shown to reduce risk in August 2020, now with p < 0.00000000001 from 105 studies, recognized in 23 countries.
No treatment is 100% effective. Protocols combine treatments.
5,000+ studies for 104 treatments. c19ivm.org
Pharmacokinetic analysis predicting that ivermectin, HCQ, CQ, and azithromycin will achieve lung concentrations well over 10 times higher than the reported EC50. Nitazoxanide had a lung tissue Cmax/EC50 of 7.8.
69 preclinical studies support the efficacy of ivermectin for COVID-19:
Ivermectin, better known for antiparasitic activity, is a broad spectrum antiviral with activity against many viruses including H7N767, Dengue33,68,69, HIV-169, Simian virus 4070, Zika33,71,72, West Nile72, Yellow Fever73,74, Japanese encephalitis73, Chikungunya74, Semliki Forest virus74, Human papillomavirus53, Epstein-Barr53, BK Polyomavirus75, and Sindbis virus74.
Ivermectin inhibits importin-α/β-dependent nuclear import of viral proteins67,69,70,76, shows spike-ACE2 disruption at 1nM with microfluidic diffusional sizing34, binds to glycan sites on the SARS-CoV-2 spike protein preventing interaction with blood and epithelial cells and inhibiting hemagglutination37,77, shows dose-dependent inhibition of wildtype and omicron variants32, exhibits dose-dependent inhibition of lung injury57,62, may inhibit SARS-CoV-2 via IMPase inhibition33, may inhibit SARS-CoV-2 induced formation of fibrin clots resistant to degradation6, inhibits SARS-CoV-2 3CLpro50, may inhibit SARS-CoV-2 RdRp activity25, may minimize viral myocarditis by inhibiting NF-κB/p65-mediated inflammation in macrophages56, may be beneficial for COVID-19 ARDS by blocking GSDMD and NET formation78, may interfere with SARS-CoV-2's immune evasion via ORF8 binding1, may inhibit SARS-CoV-2 by disrupting CD147 interaction79-82, shows protection against inflammation, cytokine storm, and mortality in an LPS mouse model sharing key pathological features of severe COVID-1955,83, may be beneficial in severe COVID-19 by binding IGF1 to inhibit the promotion of inflammation, fibrosis, and cell proliferation that leads to lung damage5, may minimize SARS-CoV-2 induced cardiac damage36,44, increases Bifidobacteria which play a key role in the immune system84, has immunomodulatory47 and anti-inflammatory66,85 properties, and has an extensive and very positive safety profile86.
Study covers ivermectin, HCQ, and nitazoxanide.
Arshad et al., 20 May 2020, peer-reviewed, 22 authors.
This PaperIvermectinAll
Prioritization of Anti‐SARS‐Cov‐2 Drug Repurposing Opportunities Based on Plasma and Target Site Concentrations Derived from their Established Human Pharmacokinetics
Usman Arshad, Henry Pertinez, Helen Box, Lee Tatham, Rajith K R Rajoli, Paul Curley, Megan Neary, Joanne Sharp, Neill J Liptrott, Anthony Valentijn, Christopher David, Steve P Rannard, Paul M O’neill, Ghaith Aljayyoussi, Shaun H Pennington, Stephen A Ward, Andrew Hill, David J Back, Saye H Khoo, Patrick G Bray, Giancarlo A Biagini, Andrew Owen
Clinical Pharmacology & Therapeutics, doi:10.1002/cpt.1909
There is a rapidly expanding literature on the in vitro antiviral activity of drugs that may be repurposed for therapy or chemoprophylaxis against severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2). However, this has not been accompanied by a comprehensive evaluation of the target plasma and lung concentrations of these drugs following approved dosing in humans. Accordingly, concentration 90% (EC 90 ) values recalculated from in vitro anti-SARS-CoV-2 activity data was expressed as a ratio to the achievable maximum plasma concentration (C max ) at an approved dose in humans (C max /EC 90 ratio). Only 14 of the 56 analyzed drugs achieved a C max /EC 90 ratio above 1. A more in-depth assessment demonstrated that only nitazoxanide, nelfinavir, tipranavir (ritonavir-boosted), and sulfadoxine achieved plasma concentrations above their reported anti-SARS-CoV-2 activity across their entire approved dosing interval. An unbound lung to plasma tissue partition coefficient (K p U lung ) was also simulated to derive a lung C max /half-maximal effective concentration (EC 50 ) as a better indicator of potential human efficacy. Hydroxychloroquine, chloroquine, mefloquine, atazanavir (ritonavirboosted), tipranavir (ritonavir-boosted), ivermectin, azithromycin, and lopinavir (ritonavir-boosted) were all predicted to achieve lung concentrations over 10-fold higher than their reported EC 50 . Nitazoxanide and sulfadoxine also exceeded their reported EC 50 by 7.8-fold and 1.5-fold in lung, respectively. This analysis may be used to select potential candidates for further clinical testing, while deprioritizing compounds unlikely to attain target concentrations for antiviral activity. Future studies should focus on EC 90 values and discuss findings in the context of achievable exposures in humans, especially within target compartments, such as the lungs, in order to maximize the potential for success of proposed human clinical trials.
SUPPORTING INFORMATION Supplementary information accompanies this paper on the Clinical Pharmacology & Therapeutics website (www.cpt-journal.com). ACKNOWLEDGMENTS The authors thank Nathan Morin from Alberta Health Services for being proactive in making them aware of previously published data for indomethacin. The authors also thank Articulate Science for publication support. CONFLICT OF INTEREST D.J.B. has received honoraria or advisory board payments from AbbVie, Gilead, ViiV, Merck, Janssen, and educational grants from AbbVie, Gilead, ViiV, Merck, Janssen, and Novartis. A.O. and S.P.R. are Directors of Tandem Nano Ltd. A.O. has received research funding from ViiV, Merck, Janssen, and consultancy from Gilead, ViiV and Merck not related to the current paper. P.O.N. is currently engaged in a collaboration with Romark LLC but this interaction did not influence the prioritization or conclusions in the current paper. All other authors declared no competing interests for this work. AUTHOR CONTRIBUTIONS All authors wrote the paper. A.O. designed the research. U.A., H.B., L.T., H.P., and A.O. performed the research. R.R., H.P., U.A., and A.O. analyzed the data.
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