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Molnupiravir clinical trial simulation suggests that polymerase chain reaction underestimates antiviral potency against SARS-CoV-2
Shadisadat Esmaeili, … , Stephen J. Polyak, Joshua T. Schiffer
Shadisadat Esmaeili, … , Stephen J. Polyak, Joshua T. Schiffer
Published September 11, 2025
Citation Information: J Clin Invest. 2025;135(21):e192052. https://doi.org/10.1172/JCI192052.
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Research Article Immunology Infectious disease Virology

Molnupiravir clinical trial simulation suggests that polymerase chain reaction underestimates antiviral potency against SARS-CoV-2

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Abstract

Molnupiravir is an antiviral medicine that induces lethal copying errors during SARS-CoV-2 RNA replication. Molnupiravir reduced hospitalization in one pivotal trial by 50% and had variable effects on reducing viral RNA levels in three separate trials. We used mathematical models to simulate these trials and closely recapitulated their virologic outcomes. Model simulations suggested lower antiviral potency against pre-Omicron SARS-CoV-2 variants than against Omicron. We estimated that in vitro assays underestimated in vivo potency by 6- to 7-fold against Omicron variants. Our model suggested that because polymerase chain reaction detects molnupiravir mutated variants, the true reduction in non-mutated viral RNA was underestimated by approximately 0.4 log10 in the two trials conducted while Omicron variants dominated. Viral area under the curve estimates differed significantly between non-mutated and mutated viral RNA. Our results reinforce past work suggesting that in vitro assays are unreliable for estimating in vivo antiviral drug potency and suggest that virologic endpoints for respiratory virus clinical trials should be catered to the drug mechanism of action.

Authors

Shadisadat Esmaeili, Katherine Owens, Ugo Avila-Ponce de Leon, Joseph F. Standing, David M. Lowe, Shengyuan Zhang, James A. Watson, William H.K. Schilling, Jessica Wagoner, Stephen J. Polyak, Joshua T. Schiffer

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Figure 5

Model fit to virologic trial outcomes for PANORAMIC.

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Model fit to virologic trial outcomes for PANORAMIC.
Results include the...
Results include the fit to drop in viral load from baseline for (A) control groups and (B) treatment groups. Control arm data are shown in red, treatment arm data in blue, gray lines are the simulated viral load drop for each individual, and solid lines are the mean viral load drop. (D) Comparing individual variability of data versus simulation in control and treatment arms. The 2-sided Kolmogorov-Smirnov test was used to compare the distributions. Adjusted P values were calculated using the Benjamini-Hochberg method and represent dissimilarity between observed and simulated distributions. (C) Estimates for the potency adjustment factor (paf). To only capture the effect of treatment and address potential identifiability issues, data from the first 7 days after baseline were used to estimate the paf. Therefore, the crossed-out data points were not included in the calculation of R2.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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