Comparison of Molnupiravir Exposure‐Response Relationships for Virology Response and Mechanism of Action Biomarkers With Clinical Outcomes in Treatment of <scp>COVID</scp>‐19
Molnupiravir, an orally administered drug for the treatment of mild-to-moderate COVID-19, is a prodrug of the ribonucleoside β-D-N4-hydroxycytidine (NHC). NHC incorporation in the SARS-CoV-2 RNA strand causes an accumulation of deleterious errors in the genome, resulting in reduced viral infectivity and replication. Exposure-response (E-R) analyses for viral RNA mutation rate and virologic outcomes were conducted using data from three phase 2/3 studies of molnupiravir (P006, MOVe-IN, and MOVe-OUT). Three dose levels (200, 400, and 800 mg every 12 hours [Q12H]) and placebo were evaluated. E-R datasets were generated for SARS-CoV-2 RNA mutation and longitudinal SARS-CoV-2 RNA viral load. E-R models were defined for RNA mutation rate and viral load change from baseline at days 5 and 10. The models supported plasma NHC AUC<sub>0-12</sub> as the appropriate pharmacokinetic driver for assessing E-R relationships. The highest percentage of participants with > 20 low-frequency nucleotide substitutions (LNS) per 10,000 bases, a measure of likely meaningful drug effect, was predicted in the 800 mg Q12H treatment group. A strong drug effect on the reduction of viral load was observed on days 5 and 10. E-R relationships were best represented by an E<sub>max</sub> structural model with reasonable consistency in the estimated AUC<sub>50</sub>s (~2.3-fold), across the models, of 10,260 and 4390 nM*hr. for day 5 viral load change from baseline and LNS error rate, respectively. These biomarker E-R curves support the choice of 800 mg Q12H as providing near-maximal drug effect, consistent with findings from the previously published molnupiravir E-R model of clinical outcomes.
Authors
- Wei Gao (ORCID: https://orcid.org/0000-0002-7889-1662)
- Julie Strizki (ORCID: https://orcid.org/0009-0002-3893-9374)
- Akshita Chawla (ORCID: https://orcid.org/0000-0003-4621-3901)
- Arthur Fridman
- Julie A. Stone (ORCID: https://orcid.org/0000-0002-4914-4828)
- George R. Painter (ORCID: https://orcid.org/0000-0002-9803-8095)
- Wayne Holman (ORCID: https://orcid.org/0000-0003-2163-3707)
- Carisa De Anda (ORCID: https://orcid.org/0000-0002-6344-8123)
- Matthew L. Rizk (ORCID: https://orcid.org/0009-0005-5009-2139)
- Youfang Cao (ORCID: https://orcid.org/0000-0002-5880-0006)
- Ruthie Birger (ORCID: https://orcid.org/0000-0002-2960-5084)
- Brian M. Maas (ORCID: https://orcid.org/0000-0002-2410-4379)
- Amanda Paschke (ORCID: https://orcid.org/0000-0002-0225-1802)
- Susanne Sardella
- Hong Wan (ORCID: https://orcid.org/0000-0003-0679-9565)
- Wendy Painter (ORCID: https://orcid.org/0000-0001-6710-1277)
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Emory University (US)
- Simulations Plus (United States) (US)
Publication Details
- Journal
- Clinical and Translational Science
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1111/cts.70184
- Citations
- 1
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 1.40