Model-informed drug development in public health emergency of international concern: accelerating marketing authorization of simnotrelvir

During a Public Health Emergency of International Concern (PHEIC), rapid drug development is critical, but traditional clinical trials are time-consuming and high-risk. This study used coronavirus disease 2019 (COVID-19) as an example to highlight the pivotal role of model-informed drug development (MIDD) in expediting the marketing authorization of simnotrelvir in China, a 3CL<sup>pro</sup> inhibitor for COVID-19 treatment. Three simnotrelvir clinical trials (Phase Ia, Ib, II/III) were optimized using the MIDD approach. Pharmacokinetics was investigated using nonlinear mixed-effects models, exposure was calculated through Monte Carlo simulation and Bayes estimation, and exposure-efficacy/safety relationships were analyzed using linear/logistic regression models. The MIDD approach began with a translational study to predict patients' starting doses using first-in-human data, preclinical data, and pharmacodynamic surrogate marker. A dose level of 750 mg/100 mg simnotrelvir/ritonavir was recommended, using simulation results with 90.6% of participants' trough concentration exceeding EC<sub>90</sub> for anti-Omicron variant. Then, a biomarker confirmation study to investigate dose-exposure-response relationship found that 750 mg suppressed viral load more than 300 mg (-4.995 vs. -4.236 log<sub>10</sub> copies/mL, <i>P</i> = 0.0367) in Phase Ib. Finally, a randomized controlled trial to confirm benefit-risk ratio found that simnotrelvir/ritonavir reduced time to sustained resolution of 11 clinical syndromes by 1.5 days compared with placebo, had no serious adverse events, and had a flat exposure-response relationship with viral load reduction, time to sustained resolution, and ≥2 grade treatment-emergent adverse event rate with approved dosage. MIDD enhanced clinical trial success, optimized the benefit-risk profile, and expedited marketing authorization for new drug development in response to PHEIC.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05339646, NCT05369676, and NCT05506176.

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Journal
Antimicrobial Agents and Chemotherapy
Published
2025-09-18
DOI
https://doi.org/10.1128/aac.00614-25
Primary Topic
Computational Drug Discovery Methods
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article
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article

Model-informed drug development in public health emergency of international concern: accelerating marketing authorization of simnotrelvir

Guo‐Xiang Hao, Panpan Ye, Wei Zhang, Wei Zhao et al.
Antimicrobial Agents and Chemotherapy
Computational Drug Discovery Methods
article

Model-informed drug development in public health emergency of international concern: accelerating marketing authorization of simnotrelvir

Guo‐Xiang Hao, Panpan Ye, Wei Zhang, Wei Zhao, Lian Liu, Yang Yang, Jia Chen, Shunwei Zhu, Xinfang Zhang, Linlin Song, Xin‐Mei Yang, Shansen Xu, Yi Zheng, Honglin Hu, Zi-Jia Guo, Shu‐Meng Fu, Bo-Hao Tang, Bu‐Fan Yao
article en

Abstract

During a Public Health Emergency of International Concern (PHEIC), rapid drug development is critical, but traditional clinical trials are time-consuming and high-risk. This study used coronavirus disease 2019 (COVID-19) as an example to highlight the pivotal role of model-informed drug development (MIDD) in expediting the marketing authorization of simnotrelvir in China, a 3CL<sup>pro</sup> inhibitor for COVID-19 treatment. Three simnotrelvir clinical trials (Phase Ia, Ib, II/III) were optimized using the MIDD approach. Pharmacokinetics was investigated using nonlinear mixed-effects models, exposure was calculated through Monte Carlo simulation and Bayes estimation, and exposure-efficacy/safety relationships were analyzed using linear/logistic regression models. The MIDD approach began with a translational study to predict patients' starting doses using first-in-human data, preclinical data, and pharmacodynamic surrogate marker. A dose level of 750 mg/100 mg simnotrelvir/ritonavir was recommended, using simulation results with 90.6% of participants' trough concentration exceeding EC<sub>90</sub> for anti-Omicron variant. Then, a biomarker confirmation study to investigate dose-exposure-response relationship found that 750 mg suppressed viral load more than 300 mg (-4.995 vs. -4.236 log<sub>10</sub> copies/mL, <i>P</i> = 0.0367) in Phase Ib. Finally, a randomized controlled trial to confirm benefit-risk ratio found that simnotrelvir/ritonavir reduced time to sustained resolution of 11 clinical syndromes by 1.5 days compared with placebo, had no serious adverse events, and had a flat exposure-response relationship with viral load reduction, time to sustained resolution, and ≥2 grade treatment-emergent adverse event rate with approved dosage. MIDD enhanced clinical trial success, optimized the benefit-risk profile, and expedited marketing authorization for new drug development in response to PHEIC.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05339646, NCT05369676, and NCT05506176.

Antimicrobial Agents and ChemotherapyVol. 69(11)
Shandong University (CN), Simcere Pharmaceutical (China) (CN), Shandong Provincial QianFoShan Hospital (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 73%
Computational Drug Discovery Methods
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