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

**Authors:** Bu-Fan Yao, Yang Yang, Shan-Sen Xu, Bo-Hao Tang, Jia Chen, Zi-Jia Guo, Hong-Lin Hu, Wei Zhang, Shu-Meng Fu, Xin-Fang Zhang, Guo-Xiang Hao, Xin-Mei Yang, Lin-Lin Song, Pan-Pan Ye, Lian Liu, Shun-Wei Zhu, Yi Zheng, Wei Zhao

PMC · DOI: 10.1128/aac.00614-25 · Antimicrobial Agents and Chemotherapy · 2025-09-18

## TL;DR

This paper shows how model-informed drug development helped speed up the approval of a new drug for treating COVID-19 during a global health emergency.

## Contribution

The study demonstrates the novel use of model-informed drug development to optimize clinical trials and accelerate drug authorization during public health emergencies.

## Key findings

- Model-informed drug development optimized clinical trials for simnotrelvir, a treatment for COVID-19.
- A 750 mg dose of simnotrelvir significantly reduced viral load compared to a lower dose.
- The drug reduced recovery time and had no serious adverse events in a randomized controlled trial.

## 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 3CLpro 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 EC90 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 log10 copies/mL, P = 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.

This study is registered with ClinicalTrials.gov as NCT05339646, NCT05369676, and NCT05506176.

## Linked entities

- **Chemicals:** simnotrelvir (PubChem CID 167312484), ritonavir (PubChem CID 5076)
- **Diseases:** coronavirus disease 2019 (MONDO:0100096), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** PHEIC.CLINICAL (MESH:D000071069), COVID-19 (MESH:D000086382)
- **Chemicals:** simnotrelvir (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12587539/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12587539/full.md

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Source: https://tomesphere.com/paper/PMC12587539