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

IF 4.5 2区 医学 Q2 MICROBIOLOGY
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
{"title":"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","doi":"10.1128/aac.00614-25","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8152,"journal":{"name":"Antimicrobial Agents and Chemotherapy","volume":" ","pages":"e0061425"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Antimicrobial Agents and Chemotherapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1128/aac.00614-25","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

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

在国际关注的突发公共卫生事件中基于模型的药物开发:加速辛诺瑞韦的上市许可。
在国际关注的突发公共卫生事件(PHEIC)期间,快速开发药物至关重要,但传统的临床试验既耗时又高风险。本研究以2019冠状病毒病(COVID-19)为例,强调模型知情药物开发(MIDD)在加快用于治疗COVID-19的3CLpro抑制剂simnotrelvir在中国的上市授权方面的关键作用。采用MIDD方法对三项simnotrelvir临床试验(Ia、Ib、II/III期)进行了优化。使用非线性混合效应模型研究药代动力学,通过蒙特卡罗模拟和贝叶斯估计计算暴露量,并使用线性/逻辑回归模型分析暴露-疗效/安全性关系。MIDD方法始于一项转化研究,利用首次人体试验数据、临床前数据和药效学替代标记物预测患者的起始剂量。根据模拟结果,90.6%的参与者抗omicron变异的谷浓度超过EC90,建议使用750mg / 100mg辛诺瑞韦/利托那韦的剂量水平。然后,一项研究剂量-暴露-反应关系的生物标志物确认研究发现,在Ib期,750 mg抑制病毒载量超过300 mg (-4.995 vs -4.236 log10拷贝/mL, P = 0.0367)。最后,一项确认获益-风险比的随机对照试验发现,与安慰剂相比,simnotrelvir/ritonavir使11种临床综合征的持续缓解时间缩短了1.5天,无严重不良事件。并且在批准剂量下,与病毒载量降低、持续消退时间和≥2级治疗后出现的不良事件发生率之间存在平坦的暴露-反应关系。MIDD提高了临床试验的成功率,优化了收益-风险概况,并加快了新药开发的上市许可,以应对国际关注的突发公共卫生事件。临床试验:本研究在ClinicalTrials.gov注册为NCT05339646、NCT05369676和NCT05506176。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
10.00
自引率
8.20%
发文量
762
审稿时长
3 months
期刊介绍: Antimicrobial Agents and Chemotherapy (AAC) features interdisciplinary studies that build our understanding of the underlying mechanisms and therapeutic applications of antimicrobial and antiparasitic agents and chemotherapy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信