An industry perspective on current QSP trends in drug development.

IF 2.2 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Lourdes Cucurull-Sanchez
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引用次数: 0

Abstract

2023 marks the 10th anniversary of Natpara's submission to the US FDA, which led to the first recorded regulatory interaction where a decision was supported by Quantitative and Systems Pharmacology (QSP) simulations. It had taken about 5 years for the timid QSP discipline to emerge as an effective Model-Informed Drug Development (MIDD) tool with visible impact in the pharmaceutical industry. Since then, the presence of QSP in the regulatory environment has continued to increase, to the point that the Agency reported 60 QSP submissions in 2020 alone, representing ~ 4% of their annual IND submissions [1]. What sort of industry mindset has enabled QSP to reach this level of success? How does QSP fit within the MIDD paradigm? Does QSP mean the same to Discovery and to Clinical Development projects? How do 'platforms' compare to 'fit-for-purpose' QSP models in an industrial setting? Can QSP and empirical Pharmacokinetic-Pharmacodynamic (PKPD) modelling be complementary? What level of validation is required to inform drug development decisions? This article reflects on all these questions, in particular addressing those audiences with limited line-of-sight into the drug industry decision-making machinery.

从行业角度看当前药物研发中的 QSP 趋势。
2023 年是 Natpara 公司向美国食品和药物管理局(FDA)递交申请 10 周年,这也是有记录以来首次由定量与系统药理学(QSP)模拟支持决策的监管互动。大约用了 5 年时间,胆小的 QSP 学科才成为有效的模型信息药物开发 (MIDD) 工具,在制药行业产生了明显的影响。从那时起,QSP 在监管环境中的存在感持续上升,到了 2020 年,该机构报告的 QSP 呈文就达到了 60 份,占其年度 IND 呈文的约 4%[1]。是什么样的行业思维使 QSP 达到如此成功的水平?QSP 如何融入 MIDD 范式?QSP 对发现项目和临床开发项目的意义是否相同?在工业环境中,"平台 "与 "适合目的 "的 QSP 模型相比如何?QSP 与经验性药代动力学-药效学 (PKPD) 模型能否互补?需要何种程度的验证才能为药物开发决策提供信息?本文对所有这些问题进行了思考,特别是针对那些对制药业决策机制了解有限的读者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.90
自引率
4.00%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Broadly speaking, the Journal of Pharmacokinetics and Pharmacodynamics covers the area of pharmacometrics. The journal is devoted to illustrating the importance of pharmacokinetics, pharmacodynamics, and pharmacometrics in drug development, clinical care, and the understanding of drug action. The journal publishes on a variety of topics related to pharmacometrics, including, but not limited to, clinical, experimental, and theoretical papers examining the kinetics of drug disposition and effects of drug action in humans, animals, in vitro, or in silico; modeling and simulation methodology, including optimal design; precision medicine; systems pharmacology; and mathematical pharmacology (including computational biology, bioengineering, and biophysics related to pharmacology, pharmacokinetics, orpharmacodynamics). Clinical papers that include population pharmacokinetic-pharmacodynamic relationships are welcome. The journal actively invites and promotes up-and-coming areas of pharmacometric research, such as real-world evidence, quality of life analyses, and artificial intelligence. The Journal of Pharmacokinetics and Pharmacodynamics is an official journal of the International Society of Pharmacometrics.
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