The future of rare disease drug development: the rare disease cures accelerator data analytics platform (RDCA-DAP).

IF 2.2 4区 医学 Q3 PHARMACOLOGY & PHARMACY Journal of Pharmacokinetics and Pharmacodynamics Pub Date : 2023-12-01 Epub Date: 2023-05-02 DOI:10.1007/s10928-023-09859-7
Jeffrey S Barrett, Alexandre Betourne, Ramona L Walls, Kara Lasater, Scott Russell, Amanda Borens, Shlok Rohatagi, Will Roddy
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Abstract

Rare disease drug development is wrought with challenges not the least of which is access to the limited data currently available throughout the rare disease ecosystem where sharing of the available data is not guaranteed. Most pharmaceutical sponsors seeking to develop agents to treat rare diseases will initiate data landscaping efforts to identify various data sources that might be informative with respect to disease prevalence, patient selection and identification, disease progression and any data projecting likelihood of patient response to therapy including any genetic data. Such data are often difficult to come by for highly prevalent, mainstream disease populations let alone for the 8000 rare disease that make up the pooled patient population of rare disease patients. The future of rare disease drug development will hopefully rely on increased data sharing and collaboration among the entire rare disease ecosystem. One path to achieving this outcome has been the development of the rare disease cures accelerator, data analytics platform (RDCA-DAP) funded by the US FDA and operationalized by the Critical Path Institute. FDA intentions were clearly focused on improving the quality of rare disease regulatory applications by sponsors seeking to develop treatment options for various rare disease populations. As this initiative moves into its second year of operations it is envisioned that the increased connectivity to new and diverse data streams and tools will result in solutions that benefit the entire rare disease ecosystem and that the platform becomes a Collaboratory for engagement of this ecosystem that also includes patients and caregivers.

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罕见病药物开发的未来:罕见病治疗加速器数据分析平台(RDCA-DAP)。
罕见病药物开发面临诸多挑战,其中最重要的挑战是获取目前在整个罕见病生态系统中可用的有限数据,而现有数据的共享无法得到保证。大多数寻求开发治疗罕见病药物的制药赞助商将启动数据美化工作,以确定各种数据源,这些数据源可能提供有关疾病流行、患者选择和识别、疾病进展以及预测患者对治疗反应可能性的任何数据(包括任何遗传数据)方面的信息。对于高度流行的主流疾病人群来说,这样的数据往往很难获得,更不用说构成罕见疾病患者汇总人群的8000种罕见疾病了。罕见病药物开发的未来有望依赖于整个罕见病生态系统之间增加的数据共享和合作。实现这一目标的一个途径是开发罕见病治疗加速器,数据分析平台(RDCA-DAP),该平台由美国FDA资助,由关键路径研究所(Critical path Institute)运营。FDA的意图显然集中在提高罕见病监管申请的质量,寻求为各种罕见病人群开发治疗方案。随着该计划进入运营的第二年,预计与新的和多样化的数据流和工具的连接将增加,从而产生有利于整个罕见疾病生态系统的解决方案,并且该平台将成为包括患者和护理人员在内的这个生态系统的合作实验室。
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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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