利用共享的定量系统药理学模型和框架推进帕金森病的精准医学治疗。

IF 2.3
Frontiers in systems biology Pub Date : 2024-03-08 eCollection Date: 2024-01-01 DOI:10.3389/fsysb.2024.1351555
Christopher Denaro, Diane Stephenson, Martijn L T M Müller, Benedetto Piccoli, Karim Azer
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引用次数: 0

摘要

帕金森氏症的治疗候选药物种类丰富,其中许多是针对疾病的潜在病理生理学。基于新的遗传学和生物标志物发现的新证据,正在照亮以精确医学为基础的PD治疗策略的真正希望。通过设计遗传形式PD的临床试验来研究疾病修饰疗法的努力越来越多,这为潜在的病理生理学提供了更清晰的联系。基于人类遗传发现的主要候选基因包括SNCA、LRRK2和GBA,这些基因正在一系列基础和转化模型中进行积极研究。对机制模型的广泛研究表明,这些基因通过共同的分子途径发出信号,即常染色体溶酶体途径、炎症和线粒体功能。迄今为止,基于基因定义靶点的治疗性临床试验尚未获得批准;然而,我们可以从这些开拓性的试验中学到很多东西。药物开发的基本原则,包括在靶组织中的药理学证明,对于有信心推进这种基于精确的治疗至关重要。很明显,我们需要领先候选疗法的下游生物标志物来证明其机制。目前的监管环境已经准备好并准备好支持转化建模策略,以有效地推进PD疾病修饰治疗候选药物。现有的丰富复杂数据、模型知情药物开发(MIDD)的监管框架和新的生物综合分期框架的融合,共同为PD的新方法的推进奠定了基础,以加速进展。这篇前瞻性综述强调了定量系统药理学(QSP)建模在该领域的潜力,并加快了推进PD急需的疾病修饰治疗的协作方法的进展步伐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing precision medicine therapeutics for Parkinson's utilizing a shared quantitative systems pharmacology model and framework.

A rich pipeline of therapeutic candidates is advancing for Parkinson's disease, many of which are targeting the underlying pathophysiology of disease. Emerging evidence grounded in novel genetics and biomarker discoveries is illuminating the true promise of precision medicine-based therapeutic strategies for PD. There has been a growing effort to investigate disease-modifying therapies by designing clinical trials for genetic forms of PD - providing a clearer link to underlying pathophysiology. Leading candidate genes based on human genetic findings that are under active investigation in an array of basic and translational models include SNCA, LRRK2, and GBA. Broad investigations across mechanistic models show that these genes signal through common molecular pathways, namely, autosomal lysosomal pathways, inflammation and mitochondrial function. Therapeutic clinical trials to date based on genetically defined targets have not yet achieved approvals; however, much is to be learned from such pioneering trials. Fundamental principles of drug development that include proof of pharmacology in target tissue are critical to have confidence in advancing such precision-based therapies. There is a clear need for downstream biomarkers of leading candidate therapies to demonstrate proof of mechanism. The current regulatory landscape is poised and primed to support translational modeling strategies for the effective advancement of PD disease-modifying therapeutic candidates. A convergence of rich complex data that is available, the regulatory framework of model informed drug development (MIDD), and the new biological integrated staging frameworks when combined are collectively setting the stage for advancing new approaches in PD to accelerate progress. This perspective review highlights the potential of quantitative systems pharmacology (QSP) modeling in contributing to the field and hastening the pace of progress in advancing collaborative approaches for urgently needed PD disease-modifying treatments.

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