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重新利用药物治疗帕金森病中 l-DOPA 诱导的运动障碍。

Repurposing drugs to treat l-DOPA-induced dyskinesia in Parkinson's disease.

机构信息

Krembil Research Institute, University Health Network, Toronto, ON, Canada; Atuka Inc., Toronto, ON, Canada.

IBM Watson Health, New York, NY, USA.

出版信息

Neuropharmacology. 2019 Mar 15;147:11-27. doi: 10.1016/j.neuropharm.2018.05.035. Epub 2018 Jun 1.

Abstract

In this review, we discuss the opportunity for repurposing drugs for use in l-DOPA-induced dyskinesia (LID) in Parkinson's disease. LID is a particularly suitable indication for drug repurposing given its pharmacological diversity, translatability of animal-models, availability of Phase II proof-of-concept (PoC) methodologies and the indication-specific regulatory environment. A compound fit for repurposing is defined as one with appropriate human safety-data as well as animal safety, toxicology and pharmacokinetic data as found in an Investigational New Drug (IND) package for another indication. We first focus on how such repurposing candidates can be identified and then discuss development strategies that might progress such a candidate towards a Phase II clinical PoC. We discuss traditional means for identifying repurposing candidates and contrast these with newer approaches, especially focussing on the use of computational and artificial intelligence (AI) platforms. We discuss strategies that can be categorised broadly as: in vivo phenotypic screening in a hypothesis-free manner; in vivo phenotypic screening based on analogy to a related disorder; hypothesis-driven evaluation of candidates in vivo and in silico screening with a hypothesis-agnostic component to the selection. To highlight the power of AI approaches, we describe a case study using IBM Watson where a training set of compounds, with demonstrated ability to reduce LID, were employed to identify novel repurposing candidates. Using the approaches discussed, many diverse candidates for repurposing in LID, originally envisaged for other indications, will be described that have already been evaluated for efficacy in non-human primate models of LID and/or clinically. This article is part of the Special Issue entitled 'Drug Repurposing: old molecules, new ways to fast track drug discovery and development for CNS disorders'.

摘要

在这篇综述中,我们讨论了将药物重新用于治疗帕金森病中左旋多巴诱导的运动障碍(LID)的机会。鉴于其药理学多样性、动物模型的可转化性、II 期概念验证(PoC)方法的可用性以及特定适应症的监管环境,LID 是药物重新定位的一个特别合适的适应症。适合重新定位的化合物定义为具有适当的人体安全性数据以及动物安全性、毒理学和药代动力学数据的化合物,这些数据可在另一种适应症的新药研究申请(IND)包中找到。我们首先关注如何识别此类重新定位候选物,然后讨论可能将此类候选物推进到 II 期临床 PoC 的开发策略。我们讨论了识别重新定位候选物的传统方法,并将其与较新的方法进行了对比,特别是特别关注计算和人工智能(AI)平台的使用。我们讨论了可以广泛归类为以下几类的策略:以无假设的方式进行体内表型筛选;基于与相关疾病的类比进行体内表型筛选;在体内和计算机筛选中对候选物进行假设驱动评估,并具有假设不可知的选择组件。为了突出 AI 方法的强大功能,我们描述了一个使用 IBM Watson 的案例研究,其中使用了一组已证明能够降低 LID 的化合物作为训练集,以识别新的重新定位候选物。使用所讨论的方法,将描述许多最初设想用于其他适应症的 LID 重新定位的候选物,这些候选物已经在非人类灵长类动物 LID 模型和/或临床中进行了疗效评估。本文是题为“药物再利用:旧分子,新方法快速推进 CNS 疾病药物发现和开发”的特刊的一部分。

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