1. Repurposing drugs to treat l-DOPA-induced dyskinesia in Parkinson's disease
- Author
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Tom H. Johnston, Jonathan M. Brotchie, Susan H. Fox, Anthony E. Lang, Naomi P. Visanji, and Alix M. B. Lacoste
- Subjects
0301 basic medicine ,Dyskinesia, Drug-Induced ,Parkinson's disease ,Phenotypic screening ,Computational biology ,Antiparkinson Agents ,Levodopa ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,medicine ,Animals ,Humans ,Repurposing ,Randomized Controlled Trials as Topic ,Pharmacology ,Drug discovery ,business.industry ,Drug Repositioning ,Investigational New Drug ,Parkinson Disease ,medicine.disease ,Disease Models, Animal ,Drug repositioning ,030104 developmental biology ,Dyskinesia ,Related disorder ,medicine.symptom ,business ,030217 neurology & neurosurgery - 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’.
- Published
- 2019
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