Prospects for Disease Slowing in Parkinson Disease.


Journal

Annual review of pharmacology and toxicology
ISSN: 1545-4304
Titre abrégé: Annu Rev Pharmacol Toxicol
Pays: United States
ID NLM: 7607088

Informations de publication

Date de publication:
01 Aug 2024
Historique:
medline: 1 8 2024
pubmed: 1 8 2024
entrez: 1 8 2024
Statut: aheadofprint

Résumé

The increasing prevalence of Parkinson disease (PD) highlights the need to develop interventions aimed at slowing or halting its progression. As a result of sophisticated disease modeling in preclinical studies, and refinement of specific clinical/genetic/pathological profiles, our understanding of PD pathogenesis has grown over the years, leading to the identification of several targets for disease modification. This has translated to the development of targeted therapies, many of which have entered clinical trials. Nonetheless, up until now, none of these treatments have satisfactorily shown disease-modifying effects in PD. In this review, we present the most up-to-date disease-modifying pharmacological interventions in the clinical trial pipeline for PD. We focus on agents that have reached more advanced stages of clinical trials testing, highlighting both positive and negative results, and critically reflect on strengths, weaknesses, and challenges of current disease-modifying therapeutic avenues in PD.

Identifiants

pubmed: 39088860
doi: 10.1146/annurev-pharmtox-022124-033653
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Elisa Menozzi (E)

1Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom; email: a.schapira@ucl.ac.uk.
2Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, Maryland, USA.

Anthony H V Schapira (AHV)

1Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom; email: a.schapira@ucl.ac.uk.
2Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, Maryland, USA.

Classifications MeSH