Molecular understanding of the translational models and the therapeutic potential natural products of Parkinson's disease - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Journal Articles Biomedicine and Pharmacotherapy Year : 2022

Molecular understanding of the translational models and the therapeutic potential natural products of Parkinson's disease

Abstract

Parkinson's disease is the second most prevalent neurodegenerative disease after Alzheimer's disease, mostly happened in the elder population and the prevalence gradually increased with age. Parkinson's disease is a movement disorder that severely affects patients' daily life. The mechanism of Parkinson's disease still remains unknown, however, studies already proved that the damage or absence of dopaminergic neurons located in the substantia nigra and the decreased dopamine in the striatum are significantly related to Parkinson's disease. To date, the mainstream treatment of Parkinson's disease has been achieved by alleviating its associated morbid symptoms, such as the use of levodopa, carbidopa, dopamine receptor agonists, monoamine oxidase type B inhibitors, anticholinergic drugs, etc. However, strong side effects, even toxicity, have been reported after using these drugs, with reduced effectiveness over time. Plant compounds have shown good therapeutic effects in neurodegenerative diseases as a less toxic treatment. In this review, we have compiled several natural plant compounds and classified the currently reported compounds for therapeutic use based on their structural parent nuclei and constituent elements. We wish to inspire new ideas for the treatment of Parkinson's disease by summarizing their mechanisms.

Dates and versions

hal-04337140 , version 1 (12-12-2023)

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Meijun Pang, Rui Peng, Yiwen Wang, Yi Zhu, Peng Wang, et al.. Molecular understanding of the translational models and the therapeutic potential natural products of Parkinson's disease. Biomedicine and Pharmacotherapy, 2022, 155, pp.113718. ⟨10.1016/j.biopha.2022.113718⟩. ⟨hal-04337140⟩
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