Cai, H., Liu, D., Xue, W.-W. et al. (3 more authors) (2024) Lipid-based nanoparticles for drug delivery in Parkinson’s disease. Translational Neuroscience, 15 (1). ISSN 2081-3856
Abstract
Parkinson’s disease (PD) is a neurodegenerative disorder that predominantly affects dopaminergic neurons in the substantia nigra and ventral tegmental area, resulting in symptoms such as tremors, muscle rigidity, bradykinesia, and potential cognitive and affective disturbances. The effective delivery of pharmacological agents to the central nervous system is hindered by various factors, including the restrictive properties of the blood‒brain barrier and blood‒spinal cord barrier, as well as the physicochemical characteristics of the drugs. Traditional drug delivery methods may not provide the therapeutic concentrations necessary for functional restoration in PD patients. However, lipid-based nanoparticles (NPs) offer new possibilities for enhancing the bioavailability of established treatment regimens and developing innovative therapies that can modify the course of the disease. This review provides a concise overview of recent advances in lipid-based NP strategies aimed at mitigating specific pathological mechanisms relevant to PD progression. This study also explores the potential applications of nanotechnological innovations in the development of advanced treatment modalities for individuals with PD.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Parkinson’s disease; lipid-based nanoparticles; blood‒brain barrier; drug delivery; nanomedicine |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Dec 2024 16:24 |
Last Modified: | 13 Dec 2024 16:24 |
Status: | Published |
Publisher: | Walter de Gruyter GmbH |
Refereed: | Yes |
Identification Number: | 10.1515/tnsci-2022-0359 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220605 |