Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 17, 04 December 2023
Open
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Analysis of treatment methods for Parkinson's disease
* Author to whom correspondence should be addressed.
Abstract
This research mainly introduces the symptoms and harms of Parkinson's disease, as well as the mainstream treatment methods in the past five years and potential treatments for Parkinson's disease (PD) in the future. First of all, it talks about a biological treatment of PD. Levodopa and dopamine, which is currently the main drug used to relieve PD motor symptoms. It helps patients reduce motor symptoms as much as possible by supplementing the lack of dopamine in the brain. Secondly, it talks about MAO-B inhibitors, like medicine rasagiline and selegiline. These drugs increase dopamine availability by inhibiting dopamine metabolism, thereby reducing the symptoms of PD while reducing potential drug side effects. In addition, this research introduces two potential treatments for PD that are under development: nanomedicine and deep brain stimulation (DBS). The application of nanomedicine in PD treatment such as how it can improve the lives of PD patients through innovative methods in drug delivery, early diagnosis and nerve repair and some potential problems of nanomedicine during PD treatment, and how deep brain stimulation, a surgical treatment, can significantly reduce the symptoms of PD by implanting electrodes and stimulating specific brain areas, thereby improving patients' quality of life.
Keywords
Parkinson's Disease, Drug Treatment, Application
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Modern Medicine and Global Health
- ISBN (Print)
- 978-1-83558-197-1
- ISBN (Online)
- 978-1-83558-198-8
- Published Date
- 04 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/17/20240646
- Copyright
- 04 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited