Article
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Comprehensive Analysis of Various Parkinson-Like Events and Induced Drugs
Version 1
: Received: 4 June 2024 / Approved: 5 June 2024 / Online: 5 June 2024 (08:25:00 CEST)
A peer-reviewed article of this Preprint also exists.
Kikegawa, M.; Sone, H.; Uesawa, Y. Comprehensive Analysis of Drug-Induced Parkinson-like Events. Pharmaceuticals 2024, 17, 1099. Kikegawa, M.; Sone, H.; Uesawa, Y. Comprehensive Analysis of Drug-Induced Parkinson-like Events. Pharmaceuticals 2024, 17, 1099.
Abstract
Parkinson-like events are side effects that may persist for an extended period even after drug administration is discontinued. Although these events can be triggered by various drugs, the mechanisms underlying their diverse symptoms remain largely unclear. To investigate this, we used the Japanese Adverse Drug Event Reporting Database, which is maintained by the Phar-maceuticals and Medical Devices Agency, to analyze the risk factors associated with Parkinson-like events along with associated drug trends and characteristics. Our findings indicate that similar to Parkinson’s disease, age-related differences affect the onset of these events, with older individuals being more susceptible. Hierarchical clustering and principal component analysis revealed that the mechanisms triggering these Parkinson-like events are consistent across reports, suggesting a common underlying cause. However, even with a consistent mechanism, side effects can vary depending on the site of action. These insights underline the importance of swift identification of the drugs suspected of causing these events and implementation of measures to reduce their side effects.
Keywords
Parkinson-like events; Japanese Adverse Drug Event Report database; spontaneous reporting system; volcano plot; hierarchical clustering; principal component analysis
Subject
Medicine and Pharmacology, Pharmacology and Toxicology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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