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药物诱发帕金森样事件的综合分析

Comprehensive Analysis of Drug-Induced Parkinson-like Events.

作者信息

Kikegawa Mami, Sone Hideko, Uesawa Yoshihiro

机构信息

Department of Medical Molecular Informatics, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose 204-8588, Japan.

Department of Kampo Medicine, Yokohama University of Pharmacy, Yokohama 245-0066, Japan.

出版信息

Pharmaceuticals (Basel). 2024 Aug 22;17(8):1099. doi: 10.3390/ph17081099.

DOI:10.3390/ph17081099
PMID:39204204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11359003/
Abstract

Specific drugs are well known to have the capacity to induce Parkinson-like symptoms. 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 Pharmaceuticals and Medical Devices Agency, to analyze the risk factors associated with Parkinson-like events along with the associated drug trends and characteristics. Our findings indicate that similar to Parkinson's disease, age-related differences affect the onset of these reported 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, the side effects can vary depending on the site of action. These insights underline the importance of the swift identification of the drugs suspected of causing these events and the implementation of measures to reduce their side effects.

摘要

众所周知,特定药物有诱发帕金森样症状的能力。帕金森样事件是副作用,即使在停药后也可能持续很长一段时间。尽管这些事件可由多种药物引发,但其多样症状背后的机制仍基本不明。为对此进行研究,我们使用了由药品和医疗器械管理局维护的日本药品不良反应报告数据库,来分析与帕金森样事件相关的风险因素以及相关药物趋势和特征。我们的研究结果表明,与帕金森病类似,年龄相关差异会影响这些报告事件的发生,老年人更易患病。层次聚类和主成分分析表明,引发这些帕金森样事件的机制在各报告中是一致的,提示存在共同的潜在原因。然而,即便机制一致,副作用也可能因作用部位而异。这些见解强调了迅速识别疑似引发这些事件的药物并采取措施减少其副作用的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/a8a598dd5540/pharmaceuticals-17-01099-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/2b792d901fa6/pharmaceuticals-17-01099-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/2420c702adcd/pharmaceuticals-17-01099-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/229897c1261a/pharmaceuticals-17-01099-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/cef5ed657744/pharmaceuticals-17-01099-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/a8a598dd5540/pharmaceuticals-17-01099-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/2b792d901fa6/pharmaceuticals-17-01099-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/2420c702adcd/pharmaceuticals-17-01099-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/229897c1261a/pharmaceuticals-17-01099-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/cef5ed657744/pharmaceuticals-17-01099-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46fb/11359003/a8a598dd5540/pharmaceuticals-17-01099-g005.jpg

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本文引用的文献

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3
Impaired functional connectivity of sensorimotor network predicts recovery in drug-induced parkinsonism.
感觉运动网络功能连接障碍可预测药物诱导性帕金森病的恢复。
Parkinsonism Relat Disord. 2020 May;74:16-21. doi: 10.1016/j.parkreldis.2020.03.031. Epub 2020 Apr 6.
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BMC Psychiatry. 2019 Nov 14;19(1):362. doi: 10.1186/s12888-019-2318-x.
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