探讨抗精神病药物向基因和之间的关系:来自食品和药物管理局不良事件报告系统数据库和门德尔随机化的证据
Ziqian Yin1,2, Zheng Zhan1,2, Youjia Qiu1,2
1Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Brain and behavior
|April 2, 2025
概括
抗精神病药物可能会增加风险,MCHR1和SIGMAR1基因显示因果关系. 这项研究为患有精神疾病的患者治疗提供了新的见解.
科学领域:
- 药物基因组学 药物基因组学
- 神经发病学 神经发病学
- 药物不良事件分析
背景情况:
- 抗精神病药物和之间的关系受到争论.
- 抗精神病药物经常被处方用于精神疾病,这可能与同时发生.
研究的目的:
- 通过使用大规模的遗传和不良事件数据,调查抗精神病药物和之间的关联.
- 澄清抗精神病药物向特定基因对发育和风险的潜在因果影响.
主要方法:
- 利用食品和药物管理局的不良事件报告系统 (FAERS) 识别与抗精神病药物相关的相关的不良事件.
- 采用孟德尔随机化 (MR),基于总结数据的孟德尔随机化 (SMR) 和使用eQTLGen,GTEx,FinnGen和ILAE等财团的基因表达和遗传数据进行局部化分析.
- 对来自MR/SMR分析的显著基因进行了元分析,以确认因果关系并评估异质性和性.
主要成果:
- 根据FAERS的数据,与63种抗精神病药物相关的相关的5121个不良事件.
- 核磁共振分析发现了14种潜在的因果药物病和其亚型的基因.
- 在元分析后,MCHR1和SIGMAR1仍然显著,没有显示异质性或性,这表明与有强大的因果关系. DRD4和ADRA1D显示出强烈的关联,但没有通过HEIDI测试.
结论:
- 抗精神病药物的使用与相关的不良事件的显著发病率有关.
- 门德尔随机化分析提供了特定药物基因与之间因果关系的证据.
- 研究结果为优化同时出现精神疾病的患者治疗提供了宝贵的见解,指导了更安全的处方实践.
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