精神分裂症互动分子衍生可重组药物和两个候选人的随机对照试验
Madhavi K Ganapathiraju1, Triptish Bhatia2, Smita Deshpande3
1Department of Biomedical Informatics and Intelligent Systems Program, University of Pittsburgh, Pittsburgh, Pennsylvania; Carnegie Mellon University in Qatar, Doha, Qatar.
Biological psychiatry
|July 1, 2024
概括
这项研究通过对生物数据的计算分析,重新利用现有的精神分裂症 (SZ) 药物. 目前有两种有前途的候选药物正在临床试验中,用于治疗不完全响应的患者.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 严重的精神疾病,如精神分裂症 (SZ) 有一个重要的未满足的需要有效的治疗.
- 现有的SZ治疗方法通常在有效性和患者接受方面存在局限性.
- 将已知安全性配置文件的批准药物重新使用为新疗法提供了更快的途径.
研究的目的:
- 以计算方式识别和优先考虑现有的药物,以便重新用于治疗精神分裂症.
- 为合理的药物发现利用基因组,转录组和药理学数据.
- 通过专注于已确立安全性的药物来加速临床转化.
主要方法:
- 开发了一种计算方法,在精神分裂症交互组中分析药物标.
- 在SZ中对比转录组变化与药物诱导的调制.
- 基于SZ相关通路和相关基因的网络丰富的过候选药物.
主要成果:
- 确定了12种用于SZ重新利用的候选药物.
- 9名候选人通过途径和基因关联丰富表现出进一步的支持.
- 选择了两个顶级候选人,用于SZ或精神分裂症患者的辅助随机对照试验.
结论:
- 综合计算分析可以有效地识别和排名临床试验的药物.
- 重用已批准的药物简化了SZ治疗的开发过程.
- 这种方法可以代并扩展到其他精神疾病和疾病亚型.
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