使用基因调节网络分析来重新利用药物治疗双相情感障碍
Trang T T Truong1, Zoe S J Liu1, Bruna Panizzutti1
1Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
Journal of affective disorders
|January 8, 2024
概括
这项研究使用基因调节网络来寻找双相情感障碍 (BD) 的新药重定位候选者. 确定了十种有前途的治疗方法,为新的治疗策略提供了希望.
科学领域:
- 计算生物学是一种计算生物学.
- 基因组学就是基因组学.
- 神经科学是一个神经科学.
背景情况:
- 双极性障碍 (BD) 对药物发现提出了重大挑战,需要创新的治疗方法.
- 在计算方法和广泛的生物医学数据的帮助下,药物的重新用途为识别新型BD治疗提供了一个有希望的途径.
研究的目的:
- 使用基因调节网络 (GRNs) 识别双相情感障碍 (BD) 中的显著调节变化.
- 为了利用基于网络的签名,在BD治疗策略中重新利用药物.
主要方法:
- 利用PANDA算法分析BD患者和对照患者的转录因子-GRNs.
- 集成的结合动机,蛋白质相互作用和基因共同表达数据以识别差异性网络签名.
- 在GRAND数据库中使用CLUEreg工具,基于已识别的基因签名来重新使用药物.
主要成果:
- 从216个死后大脑RNA-seq样本 (CommonMind联盟) 中构建GRNs,涉及15271个基因和405个转录因子.
- 突出转录因子对BD免疫反应,能量代谢,细胞信号和细胞粘附途径的显著影响.
- 确定了10个有前途的药物重新定位候选人,用于潜在的BD治疗.
结论:
- 需要对重新定位候选物质 (如凯姆菲罗尔和普拉莫卡因) 进行进一步的研究,以阐明它们在BD中的机制和有效性.
- 像PARP1和A2b这样的新目标需要对其潜在的相关性和双相情感障碍的治疗应用进行调查.
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