使用基于网络的方法识别可能用于Lewy体痴呆症的可重置药物
Megha Manoj1, Siddarth Sowmyanarayan1, Arjun V Kowshik1
1Department of Biotechnology, PES University, Bangalore, 560085, India.
Journal of molecular neuroscience : MN
|February 16, 2024
概括
这项研究使用网络医学重新使用了现有的利维体痴呆症 (LBD) 药物. 研究人员确定了8种抗抑郁药物,包括选择性血清素和上腺素抑制剂,作为LBD的潜在治疗方法.
科学领域:
- 神经科学是一个神经科学.
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 莱维体痴呆症 (LBD) 是一种进展性神经疾病,没有有效的治疗方法,其特点是神经元损失和多种症状.
- 传统的单一向药物方法未能为LBD提供治疗解决方案.
研究的目的:
- 通过采用网络医学方法,重新利用现有的药物治疗勒维体痴呆症 (LBD).
- 通过分析与疾病相关的基因和蛋白质的药物相互作用来确定潜在的治疗候选者.
主要方法:
- 利用SAveRUNNER算法来评估药物与人体相互作用体内的LBD相关基因和蛋白质点的接近性.
- 用于基因组丰富分析的使用连接地图 (CMap) 和用于验证候选药物的途径丰富分析的EnrichR.
- 专注于确定在LBD病变发生过程中具有重要意义的突触囊泡路径.
主要成果:
- 预计有154种FDA批准的药物,其中许多针对神经系统疾病,其中普利和塞利吉林被认为具有非标签潜力.
- 确定了8种抗抑郁药物,向血清素,多巴胺和北上腺素载体,作为LBD治疗的有前途的候选药物.
- 已验证的选择性血清素和上腺素再吸收抑制剂 (SSRI/SNRIs),如米尔纳西pran,protriptyline和venlafaxine,用于潜在的LBD管理.
结论:
- 网络医学和药物再利用为识别新型LBD治疗方法提供了可行的策略.
- 针对单胺转运体的特定抗抑郁药物在管理LBD及其相关症状方面表现有前途.
- 对这些已识别的候选药物的进一步调查可能会导致有效的LBD治疗.
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