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利用基因表达特征数据对特发性癫痫进行药物重新定位。

Drug repositioning for idiopathic epilepsy using gene expression signature data.

作者信息

Kumar Pawan, Sheokand Deepak, Grewal Annu, Saini Vandana, Kumar Ajit

机构信息

Toxicology and Computational Biology Group, Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, Haryana, 124001.

出版信息

Bioinformation. 2022 Oct 31;18(10):845-852. doi: 10.6026/97320630018845. eCollection 2022.

Abstract

Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic patients remain un-treated after the therapeutic option. Genetic or idiopathic epilepsy count about 40% of total epilepsy patients, showing a maximum percentage for drug-resistant epilepsy. Since the last century basic approach to understanding disease progression and drug discovery has been through the prism, exploring all possible causes and treatment options. Here we report about the gene expression-based drug repositioning study for epilepsy. Epilepsy gene expression data was retrieved from the Gene Expression Omnibus database, while drugs-associated gene expression data was retrieved from the Connectivity map (CMAP). The study predicted309 drug compounds which can alter genetic epilepsy-mediated gene signature using an in-house developed R-script. These compounds were docked against identified epilepsy targets- Voltage-gated sodium channel subunit α2 (Nav1.2); GABA receptor α1-β1; and Voltage-gated calcium channel α1G (Cav3.1)using Carbamazepine, Clonazepam, and Pregabalin as standard drugs, respectively. Twenty-one predicted drug compounds showed better binding affinity than respective standards against the selected epileptic receptors. Among these drug compounds, Ergocalciferol, Oxaprozin, Flunarizine, Triprolidine and Cyproheptadine have been previously reported for anti-epileptic activities and can be potential hits to target idiopathic epilepsy.

摘要

癫痫是最常见的神经系统疾病之一,影响着数百万患者,带来了巨大的经济和人力负担。约30%-40%的癫痫患者在接受治疗后仍未得到有效治疗。遗传性或特发性癫痫约占癫痫患者总数的40%,在耐药性癫痫中占比最高。自上世纪以来,理解疾病进展和药物研发的基本方法一直是通过探索所有可能的病因和治疗方案。在此,我们报告基于基因表达的癫痫药物重新定位研究。癫痫基因表达数据从基因表达综合数据库中检索,而与药物相关的基因表达数据从连通性图谱(CMAP)中检索。该研究使用内部开发的R脚本预测了309种可改变遗传性癫痫介导的基因特征的药物化合物。分别以卡马西平、氯硝西泮和普瑞巴林作为标准药物,将这些化合物与已确定的癫痫靶点——电压门控钠通道亚基α2(Nav1.2)、GABA受体α1-β1和电压门控钙通道α1G(Cav3.1)进行对接。21种预测的药物化合物对选定的癫痫受体显示出比各自标准药物更好的结合亲和力。在这些药物化合物中,麦角钙化醇、奥沙普秦、氟桂利嗪、曲普利啶和赛庚啶此前已被报道具有抗癫痫活性,可能是治疗特发性癫痫的潜在有效药物。

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本文引用的文献

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Targeting Endocannabinoid System in Epilepsy: For Good or for Bad.靶向内源性大麻素系统治疗癫痫:有利有弊。
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Neurotherapeutics. 2021 Jul;18(3):1490-1499. doi: 10.1007/s13311-021-01110-w. Epub 2021 Aug 24.
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Gabapentin add-on treatment for drug-resistant focal epilepsy.加巴喷丁添加治疗耐药性局灶性癫痫。
Cochrane Database Syst Rev. 2021 Jan 12;1(1):CD001415. doi: 10.1002/14651858.CD001415.pub4.
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Herbal Medicine in the Treatment of Epilepsy.草药治疗癫痫。
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