School of Clinical Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Shandong Provincial Qianfoshan Hospital, First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
PLoS One. 2022 Aug 25;17(8):e0272428. doi: 10.1371/journal.pone.0272428. eCollection 2022.
Aanti-epileptic drugs have been used for treating epilepsy for decades, meanwhile, more than one hundred genes have been identified to be associated with risk of epilepsy; however, the interaction mechanism between anti-epileptic drugs and risk genes of epilepsy was still not clearly understood. In this study, we systematically explored the interaction of epilepsy risk genes and anti-epileptic drug targets through a network-based approach. Our results revealed that anti-epileptic drug targets were significantly over-represented in risk genes of epilepsy with 17 overlapping genes and P-value = 2.2 ×10 -16. We identified a significantly localized PPI network with 55 epileptic risk genes and 94 anti-epileptic drug target genes, and network overlap analysis showed significant interactome overlap between risk genes and drug targets with P-value = 0.04. Besides, genes from PPI network were significantly enriched in the co-expression network of epilepsy with 22 enriched genes and P-value = 1.3 ×10 -15; meanwhile, cell type enrichment analysis indicated genes in this network were significantly enriched in 4 brain cell types (Interneuron, Medium Spiny Neuron, CA1 pyramidal Neuron, and Somatosensory pyramidal Neuron). These results provide evidence for significant interactions between epilepsy risk genes and anti-epileptic drug targets from the perspective of network biology.
抗癫痫药物已被用于治疗癫痫数十年,同时,已有超过一百个基因被确定与癫痫的风险相关;然而,抗癫痫药物与癫痫风险基因之间的相互作用机制仍不清楚。在这项研究中,我们通过网络方法系统地探索了癫痫风险基因与抗癫痫药物靶点之间的相互作用。我们的结果表明,抗癫痫药物靶点在癫痫风险基因中显著过表达,有 17 个重叠基因,P 值=2.2×10-16。我们确定了一个具有 55 个癫痫风险基因和 94 个抗癫痫药物靶点的显著局部化 PPI 网络,网络重叠分析显示风险基因和药物靶点之间的互作网络有显著的重叠,P 值=0.04。此外,来自 PPI 网络的基因在癫痫的共表达网络中显著富集,有 22 个富集基因,P 值=1.3×10-15;同时,细胞类型富集分析表明该网络中的基因在 4 种脑细胞类型(中间神经元、中型棘突神经元、CA1 锥体神经元和感觉运动锥体神经元)中显著富集。这些结果从网络生物学的角度为癫痫风险基因与抗癫痫药物靶点之间的显著相互作用提供了证据。