Wang Yan, Li Chang, Xiong Zhongyv, Chen Niangen, Wang Xuesong, Xu Junyv, Wang Yuemei, Liu Longfeng, Wu Hang, Huang Caihui, Huang Aiqin, Tan Jiajia, Li Youbin, Li Qifu
Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Key Laboratory for Research and Development of Tropical Herbs, Department of Neurology, School of Pharmacy, The First Affiliated Hospital, Hainan Medical University, Haikou, China.
Key Laboratory of Brain Science Research and Transformation in Tropical Environment of Hainan Province, Department of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, China.
Front Pharmacol. 2022 Aug 12;13:962223. doi: 10.3389/fphar.2022.962223. eCollection 2022.
is a medically valuable plant with anti-epileptic activity; however, its mechanism of action remains unknown. In this study, network pharmacological, , and experiments were carried out to explore the potential anti-epileptic components and targets of . The main active components of were identified by searching the Traditional Chinese Medicine System Pharmacology database. Targets of were predicted using SwissTargetPrediction, whereas information about the epilepsy disease targets was obtained from Gene Cards. The protein-protein interaction network and core targets were screened according to the topological structure and CytoNCA plugin. The glutamate-induced HT22 cell line and pentylenetetrazol-induced seizure rats were used to confirm the effect of aloesone by detecting reactive oxygen species (ROS) and apoptosis, and predicting the targets. A total of 14 core active components were selected based on the screening criteria of oral bioavailability ≥30% and drug-likeness ≥ 0.10. Four compounds, namely linoleic acid, aloesone, isoeleutherol glucosiden qt, and anthranol, demonstrated the potential ability of crossing the blood-brain barrier. A total of 153 targets associated with epilepsy were predicted for the four compounds. Moreover, after network analysis with CytoNCA, 10 targets, namely, MAPK1, SRC, MARK3, EGFR, ESR1, PTGS2, PTPN11, JAK2, PPKCA, and FYN, were selected as the core genes, and SRC, which has been predicted to be the target of aloesone and anthranol, exhibited the highest subgraph centrality value. experiments confirmed that aloesone treatment significantly inhibited the glutamate-induced neuronal injury by reducing the intracellular ROS content and the early phase of apoptosis. Additionally, treatment with 50 mg/kg aloesone resulted in anti-seizure effects by reducing the seizure score and prolonging the latent period in acute and chronic rats. Furthermore, aloesone treatment increased the phosphorylation of c-SRC at Y418 and reduced the phosphorylation at Y529, simultaneously activating c-SRC. Integrating network pharmacology with and experiments demonstrated that aloesone, which inhibited seizure by activating c-SRC, is a potential anti-seizure compound present in .
是一种具有抗癫痫活性的医学上有价值的植物;然而,其作用机制尚不清楚。在本研究中,进行了网络药理学、[此处可能遗漏部分内容]和[此处可能遗漏部分内容]实验,以探索[植物名称]潜在的抗癫痫成分和靶点。通过搜索中药系统药理学数据库确定了[植物名称]的主要活性成分。使用SwissTargetPrediction预测[植物名称]的靶点,而从Gene Cards获得癫痫疾病靶点的信息。根据拓扑结构和CytoNCA插件筛选蛋白质-蛋白质相互作用网络和核心靶点。使用谷氨酸诱导的HT22细胞系和戊四氮诱导的癫痫大鼠,通过检测活性氧(ROS)和凋亡来确认芦荟酮的作用,并预测靶点。根据口服生物利用度≥30%和类药性≥0.10的筛选标准,共选择了14种核心活性成分。四种化合物,即亚油酸、芦荟酮、异刺五加苷qt和蒽酚,显示出穿越血脑屏障的潜在能力。这四种化合物共预测到153个与癫痫相关的靶点。此外,经CytoNCA网络分析后,选择了10个靶点,即MAPK1、SRC、MARK3、EGFR、ESR1、PTGS2、PTPN11、JAK2、PPKCA和FYN作为核心基因,其中已预测为芦荟酮和蒽酚靶点的SRC表现出最高的子图中心性值。[此处可能遗漏部分内容]实验证实,芦荟酮处理通过降低细胞内ROS含量和凋亡早期阶段,显著抑制了谷氨酸诱导的神经元损伤。此外,5
0 mg/kg芦荟酮处理通过降低急性和慢性大鼠的癫痫发作评分并延长潜伏期,产生了抗癫痫作用。此外,芦荟酮处理增加了c-SRC在Y418处的磷酸化并降低了Y529处的磷酸化,同时激活了c-SRC。将网络药理学与[此处可能遗漏部分内容]和[此处可能遗漏部分内容]实验相结合表明,芦荟酮通过激活c-SRC抑制癫痫发作,是[植物名称]中一种潜在的抗癫痫化合物。