Nong Yuan, Liang Yujia, Liang Xiaoliu, Li Yongming, Yang Bin
Department of Neurology (Area Two), Guigang City People's Hospital, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, PR China.
College of Pharmacy, Guangxi Medical University, Nanning, Guangxi, PR China.
Aging (Albany NY). 2020 Oct 8;12(19):19468-19492. doi: 10.18632/aging.103886.
This report aimed to identity the potential anti-meningitis targets and mechanisms functioned by calycosin through network pharmacology approach. The bioinformatics databases were used to screen and collect the candidate genes/targets of calycosin and meningitis prior to identification of vital biotargets of calycosin-anti-meningitis. Additionally, the functional processes, signaling pathways of calycosin-anti-meningitis were screened and identified before further data visualization. As a result, all candidate and mapped biotargets of calycosin and meningitis were harvested before the vital targets of epidermal growth factor receptor (EGFR), tumor necrosis factor (TNF), epidermal growth factor (EGF), ataxia telangiectasia mutated protein (ATM), estrogen receptor alpha (ESR1), caspase-8 (CASP8), nerve growth factor (NGF) of calycosin-anti-meningitis were identified. The molecular processes of calycosin-anti-meningitis were screened and identified, including reduction of inflammatory development. Furthermore, the molecular pathways of calycosin-anti-meningitis were revealed, including suppression of NF-kappa B, Toll-like receptor, TNF signaling pathways. Molecular docking findings uncovered the docking capacity of calycosin with meningitis and potential pharmacological activity of calycosin against meningitis. In conclusion, these bioinformatic data uncovered the network targets and mechanisms of calycosin-anti-meningitis. And the current findings indicated that the vital targets might be used as potent biomarkers for detecting meningitis.
本报告旨在通过网络药理学方法确定毛蕊异黄酮发挥抗脑膜炎作用的潜在靶点和机制。在确定毛蕊异黄酮抗脑膜炎的关键生物靶点之前,利用生物信息学数据库筛选并收集毛蕊异黄酮和脑膜炎的候选基因/靶点。此外,在进一步进行数据可视化之前,对毛蕊异黄酮抗脑膜炎的功能过程、信号通路进行了筛选和鉴定。结果,在确定毛蕊异黄酮抗脑膜炎的关键靶点表皮生长因子受体(EGFR)、肿瘤坏死因子(TNF)、表皮生长因子(EGF)、共济失调毛细血管扩张突变蛋白(ATM)、雌激素受体α(ESR1)、半胱天冬酶8(CASP8)、神经生长因子(NGF)之前,收集了毛蕊异黄酮和脑膜炎的所有候选及映射生物靶点。筛选并鉴定了毛蕊异黄酮抗脑膜炎的分子过程,包括炎症发展的减轻。此外,揭示了毛蕊异黄酮抗脑膜炎的分子途径,包括对NF-κB、Toll样受体、TNF信号通路的抑制。分子对接结果揭示了毛蕊异黄酮与脑膜炎的对接能力以及毛蕊异黄酮对脑膜炎的潜在药理活性。总之,这些生物信息学数据揭示了毛蕊异黄酮抗脑膜炎的网络靶点和机制。目前的研究结果表明,这些关键靶点可能用作检测脑膜炎的有效生物标志物。