Pharmacological targets and mechanisms of calycosin against meningitis.
Pharmacological targets and mechanisms of calycosin against meningitis.
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DOI：
10.18632/aging.103886
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发表时间：
2020-10-08
期刊：
影响因子：
--
通讯作者：
Yang B
中科院分区：
文献类型：
--
作者：
Nong Y;Liang Y;Liang X;Li Y;Yang B
本报告旨在通过网络药理学方法确定毛蕊异黄酮潜在的抗脑膜炎作用靶点和作用机制。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/靶标，为毛蕊异黄酮抗脑膜炎的重要生物靶标的鉴定奠定基础。此外，还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，为进一步的数据可视化奠定了基础。结果，在鉴定毛蕊异黄酮抗脑膜炎的重要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（ESR 1）、半胱天冬酶-8（CASP 8）、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和定位的生物靶点。筛选和鉴定毛蕊异黄酮抗脑膜炎的分子过程，包括减少炎症发展。进一步揭示了毛蕊异黄酮抗脑膜炎的分子机制，包括抑制NF-κ B、Toll样受体、TNF信号通路等。分子对接结果揭示了毛蕊异黄酮与脑膜炎的对接能力和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，重要的目标可能被用作检测脑膜炎的有效生物标志物。
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.
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