Mutiah Roihatul, Rachmawati Ermin
Department of Pharmacy, Faculty of Medicine and Health Sciences, UIN Maulana Malik Ibrahim Malang, Malang, Indonesia.
Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, UIN Maulana Malik Ibrahim Malang, Malang, Indonesia.
J Adv Pharm Technol Res. 2024 Jan-Mar;15(1):49-55. doi: 10.4103/JAPTR.JAPTR_334_23. Epub 2024 Jan 15.
Chemotherapy application in lung cancer patients has several side effects and shows lower effectiveness due to chemoresistance. Although (Mill.) Urb. (EBE) elicit anticancer properties, yet the exact profile of its active compounds and lung cancer inhibition mechanisms were not fully understood. This study aimed to identify suggestive compounds from EBE extract and explain the molecular mechanisms of EBE against lung cancer. Identification of the compound from the EBE extract was confirmed using liquid chromatography-tandem mass spectrophotometry (LC-MS/MS). The bioavailability profile of three major metabolites was identified using absorption, distribution, metabolism, excretion, toxicity software. The anticancer molecular mechanism prediction of the drugs was ascertained by network pharmacology using Cytoscape 3.9.1 and the protein-protein interaction network technique with STRING 11.0. Interaction between resveratrol and extracellular growth factor receptor (EGFR) was analyzed using site-specific molecular docking with erlotinib as the control using PyRx Autodock Vina 9.0 and BIOVIA Discovery Studio. A total of 16 active compounds were identified from LC-MS/MS. Only resveratrol showed anticancer properties by its interaction with 13 genes and 6 signaling pathways related to lung cancer. The molecular docking result supports the network pharmacology finding. The binding affinity of resveratrol with EGFR, important receptor in lung cancer, was more negative (-6.9 kcal/mol) than erlotinib (-6.2 kcal/mol) as the control. Evidence suggested that resveratrol in EBE exhibits anticancer effects by modulating lung cancer cell proliferation and apoptosis through EGFR binding.
肺癌患者应用化疗存在多种副作用,且由于化疗耐药性,其疗效较低。尽管紫茎泽兰(Eupatorium adenophorum (Spreng.))具有抗癌特性,但其活性化合物的确切情况及其抑制肺癌的机制尚未完全明确。本研究旨在从紫茎泽兰提取物中鉴定有潜在作用的化合物,并解释其抗肺癌的分子机制。采用液相色谱 - 串联质谱法(LC-MS/MS)对紫茎泽兰提取物中的化合物进行鉴定。使用吸收、分布、代谢、排泄、毒性软件确定三种主要代谢物的生物利用度情况。通过网络药理学,利用Cytoscape 3.9.1和STRING 11.0的蛋白质 - 蛋白质相互作用网络技术确定药物的抗癌分子机制预测。以厄洛替尼作为对照,使用PyRx Autodock Vina 9.0和BIOVIA Discovery Studio通过位点特异性分子对接分析白藜芦醇与细胞外生长因子受体(EGFR)之间的相互作用。通过LC-MS/MS共鉴定出16种活性化合物。仅白藜芦醇通过与13个与肺癌相关的基因和6条信号通路相互作用表现出抗癌特性。分子对接结果支持网络药理学的发现。白藜芦醇与肺癌中重要受体EGFR的结合亲和力比作为对照的厄洛替尼更负(-6.9千卡/摩尔对-6.2千卡/摩尔)。有证据表明,紫茎泽兰中的白藜芦醇通过与EGFR结合调节肺癌细胞增殖和凋亡,从而发挥抗癌作用。