Rivaldo Rafly Mochamad, Chandra Paulus
Undergraduate Medical Study Program, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
J Adv Pharm Technol Res. 2024 Jul-Sep;15(3):177-184. doi: 10.4103/JAPTR.JAPTR_49_24. Epub 2024 Jul 22.
Triple-negative breast cancer (TNBC) is one of the most common types of serious breast cancer. Due to the absence of therapeutic hormone receptors, TNBC treatment generally involves chemotherapy which results in various side effects and resistance development. Herbal compounds, including α-mangostin, have shown potential anticancer effects against TNBC. However, rigorous screening is needed to uncover its mechanisms and characteristics. The aim of this study was to understand the molecular mechanism of α-mangostin against TNBC and its possible limitations. The study design used is an study. The study involved database mining and compound characteristic analysis. Network pharmacology and molecular docking were also done to explore potential target and molecular mechanisms against TNBC. There was no statistical analysis conducted as this study relies on predefined algorithms and simulation models. Instead, a parameter threshold was used for each analysis to ensure its reliability. Prediction of Activity Spectra for Substances prediction and Gene Ontology-Kyoto Encyclopedia of Genes and Genomes enrichment predicted potential anticancer effects of α-mangostin through the regulation of enzyme activity and apoptotic pathway. Compound property predictions showed α-mangostin to have promising drug-likeness with sufficient bioavailability and low biodegradability. However, α-mangostin still has some potential limitations in water solubility and toxicity risks. Through network pharmacology, 75 potential target proteins of α-mangostin in TNBC cases were found. The top three most significant of which (AKT1, CTNNB1, and HSPAA91) were proven to bind with α-mangostin through molecular docking. Study results suggested α-mangostin to have a promising anticancer and chemopreventive activity with great drug-likeness and pharmacokinetic properties. It was revealed that α-mangostin can bind to key components in TNBC-related pathways, including AKT1, CTNNB1, and HSP90AA1 proteins. However, further experimental studies may be needed to verify its effectiveness as well as possible solubility and toxicity limitations.
三阴性乳腺癌(TNBC)是最常见的严重乳腺癌类型之一。由于缺乏治疗性激素受体,TNBC的治疗通常涉及化疗,这会导致各种副作用和耐药性的产生。包括α-山竹黄酮在内的草药化合物已显示出对TNBC的潜在抗癌作用。然而,需要进行严格的筛选以揭示其作用机制和特性。本研究的目的是了解α-山竹黄酮对TNBC的分子机制及其可能的局限性。所采用的研究设计是一项 研究。该研究涉及数据库挖掘和化合物特性分析。还进行了网络药理学和分子对接,以探索针对TNBC的潜在靶点和分子机制。由于本研究依赖于预定义的算法和模拟模型,因此未进行统计分析。相反,对每个分析使用参数阈值以确保其可靠性。物质活性谱预测和基因本体-京都基因与基因组百科全书富集预测了α-山竹黄酮通过调节酶活性和凋亡途径的潜在抗癌作用。化合物性质预测表明α-山竹黄酮具有良好的类药物性质,具有足够的生物利用度和低生物降解性。然而,α-山竹黄酮在水溶性和毒性风险方面仍存在一些潜在局限性。通过网络药理学,发现了α-山竹黄酮在TNBC病例中的75个潜在靶蛋白。其中最重要的三个(AKT1、CTNNB1和HSPAA91)已通过分子对接证明与α-山竹黄酮结合。研究结果表明α-山竹黄酮具有良好的抗癌和化学预防活性,具有良好的类药物性质和药代动力学性质。研究发现α-山竹黄酮可以与TNBC相关途径中的关键成分结合,包括AKT1、CTNNB1和HSP90AA1蛋白。然而,可能需要进一步的实验研究来验证其有效性以及可能的溶解性和毒性局限性。