In vitro and in silico studies of the inclusion complexation of 8-bromobaicalein with β-cyclodextrins

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-07-31 DOI:10.1016/j.jmgm.2024.108840
Noriyuki Yasuda , Saba Ali , Aamir Aman , Kuakarun Krusong , Noval Herfindo , Warinthorn Chavasiri , Kiattawee Choowongkomon , Peter Wolschann , Panupong Mahalapbutr , Thanyada Rungrotmongkol , Supot Hannongbua
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Abstract

Baicalein, a flavone derived from Scutellaria baicalensis Georgi, exhibits potent anti-inflammatory, antiviral, and anticancer properties. Its derivative, known as 8-bromobaicalein (BB), has been found to have strong cytotoxic effect on MCF-7 human breast cancer cells. However, its limited solubility in water has hindered its potential for wider applications. To address this issue, we investigated the use of cyclodextrins specifically βCD, 2,6-di-O-methyl-β-cyclodextrin (DMβCD), and hydroxypropyl-β-cyclodextrin (HPβCD) to improve the solubility of BB through inclusion complexation. During 250 ns molecular dynamics simulations, it was found that BB can form inclusion complexes with all βCDs. These complexes exhibit two distinct orientations: chromone group insertion (C-form) and phenyl group insertion (P-form). The formation of these complexes is primarily driven by van der Waals interactions. DMβCD has the highest number of atom contacts with BB and the lowest solvent accessibility in the hydrophobic cavity. These results coincide with the highest binding affinity from the MM/GBSA-based free energy calculation method. Experimental phase solubility diagrams revealed a 1:1 stoichiometric ratio (AL type) between BB and βCDs, in which BB/DMβCD showed the highest stability. The formation of inclusion complexes was confirmed by differential scanning calorimetry and scanning electron microscope methods. Additionally, the BB/DMβCD inclusion complex demonstrated significantly higher anticancer activity against MCF-7 human breast cancer cells compared to BB alone. These findings underscore the potential of DMβCD for formulating BB in pharmaceutical and medical applications.

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8-bromobaicalein 与 β-环糊精包合物的体外和硅学研究。
黄芩苷是从黄芩(Scutellaria baicalensis Georgi)中提取的一种黄酮,具有强大的抗炎、抗病毒和抗癌特性。其衍生物 8-溴黄芩苷(BB)对 MCF-7 人类乳腺癌细胞具有很强的细胞毒性作用。然而,由于其在水中的溶解度有限,阻碍了其广泛应用的潜力。为了解决这个问题,我们研究了使用环糊精(特别是 βCD、2,6-二-O-甲基-β-环糊精(DMβCD)和羟丙基-β-环糊精(HPβCD))通过包合络合来提高 BB 的溶解度。在 250 ns 的分子动力学模拟中发现,BB 可以与所有 βCD 形成包涵复合物。这些复合物表现出两种不同的取向:铬酮基插入(C-form)和苯基基插入(P-form)。这些复合物的形成主要受范德华相互作用的驱动。DMβCD 与 BB 的原子接触数最多,疏水空腔中的溶剂可及性最低。这些结果与基于 MM/GBSA 自由能计算方法得出的最高结合亲和力相吻合。实验相溶解度图显示 BB 和 βCD 的化学计量比为 1:1(AL 型),其中 BB/DMβCD 的稳定性最高。差示扫描量热法和扫描电子显微镜法证实了包合物的形成。此外,与单独使用 BB 相比,BB/DMβCD 包合物对 MCF-7 人类乳腺癌细胞的抗癌活性明显更高。这些发现强调了 DMβCD 在制药和医疗应用中配制 BB 的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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