紫杉醇和 myricetin 包裹的血红蛋白纳米颗粒:特性和应用。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ishaleena Chowdhury, Goutam Pramanik, Aparna Dutta, Debashis Majumder, Chabita Saha
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引用次数: 0

摘要

Hb 可用作载体蛋白,包裹疏水性药物 PTX 和 MYN,在癌症治疗中具有应用价值。本研究采用酸变性法合成了包裹 PTX 和 MYN 的 Hb NPs,并通过光谱和电子显微镜技术对其进行了表征。计算得出的 Hb 和 PTX 的结合常数为 3.83 x 108 M-1,是两种药物在测试的 pH 值范围内最高的。CD 光谱还显示,在 pH 值为 5.0 时,Hb 的变性程度最大,这证明 Hb 的疏水核心打开了。pH 值为 5.0 的酸性条件是合成药物包裹 NPs 的最佳条件。与 Hb-MYN 相比,Hb PTX NPs 的傅立叶变换红外光谱记录到 OH/羧基峰有更高的偏移。Hb-PTX NPs 的扫描电镜图像突出显示了 NPs 的四面体结构,而 Hb-MYN NPs 则呈圆形。经 DLS 测量,Hb-MYN 和 Hb-PTX 的尺寸分别约为 38.0 纳米和 44.0 纳米。与 MYN-Hb 相比,PTX-Hb NPs 对 K562 细胞具有更高的剂量依赖性凋亡诱导效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Paclitaxel and myricetin encapsulated hemoglobin nanoparticles: characterization and application.

Hb is used as a carrier protein to encapsulate hydrophobic drugs PTX and MYN and has applications in cancer treatment. PTX and MYN encapsulated Hb NPs are synthesized by the acid denature method and are characterized by spectroscopic and electron microscopic techniques. The binding constant calculated for Hb and PTX is 3.83 x 108 M-1, which is the highest in the pH range tested for both drugs. The CD spectra also demonstrated maximum denaturation of Hb at pH 5.0 evidencing the opening of the Hb hydrophobic core. The acidic condition at pH 5.0 is optimized for the synthesis of drug- encapsulated NPs. FTIR spectra of Hb PTX NPs recorded higher shifts in the OH/carboxyl peak compared to Hb-MYN. SEM images of Hb-PTX NPs highlight the tetrahedral structure of the NPs and the round shape of Hb-MYN NPs. The size of Hb-MYN and Hb-PTX is around 38.0 and 44.0 nm respectively as measured by DLS. PTX-Hb NPs demonstrated higher dose-dependent apoptosis-inducing efficacy than MYN-Hb in the K562 cells.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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