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载金属卟啉介孔四苯卟啉聚合物纳米粒的优化、表征及药代动力学研究。

Optimization, Characterization and Pharmacokinetic Study of Meso-Tetraphenylporphyrin Metal Complex-Loaded PLGA Nanoparticles.

机构信息

N.M. Emanuel Institute of Biochemical Physics of Russian Academy of Sciences, 119991 Moscow, Russia.

JSC Russian Research Center for Molecular Diagnostics and Therapy, 117149 Moscow, Russia.

出版信息

Int J Mol Sci. 2021 Nov 12;22(22):12261. doi: 10.3390/ijms222212261.

Abstract

The selection of technological parameters for nanoparticle formulation represents a complicated development phase. Therefore, the statistical analysis based on Box-Behnken methodology is widely used to optimize technological processes, including poly(lactic-co-glycolic acid) nanoparticle formulation. In this study, we applied a two-level three-factor design to optimize the preparation of nanoparticles loaded with cobalt (CoTPP), manganese (MnClTPP), and nickel (NiTPP) metalloporphyrins (MeP). The resulting nanoparticles were examined by dynamic light scattering, X-ray diffraction, Fourier transform infrared spectroscopy, MTT test, and hemolytic activity assay. The optimized model of nanoparticle formulation was validated, and the obtained nanoparticles possessed a spherical shape and physicochemical characteristics enabling them to deliver MeP in cancer cells. In vitro hemolysis assay revealed high safety of the formulated MeP-loaded nanoparticles. The MeP release demonstrated a biphasic profile and release mechanism via Fick diffusion, according to release exponent values. Formulated MeP-loaded nanoparticles revealed significant antitumor activity and ability to generate reactive oxygen species. MnClTPP- and CoTPP-nanoparticles specifically accumulated in tissues, preventing wide tissue distribution caused by long-term circulation of the hydrophobic drug. Our results suggest that MnClTPP- and CoTPP-nanoparticles represent the greatest potential for utilization in in anticancer therapy due to their effectiveness and safety.

摘要

纳米粒子制剂的技术参数选择代表了一个复杂的开发阶段。因此,基于 Box-Behnken 方法学的统计分析被广泛用于优化工艺过程,包括聚(乳酸-共-乙醇酸)纳米粒子制剂。在这项研究中,我们应用了两水平三因子设计来优化负载钴(CoTPP)、锰(MnClTPP)和镍(NiTPP)金属卟啉(MeP)的纳米粒子的制备。通过动态光散射、X 射线衍射、傅里叶变换红外光谱、MTT 试验和溶血活性测定来检查所得纳米粒子。对纳米粒子制剂的优化模型进行了验证,所得纳米粒子具有球形形状和理化特性,使其能够在癌细胞中递送 MeP。体外溶血试验表明,所制备的 MeP 负载纳米粒子具有很高的安全性。根据释放指数值,MeP 的释放表现出两相曲线和 Fick 扩散释放机制。负载 MeP 的纳米粒子表现出显著的抗肿瘤活性和生成活性氧的能力。MnClTPP-和 CoTPP-纳米粒子特别在组织中积累,防止了疏水性药物长期循环引起的广泛组织分布。我们的结果表明,由于 MnClTPP-和 CoTPP-纳米粒子的有效性和安全性,它们在抗癌治疗中具有最大的应用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94be/8618356/eb6e21e6332f/ijms-22-12261-g001.jpg

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