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纳米颗粒pH依赖性暴露的医学博士研究如何影响抗癌药物的细胞摄取?

How Does the Study MD of pH-Dependent Exposure of Nanoparticles Affect Cellular Uptake of Anticancer Drugs?

作者信息

Sengottiyan Selvaraj, Mikolajczyk Alicja, Puzyn Tomasz

机构信息

Laboratory of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308 Gdansk, Poland.

出版信息

Int J Mol Sci. 2023 Feb 9;24(4):3479. doi: 10.3390/ijms24043479.

Abstract

The lack of knowledge about the uptake of NPs by biological cells poses a significant problem for drug delivery. For this reason, designing an appropriate model is the main challenge for modelers. To address this problem, molecular modeling studies that can describe the mechanism of cellular uptake of drug-loaded nanoparticles have been conducted in recent decades. In this context, we developed three different models for the amphipathic nature of drug-loaded nanoparticles (MTX-SS-γ-PGA), whose cellular uptake mechanism was predicted by molecular dynamics studies. Many factors affect nanoparticle uptake, including nanoparticle physicochemical properties, protein-particle interactions, and subsequent agglomeration, diffusion, and sedimentation. Therefore, the scientific community needs to understand how these factors can be controlled and the NP uptake of nanoparticles. Based on these considerations, in this study, we investigated for the first time the effects of the selected physicochemical properties of the anticancer drug methotrexate (MTX) grafted with hydrophilic-γ-polyglutamic acid (MTX-SS-γ-PGA) on its cellular uptake at different pH values. To answer this question, we developed three theoretical models describing drug-loaded nanoparticles (MTX-SS-γ-PGA) at three different pH values, such as (1) pH 7.0 (the so-called neutral pH model), (2) pH 6.4 (the so-called tumor pH model), and (3) pH 2.0 (the so-called stomach pH model). Exceptionally, the electron density profile shows that the tumor model interacts more strongly with the head groups of the lipid bilayer than the other models due to charge fluctuations. Hydrogen bonding and RDF analyses provide information about the solution of the NPs with water and their interaction with the lipid bilayer. Finally, dipole moment and HOMO-LUMO analysis showed the free energy of the solution in the water phase and chemical reactivity, which are particularly useful for determining the cellular uptake of the NPs. The proposed study provides fundamental insights into molecular dynamics (MD) that will allow researchers to determine the influence of pH, structure, charge, and energetics of NPs on the cellular uptake of anticancer drugs. We believe that our current study will be useful in developing a new model for drug delivery to cancer cells with a much more efficient and less time-consuming model.

摘要

对生物细胞摄取纳米颗粒的知识匮乏给药物递送带来了重大问题。因此,设计合适的模型是建模者面临的主要挑战。为解决这一问题,近几十年来开展了能够描述载药纳米颗粒细胞摄取机制的分子建模研究。在此背景下,我们针对载药纳米颗粒(MTX-SS-γ-PGA)的两亲性质开发了三种不同模型,其细胞摄取机制通过分子动力学研究进行了预测。许多因素会影响纳米颗粒的摄取,包括纳米颗粒的物理化学性质、蛋白质-颗粒相互作用以及随后的团聚、扩散和沉降。因此,科学界需要了解如何控制这些因素以及纳米颗粒的纳米颗粒摄取情况。基于这些考虑,在本研究中,我们首次研究了接枝亲水性γ-聚谷氨酸的抗癌药物甲氨蝶呤(MTX-SS-γ-PGA)的选定物理化学性质在不同pH值下对其细胞摄取的影响。为回答这个问题,我们开发了三种理论模型来描述在三种不同pH值下的载药纳米颗粒(MTX-SS-γ-PGA),例如(1)pH 7.0(所谓的中性pH模型)、(2)pH 6.4(所谓的肿瘤pH模型)和(3)pH 2.0(所谓的胃pH模型)。特别地,电子密度分布图表明,由于电荷波动,肿瘤模型与脂质双层的头部基团相互作用比其他模型更强。氢键和径向分布函数分析提供了有关纳米颗粒在水中的溶解情况及其与脂质双层相互作用的信息。最后,偶极矩和最高占据分子轨道-最低未占据分子轨道分析显示了水相溶液的自由能和化学反应性,这对于确定纳米颗粒的细胞摄取特别有用。所提出的研究为分子动力学(MD)提供了基本见解,这将使研究人员能够确定纳米颗粒的pH值、结构、电荷和能量对抗癌药物细胞摄取的影响。我们相信我们目前的研究将有助于开发一种用于向癌细胞递送药物的新模型,该模型效率更高且耗时更少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62b8/9958846/6cf6e63dde0f/ijms-24-03479-g001.jpg

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