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迈向纳米特异性计算机虚拟毒理学模型:如何使纳米定量构效关系适应纳米毒理学的最新进展?

Toward Nano-Specific In Silico NAMs: How to Adjust Nano-QSAR to the Recent Advancements of Nanotoxicology?

作者信息

Ciura Krzesimir, Moschini Elisa, Stępnik Maciej, Serchi Tommaso, Gutleb Arno, Jarzyńska Kamila, Jagiello Karolina, Puzyn Tomasz

机构信息

Department of Physical Chemistry, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk, 80-416, Poland.

QSAR Lab Ltd., Trzy Lipy 3 St., Gdańsk, 80-172, Poland.

出版信息

Small. 2024 Feb;20(6):e2305581. doi: 10.1002/smll.202305581. Epub 2023 Sep 29.

DOI:10.1002/smll.202305581
PMID:37775952
Abstract

The rapid development of engineered nanomaterials (ENMs) causes humans to become increasingly exposed to them. Therefore, a better understanding of the health impact of ENMs is highly demanded. Considering the 3Rs (Replacement, Reduction, and Refinement) principle, in vitro and computational methods are excellent alternatives for testing on animals. Among computational methods, nano-quantitative structure-activity relationship (nano-QSAR), which links the physicochemical and structural properties of EMNs with biological activities, is one of the leading method. The nature of toxicological experiments has evolved over the last decades; currently, one experiment can provide thousands of measurements of the organism's functioning at the molecular level. At the same time, the capacity of the in vitro systems to mimic the human organism is also improving significantly. Hence, the authors would like to discuss whether the nano-QSAR approach follows modern toxicological studies and takes full advantage of the opportunities offered by modern toxicological platforms. Challenges and possibilities for improving data integration are underlined narratively, including the need for a consensus built between the in vitro and the QSAR domains.

摘要

工程纳米材料(ENMs)的快速发展使人类越来越多地接触到它们。因此,人们迫切需要更好地了解ENMs对健康的影响。考虑到3R(替代、减少和优化)原则,体外和计算方法是动物实验的绝佳替代方案。在计算方法中,纳米定量构效关系(nano-QSAR)将ENMs的物理化学和结构特性与生物活性联系起来,是主要方法之一。过去几十年来,毒理学实验的性质不断演变;目前,一项实验可以提供数千次对生物体分子水平功能的测量。与此同时,体外系统模拟人体的能力也在显著提高。因此,作者们希望讨论nano-QSAR方法是否符合现代毒理学研究,并充分利用现代毒理学平台提供的机会。文中阐述了改进数据整合的挑战和可能性,包括体外和QSAR领域之间达成共识的必要性。

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