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推导用于体外测试的蛋白结合校正化学浓度。

Deriving protein binding-corrected chemical concentrations for in vitro testing.

机构信息

PMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.

出版信息

Clin Transl Sci. 2023 Nov;16(11):2123-2129. doi: 10.1111/cts.13616. Epub 2023 Aug 28.

Abstract

Extracellular chemical concentrations are considered physiologically relevant for in vitro testing and are evaluated in traditional in vitro systems using cell culture media containing 5%-10% fetal bovine serum (FBS). However, depending on the physicochemical properties, and in vitro testing conditions, cells could be exposed to variable unbound extracellular concentrations. If in vitro unbound concentrations are not calculated, it is challenging to distinguish the chemical potency and concentration-driven responses. In this study, one- and two-protein binding models were used to estimate protein binding corrected chemical concentrations of various chemicals for in vitro testing. As ceftizoxime, moxifloxacin, and nicotine have low protein binding affinity, the in vitro protein binding in 5%-10% FBS is less than 5% and can be considered negligible. However, protein binding of moderate and highly protein-bound chemicals must be corrected for as the in vitro unbound concentrations in 5%-10% FBS containing cell culture media will vary over a range of chemical concentrations. In vitro pharmacological and toxicological assessments must incorporate protein binding-adjusted in vitro concentrations to ensure physiologically relevant exposures. A user-friendly Excel spreadsheet is provided to help bench scientists calculate protein binding-corrected chemical concentrations for in vitro testing.

摘要

细胞外化学浓度被认为与体外测试相关,并且在传统的体外系统中使用含有 5%-10%胎牛血清(FBS)的细胞培养基进行评估。然而,取决于理化性质和体外测试条件,细胞可能会暴露于不同的未结合的细胞外浓度中。如果不计算体外未结合浓度,则难以区分化学效力和浓度驱动的反应。在这项研究中,使用单蛋白和双蛋白结合模型来估计各种化学物质的体外测试用蛋白结合校正化学浓度。由于头孢唑肟、莫西沙星和尼古丁的蛋白结合亲和力较低,在 5%-10% FBS 中的体外蛋白结合小于 5%,可以忽略不计。然而,必须对中等和高度蛋白结合化学物质的蛋白结合进行校正,因为在含有细胞培养基的 5%-10% FBS 中,体外未结合浓度将在一定范围内的化学浓度范围内发生变化。体外药理学和毒理学评估必须结合蛋白结合调整的体外浓度,以确保生理相关的暴露。提供了一个用户友好的 Excel 电子表格,帮助实验室科学家计算体外测试用的蛋白结合校正化学浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c445/10651662/99711a2a9830/CTS-16-2123-g002.jpg

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