Zhang Chun-Yun, Flor Susanne, Ludewig Gabriele, Lehmler Hans-Joachim
Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States.
Environ Sci Technol. 2020 Nov 3;54(21):13817-13827. doi: 10.1021/acs.est.0c02508. Epub 2020 Oct 15.
Cell culture models are used to study the toxicity of polychlorinated biphenyls (PCBs); however, it is typically unknown how much PCB enters the cells and, for chiral PCBs, if the partitioning is atropselective. We investigated the partitioning of racemic PCB 91, PCB 95, PCB 132, and PCB 136 in HepG2 cells following a 72 h incubation. PCBs were present in the cell culture medium (60.7-88.8%), cells (8.0-14.6%), and dishes (2.3-7.8%) and displayed atropisomeric enrichment in the cells (enantiomeric fraction [EF] = 0.55-0.77) and dishes (EF = 0.53-0.68). Polyparameter linear free energy relationships coupled with a composition-based model provided a good estimate of the PCB levels in the cells and cell culture medium. The free concentration was subsequently used to extrapolate from the nominal cell culture concentration to PCB tissue levels and . This approach can be used for extrapolations for all 209 PCB congeners. However, this model (and modified models based on descriptors incorporating atropselective interactions, i.e., relative retention times on chiral columns) did not predict the atropselective partitioning in the cell culture system. Improved chemical descriptors that account for the atropselective binding of PCBs to biological macromolecules are, therefore, needed to predict the atropselective partitioning of PCBs in biological systems.
细胞培养模型用于研究多氯联苯(PCBs)的毒性;然而,通常不清楚有多少PCBs进入细胞,对于手性PCBs而言,也不清楚其分配是否具有对映体选择性。我们研究了外消旋PCB 91、PCB 95、PCB 132和PCB 136在HepG2细胞中孵育72小时后的分配情况。PCBs存在于细胞培养基(60.7 - 88.8%)、细胞(8.0 - 14.6%)和培养皿(2.3 - 7.8%)中,并且在细胞(对映体分数[EF]=0.55 - 0.77)和培养皿(EF = 0.53 - 0.68)中表现出对映体富集。多参数线性自由能关系与基于组成的模型相结合,能够很好地估计细胞和细胞培养基中的PCB水平。随后,自由浓度被用于从名义细胞培养浓度推断PCB组织水平。这种方法可用于所有209种PCB同系物的推断。然而,该模型(以及基于包含对映体选择性相互作用描述符的修改模型,即手性柱上的相对保留时间)并未预测细胞培养系统中的对映体选择性分配。因此,需要改进的化学描述符来解释PCBs与生物大分子的对映体选择性结合,以预测PCBs在生物系统中的对映体选择性分配。