采用空气-液界面暴露染毒方式，通过评估摩托车尾气颗粒物对 BEAS-2B 细胞相对活力的影响来评估基准剂量。

Assessment of Benchmark Dose in BEAS-2B Cells by Evaluating the Cell Relative Viability with Particulates in Motorcycle Exhaust the Air-liquid Interface Exposure.

机构信息

National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Tianjin Center for Diseases Prevention and Control, Tianjin 300011, China.

出版信息

Biomed Environ Sci. 2021 Apr 20;34(4):272-281. doi: 10.3967/bes2021.036.

DOI:10.3967/bes2021.036

PMID:33894806

Abstract

OBJECTIVE

This study aimed to use an air-liquid interface (ALI) exposure system to simulate the inhalation exposure of motorcycle exhaust particulates (MEPs) and then investigate the benchmark dose (BMD) of MEPs by evaluating cell relative viability (CRV) in lung epithelial BEAS-2B cells.

METHODS

The MEPs dose was characterized by measuring the number concentration (NC), surface area concentration (SAC), and mass concentration (MC). BEAS-2B cells were exposed to MEPs at different concentrations ALI and CRV was determined using Cell Counting Kit (CCK-8) assay. BMD software was applied to calculate BMD and the lower limit of benchmark dose (BMDL) according to Akaike Information Coefficient (AIC), with -value based on Hill, Linear, Polynomial, and Power model.

RESULTS

Our results reveal that BMD of NC and SAC were estimated by the best-fitting Hill model, while MC was estimated by Polynomial model. The BMDL for CRV following ALI exposure to MEPs were as follows: 364.2#/cm for NC; 0.662 × 10 nm /cm for SAC; and 0.278 μg/m for MC.

CONCLUSION

These results indicate that MEPs exposure ALI system induces a dose-dependent decrease of CRV and provides the potential exposure threshold of MEPs in a lung cell model.

摘要

目的

本研究旨在使用气液界面（ALI）暴露系统模拟摩托车排气颗粒物（MEPs）的吸入暴露，然后通过评估肺上皮 BEAS-2B 细胞的细胞相对活力（CRV）来评估 MEPs 的基准剂量（BMD）。

方法

通过测量数浓度（NC）、表面积浓度（SAC）和质量浓度（MC）来表征 MEPs 剂量。BEAS-2B 细胞在不同浓度的 MEPs 下进行 ALI 暴露，并用细胞计数试剂盒（CCK-8）测定 CRV。根据赤池信息量准则（AIC），应用 BMD 软件计算 BMD 和基准剂量下限（BMDL），-值基于 Hill、线性、多项式和幂模型。