Suppr超能文献

个体间毒死蜱毒代动力学的差异特征,采用生理基础动力学 (PBK) 和蒙特卡罗模拟,将人肝微粒体和 Supersome 细胞色素 P450 (CYP) 特异性动力学数据作为模型输入进行比较。

Inter-individual variation in chlorpyrifos toxicokinetics characterized by physiologically based kinetic (PBK) and Monte Carlo simulation comparing human liver microsome and Supersome cytochromes P450 (CYP)-specific kinetic data as model input.

机构信息

Division of Toxicology, Wageningen University and Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.

Van Hall Larenstein University of Applied Sciences, 8901 BV, Leeuwarden, The Netherlands.

出版信息

Arch Toxicol. 2022 May;96(5):1387-1409. doi: 10.1007/s00204-022-03251-z. Epub 2022 Mar 16.

Abstract

The present study compares two approaches to evaluate the effects of inter-individual differences in the biotransformation of chlorpyrifos (CPF) on the sensitivity towards in vivo red blood cell (RBC) acetylcholinesterase (AChE) inhibition and to calculate a chemical-specific adjustment factor (CSAF) to account for inter-individual differences in kinetics (HK). These approaches included use of a Supersome cytochromes P450 (CYP)-based and a human liver microsome (HLM)-based physiologically based kinetic (PBK) model, both combined with Monte Carlo simulations. The results revealed that bioactivation of CPF exhibits biphasic kinetics caused by distinct differences in the Km of CYPs involved, which was elucidated by Supersome CYP rather than by HLM. Use of Supersome CYP-derived kinetic data was influenced by the accuracy of the intersystem extrapolation factors (ISEFs) required to scale CYP isoform activity of Supersome to HLMs. The predicted dose-response curves for average, 99th percentile and 1st percentile sensitive individuals were found to be similar in the two approaches when biphasic kinetics was included in the HLM-based approach, resulting in similar benchmark dose lower confidence limits for 10% inhibition (BMDL) and HK values. The variation in metabolism-related kinetic parameters resulted in HK values at the 99th percentile that were slightly higher than the default uncertainty factor of 3.16. While HK values up to 6.9 were obtained when including also the variability in other influential PBK model parameters. It is concluded that the Supersome CYP-based approach appeared most adequate for identifying inter-individual variation in biotransformation of CPF and its resulting RBC AChE inhibition.

摘要

本研究比较了两种方法,以评估个体间生物转化氯吡硫磷(CPF)的差异对体内红细胞乙酰胆碱酯酶(AChE)抑制敏感性的影响,并计算出一种化学特异性调整因子(CSAF),以解释动力学(HK)方面的个体间差异。这两种方法包括使用 Supersome 细胞色素 P450(CYP)和人肝微粒体(HLM)为基础的生理相关动力学(PBK)模型,两者均结合蒙特卡罗模拟。结果表明,CPF 的生物活化呈现出双相动力学,这是由于参与的 CYP 的 Km 存在明显差异所致,这一现象由 Supersome CYP 而非 HLM 揭示。使用 Supersome CYP 衍生的动力学数据受到将 Supersome CYP 同工型活性外推至 HLM 所需的系统间外推因子(ISEF)的准确性影响。当在 HLM 为基础的方法中包含双相动力学时,两种方法预测的平均、99 百分位和 1 百分位敏感个体的剂量反应曲线相似,导致 10%抑制(BMDL)和 HK 值的相似基准剂量置信下限。代谢相关动力学参数的变化导致 HK 值在 99 百分位时略高于默认的不确定性系数 3.16。当包括其他有影响力的 PBK 模型参数的变异性时,HK 值高达 6.9。结论是,基于 Supersome CYP 的方法似乎最适合识别 CPF 生物转化及其导致的 RBC AChE 抑制的个体间差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9013686/74e9632b6cd3/204_2022_3251_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验