Wetmore Barbara A, Allen Brittany, Clewell Harvey J, Parker Timothy, Wambaugh John F, Almond Lisa M, Sochaski Mark A, Thomas Russell S
The Hamner Institutes for Health Sciences, Research Triangle Park, North Carolina 27709-2137
The Hamner Institutes for Health Sciences, Research Triangle Park, North Carolina 27709-2137.
Toxicol Sci. 2014 Nov;142(1):210-24. doi: 10.1093/toxsci/kfu169. Epub 2014 Aug 21.
Momentum is growing worldwide to use in vitro high-throughput screening (HTS) to evaluate human health effects of chemicals. However, the integration of dosimetry into HTS assays and incorporation of population variability will be essential before its application in a risk assessment context. Previously, we employed in vitro hepatic metabolic clearance and plasma protein binding data with in vitro in vivo extrapolation (IVIVE) modeling to estimate oral equivalent doses, or daily oral chemical doses required to achieve steady-state blood concentrations (Css) equivalent to media concentrations having a defined effect in an in vitro HTS assay. In this study, hepatic clearance rates of selected ToxCast chemicals were measured in vitro for 13 cytochrome P450 and five uridine 5'-diphospho-glucuronysyltransferase isozymes using recombinantly expressed enzymes. The isozyme-specific clearance rates were then incorporated into an IVIVE model that captures known differences in isozyme expression across several life stages and ethnic populations. Comparison of the median Css for a healthy population against the median or the upper 95th percentile for more sensitive populations revealed differences of 1.3- to 4.3-fold or 3.1- to 13.1-fold, respectively. Such values may be used to derive chemical-specific human toxicokinetic adjustment factors. The IVIVE model was also used to estimate subpopulation-specific oral equivalent doses that were directly compared with subpopulation-specific exposure estimates. This study successfully combines isozyme and physiologic differences to quantitate subpopulation pharmacokinetic variability. Incorporation of these values with dosimetry and in vitro bioactivities provides a viable approach that could be employed within a high-throughput risk assessment framework.
在全球范围内,使用体外高通量筛选(HTS)来评估化学物质对人类健康影响的势头正在增强。然而,在将其应用于风险评估之前,将剂量测定法整合到HTS分析中并纳入人群变异性至关重要。此前,我们利用体外肝脏代谢清除率和血浆蛋白结合数据以及体外-体内外推(IVIVE)模型来估计口服等效剂量,即达到与体外HTS分析中具有特定效应的培养基浓度相当的稳态血药浓度(Css)所需的每日口服化学剂量。在本研究中,使用重组表达的酶,在体外测量了13种细胞色素P450和5种尿苷5'-二磷酸葡萄糖醛酸转移酶同工酶对选定的ToxCast化学物质的肝脏清除率。然后将同工酶特异性清除率纳入一个IVIVE模型,该模型捕捉了不同生命阶段和种族人群中同工酶表达的已知差异。将健康人群的Css中位数与更敏感人群的中位数或第95百分位数上限进行比较,发现差异分别为1.3至4.3倍或3.1至13.1倍。这些值可用于推导化学物质特异性的人体毒代动力学调整因子。IVIVE模型还用于估计亚人群特异性口服等效剂量,并将其直接与亚人群特异性暴露估计值进行比较。本研究成功地结合了同工酶和生理差异,以量化亚人群的药代动力学变异性。将这些值与剂量测定法和体外生物活性相结合,提供了一种可行的方法,可用于高通量风险评估框架内。