Paul Friedman Katie, Watt Eric D, Hornung Michael W, Hedge Joan M, Judson Richard S, Crofton Kevin M, Houck Keith A, Simmons Steven O
*Oak Ridge Institute for Science Education Postdoctoral Fellow, Oak Ridge, TN, 37831 Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711
*Oak Ridge Institute for Science Education Postdoctoral Fellow, Oak Ridge, TN, 37831 National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711.
Toxicol Sci. 2016 May;151(1):160-80. doi: 10.1093/toxsci/kfw034. Epub 2016 Feb 15.
High-throughput screening for potential thyroid-disrupting chemicals requires a system of assays to capture multiple molecular-initiating events (MIEs) that converge on perturbed thyroid hormone (TH) homeostasis. Screening for MIEs specific to TH-disrupting pathways is limited in the U.S. Environmental Protection Agency ToxCast screening assay portfolio. To fill 1 critical screening gap, the Amplex UltraRed-thyroperoxidase (AUR-TPO) assay was developed to identify chemicals that inhibit TPO, as decreased TPO activity reduces TH synthesis. The ToxCast phase I and II chemical libraries, comprised of 1074 unique chemicals, were initially screened using a single, high concentration to identify potential TPO inhibitors. Chemicals positive in the single-concentration screen were retested in concentration-response. Due to high false-positive rates typically observed with loss-of-signal assays such as AUR-TPO, we also employed 2 additional assays in parallel to identify possible sources of nonspecific assay signal loss, enabling stratification of roughly 300 putative TPO inhibitors based upon selective AUR-TPO activity. A cell-free luciferase inhibition assay was used to identify nonspecific enzyme inhibition among the putative TPO inhibitors, and a cytotoxicity assay using a human cell line was used to estimate the cellular tolerance limit. Additionally, the TPO inhibition activities of 150 chemicals were compared between the AUR-TPO and an orthogonal peroxidase oxidation assay using guaiacol as a substrate to confirm the activity profiles of putative TPO inhibitors. This effort represents the most extensive TPO inhibition screening campaign to date and illustrates a tiered screening approach that focuses resources, maximizes assay throughput, and reduces animal use.
高通量筛选潜在的甲状腺干扰化学物质需要一套检测系统,以捕捉多个汇聚于甲状腺激素(TH)内稳态紊乱的分子起始事件(MIE)。在美国环境保护局的ToxCast筛选检测组合中,针对TH干扰途径特异性的MIE筛选有限。为填补这一关键的筛选空白,开发了Amplex UltraRed - 甲状腺过氧化物酶(AUR - TPO)检测法,以识别抑制TPO的化学物质,因为TPO活性降低会减少TH合成。最初使用单一高浓度对由1074种独特化学物质组成的ToxCast I期和II期化学文库进行筛选,以识别潜在的TPO抑制剂。在单浓度筛选中呈阳性的化学物质进行浓度响应复测。由于在诸如AUR - TPO这种信号缺失检测中通常观察到高假阳性率,我们还并行采用了另外两种检测方法,以识别非特异性检测信号缺失的可能来源,从而基于选择性AUR - TPO活性对大约300种假定的TPO抑制剂进行分层。使用无细胞荧光素酶抑制检测来识别假定的TPO抑制剂中的非特异性酶抑制,使用人细胞系的细胞毒性检测来估计细胞耐受极限。此外,比较了150种化学物质在AUR - TPO和以愈创木酚为底物的正交过氧化物酶氧化检测之间的TPO抑制活性,以确认假定的TPO抑制剂的活性谱。这项工作代表了迄今为止最广泛的TPO抑制筛选活动,并展示了一种分层筛选方法,该方法集中资源、最大化检测通量并减少动物使用。