Kavlock R J, Greene J A, Kimmel G L, Morrissey R E, Owens E, Rogers J M, Sadler T W, Stack H F, Waters M D, Welsch F
US Environmental Protection Agency, Research Triangle Park, North Carolina.
Teratology. 1991 Feb;43(2):159-85. doi: 10.1002/tera.1420430208.
The available literature was searched for quantitative test results from both in vitro and in vivo assays for developmental toxicity for five model compounds: cyclophosphamide, methotrexate, hydroxyurea, caffeine, and ethylenethiourea. These compounds were chosen on the basis of their extensive utilization in a variety of assay systems for developmental toxicity as evidenced by their representation in the ETIC database (each generally has 100-500 citations encompassing multiple test systems). Nine cellular-based assays, six assays using whole embryos in culture, as well as Segment II and abbreviated exposure tests for mammalian test species are included in the database. For each assay, the critical endpoints were identified, each of which was then provided a three-letter code, and the criteria for extraction of quantitative information were established. The extracted information was placed into a computerized reference file and subsequently plotted such that the qualitative (positive/negative) and quantitative (e.g., IC50, highest ineffective dose (HID), lowest effective dose (LED] results across all test systems could be displayed. The information contained in these profiles can be used to compare qualitative and quantitative results across multiple assay systems, to identify data gaps in the literature, to evaluate the concordance of the assays, to calculate relative potencies, and to examine structure-activity relationships.
我们检索了现有文献,以获取五种模型化合物(环磷酰胺、甲氨蝶呤、羟基脲、咖啡因和乙撑硫脲)发育毒性的体外和体内试验的定量测试结果。选择这些化合物是基于它们在各种发育毒性试验系统中的广泛应用,这在ETIC数据库中有体现(每种化合物通常有100 - 500条涵盖多个测试系统的引用)。该数据库包括九种基于细胞的试验、六种使用培养中的全胚胎的试验,以及哺乳动物试验物种的第二阶段试验和简略暴露试验。对于每种试验,确定了关键终点,每个关键终点都被赋予一个三个字母的代码,并建立了提取定量信息的标准。提取的信息被放入一个计算机化的参考文件中,随后进行绘图,以便能够展示所有测试系统的定性(阳性/阴性)和定量(例如IC50、最高无效剂量(HID)、最低有效剂量(LED))结果。这些概况中包含的信息可用于比较多个试验系统的定性和定量结果、识别文献中的数据空白、评估试验的一致性、计算相对效力以及研究构效关系。