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Toxicogenomics in the Pharmaceutical industry: Differential Gene Expression as it Relates to Histopathological Tissue Alterations in Toxicology Studies

机译:制药业中的毒源组合:差异基因表达,因为它涉及毒理学研究中的组织病理学组织改变

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Assessing the toxic potential of xenobiotics in the pharmaceutical industry has historically been a very costly and labor intensive process. The toxicological liabilities of new chemical entities declared for development may not be fully realized until the compound is well into the development process. The conventional approach for new drug development in toxicology includes mutagenic and toxicokinetic toxicity testing, range-finding and subchronic studies, as well as two 2-year carcinogenicity bioassays in two rodent species (rat and mouse) for drugs with chronic indications. The failure rate of drug candidates due to adverse events in toxicology animal studies is high, and the later in the development phase of a compound that these events are discovered, the more costly. New scientific fields and technologies are emerging that will hopefully provide information to characterize and/or predict drug toxicity earlier. Traditional toxicology relies primarily on animal histopathology and clinical pathology data to characterize the toxicity of a chemical. These traditional endpoints often do not provide much information regarding mechanisms of toxicity. Additionally, they provide limited predictive value in assessing human risk in clinical trials.
机译:评估制药业在制药行业的毒性潜力历史上是一个非常昂贵和劳动密集型的过程。在该化合物进入开发过程中,可能无法充分实现新化学实体的毒理学责任。毒理学新药发育的常规方法包括致突变性和毒性毒性检测,范围 - 发现和次级研究,以及两种啮齿动物物种(大鼠和小鼠)的两年致癌性生物测量,用于慢性适应症。由于毒理学动物研究的不良事件导致的药物候选者的失败率很高,并且在这些事件被发现的化合物的发展阶段之后,更昂贵。新的科学领域和技术正在出现,希望提前提供信息和/或预测药物毒性的信息。传统毒理学主要依赖于动物组织病理学和临床病理数据,以表征化学品的毒性。这些传统的终点通常不提供关于毒性机制的许多信息。此外,它们为评估临床试验中的人类风险提供有限的预测值。

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