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CTD 诱导表型有助于了解疾病前状态并构建不良结局途径。

Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.

机构信息

Department of Biological Sciences.

Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695.

出版信息

Toxicol Sci. 2018 Sep 1;165(1):145-156. doi: 10.1093/toxsci/kfy131.

Abstract

The Comparative Toxicogenomics Database (CTD; http://ctdbase.org) is a public resource that manually curates the scientific literature to provide content that illuminates the molecular mechanisms by which environmental exposures affect human health. We introduce our new chemical-phenotype module that describes how chemicals can affect molecular, cellular, and physiological phenotypes. At CTD, we operationally distinguish between phenotypes and diseases, wherein a phenotype refers to a nondisease biological event: eg, decreased cell cycle arrest (phenotype) versus liver cancer (disease), increased fat cell proliferation (phenotype) versus morbid obesity (disease), etc. Chemical-phenotype interactions are expressed in a formal structured notation using controlled terms for chemicals, phenotypes, taxon, and anatomical descriptors. Combining this information with CTD's chemical-disease module allows inferences to be made between phenotypes and diseases, yielding potential insight into the predisease state. Integration of all 4 CTD modules furnishes unique opportunities for toxicologists to generate computationally predictive adverse outcome pathways, linking chemical-gene molecular initiating events with phenotypic key events, adverse diseases, and population-level health outcomes. As examples, we present 3 diverse case studies discerning the effect of vehicle emissions on altered leukocyte migration, the role of cadmium in influencing phenotypes preceding Alzheimer disease, and the connection of arsenic-induced glucose metabolic phenotypes with diabetes. To date, CTD contains over 165 000 interactions that connect more than 6400 chemicals to 3900 phenotypes for 760 anatomical terms in 215 species, from over 19 000 scientific articles. To our knowledge, this is the first comprehensive set of manually curated, literature-based, contextualized, chemical-induced, nondisease phenotype data provided to the public.

摘要

比较毒理学基因组学数据库(CTD;http://ctdbase.org)是一个公共资源,它人工整理科学文献,提供内容,阐明环境暴露如何影响人类健康的分子机制。我们引入了新的化学-表型模块,描述了化学物质如何影响分子、细胞和生理表型。在 CTD,我们在操作上区分表型和疾病,其中表型是指非疾病的生物学事件:例如,细胞周期阻滞减少(表型)与肝癌(疾病),脂肪细胞增殖增加(表型)与病态肥胖(疾病)等。化学-表型相互作用用化学物质、表型、分类群和解剖描述符的受控术语来表达形式化的结构化符号。将这些信息与 CTD 的化学-疾病模块结合使用,可以在表型和疾病之间进行推断,从而深入了解疾病前状态。整合所有 4 个 CTD 模块为毒理学家提供了独特的机会,生成计算预测的不良结果途径,将化学-基因分子起始事件与表型关键事件、不良疾病和人群健康结果联系起来。作为示例,我们展示了 3 个不同的案例研究,辨别了车辆排放物对白细胞迁移改变的影响、镉在影响阿尔茨海默病前表型中的作用以及砷诱导的葡萄糖代谢表型与糖尿病的联系。迄今为止,CTD 包含超过 165000 个相互作用,将超过 6400 种化学物质与 760 个解剖学术语的 3900 种表型连接起来,涉及 215 个物种,来自 19000 多篇科学文章。据我们所知,这是首次向公众提供的全面的、基于文献的、上下文相关的、化学诱导的、非疾病表型数据。

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