Center for Computational Toxicology and Exposure (CCTE), Biomolecular and Computational Toxicology Division (BCTD), Computational Toxicology and Bioinformatics Branch (CTBB), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park, NC, 27711, United States.
Leidos, Contractor to CCTE, Research Triangle Park, NC, 27711, United States.
Reprod Toxicol. 2021 Jan;99:109-130. doi: 10.1016/j.reprotox.2020.10.014. Epub 2020 Nov 14.
All-trans retinoic acid (ATRA), the biologically active form of vitamin A, is instrumental in regulating the patterning and specification of the vertebrate embryo. Various animal models demonstrate adverse developmental phenotypes following experimental retinoid depletion or excess during pregnancy. Windows of vulnerability for altered skeletal patterning coincide with early specification of the body plan (gastrulation) and regional specification of precursor cell populations forming the facial skeleton (cranial neural crest), vertebral column (somites), and limbs (lateral plate mesoderm) during organogenesis. A common theme in physiological roles of ATRA signaling is mutual antagonism with FGF signaling. Consequences of genetic errors or environmental disruption of retinoid signaling include stage- and region-specific homeotic transformations to severe deficiencies for various skeletal elements. This review derives from an annex in Detailed Review Paper (DRP) of the OECD Test Guidelines Programme (Project 4.97) to support recommendations regarding assay development for the retinoid system and the use of resulting data in a regulatory context for developmental and reproductive toxicity (DART) testing.
全反式视黄酸(ATRA)是维生素 A 的生物活性形式,在调节脊椎动物胚胎的模式形成和特化中起着重要作用。各种动物模型表明,在怀孕期间进行实验性视黄酸耗竭或过量会导致不良的发育表型。骨骼模式改变的脆弱窗口与身体计划的早期特化(原肠胚形成)以及形成面部骨骼(颅神经嵴)、脊柱(体节)和肢体(侧板中胚层)的前体细胞群的区域特化相吻合器官发生。ATRA 信号转导的生理作用的一个共同主题是与 FGF 信号转导的相互拮抗。视黄酸信号转导的遗传错误或环境破坏的后果包括各种骨骼元素的阶段和区域特异性同源转化,严重缺乏。这篇综述源自 OECD 测试指南计划(项目 4.97)详细审查报告(DRP)中的附件,以支持关于建立视黄酸系统检测方法的建议,并在发育和生殖毒性(DART)测试的监管背景下使用由此产生的数据。