Literature DB >> 25461899

An adverse outcome pathway framework for neural tube and axial defects mediated by modulation of retinoic acid homeostasis.

Elisa C M Tonk1, Jeroen L A Pennings1, Aldert H Piersma2.   

Abstract

Developmental toxicity can be caused through a multitude of mechanisms and can therefore not be captured through a single simple mechanistic paradigm. However, it may be possible to define a selected group of overarching mechanisms that might allow detection of the vast majority of developmental toxicants. Against this background, we have explored the usefulness of retinoic acid mediated regulation of neural tube and axial patterning as a general mechanism that, when perturbed, may result in manifestations of developmental toxicity that may cover a large part of malformations known to occur in experimental animals and in man. Through a literature survey, we have identified key genes in the regulation of retinoic acid homeostasis, as well as marker genes of neural tube and axial patterning, that may be used to detect developmental toxicants in in vitro systems. A retinoic acid-neural tube/axial patterning adverse outcome pathway (RA-NTA AOP) framework was designed. The framework was tested against existing data of flusilazole exposure in the rat whole embryo culture, the zebrafish embryotoxicity test, and the embryonic stem cell test. Flusilazole is known to interact with retinoic acid homeostasis, and induced common and unique NTA marker gene changes in the three test systems. Flusilazole-induced changes were similar in directionality to gene expression responses after retinoic acid exposure. It is suggested that the RA-NTA framework may provide a general tool to define mechanistic pathways and biomarkers of developmental toxicity that may be used in alternative in vitro assays for the detection of embryotoxic compounds.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Axial patterning; Biomarkers; Developmental toxicity; Embryogenesis; Gene expression; Malformations; Neural tube patterning; Retinoic acid

Mesh:

Substances:

Year:  2014        PMID: 25461899     DOI: 10.1016/j.reprotox.2014.10.008

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  8 in total

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2.  miR-222-3p is involved in neural tube closure by directly targeting Ddit4 in RA induced NTDs mouse model.

Authors:  Yuqing Sun; Juan Zhang; Yufei Wang; Lei Wang; Meiyan Song; Ajab Khan; Li Zhang; Bo Niu; Hong Zhao; Meining Li; Tiane Luo; Qiwei He; Xianghui Xie; Zhizhen Liu; Jun Xie
Journal:  Cell Cycle       Date:  2021-11-15       Impact factor: 4.534

3.  AOP Key Event Relationship report: Linking decreased retinoic acid levels with disrupted meiosis in developing oocytes.

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Journal:  Curr Res Toxicol       Date:  2022-03-18

4.  Next Generation Reproductive and Developmental Toxicology: Crosstalk Into the Future.

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Journal:  Front Toxicol       Date:  2021-03-18

Review 5.  Retinoids and developmental neurotoxicity: Utilizing toxicogenomics to enhance adverse outcome pathways and testing strategies.

Authors:  Hao Chen; Megan A Chidboy; Joshua F Robinson
Journal:  Reprod Toxicol       Date:  2020-06-13       Impact factor: 3.143

6.  Developmental Neurotoxicity of Environmentally Relevant Pharmaceuticals and Mixtures Thereof in a Zebrafish Embryo Behavioural Test.

Authors:  Alessandro Atzei; Ingrid Jense; Edwin P Zwart; Jessica Legradi; Bastiaan J Venhuis; Leo T M van der Ven; Harm J Heusinkveld; Ellen V S Hessel
Journal:  Int J Environ Res Public Health       Date:  2021-06-22       Impact factor: 3.390

Review 7.  Regulatory needs and activities to address the retinoid system in the context of endocrine disruption: The European viewpoint.

Authors:  Elise Grignard; Helen Håkansson; Sharon Munn
Journal:  Reprod Toxicol       Date:  2020-03-20       Impact factor: 3.143

8.  Automated Morphological Feature Assessment for Zebrafish Embryo Developmental Toxicity Screens.

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Journal:  Toxicol Sci       Date:  2019-02-01       Impact factor: 4.849

  8 in total

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