Literature DB >> 23796950

Meta-analysis of toxicity and teratogenicity of 133 chemicals from zebrafish developmental toxicity studies.

Nicole A Ducharme1, Leif E Peterson, Emilio Benfenati, David Reif, Catherine W McCollum, Jan-Åke Gustafsson, Maria Bondesson.   

Abstract

Zebrafish developmental toxicity testing is an emerging field, which faces considerable challenges regarding data meta-analysis and the establishment of standardized test protocols. Here, we present an initial correlation study on toxicity of 133 chemicals based on data in the literature to ascertain predictive developmental toxicity endpoints. We found that the physical properties of chemicals (BCF or logP) did not fully predict lethality or developmental outcomes. Instead, individual outcomes such as pericardial edema and yolk sac edema were more reliable indicators of developmental toxicity. In addition, we ranked the chemicals based on toxicity with the Toxicological Priority Index (ToxPi) program and via a teratogenic ratio, and found that perfluorooctane sulfonate (PFOS) had the highest ToxPi score, triphenyltin acetate had the highest average ToxPi score (corrected for missing data and having more than 4 outcomes), and N-methyl-dithiocarbamate had the highest teratogenic ratio.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Developmental toxicity; Meta-analysis; Teratogen; ToxPi; Zebrafish

Mesh:

Substances:

Year:  2013        PMID: 23796950     DOI: 10.1016/j.reprotox.2013.06.070

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


  10 in total

1.  Comparison of toxicity values across zebrafish early life stages and mammalian studies: Implications for chemical testing.

Authors:  Nicole A Ducharme; David M Reif; Jan-Ake Gustafsson; Maria Bondesson
Journal:  Reprod Toxicol       Date:  2014-09-28       Impact factor: 3.143

Review 2.  Test driving ToxCast: endocrine profiling for 1858 chemicals included in phase II.

Authors:  Dayne Filer; Heather B Patisaul; Thaddeus Schug; David Reif; Kristina Thayer
Journal:  Curr Opin Pharmacol       Date:  2014-12       Impact factor: 5.547

3.  An assessment of vaping-induced inflammation and toxicity: A feasibility study using a 2-stage zebrafish and mouse platform.

Authors:  Rob U Onyenwoke; TinChung Leung; Xiaoyan Huang; De'Jana Parker; Jeffrey G Shipman; Shatha K Alhadyan; Vijay Sivaraman
Journal:  Food Chem Toxicol       Date:  2022-03-19       Impact factor: 5.572

4.  Embryo/larval toxicity and transcriptional effects in zebrafish (Danio rerio) exposed to endocrine active riverbed sediments.

Authors:  Luigi Viganò; Nadia Casatta; Anna Farkas; Giuseppe Mascolo; Claudio Roscioli; Fabrizio Stefani; Matteo Vitelli; Fabio Olivo; Laura Clerici; Pasquale Robles; Pierluisa Dellavedova
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-16       Impact factor: 4.223

Review 5.  Making Waves: New Developments in Toxicology With the Zebrafish.

Authors:  Katharine A Horzmann; Jennifer L Freeman
Journal:  Toxicol Sci       Date:  2018-05-01       Impact factor: 4.849

6.  High-throughput characterization of chemical-associated embryonic behavioral changes predicts teratogenic outcomes.

Authors:  David M Reif; Lisa Truong; David Mandrell; Skylar Marvel; Guozhu Zhang; Robert L Tanguay
Journal:  Arch Toxicol       Date:  2015-07-01       Impact factor: 5.153

Review 7.  Zebrafish models in translational research: tipping the scales toward advancements in human health.

Authors:  Jennifer B Phillips; Monte Westerfield
Journal:  Dis Model Mech       Date:  2014-07       Impact factor: 5.758

Review 8.  Zebrafish as a Model to Evaluate Nanoparticle Toxicity.

Authors:  Enamul Haque; Alister C Ward
Journal:  Nanomaterials (Basel)       Date:  2018-07-23       Impact factor: 5.076

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

Authors:  Elisabet Teixidó; Tobias R Kießling; Eckart Krupp; Celia Quevedo; Arantza Muriana; Stefan Scholz
Journal:  Toxicol Sci       Date:  2019-02-01       Impact factor: 4.849

10.  Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem.

Authors:  Mario Lovrić; Olga Malev; Göran Klobučar; Roman Kern; Jay J Liu; Bono Lučić
Journal:  Molecules       Date:  2021-03-15       Impact factor: 4.411

  10 in total

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