Literature DB >> 30317118

Toxicity of some prevalent organic chemicals to tadpoles and comparison with toxicity to fish based on mode of toxic action.

Shuo Wang1, Li C Yan1, Shan S Zheng1, Tian T Li1, Ling Y Fan1, Tao Huang1, Chao Li2, Yuan H Zhao3.   

Abstract

Although mode of action (MOA) plays a key role in the understanding of the toxic mechanism of chemicals, the MOAs of class-based compounds to tadpoles have not been investigated. To explore the MOAs, acute toxicity (expressed as log 1/LC50) to Rana chensinensis tadpoles were determined and molecular descriptors were calculated. Quantitative structure-activity relationship (QSAR) showed that toxicity to tadpoles is closely related to the chemical octanol/water partition coefficient (log KOW), energy of the lowest unoccupied molecular orbital (ELUMO), and number of hydrogen bond donors and acceptors (NHDA), representing the bio-uptake potential in tadpoles, the electrophilicity and hydrogen bonding capacity with target site(s), respectively. Comparison of the toxicity values between tadpoles and fish revealed that there were no significant differences for the overlapping compounds (average residual = 0.29 between tadpole and fish toxicity) with P values of interspecies correlation substantially less than 0.001. Classification of MOAs for the class-based compounds based on the excess toxicity calculated from toxicity ratio suggested that baseline, less inert compounds and some reactive or specifically-acting compounds share same MOAs between tadpoles and fish. Fish and tadpoles can serve as surrogates for each other in the safety evaluation of organic pollutants.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fish; Interspecies correlation; Mode of action; QSAR; Tadpoles; Toxicity ratio

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Year:  2018        PMID: 30317118     DOI: 10.1016/j.ecoenv.2018.09.105

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  3 in total

1.  MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri.

Authors:  Shengnan Zhang; Ning Wang; Limin Su; Xiaoyan Xu; Chao Li; Weichao Qin; Yuanhui Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-08       Impact factor: 4.223

2.  A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians.

Authors:  Andrey A Toropov; Matteo R Di Nicola; Alla P Toropova; Alessandra Roncaglioni; Edoardo Carnesecchi; Nynke I Kramer; Antony J Williams; Manuel E Ortiz-Santaliestra; Emilio Benfenati; Jean-Lou C M Dorne
Journal:  Sci Total Environ       Date:  2022-03-25       Impact factor: 10.753

3.  Combined Toxicity of Nitro-Substituted Benzenes and Zinc to Photobacterium Phosphoreum: Evaluation and QSAR Analysis.

Authors:  Shengnan Zhang; Limin Su; Xujia Zhang; Chao Li; Weichao Qin; Dongmei Zhang; Xiaoxia Liang; Yuanhui Zhao
Journal:  Int J Environ Res Public Health       Date:  2019-03-22       Impact factor: 3.390

  3 in total

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