Literature DB >> 25462311

Discrimination of excess toxicity from narcotic effect: influence of species sensitivity and bioconcentration on the classification of modes of action.

Jin J Li1, Xiao H Wang1, Yu Wang1, Yang Wen1, Wei C Qin1, Li M Su2, Yuan H Zhao3.   

Abstract

The toxicity data of 2624 chemicals to fish, Daphniamagna, Tetrahymenapyriformis and Vibriofischeri were used to investigate the effects of species sensitivity and bioconcentration on excess toxicity. The results showed that 47 chemical classes were identified as having the same modes of action (MOAs) to all four species, but more than half of the classes were identified as having different MOAs. Difference in chemical MOAs is one of the reasons resulting in the difference in toxic effect to these four species. Other important reasons are the difference in sensitivity and bioconcentration of species. Among the four species, V. fischeri has the most compounds identified as reactive MOA. This may be due to some compounds can be easily absorbed into the bacteria, react with the DNA or proteins, disrupt the normal function of the cell and exhibit significantly greater toxicity to the bacteria. On the other hand, the skin and lipid content of aqueous organisms can strongly inhibit the bio-uptake for some reactive compounds, resulting in a less toxic effect than expected. D. magna is the most sensitive species and T. pyriformis is the least sensitive species of the four species. For a comparison of interspecies toxicity, we need to use the same reference threshold of excess toxicity. However, some reactive compounds may be identified as baseline or less inert compounds for low sensitive species from the threshold developed from high sensitive species. The difference in the discrimination of excess toxicity to different species is not only because of the difference in MOAs for some compounds, but also due to the difference in sensitivity and bioconcentration.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Keywords:  Bioconcentration; Excess toxicity; Interspecies; Species sensitivity; Toxic mechanism

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Year:  2014        PMID: 25462311     DOI: 10.1016/j.chemosphere.2014.10.013

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  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.  Comparison of Toxicities to Vibrio fischeri and Fish Based on Discrimination of Excess Toxicity from Baseline Level.

Authors:  Xiao H Wang; Yang Yu; Tao Huang; Wei C Qin; Li M Su; Yuan H Zhao
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

3.  Prior Knowledge for Predictive Modeling: The Case of Acute Aquatic Toxicity.

Authors:  Gulnara Shavalieva; Stavros Papadokonstantakis; Gregory Peters
Journal:  J Chem Inf Model       Date:  2022-08-23       Impact factor: 6.162

  3 in total

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