Literature DB >> 26874871

Application of biotic ligand and toxicokinetic-toxicodynamic modeling to predict the accumulation and toxicity of metal mixtures to zebrafish larvae.

Yongfei Gao1, Jianfeng Feng2, Feng Han3, Lin Zhu4.   

Abstract

Predicting the accumulation and toxicity of mixtures of metals to aquatic organisms is a key challenge in ecotoxicological studies. In this study, the accumulation and toxicity of mixed essential (Cu) and nonessential (Cd and Pb) metals in zebrafish larvae exposed to a binary mixture of these elements at environmentally relevant concentrations were predicted using a refined toxicokinetic (TK)-toxicodynamic (TD) model aided with biotic ligand model (BLM) and toxic equivalent factor (TEF) approach. Competitive inhibition and non-competitive interaction/inhibition were observed in bio-uptake. Both Pb and Cd behaved as competitive inhibitors of Cu uptake at high Cu concentrations (>0.1 μM). By contrast, Cu uptake was independent of Cd or Pb when the Cu concentrations were below 10(-7) M. Furthermore, low concentrations of Cu had an adiaphorous effect on Cd or Pb uptake. Cd uptake was inhibited by Pb, and the Pb uptake rates consistently decreased in the presence of Cd. The accumulation processes of Cd-Pb, Cu-Cd, and Cu-Pb were accurately predicted by the BLM-aided TK models. The traditional TD model could successfully predict the toxicity of Cd-Pb mixtures, but not those of Cu-Cd or Cu-Pb mixtures. The revised TD model, which considered the possible different killing rates (Kk) above or below the threshold, offered better prediction for the toxicity of Cu-Cd or Cu-Pb mixtures. The overall findings may be of key significance in understanding and predicting metal uptake, accumulation, and toxicity in binary or multiple metal exposure scenarios.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Keywords:  Acute toxicity; BL; BLM; Bioaccumulation; Biotic ligand; CBR; Metal mixtures; TD model; TEF; TEQ; TK model; TK-TD model; TK1; TK2; Toxicokinetic–toxicodynamic (TK-TD) model; biotic ligand; biotic ligand model; the dynamic Critical Body Residue; the toxic equivalent quantity; toxic equivalent factor; toxicodynamic model; toxicokinetic model; toxicokinetic model 1; toxicokinetic model 2; toxicokinetic–toxicodynamic model

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Year:  2016        PMID: 26874871     DOI: 10.1016/j.envpol.2016.01.073

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Toxicodynamic modeling of zebrafish larvae to metals using stochastic death and individual tolerance models: comparisons of model assumptions, parameter sensitivity and predictive performance.

Authors:  Yongfei Gao; Jianfeng Feng; Lin Zhu
Journal:  Ecotoxicology       Date:  2017-02-03       Impact factor: 2.823

2.  Physiologically based kinetic modelling based prediction of in vivo rat and human acetylcholinesterase (AChE) inhibition upon exposure to diazinon.

Authors:  Shensheng Zhao; Sebastiaan Wesseling; Bert Spenkelink; Ivonne M C M Rietjens
Journal:  Arch Toxicol       Date:  2021-03-14       Impact factor: 5.153

  2 in total

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