Literature DB >> 12356535

Extension of the biotic ligand model of acute toxicity to a physiologically-based model of the survival time of rainbow trout (Oncorhynchus mykiss) exposed to silver.

Paul R Paquin1, Viktoria Zoltay, Richard P Winfield, Kuen Benjamin Wu, Rooni Mathew, Robert C Santore, Dominic M Di Toro.   

Abstract

Chemical speciation controls the bioavailability and toxicity of metals in aquatic systems and regulatory agencies are recognizing this as they develop updated water quality criteria (WQC) for metals. The factors that affect bioavailability may be quantitatively evaluated with the biotic ligand model (BLM). Within the context of the BLM framework, the 'biotic ligand' is the site where metal binding results in the manifestation of a toxic effect. While the BLM does account for the speciation and complexation of dissolved metal in solution, and competition among the free metal ion and other cations for binding sites at the biotic ligand, it does not explicitly consider either the physiological effects of metals on aquatic organisms, or the direct effect of water chemistry parameters such as pH, Ca(2+)and Na(+) on the physiological state of the organism. Here, a physiologically-based model of survival time is described. In addition to incorporating the effects of water chemistry on metal availability to the organism, via the BLM, it also considers the interaction of water chemistry on the physiological condition of the organism, independent of its effect on metal availability. At the same time it explicitly considers the degree of interaction of these factors with the organism and how this affects the rate at which cumulative damage occurs. An example application of the model to toxicity data for rainbow trout exposed to silver is presented to illustrate how this framework may be used to predict survival time for alternative exposure durations. The sodium balance model (SBM) that is described herein, a specific application of a more generic ion balance model (IBM) framework, adds a new physiological dimension to the previously developed BLM. As such it also necessarily adds another layer of complexity to this already useful predictive framework. While the demonstrated capability of the SBM to predict effects in relation to exposure duration is a useful feature of this mechanistically-based framework, it is envisioned that, with suitable refinements, it may also have utility in other areas of toxicological and regulatory interest. Such areas include the analysis of time variable exposure conditions, residual after-effects of exposure to metals, acclimation, chronic toxicity and species and genus sensitivity. Each of these is of potential utility to longer-term ongoing efforts to develop and refine WQC for metals.

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Year:  2002        PMID: 12356535     DOI: 10.1016/s1532-0456(02)00105-9

Source DB:  PubMed          Journal:  Comp Biochem Physiol C Toxicol Pharmacol        ISSN: 1532-0456            Impact factor:   3.228


  8 in total

1.  Dynamic features of ecophysiological response of freshwater clam to arsenic revealed by BLM-based toxicological model.

Authors:  Wei-Yu Chen; Chung-Min Liao
Journal:  Ecotoxicology       Date:  2010-04-06       Impact factor: 2.823

2.  Evaluation on subcellular partitioning and biodynamics of pulse copper toxicity in tilapia reveals impacts of a major environmental disturbance.

Authors:  Yun-Ru Ju; Ying-Fei Yang; Jeng-Wei Tsai; Yi-Hsien Cheng; Wei-Yu Chen; Chung-Min Liao
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-06       Impact factor: 4.223

3.  A biotic ligand model-based toxicodynamic approach to predict arsenic toxicity to tilapia gills in cultural ponds.

Authors:  Bo-Ching Chen; Wei-Yu Chen; Chung-Min Liao
Journal:  Ecotoxicology       Date:  2008-12-20       Impact factor: 2.823

4.  Coupled dynamics of energy budget and population growth of tilapia in response to pulsed waterborne copper.

Authors:  Wei-Yu Chen; Chia-Jung Lin; Yun-Ru Ju; Jeng-Wei Tsai; Chung-Min Liao
Journal:  Ecotoxicology       Date:  2012-08-01       Impact factor: 2.823

5.  The effects of cadmium and copper on embryonic and larval development of ide Leuciscus idus L.

Authors:  Malgorzata Witeska; Piotr Sarnowski; Katarzyna Ługowska; Ewelina Kowal
Journal:  Fish Physiol Biochem       Date:  2013-07-25       Impact factor: 2.794

6.  Metal to phosphorus stoichiometries for freshwater phytoplankton in three remote lakes.

Authors:  Aine M Gormley-Gallagher; Richard W Douglas; Brian Rippey
Journal:  PeerJ       Date:  2016-12-20       Impact factor: 2.984

Review 7.  Mechanisms of metal resistance and homeostasis in haloarchaea.

Authors:  Pallavee Srivastava; Meenal Kowshik
Journal:  Archaea       Date:  2013-02-21       Impact factor: 3.273

8.  Predictions of Cu toxicity in three aquatic species using bioavailability tools in four Swedish soft freshwaters.

Authors:  S Hoppe; M Sundbom; H Borg; M Breitholtz
Journal:  Environ Sci Eur       Date:  2015-10-12       Impact factor: 5.893

  8 in total

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