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Comparing three approaches in extending biotic ligand models to predict the toxicity of binary metal mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to lettuce (Lactuca sativa L.).
Chemosphere. 2014 Oct; 112:282-8.C

Abstract

Metals are always found in the environment as mixtures rather than as solitary elements. However, effect models such as biotic ligand models (BLMs) are usually derived for toxicity prediction of single metals. Our study aimed at predicting mixture toxicity of Cu-Ni, Cu-Zn and Cu-Ag combinations to lettuce (Lactucasativa L.) by combining BLMs with three toxicity indexes: the toxic unit, the overall amounts of metal ions bound to the biotic ligands and the toxic equivalency factor. The accumulation of metal ions at the biotic ligands was used to determine the toxic potency of metals alone or in combination. On the basis of parameters derived from toxicity assessment of individual metals, these three extended BLMs appeared to be all acceptable (p<0.0001) in assessing toxicity of diverse metal mixtures. The BLM-based approaches integrated competition between metal ions in assessing mixture toxicity and showed different predictive ability for each metal combination. The outcome of modeling suggested that the combined toxicity depends on the specific components of the metal mixtures. The best developed models assist in identifying the type of underlying toxic mechanisms of diverse metal mixtures in terrestrial plants.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Liu Y
Institute of Environmental Sciences (CML), Leiden University, 2300 RA Leiden, The Netherlands. Electronic address: liu@cml.leidenuniv.nl.
Vijver MG
Institute of Environmental Sciences (CML), Leiden University, 2300 RA Leiden, The Netherlands.
Peijnenburg WJ
Institute of Environmental Sciences (CML), Leiden University, 2300 RA Leiden, The Netherlands; National Institute of Public Health and the Environment (RIVM), Center for Safety of Substances and Products, 3720 BA Bilthoven, The Netherlands.

MeSH

CopperDose-Response Relationship, DrugDrug InteractionsEcotoxicologyEnvironmental PollutantsHydrogen-Ion ConcentrationLettuceLigandsMetals, HeavyModels, BiologicalNickelSilverZinc

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25048917

Citation

Liu, Yang, et al. "Comparing Three Approaches in Extending Biotic Ligand Models to Predict the Toxicity of Binary Metal Mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to Lettuce (Lactuca Sativa L.)." Chemosphere, vol. 112, 2014, pp. 282-8.
Liu Y, Vijver MG, Peijnenburg WJ. Comparing three approaches in extending biotic ligand models to predict the toxicity of binary metal mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to lettuce (Lactuca sativa L.). Chemosphere. 2014;112:282-8.
Liu, Y., Vijver, M. G., & Peijnenburg, W. J. (2014). Comparing three approaches in extending biotic ligand models to predict the toxicity of binary metal mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to lettuce (Lactuca sativa L.). Chemosphere, 112, 282-8. https://doi.org/10.1016/j.chemosphere.2014.04.077
Liu Y, Vijver MG, Peijnenburg WJ. Comparing Three Approaches in Extending Biotic Ligand Models to Predict the Toxicity of Binary Metal Mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to Lettuce (Lactuca Sativa L.). Chemosphere. 2014;112:282-8. PubMed PMID: 25048917.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparing three approaches in extending biotic ligand models to predict the toxicity of binary metal mixtures (Cu-Ni, Cu-Zn and Cu-Ag) to lettuce (Lactuca sativa L.). AU - Liu,Yang, AU - Vijver,Martina G, AU - Peijnenburg,Willie J G M, Y1 - 2014/05/20/ PY - 2013/12/29/received PY - 2014/03/20/revised PY - 2014/04/19/accepted PY - 2014/7/23/entrez PY - 2014/7/23/pubmed PY - 2014/10/23/medline KW - Biotic ligand models KW - Lettuce KW - Metal mixtures KW - Toxicity KW - Toxicity index SP - 282 EP - 8 JF - Chemosphere JO - Chemosphere VL - 112 N2 - Metals are always found in the environment as mixtures rather than as solitary elements. However, effect models such as biotic ligand models (BLMs) are usually derived for toxicity prediction of single metals. Our study aimed at predicting mixture toxicity of Cu-Ni, Cu-Zn and Cu-Ag combinations to lettuce (Lactucasativa L.) by combining BLMs with three toxicity indexes: the toxic unit, the overall amounts of metal ions bound to the biotic ligands and the toxic equivalency factor. The accumulation of metal ions at the biotic ligands was used to determine the toxic potency of metals alone or in combination. On the basis of parameters derived from toxicity assessment of individual metals, these three extended BLMs appeared to be all acceptable (p<0.0001) in assessing toxicity of diverse metal mixtures. The BLM-based approaches integrated competition between metal ions in assessing mixture toxicity and showed different predictive ability for each metal combination. The outcome of modeling suggested that the combined toxicity depends on the specific components of the metal mixtures. The best developed models assist in identifying the type of underlying toxic mechanisms of diverse metal mixtures in terrestrial plants. SN - 1879-1298 UR - https://www.unboundmedicine.com/medline/citation/25048917/Comparing_three_approaches_in_extending_biotic_ligand_models_to_predict_the_toxicity_of_binary_metal_mixtures__Cu_Ni_Cu_Zn_and_Cu_Ag__to_lettuce__Lactuca_sativa_L___ DB - PRIME DP - Unbound Medicine ER -