Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout
The authors tested the applicability of a previously developed biotic ligand model (BLM) to predict acute toxicity of single metals and metal mixtures (cadmium, lead, and zinc) to rainbow trout fry (Oncorhynchus mykiss) from a single available dataset. The BLM used in the present study hypothesizes...
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| Veröffentlicht in: | Environmental toxicology and chemistry 2015-04, Vol.34 (4), p.754-760 |
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| creator | Iwasaki, Yuichi Kamo, Masashi Naito, Wataru |
| description | The authors tested the applicability of a previously developed biotic ligand model (BLM) to predict acute toxicity of single metals and metal mixtures (cadmium, lead, and zinc) to rainbow trout fry (Oncorhynchus mykiss) from a single available dataset. The BLM used in the present study hypothesizes that metals inhibit an essential cation (calcium) and organisms die as a result of its deficiency, leading to an assumption that the proportion of metal‐binding ligand (f) is responsible for the toxic effects of metals on the survival of rainbow trout. The f value is a function of free‐ion concentrations of metals computed by a chemical speciation model, and the function has affinity constants as model parameters. First, the survival effects of single metals were statistically modeled separately (i.e., f‐survival relationship) by using the generalized linear mixed model with binomial distribution. The modeled responses of survival rates to f overlapped reasonably irrespective of metals tested, supporting the theoretical prediction from the BLM that f‐survival relationships are comparable regardless of metal species. The authors thus developed the generalized linear mixed model based on all data pooled across the single‐metal tests. The best‐fitted model well predicted the survival responses observed in mixture tests (r = 0.97), providing support for the applicability of the BLM to predict effects of metal mixtures. Environ Toxicol Chem 2015;34:754–760. © 2014 SETAC |
| doi_str_mv | 10.1002/etc.2780 |
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The BLM used in the present study hypothesizes that metals inhibit an essential cation (calcium) and organisms die as a result of its deficiency, leading to an assumption that the proportion of metal‐binding ligand (f) is responsible for the toxic effects of metals on the survival of rainbow trout. The f value is a function of free‐ion concentrations of metals computed by a chemical speciation model, and the function has affinity constants as model parameters. First, the survival effects of single metals were statistically modeled separately (i.e., f‐survival relationship) by using the generalized linear mixed model with binomial distribution. The modeled responses of survival rates to f overlapped reasonably irrespective of metals tested, supporting the theoretical prediction from the BLM that f‐survival relationships are comparable regardless of metal species. The authors thus developed the generalized linear mixed model based on all data pooled across the single‐metal tests. The best‐fitted model well predicted the survival responses observed in mixture tests (r = 0.97), providing support for the applicability of the BLM to predict effects of metal mixtures. Environ Toxicol Chem 2015;34:754–760. © 2014 SETAC</description><identifier>ISSN: 0730-7268</identifier><identifier>EISSN: 1552-8618</identifier><identifier>DOI: 10.1002/etc.2780</identifier><identifier>PMID: 25323464</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Acute toxicity ; Algorithms ; Animals ; Bioavailability ; Cadmium ; Cadmium - toxicity ; Calcium - metabolism ; Chemical mixtures ; Chemical speciation ; Ecological risk assessment ; Humic Substances ; Lead - toxicity ; Ligands ; Linear Models ; Mathematical analysis ; Mathematical models ; Metal bioavailability ; Metal concentrations ; Metals ; Metals - toxicity ; Models, Biological ; Molecules ; Oncorhynchus mykiss ; Oncorhynchus mykiss - physiology ; Organisms ; Salmon ; Salmonids ; Speciation ; Survival ; Survival Analysis ; Toxicity ; Trout ; Water Pollutants, Chemical - toxicity ; Windermere humic aqueous model ; Zinc ; Zinc - toxicity</subject><ispartof>Environmental toxicology and chemistry, 2015-04, Vol.34 (4), p.754-760</ispartof><rights>2014 SETAC</rights><rights>2014 SETAC.</rights><rights>Copyright Blackwell Publishing Ltd. Apr 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5600-94820233de12d9fc464886137e0dd708b52488b0f76326769680e1033c914bff3</citedby><cites>FETCH-LOGICAL-c5600-94820233de12d9fc464886137e0dd708b52488b0f76326769680e1033c914bff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fetc.2780$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetc.2780$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25323464$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Iwasaki, Yuichi</creatorcontrib><creatorcontrib>Kamo, Masashi</creatorcontrib><creatorcontrib>Naito, Wataru</creatorcontrib><title>Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout</title><title>Environmental toxicology and chemistry</title><addtitle>Environ Toxicol Chem</addtitle><description>The authors tested the applicability of a previously developed biotic ligand model (BLM) to predict acute toxicity of single metals and metal mixtures (cadmium, lead, and zinc) to rainbow trout fry (Oncorhynchus mykiss) from a single available dataset. The BLM used in the present study hypothesizes that metals inhibit an essential cation (calcium) and organisms die as a result of its deficiency, leading to an assumption that the proportion of metal‐binding ligand (f) is responsible for the toxic effects of metals on the survival of rainbow trout. The f value is a function of free‐ion concentrations of metals computed by a chemical speciation model, and the function has affinity constants as model parameters. First, the survival effects of single metals were statistically modeled separately (i.e., f‐survival relationship) by using the generalized linear mixed model with binomial distribution. The modeled responses of survival rates to f overlapped reasonably irrespective of metals tested, supporting the theoretical prediction from the BLM that f‐survival relationships are comparable regardless of metal species. The authors thus developed the generalized linear mixed model based on all data pooled across the single‐metal tests. The best‐fitted model well predicted the survival responses observed in mixture tests (r = 0.97), providing support for the applicability of the BLM to predict effects of metal mixtures. Environ Toxicol Chem 2015;34:754–760. © 2014 SETAC</description><subject>Acute toxicity</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Bioavailability</subject><subject>Cadmium</subject><subject>Cadmium - toxicity</subject><subject>Calcium - metabolism</subject><subject>Chemical mixtures</subject><subject>Chemical speciation</subject><subject>Ecological risk assessment</subject><subject>Humic Substances</subject><subject>Lead - toxicity</subject><subject>Ligands</subject><subject>Linear Models</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Metal bioavailability</subject><subject>Metal concentrations</subject><subject>Metals</subject><subject>Metals - toxicity</subject><subject>Models, Biological</subject><subject>Molecules</subject><subject>Oncorhynchus mykiss</subject><subject>Oncorhynchus mykiss - physiology</subject><subject>Organisms</subject><subject>Salmon</subject><subject>Salmonids</subject><subject>Speciation</subject><subject>Survival</subject><subject>Survival Analysis</subject><subject>Toxicity</subject><subject>Trout</subject><subject>Water Pollutants, Chemical - toxicity</subject><subject>Windermere humic aqueous model</subject><subject>Zinc</subject><subject>Zinc - toxicity</subject><issn>0730-7268</issn><issn>1552-8618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkV1rFDEUhoNY7FoFf4EEvOnN1JNkJh-XUnQtLFql0suQyWRK6sxkTDJ09983S7d7IQheBQ7PeThvXoTeEbggAPSjy_aCCgkv0Io0Da0kJ_IlWoFgUAnK5Sl6ndI9AOFKqVfolDaMsprXKzTcuJT9dIfNhM08D96a7MOEQ48Nbn3I3uLB35mpw2Po3IBzwHN0nbcZG7tkVwZbb33e7VdGl82AR7_NS3Rpz0bjpzY84BzDkt-gk94Myb09vGfo15fPN5dfq8339dXlp01lGw5QqVpSoIx1jtBO9bYcKksiJhx0nQDZNrQMWugFZ5QLrrgER4Axq0jd9j07Q-dP3jmGP0sJqEefrBsGM7mwJE24EGWJ1fR_UMZk00hV0A9_ofdhiVMJUqjysQCqHH0U2hhSiq7Xc_SjiTtNQO_L0qUsvS-roO8PwqUdXXcEn9spQPUEPPjB7f4p0oU5CA-8T9ltj7yJv3WJIRp9-22tN7c_2HX9U-k1ewRYGqrQ</recordid><startdate>201504</startdate><enddate>201504</enddate><creator>Iwasaki, Yuichi</creator><creator>Kamo, Masashi</creator><creator>Naito, Wataru</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope><scope>7QH</scope><scope>7UA</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>7SU</scope><scope>KR7</scope></search><sort><creationdate>201504</creationdate><title>Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout</title><author>Iwasaki, Yuichi ; Kamo, Masashi ; Naito, Wataru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5600-94820233de12d9fc464886137e0dd708b52488b0f76326769680e1033c914bff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Acute toxicity</topic><topic>Algorithms</topic><topic>Animals</topic><topic>Bioavailability</topic><topic>Cadmium</topic><topic>Cadmium - toxicity</topic><topic>Calcium - metabolism</topic><topic>Chemical mixtures</topic><topic>Chemical speciation</topic><topic>Ecological risk assessment</topic><topic>Humic Substances</topic><topic>Lead - toxicity</topic><topic>Ligands</topic><topic>Linear Models</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Metal bioavailability</topic><topic>Metal concentrations</topic><topic>Metals</topic><topic>Metals - toxicity</topic><topic>Models, Biological</topic><topic>Molecules</topic><topic>Oncorhynchus mykiss</topic><topic>Oncorhynchus mykiss - physiology</topic><topic>Organisms</topic><topic>Salmon</topic><topic>Salmonids</topic><topic>Speciation</topic><topic>Survival</topic><topic>Survival Analysis</topic><topic>Toxicity</topic><topic>Trout</topic><topic>Water Pollutants, Chemical - toxicity</topic><topic>Windermere humic aqueous model</topic><topic>Zinc</topic><topic>Zinc - toxicity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iwasaki, Yuichi</creatorcontrib><creatorcontrib>Kamo, Masashi</creatorcontrib><creatorcontrib>Naito, Wataru</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Engineering Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Environmental toxicology and chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iwasaki, Yuichi</au><au>Kamo, Masashi</au><au>Naito, Wataru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout</atitle><jtitle>Environmental toxicology and chemistry</jtitle><addtitle>Environ Toxicol Chem</addtitle><date>2015-04</date><risdate>2015</risdate><volume>34</volume><issue>4</issue><spage>754</spage><epage>760</epage><pages>754-760</pages><issn>0730-7268</issn><eissn>1552-8618</eissn><abstract>The authors tested the applicability of a previously developed biotic ligand model (BLM) to predict acute toxicity of single metals and metal mixtures (cadmium, lead, and zinc) to rainbow trout fry (Oncorhynchus mykiss) from a single available dataset. The BLM used in the present study hypothesizes that metals inhibit an essential cation (calcium) and organisms die as a result of its deficiency, leading to an assumption that the proportion of metal‐binding ligand (f) is responsible for the toxic effects of metals on the survival of rainbow trout. The f value is a function of free‐ion concentrations of metals computed by a chemical speciation model, and the function has affinity constants as model parameters. First, the survival effects of single metals were statistically modeled separately (i.e., f‐survival relationship) by using the generalized linear mixed model with binomial distribution. The modeled responses of survival rates to f overlapped reasonably irrespective of metals tested, supporting the theoretical prediction from the BLM that f‐survival relationships are comparable regardless of metal species. The authors thus developed the generalized linear mixed model based on all data pooled across the single‐metal tests. The best‐fitted model well predicted the survival responses observed in mixture tests (r = 0.97), providing support for the applicability of the BLM to predict effects of metal mixtures. Environ Toxicol Chem 2015;34:754–760. © 2014 SETAC</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25323464</pmid><doi>10.1002/etc.2780</doi><tpages>7</tpages></addata></record> |
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| subjects | Acute toxicity Algorithms Animals Bioavailability Cadmium Cadmium - toxicity Calcium - metabolism Chemical mixtures Chemical speciation Ecological risk assessment Humic Substances Lead - toxicity Ligands Linear Models Mathematical analysis Mathematical models Metal bioavailability Metal concentrations Metals Metals - toxicity Models, Biological Molecules Oncorhynchus mykiss Oncorhynchus mykiss - physiology Organisms Salmon Salmonids Speciation Survival Survival Analysis Toxicity Trout Water Pollutants, Chemical - toxicity Windermere humic aqueous model Zinc Zinc - toxicity |
| title | Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout |
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