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A Systematic Approach towards Optimizing a Cohabitation Challenge Model for Infectious Pancreatic Necrosis Virus in Atlantic Salmon (Salmo salar L.)
A cohabitation challenge model was developed for use in evaluating the efficacy of vaccines developed against infectious pancreatic necrosis virus (IPNV) in Atlantic salmon (Salmo salar L) using a stepwise approach. The study involved identifying a set of input variables that were optimized before i...
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Published in: | PloS one 2016-02, Vol.11 (2), p.e0148467-e0148467 |
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description | A cohabitation challenge model was developed for use in evaluating the efficacy of vaccines developed against infectious pancreatic necrosis virus (IPNV) in Atlantic salmon (Salmo salar L) using a stepwise approach. The study involved identifying a set of input variables that were optimized before inclusion in the model. Input variables identified included the highly virulent Norwegian Sp strain NVI015-TA encoding the T217A221 motif having the ability to cause >90% mortality and a hazard risk ratio of 490.18 (p75% in the unvaccinated fish in order to attain a high discriminatory capacity (DC) between the vaccinated and control fish as a measure of vaccine efficacy. The model shows the importance of using highly susceptible fish to IPNV in the optimization of challenge models by showing that highly susceptible fish had a better DC of differentiating vaccine protected fish from the unvaccinated control fish than the less susceptible fish. Once all input variables were optimized, the model was tested for its reproducibility by generating similar results from three independent cohabitation challenge trials using the same input variables. Overall, data presented here show that the cohabitation challenge model developed in this study is reproducible and that it can reliably be used to evaluate the efficacy of vaccines developed against IPNV in Atlantic salmon. We envision that the approach used here will open new avenues for developing optimal challenge models for use in evaluating the efficacy of different vaccines used in aquaculture. |
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The study involved identifying a set of input variables that were optimized before inclusion in the model. Input variables identified included the highly virulent Norwegian Sp strain NVI015-TA encoding the T217A221 motif having the ability to cause >90% mortality and a hazard risk ratio of 490.18 (p<0.000) for use as challenge virus. The challenge dose was estimated at 1x10(7) TCID50/mL per fish while the proportion of virus shedders was estimated at 12.5% of the total number of fish per tank. The model was designed based on a three parallel tank system in which the Cox hazard proportional regression model was used to estimate the minimum number of fish required to show significant differences between the vaccinated and control fish in each tank. All input variables were optimized to generate mortality >75% in the unvaccinated fish in order to attain a high discriminatory capacity (DC) between the vaccinated and control fish as a measure of vaccine efficacy. The model shows the importance of using highly susceptible fish to IPNV in the optimization of challenge models by showing that highly susceptible fish had a better DC of differentiating vaccine protected fish from the unvaccinated control fish than the less susceptible fish. Once all input variables were optimized, the model was tested for its reproducibility by generating similar results from three independent cohabitation challenge trials using the same input variables. Overall, data presented here show that the cohabitation challenge model developed in this study is reproducible and that it can reliably be used to evaluate the efficacy of vaccines developed against IPNV in Atlantic salmon. We envision that the approach used here will open new avenues for developing optimal challenge models for use in evaluating the efficacy of different vaccines used in aquaculture.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0148467</identifier><identifier>PMID: 26895162</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Aquaculture ; Biology and Life Sciences ; Birnaviridae Infections - veterinary ; Causes of ; Cohabitation ; Disease Susceptibility ; Diseases and pests ; Dosage ; Effectiveness ; Fish ; Fish Diseases - mortality ; Fish Diseases - prevention & control ; Fish Diseases - virology ; Immunization ; Infectious diseases ; Infectious pancreatic necrosis ; Infectious pancreatic necrosis virus - classification ; Infectious pancreatic necrosis virus - genetics ; Infectious pancreatic necrosis virus - immunology ; Mathematical models ; Medicine and Health Sciences ; Models, Theoretical ; Mortality ; Necrosis ; Oncorhynchus mykiss ; Optimization ; Pancreas ; Physical Sciences ; Physiological aspects ; Prevention ; Regression models ; Reproducibility ; Reproducibility of Results ; Research and Analysis Methods ; Salmo salar ; Salmo salar - immunology ; Salmo salar - virology ; Salmon ; Salmonidae ; Studies ; Trout ; Vaccine efficacy ; Vaccines ; Viral vaccines ; Viral Vaccines - administration & dosage ; Viral Vaccines - immunology ; Virus Shedding ; Viruses</subject><ispartof>PloS one, 2016-02, Vol.11 (2), p.e0148467-e0148467</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Munang’andu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Munang’andu et al 2016 Munang’andu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-f84315e1775a049c6a7f69ebabef077c33481d7045b603d5fb690e7372daeb6e3</citedby><cites>FETCH-LOGICAL-c692t-f84315e1775a049c6a7f69ebabef077c33481d7045b603d5fb690e7372daeb6e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1771271187/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1771271187?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26895162$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Boudinot, Pierre</contributor><creatorcontrib>Munang'andu, Hetron Mweemba</creatorcontrib><creatorcontrib>Santi, Nina</creatorcontrib><creatorcontrib>Fredriksen, Børge Nilsen</creatorcontrib><creatorcontrib>Løkling, Knut-Egil</creatorcontrib><creatorcontrib>Evensen, Øystein</creatorcontrib><title>A Systematic Approach towards Optimizing a Cohabitation Challenge Model for Infectious Pancreatic Necrosis Virus in Atlantic Salmon (Salmo salar L.)</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A cohabitation challenge model was developed for use in evaluating the efficacy of vaccines developed against infectious pancreatic necrosis virus (IPNV) in Atlantic salmon (Salmo salar L) using a stepwise approach. 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The model shows the importance of using highly susceptible fish to IPNV in the optimization of challenge models by showing that highly susceptible fish had a better DC of differentiating vaccine protected fish from the unvaccinated control fish than the less susceptible fish. Once all input variables were optimized, the model was tested for its reproducibility by generating similar results from three independent cohabitation challenge trials using the same input variables. Overall, data presented here show that the cohabitation challenge model developed in this study is reproducible and that it can reliably be used to evaluate the efficacy of vaccines developed against IPNV in Atlantic salmon. We envision that the approach used here will open new avenues for developing optimal challenge models for use in evaluating the efficacy of different vaccines used in aquaculture.</description><subject>Animals</subject><subject>Aquaculture</subject><subject>Biology and Life Sciences</subject><subject>Birnaviridae Infections - veterinary</subject><subject>Causes of</subject><subject>Cohabitation</subject><subject>Disease Susceptibility</subject><subject>Diseases and pests</subject><subject>Dosage</subject><subject>Effectiveness</subject><subject>Fish</subject><subject>Fish Diseases - mortality</subject><subject>Fish Diseases - prevention & control</subject><subject>Fish Diseases - virology</subject><subject>Immunization</subject><subject>Infectious diseases</subject><subject>Infectious pancreatic necrosis</subject><subject>Infectious pancreatic necrosis virus - classification</subject><subject>Infectious pancreatic necrosis virus - genetics</subject><subject>Infectious pancreatic necrosis virus - immunology</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Models, Theoretical</subject><subject>Mortality</subject><subject>Necrosis</subject><subject>Oncorhynchus mykiss</subject><subject>Optimization</subject><subject>Pancreas</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Prevention</subject><subject>Regression models</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Research and Analysis Methods</subject><subject>Salmo salar</subject><subject>Salmo salar - immunology</subject><subject>Salmo salar - virology</subject><subject>Salmon</subject><subject>Salmonidae</subject><subject>Studies</subject><subject>Trout</subject><subject>Vaccine efficacy</subject><subject>Vaccines</subject><subject>Viral vaccines</subject><subject>Viral Vaccines - administration & dosage</subject><subject>Viral Vaccines - immunology</subject><subject>Virus Shedding</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk89u1DAQxiMEoqXwBggsIaH2sIsdO3ZyQVqt-LNSoYhCr9Ykmey6cuKtnQDlOXhgnN1t1UU9oBwceX7zTebLTJI8Z3TKuGJvLt3gO7DTtetwSpnIhVQPkkNW8HQiU8of3nk_SJ6EcElpxnMpHycHqcyLjMn0MPkzI-fXoccWelOR2XrtHVQr0ruf4OtAzta9ac1v0y0JkLlbQWn6SLqOzFdgLXZLJJ9cjZY0zpNF12AVo0MgX6CrPG5EP2PlXTCBXBgfI6Yjs95CN4bOwbZR63hzkgAWPDmdnjxNHjVgAz7bnUfJ9_fvvs0_Tk7PPizms9NJJYu0nzS54CxDplQGVBSVBNXIAksosaFKVZyLnNWKiqyUlNdZU8qCouIqrQFLifwoebnVXVsX9M7QoKMgSxVjuYrEYkvUDi712psW_LV2YPTmwvmlBh87sahrnkXJaDnyUrC8yVOVFgUVgEXJZZZFrbe7akPZYl1h13uwe6L7kc6s9NL90EJJqriMAsc7Ae-uBgy9bk2o0EYzMXoev1sqmUqR0Yi--ge9v7sdtYTYgOkaF-tWo6ieCcEVLZQYy07voeJTY2uqOH2Nifd7CSd7CZHp8Ve_hCEEvTj_-v_s2cU--_oOu0Kw_So4O4zzGPZBsQXHwQsem1uTGdXj8ty4ocfl0bvliWkv7v6g26SbbeF_AavUFJ8</recordid><startdate>20160219</startdate><enddate>20160219</enddate><creator>Munang'andu, Hetron Mweemba</creator><creator>Santi, Nina</creator><creator>Fredriksen, Børge Nilsen</creator><creator>Løkling, Knut-Egil</creator><creator>Evensen, Øystein</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160219</creationdate><title>A Systematic Approach towards Optimizing a Cohabitation Challenge Model for Infectious Pancreatic Necrosis Virus in Atlantic Salmon (Salmo salar L.)</title><author>Munang'andu, Hetron Mweemba ; Santi, Nina ; Fredriksen, Børge Nilsen ; Løkling, Knut-Egil ; Evensen, Øystein</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-f84315e1775a049c6a7f69ebabef077c33481d7045b603d5fb690e7372daeb6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Animals</topic><topic>Aquaculture</topic><topic>Biology and Life Sciences</topic><topic>Birnaviridae Infections - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Munang'andu, Hetron Mweemba</au><au>Santi, Nina</au><au>Fredriksen, Børge Nilsen</au><au>Løkling, Knut-Egil</au><au>Evensen, Øystein</au><au>Boudinot, Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Systematic Approach towards Optimizing a Cohabitation Challenge Model for Infectious Pancreatic Necrosis Virus in Atlantic Salmon (Salmo salar L.)</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-02-19</date><risdate>2016</risdate><volume>11</volume><issue>2</issue><spage>e0148467</spage><epage>e0148467</epage><pages>e0148467-e0148467</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A cohabitation challenge model was developed for use in evaluating the efficacy of vaccines developed against infectious pancreatic necrosis virus (IPNV) in Atlantic salmon (Salmo salar L) using a stepwise approach. The study involved identifying a set of input variables that were optimized before inclusion in the model. Input variables identified included the highly virulent Norwegian Sp strain NVI015-TA encoding the T217A221 motif having the ability to cause >90% mortality and a hazard risk ratio of 490.18 (p<0.000) for use as challenge virus. The challenge dose was estimated at 1x10(7) TCID50/mL per fish while the proportion of virus shedders was estimated at 12.5% of the total number of fish per tank. The model was designed based on a three parallel tank system in which the Cox hazard proportional regression model was used to estimate the minimum number of fish required to show significant differences between the vaccinated and control fish in each tank. All input variables were optimized to generate mortality >75% in the unvaccinated fish in order to attain a high discriminatory capacity (DC) between the vaccinated and control fish as a measure of vaccine efficacy. The model shows the importance of using highly susceptible fish to IPNV in the optimization of challenge models by showing that highly susceptible fish had a better DC of differentiating vaccine protected fish from the unvaccinated control fish than the less susceptible fish. Once all input variables were optimized, the model was tested for its reproducibility by generating similar results from three independent cohabitation challenge trials using the same input variables. Overall, data presented here show that the cohabitation challenge model developed in this study is reproducible and that it can reliably be used to evaluate the efficacy of vaccines developed against IPNV in Atlantic salmon. We envision that the approach used here will open new avenues for developing optimal challenge models for use in evaluating the efficacy of different vaccines used in aquaculture.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26895162</pmid><doi>10.1371/journal.pone.0148467</doi><oa>free_for_read</oa></addata></record> |
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subjects | Animals Aquaculture Biology and Life Sciences Birnaviridae Infections - veterinary Causes of Cohabitation Disease Susceptibility Diseases and pests Dosage Effectiveness Fish Fish Diseases - mortality Fish Diseases - prevention & control Fish Diseases - virology Immunization Infectious diseases Infectious pancreatic necrosis Infectious pancreatic necrosis virus - classification Infectious pancreatic necrosis virus - genetics Infectious pancreatic necrosis virus - immunology Mathematical models Medicine and Health Sciences Models, Theoretical Mortality Necrosis Oncorhynchus mykiss Optimization Pancreas Physical Sciences Physiological aspects Prevention Regression models Reproducibility Reproducibility of Results Research and Analysis Methods Salmo salar Salmo salar - immunology Salmo salar - virology Salmon Salmonidae Studies Trout Vaccine efficacy Vaccines Viral vaccines Viral Vaccines - administration & dosage Viral Vaccines - immunology Virus Shedding Viruses |
title | A Systematic Approach towards Optimizing a Cohabitation Challenge Model for Infectious Pancreatic Necrosis Virus in Atlantic Salmon (Salmo salar L.) |
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