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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
Main Authors: Munang'andu, Hetron Mweemba, Santi, Nina, Fredriksen, Børge Nilsen, Løkling, Knut-Egil, Evensen, Øystein
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cited_by cdi_FETCH-LOGICAL-c692t-f84315e1775a049c6a7f69ebabef077c33481d7045b603d5fb690e7372daeb6e3
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container_title PloS one
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Santi, Nina
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Løkling, Knut-Egil
Evensen, Øystein
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.
doi_str_mv 10.1371/journal.pone.0148467
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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 &gt;90% mortality and a hazard risk ratio of 490.18 (p&lt;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 &gt;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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1932-6203
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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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