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What Is the Predictive Value of Animal Models for Vaccine Efficacy in Humans?
Author(s) -
Ramin S. Herati,
E. John Wherry
Publication year - 2017
Publication title -
cold spring harbor perspectives in biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.011
H-Index - 173
ISSN - 1943-0264
DOI - 10.1101/cshperspect.a031583
Subject(s) - biology , animal model , vaccine efficacy , animal species , function (biology) , computational biology , extrapolation , immune system , bioinformatics , immunology , evolutionary biology , mathematical analysis , mathematics , endocrinology
Animal models are an essential feature of the vaccine design toolkit. Although animal models have been invaluable in delineating the mechanisms of immune function, their precision in predicting how well specific vaccines work in humans is often suboptimal. There are, of course, many obvious species differences that may limit animal models from predicting all details of how a vaccine works in humans. However, careful consideration of which animal models may have limitations should also allow more accurate interpretations of animal model data and more accurate predictions of what is to be expected in clinical trials. In this article, we examine some of the considerations that might be relevant to cross-species extrapolation of vaccine-related immune responses for the prediction of how vaccines will perform in humans.

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