What Is the Predictive Value of Animal Models for Vaccine Efficacy in Humans?
Author(s) -
Stephen C. Jameson,
David Masopust
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.a029132
Subject(s) - biology , predictive value , value (mathematics) , vaccine efficacy , computational biology , immunology , vaccination , medicine , machine learning , computer science
Much of what we understand about immunology, including the response to vaccines, come from studies in mice because they provide many practical advantages compared with research in higher mammals and humans. Nevertheless, modalities for preventing or treating disease do not always translate from mouse to humans, which has led to increasing scrutiny of the continued merits of mouse research. Here, we summarize the pros and cons of current laboratory mouse models for immunology research and discuss whether overreliance on nonphysiological, ultra-hygienic animal husbandry approaches has limited the ultimate translation potential of mouse-derived data to humans. Alternative approaches are discussed that may extend the use of the mouse model for preclinical studies.
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