Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery

ABSTRACT Individuals respond differently to infectious diseases. Even among inbred mice that are presumed to be genetically identical, the response to a microbial pathogen is variable, which is generally thought to reflect experimental inconsistencies, technical errors, and stochastic processes. Her...

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Autores principales: Miriam E. Martin, Jacquelyn A. Dieter, Zheng Luo, Nicole Baumgarth, Jay V. Solnick
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Lenguaje:EN
Publicado: American Society for Microbiology 2012
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Acceso en línea:https://doaj.org/article/53ba82784805479fa7341e3c9c3ca665
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spelling oai:doaj.org-article:53ba82784805479fa7341e3c9c3ca6652021-11-15T15:39:13ZPredicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery10.1128/mBio.00199-122150-7511https://doaj.org/article/53ba82784805479fa7341e3c9c3ca6652012-11-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00199-12https://doaj.org/toc/2150-7511ABSTRACT Individuals respond differently to infectious diseases. Even among inbred mice that are presumed to be genetically identical, the response to a microbial pathogen is variable, which is generally thought to reflect experimental inconsistencies, technical errors, and stochastic processes. Here we describe the remarkable observation that the variability of Helicobacter pylori colonization density in the stomachs of experimentally infected C57BL/6J mice is tightly correlated with weight loss and viral load after a challenge with influenza virus, though H. pylori infection per se does not affect influenza and vice versa. Since these two infectious agents are found in different tissue compartments and are detected using unrelated methods, the correlation in microbial burden must represent a biological measure of disease susceptibility among genetically nearly identical individuals and not technical or stochastic factors. We hypothesize that inbred mice represent a powerful new tool for the identification of biomarkers to predict the outcome of infectious diseases.Miriam E. MartinJacquelyn A. DieterZheng LuoNicole BaumgarthJay V. SolnickAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 3, Iss 5 (2012)
institution DOAJ
collection DOAJ
language EN
topic Microbiology
QR1-502
spellingShingle Microbiology
QR1-502
Miriam E. Martin
Jacquelyn A. Dieter
Zheng Luo
Nicole Baumgarth
Jay V. Solnick
Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
description ABSTRACT Individuals respond differently to infectious diseases. Even among inbred mice that are presumed to be genetically identical, the response to a microbial pathogen is variable, which is generally thought to reflect experimental inconsistencies, technical errors, and stochastic processes. Here we describe the remarkable observation that the variability of Helicobacter pylori colonization density in the stomachs of experimentally infected C57BL/6J mice is tightly correlated with weight loss and viral load after a challenge with influenza virus, though H. pylori infection per se does not affect influenza and vice versa. Since these two infectious agents are found in different tissue compartments and are detected using unrelated methods, the correlation in microbial burden must represent a biological measure of disease susceptibility among genetically nearly identical individuals and not technical or stochastic factors. We hypothesize that inbred mice represent a powerful new tool for the identification of biomarkers to predict the outcome of infectious diseases.
format article
author Miriam E. Martin
Jacquelyn A. Dieter
Zheng Luo
Nicole Baumgarth
Jay V. Solnick
author_facet Miriam E. Martin
Jacquelyn A. Dieter
Zheng Luo
Nicole Baumgarth
Jay V. Solnick
author_sort Miriam E. Martin
title Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
title_short Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
title_full Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
title_fullStr Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
title_full_unstemmed Predicting the Outcome of Infectious Diseases: Variability among Inbred Mice as a New and Powerful Tool for Biomarker Discovery
title_sort predicting the outcome of infectious diseases: variability among inbred mice as a new and powerful tool for biomarker discovery
publisher American Society for Microbiology
publishDate 2012
url https://doaj.org/article/53ba82784805479fa7341e3c9c3ca665
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