martes, 22 de enero de 2013

PLOS ONE: Gene Expression-Based Classifiers Identify Staphylococcus aureus Infection in Mice and Humans

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PLOS ONE: Gene Expression-Based Classifiers Identify Staphylococcus aureus Infection in Mice and Humans

Research Article

Gene Expression-Based Classifiers Identify Staphylococcus aureus Infection in Mice and Humans

  • Sun Hee Ahn equal contributor,
    equal contributor Contributed equally to this work with: Sun Hee Ahn, Ephraim L. Tsalik
    Affiliation: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America
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  • Ephraim L. Tsalik equal contributor,
    equal contributor Contributed equally to this work with: Sun Hee Ahn, Ephraim L. Tsalik
    Affiliations: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America, Section on Infectious Diseases, Durham Veteran’s Affairs Medical Center, Durham, North Carolina, United States of America
    X
  • Derek D. Cyr,
    Affiliation: Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
    X
  • Yurong Zhang,
    Affiliation: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America
    X
  • Jennifer C. van Velkinburgh,
    Affiliation: van Velkinburgh Initiative for Collaborative BioMedical Research, Santa Fe, New Mexico, United States of America
    X
  • Raymond J. Langley,
    Affiliation: Immunology Division, Lovelace Respiratory Research Institute, Albuquerque, New Mexico, United States of America
    X
  • Seth W. Glickman,
    Affiliation: Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
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  • Charles B. Cairns,
    Affiliation: Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
    X
  • Aimee K. Zaas,
    Affiliations: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America, Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
    X
  • Emanuel P. Rivers,
    Affiliation: Department of Emergency Medicine, Henry Ford Hospital, Wayne State University, Detroit, Michigan, United States of America
    X
  • Ronny M. Otero,
    Affiliation: Department of Emergency Medicine, Henry Ford Hospital, Wayne State University, Detroit, Michigan, United States of America
    X
  • Tim Veldman,
    Affiliation: Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
    X
  • Stephen F. Kingsmore,
    Affiliation: Center for Pediatric Genomic Medicine, Children’s Mercy Hospitals and Clinics, Kansas City, Missouri, United States of America
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  •  [ ... ],
  • Joseph Lucas,
    Affiliation: Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
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  • Christopher W. Woods,
    Affiliations: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America, Section on Infectious Diseases, Durham Veteran’s Affairs Medical Center, Durham, North Carolina, United States of America, Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
    X
  • Geoffrey S. Ginsburg mail,
    Geoffrey.ginsburg@duke.edu (GSG); vance.fowler@duke.edu (VGF)
    Affiliation: Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America
    X
  • Vance G. Fowler Jr mail
    Geoffrey.ginsburg@duke.edu (GSG); vance.fowler@duke.edu (VGF)
    Affiliations: Division of Infectious Diseases and International Health, Department of Medicine, Duke University, Durham, North Carolina, United States of America, Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, United States of America, Duke Clinical Research Institute, Durham, North Carolina, United States of America
    X
  • , [ view all ]
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Abstract

Staphylococcus aureus causes a spectrum of human infection. Diagnostic delays and uncertainty lead to treatment delays and inappropriate antibiotic use. A growing literature suggests the host’s inflammatory response to the pathogen represents a potential tool to improve upon current diagnostics. The hypothesis of this study is that the host responds differently to S. aureus than to E. coli infection in a quantifiable way, providing a new diagnostic avenue. This study uses Bayesian sparse factor modeling and penalized binary regression to define peripheral blood gene-expression classifiers of murine and human S. aureus infection. The murine-derived classifier distinguished S. aureus infection from healthy controls and Escherichia coli-infected mice across a range of conditions (mouse and bacterial strain, time post infection) and was validated in outbred mice (AUC>0.97). A S. aureus classifier derived from a cohort of 94 human subjects distinguished S. aureus blood stream infection (BSI) from healthy subjects (AUC 0.99) and E. coli BSI (AUC 0.84). Murine and human responses to S. aureus infection share common biological pathways, allowing the murine model to classify S. aureus BSI in humans (AUC 0.84). Both murine and human S. aureus classifiers were validated in an independent human cohort (AUC 0.95 and 0.92, respectively). The approach described here lends insight into the conserved and disparate pathways utilized by mice and humans in response to these infections. Furthermore, this study advances our understanding of S. aureus infection; the host response to it; and identifies new diagnostic and therapeutic avenues.

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