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Distinctive Cytokines as Biomarkers Predicting Fatal Outcome of Severe Staphylococcus aureus Bacteremia in Mice

Overview of attention for article published in PLOS ONE, March 2013
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Title
Distinctive Cytokines as Biomarkers Predicting Fatal Outcome of Severe Staphylococcus aureus Bacteremia in Mice
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059107
Pubmed ID
Authors

Sanne van den Berg, Jon D. Laman, Louis Boon, Marian T. ten Kate, Gerjo J. de Knegt, Rob M. Verdijk, Henri A. Verbrugh, Jan L. Nouwen, Irma A. J. M. Bakker-Woudenberg

Abstract

Invasive Staphylococcus aureus infections are frequently associated with bacteraemia. To support clinical decisions on antibiotic therapy, there is an urgent need for reliable markers as predictors of infection outcome. In the present study in mice, bacteraemia was established by intravenous inoculation of a clinical S. aureus isolate at the LD50 inoculum. As potential biomarkers for fatal outcome, blood culture (qualitative and quantitative), serum levels of C-reactive protein (CRP), as well as 31 selected cytokines and chemokines were assessed during the first three days of infection. A positive S. aureus blood culture, the quantitative blood culture, CRP levels, and levels of eight cytokines were indicative for the presence of S. aureus bacteraemia. However, only tumor necrosis factor (TNF) α, interleukin (IL) 1α, and keratinocyte chemoattractant (KC; a functional homologue of human IL-8) were each significantly elevated in eventually non-surviving infected mice versus eventually surviving infected mice. In severe S. aureus bacteraemia in mice, TNF-α, IL-1α, and KC are biomarkers predicting fatal outcome of infection. KC was a biomarker elevated irrespective the progression of infection, which is very interesting regarding clinical application in view of the heterogeneity of patients experiencing bacteraemia in this respect.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Germany 1 2%
Switzerland 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 9 19%
Student > Master 5 11%
Other 4 9%
Student > Doctoral Student 4 9%
Other 8 17%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Agricultural and Biological Sciences 11 23%
Biochemistry, Genetics and Molecular Biology 9 19%
Immunology and Microbiology 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 6%
Unknown 6 13%