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Local Inflammation Exacerbates the Severity of Staphylococcus aureus Skin Infection

Overview of attention for article published in PLOS ONE, July 2013
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Title
Local Inflammation Exacerbates the Severity of Staphylococcus aureus Skin Infection
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0069508
Pubmed ID
Authors

Christopher P. Montgomery, Melvin D. Daniels, Fan Zhao, Brad Spellberg, Anita S. Chong, Robert S. Daum

Abstract

Staphylococcus aureus is the leading cause of skin infections. In a mouse model of S. aureus skin infection, we found that lesion size did not correlate with bacterial burden. Athymic nude mice had smaller skin lesions that contained lower levels of myeloperoxidase, IL-17A, and CXCL1, compared with wild type mice, although there was no difference in bacterial burden. T cell deficiency did not explain the difference in lesion size, because TCR βδ (-/-) mice did not have smaller lesions, and adoptive transfer of congenic T cells into athymic nude mice prior to infection did not alter lesion size. The differences observed were specific to the skin, because mortality in a pneumonia model was not different between wild type and athymic nude mice. Thus, the clinical severity of S. aureus skin infection is driven by the inflammatory response to the bacteria, rather than bacterial burden, in a T cell independent manner.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
South Africa 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Student > Master 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 6 12%
Medicine and Dentistry 5 10%
Engineering 3 6%
Other 5 10%
Unknown 13 25%