Evidence map›Paper›PMID 25392717›Full record

ArticleGenome medicine2014

Staphylococcus aureus gene expression in a rat model of infective endocarditis.

Frank Hanses, Christelle Roux, Paul M Dunman, Bernd Salzberger, Jean C Lee

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Multimorbidity and animal models.Animal models and experimental medicine · 2025
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  4. Review
  5. The Application of Rat Models inPathogens (Basel, Switzerland) · 2024
    Review
  6. Occurrence of antimicrobial-resistant Staphylococcus aureus in a Brazilian veterinary hospital environment.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  7. Microbiology spectrum · 2023
    Article
  8. Pathogens (Basel, Switzerland) · 2022
    Article
  9. Review
  10. Article
  11. Small molecule natural products in human nasal/oral microbiota.Journal of industrial microbiology & biotechnology · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Article
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  18. Article
  19. SbnI is a free serine kinase that generatesThe Journal of biological chemistry · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Frank HansesChanning Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115 USA ; Department of Internal Medicine I, University Hospital Regensburg, Franz-Josef-Strauss Allee 11, Regensburg, 93049 Germany.
Christelle RouxDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY 14642 USA.
Paul M DunmanDepartment of Microbiology and Immunology, University of Rochester, Rochester, NY 14642 USA.
Bernd SalzbergerDepartment of Internal Medicine I, University Hospital Regensburg, Franz-Josef-Strauss Allee 11, Regensburg, 93049 Germany.
Jean C LeeChanning Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115 USA.
University of Rochester · USBrigham and Women's Hospital · USHarvard University · USUniversity Hospital Regensburg · DE

Funding

Novel Bioconjugate Vaccines to Prevent Staphylococcus aureus InfectionR01AI088754 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, JEAN CLAIRE · 2010 to 2014
$3.5M
GENETIC ANALYSIS OF S AUREUS CAPSULE PRODUCTIONR01AI029040 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, JEAN CLAIRE · 1990 to 2005
$1.5M
NIAID NIH HHS R01 AI029040NIAID NIH HHS R01 AI088754
6 · The paper itself

Abstract

backgroundDiabetes mellitus is a frequent underlying comorbidity in patients with Staphylococcus aureus endocarditis, and it represents a risk factor for complications and a negative outcome. The pathogenesis of staphylococcal endocardial infections in diabetic hosts has been poorly characterized, and little is known about S. aureus gene expression in endocardial vegetations.

methodsWe utilized a rat model of experimental S. aureus endocarditis to compare the pathogenesis of staphylococcal infection in diabetic and nondiabetic hosts and to study the global S. aureus transcriptome in endocardial vegetations in vivo.

resultsDiabetic rats had higher levels of bacteremia and larger endocardial vegetations than nondiabetic control animals. Microarray analyses revealed that 61 S. aureus genes were upregulated in diabetic rats, and the majority of these bacterial genes were involved in amino acid and carbohydrate metabolism. When bacterial gene expression in vivo (diabetic or nondiabetic endocardial vegetations) was compared to in vitro growth conditions, higher in vivo expression of genes encoding toxins and proteases was observed. Additionally, genes involved in the production of adhesins, capsular polysaccharide, and siderophores, as well as in amino acid and carbohydrate transport and metabolism, were upregulated in endocardial vegetations. To test the contribution of selected upregulated genes to the pathogenesis of staphylococcal endocarditis, isogenic deletion mutants were utilized. A mutant defective in production of the siderophore staphyloferrin B was attenuated in the endocarditis model, whereas the virulence of a surface adhesin (ΔsdrCDE) mutant was similar to that of the parental S. aureus strain.

conclusionsOur results emphasize the relevance of diabetes mellitus as a risk factor for infectious endocarditis and provide a basis for understanding gene expression during staphylococcal infections in vivo.

Identifiers

PMID25392717
PMCPMC4228149
OpenAlexW2149169853

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.