Evidence map›Paper›PMID 24779437›Full record

ArticleMolecular microbiology2014

Impact of the functional status of saeRS on in vivo phenotypes of Staphylococcus aureus sarA mutants.

Karen E Beenken, Lara N Mrak, Agnieszka K Zielinska, Danielle N Atwood, Allister J Loughran, Linda M Griffin, K Alice Matthews, Allison M Anthony, Horace J Spencer, Robert A Skinner and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular microbiology, 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
1.8field-weighted citation impact, top 16% 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, 37 citations in OpenAlex.

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  18. The Impacts ofInfection and immunity · 2020
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  19. Impact of Bacterial Infections on Osteogenesis: Evidence From In Vivo Studies.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019
    Review
  20. Article
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

13 authors at 1 institution in 1 country.

Karen E BeenkenDepartment of Microbiology and Immunology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Lara N Mrak
Agnieszka K Zielinska
Danielle N Atwood
Allister J Loughran
Linda M Griffin
K Alice Matthews
Allison M Anthony
Horace J Spencer
Robert A Skinner
Ginell R Post
Chia Y Lee
Mark S Smeltzer
University of Arkansas for Medical Sciences · US

Funding

Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Center for Protein Structure and FunctionP30GM103450 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI MILLETT, FRANCIS S · 2012 to 2014
$3.2M
TYPE 8 CAPSULE OF STAPHYLOCOCCUS AUREUSR01AI037027 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI LEE, CHIA Y. · 1995 to 2013
$3.2M
Detection, diagnosis and treatment of musculoskeletal infectionR01AI069087 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2007 to 2011
$1.7M
A nanotherapeutic approach to combat staphylococcal biofilm-associated infectionR56AI093126 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2011 to 2011
$360k
Regulation of biofilm formation in clinical isolates of Staphylococcus aureusR56AI074935 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2013 to 2013
$341k
NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1TR000039NIAID NIH HHS R01 AI037027NIAID NIH HHS R01 AI069087NIAID NIH HHS R01-AI069087NIAID NIH HHS R56 AI074935NIAID NIH HHS R56-AI074935NIAID NIH HHS R56 AI093126NIAID NIH HHS R56-AI093126NIGMS NIH HHS P20-GM103450NIGMS NIH HHS P20 GM103625NIGMS NIH HHS P30 GM103450
6 · The paper itself

Abstract

We investigated the in vivo relevance of the impact of sarA and saeRS on protease production using derivatives of the USA300 strain LAC. The results confirmed that mutation of saeRS or sarA reduces virulence in a bacteremia model to a comparable degree. However, while eliminating protease production restored virulence in the sarA mutant, it had little impact in the saeRS mutant. Additionally, constitutive activation of saeRS (saeRS(C)) enhanced the virulence of LAC and largely restored virulence in the isogenic sarA mutant. Based on these results, together with our analysis of the representative virulence factors alpha toxin, protein A (Spa), and extracellular nucleases, we propose a model in which the attenuation of saeRS mutants is defined primarily by decreased production of such factors, while constitutive activation of saeRS increases virulence, and reverses the attenuation of sarA mutants, because it results in both increased production and decreased protease-mediated degradation of these same factors. This regulatory balance was also apparent in a murine model of catheter-associated infection, with the results suggesting that the impact of saeRS on nuclease production plays an important role during the early stages of these infections that is partially offset by increased protease production in sarA mutants.

Indexed as

AnimalsBacteremiaBacterial ProteinsCatheter-Related InfectionsDisease Models, AnimalMethicillin-Resistant Staphylococcus aureusMicePeptide HydrolasesProtein KinasesTranscription FactorsVirulenceBacterial ProteinsPeptide HydrolasesProtein KinasesSaeR protein, Staphylococcus aureusSaeS protein, Staphylococcus aureusSarA protein, Staphylococcus aureusTranscription Factors

Identifiers

PMID24779437
PMCPMC4084611
OpenAlexW1903035930

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.