Evidence map›Paper›PMID 27511873›Full record

ArticleScientific reports2016

A point mutation in AgrC determines cytotoxic or colonizing properties associated with phenotypic variants of ST22 MRSA strains.

Srikanth Mairpady Shambat, Nikolai Siemens, Ian R Monk, Disha B Mohan, Santhosh Mukundan, Karthickeyan Chella Krishnan, Sushma Prabhakara, Johanna Snäll, Angela Kearns, Francois Vandenesch and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  15. Staphylococci: Evolving Genomes.Microbiology spectrum · 2019
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  19. Aspartic Acid Residue 51 of SaeR Is Essential forFrontiers in microbiology · 2018
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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

15 authors at 7 institutions in 7 countries.

Srikanth Mairpady ShambatKarolinska Institutet, Center for Infectious Medicine, Karolinska University Hospital Huddinge, 141 86, Sweden.
Nikolai SiemensKarolinska Institutet, Center for Infectious Medicine, Karolinska University Hospital Huddinge, 141 86, Sweden.
Ian R MonkDepartment of Microbiology and Immunology, University of Melbourne, Victoria, 3010, Australia.
Disha B MohanMolecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India.
Santhosh MukundanDepartment of Basic Sciences, School of Medicine and Health Sciences, University of North, Dakota, ND, 58202-9037, USA.
Karthickeyan Chella KrishnanDepartment of Basic Sciences, School of Medicine and Health Sciences, University of North, Dakota, ND, 58202-9037, USA.
Sushma PrabhakaraSociety for Innovation and Development, Indian Institute of Science, Bangalore, 560012, India.
Johanna SnällKarolinska Institutet, Center for Infectious Medicine, Karolinska University Hospital Huddinge, 141 86, Sweden.
Angela KearnsNational Infection Service, Public Health England (PHE), Colindale, London, NW95EQ, UK.
Francois VandeneschCIRI, International Center for Infectiology Research, Inserm, U1111, CNRS UMR5308, Université Lyon 1, École Normale, Supérieure de Lyon, French.
Mattias SvenssonKarolinska Institutet, Center for Infectious Medicine, Karolinska University Hospital Huddinge, 141 86, Sweden.
Malak KotbDepartment of Basic Sciences, School of Medicine and Health Sciences, University of North, Dakota, ND, 58202-9037, USA.
Balasubramanian GopalMolecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India.
Gayathri ArakereSociety for Innovation and Development, Indian Institute of Science, Bangalore, 560012, India.
Anna Norrby-TeglundKarolinska Institutet, Center for Infectious Medicine, Karolinska University Hospital Huddinge, 141 86, Sweden.
Indian Institute of Science Bangalore · INKarolinska Institutet · SEUniversity of North Dakota · USKarolinska University Hospital · SEÉcole Normale Supérieure de Lyon · FRParks Victoria · AUPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of skin and soft tissue infections. One of the highly successful and rapidly disseminating clones is MRSA ST22 commonly associated with skin tropism. Here we show that a naturally occurring single amino acid substitution (tyrosine to cysteine) at position 223 of AgrC determines starkly different ST22 S. aureus virulence phenotypes, e.g. cytotoxic or colonizing, as evident in both in vitro and in vivo skin infections. Y223C amino acid substitution destabilizes AgrC-AgrA interaction leading to a colonizing phenotype characterized by upregulation of bacterial surface proteins. The colonizing phenotype strains cause less severe skin tissue damage, show decreased susceptibility towards the antimicrobial LL-37 and induce autophagy. In contrast, cytotoxic strains with tyrosine at position 223 of AgrC cause infections characterized by inflammasome activation and severe skin tissue pathology. Taken together, the study demonstrates how a single amino acid substitution in the histidine kinase receptor AgrC of ST22 strains determines virulence properties and infection outcome.

Indexed as

Point MutationAmino Acid SubstitutionAnimalsAntimicrobial Cationic PeptidesBacterial ProteinsCathelicidinsCell LineCysteineDisease Models, AnimalHumansMethicillin-Resistant Staphylococcus aureusMicePhenotypeProtein BindingProtein KinasesStaphylococcal Skin InfectionsAgrC protein, StaphylococcusAntimicrobial Cationic PeptidesBacterial ProteinsCathelicidinsCysteineProtein KinasesTyrosine

Identifiers

PMID27511873
PMCPMC4980769
OpenAlexW2515930163

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.