Evidence map›Paper›PMID 19293374›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Evolution of virulence in epidemic community-associated methicillin-resistant Staphylococcus aureus.

Min Li, Binh An Diep, Amer E Villaruz, Kevin R Braughton, Xiaofei Jiang, Frank R DeLeo, Henry F Chambers, Yuan Lu, Michael Otto

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed, 2 pooled it
21.5field-weighted citation impact, top 1% 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

235 citing papers in PubMed, 2 syntheses or guidelines pooled it, 396 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. GrowingInfection and immunity · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Pathogens (Basel, Switzerland) · 2025
    Review
  10. Estrogen and bacterial infection.Frontiers in immunology · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Draft genome sequence of a highly proteolyticMicrobiology resource announcements · 2023
    Article
  16. Article
  17. Community-Acquired Methicillin-ResistantDiagnostics (Basel, Switzerland) · 2023
    Article
  18. Review
  19. Review
  20. Infection and immunity · 2023
    Article

175 more citing papers are in PubMed but not listed here.

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

9 authors at 5 institutions in 2 countries.

Min LiNational Institute of Allergy and Infectious Diseases, National Institutes of Health, 903 South 4th Street, Hamilton, MT 59840, MD 20892, USA.
Binh An Diep
Amer E Villaruz
Kevin R Braughton
Xiaofei Jiang
Frank R DeLeo
Henry F Chambers
Yuan Lu
Michael Otto
National Institutes of Health · USNational Institute of Allergy and Infectious Diseases · USUniversity of California, San Francisco · USFudan University · CNHuashan Hospital · CN

Funding

Staphylococcal pathogenesisZIAAI000904 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI OTTO, MICHAEL · 2009 to 2025
$22.6M
Mechanisms of Staphylococcus aureus virulenceZIAAI001079 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DELEO, FRANK · 2009 to 2025
$11.8M
Microbial Pathogenesis and Host DefenseT32AI060537 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joanne N. Engel · 2004 to 2026
$6.5M
Genetic Basis of Virulence of Community MRSA Clone USA300R01AI070289 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRY CHAMBERS, HENRY F · 2008 to 2010
$1.2M
Intramural NIH HHSNIAID NIH HHS 5T32AI060537-02NIAID NIH HHS R01 AI070289NIAID NIH HHS T32 AI060537
6 · The paper itself

Abstract

Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has recently emerged worldwide. The United States, in particular, is experiencing a serious epidemic of CA-MRSA that is almost entirely caused by an extraordinarily infectious strain named USA300. However, the molecular determinants underlying the pathogenic success of CA-MRSA are mostly unknown. To gain insight into the evolution of the exceptional potential of USA300 to cause disease, we compared the phylogeny and virulence of USA300 with that of closely related MRSA clones. We discovered that the sublineage from which USA300 evolved is characterized by a phenotype of high virulence that is clearly distinct from other MRSA strains. Namely, USA300 and its progenitor, USA500, had high virulence in animal infection models and the capacity to evade innate host defense mechanisms. Furthermore, our results indicate that increased virulence in the USA300/USA500 sublineage is attributable to differential expression of core genome-encoded virulence determinants, such as phenol-soluble modulins and alpha-toxin. Notably, the fact that the virulence phenotype of USA300 was already established in its progenitor indicates that acquisition of mobile genetic elements has played a limited role in the evolution of USA300 virulence and points to a possibly different role of those elements. Thus, our results highlight the importance of differential gene expression in the evolution of USA300 virulence. This finding calls for a profound revision of our notion about CA-MRSA pathogenesis at the molecular level and has important implications for design of therapeutics directed against CA-MRSA.

Indexed as

Disease OutbreaksEvolution, MolecularPhylogenyAnimalsGene Expression Regulation, BacterialHumansMethicillin-Resistant Staphylococcus aureusUnited StatesVirulence

Identifiers

PMID19293374
PMCPMC2667066
OpenAlexW2005636153

What OpenQuestion holds

Textmetadata
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.