Evidence map›Paper›PMID 38677977›Full record

ReviewTrends in microbiology2024

Staphylococcus aureus membrane vesicles: an evolving story.

Xiaogang Wang, Jean C Lee

Open access · greenAbstract readReview
In one paragraph

Review in Trends in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Biofilm sensitization to breakJournal of medical microbiology · 2026
    Article
  3. Review
  4. Article
  5. Characterization ofMicroorganisms · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. A brief review of membrane vesicles fromFrontiers in microbiology · 2025
    Review
  16. Review
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

2 authors at 1 institution in 1 country.

Xiaogang WangDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA. Electronic address: xwang39@bwh.harvard.edu.
Jean C LeeDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA.
Brigham and Women's Hospital · US

Funding

Staphylococcus aureus extracellular vesicles: host-pathogen interactionsR01AI141885 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, XIAOGANG · 2019 to 2022
$2.1M
NIAID NIH HHS R01 AI141885
6 · The paper itself

Abstract

Staphylococcus aureus is an important bacterial pathogen that causes a wide variety of human diseases in community and hospital settings. S. aureus employs a diverse array of virulence factors, both surface-associated and secreted, to promote colonization, infection, and immune evasion. Over the past decade, a growing body of research has shown that S. aureus generates extracellular membrane vesicles (MVs) that package a variety of bacterial components, many of which are virulence factors. In this review, we summarize recent advances in our understanding of S. aureus MVs and highlight their biogenesis, cargo, and potential role in the pathogenesis of staphylococcal infections. Lastly, we present some emerging questions in the field.

Indexed as

Extracellular VesiclesStaphylococcal InfectionsStaphylococcus aureusVirulence FactorsAnimalsBacterial ProteinsCell MembraneHumansVirulenceBacterial ProteinsVirulence Factorsbiogenesiscargoextracellular membrane vesiclesStaphylococcus aureusvaccinevirulence factors

Identifiers

PMID38677977
PMCPMC11511790
OpenAlexW4395678178

What Socratic 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 Socratic graph.