Evidence map›Paper›PMID 38696356›Full record

ReviewPLoS pathogens2024

Microbial extracellular vesicles contribute to antimicrobial resistance.

Bowei Jiang, Yi Lai, Wenhao Xiao, Tianyu Zhong, Fengping Liu, Junjie Gong, Junyun Huang

Abstract readReview
In one paragraph

Review in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Selective DNA encapsulation in extracellular vesicles ofExtracellular vesicles and circulating nucleic acids · 2026
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Bowei JiangThe First School of Clinical Medicine, Gannan Medical University, Ganzhou, China.ORCID 0009-0005-4201-1650
Yi LaiThe First School of Clinical Medicine, Gannan Medical University, Ganzhou, China.
Wenhao XiaoThe First School of Clinical Medicine, Gannan Medical University, Ganzhou, China.
Tianyu ZhongThe First School of Clinical Medicine, Gannan Medical University, Ganzhou, China.
Fengping LiuDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Junjie GongDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Junyun HuangThe First School of Clinical Medicine, Gannan Medical University, Ganzhou, China.ORCID 0009-0009-7682-494X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the escalating global antimicrobial resistance crisis, there is an urgent need for innovative strategies against drug-resistant microbes. Accumulating evidence indicates microbial extracellular vesicles (EVs) contribute to antimicrobial resistance. Therefore, comprehensively elucidating the roles and mechanisms of microbial EVs in conferring resistance could provide new perspectives and avenues for novel antimicrobial approaches. In this review, we systematically examine current research on antimicrobial resistance involving bacterial, fungal, and parasitic EVs, delineating the mechanisms whereby microbial EVs promote resistance. Finally, we discuss the application of bacterial EVs in antimicrobial therapy.

Indexed as

BacteriaExtracellular VesiclesAnimalsAnti-Bacterial AgentsBacterial InfectionsDrug Resistance, BacterialDrug Resistance, MicrobialFungiHumansAnti-Bacterial Agents

Identifiers

PMID38696356
PMCPMC11065233

What Socratic holds

Textmetadata
LicenceCC BY
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.