Evidence map›Paper›PMID 28462048›Full record

ArticlePeerJ2017

Pitfalls associated with evaluating enzymatic quorum quenching activity: the case of MomL and its effect on

Yunhui Zhang, Gilles Brackman, Tom Coenye

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. 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
1.8field-weighted citation impact, top 15% 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, 36 citations in OpenAlex.

  1. Research Progress on the Quorum Sensing System ofPathogens (Basel, Switzerland) · 2026
    Review
  2. Signaling inComputational and structural biotechnology journal · 2025
    Review
  3. Comprehensive Approaches to CombattingAntibiotics (Basel, Switzerland) · 2024
    Review
  4. Co-regulation of biofilm formation and antimicrobial resistance in Acinetobacter baumannii: from mechanisms to therapeutic strategies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Factors mediatingCurrent research in microbial sciences · 2022
    Review
  9. Review
  10. Review
  11. Quorum Sensing Inhibition or Quenching inFrontiers in microbiology · 2021
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. 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

3 authors at 1 institution in 1 country.

Yunhui ZhangLaboratory of Pharmaceutical Microbiology, Ghent University, Gent, Belgium.
Gilles BrackmanLaboratory of Pharmaceutical Microbiology, Ghent University, Gent, Belgium.
Tom CoenyeLaboratory of Pharmaceutical Microbiology, Ghent University, Gent, Belgium.
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe enzymatic degradation of quorums sensing (QS) molecules (called quorum quenching, QQ) has been considered as a promising anti-virulence therapy to treat biofilm-related infections and combat antibiotic resistance. The recently-discovered QQ enzyme MomL has been reported to efficiently degrade different

methodsMomL was expressed in

resultsMomL reduced biofilm formation and increased biofilm susceptibility to different antibiotics in biofilms of DISCUSSION: Our results indicate that although MomL showed a promising anti-biofilm effect against

Indexed as

Acinetobacter baumanniiBiofilmMomLPseudomonas aeruginosaQuorum quenchingQuorum sensingQuorum sensing inhibition

Identifiers

PMID28462048
PMCPMC5410158
OpenAlexW2609941758

What OpenQuestion 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 OpenQuestion graph.