Evidence map›Paper›PMID 36786582›Full record

ArticlemBio2023

Interconnections of Pseudomonas aeruginosa Quorum-Sensing Systems in Intestinal Permeability and Inflammation.

Vijay K Singh, Marianna Almpani, Kelsey M Wheeler, Laurence G Rahme

Abstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Virulence · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. 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

4 authors.

Vijay K SinghDepartment of Surgery, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-4872-4545
Marianna AlmpaniDepartment of Surgery, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA.
Kelsey M WheelerDepartment of Surgery, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA.
Laurence G RahmeDepartment of Surgery, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-1851-3819

Funding

Molecular and Metabolic inter-kingdom actions of a bacterial quorum sensing signal in promotion of host tolerance/resilience.R01AI134857 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI RAHME, LAURENCE G · 2018 to 2022
$3.4M
A comprehensive investigation of Pseudomonas quorum sensing regulatory relationships and the consequences on quorum sensing inhibitors in complex communitiesR01AI177555 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LAURENCE G RAHME · 2023 to 2026
$3.4M
NIAID NIH HHS R01 AI134857NIAID NIH HHS R01 AI177555
6 · The paper itself

Abstract

Quorum sensing (QS) is a highly conserved microbial communication mechanism based on the production and sensing of secreted signaling molecules. The recalcitrant pathogen Pseudomonas aeruginosa is a problematic nosocomial pathogen with complex interconnected QS systems controlling multiple virulence functions. The relevance of QS in P. aeruginosa pathogenesis is well established; however, the regulatory interrelationships of the three major QS systems, LasR/LasI, MvfR (PqsR)/PqsABCD, and RhlR/RhlI, have been studied primarily

Indexed as

Pseudomonas InfectionsQuorum SensingAnimalsBacterial ProteinsGene Expression Regulation, BacterialHumansInflammationMicePseudomonas aeruginosaVirulence FactorsBacterial ProteinsVirulence Factorsantivirulenceintestinal inflammationintestinal permeabilityLasRMvfRPqsRPseudomonas aeruginosaquorum sensingRhlRvirulence

Identifiers

PMID36786582
PMCPMC10127598

What OpenQuestion holds

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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.