Evidence map›Paper›PMID 36069592›Full record

ArticleInfection and immunity2022

Staphylococcus lugdunensis Uses the Agr Regulatory System to Resist Killing by Host Innate Immune Effectors.

Denny Chin, Ronald S Flannagan, Stephen W Tuffs, Jeremy K Chan, John K McCormick, David E Heinrichs

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection and immunity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Clinical case reports · 2025
    Article
  3. mSystems · 2024
    Article
  4. Searching for Virulence Factors amongInternational journal of molecular sciences · 2023
    Article
  5. Lugdunin production and activity inMicrobiology spectrum · 2023
    Article
  6. 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

6 authors at 1 institution in 1 country.

Denny ChinDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.
Ronald S FlannaganDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-3263-2227
Stephen W TuffsDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-2874-7822
Jeremy K ChanDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.
John K McCormickDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.
David E HeinrichsDepartment of Microbiology and Immunology, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-7217-2456
Western University · CA

Funding

CIHR PJT-166050
6 · The paper itself

Abstract

Coagulase-negative staphylococci (CoNS) are frequently commensal bacteria that rarely cause disease in mammals. Staphylococcus lugdunensis is an exceptional CoNS that causes disease in humans similar to virulent Staphylococcus aureus, but the factors that enhance the virulence of this bacterium remain ill defined. Here, we used random transposon insertion mutagenesis to identify the

Indexed as

Staphylococcal InfectionsStaphylococcus lugdunensisAnimalsBacterial ProteinsCoagulaseHemolysin ProteinsHumansImmunity, InnateMammalsMetalloproteasesMicePeptidesVirulence FactorsBacterial ProteinsCoagulaseHemolysin ProteinsMetalloproteasesPeptidesVirulence Factorsaccessory gene regulatorcoagulase-negative staphylococcihemolysinsmetalloproteinspathogenesis

Identifiers

PMID36069592
PMCPMC9584346
OpenAlexW4294919498

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.