Evidence map›Paper›PMID 32062024›Full record

ReviewCurrent opinion in microbiology2020

Pseudomonas aeruginosa polymicrobial interactions during lung infection.

Karishma Bisht, Jiwasmika Baishya, Catherine A Wakeman

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Copper-driven mutualism ofMicrobiology (Reading, England) · 2026
    Article
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  8. Review
  9. Article
  10. Review
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  12. MvfR ShapesCells · 2025
    Article
  13. Article
  14. mBio · 2025
    Article
  15. Article
  16. Review
  17. The effects of silver nitrate onFrontiers in public health · 2025
    Article
  18. Article
  19. Article
  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.

Karishma BishtTexas Tech University, Department of Biological Sciences, Lubbock TX, USA.
Jiwasmika BaishyaTexas Tech University, Department of Biological Sciences, Lubbock TX, USA.
Catherine A WakemanTexas Tech University, Department of Biological Sciences, Lubbock TX, USA. Electronic address: catherine.wakeman@ttu.edu.

Funding

Physiological profiling of Pseudomonas aeruginosa biofilm subpopulationsR15GM128072 · NIGMS · TEXAS TECH UNIVERSITY · PI WAKEMAN, CATHERINE ANN · 2018 to 2018
$432k
NIGMS NIH HHS R15 GM128072
6 · The paper itself

Abstract

Chronic infections often contain complex polymicrobial communities that are recalcitrant to antibiotic treatment. The pathogens associated with these infectious communities are often studied in pure culture for their ability to cause disease. However, recent studies have begun to focus on the role of polymicrobial interactions in disease outcomes. Pseudomonas aeruginosa can colonize patients with chronic lung diseases for years and sometimes even decades. During these prolonged infections, P. aeruginosa encounters a plethora of other microbes including bacteria, fungi, and viruses. The interactions between these microbes can vary greatly, ranging from antagonistic to synergistic depending on specific host and microbe-associated contexts. These additional layers of complexity associated with chronic P. aeruginosa infections must be considered in future studies in order to fully understand the physiology of infection. Such studies focusing on the entire infectious community rather than individual species may ultimately lead to more effective therapeutic design for persistent polymicrobial infections.

Indexed as

Microbial InteractionsMicrobiotaAnimalsBacteriaHumansLungLung DiseasesPseudomonas aeruginosa

Identifiers

PMID32062024
PMCPMC7244363

What OpenQuestion 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 OpenQuestion graph.