Evidence map›Paper›PMID 33875431›Full record

ArticleAntimicrobial agents and chemotherapy2021

Gene-Gene Interactions Dictate Ciprofloxacin Resistance in Pseudomonas aeruginosa and Facilitate Prediction of Resistance Phenotype from Genome Sequence Data.

Attika Rehman, Julie Jeukens, Roger C Levesque, Iain L Lamont

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 29 citations in OpenAlex.

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  8. Detection of the ST111 Global High-RiskCurrent issues in molecular biology · 2025
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  14. Quorum-sensing regulation of phenazine production heightensAntimicrobial agents and chemotherapy · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Resistance to Fluoroquinolones inAntibiotics (Basel, Switzerland) · 2022
    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 at 2 institutions in 2 countries.

Attika RehmanDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Julie JeukensInstitut de biologie intégrative et des systèmes (IBIS), Université Laval, Quebec City, Québec, Canada.
Roger C LevesqueInstitut de biologie intégrative et des systèmes (IBIS), Université Laval, Quebec City, Québec, Canada.
Iain L LamontDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Université Laval · CAUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ciprofloxacin is one of the most widely used antibiotics for treating Pseudomonas aeruginosa infections. However, P. aeruginosa acquires mutations that confer ciprofloxacin resistance, making treatment more difficult. Resistance is multifactorial, with mutations in multiple genes influencing the resistance phenotype. However, the contributions of individual mutations and mutation combinations to the amounts of ciprofloxacin that P. aeruginosa can tolerate are not well understood. Engineering P. aeruginosa strain PAO1 to contain mutations in any one of the resistance-associated genes

Indexed as

CiprofloxacinPseudomonas aeruginosaDNA GyraseDNA Topoisomerase IVDrug Resistance, BacterialFluoroquinolonesMicrobial Sensitivity TestsMutationPhenotypeCiprofloxacinDNA GyraseDNA Topoisomerase IVFluoroquinolonesantibiotic resistance predictionciprofloxacinciprofloxacin resistanceepistatic interactionsgene-gene interactionsPseudomonas aeruginosa

Identifiers

PMID33875431
PMCPMC8218647
OpenAlexW3154672499

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.