Evidence map›Paper›PMID 41790776›Full record

ArticlePloS one2026

Qualitative analysis of genomic mutations and antibiotic susceptibility testing of Pseudomonas aeruginosa isolates from chronic lung infections.

Ad C Fluit, Jumamurat R Bayjanov, María Díez Aguilar, Rafael Cantón, Deidre F Gilpin, Michael M Tunney, Miquel B Ekkelenkamp

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ad C FluitDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-3432-0021
Jumamurat R BayjanovDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
María Díez AguilarServicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
Rafael CantónServicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.ORCID https://orcid.org/0000-0003-1675-3173
Deidre F GilpinQueen's University Belfast, School of Pharmacy, Belfast, United Kingdom.
Michael M TunneyQueen's University Belfast, School of Pharmacy, Belfast, United Kingdom.
Miquel B EkkelenkampDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

P. aeruginosa is intrinsically resistant to many antibiotics and may acquire resistance to others. The aim was to reconcile phenotypic resistance of isolates obtained from patients with chronic respiratory infection with the results of WGS. A total of 497 isolates were recovered from 4 countries between 2002 and 2016 from patients chronic pulmonary conditions, especially cystic fibrosis. Minimum inhibitory concentrations were determined previously by broth microdilution method. Sequencing was performed with Illumina technology and data were analyzed using ResFinder, PubMLST, and the CARD database. In this collection, resistance varied from 4.0% for colistin to 58.8% for ciprofloxacin. Acquired antibiotic resistance genes were found in 17.1% of the isolates, involving six different genes, but could not explain the majority of resistance. Single amino acid changes often did not lead to Minimal Inhibitory Concentrations (MICs) above the EUCAST susceptibility breakpoint. Determining the contribution of each amino acid change to clinical resistance was complicated by the large number of described changes found, the often low frequency of these changes and the high variability of the proteins involved. In particular, the diversity among OXA-ß-lactamases was large; despite over 900 OXA-types in the database, more than half of the variants in the isolate set were undescribed. Resistant isolates frequently had two or more amino acid changes. Four amino acid changes possibly related to β-lactam resistance were more common: two in AmpC (V239A and V356I) and two in PBP3 (R153S and R504C), three of which occurred more often in resistant isolates. Ciprofloxacin resistance could be linked to alterations in GyrA (in particular T82I and D87N) and to loss of or changes in MexZ. AmpD, NfxB, and PmrA, which are associated with resistance, were not detected in similar percentages of resistant and susceptible isolate. It can be concluded that frequently multiple mechanisms make a partial contribution to antibiotic resistance in this set of isolates.

Indexed as

Anti-Bacterial AgentsMutationPseudomonas aeruginosaPseudomonas InfectionsCiprofloxacinDrug Resistance, BacterialGenome, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsCiprofloxacin

Identifiers

PMID41790776
PMCPMC12965580

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.