Evidence map›Paper›PMID 39332391›Full record

ArticleEBioMedicine2024

Monitoring of Pseudomonas aeruginosa mutational resistome dynamics using an enrichment panel for direct sequencing of clinical samples.

Sara Cortes-Lara, Paola Medina-Reatiga, Ester Del Barrio-Tofiño, María A Gomis-Font, Gabriel Cabot, Fernando Gómez-Romano, Ignacio Ayestarán, Asunción Colomar, Alexandre Palou-Rotger, Jesús Oteo-Iglesias and 5 more

Abstract read
In one paragraph

Article in EBioMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Antimicrobial agents and chemotherapy · 2026
    Article
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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

15 authors.

Sara Cortes-LaraServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Paola Medina-ReatigaServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Ester Del Barrio-TofiñoServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
María A Gomis-FontServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Gabriel CabotServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Fernando Gómez-RomanoServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Ignacio AyestaránServicio de Medicina Intensiva, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Asunción ColomarServicio de Medicina Intensiva, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain.
Alexandre Palou-RotgerServicio de Neumología, Hospital Universitario Son Espases, IdISBa, Palma de Mallorca, Spain.
Jesús Oteo-IglesiasLaboratorio de Referencia en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain.
Rosa Del CampoServicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), CIBERINFEC, Madrid, Spain.
Rafael CantónServicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), CIBERINFEC, Madrid, Spain.
Juan P HorcajadaServicio de Enfermedades Infecciosas, Hospital del Mar, Hospital del Mar Research Institute, Universitat Pompeu Fabra (UPF) Barcelona, Spain. CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain.
Carla López-CausapéServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain. Electronic address: carla.lopez@ssib.es.
Antonio OliverServicio de Microbiología, Hospital Universitario Son Espases, IdISBa, CIBERINFEC, Palma de Mallorca, Spain. Electronic address: antonio.oliver@ssib.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudomonas aeruginosa is a major cause of hospital-acquired and chronic infections, characterised by an extraordinary capacity to develop antimicrobial resistance through the selection of chromosomal mutations, leading to treatment failure. Here, we designed and tested a hybridisation-based capture system for the enrichment of genes of interest before sequencing to monitor resistant populations genomics directly from clinical samples.

methodsA panel for enrichment before sequencing of close to 200 genes related to P. aeruginosa antimicrobial resistance, multilocus sequence typing, mutability or virulence was designed, synthesised (KAPA HyperCap, Roche) and initially validated in vitro using a multidrug-resistant ST175 isolate and representative isolates from major P. aeruginosa clades. In vivo testing included ventilator associated pneumonia by MDR P. aeruginosa in ICU (3-10 sequential samples from 3 patients) and chronic respiratory infection by hypermutable P. aeruginosa in cystic fibrosis (8 sequential samples from a single patient covering a 4-year period). Results from direct sequencing with the enrichment panel were compared with those of whole genome sequencing (WGS) and phenotypic profiling of 10 isolated colonies per sample.

findingsIn vitro assays confirmed the selectivity of the enrichment panel and the correct identification of the vast mutational resistome of ST175, including specific mutations even when introduced in a 1:100 proportion. In vivo performance was at least equivalent to sequencing 10 colonies per sample, including the accurate identification of the sequence types and the basal and acquired mutational resistome. To note, specific resistance mutations, such as those in ampC leading to resistance to novel β-lactams, could be traced even at frequencies of 1%. Moreover, the coselection of mutator populations and antibiotic resistance mutations, predicted in theoretical and in vitro studies, was evidenced in vivo.

interpretationThis proof-of-concept study demonstrates that resistance genomics of P. aeruginosa can be analysed directly from clinical samples, determining not only a considerable reduction in turnaround time and cost from a diagnostics perspective, but also an unprecedented potency for accurate monitoring of in vivo population dynamics in bacterial infections.

fundingInstituto de Salud Carlos III, Ministerio de Ciencia e Innovación and Unión Europea-NextGenerationEU.

Indexed as

MutationPseudomonas aeruginosaPseudomonas InfectionsAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialHigh-Throughput Nucleotide SequencingHumansMicrobial Sensitivity TestsMultilocus Sequence TypingWhole Genome SequencingAnti-Bacterial AgentsAntimicrobial resistance developmentChronic infectionsCystic fibrosisNosocomial infectionsPseudomonas aeruginosaResistome

Identifiers

PMID39332391
PMCPMC11467565

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.