Evidence map›Paper›PMID 37140371›Full record

ArticleMicrobiology spectrum2023

Laure Verstraete, Juliana Aizawa, Matthias Govaerts, Linda De Vooght, Rob Lavigne, Jan Michiels, Bram Van den Bergh, Paul Cos

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Frontiers in immunology · 2025
    Article
  3. Tracking the progeny of bacterial persisters using a CRISPR-based genomic recorder.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. 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

8 authors at 3 institutions in 1 country.

Laure Verstraete *Centre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-1819-9906
Juliana Aizawa *Laboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-1778-9469
Matthias GovaertsLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-1290-0968
Linda De VooghtLaboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-8425-8601
Rob LavigneLaboratory of Gene Technology, KU Leuven, Leuven, Belgium.ORCID 0000-0001-7377-1314
Jan Michiels *Centre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0001-5829-0897
Bram Van den Bergh *Centre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4429-9780
Paul Cos *Laboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-4361-8911
University of Antwerp · BEVlaams Instituut voor Biotechnologie · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians are increasingly confronted with the limitations of antibiotics to clear bacterial infections in patients. It has long been assumed that only antibiotic resistance plays a pivotal role in this phenomenon. Indeed, the worldwide emergence of antibiotic resistance is considered one of the major health threats of the 21st century. However, the presence of persister cells also has a significant influence on treatment outcomes. These antibiotic-tolerant cells are present in every bacterial population and are the result of the phenotypic switching of normal, antibiotic-sensitive cells. Persister cells complicate current antibiotic therapies and contribute to the development of resistance. In the past, extensive research has been performed to investigate persistence in laboratory settings; however, antibiotic tolerance under conditions that mimic the clinical setting remain poorly understood. In this study, we optimized a mouse model for lung infections with the opportunistic pathogen Pseudomonas aeruginosa. In this model, mice are intratracheally infected with P. aeruginosa embedded in seaweed alginate beads and subsequently treated with tobramycin via nasal droplets. A diverse panel of 18 P. aeruginosa strains originating from environmental, human, and animal clinical sources was selected to assess survival in the animal model. Survival levels were positively correlated with the survival levels determined via time-kill assays, a common method to study persistence in the laboratory. We showed that survival levels are comparable and thus that the classical persister assays are indicative of antibiotic tolerance in a clinical setting. The optimized animal model also enables us to test potential antipersister therapies and study persistence in relevant settings.

Indexed as

Pseudomonas InfectionsStaphylococcal InfectionsAnimalsAnti-Bacterial AgentsEnterobacterHumansLungMicePseudomonas aeruginosaAnti-Bacterial Agentsantibioticsin vivo modelpersistencePseudomonas aeruginosatolerance

Identifiers

PMID37140371
PMCPMC10269860
OpenAlexW4368361357

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.