Evidence map›Paper›PMID 38924011›Full record

ArticlePloS one2024

Identification of antibiotic induced persister cells in Streptococcus agalactiae.

Nanna Boll Greve, Hans-Christian Slotved, John Elmerdahl Olsen, Line Elnif Thomsen

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Nanna Boll GreveFaculty of Health and Medical Sciences, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Hans-Christian SlotvedDepartment of Bacteria, Division of Infectious Disease Preparedness, Parasites and Fungi, Statens Serum Institut, Copenhagen S, Denmark.
John Elmerdahl OlsenFaculty of Health and Medical Sciences, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Line Elnif ThomsenFaculty of Health and Medical Sciences, Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark.ORCID 0000-0001-5460-9178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic persistence is a phenomenon, where a small fraction of a bacterial population expresses a phenotypic variation that allows them to survive antibiotic treatment, which is lethal to the rest of the population. These cells are called persisters cells, and their occurrence has been associated with recurrent disease. Streptococcus agalactiae is a human pathobiont, able to cause invasive infections, and recurrent infections have been reported to occur in both newborns and adults. In this study, we demonstrated that S. agalactiae NEM316 can form persister cells when exposed to antibiotics from different classes. The frequency of persister cell formation was dependent on bacterial growth phase and the class of antibiotics. The ability to form persister cells in response to penicillin was shown to be a general trait among different clinical S. agalactiae isolates, independent of sero- and sequence-type. Taken together, this study shows the existence of antibiotic tolerant S. agalactiae persister cells, which may explain why this bacterial species frequently persists after treatment of invasive infection and can be associated with recurrent disease.

Indexed as

Anti-Bacterial AgentsMicrobial Sensitivity TestsStreptococcus agalactiaeDrug Resistance, BacterialHumansPenicillinsStreptococcal InfectionsAnti-Bacterial AgentsPenicillins

Identifiers

PMID38924011
PMCPMC11207178

What OpenQuestion holds

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Registered trials

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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.