Evidence map›Paper›PMID 28827526›Full record

ArticleScientific reports2017

Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer.

Michelle Baker, David Negus, Dhaarini Raghunathan, Paul Radford, Chris Moore, Gemma Clark, Mathew Diggle, Jess Tyson, Jamie Twycross, R Elizabeth Sockett

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Novel Isolate ofAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Dual Predation by Bacteriophage andJournal of bacteriology · 2020
    Article
  19. The antibiotic crisis: How bacterial predators can help.Computational and structural biotechnology journal · 2020
    Review
  20. 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

10 authors.

Michelle BakerSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
David NegusSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Dhaarini RaghunathanSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Paul RadfordSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Chris MooreSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Gemma ClarkEmpath Pathology Services Reception Floor A, West Block, Queens Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK.
Mathew DiggleEmpath Pathology Services Reception Floor A, West Block, Queens Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK.
Jess TysonSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Jamie TwycrossSchool of Computer Science, Jubilee Campus, University of Nottingham, Wollaton Road, Nottingham, NG8 1BB, UK.
R Elizabeth SockettSchool of Life Sciences, University of Nottingham, Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK. liz.sockett@nottingham.ac.uk.ORCID 0000-0002-6271-2674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In worldwide conditions of increasingly antibiotic-resistant hospital infections, it is important to research alternative therapies. Bdellovibrio bacteriovorus bacteria naturally prey on Gram-negative pathogens, including antibiotic-resistant strains and so B. bacteriovorus have been proposed as "living antibiotics" to combat antimicrobially-resistant pathogens. Predator-prey interactions are complex and can be altered by environmental components. To be effective B. bacteriovorus predation needs to work in human body fluids such as serum where predation dynamics may differ to that studied in laboratory media. Here we combine mathematical modelling and lab experimentation to investigate the predation of an important carbapenem-resistant human pathogen, Klebsiella pneumoniae, by B. bacteriovorus in human serum versus buffer. We show experimentally that B. bacteriovorus is able to reduce prey numbers in each environment, on different timescales. Our mathematical model captures the underlying dynamics of the experimentation, including an initial predation-delay at the predator-prey-serum interface. Our research shows differences between predation in buffer and serum and highlights both the potential and limitations of B. bacteriovorus acting therapeutically against K. pneumoniae in serum, informing future research into the medicinal behaviours and dosing of this living antibacterial.

Indexed as

AlgorithmsModels, BiologicalAntibiosisBacterial LoadBacteriological TechniquesBdellovibrio bacteriovorusBuffersCulture MediaHumansKlebsiella pneumoniaeMaleMicrobial ViabilityMicroscopy, FluorescenceSerumBuffersCulture Media

Identifiers

PMID28827526
PMCPMC5567095

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.