Evidence map›Paper›PMID 25786415›Full record

ArticleDisease models & mechanisms2015

Of mice, flies--and men? Comparing fungal infection models for large-scale screening efforts.

Sascha Brunke, Jessica Quintin, Lydia Kasper, Ilse D Jacobsen, Martin E Richter, Ekkehard Hiller, Tobias Schwarzmüller, Christophe d'Enfert, Karl Kuchler, Steffen Rupp and 2 more

Abstract read
In one paragraph

Article in Disease models & mechanisms, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. The utility ofFrontiers in immunology · 2024
    Review
  4. Pathogens (Basel, Switzerland) · 2023
    Article
  5. UsingVirulence · 2022
    Article
  6. Silencing ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  7. The involvement of theVirulence · 2021
    Article
  8. Review
  9. Review
  10. Article
  11. Frontiers in cellular and infection microbiology · 2021
    Review
  12. Review
  13. Article
  14. CRISPR-Based Genetic Manipulation ofFrontiers in genome editing · 2020
    Review
  15. The Daisho Peptides MediateFrontiers in immunology · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. Standardization ofJournal of fungi (Basel, Switzerland) · 2018
    Review
  20. 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

12 authors.

Sascha BrunkeIntegrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), University Hospital, 07747 Jena, Germany Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, 07745 Jena, Germany sascha.brunke@leibniz-hki.de.
Jessica QuintinEquipe Fondation Recherche Médicale, Unité Propre de Recherche 9022 du Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Moléculaire et Cellulaire (IBMC), Université de Strasbourg, 67084 Strasbourg, France.
Lydia KasperDepartment of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, 07745 Jena, Germany.
Ilse D JacobsenResearch Group Microbial Immunology, Hans Knöll Institute, 07745 Jena, Germany Friedrich Schiller University, 07743 Jena, Germany.
Martin E RichterIntegrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), University Hospital, 07747 Jena, Germany Institute for Clinical Chemistry and Laboratory Medicine, Jena University Hospital, 07747 Jena, Germany.
Ekkehard HillerDepartment of Molecular Biotechnology, Fraunhofer Institute for Interfacial Engineering and Biotechnology, 70569 Stuttgart, Germany.
Tobias SchwarzmüllerDepartment of Medical Biochemistry, Max F. Perutz Laboratories, Medical University Vienna, 1030 Vienna, Austria.
Christophe d'EnfertInstitut Pasteur, Unité Biologie et Pathogénicité Fongiques, Département Génomes et Génétique, 75015 Paris, France INRA, USC2019, 75015 Paris, France.
Karl KuchlerDepartment of Medical Biochemistry, Max F. Perutz Laboratories, Medical University Vienna, 1030 Vienna, Austria.
Steffen RuppDepartment of Molecular Biotechnology, Fraunhofer Institute for Interfacial Engineering and Biotechnology, 70569 Stuttgart, Germany.
Bernhard HubeIntegrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), University Hospital, 07747 Jena, Germany Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, 07745 Jena, Germany Friedrich Schiller University, 07743 Jena, Germany.
Dominique FerrandonEquipe Fondation Recherche Médicale, Unité Propre de Recherche 9022 du Centre National de la Recherche Scientifique (CNRS), Institut de Biologie Moléculaire et Cellulaire (IBMC), Université de Strasbourg, 67084 Strasbourg, France.

Funding

Austrian Science Fund FWF I 746
6 · The paper itself

Abstract

Studying infectious diseases requires suitable hosts for experimental in vivo infections. Recent years have seen the advent of many alternatives to murine infection models. However, the use of non-mammalian models is still controversial because it is often unclear how well findings from these systems predict virulence potential in humans or other mammals. Here, we compare the commonly used models, fruit fly and mouse (representing invertebrate and mammalian hosts), for their similarities and degree of correlation upon infection with a library of mutants of an important fungal pathogen, the yeast Candida glabrata. Using two indices, for fly survival time and for mouse fungal burden in specific organs, we show a good agreement between the models. We provide a suitable predictive model for estimating the virulence potential of C. glabrata mutants in the mouse from fly survival data. As examples, we found cell wall integrity mutants attenuated in flies, and mutants of a MAP kinase pathway had defective virulence in flies and reduced relative pathogen fitness in mice. In addition, mutants with strongly reduced in vitro growth generally, but not always, had reduced virulence in flies. Overall, we demonstrate that surveying Drosophila survival after infection is a suitable model to predict the outcome of murine infections, especially for severely attenuated C. glabrata mutants. Pre-screening of mutants in an invertebrate Drosophila model can, thus, provide a good estimate of the probability of finding a strain with reduced microbial burden in the mouse host.

Indexed as

Disease Models, AnimalAnimalsCandida glabrataDrosophila melanogasterGene OntologyHumansLogistic ModelsMaleMiceMutationMycosesOrgan SpecificityPolymerase Chain ReactionVirulenceAlternative infection modelsCandida glabrataDrosophila melanogasterFungal virulence factorsMutant librarySignature-tagged mutagenesis

Identifiers

PMID25786415
PMCPMC4415897

What OpenQuestion holds

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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.