Evidence map›Paper›PMID 24498207›Full record

ArticlePloS one2014

Establishment and validation of whole-cell based fluorescence assays to identify anti-mycobacterial compounds using the Acanthamoeba castellanii-Mycobacterium marinum host-pathogen system.

Sébastien Kicka, Valentin Trofimov, Christopher Harrison, Hajer Ouertatani-Sakouhi, John McKinney, Leonardo Scapozza, Hubert Hilbi, Pierre Cosson, Thierry Soldati

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Discovery of anti-infective compounds againstFrontiers in microbiology · 2024
    Article
  2. Article
  3. Article
  4. Microbial warfare in the wild-the impact of protists on the evolution and virulence of bacterial pathogens.International microbiology : the official journal of the Spanish Society for Microbiology · 2021
    Review
  5. Article
  6. Review
  7. Identification of Anti-Frontiers in microbiology · 2020
    Article
  8. Editorial: Amoebae as Host Models to Study the Interaction With Pathogens.Frontiers in cellular and infection microbiology · 2019
    Article
  9. Article
  10. Article
  11. Frontiers in cellular and infection microbiology · 2018
    Review
  12. Review
  13. Review
  14. Eat Prey, Live:Frontiers in immunology · 2017
    Review
  15. Article
  16. Intra-Species and Inter-Kingdom Signaling ofFrontiers in microbiology · 2017
    Review
  17. Article
  18. Untargeted Metabolomics To Ascertain Antibiotic Modes of Action.Antimicrobial agents and chemotherapy · 2016
    Article
  19. 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

9 authors at 3 institutions in 2 countries.

Sébastien KickaDepartment of Biochemistry, University of Geneva, Geneva, Switzerland.
Valentin TrofimovDepartment of Biochemistry, University of Geneva, Geneva, Switzerland.
Christopher HarrisonMax von Pettenkofer Institute, Ludwig Maximilians University, Munich, Germany.
Hajer Ouertatani-SakouhiDepartment of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
John McKinneyGlobal Health Institute, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland.
Leonardo ScapozzaPharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, EPGL, University of Geneva, Switzerland.
Hubert HilbiMax von Pettenkofer Institute, Ludwig Maximilians University, Munich, Germany.
Pierre CossonDepartment of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Thierry SoldatiDepartment of Biochemistry, University of Geneva, Geneva, Switzerland.
University of Geneva · CHLudwig-Maximilians-Universität München · DEÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis is considered to be one of the world's deadliest disease with 2 million deaths each year. The need for new antitubercular drugs is further exacerbated by the emergence of drug-resistance strains. Despite multiple recent efforts, the majority of the hits discovered by traditional target-based screening showed low efficiency in vivo. Therefore, there is heightened demand for whole-cell based approaches directly using host-pathogen systems. The phenotypic host-pathogen assay described here is based on the monitoring of GFP-expressing Mycobacterium marinum during infection of the amoeba Acanthamoeba castellanii. The assay showed straight-forward medium-throughput scalability, robustness and ease of manipulation, demonstrating its qualities as an efficient compound screening system. Validation with a series of known antitubercular compounds highlighted the advantages of the assay in comparison to previously published macrophage-Mycobacterium tuberculosis-based screening systems. Combination with secondary growth assays based on either GFP-expressing D. discoideum or M. marinum allowed us to further fine-tune compound characterization by distinguishing and quantifying growth inhibition, cytotoxic properties and antibiotic activities of the compounds. The simple and relatively low cost system described here is most suitable to detect anti-infective compounds, whether they present antibiotic activities or not, in which case they might exert anti-virulence or host defense boosting activities, both of which are largely overlooked by classical screening approaches.

Indexed as

Anti-Bacterial AgentsAcanthamoeba castellaniiDrug Evaluation, PreclinicalFluorescenceHost-Pathogen InteractionsMycobacterium marinumAnti-Bacterial Agents

Identifiers

PMID24498207
PMCPMC3909256
OpenAlexW2057372923

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.