Evidence map›Paper›PMID 28277944›Full record

ArticleGut microbes2017

The Galleria mellonella larvae as an in vivo model for evaluation of Shigella virulence.

Shoshana Barnoy, Hanan Gancz, Yuewei Zhu, Cary L Honnold, Daniel V Zurawski, Malabi M Venkatesan

Open access · goldAbstract read
In one paragraph

Article in Gut microbes, 2017. 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
2.0field-weighted citation impact, top 14% 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

35 citing papers in PubMed, 69 citations in OpenAlex.

  1. Indole decreases the virulence of enterotoxigenic Escherichia coli.World journal of microbiology & biotechnology · 2026
    Article
  2. Characterization of the role of putativeJournal of bacteriology · 2026
    Article
  3. Article
  4. High pathogenic potential of Shigella flexneri strains descending from a common ancestor isolated over 34 years in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  5. Frontiers in microbiology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. The in vitro and in vivo effects ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2023
    Article
  10. Article
  11. Review
  12. The VirtuousAntibiotics (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Design of a Bacteriophage Cocktail Active againstAntibiotics (Basel, Switzerland) · 2022
    Article
  16. Article
  17. Article
  18. Antibiotics (Basel, Switzerland) · 2021
    Review
  19. Article
  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

6 authors at 1 institution in 1 country.

Shoshana Barnoya Department of Enteric Infections , Bacterial Diseases Branch (BDB), Walter Reed Army Institute of Research , Silver Spring , Maryland , USA.
Hanan Ganczb Wound Infections Department , BDB, Walter Reed Army Institute of Research , Silver Spring Maryland , USA.
Yuewei Zhua Department of Enteric Infections , Bacterial Diseases Branch (BDB), Walter Reed Army Institute of Research , Silver Spring , Maryland , USA.
Cary L Honnoldc Department of Pathology , Walter Reed Army Institute of Research , Silver Spring , Maryland , USA.
Daniel V Zurawskib Wound Infections Department , BDB, Walter Reed Army Institute of Research , Silver Spring Maryland , USA.ORCID 0000-0002-7920-5601
Malabi M Venkatesana Department of Enteric Infections , Bacterial Diseases Branch (BDB), Walter Reed Army Institute of Research , Silver Spring , Maryland , USA.
Walter Reed Army Institute of Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shigella spp. causing bacterial diarrhea and dysentery are human enteroinvasive bacterial pathogens that are orally transmitted through contaminated food and water and cause bacillary dysentery. Although natural Shigella infections are restricted to humans and primates, several smaller animal models are used to analyze individual steps in pathogenesis. No animal model fully duplicates the human response and sustaining the models requires expensive animals, costly maintenance of animal facilities, veterinary services and approved animal protocols. This study proposes the development of the caterpillar larvae of Galleria mellonella as a simple, inexpensive, informative, and rapid in-vivo model for evaluating virulence and the interaction of Shigella with cells of the insect innate immunity. Virulent Shigella injected through the forelegs causes larvae death. The mortality rates were dependent on the Shigella strain, the infectious dose, and the presence of the virulence plasmid. Wild-type S. flexneri 2a, persisted and replicated within the larvae, resulting in haemocyte cell death, whereas plasmid-cured mutants were rapidly cleared. Histology of the infected larvae in conjunction with fluorescence, immunofluorescence, and transmission electron microscopy indicate that S. flexneri reside within a vacuole of the insect haemocytes that ultrastructurally resembles vacuoles described in studies with mouse and human macrophage cell lines. Some of these bacteria-laden vacuoles had double-membranes characteristic of autophagosomes. These results suggest that G. mellonella larvae can be used as an easy-to-use animal model to understand Shigella pathogenesis that requires none of the time and labor-consuming procedures typical of other systems.

Indexed as

Disease Models, AnimalAnimalsBacterial ProteinsDysentery, BacillaryHumansLarvaMothsShigellaVirulenceBacterial ProteinsGalleria mellonellahaemocytesIpaB mutantShigellavirulence

Identifiers

PMID28277944
PMCPMC5570432
OpenAlexW2588176575

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.