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Cited by 381

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Exploiting the potential of insects for in vivo pathogenicity testing of microbial pathogens

Kavanagh, Kevin, Reeves, Emer P.·2004·FEMS Microbiology Reviews

Abstract

Conventional assays for quantifying the virulence of microbial pathogens and mutants have traditionally relied upon the use of a range of mammalian species. A number of workers have demonstrated that insects can be used for evaluating microbial pathogenicity and provide results comparable to those that can be obtained with mammals since one component of the vertebrate immune system, the innate immune response, remains similar to that found in insects. Larvae of the Greater Wax Moth Galleria mellonella have been used to evaluate the virulence of a range of bacterial and fungal pathogens and a correlation with the virulence of these microbes in mice has been established. This review highlights the similarities of the vertebrate and insect innate immune responses to infection and identifies the potential use of insects for the in vivo evaluation of the microbial pathogenicity.

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Metadata

Authors
Kavanagh, K., & Reeves, E. P.
Venue
FEMS Microbiology Reviews
Published
2004-02
Volume
28
Issue
1
Pages
101-112
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W2141905703
Cited by
381
References
5
FWCI
1.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exploiting the potential of insects for in vivo pathogenicity testing of microbial pathogens. https://app.cochat.ai/papers/10.1016/j.femsre.2003.09.002
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Kavanagh, K., & Reeves, E. P. (2004). Exploiting the potential of insects for in vivo pathogenicity testing of microbial pathogens. FEMS Microbiology Reviews. https://doi.org/10.1016/j.femsre.2003.09.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.