Galleria mellonella as an Antimicrobial Screening Model.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
11 Oct 2024
Historique:
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: epublish

Résumé

To combat the rising global issue of antibiotic resistance, the accelerated development of novel antibiotics is essential. Current preclinical antimicrobial development yields a significant number of leads that prove unsuitable either prior to or during clinical trials. To increase the efficiency of preclinical development, relevant, standardized, accessible, and cost-effective models must be developed. Galleria mellonella (greater wax moth) larvae are widely used as an infection model to assess microbial virulence, conduct drug toxicity testing, and serve as a preliminary means of evaluating the in vivo efficacy of novel antimicrobial compounds. These infection models have greater biological relevance than many in vitro screens of comparable throughput and decrease reliance on mammalian models when used as a pre-screen for antimicrobial testing. This protocol describes a standardized methodology for the optimization of G. mellonella infection models, which can be applied to bacterial species and antimicrobial therapeutics of choice. Using the WHO priority pathogen Pseudomonas aeruginosa as an exemplar, we outline steps that can be undertaken to develop a reproducible model of infection and therapeutic testing. This includes recommendations on experimental setup, sample preparation, and infection and treatment protocols. Integration of this model within preclinical antimicrobial development pipelines would decrease reliance on mammalian models, reduce the number of ineffective compounds reaching clinical trials, and ultimately increase the efficiency of preclinical antimicrobial development.

Identifiants

pubmed: 39465915
doi: 10.3791/67210
doi:

Substances chimiques

Anti-Bacterial Agents 0
Anti-Infective Agents 0

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Thomas E Barton (TE)

Division of Molecular Microbiology, School of Life Sciences, University of Dundee; 2598559@dundee.ac.uk.

Liberty Duignan (L)

Department of Clinical Infection, Microbiology and Immunology, University of Liverpool.

Aras Kadioglu (A)

Department of Clinical Infection, Microbiology and Immunology, University of Liverpool.

Joanne L Fothergill (JL)

Department of Clinical Infection, Microbiology and Immunology, University of Liverpool.

Daniel R Neill (DR)

Division of Molecular Microbiology, School of Life Sciences, University of Dundee.

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Classifications MeSH