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Galleria mellonella, commonly known as the greater wax moth or waxworm, is an insect infection model that provides researchers with an informative, simple, and economically feasible way to test the virulence of bacterial pathogens and potential treatment regimens against them. One such pathogen is Acinetobacter baumannii, a World Health Organization top-priority pathogen and a global health threat. The prevalence of deadly, multidrug-resistant A. baumannii in hospital settings, causing > 100,000 deaths in 2021, makes finding new treatment options paramount. A crucial piece of information needed to help eradicate a bacterial infection using antimicrobial compounds is the minimum inhibitory concentration-the lowest dose of a compound that can clear the infection. This value can be determined initially in vitro but then must be tested in a relevant infection model in vivo.
Using the waxworm infection model and three different strains of A. baumannii-a virulent type strain, a hypervirulent clinical strain, and a virulent environmental strain-we demonstrate how to use minimum inhibitory concentration data to guide initial antibiotic treatment testing. We also compare two assay styles: infection followed by treatment (infect-wait-treat) and infection and treatment together (infect-and-treat). The results, showing similar trends in waxworm survival between both methods, demonstrate that the infect-and-treat protocol can be as informative as the more traditional infect-wait-treat method, with the benefit of saving valuable time and resources.