Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times.

ABSTRACT: Mass production and use of antibiotics has led to the rise of resistant bacteria, a problem possibly exacerbated by inappropriate and non-optimal application. Antibiotic treatment often follows fixed-dose regimens, with a standard dose of antibiotic administered equally spaced in time. But are such fixed-dose regimens optimal or can alternative regimens be designed to increase efficacy? Yet, few mathematical models have aimed to identify optimal treatments based on biological data of infections inside a living host. In addition, assumptions to make the mathematical models analytically tractable limit the search space of possible treatment regimens (e.g. to fixed-dose treatments). Here, we aimed to address these limitations by using experiments in a Galleria mellonella (insect) model of bac

SUBMITTER: Hoyle A 

PROVIDER: S-EPMC7467302 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature