D L Sánchez-Hevia, N Fatsis-Kavalopoulos, D I Andersson
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引用次数: 0
Abstract
Antibiotic resistance is a global concern with significant implications for healthcare, food production, and the environment. Therapies involving antibiotic combinations are frequently employed as a strategy to overcome antibiotic resistance. When present in combination, the efficacy of antibiotics may be enhanced or weakened, and as antibiotic interactions are a priori generally unpredictable, they need to be experimentally determined. Though antibiotics are regularly present at sublethal concentrations (e.g., in patients with suboptimal dosing regimens, late after the last dosage, difficult-to-penetrate tissues, and also in the natural environment), effects of antibiotic combinations are generally studied at lethal dosages. To address this, we developed the sublethal interaction factor (SIF) assay, based on the Bliss independence model, to quantify antibiotic combination effects at sublethal concentrations. SIF assay uses the whole growth curve, instead of only the growth rate, and determines reliably the outcome of the interaction between two antibiotics at sublethal concentrations. The SIF method was validated against the CombiANT assay and showed high sensitivity and specificity, attesting to its usability.IMPORTANCESublethal interaction factor (SIF), a method herein proposed, simplifies the analysis of antibiotic interactions at sub-inhibitory concentrations and shows a high correlation with the fractional inhibitory concentration index (FICi), the gold-standard measure used to classify antibiotic interactions when tested at lethal concentrations. The SIF can be easily incorporated into laboratories and has great potential for studying not only antibiotic combinations but also drug interactions and phage therapy.
期刊介绍:
Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.