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Sanchez-Hevia, D. L.

Publications and source records attributed to Sanchez-Hevia, D. L..

2 recordsLinked to original sources

SPARK: Systematic Profiling of Antibiotic-Phage Response Kinetics

Phage therapy is, in practice, combination therapy: phage are almost always added to an ongoing antibiotic regimen, yet the combination is rarely designed to have a specific interaction pattern. Interactions can be antagonistic, additive or synergistic and cannot be inferred from either agent alone. Here we introduce SPARK, a method which quantifies phage antibiotic interaction from growth curves as the integrated deviation of observed growth from the growth expected under Bliss independence. We profiled 42 combinations spanning the ESKAPE pathogens and Escherichia coli with twelve antibiotics. We show that i) synergy and antagonism are resolvable within a single high-throughput assay, with the interaction determined by the phage antibiotic bacteria pairing; ii) 21 clinical Staphylococcus aureus isolates differ among themselves as widely as the seven species do; and, iii) interactions change between a few hours and two days, several reversing direction. Overall, SPARK needs only a plate reader and the analysis is performed with a specific openly available web tool.

microbiology↗

Sublethal Interaction Factor (SIF), a growth-based method to analyse antibiotic combinations at sub-inhibitory concentrations.

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 (for example in patients with suboptimal dosing regimens and in the 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 sub-lethal concentrations. The SIF method was validated against checkerboards and CombiANT assays and showed high sensitivity and specificity, attesting to its usability.

microbiology↗