Sublethal interaction factor (SIF), a growth-based method to analyze antibiotic combinations at sub-inhibitory concentrations.

IF 3.8 2区 生物学 Q2 MICROBIOLOGY
D L Sánchez-Hevia, N Fatsis-Kavalopoulos, D I Andersson
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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.

亚致死相互作用因子(SIF)是一种基于生长的方法,用于分析亚抑制浓度下的抗生素组合。
抗生素耐药性是全球关注的问题,对医疗保健、食品生产和环境产生重大影响。抗生素联合治疗经常被用作克服抗生素耐药性的策略。当联合使用时,抗生素的疗效可能会增强或减弱,并且由于抗生素的相互作用通常是先验的不可预测的,因此需要通过实验确定。虽然抗生素通常以亚致死浓度存在(例如,在服用次优给药方案的患者中,在最后一次给药后较晚,难以穿透组织,以及在自然环境中),但通常以致死剂量研究抗生素组合的效果。为了解决这个问题,我们基于Bliss独立模型开发了亚致死相互作用因子(SIF)测定,以量化亚致死浓度下的抗生素联合效应。SIF试验使用整个生长曲线,而不仅仅是生长速率,并可靠地确定两种抗生素在亚致死浓度下相互作用的结果。SIF方法与CombiANT试验进行了验证,显示出高灵敏度和特异性,证明了其可用性。本文提出的一种方法亚致死相互作用因子(SIF)简化了亚抑制浓度下抗生素相互作用的分析,并与分数抑制浓度指数(FICi)高度相关,FICi是用于在致死浓度下对抗生素相互作用进行分类的金标准测量。SIF可以很容易地纳入实验室,不仅在研究抗生素组合,而且在药物相互作用和噬菌体治疗方面具有很大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
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.
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