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Correcting a Fundamental Flaw in the Paradigm for Antimicrobial Susceptibility Testing

机译:纠正抗菌药物敏感性试验范式中的基本缺陷

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摘要

The emergence and prevalence of antibiotic-resistant bacteria are an increasing cause of death worldwide, resulting in a global ‘call to action’ to avoid receding into an era lacking effective antibiotics. Despite the urgency, the healthcare industry still relies on a single in vitro bioassay to determine antibiotic efficacy. This assay fails to incorporate environmental factors normally present during host-pathogen interactions in vivo that significantly impact antibiotic efficacy. Here we report that standard antimicrobial susceptibility testing (AST) failed to detect antibiotics that are in fact effective in vivo; and frequently identified antibiotics that were instead ineffective as further confirmed in mouse models of infection and sepsis. Notably, AST performed in media mimicking host environments succeeded in identifying specific antibiotics that were effective in bacterial clearance and host survival, even though these same antibiotics failed in results using standard test media. Similarly, our revised media further identified antibiotics that were ineffective in vivo despite passing the AST standard for clinical use. Supplementation of AST medium with sodium bicarbonate, an abundant in vivo molecule that stimulates global changes in bacterial structure and gene expression, was found to be an important factor improving the predictive value of AST in the assignment of appropriate therapy. These findings have the potential to improve the means by which antibiotics are developed, tested, and prescribed.
机译:耐药菌的出现和流行是全球范围内越来越多的死亡原因,导致全球采取“行动呼吁”,以避免退回到缺乏有效抗生素的时代。尽管迫切需要,医疗保健行业仍然依靠单个体外生物测定来确定抗生素功效。该测定法无法纳入通常在体内宿主与病原体相互作用期间通常会严重影响抗生素功效的环境因素。在这里,我们报道标准的抗生素敏感性测试(AST)无法检测到实际上在体内有效的抗生素。并经常鉴定出无效的抗生素,正如在感染和败血症的小鼠模型中进一步证实的那样。值得注意的是,在模拟宿主环境的培养基中进行的AST成功地鉴定了对细菌清除和宿主存活有效的特定抗生素,尽管这些相同的抗生素在使用标准测试培养基的结果中均无效。同样,我们经过修订的培养基进一步鉴定了尽管通过了AST标准的临床使用但仍在体内无效的抗生素。已发现向AST培养基中添加碳酸氢钠(一种刺激体内细菌结构和基因表达的整体变化的丰富体内分子)是提高AST在指定适当疗法中的预测价值的重要因素。这些发现可能会改善开发,测试和处方抗生素的手段。

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