University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
Case Western Reserve University, Department of Pathology, Cleveland, Ohio, USA.
J Clin Microbiol. 2018 Aug 27;56(9). doi: 10.1128/JCM.00813-18. Print 2018 Sep.
Whole-genome sequencing of bacterial isolates is increasingly being used to predict antibacterial susceptibility and resistance. Mason and coauthors describe the phenotypic susceptibility interpretations of more than 1,300 isolates tested against a dozen antistaphylococcal agents, and they compared these findings to susceptibility predictions made by analyzing whole-genome sequence data (J Clin Microbiol 56:e01815-17, 2018, https://doi.org/10.1128/JCM.01815-17). The genotype-phenotype susceptibility interpretations correlated in 96.3% (2,720/2,825) of resistant findings and 98.8% (11,504/11,639) of susceptible findings. This work by Mason and colleagues is helping to lower the barriers to using whole-genome sequencing of in clinical microbiology practice.
全基因组测序越来越多地被用于预测抗菌药物的敏感性和耐药性。Mason 及其同事描述了对 1300 多个分离株进行的 12 种抗葡萄球菌药物药敏试验的表型药敏解释，并将这些结果与通过分析全基因组序列数据进行的药敏预测进行了比较（J Clin Microbiol 56:e01815-17, 2018, https://doi.org/10.1128/JCM.01815-17）。基因型-表型药敏解释在 96.3%（2720/2825）耐药发现和 98.8%（11,504/11,639）敏感发现中具有相关性。Mason 及其同事的这项工作有助于降低在临床微生物学实践中使用全基因组测序的障碍。
