PDF(Pubmed)
Abstract：
Real-time genomics through nanopore sequencing holds the promise of fast antibiotic resistance prediction directly in the clinical setting. However, concerns about the accuracy of genomics-based resistance predictions persist, particularly when compared to traditional, clinically established diagnostic methods. Here, we leverage the case of a multi-drug resistant Klebsiella pneumoniae infection to demonstrate how real-time genomics can enhance the accuracy of antibiotic resistance profiling in complex infection scenarios. Our results show that unlike established diagnostics, nanopore sequencing data analysis can accurately detect low-abundance plasmid-mediated resistance, which often remains undetected by conventional methods. This capability has direct implications for clinical practice, where such \"hidden\" resistance profiles can critically influence treatment decisions. Consequently, the rapid, in situ application of real-time genomics holds significant promise for improving clinical decision-making and patient outcomes.
摘要：
通过纳米孔测序的实时基因组学具有在临床环境中直接快速预测抗生素耐药性的前景。然而,对基于基因组学的耐药性预测的准确性的担忧仍然存在，特别是与传统相比，临床建立的诊断方法。这里,我们利用多药耐药肺炎克雷伯菌感染的案例来证明实时基因组学如何在复杂感染情况下提高抗生素耐药谱的准确性.我们的结果表明，与既定的诊断不同，纳米孔测序数据分析可以准确检测低丰度质粒介导的耐药性，这通常是传统方法检测不到的。这种能力对临床实践有直接影响，其中，这种“隐藏”的抵抗特征会严重影响治疗决策。因此,快速，实时基因组学的原位应用在改善临床决策和患者预后方面具有重要前景.
