Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK.
Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK.
Lung. 2023 Apr;201(2):171-179. doi: 10.1007/s00408-023-00612-y. Epub 2023 Apr 2.
Respiratory tract infection (RTI) remains a significant cause of morbidity and mortality across the globe. The optimal management of RTI relies upon timely pathogen identification via evaluation of respiratory samples, a process which utilises traditional culture-based methods to identify offending microorganisms. This process can be slow and often prolongs the use of broad-spectrum antimicrobial therapy, whilst also delaying the introduction of targeted therapy as a result. Nanopore sequencing (NPS) of respiratory samples has recently emerged as a potential diagnostic tool in RTI. NPS can identify pathogens and antimicrobial resistance profiles with greater speed and efficiency than traditional sputum culture-based methods. Increased speed to pathogen identification can improve antimicrobial stewardship by reducing the use of broad-spectrum antibiotic therapy, as well as improving overall clinical outcomes. This new technology is becoming more affordable and accessible, with some NPS platforms requiring minimal sample preparation and laboratory infrastructure. However, questions regarding clinical utility and how best to implement NPS technology within RTI diagnostic pathways remain unanswered. In this review, we introduce NPS as a technology and as a diagnostic tool in RTI in various settings, before discussing the advantages and limitations of NPS, and finally what the future might hold for NPS platforms in RTI diagnostics.
呼吸道感染(RTI)仍然是全球发病率和死亡率的重要原因。RTI 的最佳治疗方法依赖于通过评估呼吸道样本及时确定病原体,该过程利用传统的基于培养的方法来识别致病微生物。这个过程可能很慢,往往会延长广谱抗菌治疗的使用,同时也会因此延迟靶向治疗的引入。呼吸样本的纳米孔测序(NPS)最近成为 RTI 的一种潜在诊断工具。NPS 可以比传统的基于痰培养的方法更快、更有效地识别病原体和抗菌药物耐药性。更快地确定病原体可以通过减少广谱抗生素治疗的使用来改善抗菌药物管理,从而提高整体临床结果。这项新技术变得更加实惠和普及,一些 NPS 平台只需要最少的样本制备和实验室基础设施。然而,关于临床实用性以及如何在 RTI 诊断途径中最好地实施 NPS 技术的问题仍然没有答案。在这篇综述中,我们首先介绍了 NPS 作为 RTI 诊断中的一种技术和诊断工具,然后讨论了 NPS 的优缺点,最后讨论了 NPS 平台在 RTI 诊断中的未来前景。