WHO Collaborating Centre for Gonorrhoea and Other STIs, National Reference Laboratory for STIs, Department of Laboratory Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Expert Rev Mol Diagn. 2022 Jan;22(1):29-48. doi: 10.1080/14737159.2022.2015329.
Several nucleic acid amplification tests (NAATs), mostly PCRs, to detect antimicrobial resistance (AMR) determinants and predict AMR in are promising, and some may be ready to apply at the point-of-care (POC), but important limitations remain with NAATs. Next-generation sequencing (NGS) can overcome many of these limitations.
Recent advances, with main focus on publications since 2017, in the development and use of NAATs and NGS to predict gonococcal AMR for surveillance and clinical use, and the pros and cons of these tests as well as future perspectives for appropriate use of molecular AMR prediction for gonococci.
NAATs and/or NGS for AMR prediction should supplement culture-based AMR surveillance, which will remain because it also detects AMR due to unknown AMR determinants, and translation into POC tests is imperative for the end-goal of individualized treatment, sparing ceftriaxone ± azithromycin. Several challenges for direct testing of clinical, especially pharyngeal, specimens and for accurate prediction of cephalosporins and azithromycin resistance, especially using NAATs, remain. The choice of AMR prediction assay needs to carefully consider the intended use of the assay; limitations intrinsic to the AMR prediction technology, algorithms specific to the chosen methodology; specimen types analyzed; and cost-effectiveness.
有几种核酸扩增检测(NAAT),主要是 PCR,可用于检测抗生素耐药性(AMR)决定因素并预测 淋病奈瑟菌 的 AMR,其中一些方法可能已准备好在即时检测(POC)中应用,但 NAAT 仍存在重要限制。下一代测序(NGS)可以克服许多这些限制。
本文主要关注自 2017 年以来 NAAT 和 NGS 在预测淋球菌 AMR 以进行监测和临床应用方面的最新进展,以及这些检测方法的优缺点,以及未来适当使用分子 AMR 预测淋病奈瑟菌的前景。
AMR 预测的 NAAT 和/或 NGS 应补充基于培养的 AMR 监测,因为后者仍然可以检测到未知 AMR 决定因素引起的 AMR,并且将其转化为 POC 检测对于个体化治疗的最终目标至关重要,可避免使用头孢曲松 ± 阿奇霉素。目前仍然存在一些挑战,包括直接检测临床标本(特别是咽拭子)和准确预测头孢菌素和阿奇霉素耐药性的问题,尤其是使用 NAAT 时。选择 AMR 预测检测方法需要仔细考虑检测方法的预期用途;AMR 预测技术固有的限制;所选方法特有的算法;分析的标本类型;以及成本效益。