Wang Liqin, Li Yamei, Xiu Leshan, Hu Lihua, Huang Jia, Yong Gang, Wang Youwei, Cao Wenling, Yang Yang, Wang Feng, Gu Weiming, Peng Junping
NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Antimicrob Agents Chemother. 2024 Dec 5;68(12):e0116524. doi: 10.1128/aac.01165-24. Epub 2024 Oct 29.
Cephalosporin resistance in has severely compromised the efficacy of World Health Organization (WHO)-recommended therapies. This study aimed to methodologically evaluate the optimized Six-Codon assay, and additionally conducted a multicenter evaluation to assess its clinical application, especially for predicting antimicrobial resistance (AMR). For methodological evaluation, 397 sequence-known isolates were evaluated for specificity, 17 nongonococcal isolates were assessed for cross-reactivity, 159 uncultured urogenital swabs and urine samples were evaluated for sensitivity at the clinical level. For multicenter evaluation, 773 isolates with confirmed phenotypic data and 718 clinical urogenital swabs collected from four geographical cities were, respectively, utilized for the evaluation of AMR-prediction strategies and the clinical application of the assay. The assay accurately identified specific single-nucleotide polymorphisms in resistance-associated genes, the detection limits dropped to 10 copies/reaction for individual targets. The specificity reached 100% and no cross-reactivity occurred with double-target confirmation. The assay could be directly applied to clinical samples containing over 20 copies/reaction. Multicenter evaluation formulated two optimal strategies for decreased susceptibility prediction in specific scenarios, and one tactic for prediction of resistance and identification of FC428-like strains. High sensitivity of 86.84% (95% CI, 71.11-95.05) and specificity of 99.59% (95% CI, 98.71-99.89) for resistance prediction were demonstrated for ceftriaxone (CRO). Regarding identification among multicenter swabs, specificity reached 97.53% (95% CI, 95.49-98.69), and sensitivity reached 93.77% (95% CI, 90.04-96.22). The Six-Codon assay exhibited excellent detection performance and formulated optimal AMR-related prediction strategy with regional adaptability, providing critical information for population screening and clinical treatment.
[病原体名称]中的头孢菌素耐药性严重影响了世界卫生组织(WHO)推荐疗法的疗效。本研究旨在对优化后的六密码子检测法进行方法学评估,并开展多中心评估以评估其临床应用,尤其是用于预测抗菌药物耐药性(AMR)。在方法学评估中,对397株已知序列的[病原体名称]分离株进行特异性评估,对17株非淋菌性分离株进行交叉反应性评估,对159份未培养的泌尿生殖道拭子和尿液样本进行临床水平的敏感性评估。在多中心评估中,分别利用773株具有确认表型数据的分离株和从四个地理区域城市收集的718份临床泌尿生殖道拭子,对AMR预测策略和该检测法的临床应用进行评估。该检测法能准确识别耐药相关基因中的特定单核苷酸多态性,单个靶点的检测限降至10拷贝/反应。特异性达到100%,双靶点确认未出现交叉反应。该检测法可直接应用于每个反应中含20拷贝以上的临床样本。多中心评估制定了两种针对特定情况下敏感性降低预测的优化策略,以及一种预测耐药性和鉴定FC428样菌株的策略。对于头孢曲松(CRO)耐药性预测,显示出86.84%(95%CI,71.11 - 95.05)的高敏感性和99.59%(95%CI,98.71 - 99.89)的特异性。在多中心拭子中进行[病原体名称]鉴定时,特异性达到97.53%(95%CI,95.49 - 98.69),敏感性达到93.77%(95%CI,90.04 - 96.22)。六密码子检测法表现出优异的检测性能,并制定了具有区域适应性的最佳AMR相关预测策略,为人群筛查和临床治疗提供关键信息。