Gu Wentao, Wang Jing, Qin Xiaohua, Duan Meilin, Wang Minggui, Guan Yuanlin, Xu Xiaogang
Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
Department of Research and Development, Hugobiotech Co., Ltd., Beijing 100176, China.
Diagn Microbiol Infect Dis. 2025 Mar;111(3):116720. doi: 10.1016/j.diagmicrobio.2025.116720. Epub 2025 Jan 30.
Rapid identification of causative microbes and their resistance is essential for effective monitoring, treating, and controlling of infectious diseases. Oxford Nanopore Technologies (ONT) is capable of generating and analyzing data in real time, its potential in clinically detecting pathogens and antimicrobial resistance (AMR) genes and subsequently predicting resistance phenotypes needs to be evaluated. In this study, positive blood cultures from 67 patients with bloodstream infection were collected for matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS), ONT next generation sequencing (NGS) with a sequencing time limit of 1 h, and Illumina NGS. Antimicrobial susceptibility test was also performed. ONT NGS achieved 100 % coincidence rate (67/67) with MALDI-TOF-MS and Illumina NGS in pathogen identification, the sensitivity reached 100 %. Both ONT and Illumina NGS detected a high number of AMR genes (584 and 585, respectively). The consistent rate of ONT NGS against Illumina NGS for AMR genes detection reached 91.79 % (537/585). When considering antimicrobial susceptibility test results as the standard to evaluate the prediction value of ONT NGS in detecting AMR genes, ONT NGS showed competitive sensitivity (77.4 % vs 77.3 %), specificity (83.3 % vs 83.7 %), and accuracy (80.4 % vs 80.4 %) with Illumina NGS. Furthermore, the average time cost of ONT NGS (3.5 h) was significantly shorter than Illumina NGS (50.5 h) and MALDI-TOF-MS + antimicrobial susceptibility test (66-96 h). These findings highlight the potential of ONT NGS in rapidly and accurately detecting pathogens and AMR genes in clinical practices, which can assist in predicting resistance phenotypes and subsequently improving the diagnosis and treatment of infectious diseases.
快速鉴定致病微生物及其耐药性对于有效监测、治疗和控制传染病至关重要。牛津纳米孔技术公司(ONT)能够实时生成和分析数据,其在临床检测病原体和抗菌药物耐药性(AMR)基因以及随后预测耐药表型方面的潜力需要评估。在本研究中,收集了67例血流感染患者的阳性血培养物,用于基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)、测序时间限制为1小时的ONT下一代测序(NGS)以及Illumina NGS。还进行了抗菌药物敏感性试验。ONT NGS在病原体鉴定方面与MALDI-TOF-MS和Illumina NGS的符合率达到100%(67/67),灵敏度达到100%。ONT和Illumina NGS均检测到大量AMR基因(分别为584个和585个)。ONT NGS与Illumina NGS在AMR基因检测方面的一致率达到91.79%(537/585)。以抗菌药物敏感性试验结果为标准评估ONT NGS在检测AMR基因方面的预测价值时,ONT NGS与Illumina NGS相比,在敏感性(77.4%对77.3%)、特异性(83.3%对83.7%)和准确性(80.4%对80.4%)方面具有竞争力。此外,ONT NGS的平均时间成本(3.5小时)明显短于Illumina NGS(50.5小时)和MALDI-TOF-MS+抗菌药物敏感性试验(66 - 96小时)。这些发现凸显了ONT NGS在临床实践中快速准确检测病原体和AMR基因的潜力,这有助于预测耐药表型,进而改善传染病的诊断和治疗。