Zhang Lulu, Yu Xia, Zhang Chi, Zhang Xin, Huang Hairong, 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 102629, P. R. China.
Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102629, P. R. China.
Anal Chem. 2025 Jan 14;97(1):281-289. doi: 10.1021/acs.analchem.4c04166. Epub 2024 Dec 21.
The great variety of antimicrobial resistance (AMR) profiles among tuberculosis (TB) patients necessitates a comprehensive detection method. This study developed culture-independent, long amplicon-based targeted next-generation sequencing (tNGS) methods for predicting AMR across 16 drugs within the complex (MTBC). Multiplex PCR amplification was employed to enrich 20 gene regions, with sequencing performed on either the Oxford Nanopore Technologies (ONT) or Illumina platforms. Customized bioinformatics pipelines provide a streamlined process from raw data to clinician-friendly reports. The ONT tNGS method has been optimized, and its performance has been thoroughly evaluated, utilizing Q20+ chemistry in combination with the R10.4.1 flow cell. It requires only 15 high-quality reads per target gene to accurately identify all variants, with the turnaround time taking 4 h and 50 min. Studies confirmed that this method effectively identifies species and was highly resistant to interference from other clinical pathogens. To ensure optimal coverage, it is recommended to input at least 500 copies of the genome and sequence 500MB of high-quality FASTQ data. Diagnostic performance evaluations demonstrate that this method achieves 98.35% concordance with phenotypic drug susceptibility testing (pDST) and is consistent with the results obtained from Xpert MTB/RIF assays. The design of long amplicons not only ensures comprehensive coverage of target regions but also simplifies primer design, facilitating compatibility with various sequencing platforms. Compared with previous studies, the optimized ONT tNGS method in this study significantly improves turnaround time, detection accuracy, and the comprehensive coverage of mutations associated with AMR.
结核病(TB)患者中抗菌药物耐药性(AMR)谱的多样性使得需要一种全面的检测方法。本研究开发了基于长扩增子的非培养靶向新一代测序(tNGS)方法,用于预测结核分枝杆菌复合群(MTBC)内16种药物的AMR。采用多重PCR扩增富集20个基因区域,在牛津纳米孔技术(ONT)或Illumina平台上进行测序。定制的生物信息学流程提供了从原始数据到临床医生友好报告的简化过程。ONT tNGS方法已经优化,并利用Q20+化学与R10.4.1流动槽相结合对其性能进行了全面评估。每个靶基因仅需15条高质量读数即可准确识别所有变体,周转时间为4小时50分钟。研究证实,该方法能有效鉴定结核分枝杆菌复合群,并对其他临床病原体的干扰具有高度抗性。为确保最佳覆盖范围,建议输入至少500个基因组拷贝并对500MB高质量FASTQ数据进行测序。诊断性能评估表明,该方法与表型药物敏感性试验(pDST)的一致性达到98.35%,与Xpert MTB/RIF检测结果一致。长扩增子的设计不仅确保了靶区域的全面覆盖,还简化了引物设计,便于与各种测序平台兼容。与以往研究相比,本研究中优化的ONT tNGS方法显著提高了周转时间、检测准确性以及与AMR相关突变的全面覆盖范围。