Department of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji University School of Medicine, Shanghai, China.
J Clin Microbiol. 2021 Jan 21;59(2). doi: 10.1128/JCM.00584-20.
and nontuberculous mycobacterium (NTM) infections often exhibit similar clinical symptoms. Timely and effective treatment relies on the rapid and accurate identification of species and resistance genotypes. In this study, a new platform (GenSeizer), which combines bioinformatics analysis of a large data set and multiplex PCR-based targeted gene sequencing, was developed to identify 10 major species that cause pulmonary, as well as extrapulmonary, human diseases. The simultaneous detection of certain (41) and resistance genotypes in was also feasible. This platform was specific and sensitive and exhibited no cross-reactivity among reference strains and a detection limit of 5 DNA copies or 50 CFU /ml. In a blind comparison, GenSeizer and multigene sequencing showed 100% agreement in the ability to identify 88 clinical isolates. The resistance genotypes, confirmed by whole-genome sequencing of 30 strains, were also correctly identified by GenSeizer 100% of the time. These results indicate that GenSeizer is an efficient, reliable platform for detecting major pathogenic species.
并且非结核分枝杆菌(NTM)感染常表现出相似的临床症状。及时有效的治疗依赖于快速准确地识别物种和耐药基因型。在这项研究中,开发了一种新平台(GenSeizer),它结合了大数据集的生物信息学分析和基于多重 PCR 的靶向基因测序,用于鉴定引起肺部和肺外人类疾病的 10 种主要 物种。还可以同时检测某些(41)和 耐药基因型。该平台具有特异性和敏感性,在参考菌株之间没有交叉反应,检测限为 5 个 DNA 拷贝或 50 CFU/ml。在盲法比较中,GenSeizer 和多基因测序在识别 88 株临床 分离株方面的能力完全一致。通过对 30 株菌的全基因组测序证实的耐药基因型,GenSeizer 也能 100%正确识别。这些结果表明 GenSeizer 是一种用于检测主要致病性 物种的高效、可靠的平台。