Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA 94070, USA.
San Francisco Public Health Laboratories, 101 Grove Street, Room 419, San Francisco, CA 94102, USA.
Int J Mol Sci. 2024 Jul 19;25(14):7909. doi: 10.3390/ijms25147909.
A fully automated bacteria whole genome sequencing (WGS) assay was evaluated to characterize (MTB) and non-tuberculosis (NTM) clinical isolates. The results generated were highly reproducible, with 100% concordance in species and sub-lineage classification and 92% concordance between antimicrobial resistance (AMR) genotypic and phenotypic profiles. Using extracted deoxyribonucleic acid (DNA) from MTB clinical isolates as starting material, these findings demonstrate that a fully automated WGS assay, with a short turnaround time of 24.5 hours, provides timely and valuable insights into MTB outbreak investigation while providing reliable genotypic AMR profiling consistent with traditional antimicrobial susceptibility tests (AST). This study establishes a favorable proposition for the adoption of end-to-end fully automated WGS solutions for decentralized MTB diagnostics, thereby aiding in World Health Organization's (WHO) vision of tuberculosis eradication.
我们评估了一种全自动细菌全基因组测序(WGS)检测方法,以鉴定 (MTB)和非结核分枝杆菌 (NTM)临床分离株。结果具有高度的可重复性,在物种和亚谱系分类方面的符合率为 100%,在抗微生物药物耐药性(AMR)基因型和表型特征方面的符合率为 92%。使用从 MTB 临床分离株中提取的脱氧核糖核酸(DNA)作为起始材料,这些发现表明,全自动 WGS 检测方法具有 24.5 小时的短周转时间,可为 MTB 爆发调查提供及时和有价值的见解,同时提供与传统抗微生物药物敏感性测试(AST)一致的可靠基因型 AMR 分析。这项研究为采用端到端全自动 WGS 解决方案进行分散式 MTB 诊断提供了有利的建议,从而有助于世界卫生组织(WHO)消除结核病的愿景。