Rapid identification of major Mycobacterium species by loop-mediated isothermal amplification assay using novel species-specific genomic targets

作者
Yuanwu Zou,Zhuo Wang,Zihan Wei,Guanghong Bai,Xiaolin Wang,Shaoyi Qu,Guowei Zhong,Yanbin Gao
出处
期刊:Frontiers in Cellular and Infection Microbiology [Frontiers Media]
卷期号:15: 1653602-1653602 被引量:3
标识
DOI:10.3389/fcimb.2025.1653602
摘要

Background Rapid and precise identification of Mycobacterium species is critical for appropriate clinical management and epidemiological surveillance. However, conventional methods often fail to differentiate closely related nontuberculous mycobacteria (NTM) species, limiting their clinical utility. Methods We developed a multiplex loop-mediated isothermal amplification (LAMP) assay targeting newly identified species-specific genomic markers for simultaneous detection of Mycobacterium tuberculosis complex (MTBC) and six clinically important NTM species. Analytical performance was assessed using serial dilutions of bacterial cultures and 36 reference strains. Clinical validation was performed on 52 cultured isolates and 349 sputum samples, compared to GeneXpert MTB/RIF and a commercial PCR-reverse dot blot assay. Results The assay showed high analytical sensitivity, with limits of detection ranging from 76.013 CFU/mL (95% CI: 60.329-113.924 CFU/mL) for MTBC to 166.602-690.629 CFU/mL for NTM species. All reference strains were correctly identified with no cross-reactivity. Among the clinical isolates, all targeted species were accurately detected. One isolate misidentified as M. abscessus by an ITS-based assay was confirmed by sequencing to be M. massiliense, demonstrating the assay’s superior discriminatory capacity. For sputum samples, the assay achieved 90.32% sensitivity and 97.55% specificity for MTBC, with an overall agreement of 93.70% (κ = 0.8740). Conclusion This multiplex LAMP assay offers a rapid, accurate, and field-deployable tool for species-level identification of MTBC and major NTM pathogens. Its simplicity, stability, and compatibility with low-resource settings support its application in routine diagnostics and decentralized tuberculosis programs.

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