Advanced Diagnostic Methods for Nontuberculous Mycobacterial Infections

Abstract

Non-tuberculosis mycobacteria (NTM) represent an increasingly significant cause of pulmonary and extrapulmonary infections, sometimes misinterpreted as tuberculosis (TB) owing to overlapping clinical and microbiological characteristics. Conventional diagnostic approaches such as Ziehl-Neelsen staining and culture in Mycobacterial Growth Indicator Tube (MGIT) system, are constrained by extended incubation times and are still insufficient for accurate species differentiation and are limited by prolonged incubation periods. Recent molecular and genomic advance have transformed NTM diagnostics by enabling rapid, specific and high-resolution identification. Line probe assay (e.g, Genotype Mycobacterium CM/AS) and multiplex PCR have enhanced the ability to distinguish between NTM species such as Mycobacterium absessus, M. fortuitum, and M. avium complex and M. tuberculosis complex which is essential for proper treatment and epidemiological mapping. Among newer proteomic platform, Matrix-Assisted Laser Desorption/Ionization – Time-Of-Flight (MALDI-TOF) mass spectrometry has emerged as a transformative, cost-effective technology capable of identifying Mycobacterium species directly from culture isolates through protein fingerprinting. It provides rapid, reproducible, and highly discriminatory identification between closely related species. Next-generation sequencing (NGS) and whole genome sequencing (WGS) approaches now offer unprecedented insight into species identification, strain typing, and drug-resistance prediction, complementing traditional culture-based susceptibility testing. Newer techniques such as metagenomics NGS (mNGS), targeted NGS (tNGS) multilocus sequence typing (MLST), and Mycobacterial Interspersed Repetitive Unit-Variable Number of Tandem Repeats (MIRU-VNTR) genotyping facilitate subspecies-level resolution and real time outbreak surveillance. Moreover, molecular beacons, insertion sequence (IS) analysis, and repetitive sequence-based polymerase chain reaction (Rep-PCR) enhance detection sensitivity even in paucibacillary samples. The integration of genomic data with automated diagnostic system promises earlier intervention, accurate species delineation, and improved patient outcome.