Decoding pulmonary infections through targeted next-generation sequencing: comprehensive pathogen profiling in 999 clinical cases
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background Pulmonary infections remain a major global health challenge, yet conventional microbiological methods frequently fail to identify causative pathogens. Targeted next-generation sequencing (tNGS) enables rapid, multiplexed detection of bacterial, viral, fungal, and atypical pathogens within a single assay. However, large-scale clinical data validating its diagnostic and epidemiologic value remain limited. Methods Pulmonary samples—including sputum, bronchoalveolar lavage fluid (BALF), and throat swabs—were collected from patients with suspected respiratory infections and analyzed using a tNGS assay targeting 153 common pathogens. The diagnostic yield and pathogen spectrum were evaluated, and age-related and clinical-department-specific differences were characterized. Results A total of 999 patients were included in this real-world study. tNGS identified pathogens in 844 (84.5%) cases, revealing a diverse microbial landscape with significant age- and season-specific heterogeneity. Viral pathogens predominated in children, whereas bacterial pathogens, including Mycobacterium tuberculosis , Mycoplasma pneumoniae , and Pseudomonas aeruginosa , were more frequent in adults. Mixed infections were common, detected in 70.5% of positive cases. Conclusion tNGS enables comprehensive and rapid detection of respiratory pathogens, uncovering complex infection patterns that are often missed by conventional methods. Its application in pulmonary samples, including sputum and BALF, provides valuable diagnostic insights and supports precision management of respiratory infections.
Institutions: The University of Melbourne, Peter Doherty Institute
Language: English
Subfield: Clinical Biochemistry
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7161307902