小児呼吸器感染症における上気道・下気道微生物叢を明らかにする統合型マルチプレックスPCRおよびメタトランスクリプトミクス

Despite widespread use of multiple PCR, a substantial proportion of pediatric acute respiratory tract infections (ARTIs) lack identifiable pathogens and are classified as unknown etiology. The microbial characteristics and clinical relevance of these cases remain unclear. In this study, we compared the airway microbiomes of PCR-positive and PCR-negative ARTIs and examined their relationships with sampling site and disease severity. A total of 514 hospitalized children with ARTIs were enrolled. Nasopharyngeal swabs (NS) and bronchoalveolar lavage fluid (BALF) samples were tested using a 22-target multiplex PCR panel and subsequently stratified by pathogen status for pooled metatranscriptomic sequencing to profile active microbial communities, viral genotypes, and antibiotic resistance genes. PCR identified common respiratory pathogens in 77.0% of NS and 54.1% of BALF samples. Metatranscriptomic analysis showed that PCR-negative pools displayed markedly lower viral activity and comparatively higher bacterial transcript abundance, with notable enrichment of Pseudomonas. Microbial signatures differed between upper and lower airway samples and across clinical severity, with severe cases demonstrating increased bacterial burden and Pseudomonas enrichment, whereas mild infections exhibited relatively stronger viral signals. Under current thresholds, antibiotic resistance genes were detected in patient pools but not in healthy controls. Overall, PCR-negative pediatric ARTIs exhibited distinct, bacteria-enriched microbial profiles. Integrating metatranscriptomics with PCR enhances pathogen characterization and reveals site- and severity-related microbial patterns that may support diagnostic evaluation and clinical management.