Unknown

Dataset Information

Unveiling Neonatal Pneumonia Microbiome by High-throughput Sequencing and Droplet Culturomics.


ABSTRACT: Neonatal pneumonia is a leading cause of infant mortality worldwide; however, a lack of microbial profiling, especially of low-abundance species, makes accurate diagnosis challenging. Traditional methods can fail to capture the complexity of the neonatal respiratory microbiota, thereby obscuring its role in disease progression. Here, we describe a novel approach that combines high-throughput sequencing with droplet-based microfluidic cultivation to investigate microbiome shifts in neonates with pneumonia. Using 16S ribosomal RNA (rRNA) gene sequencing of 71 pneumonia cases and 49 controls, we identified 1009 genera, including 930 low-abundance taxa, which showed significant compositional differences between groups. Linear discriminant analysis effect size identified key pneumonia-associate

SUBMITTER: Wang 王则锐 Z 

PROVIDER: S-EPMC12721867 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature