Analysis of Lung Microbiota in Pediatric Pneumonia Patients Using BALF Metagenomic Next-generation Sequencing: A Retrospective Observational Study

Overview

Journal Medicine (Baltimore)

Specialty General Medicine

Date 2024 Dec 20

PMID 39705480

Authors

Sukun Lu

Ling Sun

Lijie Cao

Mengchuan Zhao

Yuxin Guo

Mei Li

Suxia Duan

Yu Zhai

Xiaoqing Zhang

Yakun Wang

Wei Gai

Xiaowei Cui

Affiliations

Soon will be listed here.

Abstract

The contribution of the lung microbiota to pneumonia in children of varying severity remains poorly understood. This study utilized metagenomic next-generation sequencing (mNGS) technology to elucidate the characteristics of lung microbiota and their association with disease severity. This retrospective study analyzed bronchoalveolar lavage fluid (BALF) mNGS data of 92 children diagnosed with pneumonia between January 2021 and July 2022. A comparative analysis of the lung microbiota was conducted between the severe pneumonia (SP) (n = 44) and non-severe pneumonia (NSP) (n = 48) groups. Compared to conventional microbiological tests (CMT), mNGS had a higher positivity rate in etiology detection (68% vs 100%). In the NSP group, the predominant type of infection was Mycoplasma pneumoniae single infection, whereas in the SP group, the main type involved a combination of M pneumoniae and bacterial infection. The top 3 identified microbial taxa in both the groups were M pneumoniae, Rothia mucilaginosa, and Schaalia odontolyticus. Although there were no significant differences in the α and β diversity of the lung microbiota between the SP and NSP groups, the abundance of M pneumoniae was higher in the SP group (P = .053). Spearman analysis indicated a highly significant positive correlation between the abundance of Prevotella melaninogenica and M pneumoniae (P < .001). Our analysis identified an association between M pneumoniae infections and disease severity. This study provides a foundation for a better understanding of the pathogenesis of pediatric pneumonia and the relationship between microorganisms.

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