Characteristics of the pulmonary microbiota in patients with mild and severe pulmonary infection

作者：Danting Zhan, Dan Li, Ke Yuan, Yihua Sun, Lijuan He, Jiacheng Zhong, Lingwei Wang · 发表于：Frontiers in Cellular and Infection Microbiology · 年份：2023 · DOI：10.3389/fcimb.2023.1227581 · 被引用次数：16 · 研究领域：Gut microbiota and health、Respiratory viral infections research、Pneumonia and Respiratory Infections

Background Lung infection is a global health problem associated with high morbidity and mortality and increasing rates of hospitalization. The correlation between pulmonary microecology and infection severity remains unclear. Therefore, the purpose of this study was to investigate the differences in lung microecology and potential biomarkers in patients with mild and severe pulmonary infection. Method Patients with pulmonary infection or suspected infection were divided into the mild group (140 cases) and the severe group (80 cases) according to pneomonia severity index (PSI) scores. Here, we used metagenomic next-generation sequencing (mNGS) to detect DNA mainly from bronchoalveolar lavage fluid (BALF) collected from patients to analyze changes in the lung microbiome of patients with different disease severity. Result We used the mNGS to analyze the pulmonary microecological composition in patients with pulmonary infection. The results of alpha diversity and beta diversity analysis showed that the microbial composition between mild and severe groups was similar on the whole. The dominant bacteria were Acinetobacter , Bacillus , Mycobacterium , Staphylococcus , and Prevotella , among others. Linear discriminant analysis effect size (LEfSe) results showed that there were significant differences in virus composition between the mild and severe patients, especially Simplexvirus and Cytomegalovirus, which were prominent in the severe group. The random forest model screened 14 kin...