ArticleFrontiers in cellular and infection microbiology2023
Characteristics of the pulmonary microbiota in patients with mild and severe pulmonary infection.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 15 citations in OpenAlex.
- Differential analysis of the lower respiratory tract microbiota between patients with non-tuberculous mycobacterial pulmonary disease and pulmonary tuberculosis.BMC microbiology · 2026Article
- Comparative analysis of the lung microbiota in patients with lung cancer, chronic obstructive pulmonary disease, and community-acquired pneumonia.Microbiology spectrum · 2026Article
- Dissecting the effect of single- and co-infection of TB and COVID-19 pathogens on the sputum microbiome.Microbiology spectrum · 2026Article
- Characteristics of CD4Journal of intensive medicine · 2026Article
- Airway microbiome dysbiosis in severe pneumonia: metagenomic evidence of pathogen expansion and commensal depletion.European journal of medical research · 2026Article
- Analysis of influencing factors and construction of nomogram prediction model for pulmonary infection in patients with acute exacerbation of chronic obstructive pulmonary disease complicated with type II respiratory failure.Frontiers in medicine · 2026Article
- Comparison of metagenomic next-generation sequencing (mNGS) technology with routine laboratory culture for bacterial and fungal detection in bronchoalveolar lavage fluid.Journal of thoracic disease · 2025Article
- Corynebacterium pseudodiphtheriticum as etiologic agent of human infections worldwide: a review of case reports within the last 40 years (1983-2023).Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025Review
- Characterizations of lung cancer microbiome and exploration of potential microbial risk factors for lung cancer.Scientific reports · 2025Article
- Microbiota and Immunity during Respiratory Infections: Lung and Gut Affair.International journal of molecular sciences · 2024Review
- Article
- Microbial signatures predictive of short-term prognosis in severe pneumonia.Frontiers in cellular and infection microbiology · 2024Article
- Deciphering the microbial landscape of lower respiratory tract infections: insights from metagenomics and machine learning.Frontiers in cellular and infection microbiology · 2024Article
- Genomic characterization and molecular evolution of human monkeypox viruses.Archives of virology · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 Conclusion: Here, we describe the composition and diversity of the pulmonary microbiome in patients with pulmonary infection. A significant increase in viral replication was found in the severe group, as well as a significant difference in microbial interactions between patients with mild and severe lung infections, particularly the association between the common pathogenic bacteria and
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