ArticleFrontiers in cellular and infection microbiology2024
Pathogen spectrum and microbiome in lower respiratory tract of patients with different pulmonary diseases based on metagenomic next-generation sequencing.
Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Pathogens and clinical characteristics of type 2 diabetes mellitus in patients with community-acquired pneumonia via bronchoalveolar lavage fluid (BALF) metagenomic next-generation sequencing: a comparative observational study.Journal of thoracic disease · 2026Article
- Differential analysis of the lower respiratory tract microbiota between patients with non-tuberculous mycobacterial pulmonary disease and pulmonary tuberculosis.BMC microbiology · 2026Article
- Metagenomic analysis of human feces reveals gut microbiome role in colorectal cancer.Frontiers in cellular and infection microbiology · 2026Article
- Co-infection withFrontiers in medicine · 2026Review
- Airway microbiota and immunity associated with chronic obstructive pulmonary disease severity.Journal of translational medicine · 2025Article
- Precise pathogen detection and clinical characterization of bronchiectasis.Frontiers in cellular and infection microbiology · 2025Article
- Prevalence of six respiratory pathogens among children in Chengdu, China: a multiplex PCR-based detection study.Frontiers in cellular and infection microbiology · 2025Article
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12 authors.
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Abstract
Introduction: The homeostasis of the microbiome in lower respiratory tract is crucial in sustaining normal physiological functions of the lung. Different pulmonary diseases display varying degrees of microbiome imbalance; however, the specific variability and clinical significance of their microbiomes remain largely unexplored. Methods: In this study, we delineated the pathogen spectrum and commensal microorganisms in the lower respiratory tract of various pulmonary diseases using metagenomic sequencing. We analyzed the disparities and commonalities of the microbial features and examined their correlation with disease characteristics. Results: We observed distinct pathogen profiles and a diversity in lower airway microbiome in patients diagnosed with cancer, interstitial lung disease, bronchiectasis, common pneumonia, Nontuberculous mycobacteria (NTM) pneumonia, and severe pneumonia. Discussion: This study illustrates the utility of Metagenomic Next-generation Sequencing (mNGS) in identifying pathogens and analyzing the lower respiratory microbiome, which is important for understanding the microbiological aspect of pulmonary diseases and essential for their early and precise diagnosis.
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