ArticleFrontiers in cellular and infection microbiology2018
Detection of Pulmonary Infectious Pathogens From Lung Biopsy Tissues by Metagenomic Next-Generation Sequencing.
Article in Frontiers in cellular and infection microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 2 of them syntheses that pooled it.
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Who cites it
162 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis.Scientific reports · 2022Pooled it
- Application of Metagenomic Next-Generation Sequencing inFrontiers in medicine · 2022Pooled it
- The Clinical Impact of Metagenomic Next-Generation Sequencing for the Diagnosis of Periprosthetic Joint Infection.Infection and drug resistance · 2023Trial
- The Value of Combined Radial Endobronchial Ultrasound-Guided Transbronchial Lung Biopsy and Metagenomic Next-Generation Sequencing for Peripheral Pulmonary Infectious Lesions.Canadian respiratory journal · 2020Trial
- Metagenomic next-generation sequencing for tuberculosis diagnosis: enhanced performance and cost-effectiveness.Microbiology spectrum · 2026Observational
- Metagenomic Analysis of Thoracic Empyema Etiology Through Next-Generation Sequencing Enhances Conventional Culture Techniques.Infection & chemotherapy · 2026Article
- Metagenomics profiling of the lower respiratory tract microbiome and relevant respiratory pathogens in pediatric intensive care unit patients: a pilot exploratory study in Egypt.Acute and critical care · 2026Article
- Clinical validation of a novel multiplex real-time PCR for diagnosing community-acquired pneumonia in the emergency department: a promising diagnostic tool forFrontiers in microbiology · 2026Article
- Bronchoalveolar Lavage Microbiota in Critically Ill Patients with Aspiration Pneumonia: An Exploratory Comparison with Community-Acquired Pneumonia and Analysis ofInfection and drug resistance · 2026Article
- Intraoperative sampling for postoperative metagenomic next-generation sequencing to guide biofilm-targeted therapy forFrontiers in cardiovascular medicine · 2026Article
- Article
- Comparative Analysis of Metagenomic Next-Generation Sequencing and Conventional Culture for Pathogen Detection in 218 Patients with Pulmonary Infectious Diseases: A Retrospective Study.Infection and drug resistance · 2026Article
- Severe Rhodococcus equi pneumonia following hepatic arterial infusion chemotherapy combined with sintilimab and lenvatinib in hepatocellular carcinoma: a case report.BMC infectious diseases · 2025Article
- Advances in pathogen detection ofInfectious medicine · 2025Review
- Clinical utility of metagenomic next-generation sequencing (mNGS) and a novel PCR-based point-of-care testing (POCT) for pathogen detection in pulmonary infections: a retrospective study.BMC infectious diseases · 2025Article
- Diagnostic value of metagenomic next-generation sequencing in the etiological diagnosis of lower respiratory tract infection.Scientific reports · 2025Article
- Differences in Non-Pathogenic Lung-Colonizing Bacteria Among Patients with Different Types of Pneumonia: A Retrospective Study.Microorganisms · 2025Article
- Unveiling the Future of Infective Endocarditis Diagnosis: The Transformative Role of Metagenomic Next-Generation Sequencing in Culture-Negative Cases.Journal of epidemiology and global health · 2025Review
- A Pulmonary Abscess Caused by Porphyromonas gingivalis Infection: A Case Report and Literature Review.The clinical respiratory journal · 2025Review
- Application of metagenomic next-generation sequencing in treatment guidance for deep neck space abscess.BMC microbiology · 2025Article
102 more citing papers are in PubMed but not listed here.
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8 authors.
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Abstract
Metagenomic next-generation sequencing (mNGS) is a comprehensive approach for sequence-based identification of pathogenic microbes. However, reports on the use of mNGS in pulmonary infection applied to lung biopsy tissues remain scarce. In this study, we applied mNGS to detect the presence of pathogenic microbes in lung biopsy tissues from 20 patients with pulmonary disorders indicating possible infection. We applied a new data management for identifying pathogen species based on mNGS data. We determined the thresholds for the unique reads and relative abundance required to identify the infectious pathogens. Potential pathogens of pulmonary infections in 15 patients were identified by mNGS. The comparison between mNGS and culture method resulted that the sensitivity and specificity were 100.0% (95% CI: 31.0-100.0%) and 76.5% (95% CI: 49.8-92.2%) for bacteria, 57.1% (95% CI: 20.2-88.2%) and 61.5% (95% CI: 32.2-84.9%) for fungi. The positive predictive value (PPV) (42.9% for bacteria, 44.4% for fungi) was much lower than negative predictive value (NPV) (100% for bacteria, 72.7% for fungi) in mNGS vs. culture method. The mNGS showed the highest specificity (100.0 and 94.1%) and PPV (100.0 and 75.0%) in the evaluation of fungi and MTBC respectively, when compared with histopathology method. The study indicated that mNGS of lung biopsy tissues can be used to detect the presence (or absence) of pulmonary pathogens in patients, with potential benefits in speed and sensitivity. However, accurate data management and interpretation of mNGS are required, and should be combined with observations of clinical manifestations and conventional laboratory-based diagnostic methods.
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