ArticleBioengineered2021
Characteristics of the lung microbiota in lower respiratory tract infections with and without history of pneumonia.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- 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
- Respiratory dysbiosis as prognostic biomarker of disease severity for adults with community-acquired pneumonia requiring mechanical ventilation.Pneumonia (Nathan Qld.) · 2025Article
- Exploring the pathogen diagnosis and prognostic factors of severe COVID-19 using metagenomic next-generation sequencing: A retrospective study.Journal of medical biochemistry · 2024Article
- Ratio of procalcitonin/Simpson's dominance index predicted the short-term prognosis of patients with severe bacterial pneumonia.Frontiers in cellular and infection microbiology · 2023Article
- Characteristics of the pulmonary microbiota in patients with mild and severe pulmonary infection.Frontiers in cellular and infection microbiology · 2023Article
- Microbial communities of the upper respiratory tract in mild and severe COVID-19 patients: a possible link with the disease course.Frontiers in microbiomes · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung microbiota plays an important role in many diseases including lower respiratory tract infections (LRTI) and pneumonia. This study aimed to explore the effects of community-acquired pneumonia (CAP) on microbial diversity and identify potential biomarkers of respiratory tract in CAP LRTI patients. In the current study, a comprehensive bioinformatics analysis was performed based on metagenomic next-generation sequencing technology, followed by alpha and beta diversity, LEfSe, and co-occurrence network analysis, and random forest model construction. Our results showed that CAP dramatically influenced taxon abundance, and the significant differences in microbiota including
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Registered trials
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