ArticleRespiratory research2019
Airway host-microbiome interactions in chronic obstructive pulmonary disease.
Article in Respiratory research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
97 citing papers in PubMed, 6 syntheses or guidelines pooled it, 152 citations in OpenAlex.
- Bacteria of the lung microbiome and health biomarkers in chronic airway disease: a systematic review and meta-analysis.NPJ biofilms and microbiomes · 2026Pooled it
- Profiling of human lung and gut microbiomes in different conditions of chronic obstructive pulmonary disease using ontology-based evidence synthesis and reasoning.Frontiers in cellular and infection microbiology · 2026Pooled it
- Global research trends and thematic evolution of respiratory microbiota in COPD: a bibliometric study.Frontiers in medicine · 2026Pooled it
- The Role of the Gut and Airway Microbiota in Chronic Rhinosinusitis with Nasal Polyps: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- The alterations of oral, airway and intestine microbiota in chronic obstructive pulmonary disease: a systematic review and meta-analysis.Frontiers in immunology · 2024Pooled it
- Peripheral blood microbial signatures in current and former smokers.Scientific reports · 2021Pooled it
- Assessment of bacterial exposure on phagocytic capability and surface marker expression of sputum macrophages and neutrophils in COPD patients.Clinical and experimental immunology · 2021Trial
- Review
- Review
- Beyond Pathogens: Modulating the Commensal Microbiota to Reshape Immunity for Respiratory Disease Intervention.Pathogens (Basel, Switzerland) · 2026Review
- The Effects of Smoking on Respiratory Microbiota Diversity and Composition: A Systematic Review with Exploratory Meta-Analysis.Microorganisms · 2026Review
- Multi-site microbiomes' response to chronic obstructive pulmonary disease.Microbiology spectrum · 2026Article
- Characteristics of Respiratory Microbiome in COPD-A Literature Review.Advances in respiratory medicine · 2026Review
- Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026Review
- Longitudinal dynamics and site-specific recovery of the human respiratory microbiome following smoking cessation.Respiratory research · 2026Article
- MDPD reveals specific microbial signatures in human pulmonary diseases.Briefings in bioinformatics · 2026Article
- Carriage epidemiology of Moraxella catarrhalis in an all-age community cohort between 2016 and 2018.Access microbiology · 2026Article
- Construction and Validation of a Machine Learning Model Based on Clinical and Microbiomic Features for Predicting High Mucus Secretion in COPD.International journal of chronic obstructive pulmonary disease · 2026Article
- Genomics of host-microbiome interactions in humans.Nature reviews. Genetics · 2026Review
- Induced Sputum Microbial Diversity and Function Changes in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease by Metagenomic Sequencing: A Cross-Sectional Study.International journal of chronic obstructive pulmonary disease · 2026Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLittle is known about the interactions between the lung microbiome and host response in chronic obstructive pulmonary disease (COPD).
methodsWe performed a longitudinal 16S ribosomal RNA gene-based microbiome survey on 101 sputum samples from 16 healthy subjects and 43 COPD patients, along with characterization of host sputum transcriptome and proteome in COPD patients.
resultsDysbiosis of sputum microbiome was observed with significantly increased relative abundance of Moraxella in COPD versus healthy subjects and during COPD exacerbations, and Haemophilus in COPD ex-smokers versus current smokers. Multivariate modeling on sputum microbiome, host transcriptome and proteome profiles revealed that significant associations between Moraxella and Haemophilus, host interferon and pro-inflammatory signaling pathways and neutrophilic inflammation predominated among airway host-microbiome interactions in COPD. While neutrophilia was positively correlated with Haemophilus, interferon signaling was more strongly linked to Moraxella. Moreover, while Haemophilus was significantly associated with host factors both in stable state and during exacerbations, Moraxella-associated host responses were primarily related to exacerbations.
conclusionsOur study highlights a significant airway host-microbiome interplay associated with COPD inflammation and exacerbations. These findings indicate that Haemophilus and Moraxella influence different components of host immune response in COPD, and that novel therapeutic strategies should consider targeting these bacteria and their associated host pathways in COPD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.