ArticleAllergy2024
Species-level, metagenomic and proteomic analysis of microbe-immune interactions in severe asthma.
Article in Allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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.
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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bacteria of the lung microbiome and health biomarkers in chronic airway disease: a systematic review and meta-analysis.NPJ biofilms and microbiomes · 2026Pooled it
- Article
- Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026Review
- The Nasal Microbiome and Associations With Environmental Exposures and Respiratory Health.Allergy · 2026Article
- Triggering mechanisms of acute thunderstorm asthma: epithelial barrier disruption and immune dysregulation.Respiratory research · 2026Review
- Association of Childhood Asthma with the Concept of Exposomics: A Short Review.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Effects of azithromycin in severe eosinophilic asthma with concomitant monoclonal antibody treatment.Thorax · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundThe airway microbiome in severe asthma has not been characterised at species-level by metagenomic sequencing, nor have the relationships between specific species and mucosal immune responses in 'type-2 low', neutrophilic asthma been defined. We performed an integrated species-level metagenomic data with inflammatory mediators to characterise prevalence of dominant potentially pathogenic organisms and host immune responses.
methodsSputum and nasal lavage samples were analysed using long-read metagenomic sequencing with Nanopore and qPCR in two cross-sectional adult severe asthma cohorts, Wessex (n = 66) and Oxford (n = 30). We integrated species-level data with clinical parameters and 39 selected airway proteins measured by immunoassay and O-link.
resultsThe sputum microbiome in health and mild asthma displayed comparable microbial diversity. By contrast, 23% (19/81) of severe asthma microbiomes were dominated by a single respiratory pathogen, namely H. influenzae (n = 10), M. catarrhalis (n = 4), S. pneumoniae (n = 4) and P. aeruginosa (n = 1). Neutrophilic asthma was associated with H. influenzae, M. catarrhalis, S. pneumoniae and T. whipplei with elevated type-1 cytokines and proteases; eosinophilic asthma with higher M. catarrhalis, but lower H. influenzae, and S. pneumoniae abundance. H. influenzae load correlated with Eosinophil Cationic Protein, elastase and IL-10. R. mucilaginosa associated positively with IL-6 and negatively with FGF. Bayesian network analysis also revealed close and distinct relationships of H. influenzae and M. catarrhalis with type-1 airway inflammation. The microbiomes and cytokine milieu were distinct between upper and lower airways.
conclusionsThis species-level integrated analysis reveals central, but distinct associations between potentially pathogenic bacteria and airways inflammation in severe asthma.
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