Host–microbial interactions differ with age of asthma onset
Year: 2024
Type: article
Study design: Observational Study
Abstract: Extract Asthma is a heterogenous disease [1] and dichotomisation between childhood/early-onset (EO) and adult/late-onset (LO) disease [2] identified differences in lung function decline and response to anti-inflammatory therapies, including biologics [3]. This suggests distinct inflammatory mechanisms underpin EO and LO asthma. In parallel, a relationship exists between airway neutrophilia and the airway microbiome [4, 5]. We postulate that differences in host–microbial interactions are associated with the age of asthma onset and would be maintained over time. Here, we applied a recently described machine learning framework, sparse canonical correlation analysis (Sparse-CCA) [6], to identify differences in host–microbial interactions in the airways of EO and LO asthma.
Source: European Respiratory Journal
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: AstraZeneca, Sanofi, Chiesi Farmaceutici, CSL Behring, European Respiratory Society, European Federation of Pharmaceutical Industries and Associations, UK Research and Innovation, INOVIO Pharmaceuticals, Celltrion, National Institute for Health and Care Research, Imperial College London, European Commission, Shionogi, Innovative Medicines Initiative, Medical Research Council, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, National Medical Research Council, National Institute of Environmental Health Sciences
OpenAlex ID: W4401979118