ArticleThe European respiratory journal2024
Radiomultiomics: quantitative CT clusters of severe asthma associated with multiomics.
Article in The European respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Bronchial Wall T2-Weighted MRI Signal: An Emerging Investigational Non-Ionizing Imaging Biomarker in Severe Asthma.Biomedicines · 2026Article
- Depemokimab: toward biannual biologic therapy for severe eosinophilic asthma.Respiratory research · 2026Review
- Proteomic and Transcriptomic Signatures of Poor Asthma Symptom Control in the U-BIOPRED Cohort.Allergy · 2026Article
- Unsupervised comprehensive CT imaging clusters reveal distinct morphological phenotypes in asthma: insights from two prospective cohorts.Respiratory research · 2026Article
- Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026Review
- Multidisciplinary Recommendations for the Use of Chest CT and Bronchial Biopsy in Severe Asthma: An Expert Consensus Based on Real-World Experience.Journal of asthma and allergy · 2026Article
- Precision Medicine for Asthma: Tailored to its Severity and Endotype/Phenotype.Allergy, asthma & immunology research · 2026Review
- Article
- Quantitative Computed Tomographic Clusters in C-BIOPRED Asthma Cohort: Association with Sputum Proteomics.MedComm · 2025Article
- Addressing Knowledge Gaps in the Early Detection of Bronchiolitis Obliterans Syndrome after Hematopoietic Cell Transplantation: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2025Article
- Advances in noninvasive imaging for detecting radiation-induced lung injury (RILI).International journal of radiation biology · 2025Review
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48 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundLung quantitative computed tomography (qCT) severe asthma clusters have been reported, but their replication and underlying disease mechanisms are unknown. We identified and replicated qCT clusters of severe asthma in two independent asthma cohorts and determined their association with molecular pathways, using radiomultiomics, integrating qCT, multiomics and machine learning/artificial intelligence.
methodsWe used consensus clustering on qCT measurements of airway and lung CT scans, performed in 105 severe asthmatic adults from the U-BIOPRED cohort. The same qCT measurements were used to replicate qCT clusters in a subsample of the ATLANTIS asthma cohort (n=97). We performed integrated enrichment analysis using blood, sputum, bronchial biopsies, bronchial brushings and nasal brushings transcriptomics and blood and sputum proteomics to characterise radiomultiomic-associated clusters (RACs).
resultsqCT clusters and clinical features in U-BIOPRED were replicated in the matched ATLANTIS cohort. In the U-BIOPRED cohort, RAC1 (n=30) was predominantly female with elevated body mass index, mild airflow limitation, decreased CT lung volume and increased lung density and upregulation of the complement pathway. RAC2 (n=34) subjects had airway wall thickness and a mild degree of airflow limitation, with upregulation of proliferative pathways including neurotrophic receptor tyrosine kinase 2/tyrosine kinase receptor B, and downregulation of semaphorin pathways. RAC3 (n=41) showed increased lung attenuation area and air trapping, severe airflow limitation, hyperinflation, and upregulation of cytokine signalling and signalling by interleukin pathways, and matrix metallopeptidase 1, 2 and 9.
conclusionsU-BIOPRED severe asthma qCT clusters were replicated in a matched independent asthmatic cohort and associated with specific molecular pathways. Radiomultiomics might represent a novel strategy to identify new molecular pathways in asthma pathobiology.
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