A multi-omics approach to delineate sputum microbiome-associated asthma inflammatory phenotypes Source: Eur Respir J, 59 (1) 2102603; 10.1183/13993003.02603-2021 Year: 2022
A proteomic approach to the progression of COPD: protein expression profile in induced sputum samples Source: Eur Respir J 2006; 28: Suppl. 50, 824s Year: 2006
COPD phenotypes revealed by the integrated sputum microbiome and proteome analysis in COPDMAP cohort Source: International Congress 2019 – Host-microbe interactions in lung disease and exacerbations Year: 2019
A sputum gene expression signature predicts oral corticosteroid response in asthma Source: Eur Respir J, 49 (6) 1700180; 10.1183/13993003.00180-2017 Year: 2017
Functional, clinical evolution and cellular inflammatory pattern in induced sputum in patients with difficult-to-control asthma Source: Annual Congress 2011 - Update on monitoring airway diseases Year: 2011
Sputum transcriptomic analysis of air pollutant signatures: link to asthma severity and phenotype Source: Virtual Congress 2021 – Environment and air pollution Year: 2021
Discriminating phenotypes of severe eosinophilic asthma using gene profiling in sputum Source: International Congress 2018 – Does asthma phenotyping improve treatment? Year: 2018
Biomarkers to identify sputum eosinophilia in different adult asthma phenotypes Source: Eur Respir J 2015; 46: 688-696 Year: 2015
Eosinophils in bronchial biopsy predict functional response to biological therapy in severe asthma Source: Virtual Congress 2021 – Advances in asthma treatment: monoclonal antibodies Year: 2021
Repeatability of inflammatory analysis in induced sputum samples in COPD Source: Eur Respir J 2004; 24: Suppl. 48, 469s Year: 2004
Concordance in temporally distinct blood and sputum inflammatory phenotypic measures in severe asthma Source: International Congress 2019 – Clinical implications of asthma management Year: 2019
Proteomic derived biomarkers for COPD are present in induced sputum Source: Eur Respir J 2005; 26: Suppl. 49, 439s Year: 2005
Prediction of longitudinal inflammatory phenotypes using baseline sputum transcriptomics in UBIOPRED Source: International Congress 2019 – Novel methods, diagnostics and biomarkers in chronic lung diseases Year: 2019
Longitudinal analysis of airway epithelium of COPD subjects reveals unique inflammatory gene networks up-regulated over time Source: Annual Congress 2012 - COPD inflammation and genes Year: 2012
Pulmonary function testing: an useful oracle for predicting the pattern of bacterial pathogens in sputum of patients with acute exacerbation of COPD Source: Eur Respir J 2003; 22: Suppl. 45, 337s Year: 2003
LSC - 2019 - Sputum protein profiling identifies a key role for neutrophil extracellular traps in exacerbations of bronchiectasis and treatment response Source: International Congress 2019 – Phenotypes and endotypes of bronchiectasis Year: 2019
Azithromycin treatment modifies airway and blood gene expression networks in neutrophilic COPD Source: ERJ Open Res, 4 (4) 00031-2018; 10.1183/23120541.00031-2018 Year: 2018
Gene expression signatures in airway and nasal epithelium of COPD: linking endotypes to clinical outcomes Source: International Congress 2017 – Heterogeneity in COPD inflammation: implications for therapy and clinical outcomes Year: 2017
A nasal gene expression profile differentiates individuals with and without COPD and overlaps bronchial gene expression Source: International Congress 2017 – Rare and common genetic variants of common and rare airway diseases Year: 2017
Sputum proteomics identifies distinct endotypes of exacerbations in bronchiectasis Source: Virtual Congress 2020 – Chronic lung diseases: novel methods, diagnostics and biomarkers Year: 2020