Global metabolome profiling of exhaled breath condensates in male smokers with asthma COPD overlap and prediction of the disease
| Autor: | Rintu Banerjee, Mamata Joshi, Nilanjana Ghosh, Sushmita Roychowdhury, Parthasarathi Bhattacharyya, Priyanka Choudhury, Koel Chaudhury |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male medicine.medical_specialty Science Diseases Disease Gastroenterology Article Pulmonary Disease Chronic Obstructive Metabolomics Internal medicine medicine Metabolome Humans Exhaled breath condensate Asthma COPD Multidisciplinary Smokers Receiver operating characteristic business.industry Smoking Biological techniques Middle Aged medicine.disease Prognosis respiratory tract diseases Breath Tests Cohort Medicine business Biomarkers |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
| ISSN: | 2045-2322 |
| Popis: | Asthma—chronic obstructive pulmonary disease (COPD) overlap, termed as ACO, is a complex heterogeneous disease characterised by persistent airflow limitation, which manifests features of both asthma and COPD. These patients have a worse prognosis, in terms of more frequent and severe exacerbations, more frequent symptoms, worse quality of life, increased comorbidities and a faster lung function decline. In absence of clear diagnostic or therapeutic guidelines, ACO presents as a challenge to clinicians. The present study aims to investigate whether ACO patients have a distinct exhaled breath condensate (EBC) metabolic profile in comparison to asthma and COPD. A total of 132 age and BMI matched male smokers were recruited in the exploratory phase which consisted of (i) controls = 33 (ii) asthma = 34 (iii) COPD = 30 and (iv) ACO = 35. Using nuclear magnetic resonance (NMR) metabolomics, 8 metabolites (fatty acid, propionate, isopropanol, lactate, acetone, valine, methanol and formate) were identified to be significantly dysregulated in ACO subjects when compared to both, asthma and COPD. The expression of these dysregulated metabolites were further validated in a fresh patient cohort consisting of (i) asthma = 32 (ii) COPD = 32 and (iii) ACO = 40, which exhibited a similar expression pattern. Multivariate receiver operating characteristic (ROC) curves generated using these metabolites provided a robust ACO classification model. The findings were also integrated with previously identified serum metabolites and inflammatory markers to develop a robust predictive model for differentiation of ACO. Our findings suggest that NMR metabolomics of EBC holds potential as a platform to identify robust, non-invasive biomarkers for differentiating ACO from asthma and COPD. |
| Databáze: | OpenAIRE |
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