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Article Abstract
https://bit.ly/3airXw7
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406856 | PMC |
| http://dx.doi.org/10.1183/13993003.00237-2020 | DOI Listing |
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Cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD) are muco-obstructive lung diseases. Knowledge of molecular processes has much improved therapeutic options in CF, whereas much less is known for COPD, a disease affecting an increasing number of patients. Here, we report a multilayer workflow integrating microbiome, inflammation and proteome profiling with clinical data to identify disease specific characteristics in sputum.
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Background: Previous studies have suggested that daily symptoms are a marker of bronchiectasis disease activity and could therefore identify patients at increased risk of exacerbation. However, international bronchiectasis guidelines recommend long-term macrolide treatment only in patients with three or more exacerbations per year. We aimed to investigate if symptoms independently predict future exacerbations and therefore identify additional responders to long-term macrolide treatment.
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Bronchiectasis frequently co-exists with chronic obstructive pulmonary disease (COPD-bronchiectasis association [CBA]). We compared the microbiota and metabolome of bronchiectasis with (BO) and without airflow obstruction (BNO), COPD, and CBA. We determined how microbiota compositions correlated with clinical characteristics and exacerbations of CBA.
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