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Sputum Protein Biomarkers in Airway Diseases: A Pilot Study

BACKGROUND: Chronic mucous hypersecretion (CMH or chronic bronchitis) per se or when associated with chronic inflammatory airway diseases such as asthma or chronic obstructive pulmonary disease (COPD) has several adverse clinical consequences. The sputum fluid phase has several candidate proteins in...

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Autores principales: Dasgupta, Angira, Chakraborty, Rahul, Saha, Bodhisattwa, Suri, Himanshi, Singh, Praveen, Raj, Anurag, Taneja, Bhupesh, Dash, Debasis, Sengupta, Shantanu, Agrawal, Anurag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326773/
https://www.ncbi.nlm.nih.gov/pubmed/34349506
http://dx.doi.org/10.2147/COPD.S306035
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author Dasgupta, Angira
Chakraborty, Rahul
Saha, Bodhisattwa
Suri, Himanshi
Singh, Praveen
Raj, Anurag
Taneja, Bhupesh
Dash, Debasis
Sengupta, Shantanu
Agrawal, Anurag
author_facet Dasgupta, Angira
Chakraborty, Rahul
Saha, Bodhisattwa
Suri, Himanshi
Singh, Praveen
Raj, Anurag
Taneja, Bhupesh
Dash, Debasis
Sengupta, Shantanu
Agrawal, Anurag
author_sort Dasgupta, Angira
collection PubMed
description BACKGROUND: Chronic mucous hypersecretion (CMH or chronic bronchitis) per se or when associated with chronic inflammatory airway diseases such as asthma or chronic obstructive pulmonary disease (COPD) has several adverse clinical consequences. The sputum fluid phase has several candidate proteins including mucins which have the potential of being therapeutic targets, but has not yet been explored in-depth. This study aimed at exploring the profile of sputum proteins in various airway diseases. METHODS: Sputum from thirty-one patients with various airway diseases was collected and the fluid phase analyzed by LC-MS/MS and subsequently by sequential window acquisition of all theoretical fragments ion spectra (SWATH) (n = 15) for protein quantitation. Hierarchical clustering and functional grouping were performed. RESULTS: A total of 185 proteins were quantitated by SWATH of which 21 proteins were identified which could distinguish between the clinical phenotypes by hierarchical clustering. Functional protein clustering revealed 4 groups: those that are inflammation related, oxidative stress related, mucin related and a cytoskeletal and calcium related group. The levels of eight proteins (Azurocidin1, Neutrophil defensin 3, Lactotransferrin, Calmodulin 3, Coronin1A, Mucin 5B, Mucin 5AC and BPI fold containing family B1) were significantly altered (relative to mean) in exacerbator prone subjects compared to nonexacerbators. Another simple but useful metric which emerged from this study was total protein concentration in sputum which was significantly higher in frequent exacerbators. CONCLUSION: Sputum proteins can detect the various airway disease clinical phenotypes. Total protein concentration and eight other proteins are biomarkers for frequent exacerbators. The clinical and therapeutic implications of the functional groups of proteins need further evaluation.
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spelling pubmed-83267732021-08-03 Sputum Protein Biomarkers in Airway Diseases: A Pilot Study Dasgupta, Angira Chakraborty, Rahul Saha, Bodhisattwa Suri, Himanshi Singh, Praveen Raj, Anurag Taneja, Bhupesh Dash, Debasis Sengupta, Shantanu Agrawal, Anurag Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: Chronic mucous hypersecretion (CMH or chronic bronchitis) per se or when associated with chronic inflammatory airway diseases such as asthma or chronic obstructive pulmonary disease (COPD) has several adverse clinical consequences. The sputum fluid phase has several candidate proteins including mucins which have the potential of being therapeutic targets, but has not yet been explored in-depth. This study aimed at exploring the profile of sputum proteins in various airway diseases. METHODS: Sputum from thirty-one patients with various airway diseases was collected and the fluid phase analyzed by LC-MS/MS and subsequently by sequential window acquisition of all theoretical fragments ion spectra (SWATH) (n = 15) for protein quantitation. Hierarchical clustering and functional grouping were performed. RESULTS: A total of 185 proteins were quantitated by SWATH of which 21 proteins were identified which could distinguish between the clinical phenotypes by hierarchical clustering. Functional protein clustering revealed 4 groups: those that are inflammation related, oxidative stress related, mucin related and a cytoskeletal and calcium related group. The levels of eight proteins (Azurocidin1, Neutrophil defensin 3, Lactotransferrin, Calmodulin 3, Coronin1A, Mucin 5B, Mucin 5AC and BPI fold containing family B1) were significantly altered (relative to mean) in exacerbator prone subjects compared to nonexacerbators. Another simple but useful metric which emerged from this study was total protein concentration in sputum which was significantly higher in frequent exacerbators. CONCLUSION: Sputum proteins can detect the various airway disease clinical phenotypes. Total protein concentration and eight other proteins are biomarkers for frequent exacerbators. The clinical and therapeutic implications of the functional groups of proteins need further evaluation. Dove 2021-07-28 /pmc/articles/PMC8326773/ /pubmed/34349506 http://dx.doi.org/10.2147/COPD.S306035 Text en © 2021 Dasgupta et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Dasgupta, Angira
Chakraborty, Rahul
Saha, Bodhisattwa
Suri, Himanshi
Singh, Praveen
Raj, Anurag
Taneja, Bhupesh
Dash, Debasis
Sengupta, Shantanu
Agrawal, Anurag
Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title_full Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title_fullStr Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title_full_unstemmed Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title_short Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
title_sort sputum protein biomarkers in airway diseases: a pilot study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326773/
https://www.ncbi.nlm.nih.gov/pubmed/34349506
http://dx.doi.org/10.2147/COPD.S306035
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