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Updated: Oct 25, 2025

Methodology for Sputum Induction and Laboratory Processing
Published on: December 17, 2017
Sputum Protein Biomarkers in Airway Diseases: A Pilot Study
Angira Dasgupta1,2,3, Rahul Chakraborty1,2, Bodhisattwa Saha1
1Institute of Genomics and Integrative Biology, New Delhi, India.
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.
Insights
Sputum proteins can identify distinct airway disease phenotypes. Specific proteins and total protein concentration in sputum serve as biomarkers for frequent exacerbators, aiding in disease management.
Area of Science:
- Respiratory Medicine
- Proteomics
- Biomarker Discovery
Background:
- Chronic mucous hypersecretion (CMH), often seen in chronic bronchitis, asthma, and COPD, has significant adverse clinical effects.
- The sputum fluid phase contains candidate proteins, including mucins, with therapeutic potential, but these remain underexplored.
- Understanding sputum protein profiles is crucial for managing airway diseases.
Purpose of the Study:
- To investigate the protein profile in the sputum fluid phase of patients with various airway diseases.
- To identify potential protein biomarkers for differentiating clinical phenotypes and predicting exacerbation frequency.
Main Methods:
- Sputum samples from 31 patients with airway diseases were analyzed using LC-MS/MS.
- Quantitative proteomics was performed using sequential window acquisition of all theoretical fragments ion spectra (SWATH) on 15 samples.
- Hierarchical clustering and functional grouping were employed for protein analysis.
Main Results:
- A total of 185 proteins were quantified, with 21 proteins distinguishing between clinical phenotypes via hierarchical clustering.
- Functional protein clusters identified inflammation, oxidative stress, mucin, and cytoskeletal/calcium-related groups.
- Eight specific proteins and total sputum protein concentration were significantly altered in frequent exacerbators.
Conclusions:
- Sputum proteins effectively differentiate clinical phenotypes in airway diseases.
- Total protein concentration and eight identified proteins are potential biomarkers for frequent exacerbators.
- Further research is needed to evaluate the clinical and therapeutic implications of these protein groups.
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