Proteomics

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Meta-Analysis and DIA-MS-based Proteomic Investigation of COPD Patients and Asymptomatic Smokers in the Indian population


ABSTRACT: Chronic obstructive pulmonary disease (COPD) is India's second largest cause of death and is largely caused by smoking. Asymptomatic smokers develop COPD due to genetic, environmental, and molecular variables, making early screening crucial. Data-independent acquisition mass spectrometry (DIA-MS) proteomics offers an unbiased method to analyze proteomic profiles. This study is the first to use DIA-based proteomics to analyze individual serum samples from three distinct male cohorts: healthy individuals (n=10), asymptomatic smokers (n=10), and COPD patients (n=10). This comprehensive approach identified 667 proteins with a 1% false discovery rate. Differentially expressed proteins included 40 in the normal versus asymptomatic comparison, 88 in the COPD versus normal comparison, and 40 in the COPD versus asymptomatic comparison. Among them, PRDX6, ELANE, PRKCSH, PRTN3, and MNDA could help differentiate COPD from asymptomatic smokers, while ELANE, H3-3A, IGHE, SLC4A1, and SERPINA11 could differentiate COPD from healthy subjects. Pathway enrichment and protein-protein interaction analyses revealed significant alterations in hemostasis, immune system functions, fibrin clot formation, and post-translational protein modifications. Key proteins were validated using a parallel reaction monitoring assay. DIA data are available via ProteomeXchange with identifier PXD055242. Our findings reveal key protein classifiers in COPD patients, asymptomatic smokers, and healthy individuals, helping clinicians understand disease pathobiology and improve disease management and quality of life.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Chronic Obstructive Pulmonary Disease

SUBMITTER: Gautam Sharma  

LAB HEAD: Sanjeeva Srivastava

PROVIDER: PXD055242 | Pride | 2024-11-13

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
08012024_NR05_GS.raw Raw
08012024_SN04_GS.raw Raw
10012024_COPD04_GS.raw Raw
10012024_COPD05_GS.raw Raw
10012024_COPD06_GS.raw Raw
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Publications

Meta-Analysis and DIA-MS-Based Proteomic Investigation of COPD Patients and Asymptomatic Smokers in the Indian Population.

Sharma Gautam G   Gupta Debarghya Pratim DP   Ganguly Koustav K   Anand Mahesh Padukudru MP   Srivastava Sanjeeva S  

Journal of proteome research 20241022 11


Chronic obstructive pulmonary disease (COPD) is India's second largest cause of death and is largely caused by smoking. Asymptomatic smokers develop COPD due to genetic, environmental, and molecular variables, making early screening crucial. Data-independent acquisition mass spectrometry (DIA-MS) based-proteomics offers an unbiased method to analyze proteomic profiles. This study is the first to use DIA-based proteomics to analyze individual serum samples from three distinct male cohorts: health  ...[more]

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