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Comparative proteomics analysis of patients with quick development and slow development Chronic Obstructive Pulmonary
Fengsen Li1, Dan Xu1, Jing Wang2
1National Clinical Research Base of Traditional Chinese Medicine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.
Life Sciences
|May 27, 2020
Summary
This study reveals distinct plasma proteome profiles in Chronic Obstructive Pulmonary Disease (COPD) phenotypes. Identifying specific proteins in quick development COPD may aid in personalized treatment strategies.
Area of Science:
- Proteomics
- Biochemistry
- Immunology
Background:
- Chronic Obstructive Pulmonary Disease (COPD) progression varies, categorized into slow (SD), normal (ND), and quick development (QD) phenotypes.
- Understanding the plasma proteome differences across these COPD phenotypes is crucial for targeted therapies.
Purpose of the Study:
- To investigate and compare the plasma proteome profiles of normal control (NC) and COPD patients with SD, ND, and QD phenotypes.
- To identify potential protein biomarkers associated with different COPD development rates.
Main Methods:
- Comparative proteomic analysis using isobaric tags for relative and absolute quantitation (iTRAQ) on plasma samples.
- Identification and quantification of differentially abundant proteins (DAPs) across patient groups.
- Gene Ontology (GO) and pathway enrichment analyses to understand protein functions and biological processes.
Main Results:
- 683 proteins were identified, with 394 high-quality proteins. DAPs were identified in SD (25), ND (19), and QD (27) groups.
- Immune system process was the most significant GO term for DAPs.
- Fifteen specific DAPs in the QD group were identified as potential biomarkers for predicting rapid COPD progression.
Conclusions:
- This study provides insights into plasma proteome variations among COPD development phenotypes.
- Immune system-related pathways are significantly associated with COPD progression.
- The identified 15 QD-specific DAPs offer potential biomarkers for predicting COPD development types and guiding aggressive treatment strategies.
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