| Literature DB >> 33198714 |
Durga Mahor1, Vandana Kumari2, Kapil Vashisht2, Ruma Galgalekar1, Ravindra M Samarth3, Pradyumna K Mishra1, Nalok Banerjee1, Rajnikant Dixit2, Rohit Saluja4,5, Sajal De1, Kailash C Pandey6,7.
Abstract
BACKGROUND: The increasing trend of Chronic Obstructive Pulmonary Disease (COPD) in becoming the third leading cause of deaths by 2020 is of great concern, globally as well as in India. Dysregulation of protease/anti-protease balance in COPD has been reported to cause tissue destruction, inflammation and airway remodelling; which are peculiar characteristics of COPD. Therefore, it is imperative to explore various serum proteases involved in COPD pathogenesis, as candidate biomarkers. COPD and Asthma often have overlapping symptoms and therefore involvement of certain proteases in their pathogenesis would render accurate diagnosis of COPD to be difficult.Entities:
Keywords: Biomarker; COPD; Caspases; Cysteine proteases; Metallo proteases; Protease inhibitors; Serine proteases
Mesh:
Substances:
Year: 2020 PMID: 33198714 PMCID: PMC7670729 DOI: 10.1186/s12890-020-01323-3
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Fig. 1Qualitative analysis of serum NE from controls vs COPD vs Asthma patients. The p-values are calculated by unpaired t-test with 95% confidence interval using Graphpad prism 5.0 software
Quantitative analysis of serum NE and MMP-2 in COPD patients vs the controls
| Neutrophil elastase (μg/ml) | Matrix metalloprotease-2 (μg/ml) | |
|---|---|---|
| Controls | 0.047 ± 0.014 | 0.05 ± 0.0083 |
| COPD patients |
Fig. 2Measurement of serum DPP-IV levels in COPD patients vs the controls. The p-values are calculated by unpaired t-test with 95% confidence interval using Graphpad prism 5.0 software
Fig. 3Activity measurement and qualitative analysis of serum caspases- [3&7]. (a) estimation of caspase-3/7 activity; (b) qualitative estimation of serum caspase-3; and (c) caspase-7 from controls vs COPD patients. The p-values are calculated by unpaired t-test with 95% confidence interval using Graphpad prism 5.0 software
Fig. 4Qualitative analysis of serum MMP-2 in controls vs COPD vs Asthma patients and serum MMP-9 from controls and COPD patients. The p-values are calculated by unpaired t-test with 95% confidence interval using Graphpad prism 5.0 software
Fig. 5Measurement of reactive oxygen species (ROS) in controls and COPD patients. The p-values are calculated by unpaired t-test with 95% confidence interval using Graphpad prism 5.0 software
List of proteins with altered expression in COPD patients vs the controls, as per the MALDI sequencing analysis
| S. No. | Name of the identified proteins | Fold change | Predicted function |
|---|---|---|---|
| 1 | Preg. Zone Protein (PZP) | −3.6 | Protease inhibitor, able to inhibit all four classes of proteases |
| 2 | α-2 Macroglobulin(A2MG) | −2.5 | Protease inhibitor, able to inhibit all four classes of proteases |
| 3 | Peptidase Inhibitor (PI16) | −2.3 | Serine Protease Inhibitor |
| 4 | Serotransferrin TRFE_Human) | −2.0 | To prevent oxidative damage |
| 5 | Cytokine suppressor (SOCS-3) | 3.1 | SOCS-3; Suppressor of cytokine signaling. SOCS3 involved in the negative regulation of cytokines. |
| 6 | Carboxy peptidase B2,(CBPB2) | 2.4 | Carboxy peptidase (cleave basic amino residues), plays a major role in the breakdown of the extracellular matrix |
| 7 | Matrix Metallo Protease −2 (MMP-II) | 2.6 | MMP-2 or Gelatinase A or type IV Collagenase, breakdown extracellular matrix |
| 8 | Human Leukocyte Elastase (HLE) | 2.8 | Serine Protease that hydrolyzes many proteins in addition to Elastin |