| Literature DB >> 33079950 |
Emel Akgun1,2, Mete Bora Tuzuner2, Betul Sahin2, Meltem Kilercik1,2, Canan Kulah2, Hacer Nur Cakiroglu2, Mustafa Serteser1,2, Ibrahim Unsal2, Ahmet Tarik Baykal1,2.
Abstract
COVID-19 or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appeared throughout the World and currently affected more than 9 million people and caused the death of around 470,000 patients. The novel strain of the coronavirus disease is transmittable at a devastating rate with a high rate of severe hospitalization even more so for the elderly population. Naso-oro-pharyngeal swab samples as the first step towards detecting suspected infection of SARS-CoV-2 provides a non-invasive method for PCR testing at a high confidence rate. Furthermore, proteomics analysis of PCR positive and negative naso-oropharyngeal samples provides information on the molecular level which highlights disease pathology. Samples from 15 PCR positive cases and 15 PCR negative cases were analyzed with nanoLC-MS/MS to identify the differentially expressed proteins. Proteomic analyses identified 207 proteins across the sample set and 17 of them were statistically significant. Protein-protein interaction analyses emphasized pathways like Neutrophil degranulation, Innate Immune System, Antimicrobial Peptides. Neutrophil Elastase (ELANE), Azurocidin (AZU1), Myeloperoxidase (MPO), Myeloblastin (PRTN3), Cathepsin G (CTSG) and Transcobalamine-1 (TCN1) were found to be significantly altered in naso-oropharyngeal samples of SARS-CoV-2 patients. The identified proteins are linked to alteration in the innate immune system specifically via neutrophil degranulation and NETosis.Entities:
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Year: 2020 PMID: 33079950 PMCID: PMC7575075 DOI: 10.1371/journal.pone.0240012
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Significantly altered protein identification list.
| Accession | Unique peptides | Fold change (Pos/Neg) | Description | |
|---|---|---|---|---|
| 2 | 0.0234 | 0.41 | Tubulin alpha-1C chain | |
| 4 | 0.0413 | 2.03 | Azurocidin | |
| 12 | 0.0073 | 2.04 | Immunoglobulin heavy constant alpha 1 | |
| 2 | 0.0337 | 2.10 | Transketolase | |
| 2 | 0.0075 | 2.11 | Gamma-enolase | |
| 3 | 0.0294 | 2.48 | Transcobalamin-1 | |
| 2 | 0.0001 | 2.65 | Vitronectin | |
| 7 | 0.0000 | 2.71 | Hemopexin | |
| 3 | 0.0127 | 2.83 | Immunoglobulin kappa light chain | |
| 2 | 0.0035 | 2.91 | Neutrophil elastase | |
| 2 | 0.0011 | 3.18 | Gap junction delta-2 protein | |
| 2 | 0.0003 | 3.20 | Histone H3.1t | |
| 2 | 0.0003 | 3.44 | Immunoglobulin heavy constant mu | |
| 3 | 0.0097 | 3.67 | Cathepsin G | |
| 9 | 0.0050 | 3.72 | Myeloperoxidase | |
| 4 | 0.0020 | 5.06 | Ceruloplasmin | |
| 2 | 0.0023 | 29.42 | Myeloblastin |
Fig 1STRING and Reactome analysis of identified proteins.
A-Protein-protein interaction network. B-Diagram of Initiate Immune System pathway (HSA-168249, FDR = 2.3E-5) from Reactome, showing a significant enrichment for neutrophil degranulation pathway (HSA-6798695, FDR = 2.01E-7) having the most hits.
Fig 2Neutrophil counts between severe and non-severe SARS-CoV-2 (+) groups.
(*) indicates the findings of the current study. (ref eklenecek).