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Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19)
Coronavirus disease 2019 (COVID-19) has spread widely around the world, and in-depth research on COVID-19 is necessary for biomarkers and target drug discovery. This analysis collected serum from six COVID-19-infected patients and six healthy people. The protein changes in the infected and healthy c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788497/ https://www.ncbi.nlm.nih.gov/pubmed/36548652 http://dx.doi.org/10.3390/tropicalmed7120397 |
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author | Feng, Zhaomin Pan, Yang Liu, Yimeng Zhao, Jiachen Peng, Xiaomin Lu, Guilan Shi, Weixian Zhang, Daitao Cui, Shujuan |
author_facet | Feng, Zhaomin Pan, Yang Liu, Yimeng Zhao, Jiachen Peng, Xiaomin Lu, Guilan Shi, Weixian Zhang, Daitao Cui, Shujuan |
author_sort | Feng, Zhaomin |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) has spread widely around the world, and in-depth research on COVID-19 is necessary for biomarkers and target drug discovery. This analysis collected serum from six COVID-19-infected patients and six healthy people. The protein changes in the infected and healthy control serum samples were evaluated by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and high-performance liquid chromatography (HPLC). The differential protein signature in both groups was retrieved and analyzed by the Kyoto Encyclopedia of Gene and Genomes (KEGG), Gene ontology, COG/KOG, protein–protein interaction, and protein domain interactions tools. We shortlisted 24 differentially expressed proteins between both groups. Ten genes were significantly up-regulated in the infection group, and fourteen genes were significantly down-regulated. The GO and KEGG pathway enrichment analysis suggested that the chromosomal part and chromosome were the most enriched items. The oxytocin signaling pathway was the most enriched item of KEGG analysis. The netrin module (non-TIMP type) was the most enriched protein domain in this study. Functional analysis of S100A9, PIGR, C4B, IL-6R, IGLV3-19, IGLV3-1, and IGLV5-45 revealed that SARS-CoV-2 was closely related to immune response. |
format | Online Article Text |
id | pubmed-9788497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97884972022-12-24 Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) Feng, Zhaomin Pan, Yang Liu, Yimeng Zhao, Jiachen Peng, Xiaomin Lu, Guilan Shi, Weixian Zhang, Daitao Cui, Shujuan Trop Med Infect Dis Article Coronavirus disease 2019 (COVID-19) has spread widely around the world, and in-depth research on COVID-19 is necessary for biomarkers and target drug discovery. This analysis collected serum from six COVID-19-infected patients and six healthy people. The protein changes in the infected and healthy control serum samples were evaluated by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and high-performance liquid chromatography (HPLC). The differential protein signature in both groups was retrieved and analyzed by the Kyoto Encyclopedia of Gene and Genomes (KEGG), Gene ontology, COG/KOG, protein–protein interaction, and protein domain interactions tools. We shortlisted 24 differentially expressed proteins between both groups. Ten genes were significantly up-regulated in the infection group, and fourteen genes were significantly down-regulated. The GO and KEGG pathway enrichment analysis suggested that the chromosomal part and chromosome were the most enriched items. The oxytocin signaling pathway was the most enriched item of KEGG analysis. The netrin module (non-TIMP type) was the most enriched protein domain in this study. Functional analysis of S100A9, PIGR, C4B, IL-6R, IGLV3-19, IGLV3-1, and IGLV5-45 revealed that SARS-CoV-2 was closely related to immune response. MDPI 2022-11-25 /pmc/articles/PMC9788497/ /pubmed/36548652 http://dx.doi.org/10.3390/tropicalmed7120397 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Feng, Zhaomin Pan, Yang Liu, Yimeng Zhao, Jiachen Peng, Xiaomin Lu, Guilan Shi, Weixian Zhang, Daitao Cui, Shujuan Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title | Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title_full | Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title_fullStr | Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title_full_unstemmed | Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title_short | Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) |
title_sort | screening and analysis of serum protein biomarkers infected by coronavirus disease 2019 (covid-19) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788497/ https://www.ncbi.nlm.nih.gov/pubmed/36548652 http://dx.doi.org/10.3390/tropicalmed7120397 |
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