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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Tropical Medicine and Infectious Disease |
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| Online Access: | https://www.mdpi.com/2414-6366/7/12/397 |
| _version_ | 1797455124468072448 |
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| author | Zhaomin Feng Yang Pan Yimeng Liu Jiachen Zhao Xiaomin Peng Guilan Lu Weixian Shi Daitao Zhang Shujuan Cui |
| author_facet | Zhaomin Feng Yang Pan Yimeng Liu Jiachen Zhao Xiaomin Peng Guilan Lu Weixian Shi Daitao Zhang Shujuan Cui |
| author_sort | Zhaomin Feng |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T15:46:59Z |
| format | Article |
| id | doaj.art-bcaafacab64441e8b831160200fdf946 |
| institution | Directory Open Access Journal |
| issn | 2414-6366 |
| language | English |
| last_indexed | 2024-03-09T15:46:59Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tropical Medicine and Infectious Disease |
| spelling | doaj.art-bcaafacab64441e8b831160200fdf9462023-11-24T18:27:52ZengMDPI AGTropical Medicine and Infectious Disease2414-63662022-11-0171239710.3390/tropicalmed7120397Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19)Zhaomin Feng0Yang Pan1Yimeng Liu2Jiachen Zhao3Xiaomin Peng4Guilan Lu5Weixian Shi6Daitao Zhang7Shujuan Cui8Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaInstitute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, ChinaCoronavirus 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.https://www.mdpi.com/2414-6366/7/12/397COVID-19protein biomarkersHPLCLC-MS/MS |
| spellingShingle | Zhaomin Feng Yang Pan Yimeng Liu Jiachen Zhao Xiaomin Peng Guilan Lu Weixian Shi Daitao Zhang Shujuan Cui Screening and Analysis of Serum Protein Biomarkers Infected by Coronavirus Disease 2019 (COVID-19) Tropical Medicine and Infectious Disease COVID-19 protein biomarkers HPLC LC-MS/MS |
| 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 | COVID-19 protein biomarkers HPLC LC-MS/MS |
| url | https://www.mdpi.com/2414-6366/7/12/397 |
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