Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19
Abstract Coronavirus disease identified in 2019 (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2, had a global impact on human health and the economy. The aim of this study was to quantify cytokines, chemokines, and acute phase proteins in the plasma of patients with COVID-19 to...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-99248-6 |
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| author | Sierra G. Vanderkamp Maysa Niazy Ashley A. Stegelmeier Kevin J. Stinson Nicole Ricker Byram W. Bridle |
| author_facet | Sierra G. Vanderkamp Maysa Niazy Ashley A. Stegelmeier Kevin J. Stinson Nicole Ricker Byram W. Bridle |
| author_sort | Sierra G. Vanderkamp |
| collection | DOAJ |
| description | Abstract Coronavirus disease identified in 2019 (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2, had a global impact on human health and the economy. The aim of this study was to quantify cytokines, chemokines, and acute phase proteins in the plasma of patients with COVID-19 to elucidate potential biomarkers to inform prognostic and treatment decisions. Clustering analysis using the K-prototypes method identified underlying biological patterns in patients with COVID-19. The penalized multinomial logistic regression analysis identified two comorbidities (hypertension, congestive heart failure) and thirteen analytes as potential risk factors for COVID-19 progression with 88.2% accuracy. Based on a patient’s age, high concentrations of interleukin (IL)-6, monocyte chemoattractant protein-1, and pentraxin 3 were important biomarkers for lethal COVID-19. Decreased concentrations of interferon gamma-induced protein-10, IL-10, and soluble tumor necrosis factor receptor I were found to be associated with mild COVID-19, while increasing concentrations of these analytes could be used to predict COVID-19 severity. |
| format | Article |
| id | doaj-art-3cb4cada6d43464eac2149bee3ebccd3 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-3cb4cada6d43464eac2149bee3ebccd32025-08-20T02:10:54ZengNature PortfolioScientific Reports2045-23222025-05-0115111310.1038/s41598-025-99248-6Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19Sierra G. Vanderkamp0Maysa Niazy1Ashley A. Stegelmeier2Kevin J. Stinson3Nicole Ricker4Byram W. Bridle5Department of Pathobiology, Ontario Veterinary College, University of GuelphDepartment of Pathobiology, Ontario Veterinary College, University of GuelphDepartment of Pathobiology, Ontario Veterinary College, University of GuelphSt. Mary’s General HospitalDepartment of Pathobiology, Ontario Veterinary College, University of GuelphDepartment of Pathobiology, Ontario Veterinary College, University of GuelphAbstract Coronavirus disease identified in 2019 (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2, had a global impact on human health and the economy. The aim of this study was to quantify cytokines, chemokines, and acute phase proteins in the plasma of patients with COVID-19 to elucidate potential biomarkers to inform prognostic and treatment decisions. Clustering analysis using the K-prototypes method identified underlying biological patterns in patients with COVID-19. The penalized multinomial logistic regression analysis identified two comorbidities (hypertension, congestive heart failure) and thirteen analytes as potential risk factors for COVID-19 progression with 88.2% accuracy. Based on a patient’s age, high concentrations of interleukin (IL)-6, monocyte chemoattractant protein-1, and pentraxin 3 were important biomarkers for lethal COVID-19. Decreased concentrations of interferon gamma-induced protein-10, IL-10, and soluble tumor necrosis factor receptor I were found to be associated with mild COVID-19, while increasing concentrations of these analytes could be used to predict COVID-19 severity.https://doi.org/10.1038/s41598-025-99248-6Coronavirus diseaseSevere acute respiratory syndrome-coronavirus-2CytokinesCytokine stormBiomarkers |
| spellingShingle | Sierra G. Vanderkamp Maysa Niazy Ashley A. Stegelmeier Kevin J. Stinson Nicole Ricker Byram W. Bridle Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 Scientific Reports Coronavirus disease Severe acute respiratory syndrome-coronavirus-2 Cytokines Cytokine storm Biomarkers |
| title | Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 |
| title_full | Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 |
| title_fullStr | Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 |
| title_full_unstemmed | Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 |
| title_short | Cytokine, chemokine, and acute-phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with COVID-19 |
| title_sort | cytokine chemokine and acute phase protein profiles in plasma as correlative biomarkers of clinical outcomes for patients with covid 19 |
| topic | Coronavirus disease Severe acute respiratory syndrome-coronavirus-2 Cytokines Cytokine storm Biomarkers |
| url | https://doi.org/10.1038/s41598-025-99248-6 |
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