Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae
Coronavirus disease 2019 (COVID-19) may determine a multisystemic chronic syndrome after resolution of SARS-CoV-2 infection in a significant percentage of patients. Persistent cytokine dysregulation can contribute to long-lasting inflammation and tissue damage, resulting in the diverse, often debili...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/24/16/12994 |
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| author | Laura Bergantini Miriana d’Alessandro Sara Gangi Francesco Bianchi Paolo Cameli Beatrice Perea Martina Meocci Gaia Fabbri Sofia Marrucci Moftah Ederbali Elena Bargagli |
| author_facet | Laura Bergantini Miriana d’Alessandro Sara Gangi Francesco Bianchi Paolo Cameli Beatrice Perea Martina Meocci Gaia Fabbri Sofia Marrucci Moftah Ederbali Elena Bargagli |
| author_sort | Laura Bergantini |
| collection | DOAJ |
| description | Coronavirus disease 2019 (COVID-19) may determine a multisystemic chronic syndrome after resolution of SARS-CoV-2 infection in a significant percentage of patients. Persistent cytokine dysregulation can contribute to long-lasting inflammation and tissue damage, resulting in the diverse, often debilitating symptoms experienced by some patients (so-called long COVID syndrome). The aim of our study was to evaluate the value of a panel of serum biomarkers of severity and prognosis in patients hospitalized for COVID-19 and also as predictive factors for the development of post-COVID lung sequelae after discharge from the hospital. All blood sampling was performed in the first 24 h after admission to the hospital. Serum analyte concentrations of IL-4, IL-2, CXCL10 (IP-10), IL-1β, TNF-α, CCL2 (MCP-1), IL-17A, IL-6, IL-10, IFN-γ, IL-12p70 and TGF-β1 were quantified by bead-based multiplex LEGENDplex™ analysis and commercially available ELISA kits. A total of 108 COVID-19 patients were enrolled in the study. Comparative analysis of these proteins showed higher levels of TGF-β and IL-6 and lower levels of RBP-4 and IL-10 in the severe group. Age, adiponectin, IL-8 and IL-32 resulted as the best predictors for survival. Moreover, IL-1β, IL17A, TNF-α, TGF-β, IL-4 and IL-6 were significantly higher in patients who showed HRCT evidence of fibrotic interstitial alterations at follow-up than patients who did not. The initial inflammatory status of patients on admission to the hospital with COVID-19, as reflected by the present panel of adipose tissue-related biomarkers and cytokines, offered insights into medium-term prognosis. |
| first_indexed | 2024-03-10T23:51:06Z |
| format | Article |
| id | doaj.art-1073995139604172a0fa7ff999a94742 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T23:51:06Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-1073995139604172a0fa7ff999a947422023-11-19T01:33:48ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-08-0124161299410.3390/ijms241612994Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung SequelaeLaura Bergantini0Miriana d’Alessandro1Sara Gangi2Francesco Bianchi3Paolo Cameli4Beatrice Perea5Martina Meocci6Gaia Fabbri7Sofia Marrucci8Moftah Ederbali9Elena Bargagli10Respiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyPneumology Department, Azienda USL Toscana Sud-Est, “Misericordia” Hospital, 58100 Grosseto, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, ItalyCoronavirus disease 2019 (COVID-19) may determine a multisystemic chronic syndrome after resolution of SARS-CoV-2 infection in a significant percentage of patients. Persistent cytokine dysregulation can contribute to long-lasting inflammation and tissue damage, resulting in the diverse, often debilitating symptoms experienced by some patients (so-called long COVID syndrome). The aim of our study was to evaluate the value of a panel of serum biomarkers of severity and prognosis in patients hospitalized for COVID-19 and also as predictive factors for the development of post-COVID lung sequelae after discharge from the hospital. All blood sampling was performed in the first 24 h after admission to the hospital. Serum analyte concentrations of IL-4, IL-2, CXCL10 (IP-10), IL-1β, TNF-α, CCL2 (MCP-1), IL-17A, IL-6, IL-10, IFN-γ, IL-12p70 and TGF-β1 were quantified by bead-based multiplex LEGENDplex™ analysis and commercially available ELISA kits. A total of 108 COVID-19 patients were enrolled in the study. Comparative analysis of these proteins showed higher levels of TGF-β and IL-6 and lower levels of RBP-4 and IL-10 in the severe group. Age, adiponectin, IL-8 and IL-32 resulted as the best predictors for survival. Moreover, IL-1β, IL17A, TNF-α, TGF-β, IL-4 and IL-6 were significantly higher in patients who showed HRCT evidence of fibrotic interstitial alterations at follow-up than patients who did not. The initial inflammatory status of patients on admission to the hospital with COVID-19, as reflected by the present panel of adipose tissue-related biomarkers and cytokines, offered insights into medium-term prognosis.https://www.mdpi.com/1422-0067/24/16/12994cytokineadipokineprofilesCOVID-19 |
| spellingShingle | Laura Bergantini Miriana d’Alessandro Sara Gangi Francesco Bianchi Paolo Cameli Beatrice Perea Martina Meocci Gaia Fabbri Sofia Marrucci Moftah Ederbali Elena Bargagli Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae International Journal of Molecular Sciences cytokine adipokine profiles COVID-19 |
| title | Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae |
| title_full | Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae |
| title_fullStr | Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae |
| title_full_unstemmed | Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae |
| title_short | Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae |
| title_sort | predictive role of cytokine and adipokine panel in hospitalized covid 19 patients evaluation of disease severity survival and lung sequelae |
| topic | cytokine adipokine profiles COVID-19 |
| url | https://www.mdpi.com/1422-0067/24/16/12994 |
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