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Cytokine signature and COVID-19 prediction models in the two waves of pandemics.
Cabaro, Serena; D'Esposito, Vittoria; Di Matola, Tiziana; Sale, Silvia; Cennamo, Michele; Terracciano, Daniela; Parisi, Valentina; Oriente, Francesco; Portella, Giuseppe; Beguinot, Francesco; Atripaldi, Luigi; Sansone, Mario; Formisano, Pietro.
  • Cabaro S; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • D'Esposito V; URT "Genomic of Diabetes", Institute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Naples, Italy.
  • Di Matola T; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Sale S; URT "Genomic of Diabetes", Institute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Naples, Italy.
  • Cennamo M; Azienda Ospedaliera Dei Colli, Naples, Italy.
  • Terracciano D; Azienda Ospedaliera Dei Colli, Naples, Italy.
  • Parisi V; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Oriente F; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Portella G; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Beguinot F; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Atripaldi L; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Sansone M; Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
  • Formisano P; URT "Genomic of Diabetes", Institute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Naples, Italy.
Sci Rep ; 11(1): 20793, 2021 10 21.
Article in English | MEDLINE | ID: covidwho-1479813
ABSTRACT
In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-00190-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-00190-0