Frontiers in Immunology (Jun 2023)

Comparison of C-reactive protein with distinct hyperinflammatory biomarkers in association with COVID-19 severity, mortality and SARS-CoV-2 variants

  • Tudorita Gabriela Paranga,
  • Tudorita Gabriela Paranga,
  • Mariana Pavel-Tanasa,
  • Mariana Pavel-Tanasa,
  • Daniela Constantinescu,
  • Daniela Constantinescu,
  • Claudia Elena Plesca,
  • Claudia Elena Plesca,
  • Cristina Petrovici,
  • Cristina Petrovici,
  • Ionela-Larisa Miftode,
  • Ionela-Larisa Miftode,
  • Mihaela Moscalu,
  • Petru Cianga,
  • Petru Cianga,
  • Egidia Gabriela Miftode,
  • Egidia Gabriela Miftode

DOI
https://doi.org/10.3389/fimmu.2023.1213246
Journal volume & issue
Vol. 14

Abstract

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C-reactive protein (CRP) has been one of the most investigated inflammatory-biomarkers during the ongoing COVID-19 pandemics caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The severe outcome among patients with SARS-CoV-2 infection is closely related to the cytokine storm and the hyperinflammation responsible for the acute respiratory distress syndrome and multiple organ failure. It still remains a challenge to determine which of the hyperinflammatory biomarkers and cytokines are the best predictors for disease severity and mortality in COVID-19 patients. Therefore, we evaluated and compared the outcome prediction efficiencies between CRP, the recently reported inflammatory modulators (suPAR, sTREM-1, HGF), and the classical biomarkers (MCP-1, IL-1β, IL-6, NLR, PLR, ESR, ferritin, fibrinogen, and LDH) in patients confirmed with SARS-CoV-2 infection at hospital admission. Notably, patients with severe disease had higher serum levels of CRP, suPAR, sTREM-1, HGF and classical biomarkers compared to the mild and moderate cases. Our data also identified CRP, among all investigated analytes, to best discriminate between severe and non-severe forms of disease, while LDH, sTREM-1 and HGF proved to be excellent mortality predictors in COVID-19 patients. Importantly, suPAR emerged as a key molecule in characterizing the Delta variant infections.

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