Cells (Jun 2023)

Analysis of Plasma Proteins Involved in Inflammation, Immune Response/Complement System, and Blood Coagulation upon Admission of COVID-19 Patients to Hospital May Help to Predict the Prognosis of the Disease

  • Daniele Castro di Flora,
  • Aline Dionizio,
  • Heloisa Aparecida Barbosa Silva Pereira,
  • Thais Francini Garbieri,
  • Larissa Tercilia Grizzo,
  • Thiago José Dionisio,
  • Aline de Lima Leite,
  • Licia C. Silva-Costa,
  • Nathalia Rabelo Buzalaf,
  • Fernanda Navas Reis,
  • Virginia Bodelão Richini Pereira,
  • Deborah Maciel Cavalcanti Rosa,
  • Carlos Ferreira dos Santos,
  • Marília Afonso Rabelo Buzalaf

DOI
https://doi.org/10.3390/cells12121601
Journal volume & issue
Vol. 12, no. 12
p. 1601

Abstract

Read online

The development of new approaches allowing for the early assessment of COVID-19 cases that are likely to become critical and the discovery of new therapeutic targets are urgently required. In this prospective cohort study, we performed proteomic and laboratory profiling of plasma from 163 COVID-19 patients admitted to Bauru State Hospital (Brazil) between 4 May 2020 and 4 July 2020. Plasma samples were collected upon admission for routine laboratory analyses and shotgun quantitative label-free proteomics. Based on the course of the disease, the patients were divided into three groups: (a) mild (n = 76) and (b) severe (n = 56) symptoms, whose patients were discharged without or with admission to an intensive care unit (ICU), respectively, and (c) critical (n = 31), a group consisting of patients who died after admission to an ICU. Based on our data, potential therapies for COVID-19 should target proteins involved in inflammation, the immune response and complement system, and blood coagulation. Other proteins that could potentially be employed in therapies against COVID-19 but that so far have not been associated with the disease are CD5L, VDBP, A1BG, C4BPA, PGLYRP2, SERPINC1, and APOH. Targeting these proteins’ pathways might constitute potential new therapies or biomarkers of prognosis of the disease.

Keywords