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 FloraAline Salgado DionizioHeloisa Aparecida Barbosa Silva PereiraThais Francini GarbieriLarissa Tercilia GrizzoThiago José DionisioAline de Lima LeiteLicia C Silva-CostaNathalia Rabelo BuzalafFernanda Navas ReisVirginia Bodelão Richini PereiraDeborah Maciel Cavalcanti RosaCarlos Ferreira Dos SantosMarília Afonso Rabelo BuzalafPublished in: Cells (2023)
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.
Keyphrases
- sars cov
- intensive care unit
- coronavirus disease
- immune response
- label free
- end stage renal disease
- emergency department
- ejection fraction
- newly diagnosed
- chronic kidney disease
- oxidative stress
- mechanical ventilation
- mass spectrometry
- prognostic factors
- high resolution
- small molecule
- machine learning
- respiratory syndrome coronavirus
- early onset
- risk assessment
- toll like receptor
- dendritic cells
- drug delivery
- high throughput
- depressive symptoms
- acute respiratory distress syndrome
- artificial intelligence
- nk cells