Predictive Value of Specific Cytokines for Lethal Covid-19 Outcome
Russian Journal of Infection and Immunity
; 12(5):859-868, 2022.
Artigo
em Inglês
| EMBASE | ID: covidwho-2227673
ABSTRACT
In our study, we aimed to evaluate the significance of specific cytokines in blood plasma as predictive markers of COVID-associated mortality. Materials and methods. In plasma samples of 29 patients with PCR-confirmed COVID-19 we measured the concentrations of 47 molecules. These molecules included interleukins and selected pro-inflammatory cytokines (IL-1alpha, IL-1beta, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-9, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17A/CTLA8, IL-17-E/IL-25, IL-17F, IL-18, IL-22, IL-27, IFNalpha2, IFNgamma, TNFalpha, TNFbeta/Lymphotoxin-alpha(LTA));chemokines (CCL2/MCP-1, CCL3/MIP-1alpha, CCL4/MIP-1beta, CCL7/MCP-3, CCL11/Eotaxin, CCL22/MDC, CXCL1/GROalpha, CXCL8/IL-8, CXCL9/MIG, CXCL10/IP-10, CX3CL1/Fractalkine);anti-inflammatory cytokines (IL-1Ra, IL-10);growth factors (EGF, FGF-2/FGF-basic, Flt-3 Ligand, G-CSF, M-CSF, GM-CSF, PDGF-AA, PDGFAB/BB, TGFalpha, VEGF-A);and sCD40L. We used multiplex analysis based on xMAP technology (Luminex, USA) using Luminex MagPix. As controls, we used plasma samples of 20 healthy individuals. Based on the results, we applied Receiver Operating Characteristic (ROC) analysis and Area Under Curve (AUC) values to compare two different predictive tests and to choose the optimal division point for disease outcome (survivors/non-survivors). To find optimal biomarker combinations, we as used cytokines concentrations as dependent variables to grow a regression tree using JMP 16 Software.Results. Out of 47 studied cytokines/chemokines/growth factors, we picked four pro-inflammatory cytokines as having high significance in evaluation of COVID-19 outcome:
IL-6, IL-8, IL-15, and IL-18. Based on the results received, we assume that the highest significance in terms of predicting the outcome of acute COVID-19 belongs to IL-6 and IL-18. Conclusion. Analyzing concentrations of IL-6 and IL-18 before administering treatment may prove valuable in terms of outcome prognosis. Copyright © Arsentieva N.A. et al., 2022.
covid-19; cytokines; decision trees; interleukins; multiplex analysis; severity; adult; area under the curve; article; clinical article; controlled study; coronavirus disease 2019; decision tree; dependent variable; drug combination; female; human; human tissue; male; mortality; outcome assessment; predictive value; prognosis; receiver operating characteristic; software; survivor; alpha interferon; biological marker; chemokine; colony stimulating factor 1; CXCL1 chemokine; CXCL9 chemokine; cytokine; endogenous compound; eotaxin; epidermal growth factor; fibroblast growth factor 2; Flt3 ligand; fractalkine; gamma interferon; gamma interferon inducible protein 10; granulocyte colony stimulating factor; granulocyte macrophage colony stimulating factor; growth factor; interleukin 1 receptor blocking agent; interleukin 10; interleukin 12p40; interleukin 12p70; interleukin 13; interleukin 15; interleukin 17; interleukin 17F; interleukin 18; interleukin 1alpha; interleukin 1beta; interleukin 2; interleukin 22; interleukin 25; interleukin 27; interleukin 3; interleukin 4; interleukin 5; interleukin 6; interleukin 7; interleukin 8; interleukin 9; interleukin derivative; lymphotoxin; macrophage derived chemokine; macrophage inflammatory protein 1alpha; macrophage inflammatory protein 1beta; monocyte chemotactic protein 1; monocyte chemotactic protein 3; platelet derived growth factor AA; transforming growth factor alpha; tumor necrosis factor; vasculotropin A
Texto completo:
Disponível
Coleções:
Bases de dados de organismos internacionais
Base de dados:
EMBASE
Tipo de estudo:
Estudo experimental
/
Estudo prognóstico
Idioma:
Inglês
Revista:
Russian Journal of Infection and Immunity
Ano de publicação:
2022
Tipo de documento:
Artigo
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