Cytokine profiles as markers of disease severity in sepsis: a multiplex analysis
Universidade Federal do Rio de Janeiro · Hospital Universitário Clementino Fraga Filho · +3 more institutions
Abstract
The current shortage of accurate and readily available, validated biomarkers of disease severity in sepsis is an important limitation when attempting to stratify patients into homogeneous groups, in order to study pathogenesis or develop therapeutic interventions. The aim of the present study was to determine the cytokine profile in plasma of patients with severe sepsis by using a multiplex system for simultaneous detection of 17 cytokines.
This was a prospective cohort study conducted in four tertiary hospitals. A total of 60 patients with a recent diagnosis of severe sepsis were included. Plasma samples were collected for measurement of cytokine concentrations. A multiplex analysis was performed to evaluate levels of 17 cytokines (IL-1 beta, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12, IL-13, IL-17, interferon-gamma, granulocyte colony-stimulating factor [G-CSF], granulocyte-macrophage colony-stimulating factor, monocyte chemoattractant protein [MCP]-1, macrophage inflammatory protein-1 and tumour necrosis factor-alpha). Cytokine concentrations were related to the presence of severe sepsis or septic shock, the severity and evolution of organ failure, and early and late mortality.
Citation impact
- FWCI
- 21.40
- Percentile
- 100%
- References
- 46
Authors
9- FAFernando A. BozzaCorresponding
Universidade Federal do Rio de Janeiro, Hospital Universitário Clementino Fraga Filho, Fundação Oswaldo Cruz
- JIJorge I. Salluh
D’Or Institute for Research and Education, Instituto Nacional de Câncer - INCA
- AMAndré Miguel Japiassú
Universidade Federal do Rio de Janeiro, D’Or Institute for Research and Education, Hospital Universitário Clementino Fraga Filho, Fundação Oswaldo Cruz
- MSMárcio Soares
Instituto Nacional de Câncer - INCA
- EAEdson Assis
Fundação Oswaldo Cruz
Topics & keywords
- Medicine
- Sepsis
- Multiplex
- Immunology
- Disease
- Intensive care medicine
- Bioinformatics
- Internal medicine
- Good health and well-being