Article
Multiplex cytokine profile from dengue patients: MIP-1beta and IFN-gamma as predictive factors for severity
Registro en:
BOZZA, Fernando A. et al. Multiplex cytokine profile from dengue patients: MIP-I beta IFN-gamma as predictive factors for severity. BMC Infectious Diseases, v. 8, n. 86, p. 1-11, 2008.
1471-2334
10.1186/1471-2334-8-86
Autor
Bozza, Fernando A.
Cruz, Oswaldo G.
Zagne, Sonia M. O.
Azeredo, Elzinandes L.
Nogueira, Rita M. R.
Assis, Edson F.
Bozza, Patrícia T.
Kubelka, Claire F.
Resumen
Background: Dengue virus pathogenesis is not yet fully understood and the identification of patients at high risk for developing severe disease forms is still a great challenge in dengue patient care. During the present study, we evaluated prospectively the potential of cytokines present in plasma from patients with dengue in stratifying disease severity. Methods: Seventeen-cytokine multiplex fluorescent microbead immunoassay was used for the simultaneous detection in 59 dengue patients. GLM models using bimodal or Gaussian family were determined in order to associate cytokines with clinical manifestations and laboratory diagnosis. Results: IL-1β, IFN-γ, IL-4, IL-6, IL-13, IL-7 and GM-CSF were significantly increased in patients with severe clinical manifestations (severe dengue) when compared to mild disease forms (mild dengue). In contrast, increased MIP-1β levels were observed in patients with mild dengue. MIP-1β was also associated with CD56+NK cell circulating rates. IL-1β, IL-8, TNF-α and MCP-1 were associated with marked thrombocytopenia. Increased MCP-1 and GM-CSF levels correlated with hypotension. Moreover, MIP-1β and IFN-γ were independently associated with both dengue severity and disease outcome. Conclusion: Our data demonstrated that the use of a multiple cytokine assay platform was suitable for identifying distinct cytokine profiles associated with the dengue clinical manifestations and severity. MIP-β is indicated for the first time as a good prognostic marker in contrast to IFNγ that was associated with disease severity.