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Maximum likelihood factor analysis in malaria cytokines analysis and modelling

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1 Author(s)
Oliveras-Verges, A. ; Signal Theor. & Commun. Dep., Tech. Univ. of Catalonia - UPC, Barcelona, Spain

A maximum likelihood factor analysis (MLFA) of the dynamics of the human immune system in malaria, based on the observation of a few cytokine in plasma, suggests that an increased overproduction of cytokines: IL-12, IL-6, IFN-gamma, IL-2, and IL-5, over the cytokines: TGF-beta, TNF-alpha, IL-10 and IL-1beta has protective effects against severe malaria and cerebral malaria. According to a simplified model of the human adaptive immunity and the MLFA results, basal levels of cytokine IL-6 may play a key role in the favorable resolution of a malaria infection.

Published in:

Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on

Date of Conference:

17-21 May 2009