PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessOpen Access
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.
CitationOliveras, A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. A: IEEE International Workshop on Genomic Signal Processing and Statistics. "IEEE International Workshop on Genomic Signal Processing and Statistics". Minneapolis, Minnesota: IEEE Press. Institute of Electrical and Electronics Engineers, 2009.
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