Maximum likelihood factor analysis in malaria cytokines analysis and modelling

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Title:	Maximum likelihood factor analysis in malaria cytokines analysis and modelling
Author:	Oliveras Vergés, Albert
Other authors:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Abstract:	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.
Subject(s):	-Àrees temàtiques de la UPC::Ciències de la salut -Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Malaria -Vectors
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Document type:	Article - Published version Conference Object
Published by:	IEEE Press. Institute of Electrical and Electronics Engineers
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