The TH1 and TH2 Cytokine Network in Healthy Subjects: Suggestions for Experimental Studies to Create Prognostic and Diagnostic Indices for Biotherapeutic Treatments

Abstract

In vivo and in vitro studies have demonstrated the selective regulatory effect that TH1 and TH2 cytokines reciprocally exert in the regulation of the polarization of precursor cells into TH1 or TH2 types. The study of the network relationships between TH1 and TH2 (TH1/TH2) cytokines in healthy subjects could lead to a better understanding of how the physiological network of cytokines regulates the immune response. Such study could lead to gain suggestions for follow-up experiments to create prognostic and diagnostic indices for biotherapeutic treatments of patients. Hence we determined serum levels (environment network) and PBMC production (cellular network) of IL2, IFNγ, IL4, IL6 and IL10 in the peripheral blood of healthy subjects; these cytokines made up our networks under basic conditions. Both men and women were studied as hormones can influence the polarization of TH1 and TH2 cells. Cytokines within the physiological network function simultaneously so multivariate statistical methods were used to study TH1/TH2 relationships. The use of mathematical modelling is the only effective way of studying the immune system as a whole. The physiological TH1/TH2 network under activation conditions was evaluated by incorporating: sIL2R and sIL6R into the basic environment network model and the production levels of cytokines by PBMC after PHA stimulus, into the basic cellular network model. The influence of APC was evaluated by adding: serum levels of TNFα and IL1β to the environment network model, and production levels of IFNγ, IL10 and IL6, after stimulus with LPS, to the cellular network model. Our results led us to hypothesize that the physiological network of TH1/TH2 cytokines regulates TH polarization by means of specific relationships between TH1 and TH2 cytokines, which may be different in men and women. These relationships could be studied experimentally to create prognostic and diagnostic indices for more efficient prevention programs and biotherapeutic treatments of patients.