Modeling the kinetics of immune, viral, epigenetic, tolerance, metabolomics and clinical parameters
In the project e:KID a large number of parameters are measured over time, including: immune cell populations, cytokines in circulation, gene expression, T-cell repertoires, viral load of common infections, metabolomics, inflammatory markers, host epigenetic markers and general clinical parameters. The integration of these data through mathematical modelling and statistics is the goal of TP7. This includes both single-parameter and multi-parameter analyses. Our approach is based on modeling of the numerous variables over the time course to simulate their mutual influence. In particular, we devise models to assess the influence of immunosuppression on the immune response against the graft or against pathogens – a precarious balance key for the success of kidney transplantation. In these models, we explore the interactions between cellular immune response, immunosuppression and viral load. Moreover, statistical analyses are performed to find risk factors and risk constellations for viral infection and rejection. In addition, the association between different viral infections shall be elucidated. Our ultimate goal is to achieve an efficient and precise clustering of patients based on their multi-parameter time course profile.
Methods and technologies
• Mathematical modeling: ordinary differential equations, stochastic models
• Biostatistics: multi-parameter classification, parameter selection, time course analysis