Event Abstract Back to Event Multiscale Immune System Simulator for the Onset of Type-2 Diabetes for use in online decision support and coaching tools Albert De Graaf1* 1 TNO, Risk Analysis for Products in Development, Netherlands Background: To empower patients to optimize lifestyle factors and compliance in intervention strategies, predictive personalised simulation models such as developed in the framework of the Virtual Physiological Human initiative (http://www.vph-institute.org/) are a potential important asset. Aim:The FP7 EU project MISSION-T2D aims to develop and validate a computer model incorporating genetic, metabolic, and nutritional data for the simulation and prediction of the onset and progression of T2D. The model should include immunological/inflammatory processes contributing to insulin resistance and beta cell function loss, functionally interacting with energy intake/expenditure-associated metabolic regulatory mechanisms. Methods: The overall architecture of the model interconnects and integrates an already established immune system simulator with newly developed and/or adapted discrete and continuous mathematical simulation models for relevant processes as detailed below. The model is programmed in ANSI/C. Results: Model sections are as follows: 1) GUT MICROBIOTA: predicts how different dietary components affect the relative abundance of important gut bacteria, thus influencing butyrate production, and thereby modulating TNF, IL-6 and IL-1β; 2) PANCREATIC BETA CELL employs mTOR signaling as a central mechanism and predicts the beta cell survival and –functionality as a function of concentration of macrophages, acivated macrophages, and beta cell antigenic proteins; 3) WHOLE BODY METABOLISM describes seven tissue compartments: brain, heart, liver, gastrointestinal tract, skeletal muscle, and adipose tissue, by dynamic mass balances for major cellular metabolic reactions involving glucose, lactate, pyruvate, alanine, free fatty acids, triglycerides, glycerol and ATP as driven by macronutrient meal intake and hormonal control by insulin, glucagon and epinphrine; 4) PHYSICAL ACTIVITY predicts epinephrine concentration and IL-6 as a function of exercise intensity; 5) IMMUNE SYSTEM simulates Th differentiation and macrophage MA1/MA2 differentiation as a function of (and influencing) cytokine concentrations. The integrated model generates simulations of the integrated effects of physical activity and nutrition on metabolism and inflammation with 15 min time resolution and a maximum 6 months total time span. Conclusions: An integrated immune system-metabolism model relevant for simulation of the onset of type-2 diabetes was developed. This model combined with a personal health tracking system and other sources of data (personal health records, wearables, apps) should find application in mobile-based self management and diagnosis support tools. Acknowledgements This work was supported under the EC contract FP7-ICT-2011-9, No.600803 (MISSION-T2D). Website: http://www.mission-t2d.eu/ Keywords: Computer simulations of complex biological systems, Metaflammation, type-2 diabetes, Insulin Resistance, prediction Conference: 2nd Behaviour Change Conference: Digital Health and Wellbeing, London, United Kingdom, 24 Feb - 25 Feb, 2016. Presentation Type: Poster presentation Topic: Academic Citation: De Graaf A (2016). Multiscale Immune System Simulator for the Onset of Type-2 Diabetes for use in online decision support and coaching tools. Front. Public Health. Conference Abstract: 2nd Behaviour Change Conference: Digital Health and Wellbeing. doi: 10.3389/conf.FPUBH.2016.01.00084 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 27 Nov 2015; Published Online: 09 Jan 2016. * Correspondence: Dr. Albert De Graaf, TNO, Risk Analysis for Products in Development, Zeist, 3704 HE, Netherlands, albert.degraaf@tno.nl Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Albert De Graaf Google Albert De Graaf Google Scholar Albert De Graaf PubMed Albert De Graaf Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. 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