Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set

Authors
Publication date 2023
Host editors
  • Jiří Mikyška
  • Clélia de Mulatier
  • Maciej Paszynski
  • Valeria V. Krzhizhanovskaya
  • Jack J. Dongarra
  • Peter M.A. Sloot
Book title Computational Science – ICCS 2023
Book subtitle 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings
ISBN
  • 9783031360206
ISBN (electronic)
  • 9783031360213
Series Lecture Notes in Computer Science
Event 23rd International Conference on Computational Science, ICCS 2023
Volume | Issue number II
Pages (from-to) 330-338
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Stress has become part of the day-to-day life in the modern world. A major pathological repercussion of chronic stress (CS) is Type 2 Diabetes (T2D). Modelling T2D as a complex biological system involves combining under-the-skin and outside-the-skin parameters to properly define the dynamics involved. In this study, a compartmental model is built based on the various inter-players that constitute the hallmarks involved in the progression of this disease. Various compartments that constitute this model are tested in a glucose-disease progression setting with the help of an adjacent minimal model. Temporal dynamics of the glucose-disease progression was simulated to explore the contribution of different model parameters to T2D onset. The model simulations reveal CS as a critical modulator of T2D disease progression.
Document type Conference contribution
Language English
Published at
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