Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set
| Authors |
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| Publication date | 2023 |
| Host editors |
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| Book title | Computational Science – ICCS 2023 |
| Book subtitle | 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings |
| ISBN |
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| ISBN (electronic) |
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| 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 |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-031-36021-3_34
(Final published version)
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