Protocol for analyzing emergence dynamics of diabetes with obesity using numerical continuation and bifurcation analysis.
| Autor: | Yildirim V; Department of Public and Occupational Health, Amsterdam University Medical Centers, University of Amsterdam, 1081 BT Amsterdam, the Netherlands; Institute for Advanced Study, University of Amsterdam, 1012 GC Amsterdam, the Netherlands. Electronic address: v.yildirim@amsterdamumc.nl., Sloot PMA; Institute for Advanced Study, University of Amsterdam, 1012 GC Amsterdam, the Netherlands; Computational Science Lab, University of Amsterdam, 1098 XH Amsterdam, the Netherlands. Electronic address: pmasloot@uva.nl. |
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| Jazyk: | angličtina |
| Zdroj: | STAR protocols [STAR Protoc] 2024 Mar 15; Vol. 5 (1), pp. 102880. Date of Electronic Publication: 2024 Feb 12. |
| DOI: | 10.1016/j.xpro.2024.102880 |
| Abstrakt: | Type 2 diabetes (T2D) is a multifactorial disease that slowly and inconspicuously progresses over years. Here, we present a protocol for analyzing slow progression dynamics of T2D with obesity. We describe steps for using software to exploit the differences between the timescales of the metabolic variables and using numerical continuation and bifurcation analysis. We detail procedures to analyze bi-stable system dynamics and identify the thresholds that separate healthy and diabetic states. For complete details on the use and execution of this protocol, please refer to Yildirim et al. (2023). 1 . Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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