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A simplified longitudinal model for the development of Type 2 Diabetes Mellitus.
De Gaetano, Andrea; Nagy, Ilona; Kiss, Daniel; Romanovski, Valery G; Hardy, Thomas A.
Affiliation
  • De Gaetano A; Consiglio Nazionale delle Ricerche, CNR-IASI Rome and CNR-IRIB Palermo, Italy; Department of Biomatics, Óbuda University, Budapest, Hungary.
  • Nagy I; Department of Analysis and Operations Research, Institute of Mathematics, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: nagyi@math.bme.hu.
  • Kiss D; John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary.
  • Romanovski VG; Center for Applied Mathematics and Theoretical Physics, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Electrical Engineering and Computer Science, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Natural Science and Mathematics, University of Maribor, SI-2000, Maribor, S
  • Hardy TA; Immunovant, Inc., NY, USA.
J Theor Biol ; 587: 111822, 2024 Jun 21.
Article in En | MEDLINE | ID: mdl-38589006
ABSTRACT
Obesity and diabetes are a progressively more and more deleterious hallmark of modern, well fed societies. In order to study the potential impact of strategies designed to obviate the pathological consequences of detrimental lifestyles, a model for the development of Type 2 diabetes geared towards large population simulations would be useful. The present work introduces such a model, representing in simplified fashion the interplay between average glycemia, average insulinemia and functional beta-cell mass, and incorporating the effects of excess food intake or, conversely, of physical activity levels. Qualitative properties of the model are formally established and simulations are shown as examples of its use.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 / Insulin / Models, Biological Limits: Humans Language: En Journal: J Theor Biol Year: 2024 Document type: Article Affiliation country: Hungary
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 / Insulin / Models, Biological Limits: Humans Language: En Journal: J Theor Biol Year: 2024 Document type: Article Affiliation country: Hungary