Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors

Autor: Alexis Alonso-Bastida, Manuel Adam-Medina, Rubén Posada-Gómez, Dolores Azucena Salazar-Piña, Gloria-Lilia Osorio-Gordillo, Luis Gerardo Vela-Valdés
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Environmental Research and Public Health, Vol 19, Iss 716, p 716 (2022)
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health; Volume 19; Issue 2; Pages: 716
ISSN: 1661-7827
1660-4601
Popis: This work presents a mathematical model of homeostasis dynamics in healthy individuals, focusing on the generation of conductive data on glucose homeostasis throughout the day under dietary and physical activity factors. Two case studies on glucose dynamics for populations under conditions of physical activity and sedentary lifestyle were developed. For this purpose, two types of virtual populations were generated, the first population was developed according to the data of a total of 89 physical persons between 20 and 75 years old and the second was developed using the Monte Carlo approach, obtaining a total of 200 virtual patients. In both populations, each participant was classified as an active or sedentary person depending on the physical activity performed. The results obtained demonstrate the capacity of virtual populations in the generation of in-silico approximations similar to those obtained from in-vivo studies. Obtaining information that is only achievable through specific in-vivo experiments. Being a tool that generates information for the approach of alternatives in the prevention of the development of type 2 Diabetes.
Databáze: OpenAIRE