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

Author

Listed:
  • Alexis Alonso-Bastida

    (Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico)

  • Manuel Adam-Medina

    (Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico)

  • Rubén Posada-Gómez

    (TecNM/CRODE, Orizaba 94380, Veracruz, Mexico)

  • Dolores Azucena Salazar-Piña

    (Faculty of Nutrition, UAEM, Cuernavaca 62350, Morelos, Mexico)

  • Gloria-Lilia Osorio-Gordillo

    (Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico)

  • Luis Gerardo Vela-Valdés

    (Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico)

Abstract

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.

Suggested Citation

  • Alexis Alonso-Bastida & Manuel Adam-Medina & Rubén Posada-Gómez & Dolores Azucena Salazar-Piña & Gloria-Lilia Osorio-Gordillo & Luis Gerardo Vela-Valdés, 2022. "Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:716-:d:720895
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    References listed on IDEAS

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    1. Navid Resalat & Joseph El Youssef & Nichole Tyler & Jessica Castle & Peter G Jacobs, 2019. "A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.
    2. Tashi Dendup & Xiaoqi Feng & Stephanie Clingan & Thomas Astell-Burt, 2018. "Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review," IJERPH, MDPI, vol. 15(1), pages 1-25, January.
    3. Sayyar Ahmad & Charrise M. Ramkissoon & Aleix Beneyto & Ignacio Conget & Marga Giménez & Josep Vehi, 2021. "Generation of Virtual Patient Populations That Represent Real Type 1 Diabetes Cohorts," Mathematics, MDPI, vol. 9(11), pages 1-15, May.
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