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Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model / Carlos Esteban Builes Montaño
Título : Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model Tipo de documento : documento electrónico Autores : Carlos Esteban Builes Montaño, Fecha de publicación : 2022 Títulos uniformes : Computers in Biology and Medicine Idioma : Inglés (eng) Palabras clave : Mathematical model Diabetes mellitus Glucose metabolism Liver Resumen : Background: The liver has a unique role in blood glucose regulation in postprandial, postabsorptive, and fasting states. In the context of diabetes technology, current maximal models of glucose homeostasis lack a proper dynamical description of main glucose-related fluxes acting over and from the liver, providing a rather simplistic estimation of key quantities as endogenous glucose production and insulin and glucagon clearance. Methods: Using a three-phase well-established phenomenological-based semi-physical modeling (PBSM) methodology, we built a detailed physiological model of hepatic glucose metabolism, including glucose utilization, endogenous glucose production through gluconeogenesis and glycogenolysis, and insulin and glucagon clearance. Mean absolute errors (MAE) were used to assess the goodness of fit of the proposed model against the data from three different in-vivo experiments -two oral glucose tolerance tests (OGTT) and a mixed meal challenge following overnight fasting-in healthy subjects. Results: Needing little parameter calibration, the proposed model predicts experimental systemic glucose mean ± std 5.4 ± 5.2, 7.5 ± 6.8, and 7.5 ± 7.5 mg/dL, in all three experiments. Low MAEs were also obtained for insulin and glucagon at the hepatic vein. Conclusions: The quantitative concordance of our model to the experimental data exhibits a potential for its use in the physiological study of glucose liver metabolism. The model structure and parameter interpretability allow the union with other semi-physical models for a better understanding of whole-body glucose homeostasis and its use in developing diabetes technology tools. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Perez, Jose Garcia-Tirado y Hernan Alvarez Referencia : Comput Biol Med. 2022 Mar;142:105232. DOI (Digital Object Identifier) : 10.1016/j.compbiomed.2022.105232 PMID : 35077932 Derechos de uso : CC BY En línea : https://linkinghub.elsevier.com/retrieve/pii/S0010482522000245 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6012 Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model [documento electrónico] / Carlos Esteban Builes Montaño, . - 2022.
Obra : Computers in Biology and Medicine
Idioma : Inglés (eng)
Palabras clave : Mathematical model Diabetes mellitus Glucose metabolism Liver Resumen : Background: The liver has a unique role in blood glucose regulation in postprandial, postabsorptive, and fasting states. In the context of diabetes technology, current maximal models of glucose homeostasis lack a proper dynamical description of main glucose-related fluxes acting over and from the liver, providing a rather simplistic estimation of key quantities as endogenous glucose production and insulin and glucagon clearance. Methods: Using a three-phase well-established phenomenological-based semi-physical modeling (PBSM) methodology, we built a detailed physiological model of hepatic glucose metabolism, including glucose utilization, endogenous glucose production through gluconeogenesis and glycogenolysis, and insulin and glucagon clearance. Mean absolute errors (MAE) were used to assess the goodness of fit of the proposed model against the data from three different in-vivo experiments -two oral glucose tolerance tests (OGTT) and a mixed meal challenge following overnight fasting-in healthy subjects. Results: Needing little parameter calibration, the proposed model predicts experimental systemic glucose mean ± std 5.4 ± 5.2, 7.5 ± 6.8, and 7.5 ± 7.5 mg/dL, in all three experiments. Low MAEs were also obtained for insulin and glucagon at the hepatic vein. Conclusions: The quantitative concordance of our model to the experimental data exhibits a potential for its use in the physiological study of glucose liver metabolism. The model structure and parameter interpretability allow the union with other semi-physical models for a better understanding of whole-body glucose homeostasis and its use in developing diabetes technology tools. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Perez, Jose Garcia-Tirado y Hernan Alvarez Referencia : Comput Biol Med. 2022 Mar;142:105232. DOI (Digital Object Identifier) : 10.1016/j.compbiomed.2022.105232 PMID : 35077932 Derechos de uso : CC BY En línea : https://linkinghub.elsevier.com/retrieve/pii/S0010482522000245 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6012 Reserva
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AC-2022-018Adobe Acrobat PDF STUDIA: An application to support carbohydrate counting by simulating glucose dynamics / Carlos Esteban Builes Montaño
Título : STUDIA: An application to support carbohydrate counting by simulating glucose dynamics Otros títulos : STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa Tipo de documento : documento electrónico Autores : Carlos Esteban Builes Montaño, Fecha de publicación : 2022 Títulos uniformes : Revista Colombiana de Endocrinología Diabetes y Metabolismo Idioma : Inglés (eng) Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6074 STUDIA: An application to support carbohydrate counting by simulating glucose dynamics = STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa [documento electrónico] / Carlos Esteban Builes Montaño, . - 2022.
Obra : Revista Colombiana de Endocrinología Diabetes y Metabolismo
Idioma : Inglés (eng)
Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6074 Reserva
Reservar este documentoEjemplares(1)
Código de barras Número de Ubicación Tipo de medio Ubicación Sección Estado DD001918 AC-2022-082 Archivo digital Producción Científica Artículos científicos Disponible Documentos electrónicos
AC-2022-082Adobe Acrobat PDF