A Mathematical Modeling Approach to Estimate Blood Glucose Behavior in Individuals with Prediabetes.
Background: Glucose homeostasis is a crucial physiological process, and its disruption is closely linked to the onset of Type 2 Diabetes Mellitus (T2DM), a major global health issue. Objective: This study presents a novel mathematical model to describe glucose dynamics in both healthy individuals an...
| Publicado en: | Diabetology Vol. 6; no. 11; pp. 123 - 141 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
MDPI
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189653197&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189653197 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 26734540 N1A2 jtl: Diabetology issn: 26734540 maglogo: N pubinfo: dt: Nov2025 vid: 6 iid: 11 pid: 97109 pub: MDPI artinfo: ui: 189653197 189653197 189653197 10.3390/diabetology6110123 189653197 ppf: 123 ppct: 18 formats: tig: atl: A Mathematical Modeling Approach to Estimate Blood Glucose Behavior in Individuals with Prediabetes. aug: au: Alonso-Bastida, Alexis Salazar-Piña, Dolores Azucena Adam-Medina, Manuel Gutiérrez-Xicotencatl, Lourdes Ríos-Enríquez, Christian Ramos-García, Margarita Villanueva-Vásquez, Daniel affil: Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Cuernavaca 62100, Morelos, Mexico sug: subj: Prediabetic State Risk Factors Blood Glucose Analysis Models, Statistical Risk Assessment Human Male Female Adult Middle Age Experimental Studies Continuous Glucose Monitoring Food Intake Diabetic Patients Physical Activity Phenotype Body Mass Index Spearman's Rank Correlation Coefficient Scales Funding Source Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Glucose homeostasis is a crucial physiological process, and its disruption is closely linked to the onset of Type 2 Diabetes Mellitus (T2DM), a major global health issue. Objective: This study presents a novel mathematical model to describe glucose dynamics in both healthy individuals and those with prediabetic risk factors. Methods: We analyzed 311 days of continuous glucose monitoring data from 43 participants (14 healthy and 29 at risk, aged 25–55), using a Dual Extended Kalman Filter to estimate parameters and unmeasurable variables, while accounting for parametric variability. We applied the Levenberg–Marquardt algorithm to minimize estimation error. Results: Based on average parameter values and standardized inputs, 311 simulations were conducted, showing strong agreement with experimental data (r = 0.98, p < 0.01). Conclusions: The model provides an accurate representation of glucose regulation and serves as a valuable in-silico tool for advancing preventive strategies against T2DM, marking one of the first models specifically tailored to individuals with prediabetes. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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