ArticleScientific reports2020
Mathematical model of blood glucose dynamics by emulating the pathophysiology of glucose metabolism in type 2 diabetes mellitus.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 47 citations in OpenAlex.
- Article
- A Lumped-Parameter Model of the Cardiovascular System Response for Evaluating Automated Fluid Resuscitation Systems.IEEE access : practical innovations, open solutions · 2024Article
- Comprehensive Study of a Diabetes Mellitus Mathematical Model Using Numerical Methods with Stability and Parametric Analysis.International journal of environmental research and public health · 2023Article
- Deciphering signal transduction networks in the liver by mechanistic mathematical modelling.The Biochemical journal · 2022Article
- Minimally-Invasive and Efficient Method to Accurately Fit the Bergman Minimal Model to Diabetes Type 2.Cellular and molecular bioengineering · 2022Article
- The progression of secondary diabetes: A review of modeling studies.Frontiers in endocrinology · 2022Review
- Long-Acting Risperidone Dual Control System: Preparation, Characterization and Evaluation In Vitro and In Vivo.Pharmaceutics · 2021Article
- The Impact of Incretin-Based Medications on Lipid Metabolism.Journal of diabetes research · 2021Article
- A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo.PloS one · 2021Article
- Impact of Incretin-Based Therapies on Adipokines and Adiponectin.Journal of diabetes research · 2021Review
- The emergence of new trends in clinical laboratory diagnosis.Saudi medical journal · 2020Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical modelling has established itself as a theoretical tool to understand fundamental aspects of a variety of medical-biological phenomena. The predictive power of mathematical models on some chronic conditions has been helpful in its proper prevention, diagnosis, and treatment. Such is the case of the modelling of glycaemic dynamics in type 2 diabetes mellitus (T2DM), whose physiology-based mathematical models have captured the metabolic abnormalities of this disease. Through a physiology-based pharmacokinetic-pharmacodynamic approach, this work addresses a mathematical model whose structure starts from a model of blood glucose dynamics in healthy humans. This proposal is capable of emulating the pathophysiology of T2DM metabolism, including the effect of gastric emptying and insulin enhancing effect due to incretin hormones. The incorporation of these effects lies in the implemented methodology since the mathematical functions that represent metabolic rates, with a relevant contribution to hyperglycaemia, are adjusting individually to the clinical data of patients with T2DM. Numerically, the resulting model successfully simulates a scheduled graded intravenous glucose test and oral glucose tolerance tests at different doses. The comparison between simulations and clinical data shows an acceptable description of the blood glucose dynamics in T2DM. It opens the possibility of using this model to develop model-based controllers for the regulation of blood glucose in T2DM.
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