ArticlePloS one2019
A novel fast-slow model of diabetes progression: Insights into mechanisms of response to the interventions in the Diabetes Prevention Program.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Evaluating the role of alpha cell dysregulation in the progression to type 2 diabetes using mathematical simulations.Diabetologia · 2025Article
- Article
- A mathematical model for ketosis-prone diabetes suggests the existence of multiple pancreatic β-cell inactivation mechanisms.bioRxiv : the preprint server for biology · 2025Article
- An extended minimal model of OGTT: estimation of α- and β-cell dysfunction, insulin resistance, and the incretin effect.American journal of physiology. Endocrinology and metabolism · 2024Article
- A data-driven computational model for obesity-driven diabetes onset and remission through weight loss.iScience · 2023Article
- DI/cle, a Measure Consisting of Insulin Sensitivity, Secretion, and Clearance, Captures Diabetic States.The Journal of clinical endocrinology and metabolism · 2023Article
- The progression of secondary diabetes: A review of modeling studies.Frontiers in endocrinology · 2022Review
- A glucose-insulin-glucagon coupled model of the isoglycemic intravenous glucose infusion experiment.Frontiers in physiology · 2022Article
- Type 2 diabetes: one disease, many pathways.American journal of physiology. Endocrinology and metabolism · 2020Article
- Mathematical Modeling for the Physiological and Clinical Investigation of Glucose Homeostasis and Diabetes.Frontiers in physiology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several models for the long-term development of T2DM already exist, focusing on the dynamics of the interaction between glycemia, insulinemia and β-cell mass. Current models consider representative (fasting or daily average) glycemia and insulinemia as characterizing the compensation state of the subject at some instant in slow time. This implies that only these representative levels can be followed through time and that the role of fast glycemic oscillations is neglected. An improved model (DPM15) for the long-term progression of T2DM is proposed, introducing separate peripheral and hepatic (liver and kidney) insulin actions. The DPM15 model no longer uses near-equilibrium approximation to separate fast and slow time scales, but rather describes, at each step in slow time, a complete day in the life of the virtual subject in fast time. The model can thus represent both fasting and postprandial glycemic levels and describe the effect of interventions acting on insulin-enhanced tissue glucose disposal or on insulin-inhibited hepatic glucose output, as well as on insulin secretion and β-cell replicating ability. The model can simulate long-term variations of commonly used clinical indices (HOMA-B, HOMA-IR, insulinogenic index) as well as of Oral Glucose Tolerance or Euglycemic Hyperinsulinemic Clamp test results. The model has been calibrated against observational data from the Diabetes Prevention Program study: it shows good adaptation to observations as a function of very plausible values of the parameters describing the effect of such interventions as Placebo, Intensive LifeStyle and Metformin administration.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.