ArticlePLoS computational biology2023
Modeling the progression of Type 2 diabetes with underlying obesity.
Article in PLoS computational biology, 2023. 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, 14 citations in OpenAlex.
- Quantification of beta-cell carrying capacity in prediabetes.PLoS computational biology · 2026Article
- Is high insulin protective or detrimental? Mathematical modeling reveals the base of the iceberg.American journal of physiology. Endocrinology and metabolism · 2026Article
- Article
- Evaluating the role of alpha cell dysregulation in the progression to type 2 diabetes using mathematical simulations.Diabetologia · 2025Article
- Article
- Fatty acids and physical activity are critical for β-cell mass and insulin sensitivity: Pathways to T2D and prevention.Journal of theoretical biology · 2025Article
- Healthy lifestyle associated with dynamic progression of type 2 diabetes: A multi-state analysis of a prospective cohort.Journal of global health · 2024Article
- A data-driven computational model for obesity-driven diabetes onset and remission through weight loss.iScience · 2023Article
- Prevalence of haemoglobin A1c based dysglycaemia among adult community dwellers in selected states in Nigeria: a descriptive cross-sectional study.Frontiers in endocrinology · 2023Article
- The progression of secondary diabetes: A review of modeling studies.Frontiers in endocrinology · 2022Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmentally induced or epigenetic-related beta-cell dysfunction and insulin resistance play a critical role in the progression to diabetes. We developed a mathematical modeling framework capable of studying the progression to diabetes incorporating various diabetogenic factors. Considering the heightened risk of beta-cell defects induced by obesity, we focused on the obesity-diabetes model to further investigate the influence of obesity on beta-cell function and glucose regulation. The model characterizes individualized glucose and insulin dynamics over the span of a lifetime. We then fit the model to the longitudinal data of the Pima Indian population, which captures both the fluctuations and long-term trends of glucose levels. As predicted, controlling or eradicating the obesity-related factor can alleviate, postpone, or even reverse diabetes. Furthermore, our results reveal that distinct abnormalities of beta-cell function and levels of insulin resistance among individuals contribute to different risks of diabetes. This study may encourage precise interventions to prevent diabetes and facilitate individualized patient treatment.
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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 OpenQuestion graph.