Abstract

Diabetes is a chronic, progressive disease that calls for longitudinal data and analysis. We introduce a longitudinal mathematical model that is capable of representing the metabolic state of an individual at any point in time during their progression from normal glucose tolerance to type 2 diabetes (T2D) over a period of years. As an application of the model, we account for the diversity of pathways typically followed, focusing on two extreme alternatives, one that goes through impaired fasting glucose (IFG) first and one that goes through impaired glucose tolerance (IGT) first. These two pathways are widely recognized to stem from distinct metabolic abnormalities in hepatic glucose production and peripheral glucose uptake, respectively. We confirm this but go beyond to show that IFG and IGT lie on a continuum ranging from high hepatic insulin resistance and low peripheral insulin resistance to low hepatic resistance and high peripheral resistance. We show that IFG generally incurs IGT and IGT generally incurs IFG on the way to T2D, highlighting the difference between innate and acquired defects and the need to assess patients early to determine their underlying primary impairment and appropriately target therapy. We also consider other mechanisms, showing that IFG can result from impaired insulin secretion, that non-insulin-dependent glucose uptake can also mediate or interact with these pathways, and that impaired incretin signaling can accelerate T2D progression. We consider whether hyperinsulinemia can cause insulin resistance in addition to being a response to it and suggest that this is a minor effect.

Highlights

  • 29 Diabetes is by definition a state of hyperglycemia, but its natural history is diverse

  • We introduce a longitudinal mathematical model that is capable of representing the metabolic state of an individual at any point in time during their progression from normal glucose tolerance to type 2 diabetes (T2D) over a period of years

  • In recognition of the fundamental character of type 2 diabetes (T2D) as a progressive disease that 525 develops over many years, we have established a longitudinal model for its pathogenesis

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Summary

Introduction

29 Diabetes is by definition a state of hyperglycemia, but its natural history is diverse. 55 These features of diabetes suggest that a longitudinal mathematical model for disease progression could be a valuable adjunct to clinical studies We establish such a model and demonstrate that it can distinguish hepatic and peripheral insulin resistance and can simulate the IGT-first and IFG-first pathways to T2D over a period of years. A common feature of those models is that they provide snapshots in time of the metabolic state of an individual, including insulin resistance and beta-cell function These models have been used to track progression by taking a series of snapshots, but they do not contain mechanisms of progression and do not describe trajectories of progression. Once the utility of the model is established, we expect that a wide variety of applications to clinical data will become possible

126 Materials and Methods
315 Results
Discussion
Limitations of the study
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