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A data-driven computational model for obesity-driven diabetes onset and remission through weight loss

Vehpi Yildirim1,2, Vivek M Sheraton2,3,4, Ruud Brands5,6

  • 1Department of Public and Occupational Health, Amsterdam University Medical Centers, University of Amsterdam, 1081 BT Amsterdam, the Netherlands.

Iscience
|November 29, 2023
PubMed

Insights

Sustained weight loss can lead to type 2 diabetes (T2D) remission in individuals with obesity. A computational model reveals T2D onset thresholds and remission conditions, highlighting a critical

Area of Science:

  • Metabolic disease modeling
  • Computational biology
  • Diabetes research

Background:

  • Obesity is a primary risk factor for type 2 diabetes (T2D).
  • Weight loss can induce T2D remission in obese individuals.
  • Simultaneous study of T2D progression and remission is crucial for intervention design.

Purpose of the Study:

  • To develop a data-driven computational model for investigating T2D progression and remission.
  • To analyze T2D emergence and remission dynamics on a unified timeline using human data.
  • To identify key factors influencing the window of opportunity for T2D remission.

Main Methods:

  • Development of a novel data-driven computational model.
  • Utilized human data to simulate T2D progression and weight loss-induced remission.
  • Analysis of thresholds for T2D onset and conditions for remission.

Main Results:

  • Identified critical thresholds for the onset of T2D in individuals with obesity.
  • Determined necessary conditions for achieving T2D remission through weight loss.
  • Demonstrated that T2D remission is possible only within a specific 'window of opportunity'.

Conclusions:

  • The timing and extent of T2D remission depend on disease progression history, metabolic state, and calorie restriction.
  • Computational modeling provides a framework to study T2D progression and remission dynamics.
  • Findings can inform optimized therapeutic strategies for T2D prevention and treatment.
Keywords:
BioinformaticsComputational bioinformaticsHuman metabolism

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