Beta-Cell Modeling Vignette

Beta-Cell Modeling Vignette
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Glucose modulation, bistability, and feedback mechanisms in beta-cell modeling shed light on the heart of diabetes pathogenesis. Explore the intertwined dynamics of positive and negative feedback, oscillations, and implications for cellular behavior and function. Discover how the Chay-Keizer model, calcium dynamics, and the role of endoplasmic reticulum contribute to understanding beta-cell function. A journey through research milestones and predictions, offering insights into the intricate world of cellular dynamics in health and disease.

  • Beta-Cell Modeling
  • Diabetes Pathogenesis
  • Feedback Mechanisms
  • Calcium Dynamics
  • Cellular Behavior

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  1. Beta-Cell Modeling Vignette Artie Sherman NIH/NIDDK Laboratory of Biological Modeling

  2. Humble Beginnings A Half Century Ago Glucose modulates plateau fraction of fast bursting Beta-cell failure at the heart of diabetes pathogenesis

  3. Chay-Keizer Model for Bursting Fast positive feedback Slow negative feedback Produces bistability Cell can be spiking or silent at a given value of Ca Biophys. J. 1983 42:181

  4. Chay-Keizer Model Biophys. J. 1983 42:181 dV = C I I I I ( ) ( ) ( ) m Ca K V K Ca K ATP dt ( ) V dn n V n = ( ) dt n dCa = ( ) f I k Ca Ca dt

  5. Bistability Demonstrated by Resetting Cook, Porte, Crill, Am. J. Physiol. 1981, E290

  6. Isolated Rat Somatotroph Looks similar, similar channel mechanism But math says it s different no bistability A missing element in the periodic table of bursting

  7. Effect of Increasing Glucose Increased Ca2+ pump rate Decreased K(ATP) conductance

  8. Chay-Keizer Prediction: Slow, Sawtooth Calcium

  9. Calcium Oscillates, but not a Sawtooth Zhang .. Satin, Biophys. J. 84:2852, 2003

  10. Resolve by Adding Endoplasmic Reticulum Jout Cytoplasm Jin Jin,er Jout,er ER Endoplasmic Reticulum

  11. Chay-Keizer with ER Predicted 2004, measured 2011 Ravier et al, Diabetes 60:2533

  12. Summary Positive and negative feedback combine for complex dynamics Threshold Bistability Oscillations Slow variables sweep fast variables through a range of quasi-steady states Bursting Models can be tested by predictions (binary/qualitative) Cycles of prediction and modification Theory goes beyond fitting data to a coherent matrix into which disparate observations can be explained Guides therapy

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