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Quantifying beta cell function in the preclinical stages of type 1 diabetes
Alfonso Galderisi1, Alice L J Carr2, Mariangela Martino3
1Department of Pediatrics, Yale University, New Haven, CT, USA.
Tracking changes in beta cell function is crucial for understanding type 1 diabetes progression. This review explores metabolic tests and modeling to monitor insulin secretion and sensitivity during pre-symptomatic stages.
Area of Science:
- Endocrinology and Metabolism
- Immunology
- Diabetes Research
Background:
- Type 1 diabetes (T1D) progresses through pre-symptomatic stages (Stage 1 and 2) before clinical symptoms arise.
- This progression involves the autoimmune destruction of pancreatic beta cells, leading to impaired insulin production.
- Early detection and monitoring of beta cell function are vital for managing T1D and testing interventions.
Purpose of the Study:
- To review metabolic changes in early pre-symptomatic type 1 diabetes.
- To identify reliable metabolic tests for tracking beta cell function longitudinally.
- To discuss the application of metabolic modeling and novel monitoring techniques.
Main Methods:
- Review of existing literature on metabolic alterations in pre-symptomatic T1D.
- Analysis of dynamic tests like the Oral Glucose Tolerance Test (OGTT).
- Evaluation of metabolic modeling, risk indices, and continuous glucose monitoring (CGM) data.
Main Results:
- Pre-symptomatic T1D is characterized by declining beta cell mass and function, with varying glucose tolerance.
- Metabolic modeling can quantify insulin secretion and sensitivity changes.
- OGTT, risk indices, and CGM offer measurable outcomes for disease tracking.
Conclusions:
- Accurate assessment of beta cell function is essential for monitoring T1D development.
- A combination of dynamic testing, metabolic modeling, and CGM holds promise for early detection and intervention.
- Longitudinal tracking of metabolic changes aids in understanding disease trajectory and therapeutic efficacy.
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