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Related Concept Videos

Type I Diabetes II: Pathophysiology01:26

Type I Diabetes II: Pathophysiology

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Type 1 diabetes mellitus arises from an immune-mediated destruction of pancreatic β-cells, resulting in an absolute deficiency of insulin. This process develops in genetically susceptible individuals when autoimmunity, environmental exposures, and immunologic dysregulation converge to trigger a targeted attack on the insulin-producing cells of the pancreas. The β-cells are located within the islets of Langerhans and are essential for regulating blood glucose by facilitating cellular...
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Type II Diabetes II: Pathophysiology01:24

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PathophysiologyType 2 diabetes mellitus (T2DM ) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to impaired glucose homeostasis. It results from interactions among genetic predisposition, environmental factors, and metabolic stressors, such as overnutrition and a sedentary lifestyle.Insulin Resistance and Glucose DysregulationEarly T2DM involves insulin resistance in skeletal muscle, adipose tissue, and the liver.
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Type II Diabetes I: Introduction01:26

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Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance, in which target tissues such as the liver, muscle, and adipose tissue respond poorly to insulin. It is also associated with inadequate compensatory insulin secretion, where pancreatic β-cells fail to produce sufficient insulin. Together, these abnormalities lead to persistent hyperglycemia.EtiologyT2DM develops through a complex interaction of genetic predisposition and environmental or...
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Diabetes Mellitus: Type 2 and Gestational01:22

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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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Carbohydrate Metabolism01:36

Carbohydrate Metabolism

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Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
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Diabetes Mellitus: Overview and Type I Subtype01:22

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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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Analysis of Beta-cell Function Using Single-cell Resolution Calcium Imaging in Zebrafish Islets
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β-Cell function in type 2 diabetes.

Ele Ferrannini1, Andrea Mari2

  • 1Department of Clinical & Experimental Medicine, University of Pisa, Italy.

Metabolism: Clinical and Experimental
|July 30, 2014
PubMed
Summary
This summary is machine-generated.

Accurate assessment of beta-cell (β-cell) function requires mathematical modeling, not single tests. Type 2 diabetes involves reduced beta-cell glucose sensitivity, a potentially reversible functional defect.

Keywords:
Clinical testingInsulin secretionType 2 diabetesβ-cell function

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Area of Science:

  • Endocrinology
  • Metabolic Diseases
  • Computational Biology

Background:

  • Assessing beta-cell (β-cell) function in vivo is complex due to modest correlations between various insulin secretion indices.
  • No single in vivo test accurately reflects overall β-cell function compared to insulin sensitivity.
  • Mathematical modeling is crucial for interpreting β-cell secretory responses.

Purpose of the Study:

  • To highlight the necessity of physiologically-based mathematical modeling for accurate β-cell function assessment.
  • To differentiate the roles of various tests in evaluating β-cell responses.
  • To define key parameters of β-cell function, particularly glucose sensitivity, in relation to type 2 diabetes.

Main Methods:

  • Analysis of intravenous and oral glucose tests using physiologically-based mathematical models.
  • Evaluation of insulin secretion indices and their correlation with insulin sensitivity.
  • Characterization of β-cell glucose sensitivity and its role in type 2 diabetes pathophysiology.

Main Results:

  • Mathematical modeling is essential for interpreting β-cell function from secretory responses.
  • Oral glucose or mixed meal tests may offer simpler and more physiologically relevant data than intravenous tests.
  • Reduced β-cell glucose sensitivity, not necessarily mass, is a hallmark of type 2 diabetes, often compensated by increased insulin secretion rates.
  • Impaired incretin effect accompanies reduced glucose sensitivity in type 2 diabetes.

Conclusions:

  • Accurate assessment of β-cell function necessitates physiologically-based mathematical modeling.
  • Reduced β-cell glucose sensitivity is a key functional defect in type 2 diabetes, potentially reversible.
  • Interventions improving glucose tolerance primarily enhance β-cell glucose sensitivity, though modifying the natural course of dysfunction remains challenging.