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Related Concept Videos

Glucose Homeostasis: Regulation of Blood Glucose01:02

Glucose Homeostasis: Regulation of Blood Glucose

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Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
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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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Updated: Mar 27, 2026

Simple Continuous Glucose Monitoring in Freely Moving Mice
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CGM Retrospective Data Analysis.

Gary Scheiner1

  • 1Integrated Diabetes Services , Wynnewood, Pennsylvania.

Diabetes Technology & Therapeutics
|January 20, 2016
PubMed
Summary

Continuous glucose monitoring (CGM) provides valuable data for diabetes management. Analyzing CGM reports helps optimize treatment by understanding glucose patterns, insulin action, and lifestyle impacts.

Area of Science:

  • Endocrinology
  • Metabolic Diseases
  • Medical Technology

Background:

  • Continuous glucose monitoring (CGM) is increasingly used for diabetes management and diagnostics.
  • Effective use of CGM data is crucial for improving clinical outcomes in patients with diabetes.

Purpose of the Study:

  • To highlight the importance of data analysis and interpretation from CGM systems.
  • To outline key areas for treatment optimization using CGM-derived insights.

Main Methods:

  • Downloading data from CGM devices.
  • Qualifying the accuracy and reliability of collected CGM data.
  • Generating comprehensive reports for clinical review.

Main Results:

  • Objective-based analysis of CGM reports offers insights into postprandial glucose.

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  • CGM data analysis aids in assessing overnight/basal glucose stability.
  • Evaluation of insulin action duration and glycemic response to interventions is facilitated.

    • Conclusions:

    • Accurate analysis of CGM data is essential for personalized diabetes care.
    • CGM interpretation enables fine-tuning of insulin dosing and lifestyle recommendations.
    • Enhanced understanding of glycemic variability improves patient management and outcomes.