Literature DB >> 15919783

Continuous glucose monitoring in interstitial subcutaneous adipose tissue and skeletal muscle reflects excursions in cerebral cortex.

Jannik Kruse Nielsen1, Christian Born Djurhuus, Claus Højbjerg Gravholt, Andreas Christiansen Carus, Jacob Granild-Jensen, Hans Orskov, Jens Sandahl Christiansen.   

Abstract

Continuous glucose monitoring (CGM) is being explored using several types of glucose sensors. Some are designed for subcutaneous adipose tissue. It is important to determine to which extent these glucose fluctuations in different tissues reflect changes taking place in the central nervous system, where glucose sensing is thought to occur. We studied the ability of subcutaneous adipose interstitial fluid measurements to parallel glucose propagations in blood, muscle, and central nervous system (CNS) during hyper- and hypoglycemia. A subcutaneous CGM system was applied in the CNS, subcutaneous adipose tissue, and skeletal muscle of nine Vietnamese potbellied pigs, and data were compared with frequent sampling in blood. Alterations in glucose levels were induced with intravenous glucose and insulin. During hyperglycemia, no difference was detected in delay between blood and interstitial glucose levels in subcutaneous adipose tissue (18.0 +/- 0.8 min), muscle (18.0 +/- 0.9 min), and CNS (20.3 +/- 1.2 min), respectively. During hypoglycemia, we found no time difference between interstitial parameters in the three tissues. However, the amplitude of glucose changes varied considerably, with a smaller magnitude of glucose change taking place in the brain. The timing of glucose excursions in subcutaneous adipose tissue and muscle reflect excursions in CNS. The reduced magnitude of glucose excursions in the brain suggests that different mechanisms of glucose transport are operative in CNS compared with subcutaneous adipose tissue and muscle.

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Year:  2005        PMID: 15919783     DOI: 10.2337/diabetes.54.6.1635

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  15 in total

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Review 2.  A tale of two compartments: interstitial versus blood glucose monitoring.

Authors:  Eda Cengiz; William V Tamborlane
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

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Journal:  Anal Chem       Date:  2010-05-01       Impact factor: 6.986

4.  Use of continuous glucose monitoring in the detection and prevention of hypoglycemia.

Authors:  Howard A Wolpert
Journal:  J Diabetes Sci Technol       Date:  2007-01

5.  Clinical overview of continuous glucose monitoring.

Authors:  Bruce Buckingham
Journal:  J Diabetes Sci Technol       Date:  2008-03

6.  Diabetes Mellitus and Blood-Brain Barrier Dysfunction: An Overview.

Authors:  Shikha Prasad; Ravi K Sajja; Pooja Naik; Luca Cucullo
Journal:  J Pharmacovigil       Date:  2014-06

7.  Adenosine concentration in the porcine coronary artery wall and A2A receptor involvement in hypoxia-induced vasodilatation.

Authors:  Ole Frøbert; Gesine Haink; Ulf Simonsen; Claus H Gravholt; Max Levin; Andreas Deussen
Journal:  J Physiol       Date:  2005-11-10       Impact factor: 5.182

8.  Continuous subcutaneous glucose monitoring shows a close correlation between mean glucose and time spent in hyperglycemia and hemoglobin A1c.

Authors:  Jannik Kruse Nielsen; Claus Højbjerg Gravholt; Christian Born Djurhuus; Derek Brandt; Joern Becker; Lutz Heinemann; Jens Sandahl Christiansen
Journal:  J Diabetes Sci Technol       Date:  2007-11

9.  Putative delays in interstitial fluid (ISF) glucose kinetics can be attributed to the glucose sensing systems used to measure them rather than the delay in ISF glucose itself.

Authors:  Gayane Voskanyan; D Barry Keenan; John J Mastrototaro; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2007-09

10.  Modeling of Calibration Effectiveness and Blood-to-Interstitial Glucose Dynamics as Potential Confounders of the Accuracy of Continuous Glucose Sensors during Hyperinsulinemic Clamp.

Authors:  Christopher King; Stacey M Anderson; Marc Breton; William L Clarke; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2007-05
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