Literature DB >> 12684220

Assessment of transcapillary glucose exchange in human skeletal muscle and adipose tissue.

Werner Regittnig1, Martin Ellmerer, Günter Fauler, Gerald Sendlhofer, Zlatko Trajanoski, Hans-Jörg Leis, Lukas Schaupp, Paul Wach, Thomas R Pieber.   

Abstract

We studied the kinetics of glucose exchange between plasma and interstitial fluid (ISF) in human skeletal muscle and adipose tissue under fasting conditions. Five normal human subjects received an intravenous [6,6-2H2]glucose infusion in a prime-continuous fashion. During the tracer infusion, the open-flow microperfusion technique was employed to frequently sample ISF from quadriceps muscle and subcutaneous adipose tissue. The tracer glucose kinetics observed in muscle and adipose tissue ISF were found to be well described by a capillary-tissue exchange model. As a measure of transcapillary glucose exchange efficiency, the 95% equilibrium time was calculated from the identified model parameters. This time constant was similar for skeletal muscle and adipose tissue (28.6 +/- 3.2 vs. 26.8 +/- 3.6 min; P = 0.60). Furthermore, we found that the (total) interstitial glucose concentration was significantly lower (P < 0.01) in muscle (3.32 +/- 0.46 mmol/l) and adipose tissue (3.51 +/- 0.17 mmol/l) compared with arterialized plasma levels (5.56 +/- 0.13 mmol/l). Thus the observed gradients and dynamic relationships between plasma and ISF glucose in muscle and adipose tissue provide evidence that transcapillary exchange of glucose is limited in these two tissues under fasting conditions.

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Year:  2003        PMID: 12684220     DOI: 10.1152/ajpendo.00351.2002

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  14 in total

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2.  Discrepancies Between Blood Glucose and Interstitial Glucose: Technological Artifacts or Physiology: A Reply.

Authors:  Eberhard Biermann
Journal:  J Diabetes Sci Technol       Date:  2018-05-20

3.  Increased Skeletal Muscle Capillarization Independently Enhances Insulin Sensitivity in Older Adults After Exercise Training and Detraining.

Authors:  Steven J Prior; Andrew P Goldberg; Heidi K Ortmeyer; Eva R Chin; Dapeng Chen; Jacob B Blumenthal; Alice S Ryan
Journal:  Diabetes       Date:  2015-06-11       Impact factor: 9.461

4.  Contribution of an intrinsic lag of continuous glucose monitoring systems to differences in measured and actual glucose concentrations changing at variable rates in vitro.

Authors:  Raymond J Davey; Chee Low; Timothy W Jones; Paul A Fournier
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

Review 5.  Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives.

Authors:  Sémah Tagougui; Nadine Taleb; Joséphine Molvau; Élisabeth Nguyen; Marie Raffray; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2019-08-13

6.  Glucose partition coefficient and diffusivity in the lower skin layers.

Authors:  Enam Khalil; Kosmas Kretsos; Gerald B Kasting
Journal:  Pharm Res       Date:  2006-05-26       Impact factor: 4.200

7.  A Comparison of Time Delay in Three Continuous Glucose Monitors for Adolescents and Adults.

Authors:  Manasi Sinha; Katherine M McKeon; Savan Parker; Laura G Goergen; Hui Zheng; Firas H El-Khatib; Steven J Russell
Journal:  J Diabetes Sci Technol       Date:  2017-05-01

8.  Interstitial Fluid Glucose Is Not Just a Shifted-in-Time but a Distorted Mirror of Blood Glucose: Insight from an In Silico Study.

Authors:  Claudio Cobelli; Michele Schiavon; Chiara Dalla Man; Ananda Basu; Rita Basu
Journal:  Diabetes Technol Ther       Date:  2016-06-02       Impact factor: 6.118

9.  Structural basis of GLUT1 inhibition by cytoplasmic ATP.

Authors:  David M Blodgett; Julie K De Zutter; Kara B Levine; Pusha Karim; Anthony Carruthers
Journal:  J Gen Physiol       Date:  2007-07-16       Impact factor: 4.086

10.  A mathematical model of brain glucose homeostasis.

Authors:  Lu Gaohua; Hidenori Kimura
Journal:  Theor Biol Med Model       Date:  2009-11-27       Impact factor: 2.432

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