Literature DB >> 16001232

Interstitial fluid glucose dynamics during insulin-induced hypoglycaemia.

G M Steil1, K Rebrin, F Hariri, S Jinagonda, S Tadros, C Darwin, M F Saad.   

Abstract

AIMS/HYPOTHESIS: Glucose sensors often measure s.c. interstitial fluid (ISF) glucose rather than blood or plasma glucose. Putative differences between plasma and ISF glucose include a protracted delay during the recovery from hypoglycaemia and an increased gradient during hyperinsulinaemia. These have often been investigated using sensor systems that have delays due to signal smoothing, or require long equilibration times. The aim of the present study was to define these relationships during hypoglycaemia in a well-equilibrated system with no smoothing.
METHODS: Hypoglycaemia was induced by i.v. insulin infusion (360 pmol.m(-2).min(-1)) in ten non-diabetic subjects. Glucose was sequentially clamped at approximately 5, 4.2 and 3.1 mmol/l and allowed to return to normoglycaemia. Subjects wore two s.c. glucose sensors (Medtronic MiniMed, Northridge, CA, USA) that had been inserted for more than 12 h. A two-compartment model was used to quantify the delay and gradient.
RESULTS: The delay during the fall in plasma glucose was not different from the delay during recovery (8.3+/-0.67 vs 6.3+/-1.1 min; p=0.27) and no differences were observed in the ratio of sensor current to plasma glucose at basal insulin (2.7+/-0.25 nA.mmol(-1).l) compared with any of the hyperinsulinaemic clamp phases (2.8+/-0.18, 2.7+/-0.021, 2.9+/-0.21; p=NS). The ratio was significantly elevated following recovery to normoglycaemia (3.1+/-0.2 nA.mmol(-1).l; p<0.001). CONCLUSIONS/
INTERPRETATION: The elevated ratio suggests that the plasma to ISF glucose gradient was decreased following hypoglycaemia, possibly due to increased skin blood flow. Recovery from hypoglycaemia is not accompanied by a protracted delay and insulin does not increase the plasma to s.c. ISF glucose gradient.

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Year:  2005        PMID: 16001232     DOI: 10.1007/s00125-005-1852-x

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  24 in total

1.  Subcutaneous glucose sensor values closely parallel blood glucose during insulin-induced hypoglycaemia.

Authors:  N J Caplin; P O'Leary; M Bulsara; E A Davis; T W Jones
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2.  Performance of a continuous glucose monitoring system during controlled hypoglycaemia in healthy volunteers.

Authors:  E H Cheyne; D A Cavan; D Kerr
Journal:  Diabetes Technol Ther       Date:  2002       Impact factor: 6.118

Review 3.  Does fall in tissue glucose precede fall in blood glucose?

Authors:  F Sternberg; C Meyerhoff; F J Mennel; H Mayer; F Bischof; E F Pfeiffer
Journal:  Diabetologia       Date:  1996-05       Impact factor: 10.122

4.  Detection of hypoglycaemia by microdialysis measurements of glucose in subcutaneous adipose tissue.

Authors:  E Moberg; E Hagström-Toft; J Bolinder
Journal:  Horm Metab Res       Date:  1997-09       Impact factor: 2.936

5.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

Review 6.  Can interstitial glucose assessment replace blood glucose measurements?

Authors:  K Rebrin; G M Steil
Journal:  Diabetes Technol Ther       Date:  2000       Impact factor: 6.118

7.  Lack of cutaneous hyperemia in response to insulin-induced hypoglycemia in IDDM.

Authors:  J Aman; C Berne; U Ewald; T Tuvemo
Journal:  Diabetes Care       Date:  1990-10       Impact factor: 19.112

8.  Protracted glucose fall in subcutaneous adipose tissue and skeletal muscle compared with blood during insulin-induced hypoglycaemia.

Authors:  E Moberg; E Hagström-Toft; P Arner; J Bolinder
Journal:  Diabetologia       Date:  1997-11       Impact factor: 10.122

9.  Glucose uptake and perfusion in subcutaneous and visceral adipose tissue during insulin stimulation in nonobese and obese humans.

Authors:  Kirsi A Virtanen; Peter Lönnroth; Riitta Parkkola; Pauliina Peltoniemi; Markku Asola; Tapio Viljanen; Tuula Tolvanen; Juhani Knuuti; Tapani Rönnemaa; Risto Huupponen; Pirjo Nuutila
Journal:  J Clin Endocrinol Metab       Date:  2002-08       Impact factor: 5.958

Review 10.  Hemodynamic actions of insulin.

Authors:  A D Baron
Journal:  Am J Physiol       Date:  1994-08
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  54 in total

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Authors:  D Barry Keenan; Benyamin Grosman; Harry W Clark; Anirban Roy; Stuart A Weinzimer; Rajiv V Shah; John J Mastrototaro
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

2.  Real-time glucose estimation algorithm for continuous glucose monitoring using autoregressive models.

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3.  Effect of short-term use of a continuous glucose monitoring system with a real-time glucose display and a low glucose alarm on incidence and duration of hypoglycemia in a home setting in type 1 diabetes mellitus.

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

4.  Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset.

Authors:  Kerstin Rebrin; Norman F Sheppard; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

5.  Continuous glucose monitoring in subjects with type 1 diabetes: improvement in accuracy by correcting for background current.

Authors:  Joseph El Youssef; Jessica R Castle; Julia M Engle; Ryan G Massoud; W Kenneth Ward
Journal:  Diabetes Technol Ther       Date:  2010-09-30       Impact factor: 6.118

6.  Modeling Plasma-to-Interstitium Glucose Kinetics from Multitracer Plasma and Microdialysis Data.

Authors:  Michele Schiavon; Chiara Dalla Man; Simmi Dube; Michael Slama; Yogish C Kudva; Thomas Peyser; Ananda Basu; Rita Basu; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2015-08-27       Impact factor: 6.118

7.  Comparison of the numerical and clinical accuracy of four continuous glucose monitors.

Authors:  Boris Kovatchev; Stacey Anderson; Lutz Heinemann; William Clarke
Journal:  Diabetes Care       Date:  2008-03-13       Impact factor: 19.112

Review 8.  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

9.  Graphical and numerical evaluation of continuous glucose sensing time lag.

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Journal:  Diabetes Technol Ther       Date:  2009-03       Impact factor: 6.118

10.  Real-time continuous glucose monitoring in the clinical setting: the good, the bad, and the practical.

Authors:  Irene Mamkin; Svetlana Ten; Sonal Bhandari; Neesha Ramchandani
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