Literature DB >> 8062605

Development of a miniaturized glucose monitoring system by combining a needle-type glucose sensor with microdialysis sampling method. Long-term subcutaneous tissue glucose monitoring in ambulatory diabetic patients.

Y Hashiguchi1, M Sakakida, K Nishida, T Uemura, K Kajiwara, M Shichiri.   

Abstract

OBJECTIVE: To develop a reliable and practical glucose monitoring system by combining a needle-type glucose sensor with a microdialysis sampling technique for long-term subcutaneous tissue glucose measurements. RESEARCH DESIGN AND METHODS: A microdialysis Cuprophan hollow-fiber probe (inner diameter, 0.20 mm; length, 15 mm) was perfused with isotonic saline solution (120 microliters/h) and glucose concentrations in the dialysate were measured by a needle-type glucose sensor extracorporeally. This system was tested both in vitro and in vivo. Subcutaneous tissue glucose concentrations were then monitored continuously in 5 healthy and 8 diabetic volunteers for 7 to 8 days. A hollow-fiber probe was inserted into the abdominal subcutaneous tissue.
RESULTS: This monitoring system achieved excellent results in vitro. Subcutaneous tissue glucose concentrations were measured in a wide range from 1.7 to > 27.8 mM glucose, with a time delay of 6.9 +/- 1.2 min associated with a rise in glucose and 8.8 +/- 1.6 min with a fall in the glucose level (means +/- SE). The overall correlation between subcutaneous tissue (Y) and blood (X) glucose concentration was Y = 1.08X + 0.19 (r = 0.99). The subcutaneous tissue glucose concentration could be monitored precisely for 4 days without any in vivo calibrations and for 7 days by introducing in vivo calibrations.
CONCLUSIONS: Glycemic excursions could be monitored precisely in the subcutaneous tissue by this microdialysis sampling method with a needle-type glucose sensor in ambulatory diabetic patients.

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Year:  1994        PMID: 8062605     DOI: 10.2337/diacare.17.5.387

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  11 in total

1.  In vivo glucose sensing for diabetes management: progress towards non-invasive monitoring. Interview by Judy Jones.

Authors:  J Pickup; O Rolinski; D Birch
Journal:  BMJ       Date:  1999-11-13

2.  Continuous amperometric monitoring of glucose in a brittle diabetic chimpanzee with a miniature subcutaneous electrode.

Authors:  J G Wagner; D W Schmidtke; C P Quinn; T F Fleming; B Bernacky; A Heller
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-26       Impact factor: 11.205

3.  Development of a highly responsive needle-type glucose sensor using polyimide for a wearable artificial endocrine pancreas.

Authors:  Shinji Ichimori; Kenro Nishida; Seiya Shimoda; Taiji Sekigami; Yasuto Matsuo; Kenshi Ichinose; Motoaki Shichiri; Michiharu Sakakida; Eiichi Araki
Journal:  J Artif Organs       Date:  2006       Impact factor: 1.731

4.  Portable system for on-line continuous ex vivo monitoring of subcutaneous tissue glucose using open tissue perfusion.

Authors:  F Skrabal; Z Trajanoski; H Kontscheider; P Kotanko; P Wach
Journal:  Med Biol Eng Comput       Date:  1995-01       Impact factor: 2.602

5.  Pilot investigation on long-term subcutaneous microdialysis: proof of principle in humans.

Authors:  Franziska Simmel; Claudia Kirbs; Zeynep Erdogan; Edith Lackner; Markus Zeitlinger; Charlotte Kloft
Journal:  AAPS J       Date:  2012-10-13       Impact factor: 4.009

6.  The artificial pancreas: how sweet engineering will solve bitter problems.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2007-01

Review 7.  What is artificial endocrine pancreas? Mechanism and history.

Authors:  Kenro Nishida; Seiya Shimoda; Kenshi Ichinose; Eiichi Araki; Motoaki Shichiri
Journal:  World J Gastroenterol       Date:  2009-09-07       Impact factor: 5.742

Review 8.  Artificial pancreas: past, present, future.

Authors:  Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2011-11       Impact factor: 9.461

Review 9.  Glucose biosensors: an overview of use in clinical practice.

Authors:  Eun-Hyung Yoo; Soo-Youn Lee
Journal:  Sensors (Basel)       Date:  2010-05-04       Impact factor: 3.576

Review 10.  A critical review of mathematical models and data used in diabetology.

Authors:  A Boutayeb; A Chetouani
Journal:  Biomed Eng Online       Date:  2006-06-29       Impact factor: 2.819

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