Table of Contents Author Guidelines Submit a Manuscript
Corrigendum

A corrigendum for this article has been published. To view the corrigendum, please click here.

Journal of Diabetes Research
Volume 2016, Article ID 4596316, 9 pages
http://dx.doi.org/10.1155/2016/4596316
Research Article

Modeling and Measurement of Correlation between Blood and Interstitial Glucose Changes

1College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
2State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
3Department of Medicine, University of California School of Medicine, Torrance, CA 90502, USA

Received 17 December 2015; Accepted 3 April 2016

Academic Editor: Giovanni Annuzzi

Copyright © 2016 Ting Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

One of the most effective methods for continuous blood glucose monitoring is to continuously measure glucose in the interstitial fluid (ISF). However, multiple physiological factors can modulate glucose concentrations and affect the lag phase between blood and ISF glucose changes. This study aims to develop a compensatory tool for measuring the delay in ISF glucose variations in reference to blood glucose changes. A theoretical model was developed based on biophysics and physiology of glucose transport in the microcirculation system. Blood and interstitial fluid glucose changes were measured in mice and rats by fluorescent and isotope methods, respectively. Computer simulation mimicked curves were fitted with data resulting from fluorescent measurements of mice and isotope measurements of rats, indicating that there were lag times for ISF glucose changes. It also showed that there was a required diffusion distance for glucose to travel from center of capillaries to interstitial space in both mouse and rat models. We conclude that it is feasible with the developed model to continuously monitor dynamic changes of blood glucose concentration through measuring glucose changes in ISF with high accuracy, which requires correct parameters for determining and compensating for the delay time of glucose changes in ISF.