Literature DB >> 24876546

A Disposable Tear Glucose Biosensor-Part 4: Preliminary Animal Model Study Assessing Efficacy, Safety, and Feasibility.

Jeffrey T La Belle1, Erica Engelschall2, Kenneth Lan2, Pankti Shah2, Neil Saez2, Stephanie Maxwell2, Teagan Adamson2, Michelle Abou-Eid2, Kenyon McAferty2, Dharmendra R Patel3, Curtiss B Cook4.   

Abstract

OBJECTIVE: A prototype tear glucose (TG) sensor was tested in New Zealand white rabbits to assess eye irritation, blood glucose (BG) and TG lag time, and correlation with BG.
METHODS: A total of 4 animals were used. Eye irritation was monitored by Lissamine green dye and analyzed using image analysis software. Lag time was correlated with an oral glucose load while recording TG and BG readings. Correlation between TG and BG were plotted against one another to form a correlation diagram, using a Yellow Springs Instrument (YSI) and self-monitoring of blood glucose as the reference measurements. Finally, TG levels were calculated using analytically derived expressions.
RESULTS: From repeated testing carried over the course of 12 months, little to no eye irritation was detected. TG fluctuations over time visually appeared to trace the same pattern as BG with an average lag times of 13 minutes. TG levels calculated from the device current measurements ranged from 4 to 20 mg/dL and correlated linearly with BG levels of 75-160 mg/dL (TG = 0.1723 BG = 7.9448 mg/dL; R2 = .7544).
CONCLUSION: The first steps were taken toward preliminary development of a sensor for self-monitoring of tear glucose (SMTG). No conjunctival irritation in any of the animals was noted. Lag time between TG and BG was found to be noticeable, but a quantitative modeling to correlate lag time in this study is unnecessary. Measured currents from the sensors and the calculated TG showed promising correlation to BG levels. Previous analytical bench marking showed BG and TG levels consistent with other literature.
© 2014 Diabetes Technology Society.

Entities:  

Keywords:  biosensor; diabetes mellitus; power analysis; sample size determination; tear glucose monitoring

Year:  2014        PMID: 24876546      PMCID: PMC4454120          DOI: 10.1177/1932296813511741

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  17 in total

1.  On the permeability to lissamine green and other dyes in the course of cell injury and cell death.

Authors:  B HOLMBERG
Journal:  Exp Cell Res       Date:  1961-01       Impact factor: 3.905

2.  A disposable tear glucose biosensor-part 1: design and concept testing.

Authors:  Daniel K Bishop; Jeffrey T La Belle; Stephen R Vossler; Dharmendra R Patel; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

3.  Tear glucose dynamics in diabetes mellitus.

Authors:  Jennifer D Lane; David M Krumholz; Robert A Sack; Carol Morris
Journal:  Curr Eye Res       Date:  2006-11       Impact factor: 2.424

4.  Medical device recalls: get it right the first time: Comment on "Medical device recalls and the FDA approval process".

Authors:  Rita F Redberg; Sanket S Dhruva
Journal:  Arch Intern Med       Date:  2011-02-14

5.  Measurement of tear glucose levels with amperometric glucose biosensor/capillary tube configuration.

Authors:  Qinyi Yan; Bo Peng; Gang Su; Bruce E Cohan; Terry C Major; Mark E Meyerhoff
Journal:  Anal Chem       Date:  2011-10-12       Impact factor: 6.986

6.  Invasiveness as a barrier to self-monitoring of blood glucose in diabetes.

Authors:  Julie Wagner; Carl Malchoff; Gina Abbott
Journal:  Diabetes Technol Ther       Date:  2005-08       Impact factor: 6.118

7.  A disposable tear glucose biosensor--part 3: assessment of enzymatic specificity.

Authors:  Kenneth Lan; Kenyon McAferty; Pankti Shah; Erica Lieberman; Dharmendra R Patel; Curtiss B Cook; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2011-09-01

8.  Human tear glucose.

Authors:  K M Daum; R M Hill
Journal:  Invest Ophthalmol Vis Sci       Date:  1982-04       Impact factor: 4.799

Review 9.  Tear glucose analysis for the noninvasive detection and monitoring of diabetes mellitus.

Authors:  Justin T Baca; David N Finegold; Sanford A Asher
Journal:  Ocul Surf       Date:  2007-10       Impact factor: 5.033

Review 10.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; Yuan Lu; Gitanjali M Singh; Melanie J Cowan; Christopher J Paciorek; John K Lin; Farshad Farzadfar; Young-Ho Khang; Gretchen A Stevens; Mayuree Rao; Mohammed K Ali; Leanne M Riley; Carolyn A Robinson; Majid Ezzati
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

View more
  3 in total

1.  Toward the Development of a Glucose Dehydrogenase-Based Saliva Glucose Sensor Without the Need for Sample Preparation.

Authors:  Chi Lin; Breanna Pratt; Mackenzie Honikel; Alaina Jenish; Bhavna Ramesh; Amnah Alkhan; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2017-06-19

2.  A Disposable Tear Glucose Biosensor-Part 5: Improvements in Reagents and Tear Sampling Component.

Authors:  Chi En Lin; Yuka Ito; Anna Deng; Jared Johns; Daniel Matloff; Curtiss B Cook; Koji Sode; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2018-04-18

Review 3.  Commercial and Scientific Solutions for Blood Glucose Monitoring-A Review.

Authors:  Yirui Xue; Angelika S Thalmayer; Samuel Zeising; Georg Fischer; Maximilian Lübke
Journal:  Sensors (Basel)       Date:  2022-01-06       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.