» Articles » PMID: 17495022

Mass Spectral Determination of Fasting Tear Glucose Concentrations in Nondiabetic Volunteers

Overview
Journal Clin Chem
Specialty Biochemistry
Date 2007 May 15
PMID 17495022
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Background: There is considerable disagreement regarding the concentration of glucose in tears and its relationship to the concentration in blood. Improved sampling and analysis methods may resolve these discrepancies and possibly provide a basis for in situ tear glucose sensors.

Methods: We used liquid chromatography (LC) with electrospray ionization mass spectrometry (ESI-MS) to determine glucose in 1-muL tear fluid samples obtained from 25 fasting study participants. Tear fluid was collected with microcapillaries and a slitlamp microscope.

Results: The median (range) of fasting tear glucose concentrations was 28 (7-161) micromol/L or 0.50 (0.13-2.90) mg/dL. The SD of tear glucose measurements for individuals varied linearly with the mean tear glucose concentration and was approximately half of the mean. We found no significant difference in tear glucose concentrations between contact lens users and nonusers (P = 0.715). We observed significant correlations between fasting blood and tear glucose concentrations (R = 0.50, P = 0.01).

Conclusions: Our tear fluid collection and analysis method enables reliable measurement of equilibrium, fasting tear glucose concentrations. These concentrations are lower than those previously reported for nondiabetic persons. Larger population studies are required to determine correlations between blood and tear glucose concentrations and to determine the utility of contact lens-based sensors for the monitoring of diabetes. Our methods are applicable for study of other tear fluid analytes and may prove useful for monitoring other disease states.

Citing Articles

Recent progress on nanomaterial-based electrochemical sensors for glucose detection in human body fluids.

Singh K, Maurya K, Malviya M Mikrochim Acta. 2025; 192(2):110.

PMID: 39878884 DOI: 10.1007/s00604-025-06972-x.


In-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens.

Park W, Seo H, Kim J, Hong Y, Song H, Joo B Nat Commun. 2024; 15(1):2828.

PMID: 38565532 PMC: 10987615. DOI: 10.1038/s41467-024-47123-9.


Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus.

Sacks D, Arnold M, Bakris G, Bruns D, Horvath A, Lernmark A Diabetes Care. 2023; 46(10):e151-e199.

PMID: 37471273 PMC: 10516260. DOI: 10.2337/dci23-0036.


Comparing the Rise in Glucose Concentration in Blood, Aqueous and Interstitial Fluid During a Glucose Tolerance Test.

Chan T, Yip Y, Man T, Pang C, Brelen M Transl Vis Sci Technol. 2022; 11(11):3.

PMID: 36331274 PMC: 9645363. DOI: 10.1167/tvst.11.11.3.


Quantification of tear glucose levels and their correlation with blood glucose levels in dogs.

Lee E, Kang S, Shim J, Jeong D, Jeong Y, Ahn J Vet Med Sci. 2022; 8(4):1816-1824.

PMID: 35305285 PMC: 9297779. DOI: 10.1002/vms3.788.