Association between tear and blood glucose concentrations: Random intercept model adjusted with confounders in tear samples negative for occult blood.


Journal

Journal of diabetes investigation
ISSN: 2040-1124
Titre abrégé: J Diabetes Investig
Pays: Japan
ID NLM: 101520702

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 22 01 2020
revised: 10 06 2020
accepted: 25 06 2020
pubmed: 6 7 2020
medline: 12 10 2021
entrez: 5 7 2020
Statut: ppublish

Résumé

To prevent diabetic complications, strict glucose control and frequent monitoring of blood glucose levels with invasive methods are necessary. We considered the monitoring of tear glucose levels might be a possible method for non-invasive glucose monitoring. To develop tear glucose monitoring for clinical application, we investigated the precise correlation between the blood and tear glucose concentrations. A total of 10 participants and 20 participants with diabetes were admitted, and blood and tear samples were collected. Before statistical analysis, we eliminated tear samples contaminated with blood. We observed the daily blood and tear glucose dynamics, and carried out a random intercept model analysis to examine the association between the blood and tear glucose concentrations. Tear occult blood tests showed that the tear glucose concentrations and their variation increased in both participants with and without diabetes as contamination of blood increased. In both participants with and without diabetes, fluctuations of the plasma glucose concentrations were observed depending on the timing of collection of the samples, and the dynamics of the tear glucose concentrations paralleled those of the plasma glucose concentrations. The random intercept model analysis showed a significant association between the plasma and tear glucose concentrations in participants with diabetes (P < 0.001). This association still existed even after adjusting for the glycated hemoglobin levels and the prandial state (P < 0.001). It is important to eliminate the tear samples contaminated with blood. Tear glucose monitoring might be a reliable and non-invasive substitute method for monitoring the blood glucose concentrations for diabetes patients, irrespective of glycated hemoglobin levels and timing of sample collection.

Identifiants

pubmed: 32621777
doi: 10.1111/jdi.13344
pmc: PMC7858102
doi:

Substances chimiques

Biomarkers 0
Blood Glucose 0
Glycated Hemoglobin A 0
hemoglobin A1c protein, human 0

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

266-276

Subventions

Organisme : New Energy and Industrial Technology Development Organization
ID : 27STS127

Informations de copyright

© 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

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Auteurs

Masakazu Aihara (M)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Naoto Kubota (N)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Clinical Nutrition Therapy, The University of Tokyo, Tokyo, Japan.
Clinical Nutrition Program, National Institute of Health and Nutrition, Tokyo, Japan.
Laboratory for Metabolic Homeostasis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.

Takahiro Minami (T)

Department of Ophthalmology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Rika Shirakawa (R)

Department of Ophthalmology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Yoshitaka Sakurai (Y)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Takanori Hayashi (T)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Clinical Nutrition Program, National Institute of Health and Nutrition, Tokyo, Japan.

Masahiko Iwamoto (M)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Iseki Takamoto (I)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Diabetes and Endocrinology, Nerima Hikarigaoka Hospital, Tokyo, Japan.

Tetsuya Kubota (T)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Clinical Nutrition Program, National Institute of Health and Nutrition, Tokyo, Japan.
Laboratory for Metabolic Homeostasis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Analysis Tool Development Group, Intestinal Microbiota Project, Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan.
Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.

Ryo Suzuki (R)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Satoshi Usami (S)

Graduate School of Education, The University of Tokyo, Tokyo, Japan.

Hideaki Jinnouchi (H)

Jinnouchi Hospital, Kumamoto, Japan.

Makoto Aihara (M)

Department of Ophthalmology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Toshimasa Yamauchi (T)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Toshiya Sakata (T)

Department of Materials Science and Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Provigate Inc, Tokyo, Japan.

Takashi Kadowaki (T)

Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Metabolism and Nutrition, Faculty of Medicine, Mizonokuchi Hospital, Teikyo University, Kanagawa, Japan.

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