Method and Kit for Diagnosing Diabetes Using Tears

Non-invasive Diabetes Diagnostic Method and Kit Utilizing Tear Metabolites

This technology relates to a composition for diagnosing diabetes and a method for providing information, which includes a substance for detecting specific metabolites in the tears of diabetic patients.

Existing diabetes diagnosis relies on invasive methods such as blood sampling, which has caused inconvenience for early and self-diagnosis. Consequently, there has been a demand for simple and non-invasive diagnostic tools.

This technology identifies tear metabolite biomarkers through GC/TOF MS analysis, showing an increase in threonine, mannose, sorbitol, etc., and a decrease in 1,5-anhydroglucitol, beta-alanine, etc. This enables accurate and non-invasive diagnosis of diabetes using only tears.

‍

‍

Key Features:

• Composition for diagnosing diabetes containing a substance that detects specific metabolites in tears
• Biomarker identification through GC/TOF MS-based metabolite profiling
• Utilizes patterns of increased threonine, mannose, sorbitol, etc., and decreased 1,5-anhydroglucitol, beta-alanine, etc.
• Can be implemented as a non-invasive, self-diagnostic kit requiring no blood sampling