Method and Kit for Diagnosing Diabetes Using Tears

Non-invasive Diabetes Diagnosis Method and Kit Using Tear Metabolites

This technology concerns a composition for diagnosing diabetes and a method for providing information, which includes a substance that detects 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, through GC/TOF MS analysis, identifies tear metabolite biomarkers where threonine, mannose, sorbitol, and others increase, while 1,5-anhydroglucitol, beta-alanine, and others decrease, thereby enabling accurate and non-invasive diagnosis of diabetes using only tears.

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Key Features:

• Composition for diabetes diagnosis containing substances that detect specific metabolites in tears
• Biomarker identification through GC/TOF MS-based metabolite profiling
• Utilizing 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 that does not require blood sampling.