A mass spectrometry-based strategy allows signature metabolite identification in tear fluid from people with diabetic cataracts.

ABSTRACT: Metabolic biomarker discovery in trace body fluids remains a significant challenge, toward molecular diagnosis and pathology studies in many diseases. Especially for eye-related diseases, such an approach based on non-invasive tear fluids remains an unsatisfied urgent need in ophthalmology. Here we construct a metabolic biomarker panel from 10 nL of tear fluids in seconds using nanoparticle-enhanced laser desorption/ionization -mass spectrometry (MS), which achieves an area under the curve of 0.923 for discriminating diabetic cataracts from alone age-related cataracts. Importantly, we integrate liquid chromatography -MS into the above analysis process to construct an integrated strategy, allowing reliable metabolite annotation by nanoliter sample volume without compromising high throughput

SUBMITTER: Qi Z 

PROVIDER: S-EPMC12638875 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature