Tear Global Metabolomic Differences in Pre-Operative Cataract Patients With and Without Dry Eye Disease

Area of Science:

• Ophthalmology
• Metabolomics
• Biochemistry

Background:

• Dry eye disease (DED) is a common condition affecting tear film stability.
• Cataract surgery patients may have co-existing dry eye, potentially impacting surgical outcomes.
• Understanding tear metabolomic differences in DED is crucial for patient management.

Purpose of the Study:

• To investigate differences in tear fluid metabolomic profiles between pre-operative cataract patients with and without dry eye disease.
• To identify potential metabolomic signatures for discriminating between these patient groups.
• To explore biomarkers for dry eye disease in the context of cataract surgery.

Main Methods:

• Tear fluid was collected from 81 pre-operative cataract patients (with and without DED) using Schirmer-1 strips.
• Metabolomic analysis was performed using liquid chromatography-mass spectrometry (LC-MS).
• Data were analyzed using principal component analysis (PCA) and volcano plots to identify group-specific metabolic signatures.

Main Results:

• No significant global clustering was observed between dry eye positive and negative groups via PCA.
• Volcano plots indicated lower concentrations of most metabolomic features in the dry eye positive group.
• Four specific features showed a Log2-fold change ≤ -1 and p-value ≤ 0.05, warranting further investigation.

Conclusions:

• A general trend of reduced metabolite concentrations in the tears of patients with dry eye disease was observed.
• Several metabolites exhibited significantly different signal intensities, suggesting potential diagnostic biomarkers.
• These identified metabolites may serve as therapeutic targets for dry eye disease in pre-operative cataract patients.