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Related Experiment Video

Updated: May 6, 2026

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

Published on: October 13, 2017

Tear Fluid-Based Metabolomics Profiling in Chronic Dacryocystitis Patients.

Shuai Ben^1,2, Qun Zheng^2,3, Ya Zhao¹

¹Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.

Journal of Proteome Research

|December 13, 2024

Summary

Tear metabolomics can identify biomarkers for chronic dacryocystitis (CD), an eye infection. This study found altered amino acid metabolism in CD patients, identifying key metabolites for potential noninvasive diagnostic tools.

Keywords:

UHPLC-MS/MS analysis chronic dacryocystitis early diagnosis tear fluid metabolism

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Last Updated: May 6, 2026

Bead Based Multiplex Assay for Analysis of Tear Cytokine Profiles

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Published on: October 13, 2017

Author Spotlight: Advancing Tear Fluid Analysis Using a Standardized Protocol for Proteomics Research

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Published on: December 1, 2023

Author Spotlight: Isolating Biomolecules from Mouse Tears — A Methodology for Molecular Analysis and Biomarker Research

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Published on: July 19, 2024

Area of Science:

Ophthalmology
Metabolomics
Biochemistry

Background:

Chronic dacryocystitis (CD) poses risks of severe complications and vision loss due to persistent microbial infections.
Tear fluid analysis offers a noninvasive approach to identify ocular biomarkers via metabolomics.

Purpose of the Study:

To investigate tear fluid metabolomic alterations in patients with chronic dacryocystitis.
To identify potential tear fluid biomarkers for the diagnosis of CD.

Main Methods:

Ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was used to analyze tear metabolites.
KEGG pathway analysis was performed to understand metabolic pathway involvement.

Main Results:

Significant metabolic alterations were observed in CD patients compared to controls, with 298 metabolites increased and 142 decreased.
Arginine and proline metabolism, amino acid biosynthesis, and phenylalanine biosynthesis were notably affected.
3-dehydroquinic acid, anthranilic acid, citric acid, and l-isoleucine showed high diagnostic accuracy (AUC = 0.94) as potential CD biomarkers.

Conclusions:

Tear fluid metabolomics reveals significant changes in amino acid metabolism, implicating it in CD pathogenesis.
Identified metabolites like 3-dehydroquinic acid and anthranilic acid show promise for developing noninvasive diagnostic tools for CD.
Understanding tear metabolism provides insights for targeted therapies for chronic dacryocystitis.