Language

English

Publication Date

4-1-2026

Journal

The Ocular Surface

DOI

10.1016/j.jtos.2026.01.010

PMID

41638552

PMCID

PMC13050524

PubMedCentral® Posted Date

4-6-2026

PubMedCentral® Full Text Version

Author MSS

Abstract

Tear fluid is a highly specialized and dynamic biofluid composed of proteins, lipids, mucins, and electrolytes that is essential for maintaining ocular surface integrity, immune defense, and tear film stability. Growing evidence from tear proteomic studieshas revealed extensive alterations in protein composition in dry eye disease (DED), reflecting a complex interplay between local ocular surface pathology and systemic inflammatory influences. This review summarizes proteomic findings from 50 published studies to identify tear proteins that are consistently upregulated or downregulated in DED and to interpret their biological relevance in the context of ocular surface homeostasis. Across studies, proteins upregulated in DED tears predominantly reflect activation of acute-phase and inflammatory pathways, including S100A8/A9, ORM1, APOA2, and proinflammatory cytokines, as well as oxidative stress responses and epithelial remodeling processes. In contrast, downregulated proteins include key protective and homeostatic tear components such as lactoferrin, lysozyme, lipocalin-1, lacritin, and secretoglobins, along with proteins involved in immune transport, epithelial structure, and lipid metabolism that are critical for tear film stability. Overall, these proteomic shifts indicate activation of stress and inflammatory pathways that may perpetuate epithelial barrier damage and tear film instability in DED. By integrating proteomic data across diverse methodologies, this review highlights convergent biological pathways underlying DED pathophysiology and suggests the potential of tear-based protein panels as biomarkers for disease stratification, monitoring, and therapeutic targeting.

Keywords

Humans, Tears, Dry Eye Syndromes, Biomarkers, Eye Proteins, Proteome, Proteomics

Published Open-Access

yes

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