# Tear proteomic analysis in keratoconus patients and potential biomarkers: a case-control study

**Authors:** Daniel de Almeida Borges, Marcos Rodrigo Alborghetti, Romenia Ramos Domingues, Adriana Franco Paes Leme, Mônica Alves

PMC · DOI: 10.3389/ebm.2025.10864 · Experimental Biology and Medicine · 2026-01-12

## TL;DR

This study compares tear proteins in keratoconus patients and healthy individuals to identify potential biomarkers for the disease.

## Contribution

The study identifies differentially expressed tear proteins in keratoconus patients that could serve as potential biomarkers.

## Key findings

- 353 proteins were identified in tear samples, with 25 showing statistical differences in univariate analysis.
- Seven proteins overlapped in both univariate and multivariate analyses, suggesting their potential as biomarkers.
- Thirty-seven proteins showed significant variation between keratoconus patients and controls.

## Abstract

Keratoconus is a corneal ectasia whose pathophysiological mechanisms, including biomolecular alterations and genetic influences, remain poorly understood. Recent studies have shown altered cytokine levels, increased proteinase activity, and other potential mediators in the tear film and corneal tissue, highlighting a possible involvement of inflammatory pathways in the pathophysiology of keratoconus. This observational study aims to characterize the tear proteome of keratoconus patients and compare it to a control group, reporting potential disease biomarkers in the tear film. 23 keratoconus patients were selected at the Cornea and External Diseases Outpatient Clinic of the Clinics Hospital of UNICAMP. The control group consisted of 17 age- and sex-matched participants. All study subjects underwent corneal tomography (Pentacam). Tear film samples were collected and sent for proteomic evaluation by mass spectrometry at the National Biosciences Laboratory (LNBio). After quantification, univariate and multivariate statistical analyses were performed. A total of 353 proteins were identified and quantified, of which 25 showed statistical differences in the univariate analysis (t-test), and 19 were selected in the multivariate analysis (PLS-DA). There was an overlap of 7 proteins identified in both uni- and multivariate analyses: chitinase-3-like protein 2, prosaposin, zymogen granule protein 16 homolog B, procollagen-lysine,2-oxoglutarate 5-dioxygenase 1, secretoglobin family 1D member 1, albumin, and Ig kappa chain V-I region. Thirty-seven proteins showed statistically significant variation between the keratoconus and control groups. Proteomic analysis revealed differentially expressed proteins in the tear film of keratoconus patients. We report the identified proteomic profile, which includes potential biomarkers that may help elucidate the disease’s pathophysiology.

## Linked entities

- **Proteins:** LOC110861214 (uncharacterized LOC110861214), LOC100189571 (uncharacterized LOC100189571)
- **Diseases:** keratoconus (MONDO:0015486)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, SCGB1D1 (secretoglobin family 1D member 1) [NCBI Gene 10648] {aka LIPA, LPHA, LPNA}, PSAP (prosaposin) [NCBI Gene 5660] {aka GLBA, PARK24, PSAPD, SAP1, SAP2}, PLOD1 (procollagen-lysine,2-oxoglutarate 5-dioxygenase 1) [NCBI Gene 5351] {aka EDS6, EDSKCL1, LH, LH1, LLH, PLOD}, ZG16B (zymogen granule protein 16B) [NCBI Gene 124220] {aka EECP, HRPE773, JCLN2, PAUF, PRO1567}, CHI3L2 (chitinase 3 like 2) [NCBI Gene 1117] {aka CHIL2, YKL-39, YKL39}
- **Diseases:** Keratoconus (MESH:D007640), Cornea and External Diseases (MESH:D065306), corneal ectasia (MESH:D004108), inflammatory (MESH:D007249)
- **Chemicals:** Pentacam (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12833980/full.md

## References

52 references — full list in the complete paper: https://tomesphere.com/paper/PMC12833980/full.md

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Source: https://tomesphere.com/paper/PMC12833980