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Tear Mediators NGF along with IL-13 Predict Keratoconus Progression
Mariann Fodor1, Géza Vitályos2, Gergely Losonczy3
1Department of Ophthalmology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Ocular Immunology and Inflammation
|March 5, 2020
Summary
Researchers identified key tear fluid biomarkers, including Interleukin-13 (IL-13) and Nerve Growth Factor (NGF), that can accurately predict keratoconus progression over time.
Area of Science:
- Ophthalmology
- Immunology
- Biomarker Discovery
Background:
- Keratoconus is a progressive corneal ectasia leading to vision impairment.
- Early detection of keratoconus progression is crucial for timely intervention.
- Current diagnostic methods may not always capture subtle progression dynamics.
Purpose of the Study:
- To identify combinations of immunomediators in tear fluid that can sensitively indicate keratoconus progression.
- To establish predictive biomarkers for monitoring disease advancement.
- To correlate tear mediator levels with objective clinical parameters of keratoconus.
Main Methods:
- Tear samples were collected from 42 keratoconus patients at baseline and after one year.
- Concentrations of 13 tear mediators were quantified using Cytometric Bead Array (CBA).
- Patients were stratified into non-progressive and progressive groups based on Pentacam HR imaging.
Main Results:
- Significant differences in Interferon-gamma (IFNγ), IL-13, IL-17A, CCL5, MMP-13, and Plasminogen Activator Inhibitor-1 (PAI-1) were observed between progressive and non-progressive groups.
- Changes in specific Pentacam parameters correlated with alterations in IFNγ, IL-13, IL-17A, CXCL8, CCL5, TIMP-1, and tissue Plasminogen Activator (t-PA).
- A combination of tear IL-13 and NGF demonstrated 80% sensitivity and 100% specificity in predicting keratoconus progression.
Conclusions:
- Tear levels of IL-13 and NGF are important predictors of keratoconus progression.
- This longitudinal study highlights the potential of these biomarkers for clinical application.
- Further research may validate these findings for routine diagnostic use in keratoconus management.

