Association between mediators in the tear fluid and the severity of keratoconus

Bence Lajos Kolozsvári, Goran Petrovski, Péter Gogolák, Éva Rajnavölgyi, Flóra Tóth, András Berta, Mariann Fodor

Research output: Review article

17 Citations (Scopus)

Abstract

Purpose: To study the association between different types of mediators in the tear fluid and topographic indices characterizing the severity of keratoconus (KC). Methods: In this study, nonstimulated tear fluid samples were collected from 14 eyes of 11 patients with KC. The following indices were measured by corneal topography: maximum K value, average K value, Klyce/Maeda keratoconus index (KCI), Smolek/Klyce keratoconus severity index, opposite sector index, center/surround index, keratoconus prediction index and standard deviation of corneal power. The concentrations of interleukin (IL)-6, IL-13, CXCL8 (IL-8), chemokine (C-C motif) ligand 5 (CCL5, regulated and normal T cell expressed and secreted), matrix metalloproteinase-9 (MMP-9), MMP-13, tissue inhibitor of metalloproteinase-1, nerve growth factor (NGF) and epidermal growth factor were measured by cytometric bead array technology. Release of mediators was calculated from their concentrations and the volume of tears collected over 2 min. Results: Significant positive associations were found between CCL5, MMP-13 and NGF and several topographic indices. Significant negative correlations were found between IL-6 and KCI. Age-dependent associations were observed between IL-13, CXCL8, CCL5 and MMP-13 and the topographic data. Conclusion: Several correlations were observed between the mediators and the topographic indices, suggesting possible roles in the pathophysiology of KC. Our data indicate that some mediators have different effects on the severity of disease in an age-dependent manner.

Original languageEnglish
Pages (from-to)46-51
Number of pages6
JournalOphthalmic Research
Volume51
Issue number1
DOIs
Publication statusPublished - dec. 1 2013

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

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