Abstract
PURPOSE: To evaluate longitudinal, prospective associations of pro- and anti-inflammatory tear cytokine ratios with signs of dry eye disease (DED), in young adults.
METHODS: Fifty young adults, aged 18 to 25, were recruited; detailed ocular surface parameters were assessed including ocular staining, lid wiper epitheliopathy, ocular redness, and meibomian gland parameters. Tears were collected using Schirmer strips and analysed for ten cytokines using a Luminex Assay. All measures were repeated after 1 year ± 2 months. The ratios of two anti-inflammatory cytokines, IL-10 and IL-1Ra, with four key pro-inflammatory cytokines, IL-1β, IL-6, TNF-α, and IL-8 were investigated and correlations with clinical parameters explored.
RESULTS: Participants mean age at baseline was 19.9 ± 1.6 years; 72% females and 56% diagnosed with DED (TFOS DEWS II diagnostic criteria). While IL-1Ra was upregulated at the second visit (p=0.047), and IL-10, IL-1β, and IL-8 were upregulated at both study visits in dry eye participants (p>0.05), the anti- to pro-inflammatory cytokine ratios did not distinguish them from the non-DED participants. Certain cytokine ratios, in particular IL-10:IL-6 and IL-10:IL-8, revealed several moderately significant correlations (p<0.05) with increasing clinical signs of DED; these included horizontal and sagittal lid wiper epitheliopathy, corneal staining, and most notably limbal and bulbar redness, which showed longitudinal repeatability.
CONCLUSIONS: Upregulation of both pro- and anti-inflammatory cytokines, and correlation of their ratios with clinical signs, provides support for a coordinated inflammatory network in DED. The correlation of several cytokine ratios with both bulbar and limbal redness and their longitudinal repeatability, suggest ocular redness to be a key consideration in early diagnosis of non-aqueous DED.
| Original language | English |
|---|---|
| Journal | The ocular surface |
| Early online date | 3 Aug 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 3 Aug 2026 |
Bibliographical note
Copyright © 2026. Published by Elsevier Inc. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Data Access Statement
The datasets generated and analysed during the current study are available from the corresponding author upon reasonable request.Fingerprint
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