Skip to content
2000
Volume 18, Issue 4
  • ISSN: 1570-1646
  • E-ISSN: 1875-6247

Abstract

Background: Inflammation plays a major role in dry eye diseases and is the prime target in clinical treatments of the disease. Objective: To determine whether the inflammatory cytokines in the tear film of patients with dry eye correlate with parameters such as Tear Break-Up Time (TBUT) and Tear Meniscus Height (TMH) and could be used together as predictive biomarkers of disease severity. Methods: This study included 58 eyes (29 female subjects; age, 19–25 years) comprising 20 normal eyes (control), 20 eyes (level 1 dryness), and 18 eyes (level 2 dryness). Dryness level 1 or 2 is keratographic diagnosis according to the tear break-up time cut-off value obtained. After ophthalmic examinations, including determination of non-invasive TBUT average and first second and TMH using Keratograph 4 (to measure dryness level), tears of all participants were collected. Five cytokines, including interleukin 6, 10, 12, interferon-γ, and tumor necrosis factor-α, were measured using ELISA. Results: Significant changes were observed in all measured cytokines and these changes correlated with eye dryness severity scores. Both groups (levels 1 & 2) showed remarkable changes related to ocular surface alterations in clinical examinations. Significantly, shorter TBUT and TMH were recorded in both groups and were positively correlated with the dryness severity. Conclusion: Cytokines could be used as predictive markers for pre-clinical diagnosis of dry eye diseases and as prognostic markers to monitor treatment effectiveness.

Loading

Article metrics loading...

/content/journals/cp/10.2174/1570164617999201105143947
2021-08-01
2025-05-28
Loading full text...

Full text loading...

/content/journals/cp/10.2174/1570164617999201105143947
Loading

  • Article Type:
    Research Article
Keyword(s): Cytokines; dry eyes; keratograph; non-invasive; tear breakup time; tear meniscus height
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test