Discovery of microRNA expression profiles involved in regulating TGF-2 expression in the tears of dry eye patients.

Background: To date, the difference in microRNA expression profiles in tears of dry eye patients and healthy people has not been reported. In current study, we evaluated the significance of microRNAs and transforming growth factor beta2 (TGF-β2) in distinguishing dry eye.

Methods: A total of 138 patients with dry eye from October 2017 to October 2018 were selected. During the same period, 138 healthy persons were collected. All patients were followed up for 12 months through outpatient, telephone or medical records and the time of corneal injury was recorded.

Results: Compared with healthy people, TGF-β2 concentrations in dry eye patients were significantly decreased (<0.05). Array analysis, predictive software and dual-luciferase reporter assays showed that miR-450b-5p, miR-1283 and miR-3671 can target TGF-β2 expression. Tear miR-450b-5p, miR-1283 and miR-3671 concentrations were significantly higher in dry eye patients than healthy people. A logistic regression model combining miR-450b-5p, miR-1283, miR-3671 and TGF-β2 was performed. This model presented a high discriminating value (AUC: 0.907, 0.876-0.939, <0.001) than any single indicator, and the sensitivity and specificity were 77.7% and 92.7%, respectively. Compared with the low miR-450b-5p, low miR-1283, low miR-3671 and high TGF-β2 groups, the high miR-450b-5p, high miR-1283, high miR-3671 and low TGF-β2 groups had a significantly higher probability of corneal injury (TGF-β2: χ = 5.762,  = 0.016; miR-450b-5p: χ = 13.267, <0.001; miR-1283: χ = 19.431, <0.001; miR-3671: χ = 8.131,  = 0.004).

Conclusion: Current model combining tear miR-450b-5p, miR-1283, miR-3671 and TGF-β2 had important values in the identification of dry eye and was of great value in evaluating the risk of corneal injury.