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Proteomic analysis of tear film in canine diabetic patients with and without retinopathy Cover

Proteomic analysis of tear film in canine diabetic patients with and without retinopathy

Open Access
|Nov 2022

Abstract

Introduction

Diabetic retinopathy (DR) is the leading cause of blindness in human and animal patients. Early detection and treatment of the disease are important and can be facilitated by proteomic approaches providing biomarkers.

Material and Methods

Tear films were collected on Schirmer strips from 32 canine patients (12 diabetic dogs without changes in the retina, 8 diabetic dogs with signs of DR, and 12 control dogs). Two-dimensional electrophoresis was used to separate tear film proteins prior to their identification with matrix-assisted laser desorption/ionisation–tandem time-of-flight mass spectrometry and interrogation of protein function databases to find matches.

Results

Five significantly differentially expressed proteins were identified; of those, one was downregulated (2ʹ-5ʹ-oligoadenylate synthase 3) and four were upregulated in the tear film of two diabetic groups (Ras-related protein RAB-13; aldo-keto-reductase family 1 member C3; 28S ribosomal protein S31, mitochondrial; and 60S ribosomal protein L5). The differentially expressed proteins identified in the tear film were involved in signalling pathways associated with impaired protein clearance, persistent inflammation and oxidative stress.

Conclusion

The results of our study confirm that the pathological process in the retina in the course of diabetes mellitus causes changes in the tear film proteome.

Language: English
Page range: 629 - 635
Submitted on: Jun 2, 2022
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Accepted on: Oct 24, 2022
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Published on: Nov 7, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Dagmara Winiarczyk, Mateusz Winiarczyk, Ireneusz Balicki, Mateusz Szadkowski, Katarzyna Michalak, Stanisław Winiarczyk, Łukasz Adaszek, published by National Veterinary Research Institute in Pulawy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.