The Key Role of VEGF in the Cross Talk Between Pterygium and Dry Eye and Its Clinical Significance

Overview

Journal Ophthalmic Res

Specialty Ophthalmology

Date 2020 Jan 14

PMID 31927552

Citations 11

Authors

Chang Liu

Yiyue Song

Xiaoran Wang

Zhaoguang Lai

Chaoyang Li

Pengxia Wan

Nuo Xu

Danping Huang

Yizhi Liu

Zhichong Wang

Affiliations

Soon will be listed here.

Abstract

Purpose: To examine whether dry eye severity is a risk factor for pterygium activity and whether vascular endothelial growth factor (VEGF) is crucial in the cross talk between pterygium and dry eye.

Methods: A total of 103 patients with primary pterygium (Pteg) were included in the study group; they were divided into 2 groups according to the complication of dry eye (DE) (Pteg + DE group, Pteg - DE group). Further, 60 patients with just dry eye (DE group) and 60 normal individuals (normal) were included as 2 control groups. DE severity and pterygium activity were measured, and unstimulated tear samples and pterygium tissues were collected for cytokine detection.

Results: (1) Tear detection: VEGF expression increased in the Pteg + DE group compared to the Pteg - DE, DE, and normal control groups; VEGF was especially increased in the active Pteg + DE group. VEGF concentration was positively correlated with pterygium activity. (2) Tissue detection: the mRNA expression of VEGF was upregulated in the active pterygium group.

Conclusions: Inflammation played an important role in the development of dry eye and pterygium. VEGF was the core molecule in the cross talk, which might explain the high incidence of the coexistence of these 2 diseases.

Citing Articles

Multidimensional immunotherapy for dry eye disease: current status and future directions.

Huang D, Li Z Front Ophthalmol (Lausanne). 2024; 4:1449283.

PMID: 39554604 PMC: 11564177. DOI: 10.3389/fopht.2024.1449283.

Unravelling the molecular tapestry of pterygium: insights into genes for diagnostic and therapeutic innovations.

Gupta M, Arya S, Agrawal P, Gupta H, Sikka R Eye (Lond). 2024; 38(15):2880-2887.

PMID: 38907016 PMC: 11461965. DOI: 10.1038/s41433-024-03186-y.

Tear proteomics in dry eye disease.

Kannan R, Das S, Shetty R, Zhou L, Ghosh A, Deshpande V Indian J Ophthalmol. 2023; 71(4):1203-1214.

PMID: 37026251 PMC: 10276753. DOI: 10.4103/IJO.IJO_2851_22.

Tear biomarkers in dry eye disease: Progress in the last decade.

Kumar N, Praveen M, Narasimhan R, Khamar P, DSouza S, Sinha-Roy A Indian J Ophthalmol. 2023; 71(4):1190-1202.

PMID: 37026250 PMC: 10276712. DOI: 10.4103/IJO.IJO_2981_22.

Application of artificial intelligence models for detecting the pterygium that requires surgical treatment based on anterior segment images.

Gan F, Chen W, Liu H, Zhong Y Front Neurosci. 2023; 16:1084118.

PMID: 36605553 PMC: 9808075. DOI: 10.3389/fnins.2022.1084118.

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