# Insight into the shared pathogenic link between COVID-19 and pterygium: a systematic bioinformatics analysis with experimental validation

**Authors:** Tianyi Zhou, Xueyao Cai, Wenjun Shi, Xia Ding, Yuchen Cai

PMC · DOI: 10.1186/s41065-025-00500-w · 2025-07-14

## TL;DR

This study explores how genes linked to both pterygium and COVID-19 suggest shared immune-related pathways, offering new insights into their connection.

## Contribution

The study identifies novel shared genes and regulatory networks linking pterygium and SARS-CoV-2, highlighting immune dysregulation as a common mechanism.

## Key findings

- Five common differentially expressed genes (ERP27, SYTL5, STXBP6, EXTL1, DIO2) were identified and validated in pterygium and COVID-19.
- Three hub genes (SYTL5, STXBP6, ERP27) and a regulatory network involving eight transcription factors and one microRNA were identified.
- Immune response pathways were implicated in the link between SARS-CoV-2 and pterygium through gene enrichment analysis.

## Abstract

The outbreak of coronavirus disease 2019 (COVID-19) has resulted in a remarkable threat to global public health over the past few years. Despite the tremendous studies of COVID-19 ongoing, few have focused on the viral impact on the ocular surface. As one of the most common inflammatory diseases of the ocular surface, pterygium could be triggered under multiple environmental exposures. In the present work, we aimed at investigating the potential interactions between pterygium and COVID-19. Based on bioinformatic tools, we compared databases of COVID-19 and pterygium and screened for common differentially expressed genes (DEGs). Multifactor regulatory network and co-expression network of the common DEGs were analyzed. In vitro experiments, including siRNA knockdown using human conjunctival fibroblasts (HConFs) confirmed the bioinformatics results. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis implied that immune response was associated with COVID-19-induced ocular events. We then identified five common DEGs, including ERP27, SYTL5, STXBP6, EXTL1 and DIO2, which was further validated by in vitro experiments. Three hub genes were further extracted which included SYTL5, STXBP6 and ERP27 through protein–protein interactions (PPI) network. Furthermore, we illustrated a regulatory network consisting of eight transcription factors (STAT6B, GATA1, POU2F2, PGR, RBPJ, STAT3, CRTC1 and HMGA1) and one microRNA (hsa-miR-384). Overall, we investigated the common link between SARS-CoV-2 and pterygium in the modulation of gene profiles on the ocular surface. Our study proposed a novel insight into the common pathogenic mechanisms between COVID-19 and pterygium, which are associated with immune dysregulation and pathological proliferation, indicating a viral impact on pterygium susceptibility. This innovative perspective may enable a more comprehensive understanding and advance towards improved clinical prevention and treatment.

The online version contains supplementary material available at 10.1186/s41065-025-00500-w.

## Linked entities

- **Genes:** ERP27 (endoplasmic reticulum protein 27) [NCBI Gene 121506], SYTL5 (synaptotagmin like 5) [NCBI Gene 94122], STXBP6 (syntaxin binding protein 6) [NCBI Gene 29091], EXTL1 (exostosin like glycosyltransferase 1) [NCBI Gene 2134], DIO2 (iodothyronine deiodinase 2) [NCBI Gene 1734], STAT6 (signal transducer and activator of transcription 6) [NCBI Gene 6778], GATA1 (GATA binding protein 1) [NCBI Gene 2623], POU2F2 (POU class 2 homeobox 2) [NCBI Gene 5452], PGR (progesterone receptor) [NCBI Gene 5241], RBPJ (recombination signal binding protein for immunoglobulin kappa J region) [NCBI Gene 3516], STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774], CRTC1 (CREB regulated transcription coactivator 1) [NCBI Gene 23373], HMGA1 (high mobility group AT-hook 1) [NCBI Gene 3159]
- **Diseases:** COVID-19 (MONDO:0100096), pterygium (MONDO:0005085)

## Full-text entities

- **Genes:** DIO2 (iodothyronine deiodinase 2) [NCBI Gene 1734] {aka 5DII, D2, DIOII, SELENOY, SelY, TXDI2}, SYTL5 (synaptotagmin like 5) [NCBI Gene 94122] {aka slp5}, MIR384 (microRNA 384) [NCBI Gene 494333] {aka MIRN384, hsa-mir-384}, HMGA1 (high mobility group AT-hook 1) [NCBI Gene 3159] {aka HMG-R, HMGA1A, HMGIY}, ERP27 (endoplasmic reticulum protein 27) [NCBI Gene 121506] {aka C12orf46, PDIA8}, RBPJ (recombination signal binding protein for immunoglobulin kappa J region) [NCBI Gene 3516] {aka AOS3, CBF-1, CBF1, IGKJRB, IGKJRB1, KBF2}, POU2F2 (POU class 2 homeobox 2) [NCBI Gene 5452] {aka OCT2, OTF2, Oct-2}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, GATA1 (GATA binding protein 1) [NCBI Gene 2623] {aka CNSHA9, ERYF1, GATA-1, GF-1, GF1, HAEADA}, PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}, EXTL1 (exostosin like glycosyltransferase 1) [NCBI Gene 2134] {aka EXTL}, STAT6 (signal transducer and activator of transcription 6) [NCBI Gene 6778] {aka D12S1644, HIES6, IL-4-STAT, STAT6B, STAT6C}, CRTC1 (CREB regulated transcription coactivator 1) [NCBI Gene 23373] {aka MAML2, MECT1, Mam-2, TORC-1, TORC1, WAMTP1}, STXBP6 (syntaxin binding protein 6) [NCBI Gene 29091] {aka HSPC156, amisyn}
- **Diseases:** COVID-19 (MESH:D000086382), pterygium (MESH:D011625), inflammatory diseases (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12261744/full.md

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Source: https://tomesphere.com/paper/PMC12261744