Comprehensive exploration of hub genes involved in oxidative stress in rhegmatogenous retinal detachment based on bioinformatics analysis

被引:0
作者
Xu, Qin [1 ]
Luo, Linbi [1 ]
Xiang, Xiaohong [1 ]
Feng, Yalin [1 ]
Cao, Yang [1 ]
Zeng, Jun [1 ]
Lv, Hongbin [1 ]
机构
[1] Southwest Med Univ, Affiliated Hosp, Dept Ophthalmol, Luzhou, Sichuan, Peoples R China
关键词
Rhegmatogenous retinal detachment; Bioinformatics analysis; Hub gene; Biomarker; Oxidative stress; ARTERY BLOOD VELOCITIES; PROLIFERATIVE VITREORETINOPATHY; INTRAOCULAR-PRESSURE; EXPERIMENTAL-MODEL; JAK-STAT; ACTIVATION; PATHWAYS; SURGERY;
D O I
10.1016/j.exer.2024.109810
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Rhegmatogenous retinal detachment (RRD) is a type of ophthalmologic emergency, if left untreated, the blindness rate approaches 100 %. The RRD patient postoperative recovery of visual function is unsatisfactory, most notably due to photoreceptor death. We conducted to identify the key genes for oxidative stress (OS) in RRD through bioinformatics analysis and clinical validation, thus providing new ideas for the recovery of visual function in RRD patients after surgery. A gene database for RRD was obtained from the Gene Expression Omnibus (GEO) database (GSE28133). Then we screened differentially expressed OS genes (DEOSGs) from the database and assessed the critical pathways in RRD with Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Protein-protein interaction (PPI) networks and hub genes among the common DEOSGs were identified. In addition, we collected general information and vitreous fluid from 42 patients with RRD and 22 controls [11 each of epiretinal membrane (EM) and macular hole (MH)], examined the expression levels of proteins encoded by hub genes in vitreous fluid by enzyme-linked immunosorbent assay (ELISA) to further assess the relationship between the ELISA data and the clinical characteristics of patients with RRD. Ten hub genes (CCL2, ICAM1, STAT3, CD4, ITGAM, PTPRC, CCL5, IL18, TLR2, VCAM1) were finally screened out from the dataset. The ELISA results showed that, compared with the control group, patients with RRD: TLR2 and ICAM-1 were significantly elevated, and CCL2 had a tendency to be elevated, but no statistically significant; RRD patients and MH patients compared with EM patients: STAT3 and VCAM-1 were significantly elevated. We found affected eyes of RRD patients compared with healthy eyes: temporal and nasal retinal nerve fiber layer (RNFL) were significantly thickened. By correlation analysis, we found that: STAT3 was negatively correlated with ocular perfusion pressure (OPP); temporal RNFL was not only significantly positively correlated with CCL2, but also negatively correlated with Scotopic b-wave amplitude. These findings help us to further explore the mechanism of RRD development and provide new ideas for finding postoperative visual function recovery.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Identification of hub genes and functional modules in colon adenocarcinoma based on public databases by bioinformatics analysis
    Zhang, Zhipeng
    Luo, Aihong
    Zhou, Yikai
    Wu, Wei
    Zhou, Y.
    JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2021, 12 (04) : 1613 - 1624
  • [42] Identification of hub prognosis-associated oxidative stress genes in skin cutaneous melanoma using integrated bioinformatic analysis
    Ren, T-Y
    Zhang, Y-X
    Hu, W.
    EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2021, 25 (07) : 2927 - 2940
  • [43] Identification of oxidative stress-related genes associated with immune cells in Aortic Valve Stenosis based on bioinformatics analysis
    Li, Shanghai
    Bai, Zhenjie
    Quan, Jinhai
    Chen, Can
    CELLULAR AND MOLECULAR BIOLOGY, 2023, 69 (15) : 204 - 209
  • [44] Identification of key genes associated with oxidative stress in ischemic stroke via bioinformatics integrated analysis
    Li, Gaiyan
    Cheng, Yu
    Ding, Shanshan
    Zheng, Qianyun
    Kuang, Lanqiong
    Zhang, Ying
    Zhou, Ying
    BMC NEUROSCIENCE, 2025, 26 (01):
  • [45] Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis
    Yuanji Xu
    Xinyi Huang
    Wangzhong Ye
    Yangfan Zhang
    Changkun Li
    Penggang Bai
    Zhizhong Lin
    Chuanben Chen
    Cancer Cell International, 20
  • [46] Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis
    Xu, Yuanji
    Huang, Xinyi
    Ye, Wangzhong
    Zhang, Yangfan
    Li, Changkun
    Bai, Penggang
    Lin, Zhizhong
    Chen, Chuanben
    CANCER CELL INTERNATIONAL, 2020, 20 (01)
  • [47] Identification of key genes involved in post-traumatic stress disorder: Evidence from bioinformatics analysis
    Bian, Yao-Yao
    Yang, Li-Li
    Zhang, Bin
    Li, Wen
    Li, Zheng-Jun
    Li, Wen-Lin
    Zeng, Li
    WORLD JOURNAL OF PSYCHIATRY, 2020, 10 (12):
  • [48] Identification and analysis of oxidative stress-related genes in hypoxic-ischemic brain damage using bioinformatics and experimental verification
    Jin, Ni
    Sha, Sha
    Ruan, Yanghao
    Ying, Ouyang
    IMMUNITY INFLAMMATION AND DISEASE, 2024, 12 (08)
  • [49] Comprehensive analysis of prognosis of cuproptosis-related oxidative stress genes in multiple myeloma
    Li, Tingting
    Yao, Lan
    Hua, Yin
    Wu, Qiuling
    FRONTIERS IN GENETICS, 2023, 14
  • [50] Identification of hub genes associated with obesity-induced hepatocellular carcinoma risk based on integrated bioinformatics analysis
    Hamid Ceylan
    Medical Oncology, 2021, 38