Identification of Potential Therapeutic Targets for Myopic Choroidal Neovascularization via Discovery-Driven Data Mining

MMP3型 MMP9公司 MMP2型 计算生物学 血管内皮生长因子A 鉴定(生物学) 生物信息学 生物 医学 基因 癌症研究 血管内皮生长因子受体 下调和上调 血管内皮生长因子 基因表达 遗传学 植物
作者
Junhan Chen,Shin‐ichi Ikeda,Kazuno Negishi,Kazuo Tsubota,Kazuo Tsubota
出处
期刊:Current Eye Research [Informa]
卷期号:48 (12): 1160-1169
标识
DOI:10.1080/02713683.2023.2252201
摘要

AbstractPurpose: Myopic choroidal neovascularization (mCNV) is a prevalent cause of vision loss. However, the development of effective therapeutic targets for mCNV has been hindered by the paucity of suitable animal models. Therefore, the aim of this study is to identify potential genes and pathways associated with mCNV and to unearth prospective therapeutic targets that can be utilized to devise efficacious treatments.Methods: Text data mining was used to identify genes linked to choroid, neovascularization, and myopia. g: Profiler was utilized to analyze the biological processes of gene ontology and the Reactome pathways. Protein interaction network analysis was performed using strings and visualized in Cytoscape. MCODE and cytoHubba were used for further screening.Results: Discovery-driven text data mining identified 55 potential genes related to choroid, neovascularization, and myopia. Gene enrichment analysis revealed 11 biological processes and seven Reactome pathways. A protein-protein interaction network with 47 nodes was constructed and analyzed using centrality ranking. Key clusters were identified through algorithm tools. Finally, 14 genes (IL6, FGF2, MMP9, IL10, TNF, MMP2, HGF, MMP3, IGF1, CCL2, CTNNB1, BDNF, NGF, and EDN1), in addition to VEGFA, were evaluated as targets with potential as future therapeutics.Conclusions: This study provides new potential therapeutic targets for mCNV, including IL6, FGF2, MMP9, IL10, TNF, MMP2, HGF, MMP3, IGF1, CCL2, CTNNB1, BDNF, NGF, and EDN1, which correspond to seven potential enriched pathways. These findings provide a basis for further research and offer new possibilities for developing therapeutic interventions for this condition.Keywords: Myopiachoroidchoroidal neovascularizationdata miningtherapeutic targets Author contributionsK.T. and T.K. conceived the concept of the study and supervised the study. J.C. conducted all experiments and wrote the manuscript. S.I. and K.N. made critical revisions to the manuscript.Disclosure statementJ.C., None; T.K., None; S.I., None; K.N., None; K.T. reports his position as CEO of Tsubota Laboratory, Inc., Tokyo, Japan, a company producing myopia-related devices.Data availability statementThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.Additional informationFundingThis work is supported by Support for Pioneering Research Initiated by the Next Generation [SPRING, 05-066-0001] by [Japan Science and Technology Agency (JST)] to J.C. and Grants-in-Aid for Scientific Research (KAKENHI) from [the Ministry of Education, Culture, Sports, Science, and Technology] to, S-i. I. [20K09834], and T.K. [21H03096].
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