Department of Ophthalmology, The Chinese People's Liberation Army General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Department of Ophthalmology, Air Force Medical Center, PLA, No.15 Chang Yun Gong, Haidian District, Beijing, 100089, China.
BMC Ophthalmol. 2020 Apr 14;20(1):143. doi: 10.1186/s12886-020-01381-5.
This study aimed to identify and evaluate potential molecular targets associated with the development of proliferative diabetic retinopathy (DR).
The microarray dataset "GSE60436" generated from fibrovascular membranes (FVMs) associated with proliferative DR was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) from the active FVMs and control or inactive FVMs and control were evaluated and co-DEGs were identified using VEEN analysis. Functional enrichment analysis, and protein-protein interactions (PPI) network and module analyses were performed on the upregulated and downregulated coDEGs. Finally, several predictions regarding microRNAs (miRNAs) and transcription factors (TFs) were made to construct a putative TF-miRNA-target network.
A total of 1475 co-DEGs were screened in active/inactive FVM samples, including 461 upregulated and 1014 downregulated genes, which were enriched for angiogenesis [Hypoxia Inducible Factor 1 Subunit Alpha (HIF1A) and Placental Growth Factor (PGF)] and visual perception, respectively. In the case of the upregulated co-DEGs, Kinesin Family Member 11 (KIF11), and BUB1 Mitotic Checkpoint Serine/Threonine Kinase (BUB1) exhibited the highest values in both the PPI network and module analyses, as well as the genes related to mitosis. In the case of downregulated co-DEGs, several G protein subunits, including G Protein Subunit Beta 3 (GNB3), exhibited the highest values in both the PPI network and module analyses. The genes identified in the module analysis were found to be from the signal transduction-related pathways. In addition, we were able to identify four miRNAs and five TFs, including miR-136 and miR-374.
In brief, HIF1A, PGF, KIF11, G protein subunits, and miR-136, miR-374 may all be involved in angiogenesis, retinal endothelial cell proliferation, and visual signal transduction in proliferative DR. This study provides a number of novel insights that may aid the development of future studies dedicated to discovering novel therapeutic targets in proliferative DR.
本研究旨在鉴定和评估与增生性糖尿病视网膜病变(DR)发展相关的潜在分子靶标。
从基因表达综合数据库(GEO)中下载与增生性 DR 相关的纤维血管膜(FVM)的微阵列数据集“GSE60436”。使用 VEEN 分析评估来自活性 FVM 和对照或非活性 FVM 和对照的差异表达基因(DEGs),并鉴定共同 DEGs。对上调和下调的共 DEGs 进行功能富集分析、蛋白质-蛋白质相互作用(PPI)网络和模块分析。最后,对 microRNAs(miRNAs)和转录因子(TFs)进行了一些预测,以构建一个可能的 TF-miRNA-靶标网络。
在活性/非活性 FVM 样本中筛选出 1475 个共 DEGs,包括 461 个上调和 1014 个下调基因,分别富集了血管生成[缺氧诱导因子 1 亚基α(HIF1A)和胎盘生长因子(PGF)]和视觉感知。上调共 DEGs 中,在 PPI 网络和模块分析中,驱动蛋白家族成员 11(KIF11)和 BUB1 有丝分裂检查点丝氨酸/苏氨酸激酶(BUB1)的分值最高,以及与有丝分裂相关的基因。下调共 DEGs 中,G 蛋白亚基 G 蛋白亚基β 3(GNB3)在 PPI 网络和模块分析中的分值最高。模块分析中鉴定的基因来自信号转导相关途径。此外,我们还能够鉴定出 4 个 miRNAs 和 5 个 TFs,包括 miR-136 和 miR-374。
简而言之,HIF1A、PGF、KIF11、G 蛋白亚基和 miR-136、miR-374 可能都参与了增生性 DR 中的血管生成、视网膜内皮细胞增殖和视觉信号转导。本研究提供了一些新的见解,可能有助于未来研究发现增生性 DR 新的治疗靶点。