Unveiling Key Genes Modulating Retinal Cell Survival and Autophagy in Glaucoma.

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Biotechnology Pub Date : 2024-12-18 DOI:10.1007/s12033-024-01341-0
Yingmei Li, Jing Ma, Xin Li, Chao Huang
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Abstract

Glaucoma is a leading cause of irreversible blindness, with rising incidence globally. Effective treatment is challenging due to limited understanding of the disease mechanisms. Growth factor activity is crucial in glaucoma, with potential to reduce retinal ganglion cell (RGC) apoptosis and slow disease progression. This study aims to identify and analyze differentially expressed genes (DEGs) involved in growth factor activity to uncover new therapeutic targets. We analyzed the GSE9944 dataset from the Gene Expression Omnibus (GEO) to identify DEGs associated with glaucoma, resulting in 94 DEGs, including 29 down-regulated and 65 up-regulated genes. Functional enrichment and protein-protein interaction (PPI) network analyses were conducted using bioinformatics tools, highlighting the roles of Bone Morphogenetic Protein 1 (BMP1), Pleiotrophin (PTN), and f fibroblast Growth Factor 7 (FGF7). Aberrant expression vectors for these genes were transfected into RGCs derived from a glaucoma model to evaluate their impact on cell viability, apoptosis, and autophagy. Bioinformatics analysis of the GSE9944 dataset identified 94 DEGs, with 29 down-regulated and 65 up-regulated genes. Functional enrichment analysis revealed that these DEGs were involved in pathways related to growth factor activity, apoptosis, and autophagy, processes highly relevant to glaucoma pathogenesis. PPI network analysis identified BMP1, PTN, and FGF7 as central hub genes involved in extracellular matrix organization and growth factor signaling. In experimental validation using RGCs, we found that up-regulation of BMP1 significantly enhanced RGC viability and reduced apoptosis. Conversely, silencing PTN and FGF7 provided protective effects, enhancing RGC survival. Silencing BMP1 and upregulating PTN and FGF7 led to increased RGC apoptosis. Additionally, BMP1 was found to inhibit autophagy in RGCs, whereas PTN and FGF7 promoted autophagic activity, suggesting differential regulatory roles in glaucoma pathogenesis. Overall, BMP1, PTN, and FGF7 play critical roles in the regulation of RGC activity and autophagy in glaucoma, making them promising molecular targets for future therapeutic interventions.

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揭示青光眼视网膜细胞存活和自噬调节的关键基因。
青光眼是不可逆失明的主要原因,全球发病率不断上升。由于对疾病机制的了解有限,有效的治疗具有挑战性。生长因子活性在青光眼中至关重要,具有减少视网膜神经节细胞(RGC)凋亡和减缓疾病进展的潜力。本研究旨在鉴定和分析参与生长因子活性的差异表达基因(DEGs),以发现新的治疗靶点。我们分析了来自基因表达综合(GEO)的GSE9944数据集,以确定与青光眼相关的基因,结果发现94个基因,其中29个下调,65个上调。利用生物信息学工具进行了功能富集和蛋白相互作用(PPI)网络分析,强调了骨形态发生蛋白1 (BMP1)、多营养蛋白(PTN)和成纤维细胞生长因子7 (FGF7)的作用。这些基因的异常表达载体被转染到青光眼模型衍生的RGCs中,以评估它们对细胞活力、凋亡和自噬的影响。对GSE9944数据集进行生物信息学分析,鉴定出94个基因,其中29个下调,65个上调。功能富集分析显示,这些deg参与了与生长因子活性、细胞凋亡和自噬相关的途径,这些过程与青光眼的发病机制高度相关。PPI网络分析发现BMP1、PTN和FGF7是参与细胞外基质组织和生长因子信号传导的中心枢纽基因。在RGC的实验验证中,我们发现上调BMP1可显著提高RGC的活力,减少细胞凋亡。相反,沉默PTN和FGF7提供保护作用,提高RGC存活。沉默BMP1,上调PTN和FGF7可导致RGC细胞凋亡增加。此外,BMP1抑制RGCs的自噬,而PTN和FGF7促进自噬活性,提示青光眼发病机制的不同调节作用。总之,BMP1、PTN和FGF7在青光眼RGC活性和自噬的调控中发挥关键作用,使它们成为未来治疗干预的有希望的分子靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Biotechnology
Molecular Biotechnology 医学-生化与分子生物学
CiteScore
4.10
自引率
3.80%
发文量
165
审稿时长
6 months
期刊介绍: Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.
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