In vitro analysis of VEGF-mediated endothelial permeability and the potential therapeutic role of Anti-VEGF in severe dengue

IF 2.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemistry and Biophysics Reports Pub Date : 2024-08-22 DOI:10.1016/j.bbrep.2024.101814
Sheng Jye Lim , Seng Chiew Gan , Hooi Tin Ong , Yun Fong Ngeow
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Abstract

Background

Vascular endothelial growth factor (VEGF) is one of the proteins involved in dengue immunopathogenesis. It is overexpressed in severe dengue and contributes to vascular permeability and plasma leakage. In this study, we investigated the effects of VEGF and anti-VEGF treatments on endothelial cells in vitro, to assess the potential use of anti-VEGF antibodies in managing severe dengue.

Methods

Human pulmonary microvascular endothelial cells were treated with VEGF and a VEGF/anti-VEGF combination. The effects of the treatments were studied using an endothelial permeability assay and microarray gene expression profiling. In the permeability assay, the fluorescein isothiocyanate (FITC)-dextran fluorescence signal across the endothelial monolayer was recorded, and the cells were stained with PECAM-1 to detect gap formation. RNA was extracted from treated cells for microarray gene profiling and analysis. The results were analyzed for differentially expressed genes (DEGs) and gene enrichment analysis. The DEGs were subjected to STRING to construct the protein-protein interaction network and then Cytoscape to identify the hub genes.

Results

VEGF-treated endothelial cells showed greater movement of FITC-dextran across the monolayer than VEGF/anti-VEGF-treated cells. There were 111 DEGs for VEGF-treated cells and 118 DEGs for VEGF/anti-VEGF-treated cells. The genes upregulated in VEGF-treated cells were enriched in inflammatory responses and regulation of the endothelial barrier, nitric oxide synthesis, angiogenesis, and the nucleotide-binding oligomerization domain-like receptor signaling pathway. Top 10 hub genes were identified from the DEGs.

Conclusions

VEGF treatment increased permeability across endothelial cells, while anti-VEGF reduced this leakage. Analysis of VEGF-treated endothelial cells identified hub genes implicated in severe dengue. The top 10 hub genes were TNF, IL1B, IL6, CCL2, PTGS2, ICAM1, CXCL2, CXCL1, CSF2, and TLR2. The results of this study show that using anti-VEGF antibodies to neutralize VEGF may be a promising therapy to prevent the progression of dengue to severe dengue.

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体外分析血管内皮生长因子介导的内皮通透性以及抗血管内皮生长因子对重症登革热的潜在治疗作用
背景血管内皮生长因子(VEGF)是参与登革热免疫发病机制的蛋白质之一。它在重症登革热中过度表达,并导致血管通透性和血浆渗漏。本研究调查了 VEGF 和抗 VEGF 治疗对体外内皮细胞的影响,以评估抗 VEGF 抗体在治疗重症登革热中的潜在用途。用内皮通透性试验和芯片基因表达谱分析研究了治疗的效果。在通透性试验中,记录穿过内皮单层的异硫氰酸荧光素(FITC)-葡聚糖荧光信号,并用 PECAM-1 染色细胞以检测间隙的形成。从处理过的细胞中提取 RNA 进行芯片基因谱分析。分析结果包括差异表达基因(DEGs)和基因富集分析。结果VEGF处理的内皮细胞比VEGF/抗VEGF处理的细胞显示出更大的FITC-葡聚糖在单层上的移动。VEGF处理的细胞有111个DEGs,VEGF/抗VEGF处理的细胞有118个DEGs。VEGF处理过的细胞中上调的基因主要集中在炎症反应和内皮屏障调节、一氧化氮合成、血管生成以及核苷酸结合寡聚化结构域样受体信号通路。结论VEGF 处理会增加内皮细胞的通透性,而抗 VEGF 则会减少这种渗漏。对血管内皮生长因子处理过的内皮细胞进行分析,发现了与重症登革热有关的枢纽基因。前 10 个中心基因是 TNF、IL1B、IL6、CCL2、PTGS2、ICAM1、CXCL2、CXCL1、CSF2 和 TLR2。这项研究结果表明,使用抗血管内皮生长因子抗体中和血管内皮生长因子可能是一种很有前景的疗法,可防止登革热发展为重症登革热。
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来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
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