Proteomic analysis of aqueous humor proteins associated with neovascular glaucoma secondary to proliferative diabetic retinopathy

IF 0.5 4区生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2020-12-10 DOI:10.2174/1570164618999201210224640

Ying Wang, Shao-lin Xu, Junyi Li, Fujie Yuan, Yue Chen, Kelin Liu

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Abstract

Extensive retinal ischemia caused by proliferative diabetic retinopathy (PDR) may develop into neo-vascular glaucoma (NVG). We searched for the proteins which might participate in neovascularization through the analysis of aqueous humor (AH) proteomics in patients with NVG secondary to PDR to increasing the understanding of the possible mechanism of neovascularization. We collected 12 samples (group A) of AH from patients with NVG secondary to PDR as the experimental group and 7 samples (group B) of AH from patients with primary acute angle-closure glaucoma (PAACG) & diabetes mellitus without diabetic retinopathy (NDR) as the control group. Differential quantitative proteome analysis of the aqueous humor samples was performed based on data-independent acquisition (DIA) method. The differentially expressed proteins were functionally annotated by Ingenuity Pathway Analysis (IPA). The important differentially expressed proteins were validated in another group (group A: 5 samples and group B: 5 samples) by parallel reaction monitor (PRM) approach . A total of 636 AH proteins were identified, and 82 proteins were differentially expressed between two groups. Functional annotation showed that the differentially expressed proteins were mainly associated with angiogenesis and cell migration. Signaling pathways analysis showed that the proteins up-regulated in group A were mainly related to Liver X re-ceptor/Retinoid X receptor (LXR/RXR) activation and acute reaction. This study presented a pilot work related to NVG secondary to PDR, which provided a better understanding of the mechanisms governing the pathophysiology of NVG.

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与增殖性糖尿病视网膜病变继发的新生血管性青光眼相关的房水蛋白的蛋白质组学分析

增殖性糖尿病视网膜病变(PDR)引起的广泛视网膜缺血可发展为新生血管性青光眼(NVG)。我们通过对PDR继发NVG患者房水(AH)的蛋白质组学分析，寻找可能参与新生血管形成的蛋白，以增加对新生血管形成可能机制的认识。我们从PDR继发NVG患者中采集AH样本12份(A组)作为实验组，从原发性急性闭角型青光眼(PAACG)和糖尿病合并无糖尿病视网膜病变(NDR)患者中采集AH样本7份(B组)作为对照组。基于数据独立采集(DIA)方法对房水样品进行差异定量蛋白质组分析。通过独创性途径分析(Ingenuity Pathway Analysis, IPA)对差异表达蛋白进行功能注释。在另一组(A组5个样本，B组5个样本)中，采用平行反应监测(PRM)方法验证重要差异表达蛋白，共鉴定出636个AH蛋白，两组间差异表达蛋白82个。功能注释显示，差异表达蛋白主要与血管生成和细胞迁移有关。信号通路分析显示，A组上调的蛋白主要与肝X受体/类视黄醇X受体(LXR/RXR)激活及急性反应有关。本研究提出了一项与PDR继发NVG相关的试点工作，为更好地理解NVG的病理生理机制提供了依据。

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来源期刊

Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY

CiteScore

1.60

自引率

0.00%

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审稿时长

>0 weeks

期刊介绍： Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.