通过无标记蛋白质组学分析研究循环外泌体,揭示从糖尿病到糖尿病肾病的转变特征

IF 0.5 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2024-08-13 DOI:10.2174/0115701646309538240805093732
Yue Yue, Yiying Tao, Jiaxin Wang, Shidi Zhao, Fan Zhao, Lei Shen, Ling Zhou
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引用次数: 0

摘要

背景:糖尿病肾病(DKD)是糖尿病(DM)常见的微血管并发症。目前,DKD 的早期诊断主要依靠微量白蛋白尿,而微量白蛋白尿容易受到尿路感染等干扰因素的影响。方法:为了确定更稳定的早期诊断标志物,采用无标记蛋白质组学分析方法对对照组、DM 患者和 DKD 患者循环外泌体中的全蛋白质组进行量化,然后用平行反应监测进行验证。结果显示共检测到391个定量蛋白质,其中7个蛋白质在验证阶段的表达趋势与发现阶段一致。表达水平评估结果显示,DKD组EFEMP1和载脂蛋白A4的表达明显高于DM组和对照组。相关性分析表明,EFEMP1和APOA4与尿微量白蛋白和尿白蛋白肌酐比值呈正相关,在区分DKD和DM及对照组方面具有很好的诊断价值。结论载脂蛋白 A4 和 EFEMP1 可作为 DKD 的早期诊断标志物。这些发现为在不久的将来开发一种能有效区分 DKD 和 DM 的临床诊断指标提供了可能。
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Circulating Exosomes Studied by Label-free Proteomics Analysis Reveal Transition Signatures from Diabetes Mellitus to Diabetic Kidney Disease
Background: Diabetic kidney disease (DKD) is a common microvascular complication of diabetic mellitus (DM). At present, the early diagnosis of DKD mainly depends on microalbuminuria, which is prone to be affected by confounding factors such as urinary tract infections. Methods: To identify the more stable early diagnosis markers, the whole proteome in the circulating exosomes from controls, DM patients, and DKD patients was quantified by label-free proteomics analysis and then validated with parallel reaction monitoring. Results: Three hundred ninety-one quantitative proteins were detected, and the expression trends of 7 proteins in the validation phase were consistent with that in the discovery phase. The expression level assessment results revealed that the expression of EFEMP1 and ApoA4 in the DKD group was significantly higher than those in DM and controls. Correlation analysis showed that EFEMP1 and APOA4 were positively correlated with urinary microalbumin and urinary albumin creatinine ratio and had excellent diagnostic values for distinguishing DKD from DM and controls. Conclusions: ApoA4 and EFEMP1 could serve as the early diagnosis markers of DKD. These findings provide a possibility for the development of a clinical diagnostic index that can efficiently distinguish DKD from DM in the near future.
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来源期刊
Current Proteomics
Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
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.
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