年轻冠状动脉疾病患者唾液小细胞外囊泡揭示蛋白质特征。

IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Pratibha Sharma, Meetanshi Sancheti, Krishna Kishore Inampudi, Ambuj Roy, Rajinder K Dhamija
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引用次数: 0

摘要

背景:唾液来源的小细胞外囊泡(sev)正在成为冠状动脉疾病(CAD)的潜在生物标志物。早期识别这些生物标志物对于有效管理和改善患者预后至关重要。我们的研究旨在从唾液中分离和表征sev,以确定年轻CAD患者的非侵入性蛋白质特征。方法:采集20例年龄在18-65岁的CAD患者的唾液sev,以及20例年龄和性别匹配的健康对照。采用差示超离心和蔗糖密度梯度法分离唾液外泌体或sev,并使用透射电子显微镜、扫描电子显微镜和纳米颗粒跟踪分析对sev进行表征。外泌体标记物包括Anti-Flotilin-1、Anti-TSG-101和Anti-CD63。通过无标签LC-MS/MS Orbitrap鉴定差异表达蛋白(DEPs),使用Proteome Discoverer 3.0对数据进行分析,使用MetaboAnalyst 6.0进行统计分析。进行了蛋白-蛋白相互作用网络、基因本体和途径富集分析。结果:我们使用无标记LC-MS/MS蛋白质组学方法鉴定了506种蛋白质,其中18种具有显著的dep。上调的蛋白主要包括胱抑素- s (CST1/CST2/CST4)、蛋白S100、α -淀粉酶和凝胶蛋白(GSN),下调的蛋白包括血清白蛋白(ALB)和载脂蛋白A1 (APOA1)。这些蛋白质在很大程度上与炎症和唾液分泌物有关。结论:我们首次提出了与CAD相关的独特唾液sev蛋白特征。在更大的队列验证可能建立胱抑素S作为CAD的潜在诊断生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Salivary small extracellular vesicles reveal protein signatures in young patients with coronary artery disease.

Background: Saliva-derived small extracellular vesicles (sEVs) are emerging as potential biomarkers for coronary artery disease (CAD). Early identification of these biomarkers is essential for effective management and improved patient outcomes. Our study aimed to isolate and characterize sEVs from saliva to identify non-invasive protein signatures in younger CAD patients.

Methods: Saliva sEVs were obtained from 20 CAD patients aged 18-65 years, and 20 healthy controls matched for age and gender. The saliva exosome or sEVs isolation was performed using differential ultracentrifugation and sucrose density gradient methods, and we characterized the sEVs using transmission electron microscopy, scanning electron microscopy, and nanoparticle tracking analysis. Western blotting was done with exosome markers including Anti-Flotilin-1, Anti-TSG-101, and Anti-CD63. Differentially expressed proteins (DEPs) were identified through label-free LC-MS/MS Orbitrap and data was analyzed using Proteome Discoverer 3.0 and statistical analysis using MetaboAnalyst 6.0. Protein-protein interaction network, gene ontology, and pathways enrichment analysis were performed.

Results: We identified 506 proteins using label-free LC-MS/MS proteomic approaches, with 18 significant DEPs. Notable upregulated proteins included mainly Cystatin-S (CST1/CST2/CST4), Protein S100, alpha-amylase, and Gelsolin (GSN), while downregulated proteins included Serum albumin (ALB) and Apolipoprotein A1 (APOA1). These proteins are linked to inflammation and salivary secretions largely.

Conclusions: For the first time, we present unique saliva sEVs protein signatures associated with CAD. Validation in larger cohorts may establish Cystatin S as a potential diagnostic biomarker for CAD.

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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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