Urinary Proteome and Exosome Analysis Protocol for the Discovery of Respiratory Diseases Biomarkers.

IF 4.8 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Biomolecules Pub Date : 2025-01-03 DOI:10.3390/biom15010060
Laura Martelo-Vidal, Sara Vázquez-Mera, Pablo Miguéns-Suárez, Susana Belén Bravo-López, Heidi Makrinioti, Vicente Domínguez-Arca, Javier de-Miguel-Díez, Alberto Gómez-Carballa, Antonio Salas, Francisco Javier González-Barcala, Francisco Javier Salgado, Juan José Nieto-Fontarigo
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Abstract

This study aims to develop a protocol for respiratory disease-associated biomarker discovery by combining urine proteome studies with urinary exosome components analysis (i.e., miRNAs). To achieve this, urine was DTT treated to decrease uromodulin, then concentrated and ultracentrifuged. Proteomic analyses of exosome-free urine were performed using LC-MS/MS. Simultaneously, miRNA expression from urine exosomes was measured using either RTqPCR (pre-amplification) or nCounter Nanostring (non-amplication) analyses. We detected 548 different proteins in exosome-free urine samples (N = 5) with high confidence (FDR < 1%), many of them being expressed in different non-renal tissues. Specifically, lung-related proteins were overrepresented (Fold enrichment = 1.31; FDR = 0.0335) compared to whole human proteome, and 10-15% were already described as protein biomarkers for several pulmonary diseases. Urine proteins identified belong to several functional categories important in respiratory pathology. We could confirm the expression of miRNAs previously connected to respiratory diseases (i.e., miR-16-5p, miR-21-5p, miR-146a-5p, and miR-215-5p) in urine exosomes by RTqPCR. Finally, we detected 333 miRNAs using Nanostring, 15 of them up-regulated in T2high asthma (N = 4) compared to T2low asthma (N = 4) and healthy subjects (N = 4). Therefore, this protocol combining the urinary proteome (exosome free) with the study of urinary exosome components (i.e., miRNAs) holds great potential for molecular biomarker discovery of non-renal and particularly respiratory pathologies.

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尿蛋白质组和外泌体分析方案用于发现呼吸系统疾病生物标志物。
本研究旨在通过结合尿液蛋白质组学研究和尿液外泌体成分分析(即miRNAs),开发一种发现呼吸系统疾病相关生物标志物的方案。为此,对尿液进行DTT处理以降低尿调素,然后进行浓缩和超离心。采用LC-MS/MS对无外泌体尿液进行蛋白质组学分析。同时,使用RTqPCR(预扩增)或nCounter Nanostring(非扩增)分析测量尿外泌体的miRNA表达。我们在无外泌体尿液样本(N = 5)中检测到548种不同的蛋白质,高置信度(FDR < 1%),其中许多蛋白质在不同的非肾组织中表达。具体来说,肺相关蛋白被过度表达(Fold富集= 1.31;FDR = 0.0335)与整个人类蛋白质组相比,10-15%已经被描述为几种肺部疾病的蛋白质生物标志物。已确定的尿蛋白属于呼吸病理中重要的几个功能类别。我们可以通过RTqPCR确认先前与呼吸系统疾病相关的mirna(即miR-16-5p、miR-21-5p、miR-146a-5p和miR-215-5p)在尿外泌体中的表达。最后,我们使用Nanostring检测了333个mirna,其中15个mirna在t2高哮喘患者(N = 4)中比t2低哮喘患者(N = 4)和健康受试者(N = 4)中表达升高。因此,该方案将尿蛋白质组(游离外泌体)与尿外泌体成分(即mirna)的研究结合起来,在非肾脏疾病,特别是呼吸系统疾病的分子生物标志物发现方面具有很大的潜力。
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来源期刊
Biomolecules
Biomolecules Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
3.60%
发文量
1640
审稿时长
18.28 days
期刊介绍: Biomolecules (ISSN 2218-273X) is an international, peer-reviewed open access journal focusing on biogenic substances and their biological functions, structures, interactions with other molecules, and their microenvironment as well as biological systems. Biomolecules publishes reviews, regular research papers and short communications.  Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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