Silva Nathalia R, Picolo Bianca U, de Sousa Letícia C M, Dos Santos Marta S, Polveiro Richard C, Almeida-Souza Hebréia O, Martins Mário M, Goulart Filho Luiz R, da Silva Luciana S
Faculty of Medicine, Federal University of Uberlândia, Uberlândia 38402-293, Brazil.
Nanobiotechnology Laboratory Prof. Luiz Ricardo Goulart Filho, Institute of Biotechnology, Federal University of Uberlândia, Uberlândia 38405-319, Brazil.
Int J Mol Sci. 2025 Jun 6;26(12):5429. doi: 10.3390/ijms26125429.
The increasing number of individuals with chronic kidney disease (CKD), mainly due to lifestyle changes-such as increased consumption of processed foods, physical inactivity, obesity, and smoking habits-and population aging, highlights the need to identify new biomarkers to facilitate monitoring of CKD progression and, consequently, predict end-stage renal disease (ESRD). This study aimed to analyze the proteomic profile of urine samples from healthy individuals and those with ESRD to identify potential biomarkers for this advanced stage of CKD. Urine samples were collected from 20 participants, comprising 10 healthy individuals and 10 patients with ESRD, and analyzed via liquid chromatography coupled with a tandem mass spectrometer. Bioinformatics analyses, including gene ontology and protein interaction, were subsequently conducted. A total of 416 proteins were identified in the proteomic profiles of the groups, and 19 proteins showed statistically significant differences between them. Of these, five proteins-hemopexin, beta-2-microglobulin, retinol-binding protein 4, transthyretin, and factor D-emerged as potential biomarkers for ESRD. The proteins identified were able to characterize and differentiate the urinary proteomic profiles of the two groups. The five selected proteins represent promising candidates for ESRD biomarkers.
慢性肾脏病（CKD）患者数量不断增加，主要归因于生活方式的改变，如加工食品消费增加、缺乏体育锻炼、肥胖和吸烟习惯，以及人口老龄化。这凸显了识别新生物标志物以促进监测CKD进展并进而预测终末期肾病（ESRD）的必要性。本研究旨在分析健康个体和ESRD患者尿液样本的蛋白质组学特征，以识别CKD这一晚期阶段的潜在生物标志物。从20名参与者中收集尿液样本，其中包括10名健康个体和10名ESRD患者，并通过液相色谱与串联质谱仪进行分析。随后进行了包括基因本体论和蛋白质相互作用在内的生物信息学分析。在两组的蛋白质组学特征中共鉴定出416种蛋白质，其中19种蛋白质在两组之间表现出统计学上的显著差异。其中，血色素结合蛋白、β-2-微球蛋白、视黄醇结合蛋白4、转甲状腺素蛋白和补体因子D这五种蛋白质成为ESRD的潜在生物标志物。所鉴定的蛋白质能够表征和区分两组的尿液蛋白质组学特征。所选的这五种蛋白质是ESRD生物标志物的有前景的候选物。
