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基于多样本质谱的慢性肾脏病损伤标志物发现方法。

Multisample Mass Spectrometry-Based Approach for Discovering Injury Markers in Chronic Kidney Disease.

机构信息

Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.

Proteomics Core Facility, Seoul National University Hospital, Seoul, Korea; Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.

出版信息

Mol Cell Proteomics. 2021;20:100037. doi: 10.1074/mcp.RA120.002159. Epub 2021 Jan 13.

Abstract

Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to determine urinary markers of CKD renal parenchymal injury through proteomics analysis in animal kidney tissues and cells and in the urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatography-tandem mass spectrometry was performed on urine samples obtained from 6 normal controls and 9, 11, and 10 patients with CKD stages 1, 3, and 5, respectively, and on kidney tissue samples from a rat CKD model by 5/6 nephrectomy. Tandem mass tag-based quantitative proteomics analysis was performed for glomerular endothelial cells (GECs) and proximal tubular epithelial cells (PTECs) before and after inducing 24-h hypoxia injury. Upon hierarchical clustering, out of 858 differentially expressed proteins (DEPs) in the urine of CKD patients, the levels of 416 decreased and 403 increased sequentially according to the disease stage, respectively. Among 2965 DEPs across 5/6 nephrectomized and sham-operated rat kidney tissues, 86 DEPs showed same expression patterns in the urine and kidney tissue. After cross-validation with two external animal proteome data sets, 38 DEPs were organized; only ten DEPs, including serotransferrin, gelsolin, poly ADP-ribose polymerase 1, neuroblast differentiation-associated protein AHNAK, microtubule-associated protein 4, galectin-1, protein S, thymosin beta-4, myristoylated alanine-rich C-kinase substrate, and vimentin, were finalized by screening human GECs and PTECs data. Among these ten potential candidates for universal CKD marker, validation analyses for protein S and galectin-1 were conducted. Galectin-1 was observed to have a significant inverse correlation with renal function as well as higher expression in glomerulus with chronic injury than protein S. This constitutes the first multisample proteomics study for identifying key renal-expressed proteins associated with CKD progression. The discovered proteins represent potential markers of chronic renal cell and tissue damage and candidate contributors to CKD pathophysiology.

摘要

尿蛋白质组学研究主要集中在鉴定慢性肾脏病(CKD)进展的标志物上。在这里,我们旨在通过对动物肾组织和细胞以及 CKD 患者尿液中的蛋白质组学分析来确定 CKD 肾实质损伤的标志物。对 6 名正常对照者、9 名 CKD 1 期患者、11 名 CKD 3 期患者和 10 名 CKD 5 期患者的尿样以及 5/6 肾切除大鼠 CKD 模型的肾组织样本进行了基于液相色谱-串联质谱的无标记定量蛋白质组学分析。对肾小球内皮细胞(GEC)和近端肾小管上皮细胞(PTEC)在诱导 24 小时缺氧损伤前后进行了串联质量标签定量蛋白质组学分析。经过层次聚类,在 CKD 患者尿液中 858 个差异表达蛋白(DEPs)中,分别有 416 个蛋白水平逐渐降低,403 个蛋白水平逐渐升高,分别与疾病阶段相关。在 5/6 肾切除和假手术大鼠肾组织中 2965 个 DEPs 中,86 个 DEPs 在尿液和肾组织中的表达模式相同。与两个外部动物蛋白质组数据集交叉验证后,组织了 38 个 DEPs;只有十个 DEPs,包括转铁蛋白、凝胶蛋白、多聚 ADP-核糖聚合酶 1、神经母细胞分化相关蛋白 AHNAK、微管相关蛋白 4、半乳糖凝集素-1、蛋白 S、胸腺素 β-4、豆蔻酰化丙氨酸丰富 C-激酶底物和波形蛋白,通过筛选人类 GEC 和 PTEC 数据最终确定。在这 10 个潜在的 CKD 通用标志物候选物中,对蛋白 S 和半乳糖凝集素-1 进行了验证分析。结果表明,半乳糖凝集素-1与肾功能呈显著负相关,且在慢性损伤肾小球中的表达高于蛋白 S。这是首次进行多样本蛋白质组学研究,以鉴定与 CKD 进展相关的关键肾表达蛋白。所发现的蛋白代表了慢性肾细胞和组织损伤的潜在标志物,也是 CKD 病理生理学的候选贡献者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87b3/7950200/f6d39cbea267/fx1.jpg

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