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肾病综合征尿液生物标志物分析中的定量质谱标准化

Quantitative Mass Spectrometry Normalization in Urine Biomarker Analysis in Nephrotic Syndrome.

作者信息

Cummins Timothy D, Powell David W, Wilkey Daniel W, Brady Makayla, Benz Fredrick W, Barati Michelle T, Caster Dawn J, Klein Jon B, Merchant Michael L

机构信息

Kidney Disease Program and Clinical Proteomics Center.

Department of Biochemistry and Molecular Genetics.

出版信息

Glomerular Dis. 2022 Jul;2(3):121-131. doi: 10.1159/000522217. Epub 2022 Jan 27.

Abstract

Chronic kidney disease (CKD) affects 30 million adults, costs ~$79 billion dollars (2016) in Medicare expenditures, and is the ninth leading cause of death in the United States. The disease is silent or undiagnosed in almost half of people with severely reduced kidney function. Urine provides an ideal biofluid that is accessible to high-sensitivity mass spectrometry-based proteomic interrogation and is an indicator of renal homeostasis. While the accurate and precise diagnosis and better disease management of CKD can be aided using urine biomarkers, their discovery in excessive protein or nephrotic urine samples can present challenges. In this work we present a mass spectrometry-based method utilizing multiplex tandem mass tag (TMT) quantification and improved protein quantification using reporter ion normalization to urinary creatinine to analyze urinary proteins from patients with a form of nephrotic syndrome (FSGS). A comparative analysis was performed for urine from patients in remission versus active disease flare. Two-dimensional LC-MS/MS TMT quantitative analysis identified over 1058 urine proteins, 580 proteins with 2 peptides or greater and quantifiable. Normalization of TMT abundance values to creatinine per ml of urine concentrated reduced variability in 2D-TMT-LC-MS/MS experiments. Univariate and multivariate analyses showed that 27 proteins were significantly increased in proteinuric disease flare. Hierarchical heatmap clustering showed that SERPINA1 and ORM1 were >1.5 fold increased in active disease versus remission urine samples. ELISA validation of SERPINA1 and ORM1 abundance agreed with our quantitative TMT proteomics analysis. These findings provide support for the utility of this method for identification of novel diagnostic markers of CKD and identify SERPINA1 and ORM1 as promising candidate diagnostic markers for FSGS.

摘要

慢性肾脏病(CKD)影响着3000万成年人,2016年医疗保险支出约790亿美元,是美国第九大死因。在肾功能严重下降的人群中,几乎有一半的人患有这种隐匿性或未被诊断出的疾病。尿液是一种理想的生物流体,可用于基于高灵敏度质谱的蛋白质组学检测,是肾脏内环境稳态的一个指标。虽然使用尿液生物标志物有助于慢性肾脏病的准确诊断和更好的疾病管理,但在高蛋白或肾病尿液样本中发现这些标志物可能具有挑战性。在这项工作中,我们提出了一种基于质谱的方法,利用多重串联质量标签(TMT)定量,并通过将报告离子归一化为尿肌酐来改进蛋白质定量,以分析局灶节段性肾小球硬化症(FSGS)患者的尿液蛋白质。对缓解期患者与疾病活动期复发患者的尿液进行了比较分析。二维液相色谱-串联质谱TMT定量分析鉴定出1058种以上尿液蛋白质,其中580种蛋白质有两条或更多肽段且可定量。将TMT丰度值归一化为每毫升浓缩尿液中的肌酐,可降低二维TMT液相色谱-串联质谱实验中的变异性。单变量和多变量分析表明,27种蛋白质在蛋白尿疾病发作时显著增加。层次热图聚类显示,与缓解期尿液样本相比,SERPINA1和ORM1在疾病活动期尿液样本中增加了1.5倍以上。SERPINA1和ORM1丰度的酶联免疫吸附测定(ELISA)验证与我们的定量TMT蛋白质组学分析结果一致。这些发现为该方法在鉴定慢性肾脏病新诊断标志物方面的实用性提供了支持,并将SERPINA1和ORM1鉴定为FSGS有前景的候选诊断标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbb8/9710330/4ac43f01a672/gdz-0002-0121-g01.jpg

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