定量质谱归一化在肾病综合征尿液生物标志物分析中的应用。

Timothy D Cummins, David W Powell, Daniel W Wilkey, Makayla Brady, Fredrick W Benz, Michelle T Barati, Dawn J Caster, Jon B Klein, Michael L Merchant
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引用次数: 1

摘要

慢性肾脏疾病(CKD)影响着3000万成年人,医疗保险支出高达790亿美元(2016年),是美国第九大死亡原因。在肾功能严重下降的患者中,几乎有一半的人没有症状或未被诊断出来。尿液提供了一种理想的生物流体,可用于高灵敏度的基于质谱的蛋白质组学分析,并且是肾脏稳态的指标。虽然使用尿液生物标志物可以帮助CKD的准确诊断和更好的疾病管理,但在过量蛋白质或肾病尿液样本中发现它们可能会带来挑战。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)定量和改进的蛋白质定量,利用报告离子归一化尿肌酐来分析一种肾病综合征(FSGS)患者的尿蛋白。对缓解期和活动性疾病发作期患者的尿液进行了比较分析。二维LC-MS/MS TMT定量分析鉴定了1058种尿蛋白,580种含2个或更多多肽的蛋白可定量。在2D-TMT-LC-MS/MS实验中,将TMT丰度值归一化为每毫升尿浓缩肌酐降低了变异性。单因素和多因素分析显示,27种蛋白质在蛋白尿疾病发作中显著增加。分层热图聚类显示,与缓解期尿液样本相比,活动性疾病患者的SERPINA1和ORM1增加了>1.5倍。ELISA验证的SERPINA1和ORM1丰度与我们的定量TMT蛋白质组学分析一致。这些发现为该方法鉴定CKD的新诊断标记提供了支持,并确定SERPINA1和ORM1是FSGS的有希望的候选诊断标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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.

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