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对在透析中患有功能衰竭的患者中大规模的aptamer蛋白质组学平台的评估

Yue Ren¹, Peifeng Ruan², Mark Segal³

¹Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

|December 11, 2023

概括

这项研究验证了对功能衰竭患者的SomaScan试验,显示出低可变性和识别死亡生物标志物的潜力. 通过最大概率 (ANML) 的自适应性规范化格式有助于数据比较.

科学领域:

生物化学生物化学
蛋白质组学是指蛋白质组学.
腎臟病學 (nephrology) 是一種醫學專業.

背景情况:

功能衰竭与高死亡率有关.
目前对于功能衰竭患者的风险分层标志物是不够的.
进行了SomaScan的质量控制研究,以准备在衰竭队列中进行更大规模的研究.

研究的目的:

评估SomaScan试验在功能衰竭患者中的技术和生物可变性.
评估SomaScan数据的最大概率适应性规范化 (ANML) 数据格式的实用性.
确定与功能衰竭患者死亡率相关的潜在蛋白质生物标志物.

主要方法:

测量大约5000种蛋白质的SomaScan试验使用来自衰竭患者的血进行了评估.
在40名参与者中评估了技术和短期生物变异性 (CERES研究).
在421名参与者 (慢性功能衰竭队列) 中研究了长期变异性.
数据以原始格式和ANML格式进行分析.

主要成果:

索马斯康试验显示出优异的技术变异性 (试验内CV2.38%,试验间CV7.38%) 和低的短期内对象变异性 (CV5.76%).
与原始数据相比,ANML格式化减少了技术和短期生物变异性.
确定了与死亡率相关的显著蛋白质变化,包括SVEP1和keratocan.
对于PTH,NT-proBNP,FGF-23和CRP,与传统试验的正交相关性仍然很强 (>0.7).

结论:

索马扫描试验在功能衰竭患者中表现出卓越的技术性能和低短期变异性.
ANML 格式化增强了跨研究数据的可比性.
预计SomaScan平台将为功能衰竭提供新的,可重复的见解,特别是对于透析患者.

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