使用抗体微阵列进行蛋白质组生物标记评估:微阵列和ELISA等分析方法之间的关联
Nadezhda G Gumanova1, Natalya L Bogdanova1, Victoria A Metelskaya1
1National Research Center for Preventive Medicine (NRCPM), Moscow, Russia.
Laboratory medicine
|September 11, 2023
概括
微阵列血清分析有效地识别了诸如动脉样硬化等疾病的潜在蛋白质生物标志物. 一个1.5倍的蛋白质差异和只有3个微阵列足以进行初始候选者评估.
科学领域:
- 生物标志物发现发现
- 蛋白质组学是指蛋白质组学.
- 分析化学 分析化学
背景情况:
- 病例控制研究对于识别与疾病相关的生物标志物至关重要.
- 微阵列技术为同时分析多种蛋白质提供了一种高通量方法.
- 与酶相关的免疫吸收试验 (ELISA) 是验证候选生物标志物的常用方法.
研究的目的:
- 评估微阵列技术在病例控制研究中的生物标志物估计的有效性.
- 确定最佳数量的微阵列和切断值,以可靠地识别生物标志物.
- 为了与ELISA进行验证,将微阵列结果与ELISA进行比较.
主要方法:
- 分析了来自动脉样硬化和心房的病例控制研究的321个血清样本.
- 在48个血清样本上使用微阵列技术.
- 使用ELISA和商业套件确认了微阵列的发现.
主要成果:
- 确定了三种蛋白质 (cadherin-P,神经元氧化合成酶,腺病毒纤维),病例和对照组之间存在显著差异.
- 确定了1.5倍的蛋白质差异作为进一步调查的足够门.
- 证明只有3个微阵列可以为初步蛋白质评估提供足够的数据.
结论:
- 微阵列血清分析提供了可靠的蛋白质水平的半定量确定.
- 1.5倍的变化足以选择候选蛋白质进行进一步研究.
- 最小的微阵列使用 (3 个阵列) 足以进行初始生物标志物查.
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