Proteomic analysis of eccrine sweat: implications for the discovery of schizophrenia biomarker proteins.
Proteomic analysis of eccrine sweat: implications for the discovery of schizophrenia biomarker proteins.
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DOI：
10.1021/pr2007957
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发表时间：
2012-04-06
影响因子：
4.4
通讯作者：
Kirsch WM
中科院分区：
文献类型：
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作者：
Raiszadeh MM;Ross MM;Russo PS;Schaepper MA;Zhou W;Deng J;Ng D;Dickson A;Dickson C;Strom M;Osorio C;Soeprono T;Wulfkuhle JD;Petricoin EF;Liotta LA;Kirsch WM
对健康对照者的小汗腺汗液进行液相色谱串联质谱（LC-MS/MS）和多反应监测质谱（MRM-MS）蛋白质组学分析，并将结果与诊断为精神分裂症（SZ）个体的结果进行比较。这是汗液蛋白质组的首次大规模研究。首先，我们对汇集的 SZ 样品和汇集的对照样品进行 LC-MS/MS，以进行全局蛋白质组学分析。结果显示，小汗腺汗液中含有大量不同的蛋白质和肽。从汗液样本中鉴定出的大多数蛋白质与血清中最丰富的蛋白质不同，这表明小汗腺汗液不仅仅是血浆漏出物，因此可能是与疾病相关的独特生物分子的来源。通过 LC-MS/MS 和光谱计数分析第二组独立的患者和对照汗液样本，以确定对照组和疾病组之间的定性蛋白质差异丰度。选定蛋白质的差异丰度最初通过光谱计数确定，并通过 MRM-MS 分析进行验证。 SZ 混合样品和对照混合样品之间有 17 种蛋白质显示出大约两倍或更高的差异丰度。本研究证明了 LC-MS/MS 和 MRM-MS 作为发现和验证潜在汗液蛋白疾病生物标志物的可行策略的实用性。
Liquid chromatography tandem mass spectrometry (LC-MS/MS) and multiple reaction monitoring mass spectrometry (MRM-MS) proteomics analyses were performed on eccrine sweat of healthy controls, and the results were compared with those from individuals diagnosed with schizophrenia (SZ). This is the first large scale study of the sweat proteome. First, we performed LC-MS/MS on pooled SZ samples and pooled control samples for global proteomics analysis. Results revealed a high abundance of diverse proteins and peptides in eccrine sweat. Most of the proteins identified from sweat samples were found to be different than the most abundant proteins from serum, which indicates that eccrine sweat is not simply a plasma transudate, and may thereby be a source of unique disease-associated biomolecules. A second independent set of patient and control sweat samples were analyzed by LC-MS/MS and spectral counting to determine qualitative protein differential abundances between the control and disease groups. Differential abundances of selected proteins, initially determined by spectral counting, were verified by MRM-MS analyses. Seventeen proteins showed a differential abundance of approximately two-fold or greater between the SZ pooled sample and the control pooled sample. This study demonstrates the utility of LC-MS/MS and MRM-MS as a viable strategy for the discovery and verification of potential sweat protein disease biomarkers.