Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
National Center for Biology of Complex Systems, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Proteomics Clin Appl. 2021 May;15(2-3):e2000072. doi: 10.1002/prca.202000072. Epub 2021 Apr 26.
Proteomic analysis of cerebrospinal fluid (CSF) holds great promise in understanding the progression of neurodegenerative diseases, including Alzheimer's disease (AD). As one of the primary reservoirs of neuronal biomolecules, CSF provides a window into the biochemical and cellular aspects of the neurological environment. CSF can be drawn from living participants allowing the potential alignment of clinical changes with these biochemical markers. Using cutting-edge mass spectrometry technologies, we perform a streamlined proteomic analysis of CSF. We quantify greater than 700 proteins across 10 pairs of age- and sex-matched participants in approximately one hour of analysis time each. Using the paired participant study structure, we identify a small group of biologically relevant proteins that show substantial changes in abundance between cognitive normal and AD participants, which were then analyzed at the peptide level using parallel reaction monitoring experiments. Our findings suggest the utility of fractionating a single sample and using matching to increase proteomic depth in cerebrospinal fluid, as well as the potential power of an expanded study.
脑脊液(CSF)的蛋白质组学分析在理解神经退行性疾病(包括阿尔茨海默病(AD))的进展方面具有巨大的潜力。作为神经元生物分子的主要储存库之一,CSF 为神经化学环境的生化和细胞方面提供了一个窗口。可以从活体参与者中抽取 CSF,从而有可能将临床变化与这些生化标志物对齐。我们使用最先进的质谱技术对 CSF 进行简化的蛋白质组学分析。我们在大约一小时的分析时间内对 10 对年龄和性别匹配的参与者进行了超过 700 种蛋白质的定量分析。使用配对参与者研究结构,我们确定了一小部分具有生物学相关性的蛋白质,它们在认知正常和 AD 参与者之间的丰度上有显著变化,然后使用平行反应监测实验在肽水平上对其进行分析。我们的研究结果表明,对单个样本进行分馏并使用匹配来增加脑脊液中的蛋白质组学深度具有实用性,以及扩展研究的潜在力量。