Albrecht Benjamin, Voronina Elena, Schipke Carola, Peters Oliver, Parr Maria Kristina, Díaz-Hernández M Dolores, Schlörer Nils E
Department of Chemistry, Universität zu Köln, Greinstr.4, 50939 Köln, Germany.
Charité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Experimental & Clinical Research Center (ECRC), Lindenberger Weg 80, 13125 Berlin, Germany.
Metabolites. 2020 Jun 16;10(6):251. doi: 10.3390/metabo10060251.
NMR-based metabolomics investigations of human biofluids offer great potential to uncover new biomarkers. In contrast to protocols for sample collection and biobanking, procedures for sample preparation prior to NMR measurements are still heterogeneous, thus compromising the comparability of the resulting data. Herein, we present results of an investigation of the handling of cerebrospinal fluid (CSF) samples for NMR metabolomics research. Origins of commonly observed problems when conducting NMR experiments on this type of sample are addressed, and suitable experimental conditions in terms of sample preparation and pH control are discussed. Sample stability was assessed by monitoring the degradation of CSF samples by NMR, hereby identifying metabolite candidates, which are potentially affected by sample storage. A protocol was devised yielding consistent spectroscopic data as well as achieving overall sample stability for robust analysis. We present easy to adopt standard operating procedures with the aim to establish a shared sample handling strategy that facilitates and promotes inter-laboratory comparison, and the analysis of sample degradation provides new insights into sample stability.
基于核磁共振(NMR)的人体生物流体代谢组学研究在发现新生物标志物方面具有巨大潜力。与样本采集和生物样本库的方案不同,NMR测量前的样本制备程序仍然参差不齐,从而影响了所得数据的可比性。在此,我们展示了一项针对用于NMR代谢组学研究的脑脊液(CSF)样本处理的调查结果。探讨了对这类样本进行NMR实验时常见问题的根源,并讨论了在样本制备和pH控制方面合适的实验条件。通过NMR监测CSF样本的降解来评估样本稳定性,从而识别可能受样本储存影响的代谢物候选物。设计了一个方案,既能产生一致的光谱数据,又能实现整体样本稳定性以进行可靠分析。我们提出了易于采用的标准操作程序,旨在建立一种共享的样本处理策略,以促进实验室间的比较,并且对样本降解的分析为样本稳定性提供了新的见解。