Pontes João G M, Brasil Antonio J M, Cruz Guilherme C F, de Souza Rafael N, Tasic Ljubica
Chemical Biology Laboratory, Institute of Chemistry, Organic Chemistry Department, State University of Campinas, P. O. Box 6154, 13083-970, Campinas, SP, Brazil.
Methods Mol Biol. 2017;1546:275-282. doi: 10.1007/978-1-4939-6730-8_24.
Nuclear magnetic resonance (NMR) spectroscopy techniques allow the acquisition of a large amount of data and when combined with multivariate statistical analysis, it is possible to process and interpret the obtained NMR data in accordance with the biological problem being investigated. In this chapter, the search for biologically relevant biomarkers is addressed using NMR spectroscopy-based metabolomics, due to their clinical relevance for either diagnosis or monitoring of diseases and disorders.
核磁共振（NMR）光谱技术能够获取大量数据，并且当与多元统计分析相结合时，就有可能根据所研究的生物学问题来处理和解释所获得的NMR数据。在本章中，鉴于基于NMR光谱的代谢组学在疾病诊断或监测方面的临床相关性，将探讨寻找具有生物学相关性的生物标志物的问题。
