da Silva Zandonadi Flávia, Dos Santos Emerson Andrade Ferreira, Marques Mariana Silveira, Sussulini Alessandra
Laboratory of Bioanalytics and Integrated Omics (LaBIOmics), Department of Analytical Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, SP, Brazil.
Instituto Nacional de Ciência e Tecnologia em Bioanalítica - INCTBio, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, SP, Brazil.
Adv Exp Med Biol. 2022;1400:105-119. doi: 10.1007/978-3-030-97182-3_8.
Schizophrenia, as any other psychiatric disorder, is a multifactorial and complex illness whose etiology is not completely established. Therefore, studies involving strategies that are able to describe the molecular alterations caused by the disease and, consequently, indicate the altered metabolic pathways are of increasing interest. Metabolomics is a very suitable approach that can be applied for this task, since it consists of the evaluation of the set of metabolites contained in a biological system undergoing a biological process, such as a disease or treatment. In metabolomics, state-of-the-art analytical techniques (mass spectrometry and nuclear magnetic resonance) are employed to identify and quantify the metabolites present in the studied biological samples, and chemometric and bioinformatic tools are applied to determine the specific metabolites and metabolic pathways that are relevant to the biological process under investigation. The aim of this chapter is to describe the basic principles of metabolomics, how this strategy can improve the understanding of the schizophrenia biology, and the findings obtained so far.
精神分裂症与其他任何精神疾病一样，是一种多因素的复杂疾病，其病因尚未完全明确。因此，涉及能够描述该疾病引起的分子改变并进而指出代谢途径改变的策略的研究越来越受到关注。代谢组学是一种非常适合用于此任务的方法，因为它包括对经历生物过程（如疾病或治疗）的生物系统中所含代谢物集合的评估。在代谢组学中，采用先进的分析技术（质谱和核磁共振）来识别和定量所研究生物样品中存在的代谢物，并应用化学计量学和生物信息学工具来确定与所研究生物过程相关的特定代谢物和代谢途径。本章的目的是描述代谢组学的基本原理、该策略如何增进对精神分裂症生物学的理解以及迄今为止所获得的研究结果。
