Ivanisevic Julijana, Thomas Aurelien
Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 19, 1005, Lausanne, Switzerland.
Unit of Toxicology, CURML, CHUV Lausanne University Hospital, HUG Geneva University Hospitals, Vulliette 04, 1000, Lausanne, Switzerland.
Methods Mol Biol. 2018;1730:3-28. doi: 10.1007/978-1-4939-7592-1_1.
Multiple diseases have a strong metabolic component, and metabolomics as a powerful phenotyping technology, in combination with orthogonal biological and clinical approaches, will undoubtedly play a determinant role in accelerating the understanding of mechanisms that underlie these complex diseases determined by a set of genetic, lifestyle, and environmental exposure factors. Here, we provide several examples of valuable findings from metabolomics-led studies in diabetes and obesity metabolism, neurodegenerative disorders, and cancer metabolism and offer a longer term vision toward personalized approach to medicine, from population-based studies to pharmacometabolomics.
多种疾病都有很强的代谢成分,而代谢组学作为一种强大的表型分析技术,与正交生物学和临床方法相结合,无疑将在加速理解由一组遗传、生活方式和环境暴露因素所决定的这些复杂疾病的潜在机制方面发挥决定性作用。在此,我们提供了代谢组学主导的研究在糖尿病和肥胖代谢、神经退行性疾病以及癌症代谢方面的一些有价值发现的例子,并提出了从基于人群的研究到药物代谢组学的个性化医学方法的长远愿景。