Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
Department of Data Science & Biostatistics, Julius Global Health, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Genes (Basel). 2023 Jul 18;14(7):1464. doi: 10.3390/genes14071464.
The spectrum of information related to precision medicine in diabetes generally includes clinical data, genetics, and omics-based biomarkers that can guide personalized decisions on diabetes care. Given the remarkable progress in patient risk characterization, there is particular interest in using molecular biomarkers to guide diabetes management. Metabolomics is an emerging molecular approach that helps better understand the etiology and promises the identification of novel biomarkers for complex diseases. Both targeted or untargeted metabolites extracted from cells, biofluids, or tissues can be investigated by established high-throughput platforms, like nuclear magnetic resonance (NMR) and mass spectrometry (MS) techniques. Metabolomics is proposed as a valuable tool in precision diabetes medicine to discover biomarkers for diagnosis, prognosis, and management of the progress of diabetes through personalized phenotyping and individualized drug-response monitoring. This review offers an overview of metabolomics knowledge as potential biomarkers in type 2 diabetes mellitus (T2D) diagnosis and the response to glucose-lowering medications.
与精准医学糖尿病相关的信息范围通常包括临床数据、遗传学和基于组学的生物标志物,这些都可以指导糖尿病护理的个性化决策。鉴于患者风险特征描述方面的显著进展,人们特别关注使用分子生物标志物来指导糖尿病管理。代谢组学是一种新兴的分子方法,可以帮助更好地了解病因,并有望为复杂疾病确定新的生物标志物。可以通过已建立的高通量平台(如核磁共振(NMR)和质谱(MS)技术)研究从细胞、生物流体或组织中提取的靶向或非靶向代谢物。代谢组学被提议作为精准糖尿病医学中的一种有价值的工具,通过个性化表型和个体化药物反应监测,发现用于诊断、预后和糖尿病进展管理的生物标志物。本文综述了代谢组学作为 2 型糖尿病(T2D)诊断和对降血糖药物反应的潜在生物标志物的相关知识。