Chowdhury Shamiha, Faheem Sultan Mohammed, Nawaz Shaik Sarfaraz, Siddiqui Khalid
School of Life Sciences, Manipal Academy of Higher Education Dubai Campus, Academic City, Dubai, UAE.
Strategic Center for Diabetes Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Per Med. 2021 Sep;18(5):501-508. doi: 10.2217/pme-2021-0083. Epub 2021 Aug 18.
Metabolomics is rapidly evolving omics technology in personalized medicine, it offers a new avenue for identification of multiple novel metabolic mediators of impaired glucose tolerance and dysglycemia. Liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry and nuclear magnetic resonance spectroscopy are most commonly used analytical methods in the field of metabolomics. Recent evidences showed that metabolomic profiles are link to the incidence of diabetes. In this review, an overview of metabolomics studies in diabetes revealed several diabetes-associated metabolites including 1,5-anhydroglycitol, branch chain amino acids, glucose, α-hydroxybutyric acid, 3-hydroundecanoyl-carnitine and phosphatidylcholine that could be potential biomarkers associated with diabetes. These identified metabolites can be used to develop personalized prognostics and diagnostic, and help in diabetes management.
代谢组学是个性化医疗中迅速发展的组学技术，它为识别糖耐量受损和血糖异常的多种新型代谢介质提供了一条新途径。液相色谱-质谱联用、气相色谱-质谱联用和核磁共振光谱法是代谢组学领域最常用的分析方法。最近的证据表明，代谢组学特征与糖尿病的发病率有关。在本综述中，对糖尿病代谢组学研究的概述揭示了几种与糖尿病相关的代谢物，包括1,5-脱水葡萄糖醇、支链氨基酸、葡萄糖、α-羟基丁酸、3-羟基十一烷酰肉碱和磷脂酰胆碱，它们可能是与糖尿病相关的潜在生物标志物。这些已鉴定的代谢物可用于开发个性化的预后和诊断方法，并有助于糖尿病的管理。
