Department of Medicine, Stable Isotope and Metabolomics Core Facility, Albert Einstein College of Medicine Diabetes Center, Bronx, New York 10461, USA.
Ann N Y Acad Sci. 2013 May;1287(1):1-16. doi: 10.1111/nyas.12116. Epub 2013 May 9.
Diabesity has become a popular term to describe the specific form of diabetes that develops late in life and is associated with obesity. While there is a correlation between diabetes and obesity, the association is not universally predictive. Defining the metabolic characteristics of obesity that lead to diabetes, and how obese individuals who develop diabetes different from those who do not, are important goals. The use of large-scale omics analyses (e.g., metabolomic, proteomic, transcriptomic, and lipidomic) of diabetes and obesity may help to identify new targets to treat these conditions. This report discusses how various types of omics data can be integrated to shed light on the changes in metabolism that occur in obesity and diabetes.
糖尿病肥胖症已成为一个流行术语，用于描述发生在生命后期且与肥胖相关的特定类型的糖尿病。虽然糖尿病和肥胖之间存在关联，但这种关联并非普遍具有预测性。定义导致糖尿病的肥胖代谢特征，以及肥胖患者发生糖尿病的方式与不发生糖尿病的患者有何不同，是重要目标。对糖尿病和肥胖症进行大规模组学分析（例如代谢组学、蛋白质组学、转录组学和脂质组学）的应用，可能有助于确定治疗这些疾病的新靶点。本报告讨论了如何整合各种类型的组学数据，以阐明肥胖和糖尿病中发生的代谢变化。
