Application of combined omics platforms to accelerate biomedical discovery in diabesity
Application of combined omics platforms to accelerate biomedical discovery in diabesity
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DOI：
10.1111/nyas.12116
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发表时间：
2013-01-01
期刊：
影响因子：
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通讯作者：
Gross, Steven S.
中科院分区：
文献类型：
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作者：
Kurland, Irwin J.;Accili, Domenico;Gross, Steven S.
糖尿病已成为一个流行术语，用于描述在生命后期发生并与肥胖相关的特定形式的糖尿病。虽然糖尿病和肥胖之间存在相关性，但这种关联并不具有普遍的预测性。确定导致糖尿病的肥胖的代谢特征，以及患有糖尿病的肥胖个体与未患糖尿病的肥胖个体有何不同，是重要的目标。使用大规模组学分析（例如，代谢组学、蛋白质组学、转录组学和脂质组学）的研究可能有助于鉴定治疗这些病症的新靶点。本报告讨论了如何整合各种类型的组学数据，以揭示肥胖和糖尿病中发生的代谢变化。
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.