Dodangeh Salimeh, Taghizadeh Hananeh, Hosseinkhani Shaghayegh, Khashayar Pouria, Pasalar Parvin, Meybodi Hamid Reza Aghaei, Razi Farideh, Larijani Bagher
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
J Diabetes Metab Disord. 2023 Jul 14;22(2):985-994. doi: 10.1007/s40200-023-01256-8. eCollection 2023 Dec.
The exact underlying mechanism of developing diabetes-related cardiovascular disease (CVD) among patients with type 2 diabetes (T2D) is not clear. Metabolomics can provide a platform enabling the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The aim of this review is to summarize the available evidence on the relationship between metabolomics and cardiovascular diseases in patients with diabetes.
The literature was searched to find out studies that have investigated the relationship between the alteration of specific metabolites and cardiovascular diseases in patients with diabetes.
Evidence proposed that changes in the metabolism of certain amino acids, lipids, and carbohydrates, independent of traditional CVD risk factors, are associated with increased CVD risk.
Metabolomics can provide a platform to enable the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The association of the alteration in specific metabolites with CVD may be considered in the investigations for the development of new therapeutic targets for the prevention of CVD in patients with diabetes mellitus.
2型糖尿病（T2D）患者发生糖尿病相关心血管疾病（CVD）的确切潜在机制尚不清楚。代谢组学可以提供一个平台，用于预测、诊断和理解糖尿病患者发生CVD的风险。本综述的目的是总结关于代谢组学与糖尿病患者心血管疾病之间关系的现有证据。
检索文献，以找出研究特定代谢物改变与糖尿病患者心血管疾病之间关系的研究。
有证据表明，某些氨基酸、脂质和碳水化合物代谢的变化，独立于传统的CVD危险因素，与CVD风险增加有关。
代谢组学可以提供一个平台，用于预测、诊断和理解糖尿病患者发生CVD的风险。在研究开发预防糖尿病患者CVD的新治疗靶点时，可考虑特定代谢物改变与CVD的关联。
