Filla Laura A, Edwards James L
Saint Louis University Department of Chemistry, 3501 Laclede Ave. St. Louis, MO 63103, USA.
Mol Biosyst. 2016 Apr;12(4):1090-105. doi: 10.1039/c6mb00014b. Epub 2016 Feb 19.
With a global prevalence of 9%, diabetes is the direct cause of millions of deaths each year and is quickly becoming a health crisis. Major long-term complications of diabetes arise from persistent oxidative stress and dysfunction in multiple metabolic pathways. The most serious complications involve vascular damage and include cardiovascular disease as well as microvascular disorders such as nephropathy, neuropathy, and retinopathy. Current clinical analyses like glycated hemoglobin and plasma glucose measurements hold some value as prognostic indicators of the severity of complications, but investigations into the underlying pathophysiology are still lacking. Advancements in biotechnology hold the key to uncovering new pathways and establishing therapeutic targets. Metabolomics, the study of small endogenous molecules, is a powerful toolset for studying pathophysiological processes and has been used to elucidate metabolic signatures of diabetes in various biological systems. Current challenges in the field involve correlating these biomarkers to specific complications to provide a better prediction of future risk and disease progression. This review will highlight the progress that has been made in the field of metabolomics including technological advancements, the identification of potential biomarkers, and metabolic pathways relevant to macro- and microvascular diabetic complications.
糖尿病的全球患病率为9%,是每年数百万人死亡的直接原因,并且正迅速演变成一场健康危机。糖尿病的主要长期并发症源于持续的氧化应激和多种代谢途径的功能障碍。最严重的并发症涉及血管损伤,包括心血管疾病以及诸如肾病、神经病变和视网膜病变等微血管疾病。目前的临床分析,如糖化血红蛋白和血糖测量,作为并发症严重程度的预后指标具有一定价值,但对潜在病理生理学的研究仍然不足。生物技术的进步是揭示新途径和确立治疗靶点的关键。代谢组学是对内源性小分子的研究,是研究病理生理过程的强大工具集,已被用于阐明各种生物系统中糖尿病的代谢特征。该领域目前面临的挑战包括将这些生物标志物与特定并发症相关联,以便更好地预测未来风险和疾病进展。本综述将重点介绍代谢组学领域取得的进展,包括技术进步、潜在生物标志物的识别以及与糖尿病大血管和微血管并发症相关的代谢途径。