CEMBIO (Center for Metabolomics and Bioanalysis) Facultad de Farmacia, Universidad San Pablo-CEU, Campus Montepríncipe, Boadilla del Monte, 28668 Madrid, Spain.
J Pharm Biomed Anal. 2010 Dec 15;53(5):1298-304. doi: 10.1016/j.jpba.2010.07.034. Epub 2010 Jul 30.
Type 1 diabetes mellitus is a major endocrine disorder, affecting approximately 5% of the world's population. It not only leads to hyperglycaemia but also causes many complications, and numerous studies have demonstrated that oxidative stress contributes to these complications. As a new strategy to improve the oxidative damage in diabetes, interest has grown in the usage of natural antioxidants, even more in the long term. Among them, Rosmarinus officinalis (rosemary) has been widely accepted as one of the species with the highest antioxidant activity. In addition, omega-3 polyunsaturated fatty acids were efficient in delaying and decreasing cardiovascular risk factors associated with diabetes. Type 1 diabetic children and the corresponding controls were enrolled in the assay. The aim was evaluating the effect of a special additive containing rosemary extract, vitamin E and PUFAs added to their standard diet through the meat. In the analytical point of view, a metabolomic approach with CE-UV was used to detect possible differences in urine of diabetic children as compared to controls. After the application of the appropriate multivariate statistical tools, clear differences could be observed between treated and non-treated diabetic children and some of the metabolites associated could be identified. This was specially challenging as most of the clinical biochemical parameters measured by target analysis showed no differences between the groups.
1 型糖尿病是一种主要的内分泌紊乱疾病,影响着全球约 5%的人口。它不仅导致高血糖,还会引起许多并发症,许多研究表明氧化应激是这些并发症的原因之一。作为改善糖尿病氧化损伤的一种新策略,人们对天然抗氧化剂的使用越来越感兴趣,尤其是在长期使用方面。其中,迷迭香(Rosmarinus officinalis)已被广泛认为是抗氧化活性最高的物种之一。此外,ω-3 多不饱和脂肪酸可有效延缓和减少与糖尿病相关的心血管危险因素。研究纳入了 1 型糖尿病儿童及其相应的对照组。目的是评估在标准饮食中添加含迷迭香提取物、维生素 E 和 PUFAs 的特殊添加剂对糖尿病儿童的影响。在分析方面,采用 CE-UV 代谢组学方法检测糖尿病儿童尿液与对照组之间可能存在的差异。在应用适当的多变量统计工具后,可以观察到治疗组和未治疗组糖尿病儿童之间存在明显差异,并可以确定一些相关的代谢物。这是一项特别具有挑战性的工作,因为通过靶向分析测量的大多数临床生化参数在两组之间没有差异。