Atzori Luigi, Mussap Michele, Noto Antonio, Barberini Luigi, Puddu Melania, Coni Elisabetta, Murgia Federica, Lussu Milena, Fanos Vassilios
Department of Toxicology, Oncology and Molecular Pathology Unit, University of Cagliari, Italy.
J Matern Fetal Neonatal Med. 2011 Oct;24 Suppl 2:40-3. doi: 10.3109/14767058.2011.606678.
Clinical metabolomics is a recent "omic" technology which is defined as a global holistic overview of the personal metabolic status (fingerprinting). This technique allows to prove metabolic differences in different groups of people with the opportunity to explore interactions such as genotype-phenotype and genotype-environment type, whether normal or pathological.
To study chronic kidney injury 1) using urine metabolomic profiles of young adults born extremely low-birth weight (ELBW) and 2) correlating a biomarker of kidney injury, urinary neutrophil gelatinase-associated lipocalin (NGAL), in order to confirm the metabolomic injury profile.
Urine samples were collected from a group of 18 people (mean: 24-year-old, std: 4.27) who were born with ELBW and a group of 13 who were born at term appropriate for gestational age (AGA) as control (mean 25-year-old, std: 5.15). Urine samples were analyzed by (1)H-nuclear magnetic resonance spectroscopy, and then submitted to unsupervised and supervised multivariate analysis. Urine NGAL (uNGAL) was measured using ARCHITECT (ABBOTT diagnostic NGAL kit).
With a multivariate approach and using a supervised analysis method, PLS-DA, (partial least squares discriminant analysis) we could correlate ELBW metabolic profiles with uNGAL concentration. Conversely, uNGAL could not be correlated to AGA.
This study demonstrates the relevance of the metabolomic technique as a predictive tool of the metabolic status of exELBW. This was confirmed by the use of uNGAL as a biomarker which may predict a subclinical pathological process in the kidney such as chronic kidney disease.
临床代谢组学是一项新兴的“组学”技术，它被定义为对个人代谢状态的全面整体概述（指纹识别）。这项技术能够证实不同人群之间的代谢差异，并有机会探索诸如基因型-表型和基因型-环境类型等相互作用，无论其是正常还是病理状态。
1）利用极低出生体重（ELBW）的年轻成年人的尿液代谢组学图谱研究慢性肾损伤，2）将肾损伤生物标志物尿中性粒细胞明胶酶相关脂质运载蛋白（NGAL）进行关联，以确认代谢组学损伤图谱。
从一组18名出生时为ELBW的人群（平均年龄：24岁，标准差：4.27）和一组13名足月适于胎龄（AGA）作为对照的人群（平均年龄25岁，标准差：5.15）中收集尿液样本。尿液样本通过氢核磁共振波谱分析，然后进行无监督和有监督的多变量分析。使用ARCHITECT（雅培诊断NGAL试剂盒）测量尿液NGAL（uNGAL）。
采用多变量方法并使用有监督分析方法偏最小二乘判别分析（PLS-DA），我们能够将ELBW代谢图谱与uNGAL浓度相关联。相反，uNGAL与AGA不相关。
本研究证明了代谢组学技术作为预测极低出生体重儿代谢状态的工具的相关性。使用uNGAL作为生物标志物证实了这一点，它可能预测肾脏中的亚临床病理过程，如慢性肾病。
