Combination of 1H Nuclear Magnetic Resonance Spectroscopy and Liquid Chromatography/Mass Spectrometry with Pattern Recognition Techniques for Evaluation of Metabolic Profile Associated with

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• 作者：Wai Siang Law^† ; ; Pei Yun Huang^† ; ; Eng Shi Ong^‡ ; ; Sunil Kumar Sethi^§ ; ; Sharon Saw ; Choon Nam Ong*^‡ ;
• 刊名：Journal of Proteome Research
• 出版年：2009
• 出版时间：April 3, 2009
• 年：2009
• 卷：8
• 期：4
• 页码：1828-1837
• 全文大小：220K
• 年卷期：v.8,no.4(April 3, 2009)
• ISSN：1535-3907

文摘

A method using ¹H NMR and LC/MS with pattern recognition tools such as principal component analysis (PCA) and orthogonal projection to latent structure discriminant analysis (O-PLS-DA) was used to study the urinary metabolic profiles associated with an increase in urinary albumin in a general population. The normalized peak intensities obtained from ¹H NMR and LC/MS with nonparametric two-tailed Mann−Whitney analysis was used for the identification of network of potential biomarkers corresponding to the increase of albumin in urine. The specificity of detecting the stated metabolites by ¹H NMR and LC/MS was demonstrated. Our preliminary data obtained demonstrated that LC/MS may produce more distinctive metabolic profiles. For the patient group, changes in alanine, kyneurnic acid, and xanthurenic acid might be associated with changes in the tryptophan metabolism. At the same time, other metabolites that were involved in citric acid cycle, amino acid metabolism, and cellular functions were affected in the patient group. The proposed approach provided a comprehensive picture of the metabolic changes induced by the increase of protein in urine and demonstrated the advantages of using multiple diagnostic biomarkers. At the same time, the current work was demonstrated as a potential cost-effective solution of high-throughput analysis with pattern recognition tools as applied here in a real clinical situation.