Brief Article
Copyright ©2012 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Jan 21, 2012; 18(3): 285-290
Published online Jan 21, 2012. doi: 10.3748/wjg.v18.i3.285
1H NMR-based serum metabolic profiling in compensated and decompensated cirrhosis
Su-Wen Qi, Zhi-Guang Tu, Wu-Jian Peng, Lin-Xian Wang, Xin Ou-Yang, An-Ji Cai, Yong Dai
Su-Wen Qi, Zhi-Guang Tu, Lin-Xian Wang, An-Ji Cai, Yong Dai, Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, Chongqing 410006, China
Wu-Jian Peng, Xin Ou-Yang, Second Clinical Medical College, Jinan University, Guangzhou 510632, Guangdong Province, China
Author contributions: Dai Y and Tu ZG designed research; Qi SW, Ouyang X, Peng WJ and Cai AJ performed research; Wang LX contributed new analytic tools; Qi SW and Ouyang X analyzed data; Qi SW wrote the paper.
Correspondence to: Yong Dai, PhD, MD, Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, No. 1, Medical school Rd, Yuzhong District, Chongqing 410006, China. daiyong22@yahoo.com.cn
Telephone: +86-755-25626750 Fax: +86-755-25626750
Received: April 26, 2011
Revised: June 13, 2011
Accepted: June 20, 2011
Published online: January 21, 2012
Abstract

AIM: To study the metabolic profiling of serum samples from compensated and decompensated cirrhosis patients.

METHODS: A pilot metabolic profiling study was conducted using three groups: compensated cirrhosis patients (n = 30), decompensated cirrhosis patients (n = 30) and healthy controls (n = 30). A 1H nuclear magnetic resonance (NMR)-based metabonomics approach was used to obtain the serum metabolic profiles of the samples. The acquired data were processed by multivariate principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA).

RESULTS: The OPLS-DA model was capable of distinguishing between decompensated and compensated cirrhosis patients, with an R2Y of 0.784 and a Q2Y of 0.598. Twelve metabolites, such as pyruvate, phenylalanine and succinate, were identified as the most influential factors for the difference between the two groups. The validation of the diagnosis prediction showed that the accuracy of the OPLS-DA model was 85% (17/20).

CONCLUSION: 1H NMR spectra combined with pattern recognition analysis techniques offer a new way to diagnose compensated and decompensated cirrhosis in the future.

Keywords: Liver cirrhosis, Metabolic profiling, Orthogonal partial least-squares discriminant analysis