AIM: The aims of the present study were to depict the serum metabolic characteristics of hepatitis B virus (HBV)-infected cirrhosis and alcoholic cirrhosis patients, and to find the specific serum biomarkers associated with the diseases. METHODS: A pilot metabolic profiling study was conducted using three groups: HBV-infected cirrhosis patients (n = 21), alcoholic cirrhosis patients (n = 20) and healthy controls (n = 20). (1) H nuclear magnetic resonance (NMR)-based metabonomics was used to obtain the serum metabolic profiles of the samples. The acquired data were processed by multivariate principal component analysis (PCA) and orthogonal partial least-squares-discriminant analysis (OPLS-DA). The discriminatory metabolites between HBV-infected cirrhosis and alcoholic cirrhosis were further validated by classical biochemical assays. RESULTS: The OPLS-DA model was capable of distinguishing between HBV-infected and alcoholic cirrhosis patients. Five metabolites, creatine, acetoacetate, isobutyrate, glutamine and glutamate, were identified as the most influential factors to compare HBV-infected cirrhosis and alcoholic cirrhosis. The validation tests showed that the changes of the five metabolites were well coincident with the results of NMR. CONCLUSION: NMR spectra combined with pattern recognition analysis techniques may provide a new way to explore the pathogenesis of HBV-infected and alcoholic cirrhosis patients.
AIM: The aims of the present study were to depict the serum metabolic characteristics of hepatitis B virus (HBV)-infected cirrhosis and alcoholic cirrhosispatients, and to find the specific serum biomarkers associated with the diseases. METHODS: A pilot metabolic profiling study was conducted using three groups: HBV-infected cirrhosispatients (n = 21), alcoholic cirrhosispatients (n = 20) and healthy controls (n = 20). (1) H nuclear magnetic resonance (NMR)-based metabonomics was used to obtain the serum metabolic profiles of the samples. The acquired data were processed by multivariate principal component analysis (PCA) and orthogonal partial least-squares-discriminant analysis (OPLS-DA). The discriminatory metabolites between HBV-infected cirrhosis and alcoholic cirrhosis were further validated by classical biochemical assays. RESULTS: The OPLS-DA model was capable of distinguishing between HBV-infected and alcoholic cirrhosispatients. Five metabolites, creatine, acetoacetate, isobutyrate, glutamine and glutamate, were identified as the most influential factors to compare HBV-infected cirrhosis and alcoholic cirrhosis. The validation tests showed that the changes of the five metabolites were well coincident with the results of NMR. CONCLUSION: NMR spectra combined with pattern recognition analysis techniques may provide a new way to explore the pathogenesis of HBV-infected and alcoholic cirrhosispatients.
Authors: Laurence Le Moyec; Mohamed N Triba; Pierre Nahon; Nadia Bouchemal; Edith Hantz; Corentine Goossens; Roland Amathieu; Philippe Savarin Journal: Biomed Rep Date: 2017-03-03
Authors: Roland Amathieu; Mohamed N Triba; Pierre Nahon; Nadia Bouchemal; Walid Kamoun; Hakim Haouache; Jean-Claude Trinchet; Philippe Savarin; Laurence Le Moyec; Gilles Dhonneur Journal: PLoS One Date: 2014-02-19 Impact factor: 3.240