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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 32 Issue 1
Jan.  2016
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Article Contents

Analysis of specific metabolite profiling of minimal hepatic encephalopathy based on metabolomics analytical platforms of GC-TOFMS and UPLC-QTOFMS

DOI: 10.3969/j.issn.1001-5256.2016.01.027
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  • Received Date: 2015-05-28
  • Published Date: 2016-01-20
  • Objective To analyze and compare the serum metabolite profiling of healthy volunteers and patients with minimal hepatic encephalopathy( MHE),identify the specific biomarkers of MHE,and explore the method for early diagnosis of MHE. Methods Twenty-nine patients with MHE caused by hepatitis B cirrhosis who were admitted to First Affiliated Hospital of Guangxi University of Chinese Medicine( MHE group) from October 2013 to October 2014,as well as 50 healthy volunteers who received physical examinations in this hospital( NC group) during the same period,were collected. Gas chromatography and time- of- flight mass spectrometry( GC- TOFMS) and ultra- high- pressure liquid chromatography- quadrupole- time- of- flight mass spectrometry( UPLC- QTOFMS) were applied to determine the metabolites in serum samples. Principal component analysis( PCA) and orthogonal partial least squares- discriminant analysis( OPLS-DA) were applied for multivariate statistical analysis,and univariate t test was applied for comparison between the two groups,so as to determine the biomarkers for MHE. Results In combination of the modeling analysis with PCA and OPLS- DA,the results from univariate t test,and vasoactive intestinal peptide( VIP) value in the models,a total of 27 possible specific biomarkers for MHE were found in serum in the two groups. According to the fold change between MHE group and NC group in OPLS- DA model,there were 9 down- regulated metabolites and 18 up- regulated metabolites in the patients with MHE compared with healthy volunteers. Conclusion Serum metabolomics analytical platforms such as GC- TOFMS and UPLC- QTOFMS can detect a variety of metabolites in serum,which can be of help to explore the pathogenesis of MHE. In addition,the diagnostic model OPLS- DA established in this study can differentiate between the normal population and patients with MHE,which may be applied for early diagnosis of MHE.

     

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