Cargando…

Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System

Hepatitis B virus (HBV) is the fatal consequence of chronic hepatitis, and lack of biomarkers has been a long standing bottleneck in the clinical diagnosis. Metabolomics concerns with comprehensive analysis of small molecules and provides a powerful approach to discover biomarkers in biological syst...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Aihua, Sun, Hui, Han, Ying, Yan, Guangli, Wang, Xijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655955/
https://www.ncbi.nlm.nih.gov/pubmed/23696887
http://dx.doi.org/10.1371/journal.pone.0064381
_version_ 1782269956379901952
author Zhang, Aihua
Sun, Hui
Han, Ying
Yan, Guangli
Wang, Xijun
author_facet Zhang, Aihua
Sun, Hui
Han, Ying
Yan, Guangli
Wang, Xijun
author_sort Zhang, Aihua
collection PubMed
description Hepatitis B virus (HBV) is the fatal consequence of chronic hepatitis, and lack of biomarkers has been a long standing bottleneck in the clinical diagnosis. Metabolomics concerns with comprehensive analysis of small molecules and provides a powerful approach to discover biomarkers in biological systems. Here, we present metabolomics analysis applying ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. (UPLC-Q-TOF-HDMS) to determine metabolite alterations in HBV patients. Most important permutations are elaborated using multivariate statistical analysis and network analysis that was used to select the metabolites for the noninvasive diagnosis of HBV. In this study, the total 11 urinary differential metabolites were identified and contributed to HBV progress involving several key metabolic pathways by using pathway analysis with MetPA, which are promising biomarker candidates for diagnostic research. More importantly, of 11 altered metabolites, 4 metabolite markers were effective for the diagnosis of human HBV, achieved a satisfactory accuracy, sensitivity and specificity, respectively. It demonstrates that metabolomics has the potential as a non-invasive tool to evaluate the potential of these metabolites in the early diagnosis of HBV patients. These findings may be promising to yield a valuable insight into the pathophysiology of HBV and to advance the approaches of diagnosis, treatment, and prevention.
format Online
Article
Text
id pubmed-3655955
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36559552013-05-21 Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System Zhang, Aihua Sun, Hui Han, Ying Yan, Guangli Wang, Xijun PLoS One Research Article Hepatitis B virus (HBV) is the fatal consequence of chronic hepatitis, and lack of biomarkers has been a long standing bottleneck in the clinical diagnosis. Metabolomics concerns with comprehensive analysis of small molecules and provides a powerful approach to discover biomarkers in biological systems. Here, we present metabolomics analysis applying ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. (UPLC-Q-TOF-HDMS) to determine metabolite alterations in HBV patients. Most important permutations are elaborated using multivariate statistical analysis and network analysis that was used to select the metabolites for the noninvasive diagnosis of HBV. In this study, the total 11 urinary differential metabolites were identified and contributed to HBV progress involving several key metabolic pathways by using pathway analysis with MetPA, which are promising biomarker candidates for diagnostic research. More importantly, of 11 altered metabolites, 4 metabolite markers were effective for the diagnosis of human HBV, achieved a satisfactory accuracy, sensitivity and specificity, respectively. It demonstrates that metabolomics has the potential as a non-invasive tool to evaluate the potential of these metabolites in the early diagnosis of HBV patients. These findings may be promising to yield a valuable insight into the pathophysiology of HBV and to advance the approaches of diagnosis, treatment, and prevention. Public Library of Science 2013-05-16 /pmc/articles/PMC3655955/ /pubmed/23696887 http://dx.doi.org/10.1371/journal.pone.0064381 Text en © 2013 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Aihua
Sun, Hui
Han, Ying
Yan, Guangli
Wang, Xijun
Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title_full Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title_fullStr Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title_full_unstemmed Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title_short Urinary Metabolic Biomarker and Pathway Study of Hepatitis B Virus Infected Patients Based on UPLC-MS System
title_sort urinary metabolic biomarker and pathway study of hepatitis b virus infected patients based on uplc-ms system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655955/
https://www.ncbi.nlm.nih.gov/pubmed/23696887
http://dx.doi.org/10.1371/journal.pone.0064381
work_keys_str_mv AT zhangaihua urinarymetabolicbiomarkerandpathwaystudyofhepatitisbvirusinfectedpatientsbasedonuplcmssystem
AT sunhui urinarymetabolicbiomarkerandpathwaystudyofhepatitisbvirusinfectedpatientsbasedonuplcmssystem
AT hanying urinarymetabolicbiomarkerandpathwaystudyofhepatitisbvirusinfectedpatientsbasedonuplcmssystem
AT yanguangli urinarymetabolicbiomarkerandpathwaystudyofhepatitisbvirusinfectedpatientsbasedonuplcmssystem
AT wangxijun urinarymetabolicbiomarkerandpathwaystudyofhepatitisbvirusinfectedpatientsbasedonuplcmssystem