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Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients

BACKGROUND: Depression is concomitantly presented in Hepatitis B Virus (HBV)-infected patients and decreases these patients’ quality of life. However, there are no laboratory-based methods to objectively diagnose this disorder. OBJECTIVES: The aim of this study was to investigate the alteration of u...

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Autores principales: Hou, Li-Juan, Wang, Hong-Wei, Wei, Xiao-Xia, Duan, Shu-Peng, Zhuo, Ya, Song, Xin-Wen, Shen, Bao-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443390/
https://www.ncbi.nlm.nih.gov/pubmed/26023351
http://dx.doi.org/10.5812/ircmj.17(4)2015.27359
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author Hou, Li-Juan
Wang, Hong-Wei
Wei, Xiao-Xia
Duan, Shu-Peng
Zhuo, Ya
Song, Xin-Wen
Shen, Bao-Sheng
author_facet Hou, Li-Juan
Wang, Hong-Wei
Wei, Xiao-Xia
Duan, Shu-Peng
Zhuo, Ya
Song, Xin-Wen
Shen, Bao-Sheng
author_sort Hou, Li-Juan
collection PubMed
description BACKGROUND: Depression is concomitantly presented in Hepatitis B Virus (HBV)-infected patients and decreases these patients’ quality of life. However, there are no laboratory-based methods to objectively diagnose this disorder. OBJECTIVES: The aim of this study was to investigate the alteration of urinary metabolites in depressed HBV-infected patients. PATIENTS AND METHODS: In this study, 81 depressed HBV-infected patients, 68 non-depressed HBV-infected patients and 64 Healthy Controls (HC) were recruited. A nuclear magnetic resonance (NMR)-based urinary metabonomic method was used to characterize the urinary metabolic profiling of depressed and non-depressed subjects. RESULTS: Seventeen differential urinary metabolites responsible for discriminating depressed HBV-infected patients from non-depressed HBV-infected patients and HC were identified. Among these metabolites, pyruvate, isobutyrate, N-methylnicotinamide, α-hydroxybutyrate, acetoacetate and malonate were identified as potential biomarkers for diagnosing depression in HBV-infected patients. A combined panel of these potential biomarkers could effectively discriminate depressed HBV-infected patients from non-depressed HBV-infected patients and HC, with an average accuracy of 89.6% in the training set and a predictive accuracy of 86.4% in the test set. CONCLUSIONS: These findings suggest that NMR-based urinary metabonomics approach might be a useful tool for the clinical diagnosis of depression in HBV-infected patients and the six potential biomarkers could be helpful for developing an objective diagnostic method. Limited by the number of recruited subjects, future studies are required to validate our conclusions.
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spelling pubmed-44433902015-05-28 Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients Hou, Li-Juan Wang, Hong-Wei Wei, Xiao-Xia Duan, Shu-Peng Zhuo, Ya Song, Xin-Wen Shen, Bao-Sheng Iran Red Crescent Med J Research Article BACKGROUND: Depression is concomitantly presented in Hepatitis B Virus (HBV)-infected patients and decreases these patients’ quality of life. However, there are no laboratory-based methods to objectively diagnose this disorder. OBJECTIVES: The aim of this study was to investigate the alteration of urinary metabolites in depressed HBV-infected patients. PATIENTS AND METHODS: In this study, 81 depressed HBV-infected patients, 68 non-depressed HBV-infected patients and 64 Healthy Controls (HC) were recruited. A nuclear magnetic resonance (NMR)-based urinary metabonomic method was used to characterize the urinary metabolic profiling of depressed and non-depressed subjects. RESULTS: Seventeen differential urinary metabolites responsible for discriminating depressed HBV-infected patients from non-depressed HBV-infected patients and HC were identified. Among these metabolites, pyruvate, isobutyrate, N-methylnicotinamide, α-hydroxybutyrate, acetoacetate and malonate were identified as potential biomarkers for diagnosing depression in HBV-infected patients. A combined panel of these potential biomarkers could effectively discriminate depressed HBV-infected patients from non-depressed HBV-infected patients and HC, with an average accuracy of 89.6% in the training set and a predictive accuracy of 86.4% in the test set. CONCLUSIONS: These findings suggest that NMR-based urinary metabonomics approach might be a useful tool for the clinical diagnosis of depression in HBV-infected patients and the six potential biomarkers could be helpful for developing an objective diagnostic method. Limited by the number of recruited subjects, future studies are required to validate our conclusions. Kowsar 2015-04-25 /pmc/articles/PMC4443390/ /pubmed/26023351 http://dx.doi.org/10.5812/ircmj.17(4)2015.27359 Text en Copyright © 2015, Iranian Red Crescent Medical Journal. http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
spellingShingle Research Article
Hou, Li-Juan
Wang, Hong-Wei
Wei, Xiao-Xia
Duan, Shu-Peng
Zhuo, Ya
Song, Xin-Wen
Shen, Bao-Sheng
Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title_full Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title_fullStr Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title_full_unstemmed Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title_short Urinary Metabonomics for Diagnosis of Depression in Hepatitis B Virus-Infected Patients
title_sort urinary metabonomics for diagnosis of depression in hepatitis b virus-infected patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443390/
https://www.ncbi.nlm.nih.gov/pubmed/26023351
http://dx.doi.org/10.5812/ircmj.17(4)2015.27359
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