Cargando…

The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis

OBJECTIVE: The lack of the disease biomarker to support objective laboratory tests still constitutes a bottleneck in the clinical diagnosis and evaluation of major depressive disorder (MDD) and its subtypes. We used metabonomic techniques to screen the diagnostic biomarker panels from the plasma of...

Descripción completa

Detalles Bibliográficos
Autores principales: Ding, Xinghua, Yang, Shuguang, Li, Wuju, Liu, Yong, Li, Zhiguo, Zhang, Yan, Li, Lingjiang, Liu, Shaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4037179/
https://www.ncbi.nlm.nih.gov/pubmed/24870353
http://dx.doi.org/10.1371/journal.pone.0097479
_version_ 1782318216903655424
author Ding, Xinghua
Yang, Shuguang
Li, Wuju
Liu, Yong
Li, Zhiguo
Zhang, Yan
Li, Lingjiang
Liu, Shaojun
author_facet Ding, Xinghua
Yang, Shuguang
Li, Wuju
Liu, Yong
Li, Zhiguo
Zhang, Yan
Li, Lingjiang
Liu, Shaojun
author_sort Ding, Xinghua
collection PubMed
description OBJECTIVE: The lack of the disease biomarker to support objective laboratory tests still constitutes a bottleneck in the clinical diagnosis and evaluation of major depressive disorder (MDD) and its subtypes. We used metabonomic techniques to screen the diagnostic biomarker panels from the plasma of MDD patients with and without early life stress (ELS) experience. METHODS: Plasma samples were collected from 25 healthy adults and 46 patients with MDD, including 23 patients with ELS and 23 patients without ELS. Furthermore, gas chromatography/mass spectrometry (GC/MS) coupled with multivariate statistical analysis was used to identify the differences in global plasma metabolites among the 3 groups. RESULTS: The distinctive metabolic profiles exist either between healthy subjects and MDD patients or between the MDD patients with ELS experience (ELS/MDD patients) and the MDD patients without it (non-ELS/MDD patients), and some diagnostic panels of feature metabolites' combination have higher predictive potential than the diagnostic panels of differential metabolites. CONCLUSIONS: These findings in this study have high potential of being used as novel laboratory diagnostic tool for MDD patients and it with ELS or not in clinical application.
format Online
Article
Text
id pubmed-4037179
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-40371792014-06-02 The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis Ding, Xinghua Yang, Shuguang Li, Wuju Liu, Yong Li, Zhiguo Zhang, Yan Li, Lingjiang Liu, Shaojun PLoS One Research Article OBJECTIVE: The lack of the disease biomarker to support objective laboratory tests still constitutes a bottleneck in the clinical diagnosis and evaluation of major depressive disorder (MDD) and its subtypes. We used metabonomic techniques to screen the diagnostic biomarker panels from the plasma of MDD patients with and without early life stress (ELS) experience. METHODS: Plasma samples were collected from 25 healthy adults and 46 patients with MDD, including 23 patients with ELS and 23 patients without ELS. Furthermore, gas chromatography/mass spectrometry (GC/MS) coupled with multivariate statistical analysis was used to identify the differences in global plasma metabolites among the 3 groups. RESULTS: The distinctive metabolic profiles exist either between healthy subjects and MDD patients or between the MDD patients with ELS experience (ELS/MDD patients) and the MDD patients without it (non-ELS/MDD patients), and some diagnostic panels of feature metabolites' combination have higher predictive potential than the diagnostic panels of differential metabolites. CONCLUSIONS: These findings in this study have high potential of being used as novel laboratory diagnostic tool for MDD patients and it with ELS or not in clinical application. Public Library of Science 2014-05-28 /pmc/articles/PMC4037179/ /pubmed/24870353 http://dx.doi.org/10.1371/journal.pone.0097479 Text en © 2014 Ding 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
Ding, Xinghua
Yang, Shuguang
Li, Wuju
Liu, Yong
Li, Zhiguo
Zhang, Yan
Li, Lingjiang
Liu, Shaojun
The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title_full The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title_fullStr The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title_full_unstemmed The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title_short The Potential Biomarker Panels for Identification of Major Depressive Disorder (MDD) Patients with and without Early Life Stress (ELS) by Metabonomic Analysis
title_sort potential biomarker panels for identification of major depressive disorder (mdd) patients with and without early life stress (els) by metabonomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4037179/
https://www.ncbi.nlm.nih.gov/pubmed/24870353
http://dx.doi.org/10.1371/journal.pone.0097479
work_keys_str_mv AT dingxinghua thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT yangshuguang thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liwuju thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liuyong thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT lizhiguo thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT zhangyan thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT lilingjiang thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liushaojun thepotentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT dingxinghua potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT yangshuguang potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liwuju potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liuyong potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT lizhiguo potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT zhangyan potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT lilingjiang potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis
AT liushaojun potentialbiomarkerpanelsforidentificationofmajordepressivedisordermddpatientswithandwithoutearlylifestresselsbymetabonomicanalysis