Cargando…
Urinary metabolite signature in bipolar disorder patients during depressive episode
The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to ide...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382435/ https://www.ncbi.nlm.nih.gov/pubmed/30721880 http://dx.doi.org/10.18632/aging.101805 |
_version_ | 1783396671848185856 |
---|---|
author | Chen, Jian-jun Xie, Jing Zeng, Li Zhou, Chan-juan Zheng, Peng Xie, Peng |
author_facet | Chen, Jian-jun Xie, Jing Zeng, Li Zhou, Chan-juan Zheng, Peng Xie, Peng |
author_sort | Chen, Jian-jun |
collection | PubMed |
description | The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to identify potential biomarkers for young and middle-aged BD patients during depressive episode. Both gas chromatography-mass spectroscopy (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy were used to profile the urine samples from the recruited subjects. In total, 13 differential metabolites responsible for the discrimination between healthy controls (HCs) and patients were identified. Most differential metabolites had a close relationship with energy homeostasis. Meanwhile, a panel consisting of five differential metabolites was identified. This panel could effectively distinguish the patients from HCs with an AUC of 0.998 in the training set and 0.974 in the testing set. Our findings on one hand could be helpful in developing an objective diagnostic method for young and middle-aged BD patients during depressive episode; on the other hand could provide critical insight into the pathological mechanism of BD and the biological mechanisms responsible for the transformation of different episodes. |
format | Online Article Text |
id | pubmed-6382435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-63824352019-02-27 Urinary metabolite signature in bipolar disorder patients during depressive episode Chen, Jian-jun Xie, Jing Zeng, Li Zhou, Chan-juan Zheng, Peng Xie, Peng Aging (Albany NY) Research Paper The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to identify potential biomarkers for young and middle-aged BD patients during depressive episode. Both gas chromatography-mass spectroscopy (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy were used to profile the urine samples from the recruited subjects. In total, 13 differential metabolites responsible for the discrimination between healthy controls (HCs) and patients were identified. Most differential metabolites had a close relationship with energy homeostasis. Meanwhile, a panel consisting of five differential metabolites was identified. This panel could effectively distinguish the patients from HCs with an AUC of 0.998 in the training set and 0.974 in the testing set. Our findings on one hand could be helpful in developing an objective diagnostic method for young and middle-aged BD patients during depressive episode; on the other hand could provide critical insight into the pathological mechanism of BD and the biological mechanisms responsible for the transformation of different episodes. Impact Journals 2019-02-05 /pmc/articles/PMC6382435/ /pubmed/30721880 http://dx.doi.org/10.18632/aging.101805 Text en Copyright: © 2019 Chen et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Chen, Jian-jun Xie, Jing Zeng, Li Zhou, Chan-juan Zheng, Peng Xie, Peng Urinary metabolite signature in bipolar disorder patients during depressive episode |
title | Urinary metabolite signature in bipolar disorder patients during depressive episode |
title_full | Urinary metabolite signature in bipolar disorder patients during depressive episode |
title_fullStr | Urinary metabolite signature in bipolar disorder patients during depressive episode |
title_full_unstemmed | Urinary metabolite signature in bipolar disorder patients during depressive episode |
title_short | Urinary metabolite signature in bipolar disorder patients during depressive episode |
title_sort | urinary metabolite signature in bipolar disorder patients during depressive episode |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382435/ https://www.ncbi.nlm.nih.gov/pubmed/30721880 http://dx.doi.org/10.18632/aging.101805 |
work_keys_str_mv | AT chenjianjun urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode AT xiejing urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode AT zengli urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode AT zhouchanjuan urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode AT zhengpeng urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode AT xiepeng urinarymetabolitesignatureinbipolardisorderpatientsduringdepressiveepisode |