Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis

Jianqi Xiao,1,* Jie Zhang,2,* Dan Sun,3,* Lin Wang,4,* Lijun Yu,5 Hongjing Wu,5 Dan Wang,5 Xuerong Qiu5 1Department of Neurosurgery, The First Hospital of Qiqihar City, Qiqihar, 2Department of Internal Medicine, Central Hospital of Jiamusi City, Jiamusi, 3Department of Geriatrics, General Hospital...

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Autores principales:	Xiao J, Zhang J, Sun D, Wang L, Yu L, Wu H, Wang D, Qiu X
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	post-stroke depression PSD stroke nuclear magnetic resonance NMR metabonomic. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/0d0d92ffab8c4137b8b03ea507ce5552
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spelling	oai:doaj.org-article:0d0d92ffab8c4137b8b03ea507ce55522021-12-02T07:22:29ZDiscriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis1178-2021https://doaj.org/article/0d0d92ffab8c4137b8b03ea507ce55522016-08-01T00:00:00Zhttps://www.dovepress.com/discriminating-poststroke-depression-from-stroke-by-nuclear-magnetic-r-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Jianqi Xiao,1,* Jie Zhang,2,* Dan Sun,3,* Lin Wang,4,* Lijun Yu,5 Hongjing Wu,5 Dan Wang,5 Xuerong Qiu5 1Department of Neurosurgery, The First Hospital of Qiqihar City, Qiqihar, 2Department of Internal Medicine, Central Hospital of Jiamusi City, Jiamusi, 3Department of Geriatrics, General Hospital of Daqing Oil Field, Daqing, 4Department of Nursing, 5Department of Neurology, The First Hospital of Qiqihar City, Qiqihar, Heilongjiang, People’s Republic of China *These authors contributed equally to this work Abstract: Poststroke depression (PSD), the most common psychiatric disease that stroke survivors face, is estimated to affect ~30% of poststroke patients. However, there are still no objective methods to diagnose PSD. In this study, to explore the differential metabolites in the urine of PSD subjects and to identify a potential biomarker panel for PSD diagnosis, the nuclear magnetic resonance-based metabonomic method was applied. Ten differential metabolites responsible for discriminating PSD subjects from healthy control (HC) and stroke subjects were found, and five of these metabolites were identified as potential biomarkers (lactate, α-hydroxybutyrate, phenylalanine, formate, and arabinitol). The panel consisting of these five metabolites provided excellent performance in discriminating PSD subjects from HC and stroke subjects, achieving an area under the receiver operating characteristic curve of 0.946 in the training set (43 HC, 45 stroke, and 62 PSD subjects). Moreover, this panel could classify the blinded samples from the test set (31 HC, 33 stroke, and 32 PSD subjects) with an area under the curve of 0.946. These results laid a foundation for the future development of urine-based objective methods for PSD diagnosis and investigation of PSD pathogenesis. Keywords: poststroke depression, PSD, stroke, nuclear magnetic resonance, NMR, metabonomicXiao JZhang JSun DWang LYu LWu HWang DQiu XDove Medical Pressarticlepost-stroke depressionPSDstrokenuclear magnetic resonanceNMRmetabonomic.Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2016, Iss Issue 1, Pp 1919-1925 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	post-stroke depression PSD stroke nuclear magnetic resonance NMR metabonomic. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	post-stroke depression PSD stroke nuclear magnetic resonance NMR metabonomic. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Xiao J Zhang J Sun D Wang L Yu L Wu H Wang D Qiu X Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
description	Jianqi Xiao,1,* Jie Zhang,2,* Dan Sun,3,* Lin Wang,4,* Lijun Yu,5 Hongjing Wu,5 Dan Wang,5 Xuerong Qiu5 1Department of Neurosurgery, The First Hospital of Qiqihar City, Qiqihar, 2Department of Internal Medicine, Central Hospital of Jiamusi City, Jiamusi, 3Department of Geriatrics, General Hospital of Daqing Oil Field, Daqing, 4Department of Nursing, 5Department of Neurology, The First Hospital of Qiqihar City, Qiqihar, Heilongjiang, People’s Republic of China *These authors contributed equally to this work Abstract: Poststroke depression (PSD), the most common psychiatric disease that stroke survivors face, is estimated to affect ~30% of poststroke patients. However, there are still no objective methods to diagnose PSD. In this study, to explore the differential metabolites in the urine of PSD subjects and to identify a potential biomarker panel for PSD diagnosis, the nuclear magnetic resonance-based metabonomic method was applied. Ten differential metabolites responsible for discriminating PSD subjects from healthy control (HC) and stroke subjects were found, and five of these metabolites were identified as potential biomarkers (lactate, α-hydroxybutyrate, phenylalanine, formate, and arabinitol). The panel consisting of these five metabolites provided excellent performance in discriminating PSD subjects from HC and stroke subjects, achieving an area under the receiver operating characteristic curve of 0.946 in the training set (43 HC, 45 stroke, and 62 PSD subjects). Moreover, this panel could classify the blinded samples from the test set (31 HC, 33 stroke, and 32 PSD subjects) with an area under the curve of 0.946. These results laid a foundation for the future development of urine-based objective methods for PSD diagnosis and investigation of PSD pathogenesis. Keywords: poststroke depression, PSD, stroke, nuclear magnetic resonance, NMR, metabonomic
format	article
author	Xiao J Zhang J Sun D Wang L Yu L Wu H Wang D Qiu X
author_facet	Xiao J Zhang J Sun D Wang L Yu L Wu H Wang D Qiu X
author_sort	Xiao J
title	Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
title_short	Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
title_full	Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
title_fullStr	Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
title_full_unstemmed	Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
title_sort	discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/0d0d92ffab8c4137b8b03ea507ce5552
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Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy-based metabonomic analysis

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