Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics

Jing Xie,1,* Yu Han,2,* Yueling Hong,3,* Wen-wen Li,4 Qilin Pei,3 Xueyi Zhou,4 Bingbing Zhang,5 Ying Wang6 1Chongqing Emergency Medical Center, Department of Endocrinology and Nephrology, The Fourth People’s Hospital of Chongqing, Central Hospital of Chongqing University, Chongqing 400014,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xie J, Han Y, Hong Y, Li W, Pei Q, Zhou X, Zhang B, Wang Y
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	post-stroke depression biomarkers metabolites. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/7ece89766814488280ba98002de936ed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7ece89766814488280ba98002de936ed
record_format	dspace
spelling	oai:doaj.org-article:7ece89766814488280ba98002de936ed2021-12-02T10:32:13ZIdentification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics1178-2021https://doaj.org/article/7ece89766814488280ba98002de936ed2020-08-01T00:00:00Zhttps://www.dovepress.com/identification-of-potential-metabolite-markers-for-middle-aged-patient-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Jing Xie,1,* Yu Han,2,* Yueling Hong,3,* Wen-wen Li,4 Qilin Pei,3 Xueyi Zhou,4 Bingbing Zhang,5 Ying Wang6 1Chongqing Emergency Medical Center, Department of Endocrinology and Nephrology, The Fourth People’s Hospital of Chongqing, Central Hospital of Chongqing University, Chongqing 400014, People’s Republic of China; 2Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, People’s Republic of China; 3Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, People’s Republic of China; 4Department of Pathology, Faculty of Basic Medicine, Chongqing Medical University, Chongqing 400016, People’s Republic of China; 5Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, People’s Republic of China; 6Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Wang; Bingbing Zhang Email wangyingtgf@163.com; zbb@cqu.edu.cnBackground: Post-stroke depression (PSD) is one of the most common complications in stroke survivors. But, there are still no objective methods to diagnose PSD. This study aims to identify potential biomarkers for diagnosing PSD in middle-aged stroke survivors.Methods: Middle-aged subjects aged 30 to 59 years (92 PSD patients and 89 stroke survivors without depression) were included in this study. Urinary metabolites were detected by gas chromatography-mass spectrometry (GC-MS). Differential urinary metabolites and potential biomarkers were screened by applying statistical analysis.Results: The different urinary metabolic phenotypes between PSD patients and stroke survivors without depression were identified. A total of 12 differential urinary metabolites were accurately identified by using orthogonal partial least-squares-discriminant analysis. After analyzing those 12 differential urinary metabolites by step-wise logistic regression analysis, only seven metabolites (palmitic acid, hydroxylamine, myristic acid, glyceric acid, lactic acid, tyrosine and azelaic acid) were finally selected as potential biomarkers for diagnosing PSD in middle-aged stroke survivors. A panel consisting of these potential biomarkers could effectively diagnose middle-aged PSD patients.Conclusion: Urinary metabolic profiles were different between middle-aged PSD patients and stroke survivors without depression. Our results would be helpful in future for developing an objective method to diagnose PSD in middle-aged stroke survivors.Keywords: post-stroke depression, biomarkers, metabolitesXie JHan YHong YLi WPei QZhou XZhang BWang YDove Medical Pressarticlepost-stroke depressionbiomarkersmetabolites.Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 16, Pp 2017-2024 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	post-stroke depression biomarkers metabolites. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	post-stroke depression biomarkers metabolites. Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Xie J Han Y Hong Y Li W Pei Q Zhou X Zhang B Wang Y Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
description	Jing Xie,1,* Yu Han,2,* Yueling Hong,3,* Wen-wen Li,4 Qilin Pei,3 Xueyi Zhou,4 Bingbing Zhang,5 Ying Wang6 1Chongqing Emergency Medical Center, Department of Endocrinology and Nephrology, The Fourth People’s Hospital of Chongqing, Central Hospital of Chongqing University, Chongqing 400014, People’s Republic of China; 2Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, People’s Republic of China; 3Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, People’s Republic of China; 4Department of Pathology, Faculty of Basic Medicine, Chongqing Medical University, Chongqing 400016, People’s Republic of China; 5Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, People’s Republic of China; 6Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Wang; Bingbing Zhang Email wangyingtgf@163.com; zbb@cqu.edu.cnBackground: Post-stroke depression (PSD) is one of the most common complications in stroke survivors. But, there are still no objective methods to diagnose PSD. This study aims to identify potential biomarkers for diagnosing PSD in middle-aged stroke survivors.Methods: Middle-aged subjects aged 30 to 59 years (92 PSD patients and 89 stroke survivors without depression) were included in this study. Urinary metabolites were detected by gas chromatography-mass spectrometry (GC-MS). Differential urinary metabolites and potential biomarkers were screened by applying statistical analysis.Results: The different urinary metabolic phenotypes between PSD patients and stroke survivors without depression were identified. A total of 12 differential urinary metabolites were accurately identified by using orthogonal partial least-squares-discriminant analysis. After analyzing those 12 differential urinary metabolites by step-wise logistic regression analysis, only seven metabolites (palmitic acid, hydroxylamine, myristic acid, glyceric acid, lactic acid, tyrosine and azelaic acid) were finally selected as potential biomarkers for diagnosing PSD in middle-aged stroke survivors. A panel consisting of these potential biomarkers could effectively diagnose middle-aged PSD patients.Conclusion: Urinary metabolic profiles were different between middle-aged PSD patients and stroke survivors without depression. Our results would be helpful in future for developing an objective method to diagnose PSD in middle-aged stroke survivors.Keywords: post-stroke depression, biomarkers, metabolites
format	article
author	Xie J Han Y Hong Y Li W Pei Q Zhou X Zhang B Wang Y
author_facet	Xie J Han Y Hong Y Li W Pei Q Zhou X Zhang B Wang Y
author_sort	Xie J
title	Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
title_short	Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
title_full	Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
title_fullStr	Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
title_full_unstemmed	Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics
title_sort	identification of potential metabolite markers for middle-aged patients with post-stroke depression using urine metabolomics
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/7ece89766814488280ba98002de936ed
work_keys_str_mv	AT xiej identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT hany identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT hongy identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT liw identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT peiq identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT zhoux identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT zhangb identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics AT wangy identificationofpotentialmetabolitemarkersformiddleagedpatientswithpoststrokedepressionusingurinemetabolomics
_version_	1718397061947195392

Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics

Ejemplares similares