Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis

Background End-stage renal disease (ESRD) is the final stage during the development of renal failure. Depression is the most common psychiatric disorder in patients with ESRD, which in turn aggravates the progression of renal failure, however, its underlying mechanism remains unclear. This study aim...

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Autores principales:	Dezhi Yuan, Tian Kuan, Hu Ling, Hongkai Wang, Liping Feng, Qiuye Zhao, Jinfang Li, Jianhua Ran
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	end-stage renal disease depression metabolomics uplc-qtof/ms biomarkers Diseases of the genitourinary system. Urology RC870-923
Acceso en línea:	https://doaj.org/article/028fa696062b499a926a6bca1d8f2c57
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spelling	oai:doaj.org-article:028fa696062b499a926a6bca1d8f2c572021-11-04T15:00:41ZSerum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis0886-022X1525-604910.1080/0886022X.2021.1994995https://doaj.org/article/028fa696062b499a926a6bca1d8f2c572021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/0886022X.2021.1994995https://doaj.org/toc/0886-022Xhttps://doaj.org/toc/1525-6049Background End-stage renal disease (ESRD) is the final stage during the development of renal failure. Depression is the most common psychiatric disorder in patients with ESRD, which in turn aggravates the progression of renal failure, however, its underlying mechanism remains unclear. This study aimed to reveal the pathogenesis and to discover novel peripheral biomarkers for ESRD patients with depression through metabolomic analysis. Methods Ultra-high-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) was used to explore changes of serum metabolites among healthy controls, ESRD patients with or without depression. The differential metabolites between groups were subjected to clustering analysis, pathway analysis, receiver operating characteristic (ROC) curve analysis. Results A total of 57 significant serum differential metabolites were identified between ESRD patients with or without depression, which were involved in 19 metabolic pathways, such as energy metabolism, glycerolipid metabolism, and glutamate-centered metabolism. Moreover, the area under the ROC curve of gentisic acid, uric acid, 5-hydroxytryptamine, 2-phosphoglyceric acid, leucyl-phenylalanine, propenyl carnitine, naloxone, pregnenolone, 6-thioxanthene 5'-monophosphate, hydroxyl ansoprazole, zileuton O-glucuronide, cabergoline, PA(34:2), PG(36:1), probucol and their combination was greater than 0.90. Conclusions Inflammation, oxidative stress and energy metabolism abnormalities, glycerolipid metabolism, and glutamate-centered metabolism are associated with the pathogenesis of ESRD with depression, which may be promising targets for therapy. Furthermore, the identified differential metabolites may serve as biomarkers for the diagnosis of ESRD patients with depression.Dezhi YuanTian KuanHu LingHongkai WangLiping FengQiuye ZhaoJinfang LiJianhua RanTaylor & Francis Grouparticleend-stage renal diseasedepressionmetabolomicsuplc-qtof/msbiomarkersDiseases of the genitourinary system. UrologyRC870-923ENRenal Failure, Vol 43, Iss 1, Pp 1479-1491 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	end-stage renal disease depression metabolomics uplc-qtof/ms biomarkers Diseases of the genitourinary system. Urology RC870-923
spellingShingle	end-stage renal disease depression metabolomics uplc-qtof/ms biomarkers Diseases of the genitourinary system. Urology RC870-923 Dezhi Yuan Tian Kuan Hu Ling Hongkai Wang Liping Feng Qiuye Zhao Jinfang Li Jianhua Ran Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
description	Background End-stage renal disease (ESRD) is the final stage during the development of renal failure. Depression is the most common psychiatric disorder in patients with ESRD, which in turn aggravates the progression of renal failure, however, its underlying mechanism remains unclear. This study aimed to reveal the pathogenesis and to discover novel peripheral biomarkers for ESRD patients with depression through metabolomic analysis. Methods Ultra-high-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) was used to explore changes of serum metabolites among healthy controls, ESRD patients with or without depression. The differential metabolites between groups were subjected to clustering analysis, pathway analysis, receiver operating characteristic (ROC) curve analysis. Results A total of 57 significant serum differential metabolites were identified between ESRD patients with or without depression, which were involved in 19 metabolic pathways, such as energy metabolism, glycerolipid metabolism, and glutamate-centered metabolism. Moreover, the area under the ROC curve of gentisic acid, uric acid, 5-hydroxytryptamine, 2-phosphoglyceric acid, leucyl-phenylalanine, propenyl carnitine, naloxone, pregnenolone, 6-thioxanthene 5'-monophosphate, hydroxyl ansoprazole, zileuton O-glucuronide, cabergoline, PA(34:2), PG(36:1), probucol and their combination was greater than 0.90. Conclusions Inflammation, oxidative stress and energy metabolism abnormalities, glycerolipid metabolism, and glutamate-centered metabolism are associated with the pathogenesis of ESRD with depression, which may be promising targets for therapy. Furthermore, the identified differential metabolites may serve as biomarkers for the diagnosis of ESRD patients with depression.
format	article
author	Dezhi Yuan Tian Kuan Hu Ling Hongkai Wang Liping Feng Qiuye Zhao Jinfang Li Jianhua Ran
author_facet	Dezhi Yuan Tian Kuan Hu Ling Hongkai Wang Liping Feng Qiuye Zhao Jinfang Li Jianhua Ran
author_sort	Dezhi Yuan
title	Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
title_short	Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
title_full	Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
title_fullStr	Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
title_full_unstemmed	Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
title_sort	serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/028fa696062b499a926a6bca1d8f2c57
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Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis

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