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Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder

BACKGROUND: Major depressive disorder (MDD) is a neuropsychiatric disorder caused by multiple factors. Although there are clear guidelines for the diagnosis of MDD, the direct and objective diagnostic methods remain inadequate thus far. METHODS: This study aims to discover peripheral biomarkers in p...

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Autores principales: Wu, Zhonghao, Yu, Heming, Tian, Yu, Wang, Yue, He, Yong, Lan, Tianlan, Li, Yan, Bai, Mengge, Chen, Xiangyu, Chen, Zhi, Ji, Ping, Zhang, Hongmei, Jin, Xin, Song, Jinlin, Cheng, Ke, Xie, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899025/
https://www.ncbi.nlm.nih.gov/pubmed/35264984
http://dx.doi.org/10.3389/fpsyt.2021.810302
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author Wu, Zhonghao
Yu, Heming
Tian, Yu
Wang, Yue
He, Yong
Lan, Tianlan
Li, Yan
Bai, Mengge
Chen, Xiangyu
Chen, Zhi
Ji, Ping
Zhang, Hongmei
Jin, Xin
Song, Jinlin
Cheng, Ke
Xie, Peng
author_facet Wu, Zhonghao
Yu, Heming
Tian, Yu
Wang, Yue
He, Yong
Lan, Tianlan
Li, Yan
Bai, Mengge
Chen, Xiangyu
Chen, Zhi
Ji, Ping
Zhang, Hongmei
Jin, Xin
Song, Jinlin
Cheng, Ke
Xie, Peng
author_sort Wu, Zhonghao
collection PubMed
description BACKGROUND: Major depressive disorder (MDD) is a neuropsychiatric disorder caused by multiple factors. Although there are clear guidelines for the diagnosis of MDD, the direct and objective diagnostic methods remain inadequate thus far. METHODS: This study aims to discover peripheral biomarkers in patients with MDD and promote the diagnosis of MDD. Plasma samples of healthy controls (HCs, n = 52) and patients with MDD (n = 38) were collected, and then, metabolism analysis was performed using ultrahigh-performance liquid chromatography–tandem mass spectrometry (LC–MS/MS). Heatmap analysis was performed to identify the different metabolites. Meanwhile, receiver operating characteristic (ROC) curves of these differential metabolites were generated. RESULTS: Six differential metabolites were found by LC–MS/MS analysis. Three of these were increased, including L-aspartic acid (Asp), diethanolamine, and alanine. Three were decreased, including O-acetyl-L-carnitine (LAC), cystine, and fumarate. In addition, LAC, Asp, fumarate, and alanine showed large areas under the curve (AUCs) by ROC analysis. CONCLUSION: The study explored differences in peripheral blood between depressed patients and HCs. These results indicated that differential metabolites with large AUCs may have the potential to be promising biomarkers for the diagnosis of MDD.
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spelling pubmed-88990252022-03-08 Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder Wu, Zhonghao Yu, Heming Tian, Yu Wang, Yue He, Yong Lan, Tianlan Li, Yan Bai, Mengge Chen, Xiangyu Chen, Zhi Ji, Ping Zhang, Hongmei Jin, Xin Song, Jinlin Cheng, Ke Xie, Peng Front Psychiatry Psychiatry BACKGROUND: Major depressive disorder (MDD) is a neuropsychiatric disorder caused by multiple factors. Although there are clear guidelines for the diagnosis of MDD, the direct and objective diagnostic methods remain inadequate thus far. METHODS: This study aims to discover peripheral biomarkers in patients with MDD and promote the diagnosis of MDD. Plasma samples of healthy controls (HCs, n = 52) and patients with MDD (n = 38) were collected, and then, metabolism analysis was performed using ultrahigh-performance liquid chromatography–tandem mass spectrometry (LC–MS/MS). Heatmap analysis was performed to identify the different metabolites. Meanwhile, receiver operating characteristic (ROC) curves of these differential metabolites were generated. RESULTS: Six differential metabolites were found by LC–MS/MS analysis. Three of these were increased, including L-aspartic acid (Asp), diethanolamine, and alanine. Three were decreased, including O-acetyl-L-carnitine (LAC), cystine, and fumarate. In addition, LAC, Asp, fumarate, and alanine showed large areas under the curve (AUCs) by ROC analysis. CONCLUSION: The study explored differences in peripheral blood between depressed patients and HCs. These results indicated that differential metabolites with large AUCs may have the potential to be promising biomarkers for the diagnosis of MDD. Frontiers Media S.A. 2022-02-21 /pmc/articles/PMC8899025/ /pubmed/35264984 http://dx.doi.org/10.3389/fpsyt.2021.810302 Text en Copyright © 2022 Wu, Yu, Tian, Wang, He, Lan, Li, Bai, Chen, Chen, Ji, Zhang, Jin, Song, Cheng and Xie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Wu, Zhonghao
Yu, Heming
Tian, Yu
Wang, Yue
He, Yong
Lan, Tianlan
Li, Yan
Bai, Mengge
Chen, Xiangyu
Chen, Zhi
Ji, Ping
Zhang, Hongmei
Jin, Xin
Song, Jinlin
Cheng, Ke
Xie, Peng
Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title_full Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title_fullStr Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title_full_unstemmed Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title_short Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder
title_sort non-targeted metabolomics profiling of plasma samples from patients with major depressive disorder
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8899025/
https://www.ncbi.nlm.nih.gov/pubmed/35264984
http://dx.doi.org/10.3389/fpsyt.2021.810302
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