Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy

Abstract The aim of the study was to investigate differences in metabolic profiles between patients with major depressive disorder (MDD) with full remission (FR) and healthy controls (HCs). A total of 119 age-matched MDD patients with FR (n = 47) and HCs (n = 72) were enrolled and randomly split int...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ching-I. Hung, Gigin Lin, Meng-Han Chiang, Chih-Yung Chiu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bbeb86ffd5f448dbaa719b725dbcb7e8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:bbeb86ffd5f448dbaa719b725dbcb7e8
record_format	dspace
spelling	oai:doaj.org-article:bbeb86ffd5f448dbaa719b725dbcb7e82021-12-02T17:06:09ZMetabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy10.1038/s41598-021-95221-12045-2322https://doaj.org/article/bbeb86ffd5f448dbaa719b725dbcb7e82021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95221-1https://doaj.org/toc/2045-2322Abstract The aim of the study was to investigate differences in metabolic profiles between patients with major depressive disorder (MDD) with full remission (FR) and healthy controls (HCs). A total of 119 age-matched MDD patients with FR (n = 47) and HCs (n = 72) were enrolled and randomly split into training and testing sets. A 1H-nuclear magnetic resonance (NMR) spectroscopy-based metabolomics approach was used to identify differences in expressions of plasma metabolite biomarkers. Eight metabolites, including histidine, succinic acid, proline, acetic acid, creatine, glutamine, glycine, and pyruvic acid, were significantly differentially-expressed in the MDD patients with FR in comparison with the HCs. Metabolic pathway analysis revealed that pyruvate metabolism via the tricarboxylic acid cycle linked to amino acid metabolism was significantly associated with the MDD patients with FR. An algorithm based on these metabolites employing a linear support vector machine differentiated the MDD patients with FR from the HCs with a predictive accuracy, sensitivity, and specificity of nearly 0.85. A metabolomics-based approach could effectively differentiate MDD patients with FR from HCs. Metabolomic signatures might exist long-term in MDD patients, with metabolic impacts on physical health even in patients with FR.Ching-I. HungGigin LinMeng-Han ChiangChih-Yung ChiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ching-I. Hung Gigin Lin Meng-Han Chiang Chih-Yung Chiu Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
description	Abstract The aim of the study was to investigate differences in metabolic profiles between patients with major depressive disorder (MDD) with full remission (FR) and healthy controls (HCs). A total of 119 age-matched MDD patients with FR (n = 47) and HCs (n = 72) were enrolled and randomly split into training and testing sets. A 1H-nuclear magnetic resonance (NMR) spectroscopy-based metabolomics approach was used to identify differences in expressions of plasma metabolite biomarkers. Eight metabolites, including histidine, succinic acid, proline, acetic acid, creatine, glutamine, glycine, and pyruvic acid, were significantly differentially-expressed in the MDD patients with FR in comparison with the HCs. Metabolic pathway analysis revealed that pyruvate metabolism via the tricarboxylic acid cycle linked to amino acid metabolism was significantly associated with the MDD patients with FR. An algorithm based on these metabolites employing a linear support vector machine differentiated the MDD patients with FR from the HCs with a predictive accuracy, sensitivity, and specificity of nearly 0.85. A metabolomics-based approach could effectively differentiate MDD patients with FR from HCs. Metabolomic signatures might exist long-term in MDD patients, with metabolic impacts on physical health even in patients with FR.
format	article
author	Ching-I. Hung Gigin Lin Meng-Han Chiang Chih-Yung Chiu
author_facet	Ching-I. Hung Gigin Lin Meng-Han Chiang Chih-Yung Chiu
author_sort	Ching-I. Hung
title	Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
title_short	Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
title_full	Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
title_fullStr	Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
title_full_unstemmed	Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy
title_sort	metabolomics-based discrimination of patients with remitted depression from healthy controls using 1h-nmr spectroscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bbeb86ffd5f448dbaa719b725dbcb7e8
work_keys_str_mv	AT chingihung metabolomicsbaseddiscriminationofpatientswithremitteddepressionfromhealthycontrolsusing1hnmrspectroscopy AT giginlin metabolomicsbaseddiscriminationofpatientswithremitteddepressionfromhealthycontrolsusing1hnmrspectroscopy AT menghanchiang metabolomicsbaseddiscriminationofpatientswithremitteddepressionfromhealthycontrolsusing1hnmrspectroscopy AT chihyungchiu metabolomicsbaseddiscriminationofpatientswithremitteddepressionfromhealthycontrolsusing1hnmrspectroscopy
_version_	1718381753573310464

Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy

Ejemplares similares