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Does urinary metabolite signature act as a biomarker of post-stroke depression?
BACKGROUND: It is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography–mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could signifi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448878/ https://www.ncbi.nlm.nih.gov/pubmed/36090365 http://dx.doi.org/10.3389/fpsyt.2022.928076 |
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author | Cai, Wa Wang, Xia-Fei Wei, Xi-Fang Zhang, Jing-Ruo Hu, Chen Ma, Wen Shen, Wei-Dong |
author_facet | Cai, Wa Wang, Xia-Fei Wei, Xi-Fang Zhang, Jing-Ruo Hu, Chen Ma, Wen Shen, Wei-Dong |
author_sort | Cai, Wa |
collection | PubMed |
description | BACKGROUND: It is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography–mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could significantly discriminate PSD from stroke survivors. METHODS: A systematic review was performed for the keywords of “urinary metabolite” and “PSD” using Medline, Cochrane Library, Embase, Web of Science, PsycINFO, Wanfang, CNKI, CBM, and VIP database from inception to 31 March 2022. RESULTS: Four related studies were included in the review. Differential urinary metabolites including lactic acid, palmitic acid, azelaic acid, and tyrosine were identified in all the included studies. As a significant deviation in the metabolite biomarker panel, glyceric acid, azelaic acid, phenylalanine, palmitic acid, pseudouridine, and tyrosine were found in at least 2 included studies, which indicated good potential for the differentiation of PSD. CONCLUSION: The systematic review provided evidence that differential urinary metabolites analyzed by the GC-MS-based approach might be used as a biomarker for the diagnosis and prognosis of PSD. |
format | Online Article Text |
id | pubmed-9448878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94488782022-09-08 Does urinary metabolite signature act as a biomarker of post-stroke depression? Cai, Wa Wang, Xia-Fei Wei, Xi-Fang Zhang, Jing-Ruo Hu, Chen Ma, Wen Shen, Wei-Dong Front Psychiatry Psychiatry BACKGROUND: It is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography–mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could significantly discriminate PSD from stroke survivors. METHODS: A systematic review was performed for the keywords of “urinary metabolite” and “PSD” using Medline, Cochrane Library, Embase, Web of Science, PsycINFO, Wanfang, CNKI, CBM, and VIP database from inception to 31 March 2022. RESULTS: Four related studies were included in the review. Differential urinary metabolites including lactic acid, palmitic acid, azelaic acid, and tyrosine were identified in all the included studies. As a significant deviation in the metabolite biomarker panel, glyceric acid, azelaic acid, phenylalanine, palmitic acid, pseudouridine, and tyrosine were found in at least 2 included studies, which indicated good potential for the differentiation of PSD. CONCLUSION: The systematic review provided evidence that differential urinary metabolites analyzed by the GC-MS-based approach might be used as a biomarker for the diagnosis and prognosis of PSD. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9448878/ /pubmed/36090365 http://dx.doi.org/10.3389/fpsyt.2022.928076 Text en Copyright © 2022 Cai, Wang, Wei, Zhang, Hu, Ma and Shen. 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 Cai, Wa Wang, Xia-Fei Wei, Xi-Fang Zhang, Jing-Ruo Hu, Chen Ma, Wen Shen, Wei-Dong Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title | Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title_full | Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title_fullStr | Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title_full_unstemmed | Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title_short | Does urinary metabolite signature act as a biomarker of post-stroke depression? |
title_sort | does urinary metabolite signature act as a biomarker of post-stroke depression? |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448878/ https://www.ncbi.nlm.nih.gov/pubmed/36090365 http://dx.doi.org/10.3389/fpsyt.2022.928076 |
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