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Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression
BACKGROUND: Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing el...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007561/ https://www.ncbi.nlm.nih.gov/pubmed/33790561 http://dx.doi.org/10.2147/NDT.S299835 |
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author | Chen, Jin Lv, Yan-ni Li, Xiao-bing Xiong, Jia-jun Liang, Hui-ting Xie, Liang Wan, Chen-yi Chen, Yun-qing Wang, Han-sen Liu, Pan zheng, He-qing |
author_facet | Chen, Jin Lv, Yan-ni Li, Xiao-bing Xiong, Jia-jun Liang, Hui-ting Xie, Liang Wan, Chen-yi Chen, Yun-qing Wang, Han-sen Liu, Pan zheng, He-qing |
author_sort | Chen, Jin |
collection | PubMed |
description | BACKGROUND: Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing elderly PSD subjects. METHODS: Elderly (60 years or older) stroke survivors with depression were assigned into the PSD group, and elderly stroke survivors without depression and elderly healthy controls (HCs) were assigned into the non-depressed group. Urinary metabolite signatures obtained from gas chromatography-mass spectrometry (GC-MS)-based metabolomic platform were collected. Both univariate and multivariate statistical analysis were used to find the differential urinary metabolites between the two groups. RESULTS: The 78 elderly HCs, 122 elderly stroke survivors without depression and 124 elderly PSD subjects were included. A set of 13 differential urinary metabolites responsible for distinguishing PSD subjects from non-depressed subjects were found. The Phenylalanine, tyrosine and tryptophan biosynthesis, Phenylalanine metabolism and Galactose metabolism were found to be significantly changed in elderly PSD subjects. The phenylalanine was significantly negatively correlated with age and depressive symptoms. Meanwhile, a biomarker panel consisting of 3-hydroxyphenylacetic acid, tyrosine, phenylalanine, sucrose, palmitic acid, glyceric acid, azelaic acid and α-aminobutyric acid was identified. CONCLUSION: These results provided candidate molecules for developing objective methods to diagnose depression in elderly stroke survivors, suggested that taking supplements of phenylalanine might be an effective method to prevent depression in elderly stroke survivors, and would be helpful for future revealing the pathophysiological mechanism of PSD. |
format | Online Article Text |
id | pubmed-8007561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-80075612021-03-30 Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression Chen, Jin Lv, Yan-ni Li, Xiao-bing Xiong, Jia-jun Liang, Hui-ting Xie, Liang Wan, Chen-yi Chen, Yun-qing Wang, Han-sen Liu, Pan zheng, He-qing Neuropsychiatr Dis Treat Original Research BACKGROUND: Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing elderly PSD subjects. METHODS: Elderly (60 years or older) stroke survivors with depression were assigned into the PSD group, and elderly stroke survivors without depression and elderly healthy controls (HCs) were assigned into the non-depressed group. Urinary metabolite signatures obtained from gas chromatography-mass spectrometry (GC-MS)-based metabolomic platform were collected. Both univariate and multivariate statistical analysis were used to find the differential urinary metabolites between the two groups. RESULTS: The 78 elderly HCs, 122 elderly stroke survivors without depression and 124 elderly PSD subjects were included. A set of 13 differential urinary metabolites responsible for distinguishing PSD subjects from non-depressed subjects were found. The Phenylalanine, tyrosine and tryptophan biosynthesis, Phenylalanine metabolism and Galactose metabolism were found to be significantly changed in elderly PSD subjects. The phenylalanine was significantly negatively correlated with age and depressive symptoms. Meanwhile, a biomarker panel consisting of 3-hydroxyphenylacetic acid, tyrosine, phenylalanine, sucrose, palmitic acid, glyceric acid, azelaic acid and α-aminobutyric acid was identified. CONCLUSION: These results provided candidate molecules for developing objective methods to diagnose depression in elderly stroke survivors, suggested that taking supplements of phenylalanine might be an effective method to prevent depression in elderly stroke survivors, and would be helpful for future revealing the pathophysiological mechanism of PSD. Dove 2021-03-25 /pmc/articles/PMC8007561/ /pubmed/33790561 http://dx.doi.org/10.2147/NDT.S299835 Text en © 2021 Chen et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Chen, Jin Lv, Yan-ni Li, Xiao-bing Xiong, Jia-jun Liang, Hui-ting Xie, Liang Wan, Chen-yi Chen, Yun-qing Wang, Han-sen Liu, Pan zheng, He-qing Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title | Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title_full | Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title_fullStr | Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title_full_unstemmed | Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title_short | Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression |
title_sort | urinary metabolite signatures for predicting elderly stroke survivors with depression |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007561/ https://www.ncbi.nlm.nih.gov/pubmed/33790561 http://dx.doi.org/10.2147/NDT.S299835 |
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