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Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness
Excessive daytime sleepiness (EDS) is associated with quality of life and all-cause mortality in the end-stage renal disease population. This study aims to identify biomarkers and reveal the underlying mechanisms of EDS in peritoneal dialysis (PD) patients. A total of 48 nondiabetic continuous ambul...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116928/ https://www.ncbi.nlm.nih.gov/pubmed/37051665 http://dx.doi.org/10.1080/0886022X.2023.2190815 |
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author | Chen, Wei Xu, Ying Li, Zheng-Hao Si, Ya-Chen Wang, Hai-Yan Bian, Xiao-Lu Li, Lu Guo, Zhi-Yong Lai, Xue-Li |
author_facet | Chen, Wei Xu, Ying Li, Zheng-Hao Si, Ya-Chen Wang, Hai-Yan Bian, Xiao-Lu Li, Lu Guo, Zhi-Yong Lai, Xue-Li |
author_sort | Chen, Wei |
collection | PubMed |
description | Excessive daytime sleepiness (EDS) is associated with quality of life and all-cause mortality in the end-stage renal disease population. This study aims to identify biomarkers and reveal the underlying mechanisms of EDS in peritoneal dialysis (PD) patients. A total of 48 nondiabetic continuous ambulatory peritoneal dialysis patients were assigned to the EDS group and the non-EDS group according to the Epworth Sleepiness Scale (ESS). Ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) was used to identify the differential metabolites. Twenty-seven (male/female, 15/12; age, 60.1 ± 16.2 years) PD patients with ESS ≥ 10 were assigned to the EDS group, while twenty-one (male/female, 13/8; age, 57.9 ± 10.1 years) PD patients with ESS < 10 were defined as the non-EDS group. With UHPLC-Q-TOF/MS, 39 metabolites with significant differences between the two groups were found, 9 of which had good correlations with disease severity and were further classified into amino acid, lipid and organic acid metabolism. A total of 103 overlapping target proteins of the differential metabolites and EDS were found. Then, the EDS–metabolite–target network and the protein–protein interaction network were constructed. The metabolomics approach integrated with network pharmacology provides new insights into the early diagnosis and mechanisms of EDS in PD patients. |
format | Online Article Text |
id | pubmed-10116928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-101169282023-04-21 Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness Chen, Wei Xu, Ying Li, Zheng-Hao Si, Ya-Chen Wang, Hai-Yan Bian, Xiao-Lu Li, Lu Guo, Zhi-Yong Lai, Xue-Li Ren Fail Clinical Study Excessive daytime sleepiness (EDS) is associated with quality of life and all-cause mortality in the end-stage renal disease population. This study aims to identify biomarkers and reveal the underlying mechanisms of EDS in peritoneal dialysis (PD) patients. A total of 48 nondiabetic continuous ambulatory peritoneal dialysis patients were assigned to the EDS group and the non-EDS group according to the Epworth Sleepiness Scale (ESS). Ultra-high-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) was used to identify the differential metabolites. Twenty-seven (male/female, 15/12; age, 60.1 ± 16.2 years) PD patients with ESS ≥ 10 were assigned to the EDS group, while twenty-one (male/female, 13/8; age, 57.9 ± 10.1 years) PD patients with ESS < 10 were defined as the non-EDS group. With UHPLC-Q-TOF/MS, 39 metabolites with significant differences between the two groups were found, 9 of which had good correlations with disease severity and were further classified into amino acid, lipid and organic acid metabolism. A total of 103 overlapping target proteins of the differential metabolites and EDS were found. Then, the EDS–metabolite–target network and the protein–protein interaction network were constructed. The metabolomics approach integrated with network pharmacology provides new insights into the early diagnosis and mechanisms of EDS in PD patients. Taylor & Francis 2023-04-12 /pmc/articles/PMC10116928/ /pubmed/37051665 http://dx.doi.org/10.1080/0886022X.2023.2190815 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Clinical Study Chen, Wei Xu, Ying Li, Zheng-Hao Si, Ya-Chen Wang, Hai-Yan Bian, Xiao-Lu Li, Lu Guo, Zhi-Yong Lai, Xue-Li Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title | Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title_full | Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title_fullStr | Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title_full_unstemmed | Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title_short | Serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
title_sort | serum metabolic alterations in peritoneal dialysis patients with excessive daytime sleepiness |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116928/ https://www.ncbi.nlm.nih.gov/pubmed/37051665 http://dx.doi.org/10.1080/0886022X.2023.2190815 |
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