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Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers

Few clinical studies have explored altered urinary metabolite levels in patients with obstructive sleep apnea (OSA). Thus, we applied a metabolomics approach to analyze urinary metabolites in three groups of participants: patients with polysomnography (PSG)-confirmed OSA, simple snorers (SS), and no...

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Autores principales: Xu, Huajun, Zheng, Xiaojiao, Qian, Yingjun, Guan, Jian, Yi, Hongliang, Zou, Jianyin, Wang, Yuyu, Meng, Lili, Zhao, Aihua, Yin, Shankai, Jia, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969608/
https://www.ncbi.nlm.nih.gov/pubmed/27480913
http://dx.doi.org/10.1038/srep30958
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author Xu, Huajun
Zheng, Xiaojiao
Qian, Yingjun
Guan, Jian
Yi, Hongliang
Zou, Jianyin
Wang, Yuyu
Meng, Lili
Zhao, Aihua
Yin, Shankai
Jia, Wei
author_facet Xu, Huajun
Zheng, Xiaojiao
Qian, Yingjun
Guan, Jian
Yi, Hongliang
Zou, Jianyin
Wang, Yuyu
Meng, Lili
Zhao, Aihua
Yin, Shankai
Jia, Wei
author_sort Xu, Huajun
collection PubMed
description Few clinical studies have explored altered urinary metabolite levels in patients with obstructive sleep apnea (OSA). Thus, we applied a metabolomics approach to analyze urinary metabolites in three groups of participants: patients with polysomnography (PSG)-confirmed OSA, simple snorers (SS), and normal subjects. Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry were used. A total of 21 and 31 metabolites were differentially expressed in the SS and OSA groups, respectively. Patients with OSA had 18 metabolites different from those with SS. Of the 56 metabolites detected among the 3 groups, 24 were consistently higher or lower. A receiver operator curve analysis revealed that the combination of 4-hydroxypentenoic acid, arabinose, glycochenodeoxycholate-3-sulfate, isoleucine, serine, and xanthine produced a moderate diagnostic score with a sensitivity (specificity) of 75% (78%) for distinguishing OSA from those without OSA. The combination of 4-hydroxypentenoic acid, 5-dihydrotestosterone sulfate, serine, spermine, and xanthine distinguished OSA from SS with a sensitivity of 85% and specificity of 80%. Multiple metabolites and metabolic pathways associated with SS and OSA were identified using the metabolomics approach, and the altered metabolite signatures could potentially serve as an alternative diagnostic method to PSG.
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spelling pubmed-49696082016-08-11 Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers Xu, Huajun Zheng, Xiaojiao Qian, Yingjun Guan, Jian Yi, Hongliang Zou, Jianyin Wang, Yuyu Meng, Lili Zhao, Aihua Yin, Shankai Jia, Wei Sci Rep Article Few clinical studies have explored altered urinary metabolite levels in patients with obstructive sleep apnea (OSA). Thus, we applied a metabolomics approach to analyze urinary metabolites in three groups of participants: patients with polysomnography (PSG)-confirmed OSA, simple snorers (SS), and normal subjects. Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry were used. A total of 21 and 31 metabolites were differentially expressed in the SS and OSA groups, respectively. Patients with OSA had 18 metabolites different from those with SS. Of the 56 metabolites detected among the 3 groups, 24 were consistently higher or lower. A receiver operator curve analysis revealed that the combination of 4-hydroxypentenoic acid, arabinose, glycochenodeoxycholate-3-sulfate, isoleucine, serine, and xanthine produced a moderate diagnostic score with a sensitivity (specificity) of 75% (78%) for distinguishing OSA from those without OSA. The combination of 4-hydroxypentenoic acid, 5-dihydrotestosterone sulfate, serine, spermine, and xanthine distinguished OSA from SS with a sensitivity of 85% and specificity of 80%. Multiple metabolites and metabolic pathways associated with SS and OSA were identified using the metabolomics approach, and the altered metabolite signatures could potentially serve as an alternative diagnostic method to PSG. Nature Publishing Group 2016-08-02 /pmc/articles/PMC4969608/ /pubmed/27480913 http://dx.doi.org/10.1038/srep30958 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Xu, Huajun
Zheng, Xiaojiao
Qian, Yingjun
Guan, Jian
Yi, Hongliang
Zou, Jianyin
Wang, Yuyu
Meng, Lili
Zhao, Aihua
Yin, Shankai
Jia, Wei
Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title_full Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title_fullStr Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title_full_unstemmed Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title_short Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers
title_sort metabolomics profiling for obstructive sleep apnea and simple snorers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969608/
https://www.ncbi.nlm.nih.gov/pubmed/27480913
http://dx.doi.org/10.1038/srep30958
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