Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.

Patients with obstructive sleep apnea (OSA) experience partial or complete upper airway collapses during sleep resulting in nocturnal hypoxia-normoxia cycling, and continuous positive airway pressure (CPAP) is the golden treatment for OSA. Nevertheless, the exact mechanisms of action, especially the...

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Autores principales:	Cheng Fan, Shiyuan Huang, Chunhua Xiang, Tianhui An, Yi Song
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/88b8795bfa6f431ba33ea3105ad534e8
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spelling	oai:doaj.org-article:88b8795bfa6f431ba33ea3105ad534e82021-12-02T20:08:13ZIdentification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.1932-620310.1371/journal.pone.0255708https://doaj.org/article/88b8795bfa6f431ba33ea3105ad534e82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255708https://doaj.org/toc/1932-6203Patients with obstructive sleep apnea (OSA) experience partial or complete upper airway collapses during sleep resulting in nocturnal hypoxia-normoxia cycling, and continuous positive airway pressure (CPAP) is the golden treatment for OSA. Nevertheless, the exact mechanisms of action, especially the transcriptome effect of CPAP on OSA patients, remain elusive. The goal of this study was to evaluate the longitudinal alterations in peripheral blood mononuclear cells transcriptome profiles of OSA patients in order to identify the hub gene and immune response. GSE133601 was downloaded from Gene Expression Omnibus (GEO). We identified black module via weighted gene co-expression network analysis (WGCNA), the genes in which were correlated significantly with the clinical trait of CPAP treatment. Finally, eleven hub genes (TRAV10, SNORA36A, RPL10, OBP2B, IGLV1-40, H2BC8, ESAM, DNASE1L3, CD22, ANK3, ACP3) were traced and used to construct a random forest model to predict therapeutic efficacy of CPAP in OSA with a good performance with AUC of 0.92. We further studied the immune cells infiltration in OSA patients with CIBERSORT, and monocytes were found to be related with the remission of OSA and partially correlated with the hub genes identified. In conclusion, these key genes and immune infiltration may be of great importance in the remission of OSA and related research of these genes may provide a new therapeutic target for OSA in the future.Cheng FanShiyuan HuangChunhua XiangTianhui AnYi SongPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0255708 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cheng Fan Shiyuan Huang Chunhua Xiang Tianhui An Yi Song Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
description	Patients with obstructive sleep apnea (OSA) experience partial or complete upper airway collapses during sleep resulting in nocturnal hypoxia-normoxia cycling, and continuous positive airway pressure (CPAP) is the golden treatment for OSA. Nevertheless, the exact mechanisms of action, especially the transcriptome effect of CPAP on OSA patients, remain elusive. The goal of this study was to evaluate the longitudinal alterations in peripheral blood mononuclear cells transcriptome profiles of OSA patients in order to identify the hub gene and immune response. GSE133601 was downloaded from Gene Expression Omnibus (GEO). We identified black module via weighted gene co-expression network analysis (WGCNA), the genes in which were correlated significantly with the clinical trait of CPAP treatment. Finally, eleven hub genes (TRAV10, SNORA36A, RPL10, OBP2B, IGLV1-40, H2BC8, ESAM, DNASE1L3, CD22, ANK3, ACP3) were traced and used to construct a random forest model to predict therapeutic efficacy of CPAP in OSA with a good performance with AUC of 0.92. We further studied the immune cells infiltration in OSA patients with CIBERSORT, and monocytes were found to be related with the remission of OSA and partially correlated with the hub genes identified. In conclusion, these key genes and immune infiltration may be of great importance in the remission of OSA and related research of these genes may provide a new therapeutic target for OSA in the future.
format	article
author	Cheng Fan Shiyuan Huang Chunhua Xiang Tianhui An Yi Song
author_facet	Cheng Fan Shiyuan Huang Chunhua Xiang Tianhui An Yi Song
author_sort	Cheng Fan
title	Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
title_short	Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
title_full	Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
title_fullStr	Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
title_full_unstemmed	Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.
title_sort	identification of key genes and immune infiltration modulated by cpap in obstructive sleep apnea by integrated bioinformatics analysis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/88b8795bfa6f431ba33ea3105ad534e8
work_keys_str_mv	AT chengfan identificationofkeygenesandimmuneinfiltrationmodulatedbycpapinobstructivesleepapneabyintegratedbioinformaticsanalysis AT shiyuanhuang identificationofkeygenesandimmuneinfiltrationmodulatedbycpapinobstructivesleepapneabyintegratedbioinformaticsanalysis AT chunhuaxiang identificationofkeygenesandimmuneinfiltrationmodulatedbycpapinobstructivesleepapneabyintegratedbioinformaticsanalysis AT tianhuian identificationofkeygenesandimmuneinfiltrationmodulatedbycpapinobstructivesleepapneabyintegratedbioinformaticsanalysis AT yisong identificationofkeygenesandimmuneinfiltrationmodulatedbycpapinobstructivesleepapneabyintegratedbioinformaticsanalysis
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Identification of key genes and immune infiltration modulated by CPAP in obstructive sleep apnea by integrated bioinformatics analysis.

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