Bioinformatics analysis to reveal the key genes related to obstructive sleep apnea.

Gu, Xiandong; Yang, Wei; Luo, Xuming; Wang, Xiongbiao; Tang, Jihong; Cai, Zhuying

Gu, Xiandong; Yang, Wei; Luo, Xuming; Wang, Xiongbiao; Tang, Jihong; Cai, Zhuying.

Afiliación

Gu X; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China.
Yang W; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China.
Luo X; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China.
Wang X; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China.
Tang J; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China.
Cai Z; Department of Respiratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, No.164, LanXi Road, Shanghai, 200063, China. czy224cai@yeah.net.

Sleep Breath ; 23(1): 259-267, 2019 Mar.

Article en En | MEDLINE | ID: mdl-29992456

RESUMEN

PURPOSE: Obstructive sleep apnea (OSA) is induced by obstruction of the upper airway, which can raise multiple health risks. This study is designed to reveal the key genes involved in OSA. METHODS: GSE38792 was extracted from Gene Expression Omnibus database, including ten visceral adipose tissues from OSA patients and eight visceral adipose tissues from normal controls. Differential expression analysis was conducted using limma package, and then the functions of the differentially expressed genes (DEGs) were analyzed using DAVID database, followed by protein-protein interaction (PPI) network, and integrated regulatory network analysis was performed using Cytoscape software. RESULTS: A total of 368 DEGs (176 upregulated and 192 downregulated) were identified in OSA samples. Epstein-Barr virus infection (involving IL10RB, MAPK9, and MAPK10) and olfactory transduction were the main pathways separately enriched for the upregulated genes and the downregulated genes. After the PPI network was built, the top ten network nodes (such as TXN) were selected according to node degrees. Two significant PPI network modules were identified. Moreover, the integrated regulatory network was constructed. CONCLUSION: IL10RB, MAPK9, MAPK10, and TXN might function in the pathogenesis of OSA.

Asunto(s)

Biología Computacional; Apnea Obstructiva del Sueño/genética; Tejido Adiposo/metabolismo; Regulación hacia Abajo/genética; Infecciones por Virus de Epstein-Barr/genética; Perfilación de la Expresión Génica; Redes Reguladoras de Genes/genética; Humanos; Subunidad beta del Receptor de Interleucina-10/genética; Proteína Quinasa 10 Activada por Mitógenos/genética; Proteína Quinasa 9 Activada por Mitógenos/genética; Análisis de Secuencia por Matrices de Oligonucleótidos; Dominios y Motivos de Interacción de Proteínas/genética; Valores de Referencia; Tiorredoxinas/genética; Regulación hacia Arriba/genética

Palabras clave

Differentially expressed genes; Enrichment analysis; Integrated regulatory network; Obstructive sleep apnea; Protein-protein interaction network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Apnea Obstructiva del Sueño Límite: Humans Idioma: En Revista: Sleep Breath Asunto de la revista: NEUROLOGIA / OTORRINOLARINGOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania

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