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Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt-sensitive hypertension.
Zhang, Ling; Qi, Han; Liu, Zheng; Peng, Wen-Juan; Cao, Han; Guo, Chun-Yue; Sun, Yan-Yan; Pao, Christine; Xiang, Yu-Tao.
Afiliação
  • Zhang L; Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
  • Qi H; The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders & the Advanced Innovation Center for Human Brain Protection, Beijing Anding Hospital, School of Mental Health, Capital Medical University, Beijing, China.
  • Liu Z; Science Department, Peking University People's Hospital, Beijing, China.
  • Peng WJ; Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
  • Cao H; Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
  • Guo CY; Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
  • Sun YY; Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
  • Pao C; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Xiang YT; Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, China.
J Cell Mol Med ; 24(13): 7254-7265, 2020 07.
Article em En | MEDLINE | ID: mdl-32410228
ABSTRACT
Salt-sensitive hypertension (SSH) is an independent risk factor for cardiovascular disease. The regulation of long non-coding RNAs, mRNAs and competing endogenous RNAs (ceRNAs) in the pathogenesis of SSH is uncertain. An RNA microarray was performed to discover SSH-associated differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs), and 296 DElncRNAs and 44 DEmRNAs were identified, and 247 DElncRNAs and 44 DEmRNAs among these RNAs were included in the coexpression network. The coregulatory network included 23 ceRNA loops, and six hub RNAs (lnc-ILK-81, lnc-OTX1-71, lnc-RCAN1-61, GIMAP8, SUV420H1 and PIGV) were identified for further population validation. The ceRNA correlations among lnc-OTX1-71, hsa-miR-361-5p and GIMAP8 were confirmed in SSH and SRH patients. A larger-sample validation confirmed that GIMAP8, SUV420H1 and PIGV were differentially expressed between the SSH and SRH groups. In addition, SUV420H1 was included in the SSH screening model, and the area under the curve of the model was 0.720 (95% CI 0.624-0.816). Our study explored the transcriptome profiles of SSH and constructed a ceRNA network to help elucidate the mechanism of SSH. In addition, SUV420H1 was identified as a hub element that participates in SSH transcriptional regulation and as a potential biomarker for the early diagnosis of SSH.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Cloreto de Sódio na Dieta / Redes Reguladoras de Genes / Hipertensão Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Cloreto de Sódio na Dieta / Redes Reguladoras de Genes / Hipertensão Idioma: En Ano de publicação: 2020 Tipo de documento: Article