Literature DB >> 34807207

Identification of novel biomarkers for intracerebral hemorrhage via long noncoding RNA-associated competing endogenous RNA network.

Chunyu Yang1,2, Jiao Wu3, Xi Lu4, Shuang Xiong5, Xiaoxue Xu1.   

Abstract

Intracerebral hemorrhage (ICH) is a leading cause of death and disability worldwide. This study aimed to examine the involvement of long non-coding RNAs (lncRNAs), a group of non-coding transcripts, in ICH as potential biomarkers. An expression profile of patients with ICH using four contralateral grey matter controls (GM) and four contralateral white matter controls (WM) was downloaded from the Gene Expression Omnibus (GEO) database. Co-expressed lncRNAs and mRNAs were selected to create competing endogenous RNA (ceRNA) networks. Key lncRNAs were identified in ceRNA networks, which were validated through Real-time qPCR (RT-qPCR) with peripheral blood samples from patients with ICH. A total of 49 differentially expressed lncRNAs were discovered in different brain regions. The ceRNA network in GM included 9 lncRNAs, 40 mRNAs, and 20 microRNAs (miRNAs), while the one in WM covered 6 lncRNAs, 25 mRNAs, and 14 miRNAs. Six hub lncRNAs were observed and RT-qPCR results showed that LY86-AS1, DLX6-AS1, RRN3P2, and CRNDE were down-regulated, while HCP5 and MIAT were up-regulated in patients with ICH. Receiver Operating Characteristic (ROC) assessments demonstrated the diagnostic value of these lncRNAs. Our findings highlight the potential roles of lncRNA in ICH pathogenesis. Moreover, the hub lncRNAs discovered here might become novel biomarkers and promising targets for ICH drug development.

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Year:  2022        PMID: 34807207     DOI: 10.1039/d1mo00298h

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  1 in total

Review 1.  Genetics and Epigenetics of Spontaneous Intracerebral Hemorrhage.

Authors:  Eva Giralt-Steinhauer; Joan Jiménez-Balado; Isabel Fernández-Pérez; Lucía Rey Álvarez; Ana Rodríguez-Campello; Ángel Ois; Elisa Cuadrado-Godia; Jordi Jiménez-Conde; Jaume Roquer
Journal:  Int J Mol Sci       Date:  2022-06-09       Impact factor: 6.208

  1 in total

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