Literature DB >> 34468915

Association between lncRNA genetic variants and susceptibility to large artery atherosclerotic stroke.

Lei Du1, Jianhua Ma1, Xiaoning Zhang2.   

Abstract

Studies have already illustrated the role of long non-coding RNAs (lncRNAs) in the progression of atherosclerosis, while the potential role of lncRNA gene variation in susceptibility to large artery atherosclerotic stroke (LAAS) remains controversial. We therefore conducted this study to explore and verify the gene expression modules of LAAS. Differentially expressed genes (DEGs) in atherosclerosis were screened in 3 patients with LAAS, and 3 healthy control patients. A further 31 individuals were used to screen DEGs, and MALAT1, MEG3, or SENCR were identified. Real-time PCR and western blotting were used to assess the difference in DEGs between the atherosclerotic and the non-atherosclerotic artery models. A total of 454 DEGs were detected from the initial screening step, and MALAT1, MEG3, or SENCR were applied to predict the risk of LAAS. The AUC of MALAT1, MEG3, and SENCR in predicting the risk of LAAS was 0.746 (95% CI: 0.398-0.753; P = 0.005), 0.575 (95% CI: 0.398-0.753; P = 0.389), and 0.629 (95% CI: 0.449- .808; P = 0.141), respectively. Moreover, there were significant differences between the atherosclerotic and non-atherosclerotic artery models for the expression of MALAT1, GCNT1, VEGFA, and VCAM-1. This study found that the MALAT1 contributes to LAAS susceptibility, and might play an important role in the progression of LAAS.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Keywords:  Biomarker; Large artery atherosclerotic stroke; Susceptibility

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Year:  2021        PMID: 34468915     DOI: 10.1007/s11011-021-00833-1

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.584


  1 in total

1.  Altered lncRNAs Transcriptomic Profiles in Atherosclerosis-Induced Ischemic Stroke.

Authors:  Wenchen Ruan; Jiayang Wu; Jingjing Su; Yongcheng Jiang; Tao Pang; Jingwei Li
Journal:  Cell Mol Neurobiol       Date:  2020-07-11       Impact factor: 5.046

  1 in total

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