Nanoengineered therapeutic strategies targeting SNHG1 for mitigating microglial ischemia-reperfusion injury implications for hypoxic-ischemic encephalopathy

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Li Bao , Mingzhi Chen , Biao Dai , Yong Lei , Dani Qin , Mengke Cheng , Wei Song , Wenxia He , Bingyu Chen , Huiping Shen
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引用次数: 0

Abstract

The purpose of this work is to investigate the function of SNHG1, a long non-coding RNA implicated in disease progression, apoptosis, and proliferation, in order to solve the problem of hypoxic-ischemic encephalopathy (HIE) in newborn care. We investigated the impact of overexpressing SNHG1 on hypoxia-induced apoptosis and studied its expression in BV2 microglial cells under hypoxic circumstances. As a result of modifying YY1 expression, SNHG1′s overexpression prevents apoptosis, as our data demonstrate that it is considerably downregulated under hypoxia. We demonstrate that SNHG1 might potentially reduce microglial ischemia-reperfusion damage by using sophisticated nanoengineering drug delivery technologies to target it. This provides encouraging information for the therapy of ischemic epilepsy.

靶向 SNHG1 的纳米工程治疗策略减轻小胶质细胞缺血再灌注损伤对缺氧缺血性脑病的影响
SNHG1是一种与疾病进展、细胞凋亡和增殖有关的长非编码RNA,本研究旨在研究SNHG1的功能,以解决新生儿缺氧缺血性脑病(HIE)的治疗问题。我们研究了过表达 SNHG1 对缺氧诱导的细胞凋亡的影响,并研究了缺氧环境下 SNHG1 在 BV2 小胶质细胞中的表达。由于改变了 YY1 的表达,SNHG1 的过表达可防止细胞凋亡,因为我们的数据表明,在缺氧条件下,SNHG1 的表达会显著下调。我们证明,利用先进的纳米工程给药技术靶向 SNHG1,有可能减轻小胶质细胞缺血再灌注损伤。这为缺血性癫痫的治疗提供了令人鼓舞的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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