Bioactivated Glucoraphanin Improves Cell Survival, Upregulating Phospho-AKT, and Modulates Genes Involved in DNA Repair in an In Vitro Alzheimer's Disease Model: A Network-Transcriptomic Analysis

生物活性萝卜硫素通过上调磷酸化AKT并调节DNA修复相关基因,在体外阿尔茨海默病模型中改善细胞存活:一项网络转录组学分析

阅读:1
作者:Aurelio Minuti ,Emanuela Mazzon ,Renato Iori ,Luigi Chiricosta ,Osvaldo Artimagnella

Abstract

Background/objectives: Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, for which a definitive cure is still missing. Recently, natural compounds have been investigated for their possible neuroprotective role, including the bioactivated product of glucoraphanin (GRA), the sulforaphane (SFN), which is highly rich in cruciferous vegetables. It is known that SFN alleviates neuronal dysfunction, apoptosis, and oxidative stress in the brain. In the light of this evidence, the aim of this study was to investigate the molecular effects of SFN pre-treatment in differentiated SH-SY5Y neurons exposed to β-amyloid (Aβ). Methods: To this end, we first evaluated first cell viability via the Thiazolyl Blue Tetrazolium Bromide (MTT) assay, and then we analyzed the transcriptomic profiles by next-generation sequencing (NGS). Finally, we used a network analysis in order to understand which biological processes are affected, validating them by Western blot assay. Results: SFN pre-treatment counteracted Aβ-induced loss of cell viability. The network-transcriptomic analysis revealed that SFN upregulates genes associated with DNA repair, such as ABRAXAS1, BRCA1, BRCA2, CDKN1A, FANCA, FANCD2, FANCE, NBN, and XPC. Finally, SFN also increased the phosphorylation of AKT, which is associated with DNA repair and cell survival. Conclusions: These data suggest that SFN is a natural compound that could be suitable in the prevention of AD, thanks to its neuroprotective role in increasing cell survival, potentially restoring DNA damage induced by Aβ exposure. Keywords: Alzheimer’s disease; DNA repair; cell survival; glucoraphanin; isothiocyanate; sulforaphane; transcriptomic analysis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。