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m6A修饰在阿尔茨海默病风险预测及Notch1信号通路中的作用

The role of m6A modification in the risk prediction and Notch1 pathway of Alzheimer's disease.

作者信息

Qiao Yingdan, Mei Yingna, Xia Minqi, Luo Deng, Gao Ling

机构信息

Department of Endocrinology & Metabolism, Renmin Hospital of Wuhan University, Wuhan, P.R. China.

出版信息

iScience. 2024 Jun 8;27(7):110235. doi: 10.1016/j.isci.2024.110235. eCollection 2024 Jul 19.

DOI:10.1016/j.isci.2024.110235
PMID:39040060
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11261416/
Abstract

N6-methyladenosine (m6A) methylation and abnormal immune responses are implicated in neurodegenerative diseases, yet their relationship in Alzheimer's disease (AD) remains unclear. We obtained AD datasets from GEO databases and used AD mouse and cell models, observing abnormal expression of m6A genes in the AD group, alongside disruptions in the immune microenvironment. Key m6A genes (YTHDF2, LRPPRC, and FTO) selected by machine learning were associated with the Notch pathway, with FTO and Notch1 displaying the strongest correlation. Specifically, FTO expression decreased and m6A methylation of Notch1 increased in AD mouse and cell models. We further silenced FTO expression in HT22 cells, resulting in upregulation of the Notch1 signaling pathway. Additionally, increased Notch1 expression in dendritic cells heightened inflammatory cytokine secretion . These results suggest that reduced FTO expression may contribute to the pathogenesis of AD by activating the Notch1 pathway to interfere with the immune response.

摘要

N6-甲基腺苷(m6A)甲基化与异常免疫反应与神经退行性疾病有关,但其在阿尔茨海默病(AD)中的关系仍不清楚。我们从GEO数据库中获取AD数据集,并使用AD小鼠和细胞模型,观察到AD组中m6A基因表达异常,同时免疫微环境也受到破坏。通过机器学习选择的关键m6A基因(YTHDF2、LRPPRC和FTO)与Notch信号通路相关,其中FTO和Notch1的相关性最强。具体而言,在AD小鼠和细胞模型中,FTO表达降低,Notch1的m6A甲基化增加。我们进一步在HT22细胞中沉默FTO表达,导致Notch1信号通路上调。此外,树突状细胞中Notch1表达增加会增强炎性细胞因子的分泌。这些结果表明,FTO表达降低可能通过激活Notch1通路干扰免疫反应,从而促进AD的发病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/cc7ddb5ed1ff/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/0ee6817c7b83/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/4ac1d5328f88/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/66ae38f9e07b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/5f90a82e452d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/5bd33f11ce3f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/47035fda98f0/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/2e080e17dd09/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/2966969d01bd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/f7c09f04ad26/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/18b438d317d4/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/cc7ddb5ed1ff/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/0ee6817c7b83/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/4ac1d5328f88/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/66ae38f9e07b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/5f90a82e452d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/5bd33f11ce3f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/47035fda98f0/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/2e080e17dd09/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/2966969d01bd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/f7c09f04ad26/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/18b438d317d4/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1c3/11261416/cc7ddb5ed1ff/gr10.jpg

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