Transcriptomic Analyses of Exercise Training in Alzheimer’s Disease Cerebral Cortex

下调和上调 ISG15 转录组 神经炎症 大脑皮层 生物 小胶质细胞 神经科学 基因表达 基因 免疫学 炎症 生物化学 泛素
作者
Michael Anekson Widjaya,Yu‐Jung Cheng,Yu‐Min Kuo,Chia-Hsin Liu,Wei‐Chung Cheng,Shin‐Da Lee
出处
期刊:Journal of Alzheimer's Disease [IOS Press]
卷期号:93 (1): 349-363 被引量:1
标识
DOI:10.3233/jad-221139
摘要

Research reported exercise could reduce Alzheimer's disease (AD) symptoms in human and animals. However, the molecular mechanism of exercise training via transcriptomic analysis was unclear especially in AD in the cortex area.Investigate potential significant pathways in the cortex area that were affected by exercise during AD.RNA-seq analysis, differential expressed genes, functional enrichment analysis, and GSOAP clustering analysis were performed in the isolated cerebral cortex from eight 3xTg AD mice (12 weeks old) randomly and equally divided into control (AD) and exercise training (AD-EX) group. Swimming exercise training in AD-EX group was conducted 30 min/day for 1 month.There were 412 genes significant differentially expressed in AD-EX group compared to AD group. Top 10 upregulated genes in AD-EX group against AD group mostly correlated with neuroinflammation, while top 10 downregulated genes mostly had connection with vascularization, membrane transport, learning memory, and chemokine signal. Pathway analysis revealed the upregulated interferon alpha beta signaling in AD-EX had association with cytokines delivery in microglia cells compared to AD and top 10 upregulated genes involved in interferon alpha beta were Usp18, Isg15, Mx1, Mx2, Stat1, Oas1a, and Irf9; The downregulated extracellular matrix organization in AD-EX had correlation with Aβ and neuron cells interaction and Vtn was one of the top 10 downregulated genes involved in this pathway.Exercise training influenced 3xTg mice cortex through interferon alpha beta signaling upregulation and extracellular matrix organization downregulation based on transcriptomics analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助zhuchenglu采纳,获得10
1秒前
微笑煎蛋发布了新的文献求助10
1秒前
桃桃完成签到 ,获得积分10
2秒前
科目三应助傅礼貌采纳,获得10
2秒前
研友_GZ35vL发布了新的文献求助10
2秒前
隐形曼青应助111采纳,获得10
3秒前
执城完成签到,获得积分10
3秒前
Hello应助Felicity采纳,获得10
3秒前
雪菲菲完成签到,获得积分10
3秒前
molihuakai应助courage采纳,获得10
3秒前
Bowen完成签到,获得积分10
5秒前
Ziva完成签到,获得积分10
5秒前
Shirley发布了新的文献求助10
5秒前
5秒前
汉堡包应助skskysky采纳,获得10
5秒前
5秒前
vvcat完成签到,获得积分10
5秒前
6秒前
7秒前
8秒前
wusir完成签到,获得积分20
9秒前
轻松绿旋完成签到,获得积分10
9秒前
英姑应助123采纳,获得10
9秒前
xuan发布了新的文献求助10
10秒前
whuhustwit完成签到,获得积分10
11秒前
简依完成签到,获得积分10
11秒前
Bowen发布了新的文献求助10
11秒前
11秒前
王鹏发布了新的文献求助30
11秒前
ak完成签到,获得积分10
12秒前
12秒前
cchi发布了新的文献求助10
12秒前
称心的谷冬完成签到,获得积分10
12秒前
微笑猎豹应助初景采纳,获得10
12秒前
12秒前
YAOYAO应助Pendulium采纳,获得10
13秒前
大个应助耶稣与梦采纳,获得10
13秒前
在水一方应助鹅糖采纳,获得10
13秒前
洛莫完成签到,获得积分10
14秒前
qx完成签到,获得积分20
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580643
求助须知:如何正确求助?哪些是违规求助? 9160169
关于积分的说明 19598032
捐赠科研通 7163302
什么是DOI,文献DOI怎么找? 3265932
关于科研通互助平台的介绍 2430819
邀请新用户注册赠送积分活动 2256937