Endoplasmic reticulum stress in Alzheimer's disease: Molecular mechanisms and therapeutic prospects

未折叠蛋白反应 内质网 ATF6 细胞生物学 平衡 生物
作者
Pushank Nagar,Prajjwal Sharma,Rishika Dhapola,Sneha Kumari,Bikash Medhi,Dibbanti HariKrishnaReddy
出处
期刊:Life Sciences [Elsevier BV]
卷期号:330: 121983-121983 被引量:38
标识
DOI:10.1016/j.lfs.2023.121983
摘要

Alzheimer's disease (AD) is a progressive neurodegenerative condition that leads to memory loss and cognitive impairment over time. It is characterized by protein misfolding as well as prolonged cellular stress, such as perturbing calcium homeostasis and redox management. Numerous investigations have proven that endoplasmic reticulum failure may exhibit exacerbation of AD pathogenesis in AD patients, in-vivo and in-vitro models. The endoplasmic reticulum (ER) participates in a variety of biological functions including folding of protein, quality control, cholesterol production, and maintenance of calcium balance. A diverse range of physiological, pathological and pharmacological substances can interfere with ER activity and thus lead to exaggeration of ER stress. The unfolded protein response (UPR), an intracellular signaling network is stimulated due to ER stress. Three stress sensors found in the endoplasmic reticulum, the PERK, ATF6, and IRE1 transducers detect protein misfolding in the ER and trigger UPR, a complex system to maintain homeostasis. ER stress is linked to many of the major pathological processes that are seen in AD, including presenilin1 and 2 (PS1 and PS2) gene mutation, tau phosphorylation and β-amyloid formation. The role of ER stress and UPR in the pathophysiology of AD implies that they can be employed as potent therapeutic target. This study shows the relationship between ER and AD and how the pathogenesis of AD is influenced by the impact of ER stress. An effective method for the prevention or treatment of AD may involve therapeutic strategies that modify ER stress pathways.
最长约 10秒,即可获得该文献文件

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
在水一方应助初(*^▽^*)心采纳,获得10
刚刚
忧郁的寻冬完成签到,获得积分10
1秒前
DFS发布了新的文献求助10
2秒前
2秒前
3秒前
shine发布了新的文献求助10
3秒前
ding应助HUANG采纳,获得10
3秒前
ARIA发布了新的文献求助10
4秒前
4秒前
zhangyixin发布了新的文献求助10
4秒前
6秒前
zxl发布了新的文献求助10
7秒前
光亮的万宝路完成签到,获得积分10
7秒前
9秒前
pipi完成签到,获得积分10
9秒前
WD_COMMITS发布了新的文献求助20
9秒前
10秒前
lily完成签到,获得积分10
10秒前
qiu发布了新的文献求助10
10秒前
10秒前
11秒前
田様应助小白采纳,获得10
11秒前
TTSDW完成签到,获得积分10
11秒前
jikang完成签到,获得积分10
11秒前
12秒前
Murphy发布了新的文献求助10
13秒前
13秒前
DFS完成签到,获得积分10
14秒前
合适钥匙完成签到,获得积分10
14秒前
Erick完成签到,获得积分0
14秒前
李红莲发布了新的文献求助20
15秒前
等待乐安完成签到,获得积分20
16秒前
Shaun_noelle发布了新的文献求助10
16秒前
合适钥匙发布了新的文献求助10
16秒前
17秒前
17秒前
JamesPei应助xuzhe采纳,获得10
18秒前
19秒前
19秒前
香蕉以菱发布了新的文献求助10
19秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370995
求助须知:如何正确求助?哪些是违规求助? 8184777
关于积分的说明 17268978
捐赠科研通 5425494
什么是DOI,文献DOI怎么找? 2870274
邀请新用户注册赠送积分活动 1847336
关于科研通互助平台的介绍 1694018