Destruxin E Decreases Beta-Amyloid Generation by Reducing Colocalization of Beta-Amyloid-Cleaving Enzyme 1 and Beta-Amyloid Protein Precursor

作者
Naohiro Itoh,Masayasu Okochi,Shinji Tagami,Kouhei Nishitomi,Taisuke Nakayama,Kanta Yanagida,Akio Fukumori,Jingwei Jiang,Kohji Mori,Motoko Hosono,Jyunko Kikuchi,Yuko Nakano,Yoshihiko Takinami,Keiji Dohi,Atsuko Nishigaki,Hiroshi Takemoto,Kazuyuki Minagawa,Takaaki Katoh,Michael Willem,Christian Haass
出处
期刊:Neurodegenerative Diseases [Karger Publishers]
卷期号:6 (5-6): 230-239 被引量:13
标识
DOI:10.1159/000236902
摘要

Alzheimer-disease-associated beta-amyloid (Abeta) is produced by sequential endoproteolysis of beta-amyloid protein precursor (betaAPP): the extracellular portion is shed by cleavage in the juxtamembrane region by beta-amyloid-cleaving enzyme (BACE)/beta-secretase, after which it is cleaved by presenilin (PS)/gamma-secretase near the middle of the transmembrane domain. Thus, inhibition of either of the secretases reduces Abeta generation and is a fundamental strategy for the development of drugs to prevent Alzheimer disease. However, it is not clear how small compounds reduce Abeta production without inhibition of the secretases. Such compounds are expected to avoid some of the side effects of secretase inhibitors. Here, we report that destruxin E (Dx-E), a natural cyclic hexadepsipeptide, reduces Abeta generation without affecting BACE or PS/gamma-secretase activity. In agreement with this, Dx-E did not inhibit Notch signaling. We found that Dx-E decreases colocalization of BACE1 and betaAPP, which reduces beta-cleavage of betaAPP. Therefore, the data demonstrate that Dx-E represents a novel Abeta-reducing process which could have fewer side effects than secretase inhibitors.

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
1秒前
1秒前
烟花应助spartacus采纳,获得10
2秒前
FashionBoy应助Summer采纳,获得10
3秒前
豆子发布了新的文献求助10
3秒前
4秒前
diraczh完成签到,获得积分10
4秒前
6秒前
6秒前
Lee_Ding_95发布了新的文献求助30
6秒前
7秒前
微笑小伙发布了新的文献求助20
8秒前
daxia发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
9秒前
kk完成签到,获得积分10
10秒前
七听发布了新的文献求助80
11秒前
李爱国应助斯文啊斯文采纳,获得20
11秒前
13秒前
14秒前
充电宝应助DDL采纳,获得10
15秒前
15秒前
Tomma发布了新的文献求助10
15秒前
anananyi完成签到 ,获得积分10
15秒前
搜集达人应助镜花水月采纳,获得10
15秒前
跳跳虎发布了新的文献求助10
15秒前
李爱国应助开朗的尔琴采纳,获得10
16秒前
16秒前
17秒前
17秒前
18秒前
阿乾应助悲伤的流泪冬瓜采纳,获得10
19秒前
una完成签到 ,获得积分10
19秒前
田様应助晚风采纳,获得10
20秒前
刘世敏完成签到,获得积分10
21秒前
大聪明发布了新的文献求助10
21秒前
求文献完成签到 ,获得积分10
21秒前
大个应助嘻嘻嘻采纳,获得20
23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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7631551
求助须知:如何正确求助?哪些是违规求助? 9205993
关于积分的说明 19743286
捐赠科研通 7200805
什么是DOI,文献DOI怎么找? 3274614
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271245