Apoptosis and Alzheimer's Disease

疾病 阿尔茨海默病 细胞凋亡 神经科学 生物 医学 病理 遗传学
作者
George Perry,Akihiko Nunomura,Paul J. Lucassen,Hans Lassmann,Mark A. Smith
出处
期刊:Science [American Association for the Advancement of Science]
卷期号:282 (5392): 1265-1265 被引量:114
标识
DOI:10.1126/science.282.5392.1265h
摘要

An article by Marcia Barinaga (Special Section, News, 28 Aug., p. [1303][1]) in the recent issue devoted to apoptosis presents the case for apoptotic neuronal death in Alzheimer's disease (AD) based on culture studies and histological analyses. We strongly disagree that this evidence supports widespread apoptosis in AD. Apoptosis requires only 16 to 24 hours for completion and, therefore, in a chronic disease like AD with an average duration of almost 10 years, less than one in about 4000 cells should be undergoing apoptosis at any given time (that is, observation of apoptotic events should be rare) ([1][2]). Indeed, if all the neurons reported with DNA cleavage were undergoing apoptosis, the brain would rapidly be stripped of neurons. This is certainly not the case in AD. ![Figure][3] Do neurons in a brain from an Alzheimer's patient (dotlike staining pattern) indicate cells undergoing apoptosis?CREDIT: CARL COTMAN, JOSEPH SU, AND CHRISTIAN PIKE Perhaps the greatest source of misunderstanding is that the criteria used for apoptosis have relied primarily on DNA fragmentation, where even the laddering pattern of fragmentation is not apoptosis-specific because histones protect DNA from a variety of insults, including those of necrosis and oxidative damage. When the more rigorous standard of nuclear condensation is examined, few neurons show apoptosis in AD. In fact, that we can observe neurons displaying many of the features of apoptosis argues that neurons in AD have mounted an effective defense to apoptotic death rather than that they are succumbing. The presence of a wide array of apoptotic markers is more likely indicative of an avoidance of apoptosis rather than actual completion of apoptosis. That neuronal cell death in AD occurs over a lengthy period suggests distinct mechanisms from the classical apoptotic process. 1. [↵][4]1. G. Perry, 2. A. Nunomura, 3. M. A. Smith , Nature Med. 4, 897 (1998). [OpenUrl][5][CrossRef][6][PubMed][7][Web of Science][8] [1]: /lookup/doi/10.1126/science.281.5381.1303 [2]: #ref-1 [3]: pending:yes [4]: #xref-ref-1-1 View reference 1 in text [5]: {openurl}?query=rft.jtitle%253DNature%2Bmedicine%26rft.stitle%253DNat%2BMed%26rft.aulast%253DPerry%26rft.auinit1%253DG.%26rft.volume%253D4%26rft.issue%253D8%26rft.spage%253D897%26rft.epage%253D898%26rft.atitle%253DA%2Bsuicide%2Bnote%2Bfrom%2BAlzheimer%2Bdisease%2Bneurons%253F%26rft_id%253Dinfo%253Adoi%252F10.1038%252Fnm0898-897%26rft_id%253Dinfo%253Apmid%252F9701239%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [6]: /lookup/external-ref?access_num=10.1038/nm0898-897&link_type=DOI [7]: /lookup/external-ref?access_num=9701239&link_type=MED&atom=%2Fsci%2F282%2F5392%2F1265.8.atom [8]: /lookup/external-ref?access_num=000075107400030&link_type=ISI
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
Copyright应助程青青采纳,获得10
刚刚
花生发布了新的文献求助10
2秒前
2秒前
打打应助科研通管家采纳,获得10
2秒前
2秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
隐形曼青应助科研通管家采纳,获得10
3秒前
隐形曼青应助兴奋烨采纳,获得10
3秒前
3秒前
无花果应助科研通管家采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
深情安青应助科研通管家采纳,获得10
3秒前
LSD发布了新的文献求助20
4秒前
4秒前
6秒前
香蕉觅云应助xy1114采纳,获得10
6秒前
8秒前
爱笑的眼睛完成签到,获得积分10
8秒前
CodeCraft应助LSD采纳,获得20
9秒前
9秒前
科研通AI2S应助ayiaw采纳,获得10
10秒前
oreo完成签到,获得积分10
10秒前
10秒前
嘟嘟嘟发布了新的文献求助10
11秒前
heathens发布了新的文献求助10
12秒前
13秒前
Hhhhhhh发布了新的文献求助10
13秒前
subingt发布了新的文献求助10
13秒前
13秒前
丰富忻完成签到 ,获得积分10
16秒前
16秒前
16秒前
小花发布了新的文献求助10
18秒前
兴奋烨发布了新的文献求助10
18秒前
yy完成签到,获得积分10
20秒前
田様应助Maestro_S采纳,获得10
20秒前
21秒前
千里及完成签到,获得积分10
21秒前
22秒前
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7250909
求助须知:如何正确求助?哪些是违规求助? 8873568
关于积分的说明 18728593
捐赠科研通 6930513
什么是DOI,文献DOI怎么找? 3199237
关于科研通互助平台的介绍 2374280
邀请新用户注册赠送积分活动 2173916