阿尔茨海默病的液体生物标志物

Qi Peng, Zhentao Zhang
{"title":"阿尔茨海默病的液体生物标志物","authors":"Qi Peng, Zhentao Zhang","doi":"10.26599/BSA.2021.9050001","DOIUrl":null,"url":null,"abstract":"Alzheimer’s disease (AD) is the most common neurodegenerative disorder. However, it still has no available disease‐modifying therapies. Its pathology cascade begins decades before symptomatic presentation. For these reasons, highly sensitive and highly specific fluid biomarkers should be developed for the early diagnosis of AD. In this study, the well‐established and emerging fluid biomarkers of AD are summarized, and recent advances on their role in early diagnosis and progression monitoring as well as their correlations with AD pathology are highlighted. Future prospects and related research directions are also discussed.","PeriodicalId":67062,"journal":{"name":"Brain Science Advances","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The fluid biomarkers of Alzheimer’s disease\",\"authors\":\"Qi Peng, Zhentao Zhang\",\"doi\":\"10.26599/BSA.2021.9050001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Alzheimer’s disease (AD) is the most common neurodegenerative disorder. However, it still has no available disease‐modifying therapies. Its pathology cascade begins decades before symptomatic presentation. For these reasons, highly sensitive and highly specific fluid biomarkers should be developed for the early diagnosis of AD. In this study, the well‐established and emerging fluid biomarkers of AD are summarized, and recent advances on their role in early diagnosis and progression monitoring as well as their correlations with AD pathology are highlighted. Future prospects and related research directions are also discussed.\",\"PeriodicalId\":67062,\"journal\":{\"name\":\"Brain Science Advances\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Science Advances\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.26599/BSA.2021.9050001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Science Advances","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.26599/BSA.2021.9050001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

阿尔茨海默病(AD)是最常见的神经退行性疾病。然而,它仍然没有可用的疾病改良疗法。其病理级联始于症状出现前几十年。出于这些原因,应开发高灵敏度和高特异性的液体生物标志物用于AD的早期诊断。在本研究中,总结了公认的和新兴的AD液体生物标志,并强调了它们在早期诊断和进展监测中的作用及其与AD病理学的相关性的最新进展。并对未来的发展前景及相关研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The fluid biomarkers of Alzheimer’s disease
Alzheimer’s disease (AD) is the most common neurodegenerative disorder. However, it still has no available disease‐modifying therapies. Its pathology cascade begins decades before symptomatic presentation. For these reasons, highly sensitive and highly specific fluid biomarkers should be developed for the early diagnosis of AD. In this study, the well‐established and emerging fluid biomarkers of AD are summarized, and recent advances on their role in early diagnosis and progression monitoring as well as their correlations with AD pathology are highlighted. Future prospects and related research directions are also discussed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
27
审稿时长
10 weeks
期刊最新文献
A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022 Overview of recognition methods for SSVEP-based BCIs in World Robot Contest 2022: MATLAB undergraduate group Algorithm contest of motor imagery BCI in the World Robot Contest 2022: A survey Winning algorithms in BCI Controlled Robot Contest in World Robot Contest 2022: BCI Turing Test Overview of the winning approaches in 2022 World Robot Contest Championship–Asynchronous SSVEP
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1