首页 | 本学科首页   官方微博 | 高级检索  
     

Familial Alzheimer’s disease modelling using induced pluripotent stem cell technology
引用本文:Lisa Mohamet,Natalie J Miazga,Christopher M Ward. Familial Alzheimer’s disease modelling using induced pluripotent stem cell technology[J]. World journal of stem cells, 2014, 6(2): 239-247. DOI: 10.4252/wjsc.v6.i2.239
作者姓名:Lisa Mohamet  Natalie J Miazga  Christopher M Ward
基金项目:Supported by United Kingdom Biotechnology and Biosciences Research Council,Engineering and Physical Sciences Research Council and the Technology Strategy Board
摘    要:Alzheimer’s disease(AD)is a progressive neurodegenerative disease in which patients exhibit gradual loss of memory that impairs their ability to learn or carry out daily tasks.Diagnosis of AD is difficult,particularly in early stages of the disease,and largely consists of cognitive assessments,with only one in four patients being correctly diagnosed.Development of novel therapeutics for the treatment of AD has proved to be a lengthy,costly and relatively unproductive process with attrition rates of90%.As a result,there are no cures for AD and few treatment options available for patients.Therefore,there is a pressing need for drug discovery platforms that can accurately and reproducibly mimic the AD phenotype and be amenable to high content screening applications.Here,we discuss the use of induced pluripotent stem cells(iPSCs),which can be derived from adult cells,as a method of recapitulation of AD phenotype in vitro.We assess their potential use in high content screening assays and the barriers that exist to realising their full potential in predictive efficacy,toxicology and disease modelling.At present,a number of limitations need to be addressed before the use of iPSC technology can be fully realised in AD therapeutic applications.However,whilst the use of AD-derived iPSCs in drug discovery remains a fledgling field,it is one with immense potential that is likely to reach fruition within the next few years.

收稿时间:2013-12-04

Familial Alzheimer's disease modelling using induced pluripotent stem cell technology
Lisa Mohamet,Natalie J Miazga,Christopher M Ward. Familial Alzheimer's disease modelling using induced pluripotent stem cell technology[J]. World journal of stem cells, 2014, 6(2): 239-247. DOI: 10.4252/wjsc.v6.i2.239
Authors:Lisa Mohamet  Natalie J Miazga  Christopher M Ward
Abstract:Alzheimer’s disease (AD) is a progressive neurodegenerative disease in which patients exhibit gradual loss of memory that impairs their ability to learn or carry out daily tasks. Diagnosis of AD is difficult, particularly in early stages of the disease, and largely consists of cognitive assessments, with only one in four patients being correctly diagnosed. Development of novel therapeutics for the treatment of AD has proved to be a lengthy, costly and relatively unproductive process with attrition rates of > 90%. As a result, there are no cures for AD and few treatment options available for patients. Therefore, there is a pressing need for drug discovery platforms that can accurately and reproducibly mimic the AD phenotype and be amenable to high content screening applications. Here, we discuss the use of induced pluripotent stem cells (iPSCs), which can be derived from adult cells, as a method of recapitulation of AD phenotype in vitro. We assess their potential use in high content screening assays and the barriers that exist to realising their full potential in predictive efficacy, toxicology and disease modelling. At present, a number of limitations need to be addressed before the use of iPSC technology can be fully realised in AD therapeutic applications. However, whilst the use of AD-derived iPSCs in drug discovery remains a fledgling field, it is one with immense potential that is likely to reach fruition within the next few years.
Keywords:Human induced pluripotent stem cells  Alzheimer's disease  Neurodegenerative diseases  Highthroughput screening assays  Cholinergic neurons  Drug discovery  Stratified medicine
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号