Literature DB >> 20967591

Selecting a mouse model of Alzheimer's disease.

Jeannie Chin1.   

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease and cause of dementia. Significant strides toward understanding and developing therapies for AD have been supported by the use of transgenic mouse models of AD. Over the last two decades, a number of mouse models have been created to recapitulate the major neuropathological hallmarks of the disease, namely amyloid plaques and neurofibrillary tangles. These mice recapitulate many, although not all, of the key features of AD, and have been widely used in AD research. At the present time, there are numerous types of transgenic mice available for the study of AD, many of which have been characterized to some extent in terms of neuronal, neuropathological, and/or behavioral abnormalities. This repository of transgenic mice offers a wealth of opportunity to investigate the cellular mechanisms underlying AD, and the choice of mouse model for research should be guided by the specific questions to be answered. We provide here some considerations for selecting a mouse model of AD best suited to particular lines of investigation.

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Year:  2011        PMID: 20967591     DOI: 10.1007/978-1-60761-744-0_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  27 in total

1.  Synaptic deficits are rescued in the p25/Cdk5 model of neurodegeneration by the reduction of β-secretase (BACE1).

Authors:  Paola Giusti-Rodríguez; Jun Gao; Johannes Gräff; Damien Rei; Takahiro Soda; Li-Huei Tsai
Journal:  J Neurosci       Date:  2011-11-02       Impact factor: 6.167

Review 2.  Alzheimer's in 3D culture: challenges and perspectives.

Authors:  Carla D'Avanzo; Jenna Aronson; Young Hye Kim; Se Hoon Choi; Rudolph E Tanzi; Doo Yeon Kim
Journal:  Bioessays       Date:  2015-08-07       Impact factor: 4.345

3.  Detection of β-Amyloid by Sialic Acid Coated Bovine Serum Albumin Magnetic Nanoparticles in a Mouse Model of Alzheimer's Disease.

Authors:  Seyedmehdi Hossaini Nasr; Hovig Kouyoumdjian; Christiane Mallett; Sherif Ramadan; David C Zhu; Erik M Shapiro; Xuefei Huang
Journal:  Small       Date:  2017-11-14       Impact factor: 13.281

4.  ΔFosB Regulates Gene Expression and Cognitive Dysfunction in a Mouse Model of Alzheimer's Disease.

Authors:  Brian F Corbett; Jason C You; Xiaohong Zhang; Mark S Pyfer; Umberto Tosi; Daniel M Iascone; Iraklis Petrof; Anupam Hazra; Chia-Hsuan Fu; Gabriel S Stephens; Annie A Ashok; Suzan Aschmies; Lijuan Zhao; Eric J Nestler; Jeannie Chin
Journal:  Cell Rep       Date:  2017-07-11       Impact factor: 9.423

Review 5.  Anesthetic effects in Alzheimer transgenic mouse models.

Authors:  Junxia X Tang; Maryellen F Eckenhoff
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-06-13       Impact factor: 5.067

Review 6.  Shared cognitive and behavioral impairments in epilepsy and Alzheimer's disease and potential underlying mechanisms.

Authors:  Jeannie Chin; Helen E Scharfman
Journal:  Epilepsy Behav       Date:  2013-01-13       Impact factor: 2.937

Review 7.  Neurodegeneration and Alzheimer's disease (AD). What Can Proteomics Tell Us About the Alzheimer's Brain?

Authors:  Guillermo Moya-Alvarado; Noga Gershoni-Emek; Eran Perlson; Francisca C Bronfman
Journal:  Mol Cell Proteomics       Date:  2015-12-11       Impact factor: 5.911

8.  Transgenic mice overexpressing amyloid precursor protein exhibit early metabolic deficits and a pathologically low leptin state associated with hypothalamic dysfunction in arcuate neuropeptide Y neurons.

Authors:  Makoto Ishii; Gang Wang; Gianfranco Racchumi; Jonathan P Dyke; Costantino Iadecola
Journal:  J Neurosci       Date:  2014-07-02       Impact factor: 6.167

Review 9.  Back and forth in time: Directing age in iPSC-derived lineages.

Authors:  Daniela Cornacchia; Lorenz Studer
Journal:  Brain Res       Date:  2015-11-17       Impact factor: 3.252

10.  Direct Tracking of Amyloid and Tu Dynamics in Neuroblastoma Cells Using Nanoplasmonic Fiber Tip Probes.

Authors:  Feng Liang; Yiying Zhang; Wooyoung Hong; Yuanlin Dong; Zhongcong Xie; Qimin Quan
Journal:  Nano Lett       Date:  2016-06-14       Impact factor: 11.189

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