Literature DB >> 17229974

Magnetic resonance imaging of Alzheimer's pathology in the brains of living transgenic mice: a new tool in Alzheimer's disease research.

Clifford R Jack1, Malgorzata Marjanska, Thomas M Wengenack, Denise A Reyes, Geoffrey L Curran, Joseph Lin, Gregory M Preboske, Joseph F Poduslo, Michael Garwood.   

Abstract

Alzheimer's disease (AD) is the most common cause of dementia in the elderly. Cardinal pathologic features of AD are amyloid plaques and neurofibrillary tangles, and most in the field believe that the initiating events ultimately leading to clinical AD center on disordered metabolism of amyloid beta protein. Mouse models of AD have been created by inserting one or more human mutations associated with disordered amyloid metabolism and that cause early onset familial AD into the mouse genome. Human-like amyloid plaque formation increases dramatically with age in these transgenic mice. Amyloid reduction in humans is a major therapeutic objective, and AD transgenic mice allow controlled study of this biology. Recent work has shown that amyloid plaques as small as 35 microm can be detected using in vivo magnetic resonance microimaging (MRMI) at high magnetic field (9.4 T). In addition, age-dependent changes in metabolite concentration analogous to those that have been identified in human AD patients can be detected in these transgenic mice using single-voxel (1)H magnetic resonance spectroscopy ((1)H MRS) at high magnetic field. These MR-based techniques provide a new set of tools to the scientific community engaged in studying the biology of AD in transgenic models of the disease. For example, an obvious application is evaluating therapeutic modification of disease progression. Toward the end of this review, the authors include results from a pilot study demonstrating feasibility of using MRMI to detect therapeutic modification of plaque progression in AD transgenic mice.

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Year:  2007        PMID: 17229974     DOI: 10.1177/1073858406295610

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  31 in total

Review 1.  Metabolic Alterations Associated to Brain Dysfunction in Diabetes.

Authors:  João M N Duarte
Journal:  Aging Dis       Date:  2015-10-01       Impact factor: 6.745

2.  Magnetic resonance imaging of amyloid plaques in transgenic mouse models of Alzheimer's disease.

Authors:  Ryan Chamberlain; Thomas M Wengenack; Joseph F Poduslo; Michael Garwood; Clifford R Jack
Journal:  Curr Med Imaging Rev       Date:  2011-02

Review 3.  MRI in rodent models of brain disorders.

Authors:  Aleksandar Denic; Slobodan I Macura; Prasanna Mishra; Jeffrey D Gamez; Moses Rodriguez; Istvan Pirko
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

Review 4.  Novel frontiers in ultra-structural and molecular MRI of the brain.

Authors:  Jeff H Duyn; Alan P Koretsky
Journal:  Curr Opin Neurol       Date:  2011-08       Impact factor: 5.710

Review 5.  Metabolic disturbances in diseases with neurological involvement.

Authors:  João M N Duarte; Patrícia F Schuck; Gary L Wenk; Gustavo C Ferreira
Journal:  Aging Dis       Date:  2013-11-30       Impact factor: 6.745

6.  Multimodal nanoprobes to target cerebrovascular amyloid in Alzheimer's disease brain.

Authors:  Kristen M Jaruszewski; Geoffry L Curran; Suresh K Swaminathan; Jens T Rosenberg; Samuel C Grant; Subramanian Ramakrishnan; Val J Lowe; Joseph F Poduslo; Karunya K Kandimalla
Journal:  Biomaterials       Date:  2013-12-09       Impact factor: 12.479

7.  Automatic segmentation of amyloid plaques in MR images using unsupervised support vector machines.

Authors:  Gheorghe Iordanescu; Palamadai N Venkatasubramanian; Alice M Wyrwicz
Journal:  Magn Reson Med       Date:  2011-08-16       Impact factor: 4.668

Review 8.  Multiphoton in vivo imaging of amyloid in animal models of Alzheimer's disease.

Authors:  Jinghui Dong; Raquel Revilla-Sanchez; Stephen Moss; Philip G Haydon
Journal:  Neuropharmacology       Date:  2010-04-14       Impact factor: 5.250

9.  MRI and histological analysis of beta-amyloid plaques in both human Alzheimer's disease and APP/PS1 transgenic mice.

Authors:  Mark D Meadowcroft; James R Connor; Michael B Smith; Qing X Yang
Journal:  J Magn Reson Imaging       Date:  2009-05       Impact factor: 4.813

10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

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