Literature DB >> 21531045

Gadolinium-staining reveals amyloid plaques in the brain of Alzheimer's transgenic mice.

Alexandra Petiet1, Mathieu Santin, Anne Bertrand, Christopher J Wiggins, Fanny Petit, Diane Houitte, Philippe Hantraye, Jesus Benavides, Thomas Debeir, Thomas Rooney, Marc Dhenain.   

Abstract

Detection of amyloid plaques in the brain by in vivo neuroimaging is a very promising biomarker approach for early diagnosis of Alzheimer's disease (AD) and evaluation of therapeutic efficacy. Here we describe a new method to detect amyloid plaques by in vivo magnetic resonance imaging (MRI) based on the intracerebroventricular injection of a nontargeted gadolinium (Gd)-based contrast agent, which rapidly diffuses throughout the brain and increases the signal and contrast of magnetic resonance (MR) images by shortening the T1 relaxation time. This gain in image sensitivity after in vitro and in vivo Gd staining significantly improves the detection and resolution of individual amyloid plaques in the cortex and hippocampus of AD transgenic mice. The improved image resolution is sensitive enough to demonstrate an age-dependent increase of amyloid plaque load and a good correlation between the amyloid load measured by μMRI and histology. These results provide the first demonstration that nontargeted Gd staining can enhance the detection of amyloid plaques to follow the progression of AD and to evaluate the activity of amyloid-lowering therapeutic strategies in longitudinal studies.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21531045     DOI: 10.1016/j.neurobiolaging.2011.03.009

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  17 in total

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Journal:  ACS Chem Neurosci       Date:  2013-09-26       Impact factor: 4.418

2.  Lipid microbubbles as a vehicle for targeted drug delivery using focused ultrasound-induced blood-brain barrier opening.

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3.  Glyconanoparticle aided detection of β-amyloid by magnetic resonance imaging and attenuation of β-amyloid induced cytotoxicity.

Authors:  Hovig Kouyoumdjian; David C Zhu; Mohammad H El-Dakdouki; Kelly Lorenz; Jianjun Chen; Wei Li; Xuefei Huang
Journal:  ACS Chem Neurosci       Date:  2013-01-16       Impact factor: 4.418

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

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6.  SPION-enhanced magnetic resonance imaging of Alzheimer's disease plaques in AβPP/PS-1 transgenic mouse brain.

Authors:  Laurel O Sillerud; Nathan O Solberg; Ryan Chamberlain; Robert A Orlando; John E Heidrich; David C Brown; Christina I Brady; Thomas A Vander Jagt; Michael Garwood; David L Vander Jagt
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

7.  Associating a negatively charged GdDOTA-derivative to the Pittsburgh compound B for targeting Aβ amyloid aggregates.

Authors:  André F Martins; Alexandre C Oliveira; Jean-François Morfin; Douglas V Laurents; Éva Tóth; Carlos F G C Geraldes
Journal:  J Biol Inorg Chem       Date:  2015-11-27       Impact factor: 3.358

8.  In vivo multi-parametric manganese-enhanced MRI for detecting amyloid plaques in rodent models of Alzheimer's disease.

Authors:  Eugene Kim; Davide Di Censo; Mattia Baraldo; Camilla Simmons; Ilaria Rosa; Karen Randall; Clive Ballard; Ben R Dickie; Steven C R Williams; Richard Killick; Diana Cash
Journal:  Sci Rep       Date:  2021-06-14       Impact factor: 4.379

9.  Micro-MRI study of cerebral aging: ex vivo detection of hippocampal subfield reorganization, microhemorrhages and amyloid plaques in mouse lemur primates.

Authors:  Anne Bertrand; Adrien Pasquier; Alexandra Petiet; Christopher Wiggins; Audrey Kraska; Nelly Joseph-Mathurin; Fabienne Aujard; Nadine Mestre-Francés; Marc Dhenain
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

10.  Potential applications of magnetic particles to detect and treat Alzheimer's disease.

Authors:  Maria Antònia Busquets; Raimon Sabaté; Joan Estelrich
Journal:  Nanoscale Res Lett       Date:  2014-10-01       Impact factor: 4.703

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