Literature DB >> 20470790

Strain specific differences in memory and neuropathology in a mouse model of Alzheimer's disease.

Kathryn A C Glazner1, Gary L Odero, Everet Anema, Anna Motnenko, Jason Schapansky, Denise Grossman, Derek R Oliver, Gordon W Glazner, Benedict C Albensi.   

Abstract

AIMS: Studies using transgenic mouse strains that incorporate Alzheimer's disease (AD) mutations are valuable for the identification of signaling pathways, potential drug targets, and possible mechanisms of disease that will aid in our understanding of AD. However, reports on the effects of specific AD mutations (Swedish, KM670/671NL; Indiana, V717F) on behavior (Morris water maze) and neuropathological progression have been inconsistent when comparing different genetic backgrounds in these models. Given this, investigators are compelled to more closely evaluate different background strains. The aim of the present study was to compare two commonly used TgCRND8 backgrounds, the 129SvEvTac/C57F1 strain and the C3H/C57F1 strain. MAIN
METHODS: Memory function was assessed by the Morris water maze, a test for assaying hippocampal-dependent memory. We also stained with ThioflavinS in order to visualize and quantify amyloid beta (Abeta) plaques. Real time polymerase chain reaction (PCR) was used to measure insulin-degrading enzyme (IDE), an enzyme that also degrades amyloid beta. KEY
FINDINGS: We found deficits in the 129SvEvTac/C57F1 strain in several parameters of the Morris water maze. In addition, amyloid plaque load expression was significantly greater in the 129SvEvTac/C57F1 as compared to the C3H/C57F1 strain as demonstrated by histochemical staining. We also observed a significant decrease in IDE, in the 129SvEvTac/C57F1 strain. SIGNIFICANCE: This study supports the notion that strain specific differences are apparent in tests of spatial memory and neuropathologic progression in AD. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20470790     DOI: 10.1016/j.lfs.2010.04.014

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  10 in total

Review 1.  Mouse models of Alzheimer's disease.

Authors:  Alicia M Hall; Erik D Roberson
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2.  Genetic reduction of Nrf2 exacerbates cognitive deficits in a mouse model of Alzheimer's disease.

Authors:  Caterina Branca; Eric Ferreira; Thuy-Vi Nguyen; Kristian Doyle; Antonella Caccamo; Salvatore Oddo
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3.  Differences in memory development among C57BL/6NCrl, 129S2/SvPasCrl, and FVB/NCrl mice after delay and trace fear conditioning.

Authors:  Amelia March; David Borchelt; Todd Golde; Christopher Janus
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Review 4.  Improving the predictive value of interventional animal models data.

Authors:  Caroline J Zeiss
Journal:  Drug Discov Today       Date:  2014-11-04       Impact factor: 7.851

5.  Delayed amyloid plaque deposition and behavioral deficits in outcrossed AβPP/PS1 mice.

Authors:  Brian A Couch; Meghan E Kerrisk; Adam C Kaufman; Haakon B Nygaard; Stephen M Strittmatter; Anthony J Koleske
Journal:  J Comp Neurol       Date:  2013-04-15       Impact factor: 3.215

6.  Genomic background-related activation of microglia and reduced β-amyloidosis in a mouse model of Alzheimer's disease.

Authors:  Christina Fröhlich; Kristin Paarmann; Johannes Steffen; Jan Stenzel; Markus Krohn; Hans-Jochen Heinze; Jens Pahnke
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Review 7.  Non-steroidal anti-inflammatory drugs and cognitive function: are prostaglandins at the heart of cognitive impairment in dementia and delirium?

Authors:  Colm Cunningham; Donal Thomas Skelly
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8.  NF-κB p50 subunit knockout impairs late LTP and alters long term memory in the mouse hippocampus.

Authors:  Kensuke Oikawa; Gary L Odero; Eric Platt; Melanie Neuendorff; Avril Hatherell; Michael J Bernstein; Benedict C Albensi
Journal:  BMC Neurosci       Date:  2012-07-11       Impact factor: 3.288

Review 9.  Genetic variants associated with neurodegenerative Alzheimer disease in natural models.

Authors:  Claudia Salazar; Gonzalo Valdivia; Álvaro O Ardiles; John Ewer; Adrián G Palacios
Journal:  Biol Res       Date:  2016-02-26       Impact factor: 5.612

10.  Energy-efficient population coding constrains network size of a neuronal array system.

Authors:  Lianchun Yu; Chi Zhang; Liwei Liu; Yuguo Yu
Journal:  Sci Rep       Date:  2016-01-19       Impact factor: 4.379

  10 in total

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