Literature DB >> 12737527

Learning and memory deficits in APP transgenic mouse models of amyloid deposition.

Dave Morgan1.   

Abstract

Several different transgenic APP mice develop learning and memory deficits. In some cases the mice have deficits very early in life, while in other instances the mice exhibit deficits only after they have aged and amyloid deposits have accumulated. In many cases, there is a correlation in individual mice of the same age and genotype between the extent of learning and memory deficits and the amounts of deposited amyloid found in the central nervous system. While superficially this might imply that the deposited material is somehow toxic to cognition, it is likely that deposited amyloid is also an index of the overall rate of amyloid production in each mouse. Rate of production would be expected to modify not only the amounts of deposited amyloid, but also other amyloid pools, including soluble, oligomeric, conjugated (e.g. ADDLs) and intracellular. Thus, the deposited material may be an integrated reflection of total A beta production, in addition to indicating the amounts in fibrillar forms. As such, it is conceivable that other A beta pools may be more directly linked to memory deficits. Thus far, the one manipulation found to mitigate the learning and memory deficits in APP transgenic mice is immunotherapy for A beta, either using active or passive immunization against the peptide. These data together with other findings are leading to a conclusion that the fibrillar A beta deposits are not directly linked to the memory deficits in mice, and that some other A beta pool, more readily diminished by immunotherapy, is more directly linked to the mechanisms leading to poor performance in learning and memory tasks.

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Year:  2003        PMID: 12737527     DOI: 10.1023/a:1023255106106

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  32 in total

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Journal:  Neurobiol Dis       Date:  2002-04       Impact factor: 5.996

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Journal:  Behav Neurosci       Date:  2003-06       Impact factor: 1.912

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  25 in total

Review 1.  Mouse models of Alzheimer's disease.

Authors:  Alicia M Hall; Erik D Roberson
Journal:  Brain Res Bull       Date:  2011-11-28       Impact factor: 4.077

2.  Incipient Alzheimer's disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses.

Authors:  Eric M Blalock; James W Geddes; Kuey Chu Chen; Nada M Porter; William R Markesbery; Philip W Landfield
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-09       Impact factor: 11.205

Review 3.  APP transgenic mice for modelling behavioural and psychological symptoms of dementia (BPSD).

Authors:  R Lalonde; K Fukuchi; C Strazielle
Journal:  Neurosci Biobehav Rev       Date:  2012-02-21       Impact factor: 8.989

4.  Amyloid-β Oligomers May Impair SNARE-Mediated Exocytosis by Direct Binding to Syntaxin 1a.

Authors:  Yoosoo Yang; Jaewook Kim; Hye Yun Kim; Nayeon Ryoo; Sejin Lee; YoungSoo Kim; Hyewhon Rhim; Yeon-Kyun Shin
Journal:  Cell Rep       Date:  2015-08-13       Impact factor: 9.423

5.  Diurnal H-reflex variation in mice.

Authors:  Jonathan S Carp; Ann M Tennissen; Xiang Yang Chen; Jonathan R Wolpaw
Journal:  Exp Brain Res       Date:  2005-09-07       Impact factor: 1.972

6.  Microarray analyses of laser-captured hippocampus reveal distinct gray and white matter signatures associated with incipient Alzheimer's disease.

Authors:  Eric M Blalock; Heather M Buechel; Jelena Popovic; James W Geddes; Philip W Landfield
Journal:  J Chem Neuroanat       Date:  2011-07-02       Impact factor: 3.052

7.  Early-onset behavioral and synaptic deficits in a mouse model of Alzheimer's disease.

Authors:  J Steven Jacobsen; Chi-Cheng Wu; Jeffrey M Redwine; Thomas A Comery; Robert Arias; Mark Bowlby; Robert Martone; John H Morrison; Menelas N Pangalos; Peter H Reinhart; Floyd E Bloom
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-20       Impact factor: 11.205

Review 8.  The effects of cholesterol on learning and memory.

Authors:  Bernard G Schreurs
Journal:  Neurosci Biobehav Rev       Date:  2010-05-12       Impact factor: 8.989

9.  Alternative splicing in the N-terminus of Alzheimer's presenilin 1.

Authors:  Wiep Scheper; Rob Zwart; Frank Baas
Journal:  Neurogenetics       Date:  2004-10-05       Impact factor: 2.660

10.  Classical conditioning of the rabbit's nictitating membrane response is a function of the duration of dietary cholesterol.

Authors:  Bernard G Schreurs; Carrie A Smith-Bell; Deya S Darwish; Goran Stankovic; D Larry Sparks
Journal:  Nutr Neurosci       Date:  2007 Jun-Aug       Impact factor: 4.994

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