Literature DB >> 15709472

Transgenic mouse models for APP processing and Alzheimer's disease: early and late defects.

Tom van Dooren1, Ilse Dewachter, Peter Borghgraef, Fred van Leuven.   

Abstract

Transgenic mice with neuronal expression of human AD-mutant APP[V7171] in their brain recapitulate robustly the amyloid pathology as seen in Alzheimer's disease (AD) patients. The AD related pathological phenotype consisting of amyloid plaques and vascular amyloid pathology, develop progressively and relative late in ageing APP transgenic mice, between 10 and 15 months of age. In contrast to the late - and clinically irrelevant - amyloid plaque-pathology, the early cognitive defects and behavioural features are clinically more interesting. This review discusses the generation and in depth phenotypic characterization of both aspects of the APP[V7171] transgenic mice. Attention is focussed on the relation of biochemical data of the different APP fragments and amyloid peptides to the formation of the typical early defects and the late parenchymal and vascular amyloid depositions. The APP[V7171] transgenic mice are a perfect model to characterize and investigate early biochemical and cognitive aspects and a potential resource to define pathological interactions of different factors known to be involved in AD. Finally, any therapeutic intervention can be directly tested and explored in these transgenic mice as excellent pre-clinical models.

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Year:  2005        PMID: 15709472     DOI: 10.1007/0-387-23226-5_2

Source DB:  PubMed          Journal:  Subcell Biochem        ISSN: 0306-0225


  9 in total

1.  Age-related loss of noradrenergic neurons in the brains of triple transgenic mice.

Authors:  Kebreten F Manaye; Peter R Mouton; Guang Xu; Amy Drew; De-Liang Lei; Yukti Sharma; G William Rebeck; Scott Turner
Journal:  Age (Dordr)       Date:  2011-11-30

2.  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

3.  F-18 stilbenes as PET imaging agents for detecting beta-amyloid plaques in the brain.

Authors:  Wei Zhang; Shunichi Oya; Mei-Ping Kung; Catherine Hou; Donna L Maier; Hank F Kung
Journal:  J Med Chem       Date:  2005-09-22       Impact factor: 7.446

4.  Neuronal or glial expression of human apolipoprotein e4 affects parenchymal and vascular amyloid pathology differentially in different brain regions of double- and triple-transgenic mice.

Authors:  Tom Van Dooren; David Muyllaert; Peter Borghgraef; Annelies Cresens; Herman Devijver; Ingrid Van der Auwera; Stefaan Wera; Ilse Dewachter; Fred Van Leuven
Journal:  Am J Pathol       Date:  2006-01       Impact factor: 4.307

5.  Modeling of tau-mediated synaptic and neuronal degeneration in Alzheimer's disease.

Authors:  Tomasz Jaworski; Sebastian Kügler; Fred Van Leuven
Journal:  Int J Alzheimers Dis       Date:  2010-08-24

6.  Prolonged running, not fluoxetine treatment, increases neurogenesis, but does not alter neuropathology, in the 3xTg mouse model of Alzheimer's disease.

Authors:  Michael W Marlatt; Michelle C Potter; Thomas A Bayer; Henriette van Praag; Paul J Lucassen
Journal:  Curr Top Behav Neurosci       Date:  2013

7.  Natural non-trasgenic animal models for research in Alzheimer's disease.

Authors:  Manuel Sarasa; Pedro Pesini
Journal:  Curr Alzheimer Res       Date:  2009-04       Impact factor: 3.498

Review 8.  Alzheimer disease models and human neuropathology: similarities and differences.

Authors:  Charles Duyckaerts; Marie-Claude Potier; Benoît Delatour
Journal:  Acta Neuropathol       Date:  2007-11-16       Impact factor: 17.088

9.  Decreased Plasma Aβ in Hyperlipidemic APPSL Transgenic Mice Is Associated with BBB Dysfunction.

Authors:  Tina Löffler; Stefanie Flunkert; Magdalena Temmel; Birgit Hutter-Paier
Journal:  Front Neurosci       Date:  2016-06-01       Impact factor: 4.677

  9 in total

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