Literature DB >> 23447589

Reversible pathologic and cognitive phenotypes in an inducible model of Alzheimer-amyloidosis.

Tatiana Melnikova1, Susan Fromholt, HyunSu Kim, Deidre Lee, Guilian Xu, Ashleigh Price, Brenda D Moore, Todd E Golde, Kevin M Felsenstein, Alena Savonenko, David R Borchelt.   

Abstract

Transgenic mice that express mutant amyloid precursor protein (APPsi) using tet-Off vector systems provide an alternative model for assessing short- and long-term effects of Aβ-targeting therapies on phenotypes related to the deposition of Alzheimer-type amyloid. Here we use such a model, termed APPsi:tTA, to determine what phenotypes persist in mice with high amyloid burden after new production of APP/Aβ has been suppressed. We find that 12- to 13-month-old APPsi:tTA mice are impaired in cognitive tasks that assess short- and long-term memories. Acutely suppressing new APPsi/Aβ production produced highly significant improvements in performing short-term spatial memory tasks, which upon continued suppression translated to superior performance in more demanding tasks that assess long-term spatial memory and working memory. Deficits in episodic-like memory and cognitive flexibility, however, were more persistent. Arresting mutant APPsi production caused a rapid decline in the brain levels of soluble APP ectodomains, full-length APP, and APP C-terminal fragments. As expected, amyloid deposits persisted after new APP/Aβ production was inhibited, whereas, unexpectedly, we detected persistent pools of solubilizable, relatively mobile, Aβ42. Additionally, we observed persistent levels of Aβ-immunoreactive entities that were of a size consistent with SDS-resistant oligomeric assemblies. Thus, in this model with significant amyloid pathology, a rapid amelioration of cognitive deficits was observed despite persistent levels of oligomeric Aβ assemblies and low, but detectable solubilizable Aβ42 peptides. These findings implicate complex relationships between accumulating Aβ and activities of APP, soluble APP ectodomains, and/or APP C-terminal fragments in mediating cognitive deficits in this model of amyloidosis.

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Year:  2013        PMID: 23447589      PMCID: PMC3711622          DOI: 10.1523/JNEUROSCI.4251-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  60 in total

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3.  A new one-trial test for neurobiological studies of memory in rats. 1: Behavioral data.

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4.  A learning deficit related to age and beta-amyloid plaques in a mouse model of Alzheimer's disease.

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Authors:  Joanna L Jankowsky; Hilda H Slunt; Victoria Gonzales; Alena V Savonenko; Jason C Wen; Nancy A Jenkins; Neal G Copeland; Linda H Younkin; Henry A Lester; Steven G Younkin; David R Borchelt
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  32 in total

Review 1.  The keystone of Alzheimer pathogenesis might be sought in Aβ physiology.

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Review 2.  Three dimensions of the amyloid hypothesis: time, space and 'wingmen'.

Authors:  Erik S Musiek; David M Holtzman
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3.  Conditional Deletion of Prnp Rescues Behavioral and Synaptic Deficits after Disease Onset in Transgenic Alzheimer's Disease.

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Review 4.  β-Amyloid peptides and amyloid plaques in Alzheimer's disease.

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Review 5.  Animal Models of Psychosis in Alzheimer Disease.

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6.  Sex-related dimorphism in dentate gyrus atrophy and behavioral phenotypes in an inducible tTa:APPsi transgenic model of Alzheimer's disease.

Authors:  Tatiana Melnikova; DaMin Park; Lauren Becker; Deidre Lee; Eugenia Cho; Nuzhat Sayyida; Jing Tian; Karen Bandeen-Roche; David R Borchelt; Alena V Savonenko
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8.  Genetic modulation of soluble Aβ rescues cognitive and synaptic impairment in a mouse model of Alzheimer's disease.

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Review 9.  Toward more predictive genetic mouse models of Alzheimer's disease.

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10.  Discrete Pools of Oligomeric Amyloid-β Track with Spatial Learning Deficits in a Mouse Model of Alzheimer Amyloidosis.

Authors:  Angie C A Chiang; Stephanie W Fowler; Rohit Reddy; Olga Pletnikova; Juan C Troncoso; Mathew A Sherman; Sylvain E Lesne; Joanna L Jankowsky
Journal:  Am J Pathol       Date:  2017-12-15       Impact factor: 4.307

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