Learn. Mem.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ashe, K. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ashe, K. H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Vol. 8, No. 6, pp. 301-308, November/December 2001

REVIEW/MODEL SYSTEMS SERIES
Learning and Memory in Transgenic Mice Modeling Alzheimer's Disease

Karen Hsiao Ashe

Departments of Neurology and Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA


    ABSTRACT
TOP
ABSTRACT
ARTICLE
REFERENCES

Recent advances in behavioral analyses of transgenic mouse models of Alzheimer's disease (AD) are discussed, and their impact on our understanding of the molecular basis of cognitive impairment in AD is considered. Studies of the relationship between memory and Aß in transgenic mice expressing the amyloid precursor protein (APP) and its variants suggest that aging promotes the formation of soluble Aß assemblies mediating negative effects on memory. A significant component of memory loss in APP transgenic mice is apparently caused by soluble Aß assemblies, but whether and how much of the dementia within individuals afflicted with AD is caused by these Aß species is unclear. Future studies in composite transgenic mice developing amyloid plaques, neurofibrillary tangles, and other AD pathology may allow for the determination of the relative contribution of Aß and non-Aß components to dementia.


    ARTICLE
TOP
ABSTRACT
ARTICLE
REFERENCES

The current optimism that meaningful treatments for Alzheimer's disease (AD) are imminent has been generated using transgenic mice modeling AD as test subjects (Schenk et al. 1999; Bard et al. 2000; Janus et al. 2000; Lim et al. 2000; Morgan et al. 2000; Cherny et al. 2001; Dovey et al. 2001). Transgenic mice modeling AD have been reported by over 20 research groups. These mice were created by expressing variants of amyloid precursor protein (APP), presenilin-1 (PS1) or presenilin-2, tau or apolipoprotein E. As a family the mice develop a wide variety of behavioral, biochemical, pathological, and physiological traits simulating AD, although not all traits have been represented within an individual mouse line. All of the transgenic mice used to evaluate potential therapeutic interventions have been APP transgenic mice or APP/PS1 bigenic mice, because they are the only transgenic mouse models of AD in which both amyloid deposition and progressive memory loss have been shown. The lack of neurofibrillary tangles or significant neuronal loss in APP or APP/PS1 mice makes it necessary to temper predictions of how interventions benefiting mice with only some of the pathological hallmarks of AD will affect humans afflicted with the actual disorder. Although it is possible to produce both amyloid plaques and neurofibrillary tangles within individual mice by crossing APP to tau transgenic mice, the resultant mice are not suitable for learning or memory assessments because they become paralyzed (Lewis et al. 2001). Testing of compounds and interventions in mice with more comprehensive phenotypes awaits further refinement of transgenic models of AD, but carefully interpreted treatment studies using currently available mice are nonetheless valuable.

The main objectives of this review are to discuss recent advances in behavioral analyses of transgenic mouse models of AD and to consider their impact on our understanding of the molecular basis of cognitive impairment in AD. For thoughtful summaries of genetic parameters, neuropathology, and behavioral studies in APP transgenic mice, see reviews by Westaway and colleagues (Janus et al. 2000) and by Chapman et al. (2001). A comprehensive, annotated transgenic mouse directory is accessible at http://staging.alzforum.org/members/resources/Transgenic/index.html (Alzheimer Research Forum 2001).

Dementia and Memory Loss

Mechanisms of Dementia in AD

Memory loss is the cardinal and one of the earliest clinical manifestations of AD. Therefore, the efficacy of any given intervention will ultimately be judged upon its ability to prevent memory loss or restore memory ability. New therapeutic measures against dementia in AD are being aimed at a variety of targets deemed instrumental in the pathogenesis of the disease. The two main targets are amyloid plaques and neurofibrillary tangles and their principal molecular components, Aß and tau.

The Aß hypothesis of AD stipulates that Aß aggregates to form amyloid plaques that are neurotoxic, leading to neurodegeneration accompanied by dementia. The strongest evidence for this hypothesis comes from molecular genetic studies of APP and presenilins in familial AD showing that all mutations increased the propensity for Aß to aggregate in vitro. Studies of the modifier gene product, apolipoprotein E, showing enhanced susceptibility conferred by the E4 allele also found that the E4 isoform increased the rate of Aß aggregation.

The principal argument against Aß stems from multiple studies showing little or no correlation between the number or size of amyloid deposits and dementia. In some reports synaptic loss and neurofibrillary tangles appear to correlate better with various measures of memory loss (Terry et al. 1991; Arriagada et al. 1992; Berg et al. 1993). Although no cases of AD are linked to mutations in tau, some familial dementias characterized by neurofibrillary tangles without amyloid deposits are linked to tau mutants (Hutton et al.1998; Poorkaj et al. 1998; Spillantini et al. 1998). This indicates that abnormal tau metabolism can also lead to dementia.

Measuring Memory in APP Transgenic Mice

One of the main challenges in cognitive studies of APP transgenic mice has been determining the onset of memory deficits. This is an important challenge because identifying molecules causing memory loss depends upon accurately determining when cognitive deficits first appear. Two factors have made this a potentially difficult determination to address. The first concerns the subtlety of initial memory deficits and whether the behavioral tests used are sufficiently sensitive to detect small, early changes. The second concerns the presence of age-independent behavioral deficits that might not be well distinguished from age-dependent learning and memory deficits and whether testing procedures and analyses distinguish between these processes.

Another significant problem in assessing memory in APP transgenic mice has been measuring memory ability across the entire life span of the mouse. This is critical for correlating memory loss with molecular markers appearing at different stages of disease. The main difficulty in this task is that the dynamic range for changes in molecular markers of AD is very large, whereas the dynamic range (i.e., the parametric space represented between the "ceiling" and "floor") for many popular behavioral procedures may be quite small. Unless all stages of cognitive failure are measurable within the dynamic range of a given behavioral procedure, meaningful data relating cognitive changes to molecular markers at different stages of disease cannot be generated.

Similar issues have been raised testing AD patients. Delayed recall for stories and figures discriminate mild cases from normal subjects well but show rapid deterioration to an early floor and are therefore poor for staging (Locascio et al. 1995). On the other hand, confrontation naming, semantic fluency, and immediate recognition of geometric figures show steady linear decline across time for patients with AD and are better tests for staging dementia severity (Locascio et al. 1995). Most studies comparing clinical status with brain pathology at autopsy use the MMSE (Mini-mental status exam; Folstein et al. 1975), the Blessed IMC (information, memory, and concentration) test (Blessed et al. 1968), or the CDR (Clinical dementia rating; Morris 1993), each of which provides a different composite measure of various aspects of global cognitive function. They correlate well with each other and exhibit a broad dynamic range covering all stages of AD (Cummings et al. 1996). However, the broad dynamic range is achieved at the expense of reduced selectivity for particular aspects of cognitive function.

Age-related behavioral deficits have been reported in five lines of APP transgenic mice (Table 1). Moran et al. were the first to measure spatial reference memory in an APP transgenic mouse line. Using the Morris water maze, they studied NSE:ß-APP751, a line that was homozygous for a transgene array expressing wild-type human APP751, and showed an age-dependent deterioration in the ability of mice to generate a search bias (Moran et al. 1995). Mice at 5-6 mo of age showed a search bias, but by 9-12 mo, they swam in a random pattern in all three probe trials performed at equal intervals during the 9-d training. During the probe trials, the swim pattern of the mouse was recorded after the submerged platform was removed, and the relative amount of time spent in the vicinity of the location of the platform is an indication of spatial memory. Interestingly, the escape latencies in both the hidden and visible versions of the test were slow in both age groups, possibly indicative of an age-independent deficit.

                              
View this table:
[in this window]
[in a new window]
 
Table 1:   Memory in APP Transgenic Mice wtih Age-Dependent Behavioral Changes

Morris and colleagues measured spatial working memory in PDAPP mice using a water maze protocol in which the location of the platform was changed between five successive groups of training trials (Chen et al. 2000). Transgene-positive mice performed less well than transgene-negative mice at the earliest tested age of 6-9 mo, and the difference between transgene-positive and -negative mice increased significantly with age. Further analysis revealed an age-independent component of impairment in the transgene-positive mice that was discerned during training to the first platform. This was distinct from an age-dependent component detected during training to the last two platforms and which was normal at 6-9 mo but abnormal at 13-15 mo and older. Whether these two components were related to the effects of Aß or overexpression of APP was not specifically addressed because transgenic mice expressing an equivalent amount of wild-type APP were not available for comparison. However, a weak, but statistically significant inverse correlation (r2 = 0.25) was found between amyloid load and learning capacity, defined as the number of different platform positions a mouse could learn before failing to learn more, suggesting a relationship between performance in this task and plaque deposition.

TgCRND8 mice showed impaired spatial reference learning and memory in the conventional Morris water maze at the earliest tested age of 3 mo (Janus et al. 2000; Chishti et al., 2001). Because of retest effects, no clear progression of the deficit was shown. Because no mice expressing comparable levels of wild-type APP were tested in parallel, the possibility that this early deficit was due to APP overexpression per se cannot be excluded. However, significantly better spatial acquisition observed in 11-wk mice immunized for 5 wk against Aß42, as opposed to control peptide (islet-associated polypeptide), implicated Aß. A progression of the deficit between 6 and 11 wk of age could be inferred by the finding that spatial learning and memory in 11-wk mice immunized against Aß42 was similar to that of nontransgenic mice.

When mutant or wild-type APP was expressed in transgenic mice in an FVB strain background, a wide variety of physical and behavioral abnormalities occurred, including premature death, neophobia, aggression, and seizures (Hsiao et al. 1995; Moechars et al. 1996, 1999). These abnormalities have not been observed in the other commonly used backgrounds, C57B6, 129S6, C3H, DBA, and Swiss Webster or mixtures thereof. The rates at which they occur in the FVB strain background depend upon APP expression levels. Van Leuven and colleagues reported that 3- to 6-month-old mice in a B6FVBF1 background expressing either APP with the V717I mutation or wild-type APP exhibit impaired spatial reference learning and memory in the conventional Morris water maze (Moechars et al. 1999). They did not determine the age at which this impairment became apparent or whether it progressed with aging, however (Moechars et al. 1999). It has been difficult to ascribe the various physical and behavioral abnormalities or the memory impairment in these mice to APP or to cleavage products of APP, including APPalpha , APPß, C-terminal fragments, or Aß (Moechars et al. 1999). The propensity for these mice to seize may complicate the interpretation of cognitive studies, making this problem potentially more difficult to solve in FVB mice.

Memory in Tg2576 mice has been measured by several groups. Various reports about the onset of cognitive deficits in Tg2576 have indicated abnormalities appearing as early as 3 mo, as late as 15 mo, and at intermediate ages (Hsiao et al. 1996; Chapman et al. 1999; King et al. 1999; Pompl et al. 1999; Morgan et al. 2000; Westerman et al., in press). The discrepancies between these studies are probably related to differences in the sensitivities and dynamic ranges of the various behavioral procedures used to test memory and to differences in the ability to distinguish age-independent behavioral abnormalities from age-dependent memory deficits (Westerman et al., in press). Ashe and colleagues found age-independent performance deficits related to both mutant and wild-type human APP overexpression by studying transgenic mice overexpressing wild-type human APP695 at a level equivalent to mutant APP695 in Tg2576 (Westerman et al., in press). When mice with these deficits that were not specifically related to the expression of mutant APP695 were excluded from the analysis and when probe trials were interpolated early during training to increase the sensitivity of the Morris water maze test, spatial memory loss was first detected at ~6 mo. These results are supported by studies of Tg2576 mice trained longitudinally to respond to a fixed consecutive number "five" operant paradigm (Cleary et al. 2000) or to alternate in a T-maze (P. Chapman, unpubl.), both showing overlapping performance of transgene-positive and -negative mice until ~7-8 mo.

These findings differ from two studies that failed to detect spatial acquisition or retention deficits in 9-month-old Tg2576 mice using the Morris water maze (Holcomb et al. 1999; King et al. 1999), well after the appearance of detergent-insoluble Aß, and a third showing no significant deficit in spatial retention in mice bigenic for the Tg2576 transgene array and mutant presenilin-1 at 15-17 mo (Arendash et al. 2001). In all three studies, probe trials were performed only after extensive training that probably saturated learning and reduced the sensitivity of the test.

Chapman et al. (1999) showed a correlation between working memory in the T-maze and long-term-potentiation (LTP) recorded in vitro in the CA1 and dentate gyrus of the hippocampus of Tg2576 mice. Reductions in LTP recorded in vitro were present in old (16- to 17-month-old) but not young (2- to 8-month-old) mice. However, when hippocampal slices from behaviorally naïve old mice were incubated for several hours in NMDA antagonists prior to recording, LTP in old mice was normal (Fitzjohn et al. 2001; P. Chapman, unpubl.). Taken together, these results suggest increased vulnerability of Tg2576 hippocampal slices to NMDA-mediated excitotoxic damage with age and that in vitro LTP in some circumstances may reflect the susceptibility of Tg2576 hippocampal tissue to the trauma of slice preparation, rather than long-lasting synaptic plasticity. The vulnerability of the tissue appears to increase with worsening cognitive function, accounting for the correlation between working memory and LTP. However, this would not explain the diminution of LTP recorded in vivo in the dentate gyrus of 13- to 15-month-old Tg2576 mice (Chapman et al. 1999). There are several possible reasons for the disparity between in vitro and in vivo LTP results in Tg2576, including the presence of a diffusible factor disrupting cognition that might be diluted in slice preparations, the involvement of modulating afferent pathways to the hippocampus that would be severed in slice preparations, or the contributions of synaptically mediated cerebrovascular responses that would make no contributions in vitro. Of note, in vivo LTP in the dentate gyrus of rats is also diminished following local infusions of Aß43 and Aß40 combined but not of the same doses of peptides separately (Stephan et al. 2001). Because the combination of peptides is more likely to aggregate than either peptide alone, these results support the idea that the formation of aggregated Aß impairs synaptic plasticity.

Molecular Correlates of Memory Loss in APP Transgenic Mice

Multiple studies in APP transgenic mice have supported the idea that memory loss and Aß are related (Hsiao et al. 1995, 1996; Chen et al. 2000; Janus et al. 2000; Morgan et al. 2000; Gordon et al. 2001; Westerman et al., in press). However, there is no consensus about which form of Aß may be responsible. Various forms of Aß, characterized by their aggregation states, are to be found in the brains of APP transgenic mice at different ages (Kawarabayashi et al. 2001). Antibody-based detection methods are the most popular means by which these different forms of Aß are measured, either in situ using immunohistopathological techniques or in detergent-extracted brain tissue assayed by enzyme-linked immunosorbent assay (Kawarabayashi et al. 2001). Although the detergent extractions are enriched for specific Aß species, each fraction potentially contains a mixture of several Aß species.

The first report studying the relationship between memory and Aß showed the onset of spatial reference memory loss (using the Morris water maze) at 9 mo was associated with rising levels of total Aß and the appearance of amyloid deposits in Tg2576 mice (Hsiao et al. 1996). Using a more sensitive and specific water maze protocol, the onset of deficits in Tg2576 mice was subsequently assigned to ~6 mo, coinciding with the appearance of detergent-insoluble Aß aggregates but prior to mature plaque deposition (Westerman et al., in press). TgCRND8 mice show a rapid rise in Aß at 10 wk, probably indicative of the appearance of detergent-insoluble Aß aggregates (Chishti et al. 2001), and show Aß-dependent spatial memory deficits at 11 wk (Janus et al. 2000; Chishti et al. 2001). These findings are consistent with the observation in Tg2576 mice that the earliest changes in memory are associated with the appearance of detergent-insoluble Aß. Genetically accelerating the formation of detergent-insoluble Aß aggregates resulted in an earlier onset of memory loss in Tg2576 mice (Westerman et al., in press), further corroborating this association. Two correlative studies in PDAPP mice and mice bigenic for the mutant presenilin-1 and Tg2576 transgenes showed significant negative correlations between memory and amyloid load (Chen et al. 2000; Gordon et al. 2001). One interpretation of these observations is that memory loss in APP transgenic mice is closely associated with detergent-insoluble Aß aggregates, some of which may be below the threshold of histopathological detection. However, results of investigations of APP transgenic mice across a broader age range argued against such a simple relationship between memory and detergent-insoluble Aß (Westerman et al., in press). This is discussed more thoroughly below.

Two procedures measuring spatial working memory appear to lack the necessary sensitivity to detect changes coinciding with the appearance of detergent-insoluble Aß. Using a working-memory version of the Morris water maze, deterioration in the age-dependent component of working memory in PDAPP mice was first detected at 13-15 mo and not at 6-9 mo (Chen et al. 2000), although a rapid rise in Aß occurred much earlier between 4 and 8 mo (Johnson-Wood et al. 1997). Nor is working memory in Tg2576 mice measured in the radial arm water maze able to detect abnormalities at ~6 mo, the age at which the conversion of detergent-soluble to insoluble Aß first occurs. The earliest reported deficits in radial arm water maze performance were in 15-month-old Tg2576 mice and no deficits were found at 11 mo (Morgan et al. 2000). It is possible that spatial working memory is preserved longer than spatial reference memory and is unrelated to the conversion of detergent-soluble to insoluble Aß in Tg2576 and PDAPP mice. However, mitigating against this possibility is the finding that acquisition of forced alternation in a T-maze task, another test of spatial working memory, detects deficits in Tg2576 mice as early as ~7-8 mo (P. Chapman, unpubl.). It is more likely that the dynamic ranges of the currently used paradigms to measure spatial working memory in the water maze are tuned to reveal more severe age-dependent deficits occurring in older Tg2576 and PDAPP mice but may miss the more subtle abnormalities developing in younger mice.

The hypothesis that memory loss and detergent-insoluble Aß are closely connected breaks down when mice at multiple ages spanning a broad age range are examined. This break down would not have been evident in previous studies examining only one age range (Chen et al. 2000; Gordon et al. 2001). In Tg2576 mice no obvious correspondence between memory and detergent-insoluble Aß was apparent in a combined group of old (21-22 mo) and young (5-6 mo) mice unless the mice were stratified by age, whereupon inverse correlations between memory and detergent-insoluble Aß became evident (Westerman et al., in press). These results suggested that detergent-insoluble Aß is a surrogate marker for small assemblies of Aß that disrupt cognition and occur as intermediates during amyloid plaque formation (Fig. 1). Importantly, detergent-insoluble Aß in some cognitively intact old Tg2576 mice was a hundred to a thousand times higher than in impaired young Tg2576 mice (Westerman et al., in press). Ashe and colleagues concluded that these Aß assemblies reside in the soluble Aß fraction because it would be difficult to explain how some old mice with very high levels of detergent-insoluble Aß could have relatively normal cognitive function otherwise. The idea that soluble Aß species might be responsible for memory deficits in APP transgenic mice was proposed initially to explain how memory loss was more successfully prevented in Aß vaccination studies than plaque deposition (Morgan et al. 2000) or Aß accumulation (Janus et al. 2000) and why PDAPP mice lacking APOE showed dramatically reduced plaque deposition but appeared to have slightly worse memory (Dodart et al. 2000). Taken along with the studies by Ashe and colleagues (Westerman et al., in press), these results challenge the classic amyloid cascade model but are in keeping with in vitro studies showing neurotoxic properties of small Aß assemblies (Roher et al. 1996; Lambert et al. 1998; Hartley et al. 1999; Hsia et al. 1999; Wang et al. 1999; Mucke et al. 2000).


View larger version (13K):
[in this window]
[in a new window]
 
Figure 1:   Model summarizing relationship between memory and Aß in amyloid precursor protein transgenic mice. The hypothetical cascade involves the conversion of monomeric Aß (circles) to small Aß assemblies (stars), which in turn disrupt cognitive function. This contrasts with the classic amyloid cascade hypothesis, in which dementia is believed to result from neuronal destruction associated with amyloid plaques (starbursts). Amyloid load may be a surrogate marker for the cognitively disruptive small Aß assemblies. If so, then it follows that three independent factors influencing amyloid load, namely the duration of disease, the conversion rates between soluble and insoluble Aß, and the degradation rate of insoluble Aß, must be taken into account when selecting subject pools. Doing otherwise could obscure the relationship between amyloid deposition and dementia.

Relevance to Alzheimer's Disease

This idea might also explain a puzzling inconsistency in the relationship between amyloid load and memory in AD. Several early reports showed little or no correlation between amyloid load and dementia (Terry et al. 1991; Arriagada et al. 1992; Berg et al. 1993). More recently, when more sensitive antibody-based methods were used to measure Aß deposits and subject pools that represented a broad range of cognitive impairment were examined, highly significant and robust correlations were found (Cummings et al. 1996; Bartoo et al. 1997; Naslund et al. 2000). In spite of these methodological improvements, however, it has remained difficult to explain why some individuals with high plaque loads are cognitively normal (Katzman et al. 1988; Delaere et al. 1990; Dickson et al. 1992). Some possibilities are that these individuals have greater cognitive reserve or are less susceptible to amyloid plaques. The results of investigations in Tg2576 mice suggested another possibility (Westerman et al., in press). If cognitive decline is due to small Aß assemblies formed during the conversion of detergent-soluble to -insoluble Aß, then certain individuals with low levels of these Aß assemblies could be cognitively intact but would nevertheless accumulate large amounts of deposits or Aßinsol over time. The studies in APP transgenic mice also illustrate how correlations between Aß and memory can be either instructive or potentially misleading (Fig. 2).


View larger version (18K):
[in this window]
[in a new window]
 
Figure 2:   Hypothetical schematic showing the relationship between memory and Aß stratified by age. There is a negative correlation between memory and Aß in mice within each age group (solid regression line). When very large numbers of mice are examined across a broad range of ages, a less robust inverse relationship between memory and Aß may emerge (dashed line). The basis of the latter relationship lies in the gradual shift of the distribution of memory scores in aging mice from higher to lower values.

In conclusion, recent studies of the relationship between memory and Aß in APP transgenic mice suggest that aging promotes the formation of soluble Aß assemblies mediating negative effects on memory. The conditions in the brain promoting assembly of monomeric Aß into oligomeric species are unknown. Although these Aß assemblies disrupting memory have not yet been isolated from brain tissue, they may be related to one or more Aß species that recently have been synthesized and studied in vitro. A significant component of memory loss in APP transgenic mice is apparently caused by soluble Aß assemblies, but whether and how much of the dementia within individuals with AD is caused by these Aß species is not clear. Whether progressive worsening of cognition in Tg2576 and AD is due to accumulation of cognitively disruptive Aß intermediates or to superimposed toxic effects associated with fibrillar Aß and plaque-related neuropathology is unknown.

Conclusion

Since the creation of the first transgenic mice modeling AD twelve years ago, studies of these and subsequently generated mice have provided important information about salient histopathological features of AD. However, until recently the pathogenesis of memory loss in these mice was poorly understood. The major impediment to elucidating the relationship between cognitive function and molecular markers has been the difficulty of distinguishing between age-dependent and age-independent changes in behavior and cognition in APP transgenic mice. The development and analysis in parallel of APP transgenic mice expressing levels of wild-type APP comparable to mutant APP aided in segregating behavioral effects that were not specifically related to mutant APP expression. Refinement of behavioral tests provided the necessary sensitivity and dynamic range to obtain measures of memory ability that mapped well onto post-translational modifications of the leading molecular candidate, Aß. These descriptive characterizations alongwith active Aß immunization studies in APP transgenic micehave shown that Aß is necessary and sufficient to disrupt memory and implicate a cognitively disruptive soluble Aß species.

The hypothesis that small Aß assemblies formed during the conversion of soluble to insoluble Aß cause memory loss helps reconcile conflicting results obtained in investigations of the relationship between amyloid load and dementia in patients with AD. By reconciling the studies showing poor correlations between amyloid load and cognitive status with the Aß hypothesis, the major argument against the role of Aß in the pathogenesis of AD is weakened. However, it is unlikely that non-Aß components in the AD brain exert no effect whatsoever on brain function. Future studies in composite transgenic mice developing amyloid plaques, neurofibrillary tangles, and other AD pathology may allow for the determination of their relative contributions to dementia.


    ACKNOWLEDGMENTS

I thank Marcus Westerman for his insightful intellectual and scientific contributions and Paul Chapman for his helpful critique of this manuscript. Supported by the NIH (AG15453 and NS33249).


    FOOTNOTES

E-MAIL hsiao005{at}umn.edu; FAX (612) 626-2639.

Article and publication are at http://www.learnmem.org/cgi/doi/10.1101/lm.43701.


    REFERENCES
TOP
ABSTRACT
ARTICLE
REFERENCES


LEARNING & MEMORY 8:301-308 © 2001 by Cold Spring Harbor Laboratory Press ISSN1072-0502/01 $5.00

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
FASEB J.Home page
W.-Q. Zhao, F. G. De Felice, S. Fernandez, H. Chen, M. P. Lambert, M. J. Quon, G. A. Krafft, and W. L. Klein
Amyloid beta oligomers induce impairment of neuronal insulin receptors
FASEB J, January 1, 2008; 22(1): 246 - 260.
[Abstract] [Full Text] [PDF]


Home page
J. Exp. Med.Home page
K.-J. Tsai, Y.-C. Tsai, and C.-K. J. Shen
G-CSF rescues the memory impairment of animal models of Alzheimer's disease
J. Exp. Med., June 11, 2007; 204(6): 1273 - 1280.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
H. Oakley, S. L. Cole, S. Logan, E. Maus, P. Shao, J. Craft, A. Guillozet-Bongaarts, M. Ohno, J. Disterhoft, L. Van Eldik, et al.
Intraneuronal beta-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formation
J. Neurosci., October 4, 2006; 26(40): 10129 - 10140.
[Abstract] [Full Text] [PDF]


Home page
Exp. Biol. Med.Home page
I. El Ghazi, B. L. Martin, and I. M. Armitage
Metallothionein-3 is a component of a multiprotein complex in the mouse brain.
Experimental Biology and Medicine, October 1, 2006; 231(9): 1500 - 1506.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
J. S. Jacobsen, C.-C. Wu, J. M. Redwine, T. A. Comery, R. Arias, M. Bowlby, R. Martone, J. H. Morrison, M. N. Pangalos, P. H. Reinhart, et al.
Early-onset behavioral and synaptic deficits in a mouse model of Alzheimer's disease
PNAS, March 28, 2006; 103(13): 5161 - 5166.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
E. H. Chang, M. J. Savage, D. G. Flood, J. M. Thomas, R. B. Levy, V. Mahadomrongkul, T. Shirao, C. Aoki, and P. T. Huerta
AMPA receptor downscaling at the onset of Alzheimer's disease pathology in double knockin mice
PNAS, February 28, 2006; 103(9): 3410 - 3415.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
M. I. Fonseca, J. Zhou, M. Botto, and A. J. Tenner
Absence of C1q Leads to Less Neuropathology in Transgenic Mouse Models of Alzheimer's Disease
J. Neurosci., July 21, 2004; 24(29): 6457 - 6465.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
S. Middei, R. Geracitano, A. Caprioli, N. Mercuri, and M. Ammassari-Teule
Preserved Fronto-Striatal Plasticity and Enhanced Procedural Learning in a Transgenic Mouse Model of Alzheimer's Disease Overexpressing Mutant hAPPswe
Learn. Mem., July 1, 2004; 11(4): 447 - 452.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
C. Janus
Search Strategies Used by APP Transgenic Mice During Navigation in the Morris Water Maze
Learn. Mem., May 1, 2004; 11(3): 337 - 346.
[Abstract] [Full Text] [PDF]


Home page
Learn. Mem.Home page
K. A. Corcoran, Y. Lu, R. S. Turner, and S. Maren
Overexpression of hAPPswe Impairs Rewarded Alternation and Contextual Fear Conditioning in a Transgenic Mouse Model of Alzheimer's Disease
Learn. Mem., September 1, 2002; 9(5): 243 - 252.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ashe, K. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ashe, K. H.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg