The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Age‐dependent cognitive decline in the APP23 model precedes amyloid deposition
Abstract
Heterozygous APP23 mice, expressing human amyloid‐precursor protein with the Swedish double mutation and control littermates, were subjected to behavioral and neuromotor tasks at the age of 6–8 weeks, 3 and 6 months. A hidden‐platform Morris‐type water maze showed an age‐dependent decline of spatial memory capacities in the APP23 model. From the age of 3 months onwards, the APP23 mice displayed major learning and memory deficits as demonstrated by severely impaired learning curves during acquisition and impaired probe trial performance. In addition to the cognitive deficit, APP23 mice displayed disturbed activity patterns. Overnight cage‐activity recording showed hyperactivity in the transgenics for the three age groups tested. However, a short 2‐h recording during dusk phase demonstrated lower activity levels in 6‐month‐old APP23 mice as compared to controls. Moreover, at this age, APP23 mice differed from control littermates in exploration and activity levels in the open‐field paradigm. These findings are reminiscent of disturbances in circadian rhythms and activity observed in Alzheimer patients. Determination of plaque‐associated human amyloid‐β 1–42 peptides in brain revealed a fivefold increase in heterozygous APP23 mice at 6 months as compared to younger transgenics. This increase coincided with the first appearance of plaques in hippocampus and neocortex. Spatial memory deficits preceded plaque formation and increase in plaque‐associated amyloid‐β 1–42 peptides, but probe trial performance did correlate negatively with soluble amyloid‐β brain concentration in 3‐month‐old APP23 mutants. Detectable plaque formation is not the (only) causal factor contributing to memory defects in the APP23 model.
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Cites
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology
Sturchler-Pierrat, C., Abramowski, D., Duke, M., Wiederhold, K.-H., Mistl, C., Rothacher, S., Ledermann, B., Bürki, K., Frey, P., Paganetti, P. A., et al. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.24.13287 · Cited by 1,507
Self-citationChishti, M. A., Yang, D.-S., Janus, C., Phinney, A. L., Horne, P., Pearson, J., Strome, R., Zuker, N., Loukides, J., French, J., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m100710200 · Cited by 955
Cited by
Dendritic Function of Tau Mediates Amyloid-β Toxicity in Alzheimer's Disease Mouse Models
Ittner, L. M., Ke, Y. D., Delerue, F., Bi, M., Gladbach, A., van Eersel, J., Wölfing, H., Chieng, B. C., Christie, M. J., Napier, I. A., et al. (2010) · Cell · doi:10.1016/j.cell.2010.06.036 · Cited by 1,821
Self-citationSynaptic Targeting by Alzheimer's-Related Amyloid β Oligomers
Lacor, P. N., Buniel, M. C., Chang, L., Fernandez, S. J., Gong, Y., Viola, K. L., Lambert, M. P., Velasco, P. T., Bigio, E. H., Finch, C. E., et al. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3432-04.2004 · Cited by 954
Webster, S. J., Bachstetter, A. D., Nelson, P. T., Schmitt, F. A., & Van Eldik, L. J. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00088 · Cited by 755
“These aggressive disruptions appear to develop later than the onset of cognitive deficits in this model (Kelly et al., 2003; Van Dam et al., 2003; Vloeberghs et al., 2006).”
BackgroundHe, P., Zhong, Z., Lindholm, K., Berning, L., Lee, W., Lemere, C., Staufenbiel, M., Li, R., & Shen, Y. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200705042 · Cited by 390
Self-citationAlzheimer disease models and human neuropathology: similarities and differences
Duyckaerts, C., Potier, M.-C., & Delatour, B. (2008) · Acta Neuropathologica · doi:10.1007/s00401-007-0312-8 · Cited by 375
Metadata
- Authors
- Van Dam, D., D'Hooge, R., Staufenbiel, M., Van Ginneken, C., Van Meir, F., & De Deyn, P. P.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 17
- Issue
- 2
- Pages
- 388-396
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2042794149
- Cited by
- 296
- References
- 4
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Van Dam, D., D'Hooge, R., Staufenbiel, M., Van Ginneken, C., Van Meir, F., & De Deyn, P. P. (2003). Age‐dependent cognitive decline in the APP23 model precedes amyloid deposition. European Journal of Neuroscience. https://doi.org/10.1046/j.1460-9568.2003.02444.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.