The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Altered Hippocampal Transcript Profile Accompanies an Age-Related Spatial Memory Deficit in Mice
Open accessAbstract
We have carried out a global survey of age-related changes in mRNA levels in the C57BL/6NIA mouse hippocampus and found a difference in the hippocampal gene expression profile between 2-month-old young mice and 15-month-old middle-aged mice correlated with an age-related cognitive deficit in hippocampal-based explicit memory formation. Middle-aged mice displayed a mild but specific deficit in spatial memory in the Morris water maze. By using Affymetrix GeneChip microarrays, we found a distinct pattern of age-related change, consisting mostly of gene overexpression in the middle-aged mice, suggesting that the induction of negative regulators in the middle-aged hippocampus could be involved in impairment of learning. Interestingly, we report changes in transcript levels for genes that could affect synaptic plasticity. Those changes could be involved in the memory deficits we observed in the 15-month-old mice. In agreement with previous reports, we also found altered expression in genes related to inflammation, protein processing, and oxidative stress.
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“accumulated pro-inflammation and oxidative stress in the brain, which is often observed in aged brains and aged microglia (90–94), could cause sustained suppression of Trem2 expression and thus an impairment of TREM2-dependent microglial functions.”
From Trem2 promotes anti-inflammatory responses in microglia and is suppressed under pro-inflammatory conditions (2020) · cites this paper as [93]
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Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Place navigation impaired in rats with hippocampal lesions
Morris, R. G. M., Garrud, P., Rawlins, J. N. P., & O'Keefe, J. (1982) · Nature · doi:10.1038/297681a0 · Cited by 6,340
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Controlling the false discovery rate in behavior genetics research
Benjamini, Y., Drai, D., Elmer, G., Kafkafi, N., & Golani, I. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00297-2 · Cited by 4,146
The human hippocampus and spatial and episodic memory
Burgess, N., Maguire, E. A., & O'Keefe, J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00830-9 · Cited by 2,401
The cholinergic hypothesis of Alzheimer’s disease: A review of progress
Francis, P. T., Palmer, A. M., Snape, M., & Wilcock, G. K. (1999) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.66.2.137 · Cited by 2,198 · cited 2×
“A cholinergic deficit is observed in AD (Francis et al. 1999) and is also believed to play a role in the memory decline seen in normal aging (Decker 1987; Casu et al. 2002) and in modulating LTP (Ji et al. 2001).”
BackgroundIron accumulation in Alzheimer disease is a source of redox-generated free radicals
Smith, M. A., Harris, P. L. R., Sayre, L. M., & Perry, G. L. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.18.9866 · Cited by 1,365
Differences in the pattern of hippocampal neuronal loss in normal ageing and Alzheimer's disease
West, M. J., Coleman, P. D., Flood, D. G., & Troncoso, J. C. (1994) · The Lancet · doi:10.1016/s0140-6736(94)92338-8 · Cited by 1,267 · cited 1×
“There is now considerable evidence supporting the view that normal age-related memory deficits can be caused by functional changes, without the occurrence of major structural alterations such as neuronal loss (West et al. 1994; Rapp et al. 2002).”
BackgroundGene-expression profile of the ageing brain in mice
Lee, C.-K., Weindruch, R., & Prolla, T. A. (2000) · Nature Genetics · doi:10.1038/77046 · Cited by 1,055
Functional requirement for class I MHC in CNS development and plasticity
Huh, G. S., Boulanger, L. M., Du, H., Riquelme, P. A., Brotz, T. M., & Shatz, C. J. (2000) · Science · doi:10.1126/science.290.5499.2155 · Cited by 828
Research works printed but not linked: 8
- 2002, J. Nutr. Health Aging, 6, 136
- 1993, Nutr. Rev., 51, 157
- 1995, J. Neurol. Sci., 134, 33
- 1987, Brain Res., 434, 423
- 2002, Pac. Symp. Biocomput., 7, 474
- 1996, Physiol. Behav., 60, 611
- 1972, Psychologie Française, 17, 175
- 1998, News Physiol. Sci., 13, 118
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Human umbilical cord plasma proteins revitalize hippocampal function in aged mice
Castellano, J. M., Mosher, K. I., Abbey, R. J., McBride, A. A., James, M. L., Berdnik, D., Shen, J. C., Zou, B., Xie, X. S., Tingle, M., et al. (2017) · Nature · doi:10.1038/nature22067 · Cited by 445
AGEMAP: A Gene Expression Database for Aging in Mice
Zahn, J. M., Poosala, S., Owen, A. B., Ingram, D. K., Lustig, A., Carter, A., Weeraratna, A. T., Taub, D. D., Gorospe, M., Mazan-Mamczarz, K., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030201 · Cited by 431
CircRNA accumulation in the aging mouse brain
Gruner, H. N., Cortés-López, M., Cooper, D. A., Bauer, M. J., & Miura, P. (2016) · Scientific Reports · doi:10.1038/srep38907 · Cited by 366
Targeting the correct HDAC(s) to treat cognitive disorders
Fischer, A., Sananbenesi, F., Mungenast, A. E., & Tsai, L. (2010) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2010.09.003 · Cited by 365
Metadata
- Authors
- Verbitsky, M., Yonan, A. L., Malleret, G., Kandel, E. R., Gilliam, T. C., & Pavlidis, P.
- Affiliations
- Howard Hughes Medical Institute (US)
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2004-05
- Volume
- 11
- Issue
- 3
- Pages
- 253-260
- ISSN
- 1072-0502 (ISSN-L)
- 1549-5485
- PMC
- PMC419727
- OpenAlex
- W2039296833
- Cited by
- 158
- References
- 72
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 10 · 2022: 6 · 2021: 12 · 2020: 4 · 2019: 9 · 2018: 5 · 2017: 10 · 2016: 4 · 2015: 7 · 2014: 6 · 2013: 9 · 2012: 11
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Learning & Memory (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- hippocampus, aging, spatial memory, gene expression profiles, declarative memory, synaptic plasticity, inflammation, oxidative stress, protein processing, learning disabilities, age-related cognitive decline
- MeSH terms
- Aging, Animals, Discrimination Learning, Gene Expression Regulation, Hippocampus, Learning Disabilities, Memory Disorders, Mice, Inbred C57BL, RNA, Messenger, Space Perception, Spatial Behavior, Maze Learning, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Mice
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