Genetic increase in brain-derived neurotrophic factor levels enhances learning and memory
Abstract
Brain-derived neurotrophic factor (BDNF), a neurotrophin, is known to promote neuronal differentiation stimulating neurite outgrowth in the developing CNS, and is also known to modulate synaptic plasticity, thereby contributing to learning and memory in the mature brain. Here, we investigated the role of increased levels of intracerebral BDNF in learning and memory function. Using genetically engineered transgenic BDNF overexpressing mice (RTG-BDNF), young adult, homozygous (+/+), heterozygous (+/-), or wild-type (-/-) littermates, we analyzed escape latency to a hidden-platform and swimming velocity in the Morris Water Maze test (MWM) with modifications for the mice. The MWM comprised 4 trials per day over 5 consecutive days (sessions) without prior or subsequent training. In a separate set of animals, BDNF protein levels in the cortex, thalamostriatum and the hippocampus were measured quantitatively using ELISA. In the BDNF (+/-) mice, the BDNF levels in the cortex, the thalamostriatum and the hippocampus were significantly high, compared to the wild-type littermates; 238%, 158%, and 171%, respectively (P<0.01, one-way ANOVA and a post-hoc test in each region). The BDNF levels in the BDNF (+/+) mice were not elevated. The BDNF (+/-), but not the (+/+) mice, demonstrated significantly shorter escape latency, shorter total path length in the MWM, and more frequent arrivals at the location where the platform had been placed previously in the probe trial, compared with the wild…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
New axo-dendritic connections formed in this way are instrumental in learning and memory in the mature brain.
“New axo-dendritic connections formed in this way are instrumental in learning and memory in the mature brain [108].”
From Rlip76: An Unexplored Player in Neurodegeneration and Alzheimer’s Disease? (2022) · cites this paper as [108]
Cites
Neurotrophins as synaptic modulators
Poo, M.-M. (2001) · Nature Reviews Neuroscience · doi:10.1038/35049004 · Cited by 1,775 · see citing works
Extrasynaptic NMDARs oppose synaptic NMDARs by triggering CREB shut-off and cell death pathways
Hardingham, G. E., Fukunaga, Y., & Bading, H. (2002) · Nature Neuroscience · doi:10.1038/nn835 · Cited by 1,686 · see citing works
Protein synthesis and neurotrophin-dependent structural plasticity of single dendritic spines
Tanaka, J.-I., Horiike, Y., Matsuzaki, M., Miyazaki, T., Ellis-Davies, G. C. R., & Kasai, H. (2008) · Science · doi:10.1126/science.1152864 · Cited by 615 · see citing works
Learning deficit in BDNF mutant mice.
Linnarsson, S., Björklund, A., & Ernfors, P. (1997) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1997.tb01687.x · Cited by 471 · see citing works
Jin, X., Hu, H., Mathers, P. H., & Agmon, A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-13-05662.2003 · Cited by 137 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Yang, L.-C., Zhang, Q.-G., Zhou, C.-F., Yang, F., Zhang, Y.-D., Wang, R.-M., & Brann, D. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009851 · Cited by 163 · see citing works
BDNF signaling during the lifetime of dendritic spines
Zagrebelsky, M., Tacke, C., & Korte, M. (2020) · Cell and Tissue Research · doi:10.1007/s00441-020-03226-5 · Cited by 147 · see citing works
Mice with altered BDNF signaling as models for mood disorders and antidepressant effects
Lindholm, J. S. O., & Castrén, E. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00143 · Cited by 114 · see citing works
Rlip76: An Unexplored Player in Neurodegeneration and Alzheimer’s Disease?
Hindle, A., Singh, S. P., Pradeepkiran, J. A., Bose, C., Vijayan, M., Kshirsagar, S., Sawant, N. A., & Reddy, P. H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116098 · Cited by 14 · see citing works
- Authors
- Nakajo, Y., Miyamoto, S., Nakano, Y., Xue, J.-H., Hori, T., & Yanamoto, H.
- Affiliations
- National Cerebral and Cardiovascular Center (JP)
- Rakuwakai Otowa Hospital (JP)
- Chinese PLA General Hospital (CN)
- Corresponding author
- Yanamoto, Hiroji
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 1241
- Pages
- 103-109
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W2064479425
- Cited by
- 62
- References
- 5
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 3 · 2019: 5 · 2018: 3 · 2017: 7 · 2016: 2 · 2015: 6 · 2014: 3 · 2013: 7 · 2012: 2
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Cardiovascular Research Foundation
- Ministry of Education, Culture, Sports, Science and Technology
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Nerve injury and regeneration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- brain-derived neurotrophic factor, BDNF overexpression, transgenic mice, spatial learning and memory, Morris water maze, hippocampus, cortex, escape latency, swimming speed, synaptic plasticity
- MeSH terms
- Animals, Behavior, Animal, Brain, Brain Chemistry, Cell Differentiation, Cell Survival, Learning, Memory, Memory Disorders, Mice, Transgenic, Neuronal Plasticity, Neuropsychological Tests, Up-Regulation, Prosencephalon, Mice, Knockout, Maze Learning, Brain-Derived Neurotrophic Factor, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review