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Synaptic slaughter in Alzheimer's disease
Abstract
Synaptic loss is currently established as the best neurobiological correlate of the cognitive deficits of Alzheimer's disease (AD) [Ann. Neurol. 27 (1990) 457; Ann. Neurol. 30 (1991) 572]. We provide evidence that still living neurons lose synapses in AD, in addition to the synapse loss due to death of neurons. We also provide evidence indicating that in addition to loss of synapses, synaptic function is also affected in AD by decrements in transcript species related to synaptic vesicle trafficking.
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“Synapses have long been viewed as critical sites of AD pathology [6, 28, 112, 119, 168] and diverse evidence had supported that synapses are major sites of Aβ pathology and also generation.”
From Intraneuronal β-amyloid accumulation and synapse pathology in Alzheimer’s disease (2010) · cites this paper as [28]
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Cites
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397
Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
DeKosky, S. T., & Scheff, S. W. (1990) · Annals of Neurology · doi:10.1002/ana.410270502 · Cited by 2,376
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×
“[19].”
Self-citationNeuron numbers and dendritic extent in normal aging and Alzheimer’s disease
Coleman, P. D., & Flood, D. G. (1987) · Neurobiology of Aging · doi:10.1016/0197-4580(87)90127-8 · Cited by 772
Self-citationBraak, F., Braak, H., & Mandelkow, E. (1994) · Acta Neuropathologica · doi:10.1007/bf00293315 · Cited by 769
The molecular machinery for secretion is conserved from yeast to neurons.
Bennett, M. K., & Scheller, R. H. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.7.2559 · Cited by 650
A cDNA that suppresses MPP+ toxicity encodes a vesicular amine transporter
Liu, Y. (1992) · Cell · doi:10.1016/0092-8674(92)90425-c · Cited by 589
Dendritic Growth in the Aged Human Brain and Failure of Growth in Senile Dementia
Buell, S. J., & Coleman, P. D. (1979) · Science · doi:10.1126/science.493989 · Cited by 475
Self-citationQuantitative assessment of cortical synaptic density in Alzheimer's disease
Scheff, S. W., DeKosky, S. T., & Price, D. A. (1990) · Neurobiology of Aging · doi:10.1016/0197-4580(90)90059-9 · Cited by 446
Tebar, F., Bohlander, S. K., & Sorkin, A. (1999) · Molecular Biology of the Cell · doi:10.1091/mbc.10.8.2687 · Cited by 320
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Hasan, B., Ayesha, K., Lenz, C., Asif, A. R., & Ahmed, N. (2021) · Scientific Reports · doi:10.1038/s41598-021-93356-9
Tanzi, R. E. (2008) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.1124019.581131
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Metadata
- Authors
- Coleman, P.
- Affiliations
- University of Rochester Medicine (US)
- Corresponding author
- Coleman, P
- ORCID
- Coleman, P
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 24
- Issue
- 8
- Pages
- 1023-1027
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2064958479
- Semantic Scholar
- 77e9e8cc8ce12ecde05b085bcbaec565839f6b3e
- Cited by
- 351
- References
- 19
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 11 · 2023: 9 · 2022: 8 · 2021: 16 · 2020: 12 · 2019: 13 · 2018: 25 · 2017: 15 · 2016: 19 · 2015: 15 · 2014: 20 · 2013: 32 · 2012: 21
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ag014441-05)
- National Institute on Aging (AG 14441)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, synaptic loss, synaptic pruning, neuronal cell death, synaptic function, synaptic vesicle trafficking, cognitive impairment
- MeSH terms
- Alzheimer Disease, Animals, Humans, Nerve Degeneration, Nerve Tissue Proteins, Synapses, Synaptic Vesicles, Neurofibrillary Tangles, Gene Expression Profiling, Protein Transport
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