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β-amyloid deposition and other measures of neuropathology predict cognitive status in Alzheimer's disease
Abstract
The relationship between progressive cognitive decline and underlying neuropathology associated with Alzheimer s disease (AD) is a key issue in defining the mechanisms responsible for functional loss. This has been a subject of much controversy, with separate studies comparing various clinical and neuropathological indices in AD. Further, it is difficult to compare studies with differences in histochemical staining protocols, brain regions examined, and data quantification criteria. There are many difficulties in designing a clinical-pathological correlative study involving AD patients. It is necessary to control for several key parameters. For example, a broad range of cognitively impaired subjects is needed, as well as short postmortem delays, brief intervals between cognitive testing and death, and the most sensitive detection and quantification techniques. In this study, we carefully controlled for each of these parameters to determine if there is a relationship between global cognitive dysfunction and multiple neuropathological indices. We selected 20 individuals representing a broad range of cognitive ability from normal to severely impaired based on the MMSE, Blessed IMC, and CDR. We counted plaque number, NFT number, dystrophic neurite number, and the relative extent of thioflavine positive plaques and neuritic involvement within plaques. We also quantified cortical area occupied by beta-amyloid immunoreactivity (A beta Load) and PHF-1 positive neuropil threads and tangles (PHF Load) using computer-based image analysis. Interestingly, we found that most pathologic measures correlated highly with the severity of dementia. However, the strongest predictor of premortem cognitive dysfunction on all three cognitive measures was the relative area of entorhinal cortex occupied by beta-amyloid deposition. In conclusion, our data show that in a carefully controlled correlative study, a variety of neuropathological variables are strongly correlated with cognitive impairment. Plaque related variables may be as strongly related to cognitive dysfunction as other established measures, including synapse loss, cell death and tau hyperphosphorylation, although no correlative study can demonstrate causality.
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“On the other hand, numerous studies have documented a strong link between neocortical NFTs and cognitive loss[26, 46, 48, 97, 123, 160, 169].”
From Alzheimer's disease: experimental models and reality (2017) · cites this paper as [26]
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Cummings, B. J., Pike, C. J., & Cotman, C. W. (1996) · Neurobiology of Aging · doi:10.1016/s0197-4580(96)00171-6
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Metadata
- Authors
- Cummings, B. J., Pike, C. J., Shankle, R., & Cotman, C. W.
- Affiliations
- Harvard University (US)
- University of California, Irvine (US)
- Corresponding author
- Cummings, Brian J.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 17
- Issue
- 6
- Pages
- 921-933
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W1965670935
- Semantic Scholar
- d4767e9aeafe1a281d2d104b625b21f69baea151
- Cited by
- 305
- References
- 100
- Citations by year
- 2025: 2 · 2024: 7 · 2023: 4 · 2021: 7 · 2020: 3 · 2019: 6 · 2018: 6 · 2017: 3 · 2016: 8 · 2015: 6 · 2014: 6 · 2013: 10 · 2012: 9
- FWCI
- 8.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ag013007-05)
- University of California, Irvine
- National Institute on Aging (AG-13007, AG 00538, P50-AG05142, P50AG005142)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, amyloid-beta deposition, neuropathology, cognitive impairment, dementia severity, amyloid plaques, neurofibrillary tangles, entorhinal cortex, neuropil threads, PHF1, dystrophic neurites, clinicopathological correlation, postmortem delay
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cell Count, Female, Fluorescent Dyes, Humans, Image Processing, Computer-Assisted, Immunohistochemistry, Male, Thiazoles, Amyloid beta-Peptides, Neurofibrillary Tangles, Entorhinal Cortex, Neurobehavioral Manifestations, Benzothiazoles, Plaque, Amyloid
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 ›
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