Clinicopathologic Studies in Cognitively Healthy Aging and Alzheimer Disease: Relation of Histologic Markers to Dementia Severity, Age, Sex, and Apolipoprotein E Genotype
Abstract
OBJECTIVE: To study differences between subjects with Alzheimer disease (AD) and cognitively intact control subjects, with respect to brain histologic markers of AD, and the relationship of those markers in the AD group to severity of dementia, age at death, sex, and apolipoprotein E genotype. SETTING: Washington University Alzheimer's Disease Research Center, St Louis, Mo. DESIGN AND SUBJECTS: Consecutive neuropathologic series of 224 prospectively studied volunteer research subjects, 186 with dementia of the Alzheimer type (DAT) or "incipient" DAT and confirmed to have AD by postmortem examination and 13 cognitively intact subjects, confirmed to lack postmortem findings of AD. MAIN OUTCOME MEASURES: Brain densities (number per square millimeter) of senile plaques and neurofibrillary tangles, extent of cerebral amyloid angiopathy, cortical Lewy bodies, and apolipoprotein E genotype. RESULTS: Neocortical neurofibrillary tangle densities were substantially correlated with dementia severity, and to a greater degree than was true for senile plaque densities. When infarcts, hemorrhages, and Parkinson disease changes coexisted with AD, neurofibrillary tangle and senile plaque densities were lower. Plaque-predominant AD was found in a greater proportion of subjects with milder than more severe dementia. Entorhinal cortical Lewy bodies were no more frequent in plaque-predominant AD than in the remaining AD cases. Increasing age at death was negatively correlated with dementia severity and densities of senile plaques and neurofibrillary tangles. The apolipoprotein E epsilon4 allele frequency was greater in AD than in control subjects but decreased with increasing age. After controlling for dementia severity, senile plaque densities were only weakly related to epsilon4 allele frequency, and only in hippocampus. However, the degree of cerebral amyloid angiopathy was clearly related to epsilon4 allele frequency. Among subjects diagnosed during life as having DAT or incipient DAT, only 7% were found to have a neuropathologic disorder other than AD causing their dementia. CONCLUSIONS: (1) The order of the strength of relationships between densities of histologic markers and dementia severity in AD is neurofibrillary tangles greater than cored senile plaques greater than total senile plaques. (2) Advanced age at death is associated with somewhat less severe dementia and fewer senile plaques and neurofibrillary tangles. (3) Plaque-predominant AD may represent a developmental stage in AD. (4) Despite a substantial effect of apolipoprotein E epsilon4 as a risk factor for AD, on decreasing the age at AD onset, and increasing the amount of cerebral amyloid angiopathy, its effect on senile plaque densities is variable and complex, being confounded with age, dementia severity, and methodologic differences. (5) Stringent clinical diagnostic criteria for DAT, even in the very mild stage, and senile plaque-based neuropathologic criteria for AD are highly accurate.
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The conjecture that excess temporal neocortex metabolic reduction in E4 carriers is related to increased β-amyloid deposition is supported by the increased predilection in early AD for β-amyloid to accumulate in the neocortex rather than the hippocampal formation and by reductions in METglu observed in transgenic mouse models overproducing amyloid.
“This conjecture is supported further by the increased predilection in early AD for β-amyloid to accumulate in the neocortex rather than the hippocampal formation (2, 6) and by reductions in METglu observed in transgenic mouse models overproducing amyloid (44).”
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Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
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Self-citationAge, Neuropathology, and Dementia
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<i>APOE</i> predicts amyloid‐beta but not tau Alzheimer pathology in cognitively normal aging
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“…to correlate amyloid plaques with the cognitive deficits seen in AD (Blessed et al., 1968; Tomlinson et al., 1970; Duyckaerts et al., 1990, 1998; Berg et al., 1998; Gold et al., 2000; Mungas et al., 2001; Tiraboschi et al., 2002, 2004; Guillozet et al., 2003; Kraybill et al., 2005; Holtzer et…”
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Organ aging signatures in the plasma proteome track health and disease
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Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD
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Self-citationAmyloid, hypometabolism, and cognition in Alzheimer disease: An [11C]PIB and [18F]FDG PET study
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Cardiorespiratory fitness and brain atrophy in early Alzheimer disease.
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“Cognitive status was determined annually in accordance with standard protocols and criteria.(18,19) A Clinical Dementia Rating (CDR)(20) of 0 (n 69) indicated no dementia, whereas CDRs of 0.”
MethodSelf-citationPIB is a non-specific imaging marker of amyloid-beta (A ) peptide-related cerebral amyloidosis
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Apolipoprotein E–dependent accumulation of Alzheimer disease–related lesions begins in middle age
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Effect of<i>APOE</i>genotype on amyloid plaque load and gray matter volume in Alzheimer disease
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Diabetes is associated with cerebrovascular but not Alzheimer's disease neuropathology
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Self-citationMixed Dementia—the Most Common Cause of Dementia
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Dendritic Spine Pathology in Neurodegenerative Diseases
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Aβ-amyloid and Tau Imaging in Dementia
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C9orf72 Hexanucleotide Repeat Expansions in Clinical Alzheimer Disease
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Manaye, K. F., Mouton, P. R., Xu, G., Drew, A., Lei, D.-L., Sharma, Y., Rebeck, G. W., & Turner, S. (2013) · AGE · doi:10.1007/s11357-011-9343-0 · Cited by 54 · see citing works
“End-Stage” Neurofibrillary Tangle Pathology in Preclinical Alzheimer's Disease: Fact or Fiction?
Abner, E. L., Kryscio, R. J., Schmitt, F. A., SantaCruz, K. S., Jicha, G. A., Lin, Y., Neltner, J. M., Smith, C. D., Van Eldik, L. J., & Nelson, P. T. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101980 · Cited by 49 · see citing works
Predictors of Preclinical Alzheimer Disease and Dementia: A Clinicopathologic Study
Galvin, J. E., Powlishta, K. K., Wilkins, K., McKeel, D. W., Xiong, C., Grant, E., Storandt, M., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.5.758 · Cited by 2 · see citing works
Self-citation
- Authors
- Berg, L., McKeel, D. W., Miller, J. P., Storandt, M., Rubin, E. H., Morris, J. C., Baty, J., Coats, M., Norton, J., Goate, A. M., Price, J. L., Gearing, M., Mirra, S. S., & Saunders, A. M.
- Affiliations
- Washington University in St. Louis (US)
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 1998-03-01
- Volume
- 55
- Issue
- 3
- Pages
- 326
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W1972340735
- Semantic Scholar
- d2f7c7a3c16b4b289f3c3ff65621f74384dd4be5
- Cited by
- 657
- References
- 93
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 10 · 2023: 6 · 2022: 14 · 2021: 12 · 2020: 10 · 2019: 11 · 2018: 8 · 2017: 18 · 2016: 18 · 2015: 26 · 2014: 36 · 2013: 30 · 2012: 33
- FWCI
- 15.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (AG03991, AG 05681, AG-00634, P50AG005681, P01AG003991)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, amyloid plaques, neurofibrillary tangles, cerebral amyloid angiopathy, Lewy bodies, APOE ε4, dementia severity, age at death, hippocampus, entorhinal cortex, Parkinson's disease, neuropathology, cognitive aging, postmortem brain examination, apolipoprotein E
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Apolipoproteins E, Brain, Cognition, Female, Genotype, Humans, Longitudinal Studies, Male, Organ Size, Prospective Studies, Neurofibrillary Tangles, Apolipoprotein E4, 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.
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