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APOE predicts amyloid‐beta but not tau Alzheimer pathology in cognitively normal aging
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Objective: To examine interactions of apolipoprotein E ( APOE) genotype with age and with in vivo measures of preclinical Alzheimer disease (AD) in cognitively normal aging. Methods: Two hundred forty‐one cognitively normal individuals, aged 45–88 years, had cerebral amyloid imaging studies with Pittsburgh Compound‐B (PIB). Of the 241 individuals, 168 (70%) also had cerebrospinal fluid (CSF) assays of amyloid‐beta 42 (Aβ 42 ), tau, and phosphorylated tau (ptau 181 ). All individuals were genotyped for APOE . Results: The frequency of individuals with elevated mean cortical binding potential (MCBP) for PIB rose in an age‐dependent manner from 0% at ages 45–49 years to 30.3% at 80–88 years. Reduced levels of CSF Aβ 42 appeared to begin earlier (18.2% of those aged 45–49 years) and increase with age in higher frequencies (50% at age 80–88 years) than elevations of MCBP. There was a gene dose effect for the APOE4 genotype, with greater MCBP increases and greater reductions in CSF Aβ 42 with increased numbers of APOE4 alleles. Individuals with an APOE2 allele had no increase in MCBP with age and had higher CSF Aβ 42 levels than individuals without an APOE2 allele. There was no APOE4 or APOE2 effect on CSF tau or ptau 181 . Interpretation: Increasing cerebral Aβ deposition with age is the pathobiological phenotype of APOE4 . The biomarker sequence that detects Aβ deposition may first be lowered CSF Aβ 42 , followed by elevated MCBP for PIB. A substantial proportion of cognitively normal individuals have presumptive preclinical AD. ANN NEUROL 2010;67:122–131
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“The association of the APOE4 isoform with amyloid deposition has been well established in human studies, where APOE4 carriers exhibit higher A β plaque burden and earlier onset of amyloid positivity compared with non-carriers 35 -37 .”
From APOE2 attenuates APOE4-associated amyloid pathology and related toxicity in a mouse model of Alzheimer’s disease (2026) · cites this paper as [36]
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“APOE status has been found to modulate the onset of extracellular amyloid plaque deposition, one of the key pathognomonic features of the disease (6, 7).”
From Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance (2011) · cites this paper as [7]
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“On the basis of previous studies (7, 27), individuals with mean cortical binding potential (MCBP) for PIB >0.18 were considered PIB-positive (PIB+).”
From Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance (2011) · cites this paper as [7]
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“Given that a CSF Aβ42 concentration lower than 500 pg/mL has been utilized as a reliable threshold for the presence of cerebral Aβ deposition in humans (7, 19, 22, 26)”
From Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance (2011) · cites this paper as [7]
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“Increasing age and ApoE genetic background are the strongest known risk factors for AD and plaque load (33, 48); thus it was critical that these parameters were controlled.”
From Serotonin signaling is associated with lower amyloid-β levels and plaques in transgenic mice and humans (2011) · cites this paper as [33]
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“Sex differences in Aβ burden alone have not been reported in older adults,11–13”
From Sex Differences in the Association of Global Amyloid and Regional Tau Deposition Measured by Positron Emission Tomography in Clinically Normal Older Adults (2019) · cites this paper as [13]
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“Previous cross-sectional studies indicate that Aβ42 levels decrease in the CSF as Aβ starts to accumulate, before fibrillar plaques can be detected with PET7–11.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [11]
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Littell, R. C. (1996) · Medical Entomology and Zoology · Cited by 10,345
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Self-citationCorder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
Strittmatter, W. J., Saunders, A. M., Schmechel, D., Pericak-Vance, M., Enghild, J., Salvesen, G. S., & Roses, A. D. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.1977 · Cited by 4,268
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Blennow, K., de Leon, M. J., & Zetterberg, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69113-7 · Cited by 3,134
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Miralbell, J., Spulber, G., Hooshmand, B., Besga, A., Mataró, M., Cedazo-Mı́nguez, Á., Kivipelto, M., & Wahlund, L. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111553 · Cited by 3
At the crossroads of preclinical AD and normal brain ageing
Okonkwo, O. C. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70207-8 · Cited by 3
Robert, J., Cheng, W. H., Hayat, A., Ward-Able, T., & Wellington, C. L. (2015) · Clinical Lipidology · doi:10.2217/clp.14.64 · Cited by 3
Neuropathology of HIV-1 Disease
Soontornniyomkij, V. (2017) · Springer eBooks · doi:10.1007/978-1-4939-7290-6_8 · Cited by 3
Amyloid Imaging in Dementia and Neurodegenerative Disease
Ponisio, M. R., Iranpour, P., & Benzinger, T. L. S. (2021) · Springer eBooks · doi:10.1007/978-3-030-82367-2_11 · Cited by 4
Theta band-power shapes amyloid-driven longitudinal EEG changes in pre-clinical Alzheimer’s DiseasePreprint
Spinelli, G., Bakardjian, H., Schwartz, D., Potier, M., Habert, M., Lévy, M., Dubois, B., & George, N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.04.479130 · Cited by 3
Aschenbrenner, A. J., Jackson, J. J., & Hassenstab, J. J. (2023) · doi:10.31234/osf.io/synrd · Cited by 3
Naturalistic Assessment of Reaction Time Variability in Older Adults at Risk for Alzheimer DiseasePreprint
Welhaf, M., Aschenbrenner, A. J., Wilks, H., & Hassenstab, J. J. (2023) · doi:10.31234/osf.io/j7ed2 · Cited by 3
Seo, D., Lee, C. M., Apio, C., Heo, G., Timsina, J., Kohlfeld, P., Boada, M., Orellana, A., Fernández, M. V., Ruiz, A., et al. (2024) · medRxiv · doi:10.1101/2024.06.18.24309102 · Cited by 3
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Song, W., Gong, C., Li, Y., Yang, D., Chen, H., Tang, L., Xu, Y., & Zhao, H. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251389965 · Cited by 2
A Call for New Thoughts About What Might Influence Human Brain Aging
DeCarli, C. S. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.33 · Cited by 2
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Xiong, C., Weng, H., Bennett, D. A., Boyle, P. A., Shah, R. C., Fague, S., Hall, C. B., Lipton, R. B., & Morris, J. C. (2014) · Neuroepidemiology · doi:10.1159/000365733 · Cited by 2
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Platero, C. A., Tohka, J., & Strange, B. A. (2023) · Current Alzheimer Research · doi:10.2174/0115672050295317240223162312 · Cited by 2
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Zhuang, X., Xu, G., Amei, A., Cordes, D., Wang, Z., Oh, E. C. T., & Initiative, A. D. N. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12597 · Cited by 2
Gong, L., Liu, D., Zhang, B., Yu, S., & Xi, C. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04243-z · Cited by 2
Shao, K., Chen, X., Yu, X., Yang, J., Wei, M., Zhang, M., Li, R., Wang, X., Wei, Y., Yan, C., et al. (2024) · Journal of Alzheimer s Disease · doi:10.1177/13872877241291236 · Cited by 2
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Patel, M., Pottier, C. P., Fan, K.-H., Cetin, A., Johnson, M., Ali, M., Liu, M., Gorijala, P., Budde, J., Shi, R., et al. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf017 · Cited by 2
Self-citationMorito, T., Watamura, N., Sasaguri, H., Tomita, T., Higuchi, M., Okano, H., Sasaki, E., & Saido, T. C. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251321116 · Cited by 2
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Schneider, L. S. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70050-4 · Cited by 2
Molchan, S. E. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.748 · Cited by 2
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Huang, S., Zhu, J., Shen, X., Xu, W., Ma, Y., Li, H., Dong, Q., Tan, L., & Yu, J. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200059 · Cited by 2
Ko, H., Park, S., Kwak, S., & Ihm, J. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10040197 · Cited by 2
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Chiaravalloti, A., Barbagallo, G., Castellano, A. E., Ricci, M., Ciccariello, G., Ursini, F., D’Ascenzo, N., Xie, Q., & Schillaci, O. (2019) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000001131 · Cited by 2
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Pomara, N., & Bruno, D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114219108 · Cited by 2
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de Havenon, A., Littig, L., Clocchiatti‐Tuozzo, S., Johnson, I. P., Constantinescu, S., Rivier, C. A., Huo, S., Kimberly, W. T., Gómez‐Isla, T., Kim, Y., et al. (2025) · Annals of Neurology · doi:10.1002/ana.78103 · Cited by 1
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Ma, Y., Li, Y., Wu, G., Liu, L., Tian, M., Han, X., Chen, X., Xuan, X., Zheng, T., Gao, X., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03496-5 · Cited by 1
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Shi, Z., Ying, W., Liu, S., Liu, S., Zhou, Y., Wang, J., Gao, S., & Ji, Y. (2014) · DOAJ (DOAJ: Directory of Open Access Journals)
Price, J. C., Lopresti, B. J., & Villemagne, V. L. (2012) · Neuromethods · doi:10.1007/7657_2012_47
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Ikonomovic, M. D., Abrahamson, E. E., Paljug, W. R., Klunk, L. W. E., Debnath, M. L., Cohen, A. D., Klunk, W. E., Price, J. C., Mathis, C. A., Hamilton, R. L., et al. (2012)
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Detecting time-varying genetic effects in Alzheimer’s disease using a longitudinal GWAS modelPreprint
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Hsieh, Y., Negri, J. M., He, A., Pearse, R. V., Liu, L., Duong, D. M., Chibnik, L. B., Bennett, D. A., Seyfried, N. T., & Young‐Pearse, T. L. (2022) · Figshare · doi:10.6084/m9.figshare.21185043
Hsieh, Y., Negri, J. M., He, A., Pearse, R. V., Liu, L., Duong, D. M., Chibnik, L. B., Bennett, D. A., Seyfried, N. T., & Young‐Pearse, T. L. (2022) · Figshare · doi:10.6084/m9.figshare.21185040
Hsieh, Y., Negri, J. M., He, A., Pearse, R. V., Liu, L., Duong, D. M., Chibnik, L. B., Bennett, D. A., Seyfried, N. T., & Young‐Pearse, T. L. (2022) · Figshare · doi:10.6084/m9.figshare.21185046
Ugwuanyi, I., Oladoyin, I. A., Anazor, C. V., Dike, I. D., Ezulu, P. C., & Nwagbata, A. (2024) · African Journal of Mathematics and Statistics Studies · doi:10.52589/ajmss-4wnit6f9
Metadata
- Authors
- Morris, J. C., Roe, C. M., Xiong, C., Fagan, A. M., Goate, A. M., Holtzman, D. M., & Mintun, M. A.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Morris, John C.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2010-01
- Volume
- 67
- Issue
- 1
- Pages
- 122-131
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC2830375
- OpenAlex
- W2014897304
- Cited by
- 830
- References
- 80
- Citations by year
- 2026: 21 · 2025: 23 · 2024: 38 · 2023: 39 · 2022: 54 · 2021: 40 · 2020: 53 · 2019: 53 · 2018: 49 · 2017: 58 · 2016: 54 · 2015: 48 · 2014: 65 · 2013: 76 · 2012: 63
- FWCI
- 32.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000448)
- National Institute on Aging (P50AG005681, P01AG003991, P01AG026276)
- National Center for Research Resources (UL1RR024992)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- apolipoprotein E, APOE ε4, APOE2, amyloid-beta, tau protein, preclinical Alzheimer's disease, Pittsburgh compound B, cerebrospinal fluid biomarkers, gene dosage effect, phosphorylated tau
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Aniline Compounds, Apolipoproteins E, Brain, Female, Follow-Up Studies, Genotype, Humans, Longitudinal Studies, Male, Middle Aged, Peptide Fragments, Phosphorylation, Thiazoles, Amyloid beta-Peptides, tau Proteins, Apolipoprotein E4, Apolipoprotein E2, Plaque, Amyloid
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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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