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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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Cites
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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Duchek, J. M., Balota, D. A., Thomas, J., Snyder, A. Z., Rich, P. R., Benzinger, T. L. S., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Ances, B. M. (2013) · Neuropsychology · doi:10.1037/a0033402 · Cited by 59
Self-citationIncreased amyloidogenic APP processing in APOE ɛ4-negative individuals with cerebral β-amyloidosis
Mattsson, N., Insel, P. S., Palmqvist, S., Stomrud, E., van Westen, D., Minthon, L., Zetterberg, H., Blennow, K., & Hansson, O. (2016) · Nature Communications · doi:10.1038/ncomms10918 · Cited by 60
Assessment of the Genetic Architecture of Alzheimer’s Disease Risk in Rate of Memory Decline
Del-Aguila, J. L., Fernández, M. V., Schindler, S., Ibanez, L., Deming, Y., Ma, S., Saef, B., Black, K., Budde, J., Norton, J., et al. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170834 · Cited by 60
Self-citationAβ Imaging: feasible, pertinent, and vital to progress in Alzheimer’s disease
Villemagne, V. L., Klunk, W. E., Mathis, C. A., Rowe, C. C., Brooks, D. J., Hyman, B. T., Ikonomović, M. D., Ishii, K., Jack, C. R., Jagust, W. J., et al. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-011-2045-0 · Cited by 58
Self-citationThe spectrum of preclinical Alzheimer's disease pathology and its modulation by ApoE genotype
Pletniková, O., Kageyama, Y., Rudow, G. L., LaClair, K. D., Albert, M., Crain, B. J., Tian, J., Fowler, D. R., & Troncoso, J. C. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.07.007 · Cited by 57
Clark, L. R., Koscik, R. L., Allison, S. L., Berman, S. E., Norton, D., Carlsson, C. M., Betthauser, T. J., Bendlin, B. B., Christian, B. T., Chin, N. A., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.09.008 · Cited by 57
Aβ amyloid, cognition, and APOE genotype in healthy older adults
Lim, Y. Y., Ellis, K. A., Ames, D. J., Darby, D., Harrington, K., Martins, R. N., Masters, C. L., Rowe, C. C., Savage, G. R., Szoeke, C. E. I., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.07.004 · Cited by 64
Sex-specific risk of cardiovascular disease and cognitive decline: pregnancy and menopause
Miller, V. M., Garovic, V. D., Kantarci, K., Barnes, J. N., Jayachandran, M., Mielke, M. M., Joyner, M. J., Shuster, L. T., & Rocca, W. A. (2013) · Biology of Sex Differences · doi:10.1186/2042-6410-4-6 · Cited by 57
Role of Family History for Alzheimer Biomarker Abnormalities in the Adult Children Study
Xiong, C. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.208 · Cited by 56
Self-citationTse, K., Cheng, A., Ma, F., & Herrup, K. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.11.010 · Cited by 56
Binette, A. P., Theaud, G., Rheault, F., Roy, M., Collins, D. L., Levin, J., Mori, H., Lee, J. H., Farlow, M. R., Schofield, P. R., et al. (2021) · eLife · doi:10.7554/elife.62929 · Cited by 60
Self-citationGoveas, J. S., Xie, C., Chen, G., Li, W., Ward, B. D., Franczak, M. B., Jones, J. L., Antuono, P., & Li, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055902 · Cited by 59
Systematic review and meta-analysis of genetic studies of late-life depression
Tsang, R. S. M., Mather, K. A., Sachdev, P. S., & Reppermund, S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.028 · Cited by 54
Boerwinkle, A. H., Gordon, B. A., Wisch, J., Flores, S., Henson, R. L., Butt, O. H., McKay, N., Chen, C. D., Benzinger, T. L. S., Fagan, A. M., et al. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(22)00408-2 · Cited by 55
Self-citationWalhovd, K. B., Fjell, A. M., & Espeseth, T. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12120 · Cited by 60
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Brück, A., Virta, J. R., Koivunen, J., Koikkalainen, J. R., Scheinin, N. M., Helenius, H. Y. M., Någren, K., Helin, S., Parkkola, R. K., Viitanen, M. H., et al. (2013) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2478-8 · Cited by 55
Adamczuk, K., Weer, A. D., Nelissen, N., Chen, K., Sleegers, K., Bettens, K., Broeckhoven, C. V., Vandenbulcke, M., Thiyyagura, P., Dupont, P. J., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.04.001 · Cited by 58
Baker-Nigh, A. T., Mawuenyega, K. G., Bollinger, J. G., Ovod, V., Kasten, T., Franklin, E. E., Liao, F., Jiang, H., Holtzman, D., Cairns, N. J., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.721779 · Cited by 54
Self-citationSwaminathan, S., Shen, L., Risacher, S. L., Yoder, K. K., West, J. D., Kim, S., Nho, K. T., Foroud, T., Inlow, M. H., Potkin, S. G., et al. (2011) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9136-1 · Cited by 54
Role of Apolipoproteins and α-Synuclein in Parkinson’s Disease
Emamzadeh, F. N. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-0942-9 · Cited by 54
Clinical Application of APOE in Alzheimer's Prevention: A Precision Medicine Approach
Berkowitz, C. L., Mosconi, L., Rahman, A., Scheyer, O., Hristov, H., & Isaacson, R. (2018) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2018.35 · Cited by 54
Bussy, A., Snider, B. J., Coble, D. W., Xiong, C., Fagan, A. M., Cruchaga, C., Benzinger, T. L. S., Gordon, B. A., Hassenstab, J. J., Bateman, R. J., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.011 · Cited by 57
Self-citationBilousova, T. V., Melnik, M., Miyoshi, E., Gonzalez, B. L., Poon, W. W., Vinters, H. V., Miller, C. A., Corrada, M. M., Kawas, C. H., Hatami, A., et al. (2019) · American Journal Of Pathology · doi:10.1016/j.ajpath.2019.04.010 · Cited by 57
Salvadó, G., Grothe, M. J., Groot, C., Moscoso, A., Schöll, M., Gispert, J. D., Ossenkoppele, R., & Initiative, A. D. N. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05192-8 · Cited by 57
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Storandt, M., Head, D. M., Fagan, A. M., Holtzman, D. M., & Morris, J. C. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.11.029 · Cited by 54
Self-citationInteractions of metals and Apolipoprotein E in Alzheimer’s disease
Xu, H. J., Finkelstein, D. I., & Adlard, P. A. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00121 · Cited by 56
Subjective Memory Complaints in APOE ɛ 4 Carriers are Associated with High Amyloid-β Burden
Zwan, M. D., Villemagne, V. L., Doré, V., Buckley, R. F., Bourgeat, P., Veljanoski, R., Salvado, O., Williams, R., Margison, L., Rembach, A., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150446 · Cited by 55
Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease
Habib, M., Mak, E., Gabel, S., Su, L., Williams, G., Waldman, A., Wells, K., Ritchie, K., Ritchie, C., & O’Brien, J. T. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.03.004 · Cited by 53
Brain lipid metabolism, apolipoprotein E and the pathophysiology of Alzheimer's disease
Bales, K. R. (2010) · Neuropharmacology · doi:10.1016/j.neuropharm.2010.01.005 · Cited by 58
Vance, J. M., Farrer, L. A., Huang, Y., Cruchaga, C., Hyman, B. T., Pericak‐Vance, M. A., Goate, A. M., Greicius, M. D., Griswold, A. J., Haines, J. L., et al. (2024) · Annals of Neurology · doi:10.1002/ana.26864 · Cited by 52
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Rosario, B. L., Weissfeld, L. A., Laymon, C. M., Mathis, C. A., Klunk, W. E., Berginc, M., James, J. A., Hoge, J. A., & Price, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.070 · Cited by 52
Antonell, A., Fortea, J., Rami, L., Bosch, B., Balasa, M., Sánchez‐Valle, R., Iranzo, Á., Molinuevo, J. L., & Lladó, A. (2010) · Journal of Neural Transmission · doi:10.1007/s00702-010-0534-0 · Cited by 51
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Mosconi, L., Murray, J., Tsui, W. H., Li, Y., Spector, N. C., Goldowsky, A. M., Williams, S., Osorio, R. S., McHugh, P. F., Glodzik, L., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000181 · Cited by 51
An evaluation of the impact ofMAPT,SNCAandAPOEon the burden of Alzheimer's and Lewy body pathology
Wider, C. W., Ross, O. A., Nishioka, K., Heckman, M. G., Vilariño‐Güell, C., Jasińska‐Myga, B., Erketin-Taner, N., Rademakers, R., Graff‐Radford, N. R., Mash, D. C., et al. (2012) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-301413 · Cited by 52
Insel, P. S., Palmqvist, S., Mackin, R. S., Nosheny, R. L., Hansson, O., Weiner, M. W., Mattsson, N., & Initiative, A. D. N. (2016) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.07.002 · Cited by 52
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Reiter, K. E., Nielson, K. A., Durgerian, S., Woodard, J. L., Smith, J. C., Seidenberg, M., Kelly, D. A., & Rao, S. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160504 · Cited by 52
Clinical and pathologic presentation in Parkinson's disease by apolipoprotein e4 allele status
Monsell, S. E., Besser, L. M., Heller, K., Checkoway, H., Litvan, I., & Kukull, W. A. (2014) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2014.02.001 · Cited by 52
Wirth, M., Binette, A. P., Brunecker, P., Köbe, T., Witte, A. V., & Flöel, A. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16641128 · Cited by 58
Association of CSF Aβ, amyloid PET, and cognition in cognitively unimpaired elderly adults
Guo, T., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000010596 · Cited by 51
Initiative, A. D. N., Liu, Y., Tan, L., Wang, H.-F., Liu, Y., Hao, X., Tan, C., Jiang, T., Liu, B., Zhang, D., et al. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9388-7 · Cited by 53
Improving CSF biomarker accuracy in predicting prevalent and incident Alzheimer disease
Roe, C. M., Fagan, A. M., Williams, M., Ghoshal, N., Aeschleman, M., Grant, E., Marcus, D. S., Mintun, M. A., Holtzman, D. M., & Morris, J. C. (2011) · Neurology · doi:10.1212/wnl.0b013e31820af900 · Cited by 49
Self-citationAltered DNA repair; an early pathogenic pathway in Alzheimer’s disease and obesity
Yu, H., Harrison, F. E., & Xia, F. (2018) · Scientific Reports · doi:10.1038/s41598-018-23644-4 · Cited by 50
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Han, J. W., Maillard, P., Harvey, D., Fletcher, E., Martinez, O., Johnson, D. K., Olichney, J. M., Farias, S. T., Villeneuve, S., Jagust, W., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000010531 · Cited by 49
Wang, T., Huynh, K., Giles, C., Mellett, N. A., Duong, T., Nguyen, A., Lim, W. L. F., Smith, A., Olshansky, G., Cadby, G., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12538 · Cited by 43
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Penke, B., Bogár, F., Paragi, G., Gera, J., & Fülöp, L. (2019) · Current Protein and Peptide Science · doi:10.2174/1389203720666190103123434 · Cited by 51
Rubin, L. H., Sundermann, E. E., & Moore, D. J. (2019) · Journal of NeuroVirology · doi:10.1007/s13365-018-0702-9 · Cited by 53
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Pontecorvo, M. J., & Mintun, M. A. (2011) · Alzheimer s Research & Therapy · doi:10.1186/alzrt70 · Cited by 49
Self-citationLongitudinal effects of aging on 18F-FDG distribution in cognitively normal elderly individuals
Ishibashi, K., Onishi, A., Fujiwara, Y., Oda, K., Ishiwata, K., & Ishii, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-29937-y · Cited by 49
McDonough, I. M., Festini, S. B., & Wood, M. M. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101133 · Cited by 52
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Krishnadas, N., Villemagne, V. L., Doré, V., & Rowe, C. C. (2021) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2020.12.005 · Cited by 48
Ayton, S., & Bush, A. I. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101212 · Cited by 45
Soares, H. D., Ga̧sior, M., Toyn, J. H., Wang, J.-S., Hong, Q., Berisha, F., Furlong, M. T., Raybon, J. J., Lentz, K. A., Sweeney, F., et al. (2016) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.116.232256 · Cited by 48
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Grothe, M. J., Villeneuve, S., Dyrba, M., Bartrés‐Faz, D., Wirth, M., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., Aisen, P., Weiner, M. W., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000003585 · Cited by 47
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Weissberger, G. H., Nation, D. A., Nguyen, C. P., Bondi, M. W., & Han, S. D. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.009 · Cited by 51
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Dibattista, M., Pifferi, S., Menini, A., & Reisert, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00440 · Cited by 46
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Bruni, A. C., Bernardi, L., & Gabelli, C. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101126 · Cited by 47
Mosconi, L., Glodzik, L., Mistur, R., McHugh, P., Rich, K. E., Javier, E., Williams, S., Pirraglia, E., De Santi, S., Mehta, P. D., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.011 · Cited by 46
BioAge: Toward a multi-determined, mechanistic account of cognitive aging
DeCarlo, C. A., Tuokko, H. A., Williams, D., Dixon, R. A., & MacDonald, S. W. S. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.09.003 · Cited by 50
Imaging the Role of Amyloid in PD Dementia and Dementia with Lewy Bodies
Gomperts, S. N. (2014) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0472-6 · Cited by 47
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Taylor, J. L., Scanlon, B. K., Farrell, M. E., Hernandez, B., Adamson, M. M., Ashford, J. W., Noda, A. M., Murphy, G. M., & Weiner, M. W. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.011 · Cited by 48
Update on the core and developing cerebrospinal fluid biomarkers for Alzheimer disease
Leko, M. B., Štrac, D. Š., Mück‐Šeler, D., Pivac, N., Stanić, G., Hof, P. R., & Šimić, G. (2014) · Croatian Medical Journal · doi:10.3325/cmj.2014.55.347 · Cited by 48
Alzheimer disease identification using amyloid imaging and reserve variables
Roe, C. M., Mintun, M. A., Ghoshal, N., Williams, M., Grant, E., Marcus, D. S., & Morris, J. C. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e620f4 · Cited by 46
Self-citationIncreased florbetapir binding in the temporal neocortex from age 20 to 60 years
Gonneaud, J., Arenaza‐Urquijo, E. M., Mézenge, F., Landeau, B., Gaubert, M., Bejanin, A., de Florès, R., Wirth, M., Tomadesso, C., Poisnel, G., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004733 · Cited by 49
Giannisis, A., Al-Grety, A., Carlsson, H., Patra, K., Twohig, D., Sando, S. B., Lauridsen, C., Berge, G., Grøntvedt, G. R., Bråthen, G., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01058-9 · Cited by 46
Ossenkoppele, R., Madison, C. M., Oh, H., Wirth, M., van Berckel, B. N. M., & Jagust, W. J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht076 · Cited by 45
Walters, M., Sterling, J. L., Quinn, C. G., Ganzer, C. A., Osorio, R. S., Andrews, R. D., Matthews, D. C., Vallabhajosula, S., de Leon, M. J., Isaacson, R., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-023664 · Cited by 45
Dong, Q., Zhang, W., Wu, J., Li, B., Schron, E. H., McMahon, T., Shi, J., Gutman, B. A., Chen, K., Baxter, L. C., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101744 · Cited by 44
A longitudinal investigation of Aβ, anxiety, depression, and mild cognitive impairment
Pink, A., Krell‐Roesch, J., Syrjanen, J. A., Vassilaki, M. E., Lowe, V. J., Vemuri, P., Stokin, G. B., Christianson, T. J. H., Kremers, W. K., Jack, C. R., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12504 · Cited by 45
Mormino, E. C. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9267-4 · Cited by 44
Luo, J. R., Agboola, F., Grant, E., Morris, J. C., Masters, C. L., Albert, M., Johnson, S. C., McDade, E., Fagan, A. M., Benzinger, T. L. S., et al. (2022) · Brain · doi:10.1093/brain/awac238 · Cited by 47
Self-citationAlzheimer CSF biomarkers in routine clinical setting
Tabaraud, F., Leman, J. P., Milor, A.-M., Roussie, J. M., Barrière, G., Tartary, M., Boutros-Toni, F., & Rigaud, M. (2011) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.2011.01592.x · Cited by 44
Atrophy Rates in Asymptomatic Amyloidosis: Implications for Alzheimer Prevention Trials
Andrews, K. A., Marc Modat, A., Macdonald, K. E., Yeatman, T., Cardoso, M. J., Leung, K. K., Barnes, J., Villemagne, V. L., Rowe, C. C., Fox, N. C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058816 · Cited by 48
Nielsen, H. M., Chen, K., Lee, W., Chen, Y., Bauer, R. J., III, Reiman, E. M., Caselli, R. J., & Bu, G. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0231-9 · Cited by 44
Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain
Felsky, D., Patrick, E., Schneider, J. A., Mostafavi, S., Gaiteri, C., Patsopoulos, N. A., Bennett, D. A., & Jager, P. L. D. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0272-6 · Cited by 44
Köbe, T., Gonneaud, J., Binette, A. P., Meyer, P., McSweeney, M., Rosa‐Neto, P., Breitner, J. C. S., Poirier, J., & Villeneuve, S. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.20780 · Cited by 44
Cholesterol Dysmetabolism in Alzheimer’s Disease: A Starring Role for Astrocytes?
Staurenghi, E., Giannelli, S., Testa, G., Sottero, B., Leonarduzzi, G., & Gamba, P. (2021) · Antioxidants · doi:10.3390/antiox10121890 · Cited by 44
Disclosure of amyloid imaging results to research participants: Has the time come?
Lingler, J. H., & Klunk, W. E. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.09.014 · Cited by 44
Cognitive Reserve Relates to Functional Network Efficiency in Alzheimer’s Disease
Weiler, M., Casseb, R. F., de Campos, B. M., Teixeira, C. V. L., Carletti‐Cassani, A. F. M. K., Vicentini, J. E., Magalhães, T. N. C., de Almeira, D. Q., Talib, L. L., Forlenza, O. V., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00255 · Cited by 45
Diagnostic biomarkers in Alzheimer’s disease
Andersen, E., Casteigne, B., Chapman, W. D., Creed, A., Foster, F., Lapins, A., Shatz, R., & Sawyer, R. P. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2021.100041 · Cited by 42
McMillan, I. O., Li, J., & Wang, L. (2023) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00247.2022 · Cited by 49
Ringman, J. M., Coppola, G., Elashoff, D. A., Rodríguez‐Agudelo, Y., Medina, L. D., Gylys, K. H., Cummings, J. L., & Cole, G. M. (2012) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000335729 · Cited by 41
Photonic crystals on copolymer film for label-free detection of DNA hybridization
Su, H., Cheng, X. R., Endo, T., & Kerman, K. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.12.013 · Cited by 42
Roe, C. M., Ances, B. M., Head, D. M., Babulal, G. M., Stout, S. H., Grant, E., Hassenstab, J. J., Xiong, C., Holtzman, D. M., Benzinger, T. L. S., et al. (2018) · Brain · doi:10.1093/brain/awy244 · Cited by 42
Self-citationWang, L., & Liu, Z.-P. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00157 · Cited by 43
Xiong, C., Luo, J. R., Coble, D. W., Agboola, F., Kukull, W. A., & Morris, J. C. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12060 · Cited by 42
Self-citationRaulin, A.-C., Kraft, L., Al-Hilaly, Y. K., Xue, W.-F., McGeehan, J. E., Atack, J. R., & Serpell, L. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.04.019 · Cited by 47
Bastos, P. A. D., Ferreira, R. M., Manadas, B. J., Moreira, P. I., & Vitorino, R. M. P. (2017) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2017.1299682 · Cited by 40
Myelin injury in the central nervous system and Alzheimer's disease.
Wang, S.-S., Zhang, Z., Zhu, T., Chu, S.-F., He, W.-B., & Chen, N.-H. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2018.05.003 · Cited by 40
Pietzuch, M., King, A. E., Ward, D. D., & Vickers, J. C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00030 · Cited by 45
Brain integrity is altered by hepatic APOE ε4 in humanized-liver mice
Giannisis, A., Patra, K., Edlund, A. K., Nieto, L. A., Benedicto-Gras, J., Moussaud, S., de la Rosa, A., Twohig, D., Bengtsson, T., Fu, Y., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01548-0 · Cited by 40
Cavedo, E., Lista, S., Rojkova, K., Chiesa, P. A., Houot, M., Brueggen, K., Blautzik, J., Bokde, A. L. W., Dubois, B., Barkhof, F., et al. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.048 · Cited by 40
Apolipoprotein E Genotype e2: Neuroprotection and Its Limits
Kim, H., Devanand, D. P., Carlson, S., & Goldberg, T. E. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.919712 · Cited by 41
Durazzo, T. C., Mattsson, N., Weiner, M. W., & Initiative, A. D. N. (2015) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntv075 · Cited by 41
Alzheimer Lesions in the Autopsied Brains of People 30 to 50 Years of Age
Pletniková, O., Rudow, G. L., Hyde, T. M., Kleinman, J. E., Ali, S. Z., Bharadwaj, R. A., Gangadeen, S., Crain, B. J., Fowler, D. R., Rubio, A. I., et al. (2015) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000071 · Cited by 40
Aschenbrenner, A. J., Balota, D. A., Gordon, B. A., Ratcliff, R., & Morris, J. C. (2015) · Neuropsychology · doi:10.1037/neu0000222 · Cited by 43
Self-citationCognitive and functional patterns of nondemented subjects with equivocal visual amyloid PET findings
Payoux, P., Delrieu, J., Gallini, A., Adel, D., Salabert, A., Hitzel, A., Cantet, C., Tafani, M., de Verbizier, D., Darcourt, J., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3067-9 · Cited by 42
Liu, Y., Yu, J., Wang, H.-F., Hao, X., Yang, Y.-F., Jiang, T., Zhu, X., Cao, L., Zhang, D., & Tan, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114777 · Cited by 39
Peña-Gómez, C., Solé‐Padullés, C., Clemente, I. C., Junqué, C., Bargalló, N., Bosch, B., Molinuevo, J. L., Valls‐Solé, J., Pascual‐Leone, Á., & Bartrés‐Faz, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051833 · Cited by 39
Biomarkers Predicting Alzheimer's Disease in Cognitively Normal Aging
Shim, Y. S., & Morris, J. C. (2011) · Journal of Clinical Neurology · doi:10.3988/jcn.2011.7.2.60 · Cited by 41
Self-citation
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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