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Neuropathology and Cognitive Impairment in Alzheimer Disease: A Complex but Coherent Relationship
Open accessAbstract
Amyloid plaques and neurofibrillary tangles (NFTs) are the pathological hallmarks of Alzheimer disease (AD). There is controversy regarding the use of current diagnostic criteria for AD and whether amyloid plaques and NFTs contribute to cognitive impairment. Because AD is specific to humans, rigorous and comprehensiveclinicopathologic studies are necessary to test and refine hypotheses of AD diagnosis and pathogenesis. Neither the clinical nor the pathological aspects of AD evolve in a linear manner, but thepredictable sequence of AD pathology allows for stage-based correlations with cognitive deterioration. We discuss subsets of patients with clinical dementia who lack amyloid plaques and NFTs and, conversely, whether individuals without antemortem cognitive impairment can harbor severe AD-type pathological findings at autopsy. There are many medical, technical, and anatomical challenges to clinicopathologic studies in AD. For example, at least two thirds of persons older than 80 years have non-AD brain diseases that can effect on cognitive function. We argue that existing data strongly support the hypothesis that both amyloid plaques and NFTs contribute to cognitive impairment.
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“leading to dysfunction and loss of synapses and eventual neuronal death1,2.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [1]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“AD is characterized by an accumulation of senile plaques (SP) [composed mostly of fibrillary amyloid beta-peptide (Aβ) and dystrophic neurites] and neurofibrillary tangles (NFT) [composed of hyperphosphorylated tau protein] in the brain”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [1]
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“Clinically, AD is characterized by several features, notably a progressive cognitive decline involving loss of memory and higher executive functioning1.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [1]
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“It is expected that many persons die with brains that exhibit AD neuropathologic change in the preclinical phase of AD; indeed, data support the modeled expectations (44, 142).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
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“Evaluation of AD status was conducted by the AD Center Neuropathology and Clinical Cores using guidelines set forth by the National Institute on Aging Reagan Institute that included evaluation of neurofibrillary tangles and neuritic senile plaques [36–38].”
From Predominant expression of Alzheimer’s disease-associated BIN1 in mature oligodendrocytes and localization to white matter tracts (2016) · cites this paper as [37]
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“Indeed, the first pathological insults to neurons in AD and aMCI occur at pre- and post-synaptic membranes1,3.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [1]
Experimental — accuracy not yet measuredIn the citing paper
“Indeed, this is precisely the observation reported by one of the largest autopsy series to date (142) and is well supported by AD biomarker studies (143-145).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
In the citing paper
“It is important to emphasize that, among thousands of cases from dozens of CPC studies worldwide, there never has been a report of a thoroughly documented individual with truly “end-stage” neocortical NFT pathology who lacked antemortem cognitive impairment proximal to death (142, 151).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
In the citing paper
“In a review of 11 different studies comprising 555 subjects without dementia, a total of 12 brains were assessed as Braak stage V (2.2%); 3 were assessed as Braak stage VI (0.5%) (142).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
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“However, not all Braak stage VI brains were the same; there was significant variation in NFT burden in these cases (142, 151).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
In the citing paper
“In a review of 11 different studies comprising 555 subjects without dementia, a total of 12 brains were assessed as Braak stage V (2.2%); 3 were assessed as Braak stage VI (0.5%) (142).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [142]
In the citing paper
“There have been many clinicopathological studies that have correlated amyloid plaques with cognitive deficits in AD, with an emerging picture that the strongest correlation exists in the earliest stages of the disease and this association greatly weakens as NFTs and neocortical degeneration become more widespread [9, 102, 103, 157, 160, 169].”
From Alzheimer's disease: experimental models and reality (2017) · cites this paper as [103]
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Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Self-citationLOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322
The cholinergic hypothesis of geriatric memory dysfunction
Bartus, R. T., Dean, R. L., Beer, B., & Lippa, A. S. (1982) · Science · doi:10.1126/science.7046051 · Cited by 5,545
Goate, A., Chartier-Harlin, M.-C., Mullan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., et al. (1991) · Nature · doi:10.1038/349704a0 · Cited by 4,659
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
SELECTIVE LOSS OF CENTRAL CHOLINERGIC NEURONS IN ALZHEIMER'S DISEASE
DAVIES, P. (1976) · The Lancet · doi:10.1016/s0140-6736(76)91936-x · Cited by 3,565
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
Diagnosis of Alzheimer's Disease
Khachaturian, Z. S. (1985) · Archives of Neurology · doi:10.1001/archneur.1985.04060100083029 · Cited by 2,499
Staging of alzheimer's disease-related neurofibrillary changes
Braak, H., & Braak, E. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00021-6 · Cited by 2,357
Self-citationAlzheimer Disease in the US Population: Prevalence Estimates Using the 2000 Census
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A., & Evans, D. A. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1119 · Cited by 2,168
Research works printed but not linked: 1
- Centers for Disease Control and Prevention. Prevalence of stroke-United States, 2005. MMWR Morb Mortal Wkly Rep 2007;56:469–74
Cited by
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Kinney, J. W., Bemiller, S. M., Murtishaw, A. S., Leisgang, A. M., Salazar, A. M., & Lamb, B. T. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.06.014 · Cited by 2,253
Stages of the Pathologic Process in Alzheimer Disease: Age Categories From 1 to 100 Years
Braak, H., Thal, D. R., Ghebremedhin, E., & Del Tredici, K. (2011) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e318232a379 · Cited by 2,194
Self-citationNelson, P. T., Alafuzoff, I., Bigio, E. H., Bouras, C., Braak, H., Cairns, N. J., Castellani, R. J., Crain, B. J., Davies, P., Tredici, K. D., et al. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31825018f7 · Cited by 2,050
“(142).”
BackgroundResultInfluentialSelf-citationOxidative stress, dysfunctional glucose metabolism and Alzheimer disease
Butterfield, D. A., & Halliwell, B. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0132-6 · Cited by 1,954
Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., et al. (2019) · Brain · doi:10.1093/brain/awz099 · Cited by 1,547
Self-citationClassification and basic pathology of Alzheimer disease
Duyckaerts, C., Delatour, B., & Potier, M.-C. (2009) · Acta Neuropathologica · doi:10.1007/s00401-009-0532-1 · Cited by 1,031
Microglia-mediated neuroinflammation in neurodegenerative diseases
Subhramanyam, C. S., Wang, C., Hu, Q., & Dheen, S. T. (2019) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2019.05.004 · Cited by 897
Timing of onset of cognitive decline: results from Whitehall II prospective cohort study
Singh-Manoux, A., Kivimaki, M., Glymour, M. M., Elbaz, A., Berr, C., Ebmeier, K. P., Ferrie, J. E., & Dugravot, A. (2012) · BMJ · doi:10.1136/bmj.d7622 · Cited by 836
Alzheimer's disease: experimental models and reality
Drummond, E., & Wisniewski, T. (2017) · Acta Neuropathologica · doi:10.1007/s00401-016-1662-x · Cited by 810
Prion-like transmission of protein aggregates in neurodegenerative diseases
Brundin, P., Melki, R., & Kopito, R. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2873 · Cited by 778
The case for rejecting the amyloid cascade hypothesis
Herrup, K. (2015) · Nature Neuroscience · doi:10.1038/nn.4017 · Cited by 768
Webster, S. J., Bachstetter, A. D., Nelson, P. T., Schmitt, F. A., & Van Eldik, L. J. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00088 · Cited by 755
“First, the strongest correlation between amyloid plaques and cognition is in the early stages of the disease and this association weakens as NFTs and gross neocortical neurodegeneration become more widespread (Thal et al., 2002; Nelson et al., 2009b, 2012).”
BackgroundInfluentialSelf-citationImpact of multiple pathologies on the threshold for clinically overt dementia
Kapasi, A., DeCarli, C., & Schneider, J. A. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1717-7 · Cited by 739
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Liu, P.-P., Xie, Y., Meng, X.-Y., & Kang, J.-S. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0063-8 · Cited by 723
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Olufunmilayo, E. O., Gerke-Duncan, M. B., & Holsinger, R. M. D. (2023) · Antioxidants · doi:10.3390/antiox12020517 · Cited by 752
He, Z., Guo, J. L., McBride, J. D., Narasimhan, S., Kim, H., Changolkar, L., Zhang, B., Gathagan, R. J., Yue, C., Dengler, C., et al. (2018) · Nature Medicine · doi:10.1038/nm.4443 · Cited by 645
Castellani, R. J., Rolston, R. K., & Smith, M. A. (2010) · Disease-a-Month · doi:10.1016/j.disamonth.2010.06.001 · Cited by 596
Trajectories of Depressive Symptoms Before Diagnosis of Dementia: A 28-Year Follow-up Study
Singh-Manoux, A., Dugravot, A., Fournier, A., Abell, J., Ebmeier, K., Kivimäki, M., & Sabia, S. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0660 · Cited by 529
The Aβ oligomer hypothesis for synapse failure and memory loss in Alzheimer’s disease
Ferreira, S. T., & Klein, W. L. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.08.003 · Cited by 442
Resting state functional connectivity of the striatum in Parkinson’s disease
Hacker, C. D., Perlmutter, J. S., Criswell, S. R., Ances, B. M., & Snyder, A. Z. (2012) · Brain · doi:10.1093/brain/aws281 · Cited by 408
Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II study
Singh‐Manoux, A., Dugravot, A., Shipley, M., Brunner, E. J., Elbaz, A., Sabia, S., & Kivimaki, M. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2637 · Cited by 401
Nelson, P. T., Head, E., Schmitt, F. A., Davis, P. R., Neltner, J. H., Jicha, G. A., Abner, E. L., Smith, C. D., Van Eldik, L. J., Kryscio, R. J., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0826-y · Cited by 365
Self-citationInflammation in Alzheimer’s disease: Lessons learned from microglia-depletion models
Spangenberg, E. E., & Green, K. N. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2016.07.003 · Cited by 352
Modifiable factors that alter the size of the hippocampus with ageing
Fotuhi, M., Do, D., & Jack, C. R. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.27 · Cited by 356
Wang, W.-X., Huang, Q., Hu, Y., Stromberg, A. J., & Nelson, P. T. (2011) · Acta Neuropathologica · doi:10.1007/s00401-010-0756-0 · Cited by 339
Self-citationRüb, U., Schöls, L. J., Paulson, H. L., Auburger, G. W. J., Kermer, P., Jen, J. C., Seidel, K., Korf, H., & Deller, T. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.01.001 · Cited by 346
Marzia Perluigi, A., Domenico, F. D., & Butterfield, D. A. (2023) · Physiological Reviews · doi:10.1152/physrev.00030.2022 · Cited by 322
Trem2 restrains the enhancement of tau accumulation and neurodegeneration by β-amyloid pathology
Lee, S.-H., Meilandt, W. J., Xie, L., Gandham, V. D., Ngu, H., Barck, K. H., Rezzonico, M. G., Imperio, J., Lalehzadeh, G., Huntley, M. A., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.02.010 · Cited by 300
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Fotuhi, M., Hachinski, V., & Whitehouse, P. J. (2009) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.175 · Cited by 291
Hippocampal sclerosis in advanced age: clinical and pathological features
Nelson, P. T., Schmitt, F. A., Lin, Y., Abner, E. L., Jicha, G. A., Patel, E., Thomason, P. C., Neltner, J. H., Smith, C. D., Santacruz, K. S., et al. (2011) · Brain · doi:10.1093/brain/awr053 · Cited by 279
Self-citationLow sensitivity in clinical diagnoses of dementia with Lewy bodies
Nelson, P. T., Jicha, G. A., Kryscio, R. J., Abner, E. L., Schmitt, F. A., Cooper, G. E., Xu, L., Smith, C. D., & Markesbery, W. R. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5324-y · Cited by 279
Self-citationCD33 Alzheimer’s risk-altering polymorphism, CD33 expression, and exon 2 splicing
Malik, M., Simpson, J. F., Parikh, I., Wilfred, B. R., Fardo, D. W., Nelson, P. T., & Estus, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1224-13.2013 · Cited by 262
Self-citationMild cognitive impairment: pathology and mechanisms
Mufson, E. J., Binder, L. I., Counts, S., DeKosky, S. T., deToledo‐Morrell, L., Ginsberg, S. D., Ikonomović, M. D., Perez, S. E., & Scheff, S. W. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0884-1 · Cited by 268
Villain, N., Chételat, G., Grassiot, B., Bourgeat, P., Jones, G., Ellis, K. A., Ames, D., Martins, R. N., Eustache, F., Salvado, O., et al. (2012) · Brain · doi:10.1093/brain/aws125 · Cited by 255
Where, when, and in what form does sporadic Alzheimerʼs disease begin?
Braak, H., & Tredici, K. D. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32835a3432 · Cited by 261
Self-citationPontecorvo, M. J., Devous, M. D., Kennedy, I., Navitsky, M., Lu, M., Galante, N., Salloway, S., Doraiswamy, P. M., Southekal, S., Arora, A. K., et al. (2019) · Brain · doi:10.1093/brain/awz090 · Cited by 249
You, H., Tsutsui, S., Hameed, S., Kannanayakal, T. J., Chen, L., Xia, P., Engbers, J. D. T., Lipton, S. A., Stys, P. K., & Zamponi, G. W. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110789109 · Cited by 254
Neuropathologic Alterations in Mild Cognitive Impairment: A Review
Markesbery, W. R. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-1220 · Cited by 236
Self-citationDrosophila melanogaster in the Study of Human Neurodegeneration
Hirth, F. (2010) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152710791556104 · Cited by 247
Besser, L. M., Kukull, W. A., Teylan, M. A., Bigio, E. H., Cairns, N. J., Kofler, J. K., Montine, T. J., Schneider, J. A., & Nelson, P. T. (2018) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nly049 · Cited by 224
Self-citationDysfunctional Mitochondria and Mitophagy as Drivers of Alzheimer’s Disease Pathogenesis
Chakravorty, A., Jetto, C. T., & Manjithaya, R. R. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00311 · Cited by 225
Smoking, nicotine and neuropsychiatric disorders
Döme, P., Lazáry, J., Kalapos, M. P., & Rihmer, Z. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.07.013 · Cited by 227
Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment
Costafreda, S. G., Dinov, I. D., Tu, Z., Shi, Y., Liu, C.-Y., Kłoszewska, I., Mecocci, P., Soininen, H. S., Tsolaki, M., Vellas, B. J., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.050 · Cited by 220
Lipocalin 2: Novel component of proinflammatory signaling in Alzheimer's disease
Naudé, P. J. W., Nyakas, C. J., Eiden, L. E., Aït‐Ali, D., Heide, R. V. D., Engelborghs, S., Luiten, P. G. M., Deyn, P. P. D., den Boer, J. A., & Eisel, U. L. M. (2012) · The FASEB Journal · doi:10.1096/fj.11-202457 · Cited by 208
Does Alzheimer's disease begin in the brainstem?
Simic, G., Stanic, G., Mladinov, M., Jovanov‐Milosevic, N., Kostovic, I., & Hof, P. R. (2009) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2009.01038.x · Cited by 204
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An, N., Ding, H., Yang, J., Au, R., & Ang, T. F. A. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2020.103411 · Cited by 212
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Gallardo, G., & Holtzman, D. M. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9358-8_16 · Cited by 212
Long, J. M., Ray, B., & Lahiri, D. K. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.366336 · Cited by 198
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Murray, P. S., Kumar, S., DeMichele‐Sweet, M. A. A., & Sweet, R. A. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.020 · Cited by 203
van Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197
Neuroinflammatory phenotype in early Alzheimer's disease
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Self-citationNetwork Dysfunction in Alzheimer's Disease: Refining the Disconnection Hypothesis
Brier, M. R., Thomas, J., & Ances, B. M. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0236 · Cited by 203
Lee, H.-K., Velazquez Sanchez, C., Chen, M., Morin, P. J., Wells, J. M., Hanlon, E. B., & Xia, W. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163072 · Cited by 190
Long, J. M., Ray, B., & Lahiri, D. K. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.518241 · Cited by 187
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Schmitt, F. A., Nelson, P. T., Abner, E. L., Scheff, S. W., Jicha, G. A., Smith, C. D., Cooper, G. E., Mendiondo, M. S., Danner, D. D., Eldik, L. J. V., et al. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322591 · Cited by 185
Self-citationChornenkyy, Y., Wang, W., Wei, A. L., & Nelson, P. T. (2018) · Brain Pathology · doi:10.1111/bpa.12655 · Cited by 189
Self-citationFerrer, I. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.03.005 · Cited by 174
Cortical iron reflects severity of Alzheimer's disease
van Duijn, S., Bulk, M., van Duinen, S. G., Nabuurs, R. J. A., van Buchem, M. A., van der Weerd, L., & Natté, R. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161143 · Cited by 172
“A promising approach is in vivo detection of amyloid- (A ) plaques, neuropil threads (NT), and neurofibrillary tangles (NFT), since these histological hallmarks of AD occur 10–20 years before cognitive decline [1, 2].”
BackgroundDoes cognitive reserve shape cognitive decline?
Singh‐Manoux, A., Marmot, M. G., Glymour, M. M., Sabia, S., Mika Kivimaki, B., & Dugravot, A. (2011) · Annals of Neurology · doi:10.1002/ana.22391 · Cited by 181
Tai, L. M., Bilousova, T., Jungbauer, L., Roeske, S. K., Youmans, K. L., Yu, C., Poon, W. W., Cornwell, L. B., Miller, C. A., Vinters, H. V., et al. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.442103 · Cited by 165
Braak, H., & Tredici, K. D. (2014) · Advances in anatomy, embryology and cell biology · doi:10.1007/978-3-319-12679-1_1 · Cited by 164
Self-citationAlzheimer’s disease tau is a prominent pathology in LRRK2 Parkinson’s disease
Henderson, M. X., Sengupta, M., Trojanowski, J. Q., & Lee, V. M. ‐. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0836-x · Cited by 164
“New Old Pathologies”: AD, PART, and Cerebral Age-Related TDP-43 With Sclerosis (CARTS)
Nelson, P. T., Trojanowski, J. Q., Abner, E. L., Al-Janabi, O. M., Jicha, G. A., Schmitt, F. A., Smith, C. D., Fardo, D. W., Wang, W.-X., Kryscio, R. J., et al. (2016) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlw033 · Cited by 158
Self-citationVos, A. D., Jacobs, D., Struyfs, H., Fransén, E., Andersson, K., Portelius, E., Andréasson, U., Surgeloose, D. D., Hernalsteen, D., Sleegers, K., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.012 · Cited by 158
Youssef, S. A., Capucchio, M. T., Rofina, J., CHAMBERS, J. K., Uchida, K., Nakayama, H., & Head, E. (2016) · Veterinary Pathology · doi:10.1177/0300985815623997 · Cited by 166
De Rossi, P., Buggia-Prévot, V., Clayton, B. L. L., Vasquez, J. B., van Sanford, C., Andrew, R. J., Lesnick, R., Botté, A., Deyts, C., Salem, S., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0124-1 · Cited by 151
Noninvasive and targeted delivery of therapeutics to the brain using focused ultrasound
Poon, C., McMahon, D., & Hynynen, K. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.02.014 · Cited by 150
Chakraborty, R., Vepuri, V., Mhatre, S. D., Paddock, B. E., Miller, S., Michelson, S. J., Delvadia, R., Desai, A., Vinokur, M., Melicharek, D. J., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020799 · Cited by 146
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de J.R. De-Paula, V., Forlenza, A. S., & Forlenza, O. V. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.07.007 · Cited by 145
Diagnosis and biomarkers of predementia in Alzheimer's disease
Forlenza, O. V., Diniz, B. S., & Gattaz, W. F. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-89 · Cited by 160
Long, J. M., Maloney, B., Rogers, J. T., & Lahiri, D. K. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0266-3 · Cited by 141
Chiu, M., Chen, Y., Chen, T., Yang, S., Yang, F., Tseng, T.-W., Chieh, J.-J., Chen, J.-C. R., Tzen, K., Hua, M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22390 · Cited by 144
Braak, H., Zetterberg, H., Tredici, K. D., & Blennow, K. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1139-0 · Cited by 148
Self-citationCharacterization of AZD4694, a novel fluorinated Aβ plaque neuroimaging PET radioligand
Juréus, A., Swahn, B., Sandell, J., Jeppsson, F., Johnson, A. E., Johnström, P., Neelissen, J. A. M., Sunnemark, D., Farde, L., & Svensson, S. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06812.x · Cited by 145
Knopman, D. S., Haeberlein, S. B., Carrillo, M. C., Hendrix, J. A., Kerchner, G., Margolin, R. A., Maruff, P. T., Miller, D. S., Tong, G., Tome, M. B., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.03.002 · Cited by 144
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Aged chimpanzees exhibit pathologic hallmarks of Alzheimer's disease
Edler, M. K., Sherwood, C. C., Meindl, R. S., Hopkins, W. D., Ely, J. J., ERWIN, J. M., Mufson, E. J., Hof, P. R., & Raghanti, M. A. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.07.006 · Cited by 138
NADPH-oxidase activation and cognition in Alzheimer disease progression
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“The presence of neurofibrillary tangles has been recently reported to show a strong relationship with the progression of the disease [1, 38].”
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Butterfield, D. A. (2014) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2014.06.006 · Cited by 126
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Double, K. L., Reyes, S., Werry, E. L., & Halliday, G. M. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.06.001 · Cited by 126
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Castellani, R. J., & Smith, M. A. (2011) · The Journal of Pathology · doi:10.1002/path.2885 · Cited by 129
Circulating Nucleic Acids in Plasma and Serum
Gahan, P. B., & Swaminathan, R. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1448.050 · Cited by 121
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Maulik, M., Westaway, D. A., Jhamandas, J. H., & Kar, S. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8337-y · Cited by 121
Mormino, E. C., & Papp, K. V. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179928 · Cited by 124
Nelson, P. T., Abner, E. L., Schmitt, F. A., Kryscio, R. J., Jicha, G. A., Santacruz, K., Smith, C. D., Patel, E., & Markesbery, W. R. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181aacbe9 · Cited by 115
Self-citationBrain site-specific proteome changes in aging-related dementia
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Wang, Y., Kan, H., Yin, Y., Wu, W., Hu, W., Wang, M., Li, W., & Li, W. (2014) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2014.02.012 · Cited by 113
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Sierksma, A., Lu, A., Salta, E., Vanden Eynden, E., Callaerts-Vegh, Z., D’Hooge, R., Blum, D., Buée, L., Fiers, M., & De Strooper, B. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0285-1 · Cited by 120
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Tosun, D., Landau, S. M., Aisen, P. S. S., Petersen, R. C., Mintun, M. A., Jagust, W., Weiner, M. W., & Initiative, A. D. N. (2017) · Brain · doi:10.1093/brain/awx046 · Cited by 110
Metadata
- Authors
- Nelson, P. T., Braak, H., & Markesbery, W. R.
- Affiliations
- University of Kentucky HealthCare (US)
- University of Kentucky (US)
- Corresponding author
- Nelson, Peter T.
- Venue
- Journal of Neuropathology & Experimental Neurology
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 68
- Issue
- 1
- Pages
- 1-14
- ISSN
- 0022-3069 (ISSN-L)
- 1554-6578
- PMC
- PMC2692822
- OpenAlex
- W1985747467
- Cited by
- 643
- References
- 155
- Citations by year
- 2026: 21 · 2025: 43 · 2024: 48 · 2023: 46 · 2022: 33 · 2021: 45 · 2020: 44 · 2019: 33 · 2018: 32 · 2017: 32 · 2016: 37 · 2015: 32 · 2014: 35 · 2013: 42 · 2012: 41
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuropathology & Experimental Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- National Institutes of Health (AG028 383)
- National Institute on Aging (P30AG028383)
- National Institute of Neurological Disorders and Stroke (R01NS061933, K08NS050110)
- 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 plaques, neurofibrillary tangles, cognitive impairment, clinicopathological correlation, Alzheimer's disease diagnosis, Alzheimer disease pathogenesis, autopsy findings
- MeSH terms
- Alzheimer Disease, Cognition Disorders, Humans, Neurofibrillary Tangles, Plaque, Amyloid
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