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Dissecting phenotypic traits linked to human resilience to Alzheimer’s pathology
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Clinico-pathological correlation studies and positron emission tomography amyloid imaging studies have shown that some individuals can tolerate substantial amounts of Alzheimer's pathology in their brains without experiencing dementia. Few details are known about the neuropathological phenotype of these unique cases that might prove relevant to understanding human resilience to Alzheimer's pathology. We conducted detailed quantitative histopathological and biochemical assessments on brains from non-demented individuals before death whose brains were free of substantial Alzheimer's pathology, non-demented individuals before death but whose post-mortem examination demonstrated significant amounts of Alzheimer's changes ('mismatches'), and demented Alzheimer's cases. Quantification of amyloid-β plaque burden, stereologically-based counts of neurofibrillary tangles, neurons and reactive glia, and morphological analyses of axons were performed in the multimodal association cortex lining the superior temporal sulcus. Levels of synaptic integrity markers, and soluble monomeric and multimeric amyloid-β and tau species were measured. Our results indicate that some individuals can accumulate equivalent loads of amyloid-β plaques and tangles to those found in demented Alzheimer's cases without experiencing dementia. Analyses revealed four main phenotypic differences among these two groups: (i) mismatches had striking preservation of neuron numbers, synaptic markers and axonal geometry compared to demented cases; (ii) demented cases had significantly higher burdens of fibrillar thioflavin-S-positive plaques and of oligomeric amyloid-β deposits reactive to conformer-specific antibody NAB61 than mismatches; (iii) strong and selective accumulation of hyperphosphorylated soluble tau multimers into the synaptic compartment was noted in demented cases compared with controls but not in mismatches; and (iv) the robust glial activation accompanying amyloid-β and tau pathologies in demented cases was remarkably reduced in mismatches. Further biochemical measurements of soluble amyloid-β species-monomers, dimers and higher molecular weight oligomers-in total brain homogenates and synaptoneurosomal preparations failed to demonstrate significant differences between mismatches and demented cases. Together, these data suggest that amyloid-β plaques and tangles do not inevitably result in neural system derangement and dementia in all individuals. We identified distinct phenotypic characteristics in the profile of brain fibrillar and soluble amyloid-β and tau accrual and in the glial response that discriminated demented and non-demented individuals with high loads of Alzheimer's pathology. Amyloid-β deposition in the form of fibrillar plaques and intimately related oligomeric amyloid-β assemblies, hyperphosphorylated soluble tau species localized in synapses, and glial activation emerged in this series as likely mediators of neurotoxicity and altered cognition, providing further insight into factors and pathways potentially involved in human susceptibility or resilience to Alzheimer's pathological changes.
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“unlike in the brains of AD subjects with dementia, no phosphorylated tau accumulation occurs within the synapses of AsymAD brains [73, 83].”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [73]
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“Consistent with our findings, previous studies have shown that AsymAD cases exhibit an overall deficiency in oligomeric and soluble phospho-tau species, indicating fewer pathological tau species in these cases than in AD cases [8, 73, 83].”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [73]
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“Very few studies reported using stereology to complete their cell counts,54, 70, 83, 84, 122 the gold standard for quantifying cells in a tissue without bias.”
From Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review (2018) · cites this paper as [83]
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“AsymAD brains have also been found to exhibit a neuroinflammatory profile distinct from that of AD brains, with decreased numbers of activated microglia and astrocyte cells [73]”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [73]
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“studies have demonstrated that AsymAD brains exhibit no signs of notorious synaptic or neuronal deterioration [8, 42, 73]”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [73]
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“The direct connection between Aβ and MAPT pathology is poorly understood, as shown by the weak correlation between the distribution of Aβ pathology and the distribution of MAPT pathology in humans (Serrano-Pozo et al., 2011; Perez-Nievas et al., 2013; Scheltens et al., 2021).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Perez-Nievas et al., 2013
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“Moreover, in rare instances of AD in which cognition is relatively preserved (resilient cases), the number of neurofibrillary tangles is the same as in typical AD patients, although the amount of neuronal and synaptic loss is minimal (17).”
From All the Tau We Cannot See (2023) · cites this paper as [17]
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Citations
Cites
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
Self-citationShankar, 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
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326
The molecular pathology of Alzheimer's disease
Selkoe, D. J. (1991) · Neuron · doi:10.1016/0896-6273(91)90052-2 · Cited by 2,708
Variant of TREM2 Associated with the Risk of Alzheimer's Disease
Jonsson, T., Stefansson, H., Steinberg, S., Jonsdottir, I., Jonsson, P. V., Snaedal, J., Bjornsson, S., Huttenlocher, J., Levey, A. I., Lah, J. J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211103 · Cited by 2,558
Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
DeKosky, S. T., & Scheff, S. W. (1990) · Annals of Neurology · doi:10.1002/ana.410270502 · Cited by 2,376
The toxic Aβ oligomer and Alzheimer's disease: an emperor in need of clothes
Benilova, I., Karran, E., & De Strooper, B. (2012) · Nature Neuroscience · doi:10.1038/nn.3028 · Cited by 1,962
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 5×
“Stereologically-based counts of neurofibrillary tangles, neurons, GFAP-positive astrocytes and CD68-positive microglial cells were performed as previously described (West and Gundersen, 1990; Gomez-Isla et al., 1996).”
MethodResultInfluentialSelf-citationNeuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease
Gómez‐Isla, T., Hollister, R., West, H., Mui, S., Growdon, J. H., Petersen, R. C., Parisi, J. E., & Hyman, B. T. (1997) · Annals of Neurology · doi:10.1002/ana.410410106 · Cited by 1,489
Self-citationPropagation of Tau Pathology in a Model of Early Alzheimer's Disease
de Calignon, A., Polydoro, M., Suárez-Calvet, M., William, C., Adamowicz, D. H., Kopeikina, K. J., Pitstick, R., Sahara, N., Ashe, K. H., Carlson, G. A., et al. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.033 · Cited by 1,427
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Items 101–200 of 388
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Baldacci, F., Mazzucchi, S., Vecchia, A. D., Giampietri, L., Giannini, N., Koronyo‐Hamaoui, M., Ceravolo, R., Siciliano, G., Bonuccelli, U., Elahi, F. M., et al. (2020) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2020.1731306 · Cited by 65
The Role of Astrocytes in Synapse Loss in Alzheimer's Disease: A Systematic Review
Hulshof, L. A., van Nuijs, D., Hol, E. M., & Middeldorp, J. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.899251 · Cited by 66
Staurenghi, E., Cerrato, V., Gamba, P., Testa, G., Giannelli, S., Leoni, V., Caccia, C., Buffo, A., Noble, W., Perez-Nievas, B. G., et al. (2021) · Redox Biology · doi:10.1016/j.redox.2020.101837 · Cited by 60
Self-citationGlia in Neurodegeneration: The Housekeeper, the Defender and the Perpetrator
Sheeler, C. A., Rosa, J. S., Ferro, A., McAdams, B. D., Borgenheimer, E., & Cvetanović, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239188 · Cited by 61
Teng, E., Taylor, K. M., Bilousova, T. V., Weiland, D. A., Pham, T., Zuo, X., Yang, F., Chen, P., Glabe, C. G., Takacs, A., et al. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.09.002 · Cited by 65
Tau neurotoxicity and rescue in animal models of human Tauopathies
Krüger, L., & Mandelkow, E. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.09.004 · Cited by 63
Hu, W., Feng, Z., Xu, J., Jiang, Z., & Feng, M. (2018) · Brain Research · doi:10.1016/j.brainres.2018.12.034 · Cited by 63
Croft, C. L., Wade, M. A., Kurbatskaya, K., Mastrandreas, P., Hughes, M. M., Phillips, E. C., Pooler, A. M., Perkinton, M. S., Hanger, D. P., & Noble, W. J. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.97 · Cited by 62
Walker, J. M., Kazempour Dehkordi, S., Fracassi, A., Vanschoiack, A., Pavenko, A., Taglialatela, G., Woltjer, R., Richardson, T. E., Zare, H., & Orr, M. E. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01324-9 · Cited by 59
Amyloid structure exhibits polymorphism on multiple length scales in human brain tissue
Liu, J., Costantino, I. M., Venugopalan, N., Fischetti, R. F., Hyman, B. T., Frosch, M. P., Gómez‐Isla, T., & Makowski, L. (2016) · Scientific Reports · doi:10.1038/srep33079 · Cited by 59
Self-citationTherapeutic Strategies to Target Calcium Dysregulation in Alzheimer’s Disease
Calvo-Rodríguez, M., Kharitonova, E. K., & Bacskai, B. J. (2020) · Cells · doi:10.3390/cells9112513 · Cited by 60
Alzheimer’s disease: a review on the current trends of the effective diagnosis and therapeutics
Manap, A. S. A., Almadodi, R., Sultana, S., Sebastian, M. G., Kavani, K. S., Lyenouq, V. E., & Shankar, A. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1429211 · Cited by 66
Cerebrospinal fluid ratios with Aβ 42 predict preclinical brain β‐amyloid accumulation
Racine, A. M., Koscik, R. L., Nicholas, C. R. N., Clark, L. R., Okonkwo, O. C., Oh, J. M., Hillmer, A. T., Murali, D., Barnhart, T. E., Betthauser, T. J., et al. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.11.006 · Cited by 58
Lau, H. H. C., Ingelsson, M., & Watts, J. C. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02201-2 · Cited by 57
Hurst, C. D., Pugh, D. A., Abreha, M. H., Duong, D. M., Dammer, E. B., Bennett, D. A., Herskowitz, J. H., & Seyfried, N. T. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100542 · Cited by 56
Trujillo‐Estrada, L., Dávila, J. C., Sánchez‐Mejías, E., Sanchez-Varo, R. M., Gómez-Arboledas, Á., Vizuete, M., Vitórica, J., & Gutiérrez, A. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140495 · Cited by 58
Kim, W. H., Adluru, N., Chung, M. K., Okonkwo, O. C., Johnson, S. C., Bendlin, B. B., & Singh, V. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.050 · Cited by 54
Synaptic Compensatory Plasticity in Alzheimer’s Disease
Bhembre, N., Bonthron, C., & Opazo, P. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0379-23.2023 · Cited by 56
Systems biology of neurodegenerative diseases
Wood, L. B., Winslow, A. R., & Strasser, S. D. (2015) · Integrative Biology · doi:10.1039/c5ib00031a · Cited by 56
Adami, P. V. M., Quijano, C., Magnani, N., Galeano, P., Evelson, P., Cassina, A., Carmo, S. D., Leal, M. C., Castaño, E. M., Cuello, A. C., et al. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15615132 · Cited by 53
Zhang, H., Zhang, L., Zhou, D., He, X., Wang, D., Pan, H., Zhang, X., Mei, Y., Qian, Q., Zheng, T., et al. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.07.001 · Cited by 54
Harnessing human iPSC-microglia for CNS-wide delivery of disease-modifying proteins
Chadarevian, J. P., Davtyan, H., Chadarevian, A. L., Nguyen, J., Capocchi, J. K., Le, L., Escobar, A., Chadarevian, T., Mansour, K., Deynega, E., et al. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.03.009 · Cited by 60
Jhou, J.-F., & Tai, H. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0070-z · Cited by 54
Self-citationPreparation of organotypic brain slice cultures for the study of Alzheimer’s disease
Croft, C. L., & Noble, W. J. (2018) · F1000Research · doi:10.12688/f1000research.14500.2 · Cited by 51
Neuroimaging and biomarker evidence of neurodegeneration in asthma
Rosenkranz, M. A., Dean, D., Bendlin, B. B., Jarjour, N. N., Esnault, S. J., Zetterberg, H., Heslegrave, A., Evans, M. D., Davidson, R. J., & Busse, W. W. (2021) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2021.09.010 · Cited by 51
Hampel, H. J., Vergallo, A., Caraci, F., Cuello, A. C., Lemercier, P., Vellas, B. J., Giudici, K. V., Baldacci, F., Hänisch, B., Haberkamp, M., et al. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108081 · Cited by 52
Zolochevska, O., & Taglialatela, G. (2016) · Current Pharmaceutical Design · doi:10.2174/1381612822666160518142110 · Cited by 49
Malvaso, A., Gatti, A., Negro, G., Calatozzolo, C., Medici, V., & Poloni, T. E. (2023) · Cells · doi:10.3390/cells12242824 · Cited by 54
Neurodegeneration, synaptic dysfunction, and gliosis are phenotypic of Alzheimer dementia
Merluzzi, A. P., Carlsson, C. M., Johnson, S. C., Schindler, S. E., Asthana, S., Blennow, K., Zetterberg, H., & Bendlin, B. B. (2018) · Neurology · doi:10.1212/wnl.0000000000005901 · Cited by 49
Hampel, H. J., Lista, S., Néri, C., & Vergallo, A. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101662 · Cited by 47
Pettigrew, C. A., Soldan, A., Zhu, Y., Cai, Q., Wang, M., Moghekar, A., Miller, M. I., Singh, B., Martinez, O., Fletcher, E. M., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.12.003 · Cited by 47
Nägga, K., Wattmo, C., Zhang, Y., Wahlund, L., & Palmqvist, S. (2014) · Alzheimer s Research & Therapy · doi:10.1186/alzrt271 · Cited by 47
Hopp, S. C. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24585 · Cited by 50
Gaikwad, S., Puangmalai, N., Sonawane, M., Montalbano, M., Price, R., Iyer, M. S., Ray, A., Moreno, S., & Kayed, R. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adj5958 · Cited by 46
Olsen, I., & Singhrao, S. K. (2019) · Journal of Oral Microbiology · doi:10.1080/20002297.2019.1676486 · Cited by 48
Cognitive Reserve from the Perspective of Preclinical Alzheimer Disease
Soldan, A., Pettigrew, C. A., & Albert, M. (2019) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2019.11.006 · Cited by 46
Sankar, S. B., Infante‐Garcia, C., Weinstock, L. D., Ramos‐Rodríguez, J. J., Hierro‐Bujalance, C., Fernandez-Ponce, C. M., Wood, L. B., & Garcı́a-Alloza, M. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-1707-x · Cited by 46
Park, D., Na, M., Kim, J. A., Lee, U., Cho, E., Jang, M., & Chang, S. (2017) · Science Signaling · doi:10.1126/scisignal.aam8661 · Cited by 45
Deconstructing and targeting the genomic architecture of human neurodegeneration
Jager, P. L. D., Yang, H., & Bennett, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0240-z · Cited by 46
Kok, F. K., van Leerdam, S., & de Lange, E. C. M. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-210607 · Cited by 46
Topological analyses in APP/PS1 mice reveal that astrocytes do not migrate to amyloid-β plaques
Galea, E., Morrison, W., Hudry, E., Arbel‐Ornath, M., Bacskai, B. J., Gómez‐Isla, T., Stanley, E., & Hyman, B. T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516779112 · Cited by 45
Self-citationNi, R., Röjdner, J., Voytenko, L. P., Dyrks, T., Thiele, A., Marutle, A., & Nordberg, A. K. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201344 · Cited by 42
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
Trujillo‐Estrada, L., Jiménez, S., Castro, V. D., Torres, M., Baglietto‐Vargas, D., Moreno‐González, I., Navarro, V., Sanchez-Varo, R. M., Sánchez‐Mejías, E., Dávila, J. C., et al. (2013) · Acta Neuropathologica Communications · doi:10.1186/2051-5960-1-73 · Cited by 44
Ma, X., Zhao, Y., Yang, T., Gong, N., Chen, X., Liu, G., & Xiao, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1058780 · Cited by 44
Synapse vulnerability and resilience underlying Alzheimer’s disease
Taddei, R. N., & Duff, K. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105557 · Cited by 49
Dowling, N. M., Johnson, S. C., Gleason, C. E., & Jagust, W. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.050 · Cited by 43
Amaral, A. C. S., Perez‐Nievas, B. G., Chong, M. S. T., González‐Martínez, A., Argente‐Escrig, H., Rubio‐Guerra, S., Commins, C., Muftu, S., Eftekharzadeh, B., Hudry, E., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102058 · Cited by 44
Self-citationSchaler, A. W., Runyan, A. M., Clelland, C. L. T., Sydney, E. J., Fowler, S. L., Figueroa, H. Y., Shioda, S., Santa‐María, I., Duff, K., & Myeku, N. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.aba7394 · Cited by 41
Soltys, D. T., Pereira, C. P. M., Rowies, F. T., Farfel, J. M., Grinberg, L. T., Suemoto, C. K., Leite, R. E. P., Rodriguez, R. D., Ericson, N. G., Bielas, J. H., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.015 · Cited by 41
Timmers, M., Tesseur, I. C., Bogert, J., Zetterberg, H., Blennow, K., Börjesson‐Hanson, A., Baquero, M., Boada, M., RANDOLPH, C. C., Tritsmans, L., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.03.016 · Cited by 43
Pérez-González, M., Mendióroz, M., Badesso, S., Sucunza, D., Roldán, M., Espelosin, M., Ursúa, S., Luján, R., Cuadrado‐Tejedor, M., & García‐Osta, A. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101818 · Cited by 46
Li, Q. S., Parrado, A., Samtani, M. N., Narayan, V. A., & Initiative, A. D. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134000 · Cited by 41
Muñoz-Castro, C., Noori, A., Magdamo, C. G., Li, Z., Marks, J. D., Frosch, M. P., Das, S., Hyman, B. T., & Serrano-Pozo, A. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02383-4 · Cited by 41
Self-citationVascular risk burden is a key player in the early progression of Alzheimer’s disease
Ferrari‐Souza, J. P., Brum, W. S., Hauschild, L. A., Ros, L. U. D., Ferreira, P. C. L., Bellaver, B., Leffa, D. T., Bieger, A., Tissot, C., Lussier, F. Z., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.12.008 · Cited by 40
Murray, M., & Dickson, D. (2014) · Alzheimer's Research & Therapy · doi:10.1186/alzrt254 · Cited by 39
Hyman, B. (2023) · Annual Review of Medicine · doi:10.1146/annurev-med-042921-023749 · Cited by 39
Self-citationAmyloid burden accelerates white matter degradation in cognitively normal elderly individuals
Vipin, A., Ng, K. K., Ji, F., Shim, H. Y., Lim, J. K. W., Pasternak, O., Zhou, J. H., & Initiative, A. D. N. (2019) · Human Brain Mapping · doi:10.1002/hbm.24507 · Cited by 37
Sweet, R. A., MacDonald, M. L., Kirkwood, C. M., Ding, Y., Schempf, T. A., Jones-Laughner, J., Kofler, J., Ikonomović, M. D., López, O. L., Garver, M. E., et al. (2016) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m115.056580 · Cited by 36
Self-citationTondo, G., Marchi, F. D., Bonardi, F., Menegon, F., Verrini, G., Aprile, D., Anselmi, M., Mazzini, L., & Comi, C. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13113098 · Cited by 45
Transdiagnostic In Vivo Magnetic Resonance Imaging Markers of Neuroinflammation
Oestreich, L., & O'Sullivan, M. J. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.01.003 · Cited by 36
Glennon, E. B. C., Lau, D. H. W., Gabriele, R. M. C., Taylor, M. F., Troakes, C., Opie-Martin, S., Elliott, C., Killick, R., Hanger, D. P., Perez‐Nievas, B. G., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa011 · Cited by 36
Self-citationMicroglia and modifiable life factors: Potential contributions to cognitive resilience in aging
Duggan, M. R., & Parikh, V. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113207 · Cited by 38
Yanguas‐Casás, N., Torres‐Fuentes, C., Crespo‐Castrillo, A., Díaz-Pacheco, S., Healy, K., Stanton, C., Chowen, J. A., García‐Segura, L. M., Arévalo, M., Cryan, J. F., et al. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105495 · Cited by 36
Ávila-Muñoz, E., & Arias, C. (2015) · Glia · doi:10.1002/glia.22874 · Cited by 35
Hopperton, K. E., Trépanier, M., James, N. C. E., Chouinard‐Watkins, R., & Bazinet, R. P. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2017.11.002 · Cited by 38
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data
Chakraborty, R., Zhen, X., Vogt, N., Bendlin, B. B., & Singh, V. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.01072 · Cited by 35
Gessi, S., Poloni, T. E., Negro, G., Varani, K., Pasquini, S., Vincenzi, F., Borea, P. A., & Merighi, S. (2021) · Cells · doi:10.3390/cells10092344 · Cited by 36
Fernández‐Cabello, S., Valls‐Pedret, C., Schurz, M., Dídac Vidal-piñeiro, A., Sala‐Llonch, R., Bargalló, N., Ros, E., & Bartrés‐Faz, D. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.008 · Cited by 32
Jiménez, S., Navarro, V., Moyano, J., Sanchez-Mico, M. V., Torres, M., Dávila, J. C., Vizuete, M., Gutiérrez, A., & Vitórica, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114041 · Cited by 31
Synaptic Proteome Compensation and Resilience to Psychosis in Alzheimer’s Disease
Krivinko, J. M., Erickson, S. L., Ding, Y., Sun, Z., Penzes, P., MacDonald, M. L., Yates, N. A., Ikonomović, M. D., López, O. L., Sweet, R. A., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17080858 · Cited by 33
Self-citationMielcarska, M. B., Skowrońska, K., Wyżewski, Z., & Toka, F. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms23010242 · Cited by 32
Yan, H., Feng, L., & Li, M. (2023) · Drug Design Development and Therapy · doi:10.2147/dddt.s380612 · Cited by 32
de Vries, L. E., Jongejan, A., Fortes, J. M., Balesar, R. A., Rozemüller, A. J. M., Moerland, P. D., Huitinga, I., Swaab, D. F., & Verhaagen, J. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01760-9 · Cited by 29
Alzheimer and Purinergic Signaling: Just a Matter of Inflammation?
Merighi, S., Poloni, T. E., Terrazzan, A., Moretti, E., Gessi, S., & Ferrari, D. (2021) · Cells · doi:10.3390/cells10051267 · Cited by 30
Prevention of microgliosis halts early memory loss in a mouse model of Alzheimer’s disease
Kater, M. S. J., Huffels, C. F. M., Oshima, T., Renckens, N. S., Middeldorp, J., Boddeke, E., Smit, A. B., Eggen, B. J. L., Hol, E. M., & Verheijen, M. H. G. (2022) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2022.10.009 · Cited by 30
Integrative Single-Plaque Analysis Reveals Signature Aβ and Lipid Profiles in the Alzheimer’s Brain
Enzlein, T., Lashley, T., Sammour, D. A., Hopf, C., & Chávez‐Gutiérrez, L. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.3c05557 · Cited by 28
Kim, W. H., Racine, A. M., Adluru, N., Hwang, S. J., Blennow, K., Zetterberg, H., Carlsson, C. M., Asthana, S., Koscik, R. L., Johnson, S. C., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.10.024 · Cited by 28
Single-synapse analyses of Alzheimer’s disease implicate pathologic tau, DJ1, CD47, and ApoE
Phongpreecha, T., Gajera, C. R., Liu, C. C., Vijayaragavan, K., Chang, A. L., Becker, M., Fallahzadeh, R., Fernandez, R., Postupna, N. O., Sherfield, E., et al. (2021) · Science Advances · doi:10.1126/sciadv.abk0473 · Cited by 28
Astrocyte adaptation in Alzheimer’s disease: a focus on astrocytic P2X7R
Beltran-Lobo, P., Reid, M. J., Jiménez-Sánchez, M., Verkhratsky, A., Perez‐Nievas, B. G., & Noble, W. J. (2022) · Essays in Biochemistry · doi:10.1042/ebc20220079 · Cited by 30
Self-citationCytokines and Cytokine Receptors Involved in the Pathogenesis of Alzheimers Disease
Nagae, T., & Araki, K. (2016) · Journal of Clinical & Cellular Immunology · doi:10.4172/2155-9899.1000441 · Cited by 28
Cognitive resilience in Alzheimer’s disease: Mechanism and potential clinical intervention
Jia, B., Xu, Y., & Zhu, X. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102711 · Cited by 30
Beyond the amyloid cascade: An update of Alzheimer's disease pathophysiology
Gouilly, D., Rafiq, M., Nogueira, L., Salabert, A., Payoux, P., Péran, P., & Pariente, J. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2022.12.006 · Cited by 31
Racine, A. M., for the SAGES study group, Touroutoglou, A., Abrantes, T. F., Wong, B., Fong, T. G., Cavallari, M., Travison, T. G., Gou, Y., Marcantonio, E. R., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190380 · Cited by 26
Kumari, R., Nigam, A., & Pushkar, S. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07076-w · Cited by 26
Astrocytic C–X–C motif chemokine ligand-1 mediates β-amyloid-induced synaptotoxicity
Perez‐Nievas, B. G., Johnson, L., Beltran-Lobo, P., Hughes, M. M., Gammallieri, L., Tarsitano, F., Myszczynska, M. A., Vázquez-Villaseñor, I., Jiménez-Sánchez, M., Troakes, C., et al. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02371-0 · Cited by 25
Self-citationWhole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
Berson, E., Sreenivas, A., Phongpreecha, T., Perna, A., Grandi, F. C., Xue, L., Ravindra, N. G., Payrovnaziri, S. N., Mataraso, S. J., Kim, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40611-4 · Cited by 25
Serrano‐Regal, M. P., Herrero-Labrador, R., Futch, H. S., Serrano, J., Romero, A., Fernández, A. P., Samadi, A., Unzeta, M., Marco‐Contelles, J., & Martínez‐Murillo, R. (2016) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.150209 · Cited by 26
An active cognitive lifestyle as a potential neuroprotective factor in Huntington's disease
Garcia‐Gorro, C., Garau-Rolandi, M., Escrichs, A., Rodríguez‐Dechicha, N., Vaquer, I., Subirà, S., Calopa, M., Martínez‐Horta, S., Pérez‐Pérez, J., Kulisevsky, J., et al. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.10.017 · Cited by 27
Targeting soluble amyloid-beta oligomers with a novel nanobody
Haynes, J. R., Whitmore, C. A., Behof, W. J., Landman, C. A., Ong, H. H., Feld, A. P., Suero, I. C., Greer, C. B., Gore, J. C., Wijesinghe, P., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-66970-6 · Cited by 23
Taddei, R. N., Sanchez-Mico, M. V., Bonnar, O., Connors, T. R., Gaona, A., Denbow, D., Frosch, M. P., & Gómez‐Isla, T. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01370-3 · Cited by 23
Self-citationThe Spectrum of Alzheimer-Type Pathology in Cognitively Normal Individuals
Walker, J. M., Dehkordi, S. K., Schaffert, J., Goette, W. F., White, C. L., Richardson, T. E., & Zare, H. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220898 · Cited by 26
Rodríguez-Callejas, J. D., Fuchs, E., & Perez‐Cruz, C. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.04.010 · Cited by 23
Changes in Glutathione Redox Potential Are Linked to Aβ42-Induced Neurotoxicity
Stapper, Z. A., & Jahn, T. R. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.052 · Cited by 23
Jury-Garfe, N., Redding-Ochoa, J., You, Y., Martínez, P., Karahan, H., Chimal-Juárez, E., Johnson, T. S., Zhang, J., Resnick, S., Kim, J., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02775-1 · Cited by 22
“Specifically, studies have demonstrated that AsymAD brains exhibit no signs of notorious synaptic or neuronal deterioration [8, 42, 73] and, intriguingly, even show larger nuclei and cellular sizes than age-matched healthy controls [79].”
BackgroundResultInfluentialSynapse vulnerability and resilience across the clinical spectrum of dementias
Taddei, R. N., & Duff, K. (2025) · Nature Reviews Neurology · doi:10.1038/s41582-025-01094-7 · Cited by 26
Schmidt-Morgenroth, I., Michaud, P., Gasparini, F., & Avraméas, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310523 · Cited by 26
Future Directions in Imaging Neurodegeneration
Masdeu, J. C. (2017) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-017-0718-1 · Cited by 22
Vergallo, A., Lemercier, P., Cavedo, E., Lista, S., Vanmechelen, E., Vos, A. D., Zetterberg, H., Blennow, K., Habert, M., Potier, M., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12228 · Cited by 21
Beltran-Lobo, P., Hughes, M. M., Troakes, C., Croft, C. L., Rupawala, H., Jutzi, D., Ruepp, M., Jiménez-Sánchez, M., Perkinton, M. S., Kassiou, M., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.09.011 · Cited by 21
Self-citation
Metadata
- Authors
- Perez-Nievas, B. G., Stein, T. D., Tai, H.-C., Dols-Icardo, O., Scotton, T. C., Barroeta-Espar, I., Fernandez-Carballo, L., de Munain, E. L., Perez, J., Marquie, M., Serrano-Pozo, A., Frosch, M. P., Lowe, V., Parisi, J. E., Petersen, R. C., Ikonomovic, M. D., López, O. L., Klunk, W., Hyman, B. T., & Gómez-Isla, T.
- Affiliations
- Harvard University (US)
- Mayo Clinic (US)
- University of Pittsburgh (US)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-07-03
- Volume
- 136
- Issue
- 8
- Pages
- 2510-2526
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3722351
- OpenAlex
- W1978991736
- Cited by
- 387
- References
- 67
- Citations by year
- 2026: 30 · 2025: 27 · 2024: 28 · 2023: 38 · 2022: 34 · 2021: 46 · 2020: 37 · 2019: 29 · 2018: 36 · 2017: 18 · 2016: 18 · 2015: 22 · 2014: 20 · 2013: 3
- FWCI
- 14.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01 CX001038)
- National Institutes of Health
- National Institute on Aging (AG-005133, R01AG043511, P50AG005133, U01AG016976, P50AG005134, P30AG062421, P50AG016574)
- 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, tau hyperphosphorylation, soluble amyloid-beta oligomers, synaptic integrity, axon morphology, glial activation, superior temporal sulcus, association cortex, dementia
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cognition, Humans, Neuroglia, Neurons, Phenotype, Neurofibrillary Tangles, tau Proteins, Resilience, Psychological, Plaque, Amyloid
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