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Amyloid-β-independent regulators of tau pathology in Alzheimer disease
Open accessAbstract
The global epidemic of Alzheimer disease (AD) is worsening, and no approved treatment can revert or arrest progression of this disease. AD pathology is characterized by the accumulation of amyloid-β (Aβ) plaques and tau neurofibrillary tangles in the brain. Genetic data, as well as autopsy and neuroimaging studies in patients with AD, indicate that Aβ plaque deposition precedes cortical tau pathology. Because Aβ accumulation has been considered the initial insult that drives both the accumulation of tau pathology and tau-mediated neurodegeneration in AD, the development of AD therapeutics has focused mostly on removing Aβ from the brain. However, striking preclinical evidence from AD mouse models and patient-derived human induced pluripotent stem cell models indicates that tau pathology can progress independently of Aβ accumulation and arises downstream of genetic risk factors for AD and aberrant metabolic pathways. This Review outlines novel insights from preclinical research that implicate apolipoprotein E, the endocytic system, cholesterol metabolism and microglial activation as Aβ-independent regulators of tau pathology. These factors are discussed in the context of emerging findings from clinical pathology, functional neuroimaging and other approaches in humans. Finally, we discuss the implications of these new insights for current Aβ-targeted strategies and highlight the emergence of novel therapeutic strategies that target processes upstream of both Aβ and tau.
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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
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Corder, 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
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493
Triple-Transgenic Model of Alzheimer’s Disease with Plaques and Tangles
Oddo, S., Caccamo, A., Shepherd, J. D., Murphy, M. P., Golde, T. E., Kayed, R., Metherate, R., Mattson, M. P., Akbari, Y., & LaFerla, F. M. (2003) · Neuron · doi:10.1016/s0896-6273(03)00434-3 · Cited by 4,126
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345
Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979
Research works printed but not linked: 7
- Kemp, A. Update on phase III clinical trials of lanabecestat for Alzheimer’s disease. AstraZeneca https://www.astrazeneca.com/media-centre/press-releases/2018/update-on-phase-iii-clinical-trials-of-lanabecestat-for-alzheimers-disease-12062018.html (2018).
- Jansen, W. J. et al. Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. JAMA 313, 1924–1938 (2015). This large meta-analysis provides prevalence estimates of Aβ positivity in cognitively normal persons and patients with MCI. · DOI · Paper page
- Cho, H. et al. Progressive tau accumulation in Alzheimer’s disease: two-year follow-up study. J. Nucl. Med. 60, 1611–1621 (2019). · DOI · Paper page
- Hutter-Paier, B. et al. The ACAT inhibitor CP-113,818 markedly reduces amyloid pathology in a mouse model of Alzheimer’s disease. Neuron 44, 227–238 (2004). This study shows that cholesteryl esters can drive accumulation of Aβ pathology in AD mice and that ACAT inhibitors have potential utility in the treatment of AD. · DOI · Paper page
- Mecozzi, V. J. et al. Pharmacological chaperones stabilize retromer to limit APP processing. Nat. Chem. Biol. 10, 443–449 (2014). This revolutionary biochemical study uses in silico screening to discover a small molecule that is capable of stabilizing the retromer complex. · DOI · Paper page
- Shi, Y. et al. ApoE4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy. Nature 549, 523–527 (2017). This elegant mouse study shows that the ApoE*4 genotype affects tau pathology in the absence of Aβ pathology. · DOI · Paper page
- Santacruz, K. et al. Tau suppression in a neurodegenerative mouse model improves memory function. Science 309, 476–481 (2005). This is the first study to show that reducing tau expression in tau transgenic mice can rescue neuronal loss and behavioural deficits, even when extensive neurofibrillary tangles are already present. · DOI · Paper page
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Newton, P., the BIOCARD Research Team, Tchounguen, J., Pettigrew, C., Lim, C., Lin, Z., Lu, H., Moghekar, A., Albert, M., & Soldan, A. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-220846 · Cited by 23
Gao, D., Li, P., Gao, F., Feng, Y., Li, X., Li, D., Li, Y., & Xiao, Y. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/9466166 · Cited by 23
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Zhao, Y., Guo, Q., Tian, J., Liu, W., & Wang, X. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102596 · Cited by 23
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Duan, L., Hao, Z., Ji, R., Li, X., Wang, H., Su, Y., Guan, F., & Ma, S. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.131739 · Cited by 22
Lim, C. Z. J., Natalia, A., Sundah, N. R., & Shao, H. (2020) · Advanced Biosystems · doi:10.1002/adbi.201900309 · Cited by 23
Jia, C., Chai, J., Zhang, S., Sun, Y., He, L., Sang, Z., Chen, D., & Zheng, X. (2025) · Marine Drugs · doi:10.3390/md23030091 · Cited by 21
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Liu, Y., Hong, T., Lv, M., Guo, X., Zhang, P. Y., Yan, A., & Wei, W. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01783-x · Cited by 20
Jiao, B., Xiao, X., Yuan, Z., Guo, L., Liao, X., Zhou, Y., Zhou, L., Wang, X., Liu, X., Liu, H., et al. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01258-1 · Cited by 20
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Wei, S., Ma, X., Chen, Y., Wang, J., Hu, L., Liu, Z., Mo, L.-D., Zhou, N., Chen, W.-R., Zhu, H., et al. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04579-6 · Cited by 20
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Shinohara, M., Hirokawa, J., Shimodaira, A., Tashiro, Y., Suzuki, K., Gheni, G., Fukumori, A., Matsubara, T., Morishima, M., Saito, Y., et al. (2021) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlab047 · Cited by 16
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Tang, Y., Zhao, D., Yang, F., Pang, G., Sun, Z., Chang, J. K., & Dou, Y. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.134352 · Cited by 15
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Zhao, T., & Jia, J. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14581 · Cited by 16
Martens, N., Zhan, N., Yam, S. C., Leijten, F. P. J., Palumbo, M., Caspers, M. P. M., Tiane, A., Friedrichs, S., Li, Y., der Zee, L. V. V., et al. (2024) · Nutrients · doi:10.3390/nu16111614 · Cited by 15
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Zhu, Y., Guo, X., Zhu, F., Zhang, Q., Yang, Y., & Initiative, A. D. N. (2022) · Cells · doi:10.3390/cells12010013 · Cited by 13
Gao, Y., Wang, Y., Lei, H., Xu, Z., Li, S., Yu, H., Xie, J., Zhang, Z., Liu, G., Zhang, Y., et al. (2023) · Translational Neurodegeneration · doi:10.1186/s40035-023-00379-5 · Cited by 13
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Yang, X., Yao, K., Zhang, M., Zhang, W., & Zu, H. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111321 · Cited by 12
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Gomaa, A. A., Farghaly, H. S. M., Ahmed, A. M., El‐Mokhtar, M. A., & Hemida, F. K. (2022) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2022.174873 · Cited by 12
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Self-citationBae, S.-J., Lee, W.-Y., Bak, S. B., Lee, S. J., Hwang, S., Kim, G.-W., Koo, B., Park, S., Yoo, H. H., Kim, C. O., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042313 · Cited by 12
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Zhang, L., Liu, Y., Wang, X., Wu, H., Xie, J., & Liu, Y. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111280 · Cited by 12
Cho, E., Lee, J., Sin, J. S., Kim, S., Kim, C. J., Park, M. H., Cho, W., Moon, M., Kim, D. H., & Jung, J. W. (2022) · Food and Chemical Toxicology · doi:10.1016/j.fct.2022.112847 · Cited by 12
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Emoto, M. C., Sato‐Akaba, H., Hamaue, N., Kawanishi, K., Koshino, H., Shimohama, S., & Fujii, H. G. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.05.035 · Cited by 12
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Sun, X., Tang, Y., Wang, X., Curia, G. P., Sternke‐Hoffmann, R., Mörman, C., Gerez, J., Riek, R., Wei, G., & Luo, J. (2026) · Nature Communications · doi:10.1038/s41467-026-70083-1 · Cited by 11
Maria Jose Perez, J., Lam, A., Weissleder, C., Bertoli, F., Raji, H., Bosch, M., Nemazanyy, I., Kalb, S., Kehili, M., Hirschberg, I., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02320-1 · Cited by 15
Metadata
- Authors
- van der Kant, R., Goldstein, L. S. B., & Ossenkoppele, R.
- Affiliations
- University of California San Diego (US)
- Lund University (SE)
- Venue
- Nature reviews. Neuroscience
- Published
- 2019-11-28
- Volume
- 21
- Issue
- 1
- Pages
- 21-35
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2989855650
- Cited by
- 580
- References
- 216
- Citations by year
- 2026: 57 · 2025: 89 · 2024: 93 · 2023: 89 · 2022: 95 · 2021: 95 · 2020: 61
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- green
- research.vu.nl
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Lund University Publications (Lund University) (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institute on Aging (RF1AG048083)
- 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, tau pathology, amyloid-beta, apolipoprotein E, cholesterol metabolism, microglial activation, induced pluripotent stem cell models, mouse model
- MeSH terms
- Alzheimer Disease, Animals, Apolipoproteins E, Cholesterol, Endocytosis, Humans, Amyloid beta-Peptides, tau Proteins, Microglia, Plaque, Amyloid
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