The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
Regional distribution of synaptic markers and APP correlate with distinct clinicopathological features in sporadic and familial Alzheimer’s disease
Open accessAbstract
Recent studies suggest that subcortical structures, including striatum, are vulnerable to amyloid-β accumulation and other neuropathological features in familial Alzheimer's disease due to autosomal dominant mutations. We explored differences between familial and sporadic Alzheimer's disease that might shed light on their respective pathogenic mechanisms. To this end, we analysed 12 brain regions, including neocortical, limbic and subcortical areas, from post-mortem brains of familial Alzheimer's disease (n = 10; age at death: 50.0 ± 8.6 years) with mutations in amyloid precursor protein (APP) or presenilin 1 (PSEN1), sporadic Alzheimer's disease (n = 19; age at death: 84.7 ± 7.8 years), neurologically normal elderly without amyloid-β accumulation (normal ageing; n = 13, age at death: 82.9 ± 10.8 years) and neurologically normal elderly with extensive cortical amyloid-β deposits (pathological ageing; n = 15; age at death: 92.7 ± 5.9 years). The levels of amyloid-β₄₀, amyloid-β₄₂, APP, apolipoprotein E, the synaptic marker PSD95 (now known as DLG4), the astrocyte marker GFAP, other molecules related to amyloid-β metabolism, and tau were determined by enzyme-linked immunosorbent assays. We observed that familial Alzheimer's disease had disproportionate amyloid-β₄₂ accumulation in subcortical areas compared with sporadic Alzheimer's disease, whereas sporadic Alzheimer's disease had disproportionate amyloid-β₄₂ accumulation in cortical areas compared to familial Alzheimer's disease. Compared with normal ageing, the levels of several proteins involved in amyloid-β metabolism were significantly altered in both sporadic and familial Alzheimer's disease; however, such changes were not present in pathological ageing. Among molecules related to amyloid-β metabolism, the regional distribution of PSD95 strongly correlated with the regional pattern of amyloid-β₄₂ accumulation in sporadic Alzheimer's disease and pathological ageing, whereas the regional distribution of APP as well as β-C-terminal fragment of APP were strongly associated with the regional pattern of amyloid-β₄₂ accumulation in familial Alzheimer's disease. Apolipoprotein E and GFAP showed negative regional association with amyloid-β (especially amyloid-β₄₀) accumulation in both sporadic and familial Alzheimer's disease. Familial Alzheimer's disease had greater striatal tau pathology than sporadic Alzheimer's disease. In a retrospective medical record review, atypical signs and symptoms were more frequent in familial Alzheimer's disease compared with sporadic Alzheimer's disease. These results suggest that disproportionate amyloid-β₄₂ accumulation in cortical areas in sporadic Alzheimer's disease may be mediated by synaptic processes, whereas disproportionate amyloid-β₄₂ accumulation in subcortical areas in familial Alzheimer's disease may be driven by APP and its processing. Region-specific amyloid-β₄₂ accumulation might account for differences in the relative amounts of tau pathology and clinical symptoms in familial and sporadic Alzheimer's disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Positive regional associations between LRP1 and insoluble Aβ42 levels have also been detected in individuals without dementia (12) and in familial AD cases (13).”
From APOE4-mediated amyloid-β pathology depends on its neuronal receptor LRP1 (2019) · cites this paper as [13]
In the citing paper
“Currently it is known that the distribution of Aβ and tau accumulation is different in FAD and sAD, with more present in subcortical regions in FAD [147].”
From Alzheimer's disease: experimental models and reality (2017) · cites this paper as [147]
In the citing paper
“and atypical cognitive symptoms are more likely to be present in FAD [147].”
From Alzheimer's disease: experimental models and reality (2017) · cites this paper as [147]
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Self-citationPhases 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
2013 Alzheimer's disease facts and figures
Thies, W. H., & Bleiler, L. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.02.003 · Cited by 3,372
Scheuner, D., Eckman, C., Jensen, M., Song, X., Citron, M., Suzuki, N., Bird, T. D., Hardy, J., Hutton, M., Kukull, W., et al. (1996) · Nature Medicine · doi:10.1038/nm0896-864 · Cited by 2,599
Karran, E., Mercken, M., & Strooper, B. D. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3505 · Cited by 2,188 · cited 4×
“Although an increase in production of amyloid-b42 or increased ratio of amyloid-b42 to amyloid-b40 is clearly implicated in the pathogenesis of familial Alzheimer’s disease (Karran et al., 2011), it remains unknown how amyloid-b metabolism is disturbed and thus involved in sporadic Alzheimer’s disease.”
InfluentialBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140
Iwatsubo, T., Odaka, A., Suzuki, N., Mizusawa, H., Nukina, N., & Ihara, Y. (1994) · Neuron · doi:10.1016/0896-6273(94)90458-8 · Cited by 1,774
Citron, M., Oltersdorf, T., Haass, C., McConlogue, L., Hung, A. Y., Seubert, P., Vigo-Pelfrey, C., Lieberburg, I., & Selkoe, D. J. (1992) · Nature · doi:10.1038/360672a0 · Cited by 1,757
Increased amyloid-β42(43) in brains of mice expressing mutant presenilin 1
Duff, K., Eckman, C., Zehr, C., Yu, X., Prada, C.-M., Pérez‐Tur, J., Hutton, M., Buée, L., Harigaya, Y., Yager, D., et al. (1996) · Nature · doi:10.1038/383710a0 · Cited by 1,486
Cited by
Sorted by citations
Alzheimer's disease: experimental models and reality
Drummond, E., & Wisniewski, T. (2017) · Acta Neuropathologica · doi:10.1007/s00401-016-1662-x · Cited by 810
Rodriguez‐Vieitez, E., Saint‐Aubert, L., Carter, S. F., Almkvist, O., Farid, K., Schöll, M., Chiotis, K., Þórðardóttir, S., Graff, C., Wall, A. E., et al. (2016) · Brain · doi:10.1093/brain/awv404 · Cited by 307
Shinohara, M., Tachibana, M., Kanekiyo, T., & Bu, G. (2017) · Journal of Lipid Research · doi:10.1194/jlr.r075796 · Cited by 297
Self-citationKanekiyo, T., & Bu, G. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00093 · Cited by 281
Self-citationde Wilde, M. C., Overk, C., Sijben, J., & Masliah, E. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.12.005 · Cited by 287
Zhang, Y., Dong, Z., Phillips, P., Wang, S., Ji, G., Yang, J., & Yuan, T. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00066 · Cited by 285
Astrocytic LRP1 Mediates Brain Aβ Clearance and Impacts Amyloid Deposition
Liu, C.-C., Hu, J., Zhao, N., Wang, J., Wang, N., Cirrito, J. R., Kanekiyo, T., Holtzman, D. M., & Bu, G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3442-16.2017 · Cited by 267
Self-citationProteomic differences in amyloid plaques in rapidly progressive and sporadic Alzheimer’s disease
Drummond, E., Nayak, S., Faustin, A., Pires, G., Hickman, R. A., Askenazi, M., Cohen, M., Haldiman, T., Kim, C., Han, X., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1691-0 · Cited by 239
Plant alkaloids as drug leads for Alzheimer's disease
Ng, Y. P., Or, T. C. T., & Ip, N. Y. (2015) · Neurochemistry International · doi:10.1016/j.neuint.2015.07.018 · Cited by 239
Identification of early pericyte loss and vascular amyloidosis in Alzheimer’s disease retina
Shi, H., Koronyo, Y., Rentsendorj, A., Regis, G. C., Sheyn, J., Fuchs, D.-T., Kramerov, A. A., Ljubimov, A. V., Dumitrascu, O. M., Rodriguez, A. R., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02134-w · Cited by 230
APOE ε4/ε4 diminishes neurotrophic function of human iPSC-derived astrocytes
Zhao, J., Davis, M. D., Martens, Y. A., Shinohara, M., Graff-Radford, N. R., Younkin, S. G., Wszolek, Z. K., Kanekiyo, T., & Bu, G. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx155 · Cited by 221
Self-citationYamazaki, Y., Shinohara, M., Shinohara, M., Yamazaki, A., Murray, M. E., Liesinger, A. M., Heckman, M. G., Lesser, E. R., Parisi, J. E., Petersen, R. C., et al. (2019) · Brain · doi:10.1093/brain/awz011 · Cited by 202
Self-citationSynaptic proteins predict cognitive decline in Alzheimer's disease and Lewy body dementia
Bereczki, E., Francis, P. T., Howlett, D., Pereira, J. B., Höglund, K., Bogstedt, A., Cedazo‐Minguez, A., Baek, J., Hortobágyi, T., Attems, J., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.04.005 · Cited by 167
APOE4-mediated amyloid-β pathology depends on its neuronal receptor LRP1
Tachibana, M., Holm, M.-L., Liu, C.-C., Shinohara, M., Aikawa, T., Oue, H., Yamazaki, Y., Martens, Y. A., Murray, M. E., Sullivan, P. M., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124853 · Cited by 156
Self-citationBhattacharjee, S., Zhao, Y., Dua, P., Rogaev, E. I., & Lukiw, W. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0150211 · Cited by 147
Molecular properties underlying regional vulnerability to Alzheimer’s disease pathology
Grothe, M. J., Sepulcre, J., Gonzalez-Escamilla, G., Jelistratova, I., Schöll, M., Hansson, O., Teipel, S. J., & Initiative, A. D. N. (2018) · Brain · doi:10.1093/brain/awy189 · Cited by 142
Goulay, R., Romo, L. M., Hol, E. M., & Dijkhuizen, R. M. (2019) · Translational Stroke Research · doi:10.1007/s12975-019-00755-2 · Cited by 144
APOE ε2 is associated with increased tau pathology in primary tauopathy
Zhao, N., Liu, C.-C., Van Ingelgom, A. J., Linares, C., Kurti, A., Knight, J. A., Heckman, M. G., Diehl, N. N., Shinohara, M., Martens, Y. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06783-0 · Cited by 139
Self-citationKurbatskaya, K., Phillips, E. C., Croft, C. L., Dentoni, G., Hughes, M. M., Wade, M. A., Al‐Sarraj, S., Troakes, C., O’Neill, M. J., Perez‐Nievas, B. G., et al. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0299-2 · Cited by 133
Impact of sex and APOE4 on cerebral amyloid angiopathy in Alzheimer’s disease
Shinohara, M., Murray, M. E., Frank, R. D., Shinohara, M., DeTure, M., Yamazaki, Y., Tachibana, M., Atagi, Y., Davis, M. D., Liu, C.-C., et al. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1580-y · Cited by 123
Self-citationZinc Finger Proteins in Neuro-Related Diseases Progression
Bu, S., Lv, Y., Liu, Y., Qiao, S., & Wang, H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.760567 · Cited by 106
Ringman, J. M., Monsell, S., Ng, D. W., Zhou, Y., Nguyen, A., Coppola, G., Van Berlo, V., Mendez, M. F., Tung, S., Weintraub, S., et al. (2016) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlv028 · Cited by 99
APOE2 eases cognitive decline during Aging: Clinical and preclinical evaluations
Shinohara, M., Kanekiyo, T., Yang, L., Linthicum, D., Shinohara, M., Fu, Y., Price, L., Frisch‐Daiello, J. L., Han, X., Fryer, J. D., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24628 · Cited by 111
Self-citationGenetic Heterogeneity in Alzheimer Disease and Implications for Treatment Strategies
Dominantly Inherited Alzheimer Network, Ringman, J. M., Goate, A., Masters, C. L., Cairns, N. J., Danek, A., Graff-Radford, N., Ghetti, B., & Morris, J. C. (2014) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0499-8 · Cited by 96
Self-citationTraditional Ayurvedic and herbal remedies for Alzheimer’s disease: from bench to bedside
Sharma, R., Kuča, K., Nepovimová, E., Kabra, A., Rao, M. C., & Prajapati, P. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1596803 · Cited by 91
Stefanova, N. A., Maksimova, K. Y., Владимировна, К. Е., Rudnitskaya, E. A., Muraleva, N. A., & Kolosova, N. G. (2015) · Journal of Pineal Research · doi:10.1111/jpi.12248 · Cited by 84
Muratore, C., Zhou, C. Q., Liao, M., Fernandez, M. A., Taylor, W. M., Lagomarsino, V. N., Pearse, R. V., Rice, H. C., Negri, J. M., He, A., et al. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2017.10.015 · Cited by 82
Early Life Stress and Epigenetics in Late-onset Alzheimer’s Dementia: A Systematic Review
Lemche, E. (2018) · Current Genomics · doi:10.2174/1389202919666171229145156 · Cited by 84
Loeffler, D. A. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230025 · Cited by 90
Cohen, A. D., McDade, E., Christian, B. T., Price, J. C., Mathis, C. A., Klunk, W. E., & Handen, B. L. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.01.002 · Cited by 79
Stefanova, N. A., Muraleva, N. A., Maksimova, K. Y., Rudnitskaya, E. A., Владимировна, К. Е., Telegina, D. V., & Kolosova, N. G. (2016) · Aging · doi:10.18632/aging.101054 · Cited by 78
Bejanin, A., Iulita, M. F., Vilaplana, E., Carmona-Iragui, M., Benejam, B., Videla, L., Barroeta, I., Fernandez, S., Altuna, M., Pegueroles, J., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.1893 · Cited by 76
Minjarez, B. D., Calderón-González, K. G., Rustarazo, M. L. V., Herrera-Aguirre, M. E., Labra‐Barrios, M. L., Rincón-Limas, D. E., del Pino, M. M. S., Mena, R., & Luna‐Arias, J. P. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.03.022 · Cited by 75
Visualization of regional tau deposits using 3H-THK5117 in Alzheimer brain tissue
Lemoine, L., Saint‐Aubert, L., Marutle, A., Antoni, G., Eriksson, J., Ghetti, B. F., Okamura, N., Nennesmo, I., Gillberg, P.-G., & Nordberg, A. K. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0220-4 · Cited by 65
Kaur, P., Muthuraman, A., & Kaur, M. (2015) · ACS Chemical Neuroscience · doi:10.1021/cn500363g · Cited by 64
The Role of KLF4 in Alzheimer’s Disease
Cheng, Z., Zou, X., Jin, Y., Gao, S., Lv, J., Li, B., & Cui, R. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00325 · Cited by 62
Neurogranin as a Novel Biomarker in Alzheimer’s Disease
Agnello, L., Gambino, C. M., Sasso, B. L., Bivona, G., Milano, S., Ciaccio, A. M., Piccoli, T., Bella, V. L., & Ciaccio, M. (2020) · Laboratory Medicine · doi:10.1093/labmed/lmaa062 · Cited by 61
Zhang, Y., Wang, S., Phillips, P., Yang, J., & Yuan, T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150988 · Cited by 58
Buchanan, H. M., Mackay, M., PALMER, K., Tothová, K., Katsur, M., Platt, B., & Koss, D. J. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-01950-1 · Cited by 58
Ishida, K., Misawa, K., Nishimura, H., Hirata, T., Yamamoto, M., & Ota, N. (2020) · Nutrients · doi:10.3390/nu12020494 · Cited by 53
Kempf, S. J., Janik, D., Barjaktarović, Ž., Braga-Tanaka, I., Tanaka, S., Neff, F., Saran, A., Larsen, M. R., & Tapio, S. (2016) · Oncotarget · doi:10.18632/oncotarget.12376 · Cited by 47
Vöglein, J., Paumier, K. L., Jucker, M., Preische, O., McDade, E., Hassenstab, J. J., Benzinger, T. L. S., Noble, J. M., Berman, S., Graff‐Radford, N. R., et al. (2019) · Brain · doi:10.1093/brain/awz050 · Cited by 46
Self-citationAlcendor, D. J. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051490 · Cited by 47
He, Y., Ruganzu, J. B., Zheng, Q., Wu, X., Jin, H., Peng, X., Ding, B., Lin, C., Ji, S., Ma, Y., et al. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-01982-7 · Cited by 47
Ni, 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
Fungicide Residues Exposure and β-amyloid Aggregation in a Mouse Model of Alzheimer’s Disease
Lafon, P., Wang, Y., Arango-Lievano, M., Torrent, J., Salvador-Prince, L., Mansuy, M., Mestre‐Francés, N., Givalois, L., Liu, J., Mercader, J. V., et al. (2020) · Environmental Health Perspectives · doi:10.1289/ehp5550 · Cited by 43
Triaca, V., & Calissano, P. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.193224 · Cited by 40
Sanchez-Varo, R. M., Sánchez‐Mejías, E., Fernandez-Valenzuela, J. J., Castro, V. D., Mejias‐Ortega, M., Gómez-Arboledas, Á., Jiménez, S., Sanchez-Mico, M. V., Trujillo‐Estrada, L., Moreno‐González, I., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.752594 · Cited by 42
Liu, H., Kim, C., Haldiman, T., Sigurdson, C. J., Nyström, S., Nilsson, K. P. R., Cohen, M. L., Wısnıewskı, T., Hammarström, P., & Safar, J. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.101267 · Cited by 37
Molecular and cellular mechanisms of sporadic Alzheimer’s disease: Studies on rodent models in vivo
Gulyaeva, N. V., Bobkova, N. V., Kolosova, N. G., Samokhin, A. N., Stepanichev, M. Y., & Stefanova, N. A. (2017) · Biochemistry (Moscow) · doi:10.1134/s0006297917100029 · Cited by 39
Late-onset dementia: a mosaic of prototypical pathologies modifiable by diet and lifestyle
Mattson, M. P. (2015) · npj Aging and Mechanisms of Disease · doi:10.1038/npjamd.2015.3 · Cited by 34
Blood–Brain Barrier ( BBB ) Dysfunction in CNS Diseases: Paying Attention to Pericytes
Yu, T., Wang, Z., Chen, Y., Xiang, Y., Wu, M., Zhang, M., Yin, X., & Chen, Z. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70422 · Cited by 37
Identification of plexin A4 as a novel clusterin receptor links two Alzheimer’s disease risk genes
Kang, S. S., Kurti, A., Wojtas, A., Baker, K. E., Liu, C., Kanekiyo, T., Deming, Y. K., Cruchaga, C., Estus, S., Bu, G., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw188 · Cited by 33
Self-citationBelloso-Iguerategui, A., Zamarbide, M., Merino-Galán, L., Rodríguez-Chinchilla, T., Gago, B., Santamaría, E., Fernández‐Irigoyen, J., Cotman, C. W., Prieto, G. A., Quiroga‐Varela, A., et al. (2023) · Brain · doi:10.1093/brain/awad227 · Cited by 33
Zukotynski, K., Kuo, P. H., Mikulis, D. J., Rosa‐Neto, P., Strafella, A. P., Subramaniam, R. M., & Black, S. E. (2018) · American Journal of Roentgenology · doi:10.2214/ajr.18.19822 · Cited by 31
The current landscape in Alzheimer’s disease research and drug discovery
Devenish, S. R. A. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.04.002 · Cited by 28
Qin, G., Wang, Y., Liu, Z., Mana, L., Huang, S., & Wang, P. (2021) · 3 Biotech · doi:10.1007/s13205-021-02900-x · Cited by 26
Na, H., Gan, Q., Mcparland, L., Yang, J. B., Yao, H., Tian, H., Zhang, Z., & Qiu, W. Q. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108017 · Cited by 26
Meco, A. D., Joshi, Y. B., Lauretti, E., & Praticò, D. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.78 · Cited by 27
Su, Y. Y., Zhang, X. D., Schoepf, U. J., Varga‐Szemes, Á., Stubenrauch, A. C., Liang, X., Zheng, L. J., Zheng, G., Kong, X., Xu, Q., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9556-z · Cited by 25
Zhou, Q., Luo, L., Wang, X., & Li, X. (2019) · Bioscience Reports · doi:10.1042/bsr20182485 · Cited by 25
Shinohara, M., Koga, S., Konno, T., Nix, J., Shinohara, M., Aoki, N., Das, P., Parisi, J. E., Petersen, R. C., Rosenberry, T. L., et al. (2017) · Brain · doi:10.1093/brain/awx284 · Cited by 24
Self-citation5-HT3 Antagonist Ondansetron Increases apoE Secretion by Modulating the LXR-ABCA1 Pathway
Shinohara, M., Shinohara, M., Zhao, J., Fu, Y., Liu, C., Kanekiyo, T., & Bu, G. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061488 · Cited by 23
Self-citationAhmad, S. S., Khan, S. M., Kamal, M. A., & Wasi, U. (2019) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527318666191011145941 · Cited by 24
Moon, S. Y., Shin, S.-A., Oh, Y., Park, H. H., & Lee, C. S. (2018) · Genes · doi:10.3390/genes9120597 · Cited by 21
Wang, M., Ramasamy, V. S., Samidurai, M., & Jo, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-47452-6 · Cited by 22
Frontal-subcortical behaviors during Alzheimer's disease in individuals with Down syndrome
Fonseca, L. M., Mattar, G. P., Haddad, G. G., Gonçalves, A. S., Miguel, A. C., Guilhoto, L. M. D. F. F., Zaman, S. H., Holland, A. J., Bottino, C. M. D. C., & Hoexter, M. Q. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.02.028 · Cited by 21
Shinohara, M., Tashiro, Y., Shinohara, M., Hirokawa, J., Suzuki, K., Onishi‐Takeya, M., Mukouzono, M., Takeda, S., Saito, T., Fukumori, A., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201901028rr · Cited by 21
Self-citationComparison of longitudinal Aβ in nondemented elderly and Down syndrome
Tudorascu, D., Anderson, S., Minhas, D. S., Yu, Z., COMER, D. M., Lao, P. J., Hartley, S. L., Laymon, C. M., Snitz, B. E., Lopresti, B. J., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.030 · Cited by 22
Chen, S., Wu, H., Song, Y., Ge, H., Yan, Z., Xue, C., Qi, W., Yuan, Q., Lin, X., & Chen, J. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.115000 · Cited by 20
The Use of Random Forests to Classify Amyloid Brain PET
Zukotynski, K., Gaudet, V., Kuo, P. H., Adamo, S. M., Goubran, M., Scott, C. J. M., Bocti, C., BORRIE, M. J., Chertkow, H. M., Frayne, R., et al. (2019) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000002747 · Cited by 19
Raj, A., Torok, J., & Ranasinghe, K. G. (2025) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2025.102750 · Cited by 20
Mohammadi, H., Ariaei, A., Ghobadi, Z., Gorgich, E. A. C., & Rustamzadeh, A. (2024) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2024.02.007 · Cited by 18
Hu, Z., Yuan, Y.-Q., Tong, Z., Liao, M., Yuan, S., Wu, W., Tang, Y., Wang, Y., Tang, C., & Liu, W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612847 · Cited by 18
Zhang, M., Wu, Q., Zhao, R., Yao, X., Du, X., Liu, Q., Lv, G., & Xiao, S. (2021) · Food & Function · doi:10.1039/d1fo01306h · Cited by 16
Wang, X.-B., Cui, N.-H., Yang, J., Qiu, X.-P., Gao, J.-J., Yang, N., & Zheng, F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111406 · Cited by 15
ELISA Evaluation of Tau Accumulation in the Brains of Patients with Alzheimer Disease
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
Self-citationZukotynski, K., Gaudet, V., Kuo, P. H., Adamo, S. M., Goubran, M., Scott, C. J. M., Bocti, C., BORRIE, M. J., Chertkow, H. M., Frayne, R., et al. (2020) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000003043 · Cited by 14
Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer’s disease
Levitis, E., Vogel, J. W., Funck, T., Hachinski, V., Gauthier, S. G., Vöglein, J., Levin, J., Gordon, B. A., Benzinger, T. L. S., Iturria‐Medina, Y., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac085 · Cited by 13
Tau accumulation in autosomal dominant Alzheimer’s disease: a longitudinal [18F]flortaucipir study
O’Connor, A., Cash, D. M., Poole, T., Markiewicz, P. J., Fraser, M. R., Malone, I. B., Jiao, J., Weston, P. S. J., Flores, S. E., Hornbeck, R. C., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01234-5 · Cited by 15
Mammalian Models in Alzheimer’s Research: An Update
Sharma, H., Chang, K., Hulme, J., & An, S. S. A. (2023) · Cells · doi:10.3390/cells12202459 · Cited by 12
Wojsiat, J., Laskowska-Kaszub, K., Alquézar, C., Białopiotrowicz, E., Esteras, N., Zdioruk, M. I., Martín‐Requero, Á., & Wojda, U. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0105-y · Cited by 11
Role of Lipid Peroxidation Process in Neurodegenerative Disorders
Muthuraman, A., Rishitha, N., Paramakrishnan, N., Bhaskaran, M., & Ramesh, M. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.81188 · Cited by 12
Unraveling the Role of LRP1 in Alzheimer’s Disease: A Focus on Aβ Clearance and the Liver-Brain Axis
Yang, W., Wei, Z., & Wang, T. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-025-02339-2 · Cited by 14
Approaches for Increasing Cerebral Efflux of Amyloid-β in Experimental Systems
Loeffler, D. A. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240212 · Cited by 12
A Case Report of a 37-Year-Old Alzheimer's Disease Patient with Prominent Striatum Amyloid Retention
Um, Y. H., Choi, W. H., Jung, W. S., Park, Y. H., Lee, C. U., & Lim, H. K. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.4.521 · Cited by 12
Molecular neuroimaging in dominantly inherited versus sporadic early-onset Alzheimer’s disease
Iaccarino, L., Llibre‐Guerra, J. J., McDade, E., Edwards, L., Gordon, B. A., Benzinger, T. L. S., Hassenstab, J. J., Kramer, J. H., Li, Y., Miller, B. L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae159 · Cited by 11
Li, J., Yang, M., Dai, Y., Guo, X., Ding, Y., Li, X., Zhang, S., Xu, W., Chen, L., Tao, J., et al. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14743 · Cited by 11
Hernández-Zimbrón, L. F., Gorostieta-Salas, E., Díaz-Hung, M.-L., Pérez-Garmendia, R., Gevorkian, G., & Quiroz-Mercado, H. (2016) · InTech eBooks · doi:10.5772/64744 · Cited by 10
Shinohara, M., Kikuchi, M., Onishi‐Takeya, M., Tashiro, Y., Suzuki, K., Noda, Y., Takeda, S., Mukouzono, M., Nagano, S., Fukumori, A., et al. (2021) · FASEB BioAdvances · doi:10.1096/fba.2020-00151 · Cited by 9
Self-citationTian, J., Liu, R., Li, Z.-L., Tan, J., Lu, Y., Zhang, W., Liu, J., Gong, R., Cao, J., Yang, C. D., et al. (2023) · Neuroendocrinology · doi:10.1159/000529055 · Cited by 9
Effects of Amylin Against Amyloid-β-Induced Tauopathy and Synapse Loss in Primary Neurons
Gan, Q., Yao, H., Na, H., Ballance, H. I., Tao, Q., Leung, L., Tian, H., Zhu, H., Wolozin, B. L., & Qiu, W. Q. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190161 · Cited by 9
Xiao, S., Song, L., Li, J., Wang, H., Yu, N., Wang, Z., Zhang, Y., He, J., & Hung, T. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190874 · Cited by 9
Kim, S., Kim, K., Nho, K. T., Myung, W., & Won, H. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-200671 · Cited by 7
Rai, A., Ojiakor, O. A., & Rylett, R. J. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15904 · Cited by 6
Association between striatal amyloid deposition and motor prognosis in Parkinson's disease
Park, M., Kim, H. J., Baik, K., Na, H. K., Lee, Y., Yoon, S. H., Jeong, S. H., Chung, S. J., Shin, H., Lyoo, C. H., et al. (2024) · European Journal of Neurology · doi:10.1111/ene.16364 · Cited by 6
Tiedt, H. O., Benjamin, B., Niedeggen, M., & Lueschow, A. (2018) · Neurodegenerative Diseases · doi:10.1159/000485899 · Cited by 6
Probing the Role of a Regional Quantitative Assessment of Amyloid PET
Peira, E., Grazzini, M., Bauckneht, M., Sensi, F., Bosco, P., Arnaldi, D., Morbelli, S. D., Chincarini, A., Pardini, M., & Nobili, F. M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201156 · Cited by 6
Multimodal imaging analyses in patients with genetic and sporadic forms of small vessel disease
Kim, K. W., Kwon, H., Kim, Y.-E., Yoon, C. W., Kim, Y. J., Kim, Y. B., Lee, J. M., Yoon, W. T., Kim, Y. J., Lee, J. S., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-36580-0 · Cited by 6
Stefanova, N. A., Korbolina, E. E., Ershov, N., Rogaev, E. I., & Kolosova, N. G. (2016) · Russian Journal of Genetics Applied Research · doi:10.1134/s2079059716040195 · Cited by 4
Metadata
- Authors
- Shinohara, M., Fujioka, S., Murray, M. E., Wojtas, A., Baker, M., Rovelet-Lecrux, A., Rademakers, R., Das, P., Parisi, J. E., Graff-Radford, N. R., Petersen, R. C., Dickson, D. W., & Bu, G.
- Affiliations
- Mayo Clinic in Florida (US)
- Mayo Clinic (US)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-03-12
- Volume
- 137
- Issue
- 5
- Pages
- 1533-1549
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3999719
- OpenAlex
- W2073744343
- Cited by
- 115
- References
- 63
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 2 · 2021: 12 · 2020: 11 · 2019: 17 · 2018: 10 · 2017: 9 · 2016: 19 · 2015: 8 · 2014: 3
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- Mayo Clinic
- Alzheimer's Drug Discovery Foundation
- Naito Foundation
- Japan Heart Foundation
- National Institutes of Health
- National Institute on Aging (P01AG030128, P01 AG030128-PROJECT 3, R01AG027924, U01AG006786, RF1AG046205, R01AG035355, P50AG016574)
- National Institute of Neurological Disorders and Stroke (P01 NS074969-PROJECT 3, P01NS074969)
- 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, familial Alzheimer's disease, sporadic Alzheimer's disease, amyloid-beta 42, Aβ40, amyloid precursor protein, presenilin 1, PSD-95, synaptic markers, apolipoprotein E, glial fibrillary acidic protein, amyloid-beta metabolism, pathological aging, regional distribution
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Humans, Male, Middle Aged, Nerve Tissue Proteins, Postmortem Changes, Synapses, Amyloid beta-Peptides, Aspartic Acid Endopeptidases, Amyloid beta-Protein Precursor, Neurofibrillary Tangles, tau Proteins, Presenilin-1, Amyloid Precursor Protein Secretases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review