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CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology
Open accessAbstract
In our functional dissection of the CD33 Alzheimer's disease susceptibility locus, we found that the rs3865444(C) risk allele was associated with greater cell surface expression of CD33 in the monocytes (t50 = 10.06, P(joint) = 1.3 × 10(-13)) of young and older individuals. It was also associated with diminished internalization of amyloid-β 42 peptide, accumulation of neuritic amyloid pathology and fibrillar amyloid on in vivo imaging, and increased numbers of activated human microglia.
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“At the genetic level, GWAS and sequencing studies have found associations between AD and genes expressed in myeloid cells, including TREM2, ABCA7, and CD331,2,5,15–17.”
From A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease (2017) · cites this paper as [17]
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.
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“Limited clearance by microglia is likely to contribute to increased Ab 1 -42 burden in the brains of sporadic AD dementia patients, as described recently for the CD33 risk allele rs3865444 (13).”
From SUCLG2 identified as both a determinator of CSF Aβ1–42 levels and an attenuator of cognitive decline in Alzheimer's disease (2014) · cites this paper as [13]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“These results reinforce the emerging genetic and epigenetic association between AD and a network of microglial expressed genes2,5,17–21”
From A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease (2017) · cites this paper as [17]
The cited source says what the claim attributes to it.
In the citing paper
“The AD-associated risk allele of CD33 likely produces the longer more active spliced form of this inhibitory receptor (Pimenova et al., 2017b), which correlates with increased cell surface expression and reduced phagocytic capacity observed in human monocytes (Bradshaw et al., 2013).”
From Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response (2021) · cites this paper as Bradshaw et al., 2013
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In the citing paper
“Two polymorphisms in the CD33 gene have recently been identified that modulate AD risk,102, 103 with the protective allele associated with reduced CD3312, 66, 70 and increased phagocytosis.12”
From Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review (2018) · cites this paper as [12]
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“Several human AD risk gene variants have been linked to monocytes, including those related with TREM2 and CD33 [34, 52], the latter of which is linked to diminished Aβ internalization by peripheral monocytes [34].”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [34]
In the citing paper
“a CD33 variant associated with an increased risk for AD is expressed at relatively high levels, increasing CD33 inhibitory effects on myeloid functions, such as internalization of the Aβ1–42 peptide (137).”
From Microglia Function in the Central Nervous System During Health and Neurodegeneration (2017) · cites this paper as [137]
In the citing paper
“The CD33 genotype–phenotype relationship nicely aligns with that of TREM2: the TREM2 R47H mutation (which increases AD risk) reduces TREM2–ligand binding and ITAM signaling and impairs phagocytosis, whereas the CD33 variant (which reduces AD risk) prevents the CD33–ligand interaction and presumably ITIM signaling and promotes phagocytosis (Bradshaw et al., 2013; Griciuc et al., 2013).”
From Microglia in Alzheimer’s disease (2018) · cites this paper as Bradshaw et al., 2013
In the citing paper
“Genetic studies show that a number of genes that have been linked to early-onset AD risk are expressed primarily in microglia.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [134]
In the citing paper
“Since most GWAS loci are thought to operate by regulating the expression of neighbouring genes (Bradshaw et al., 2013; Griciuc et al., 2013; Huang et al., 2017)”
From Genetic variability in response to amyloid beta deposition influences Alzheimer’s disease risk (2019) · cites this paper as Bradshaw et al., 2013
In the citing paper
“These findings are also consistent with previous work on Trem2 (Wang et al., 2015; Keren-Shaul et al., 2017; Mazaheri et al., 2017; Cheng-Hathaway et al., 2018; Lee et al., 2018), and CD33 (Bradshaw et al., 2013; Griciuc et al., 2013), suggesting these risk genes are crucial in controlling the microglial response to amyloid-induced damage.”
From Genetic variability in response to amyloid beta deposition influences Alzheimer’s disease risk (2019) · cites this paper as Bradshaw et al., 2013
In the citing paper
“Whereas cells exposed to these two factors responded differentially to fAβ, increasing expression of genes involved in neuronal cell surface motif recognition, or phagocytosis of CNS substrates, including MS4A genes, TREM2, TYROBP, CD33, and ABCA7 (Bradshaw et al., 2013; Fu et al., 2016; Greer et al., 2016)(Figure S6B).”
From iPSC-derived human microglia-like cells to study neurological diseases (2017) · cites this paper as Bradshaw et al., 2013
In the citing paper
“genes previously implicated in modulating Aβ phagocytosis and clearance”
From iPSC-derived human microglia-like cells to study neurological diseases (2017) · cites this paper as Bradshaw et al., 2013
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Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Self-citationImaging 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
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
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234
Reich, M. M., Liefeld, T., Gould, J., Lerner, J., Tamayo, P., & Mesirov, J. P. (2006) · Nature Genetics · doi:10.1038/ng0506-500 · Cited by 2,053
Flagged first, then by citations
Research works printed but not linked: 2
- Wechsler, D. Wechsler Memory Scale-Revised (WMS-R) (Psychological, San Antonio, Texas, 1987).
- Lopresti, B.J. et al. J. Nucl. Med. 46, 1959–1972 (2005).
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Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226
Alzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204
Microglia Function in the Central Nervous System During Health and Neurodegeneration
Colonna, M., & Butovsky, O. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052358 · Cited by 2,894
Immune attack: the role of inflammation in Alzheimer disease
Heppner, F. L., Ransohoff, R. M., & Becher, B. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3880 · Cited by 2,134
Microglia in Alzheimer’s disease
Hansen, D. V., Hanson, J. E., & Sheng, M. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201709069 · Cited by 1,935
The microglial sensome revealed by direct RNA sequencing
Hickman, S. E., Kingery, N. D., Ohsumi, T. K., Borowsky, M. L., Wang, L.-C., Means, T. K., & El Khoury, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3554 · Cited by 1,511
Innate immune activation in neurodegenerative disease
Heneka, M. T., Kummer, M. P., & Latz, E. (2014) · Nature Reviews Immunology · doi:10.1038/nri3705 · Cited by 1,437
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260
Self-citationiPSC-derived human microglia-like cells to study neurological diseases
Abud, E. M., Ramirez, R. N., Martinez, E. S., Healy, L. M., Nguyen, C. H. H., Newman, S. A., Yeromin, A. V., Scarfone, V. M., Marsh, S. E., Fimbres, C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.042 · Cited by 1,154
Microglial priming in neurodegenerative disease
Perry, V. H., & Holmes, C. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.38 · Cited by 1,127
Siglec-mediated regulation of immune cell function in disease
Macauley, M. S., Crocker, P. R., & Paulson, J. C. (2014) · Nature Reviews Immunology · doi:10.1038/nri3737 · Cited by 1,122
Microglial signatures and their role in health and disease
Butovsky, O., & Weiner, H. L. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0057-5 · Cited by 1,046
Innate immunity in Alzheimer's disease
Heneka, M. T., Golenbock, D. T., & Latz, E. (2015) · Nature Immunology · doi:10.1038/ni.3102 · Cited by 902
Yeh, F. L., Wang, Y., Tom, I., Gonzalez, L. C., & Sheng, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.015 · Cited by 943
Sala Frigerio, C., Wolfs, L., Fattorelli, N., Thrupp, N., Voytyuk, I., Schmidt, I., Mancuso, R., Chen, W.-T., Woodbury, M. E., Srivastava, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.099 · Cited by 926
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Wang, J., Gu, B. J., Masters, C. L., & Wang, Y.-J. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.111 · Cited by 808
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Ulland, T. K., & Colonna, M. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0072-1 · Cited by 735
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Condello, C., Yuan, P., Schain, A., & Grutzendler, J. (2015) · Nature Communications · doi:10.1038/ncomms7176 · Cited by 718
Spangenberg, E. E., Lee, R. J., Najafi, A. R., Rice, R. A., Elmore, M. R. P., Blurton-Jones, M., West, B. L., & Green, K. N. (2016) · Brain · doi:10.1093/brain/aww016 · Cited by 695
Interplay between innate immunity and Alzheimer disease: APOE and TREM2 in the spotlight
Shi, Y., & Holtzman, D. M. (2018) · Nature Reviews Immunology · doi:10.1038/s41577-018-0051-1 · Cited by 595
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Irwin, M. R., & Vitiello, M. V. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30450-2 · Cited by 611
Hopperton, K. E., Mohammad, D., Trépanier, M. O., Giuliano, V, & Bazinet, R. P. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.246 · Cited by 567
β-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation
Mander, B. A., Marks, S. M., Vogel, J. W., Rao, V., Lu, B., Saletin, J. M., Ancoli-Israel, S., Jagust, W. J., & Walker, M. P. (2015) · Nature Neuroscience · doi:10.1038/nn.4035 · Cited by 569
Inflammation: the link between comorbidities, genetics, and Alzheimer’s disease
Newcombe, E. A., Camats-Perna, J., Silva, M. L., Valmas, N., Huat, T. J., & Medeiros, R. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1313-3 · Cited by 532
Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes
Raj, T., Rothamel, K., Mostafavi, S., Ye, C., Lee, M. N., Replogle, J. M., Feng, T., Lee, M., Asinovski, N., Frohlich, I., et al. (2014) · Science · doi:10.1126/science.1249547 · Cited by 506
Self-citationThe clinical impact of glycobiology: targeting selectins, Siglecs and mammalian glycans
Smith, B. A. H., & Bertozzi, C. R. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-00093-1 · Cited by 512
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Pluvinage, J. V., Haney, M. S., Smith, B. A. H., Sun, J., Iram, T., Bonanno, L., Li, L., Lee, D. P., Morgens, D. W., Yang, A. C., et al. (2019) · Nature · doi:10.1038/s41586-019-1088-4 · Cited by 459
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Duan, S., & Paulson, J. C. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-102419-035900 · Cited by 452
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Minter, M. R., Taylor, J. M., & Crack, P. J. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13411 · Cited by 451
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The International Genomics of Alzheimer's Project, Huang, K.-L., Initiative, T. A. D. N., Marcora, E., Pimenova, A. A., Di Narzo, A. F., Kapoor, M., Jin, S. C., Harari, O., Bertelsen, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4587 · Cited by 423
Self-citationTREM2 variants: new keys to decipher Alzheimer disease pathogenesis
Colonna, M., & Wang, Y. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.7 · Cited by 418
Marsh, S. E., Abud, E. M., Lakatos, A., Karimzadeh, A., Yeung, S. T., Davtyan, H., Fote, G. M., Lau, L., Weinger, J. G., Lane, T. E., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525466113 · Cited by 411
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Griciuc, A., Patel, S., Federico, A. N., Choi, S. H., Innes, B. J., Oram, M. K., Cereghetti, G., McGinty, D., Anselmo, A., Sadreyev, R. I., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.010 · Cited by 378
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Schetters, S. T. T., Gómez‐Nicola, D., García-Vallejo, J. J., & van Kooyk, Y. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01905 · Cited by 400
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Frost, J. L., & Schafer, D. P. (2016) · Trends in Cell Biology · doi:10.1016/j.tcb.2016.02.006 · Cited by 385
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Hampel, H., Caraci, F., Cuello, A. C., Caruso, G., Nisticò, R., Corbo, M., Baldacci, F., Toschi, N., Garaci, F., Chiesa, P. A., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00456 · Cited by 360
Sankowski, R., Mader, S., & Valdés-Ferrer, S. I. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00028 · Cited by 351
Systemic inflammation impairs microglial Aβ clearance through NLRP3 inflammasome
Tejera, D., Mercan, D., Sanchez‐Caro, J. M., Hanan, M., Greenberg, D., Soreq, H., Latz, E., Golenbock, D., & Heneka, M. T. (2019) · The EMBO Journal · doi:10.15252/embj.2018101064 · Cited by 351
Doens, D., & Fernández, P. L. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-48 · Cited by 348
Elucidating the Role of TREM2 in Alzheimer’s Disease
Ulrich, J. D., Ulland, T. K., Colonna, M., & Holtzman, D. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.042 · Cited by 325
Genes associated with Alzheimer's disease: an overview and current status
Giri, M., Lü, Y., & Zhang, M. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s105769 · Cited by 311
Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans
Saykin, A. J., Shen, L., Yao, X., Kim, S., Nho, K. T., Risacher, S. L., Ramanan, V. K., Foroud, T., Faber, K. M., Sarwar, N., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.009 · Cited by 307
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Ulrich, J. D., Finn, M. B., Wang, Y., Shen, A., Mahan, T. E., Jiang, H., Stewart, F. R., Piccio, L., Colonna, M., & Holtzman, D. M. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-20 · Cited by 302
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Xiang, Y., Bu, X.-L., Liu, Y.-H., Zhu, C., Shen, L.-L., Jiao, S.-S., Zhu, X.-Y., Giunta, B., Tan, J., Song, W.-H., et al. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1477-1 · Cited by 277
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Lee, J.-W., Nam, H., Kim, L. E., Jeon, Y., Min, H., Ha, S., Lee, Y., Kim, S.-Y., Lee, S. J., Kim, E.-K., et al. (2019) · Autophagy · doi:10.1080/15548627.2018.1556946 · Cited by 260
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Lo, B. (2015) · JAMA · doi:10.1001/jama.2015.292 · Cited by 235
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Eldik, L. J. V., Carrillo, M. C., Cole, P. E., Feuerbach, D., Greenberg, B., Hendrix, J. A., Kennedy, M. E., Kozauer, N., Margolin, R. A., Molinuevo, J. L., et al. (2016) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2016.05.001 · Cited by 238
Takeda, S., Sato, N., & Morishita, R. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00171 · Cited by 236
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Chouraki, V. A., & Seshadri, S. S. (2014) · Advances in genetics · doi:10.1016/b978-0-12-800149-3.00005-6 · Cited by 220
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Idda, M. L., Munk, R. B., Abdelmohsen, K., & Gorospe, M. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1463 · Cited by 211
The role of innate immune genes in Alzheimer's disease
Griciuc, A., & Tanzi, R. E. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000911 · Cited by 192
Cheng, Y., Tian, D., & Wang, Y.-J. (2020) · Translational Neurodegeneration · doi:10.1186/s40035-020-00195-1 · Cited by 197
Targeting microglia for the treatment of Alzheimer’s Disease
Wes, P. D., Sayed, F. A., Bard, F., & Gan, L. (2016) · Glia · doi:10.1002/glia.22988 · Cited by 185
Association between genetic traits for immune-mediated diseases and Alzheimer disease
Yokoyama, J. S., Wang, Y., Schork, A. J., Thompson, W. K., Karch, C. M., Cruchaga, C., McEvoy, L. K., Witoelar, A., Chen, C.-H., Holland, D., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0150 · Cited by 176
The genetics of Alzheimer's disease
Bagyinszky, E., Youn, Y. C., An, S. S. A., & Kim, S. (2014) · Clinical Interventions in Aging · doi:10.2147/cia.s51571 · Cited by 184
Arginine Deprivation and Immune Suppression in a Mouse Model of Alzheimer's Disease
Kan, M. J., Lee, J. E., Wilson, J. G., Everhart, A. L., Brown, C. M., Hoofnagle, A. N., Jansen, M., Vitek, M. P., Gunn, M. D., & Colton, C. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4668-14.2015 · Cited by 178
TREM2 in CNS homeostasis and neurodegenerative disease
Painter, M. M., Atagi, Y., Liu, C.-C., Rademakers, R., Xu, H., Fryer, J. D., & Bu, G. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0040-9 · Cited by 169
Shulman, J. M., Imboywa, S., Giagtzoglou, N., Powers, M. P., Hu, Y., Devenport, D., Chipendo, P., Chibnik, L. B., Diamond, A., Perrimon, N., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddt478 · Cited by 167
Self-citationMammana, S., Fagone, P., Cavalli, E., Basile, M. S., Petralia, M. C., Nicoletti, F., Bramanti, P., & Mazzon, E. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030831 · Cited by 171
Tai, L. M., Ghura, S., Koster, K. P., Liakaite, V., Maienschein‐Cline, M., Kanabar, P., Collins, N., Ben‐Aissa, M., Lei, A. Z., Bahroos, N., et al. (2015) · Journal of Neurochemistry · doi:10.1111/jnc.13072 · Cited by 165
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Cuello, A. C. (2017) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2017.07.005 · Cited by 170
Sialic Acid Mimetics to Target the Sialic Acid–Siglec Axis
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CD33 modulates TREM2: convergence of Alzheimer loci
Chan, G., White, C. C., Winn, P. A., Cimpean, M., Replogle, J. M., Glick, L. R., Cuerdon, N. E., Ryan, K. J., Johnson, K. A., Schneider, J. A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4126 · Cited by 162
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Ryan, K. J., White, C. C., Patel, K. R., Xu, J., Olah, M., Replogle, J. M., Frangieh, M., Cimpean, M., Winn, P. A., McHenry, A., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aai7635 · Cited by 159
Self-citationQuerol-Vilaseca, M., Colom-Cadena, M., Pegueroles, J., San Martín-Paniello, C., Clarimon, J., Belbin, O., Fortea, J., & Lleó, A. (2017) · Journal of Neuroinflammation · doi:10.1186/s12974-017-0893-7 · Cited by 158
Lamba, J. K., Chauhan, L., Shin, M., Loken, M. R., Pollard, J. A., Wang, Y.-C., Ries, R. E., Aplenc, R., Hirsch, B. A., Raimondi, S. C., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2016.71.2513 · Cited by 159
Siglecs: A journey through the evolution of sialic acid-binding immunoglobulin-type lectins
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Late-Onset Alzheimer’s Disease Genes and the Potentially Implicated Pathways
Rosenthal, S. L., & Kamboh, M. I. (2014) · Current Genetic Medicine Reports · doi:10.1007/s40142-014-0034-x · Cited by 162
Single-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time
Ofengeim, D., Γιαγτζόγλου, Ν., Huh, D., Zou, C., & Yuan, J. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.04.006 · Cited by 150
Rosenberg, R. N., Lambracht‐Washington, D., Yu, G., & Xia, W. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0301 · Cited by 149
Fibrillar Aβ triggers microglial proteome alterations and dysfunction in Alzheimer mouse models
Sebastian Monasor, L., Müller, S. A., Colombo, A. V., Tanrioever, G., König, J., Roth, S., Liesz, A., Berghofer, A., Piechotta, A., Prestel, M., et al. (2020) · eLife · doi:10.7554/elife.54083 · Cited by 147
Prioritizing Parkinson’s disease genes using population-scale transcriptomic data
Li, Y. I., Wong, G., Humphrey, J., & Raj, T. (2019) · Nature Communications · doi:10.1038/s41467-019-08912-9 · Cited by 143
Self-citationOntogeny and Functions of Central Nervous System Macrophages
Katsumoto, A., Lu, H., Miranda, A. S., & Ransohoff, R. M. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1400716 · Cited by 149
Raj, T., Ryan, K. J., Replogle, J. M., Chibnik, L. B., Rosenkrantz, L., Tang, A., Rothamel, K., Stranger, B. E., Bennett, D. A., Evans, D. A., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddt666 · Cited by 144
Self-citationSialylation and Galectin-3 in Microglia-Mediated Neuroinflammation and Neurodegeneration
Puigdellívol, M., Allendorf, D. H., & Brown, G. C. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00162 · Cited by 145
Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response
Pimenova, A. A., Herbinet, M., Gupta, I., Machlovi, S. I., Bowles, K. R., Marcora, E., & Goate, A. M. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105217 · Cited by 120
“21 with increased cell surface expression and reduced phagocytic capacity observed in human monocytes (Bradshaw et al., 2013).”
Rusek, M., Smith, J., El-Khatib, K., Aikins, K., Czuczwar, S. J., & Pluta, R. M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010864 · Cited by 151
Potassium Channel Kv1.3 Is Highly Expressed by Microglia in Human Alzheimer's Disease
Rangaraju, S., Gearing, M., Jin, L.-W., & Levey, A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-141704 · Cited by 137
Metadata
- Authors
- Initiative, T. A. D. N., Bradshaw, E. M., Chibnik, L. B., Keenan, B. T., Ottoboni, L., Raj, T., Tang, A., Rosenkrantz, L. L., Imboywa, S., Lee, M., Von Korff, A., Morris, M. C., Evans, D. A., Johnson, K., Sperling, R. A., Schneider, J. A., Bennett, D. A., & De Jager, P. L.
- Affiliations
- Brigham and Women's Hospital (US)
- Broad Institute (US)
- Rush University Medical Center (US)
- Harvard University (US)
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2013-05-23
- Volume
- 16
- Issue
- 7
- Pages
- 848-850
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC3703870
- OpenAlex
- W2074405990
- Cited by
- 570
- References
- 41
- Citations by year
- 2026: 9 · 2025: 30 · 2024: 56 · 2023: 48 · 2022: 42 · 2021: 45 · 2020: 53 · 2019: 59 · 2018: 49 · 2017: 46 · 2016: 41 · 2015: 49 · 2014: 32 · 2013: 11
- FWCI
- 30.79
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institute on Aging (R01AG017917, P30-AG 10161, K25AG041906, R01AG030146, R01 AG30146, R01‐AG17917, R01 AG15819, R01AG11101, P50AG005138, R01AG011101, R01AG036042, R01AG043617, R01AG015819, P30AG010161, P30AG008051, P50AG008702, P30AG013846, R01AG031553, U24AG021886)
- National Institute of General Medical Sciences (R25GM076321, RC2GM093080)
- National Institute of Neurological Disorders and Stroke (R10 NS067305, R01NS067305)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- CD33, Alzheimer's disease, genetic susceptibility loci, monocytes, microglial activation, amyloid-beta, amyloid fibrils, cell surface expression
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Brain, Dextrans, Female, Genotype, HLA-D Antigens, Humans, Male, Middle Aged, Monocytes, Peptide Fragments, Polymorphism, Genetic, Radionuclide Imaging, Thiazoles, Cohort Studies, Amyloid beta-Peptides, Microglia, Young Adult, Genetic Association Studies, Plaque, Amyloid, Cognitive Dysfunction, Sialic Acid Binding Ig-like Lectin 3
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