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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
GWAS and sequencing studies have found associations between AD and genes expressed in myeloid cells, including TREM2, ABCA7, and CD33.
“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]
The Abstract says genome-wide studies identified CD33 as an AD susceptibility locus and describes CD33 expression in myeloid cells. It does not address associations involving TREM2 or ABCA7, or sequencing findings for those genes, so it supports only the CD33 portion of the sentence. (LLM, conf=0.86)
Experimental — accuracy not yet measuredLimited clearance by microglia is likely to contribute to increased Aβ1-42 burden in the brains of sporadic AD dementia patients, as described for the CD33 risk allele rs3865444.
“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]
The paper’s main text (indexed under Abstract; page unavailable) reports reduced Aβ(42) uptake by monocytes carrying rs3865444C and greater amyloid plaque burden associated with the allele. It proposes that less functional microglia/macrophages may fail to clear plaques, but does not directly demonstrate reduced microglial clearance or increased Aβ1-42 burden specifically in patients with sporadic AD dementia; its cohorts included people without AD. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe findings strengthen the growing evidence linking AD to a network of genes expressed in microglia.
“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 AD-associated risk allele of CD33 likely produces the longer more active spliced form of this inhibitory receptor, which correlates with increased cell surface expression and reduced phagocytic capacity observed in human monocytes.
“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
Two polymorphisms in the CD33 gene modulate Alzheimer's disease risk, with the protective allele associated with reduced CD33 and increased phagocytosis.
“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]
Human AD risk gene variants linked to monocytes include TREM2 and CD33; CD33 is linked to diminished Aβ internalization by peripheral monocytes.
“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]
A CD33 variant associated with increased Alzheimer disease risk is expressed at relatively high levels, increasing CD33 inhibitory effects on myeloid functions such as internalization of amyloid-beta 1-42.
“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]
The CD33 genotype-phenotype relationship aligns with TREM2: TREM2 R47H reduces TREM2-ligand binding and ITAM signaling and impairs phagocytosis, whereas the CD33 variant prevents CD33-ligand interaction and presumably ITIM signaling and promotes phagocytosis.
“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
Genes linked to early-onset AD risk that are expressed primarily in microglia include TREM2, MS4A, ABCA7, ApoE4, CD33, PU.1, and BIN1.
“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]
Most GWAS loci are thought to operate by regulating the expression of neighbouring genes.
“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
These findings are consistent with previous work on Trem2 and CD33, suggesting these risk genes are crucial in controlling the microglial response to amyloid-induced damage.
“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
Cells exposed to CD200 and CX3CL1 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.
“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
APOE, TREM2, CD33, and APOJ have previously been linked to controlling Aβ phagocytosis and clearance.
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Reich, M. M., Liefeld, T., Gould, J., Lerner, J., Tamayo, P., & Mesirov, J. P. (2006) · Nature Genetics · doi:10.1038/ng0506-500 · Cited by 2,035 · see citing works
Initiative, T. A. D. N., Hollingworth, P., CHARGE consortium, EADI1 consortium, Harold, D., Sims, R., Gerrish, A., Lambert, J.-C., Carrasquillo, M. M., Abraham, R., et al. (2011) · Nature Genetics · doi:10.1038/ng.803 · Cited by 1,997 · see citing works
Self-citationNaj, A. C., Jun, G., Beecham, G. W., Wang, L.-S., Vardarajan, B. N., Buros, J., Gallins, P. J., Buxbaum, J. D., Jarvik, G. P., Crane, P. K., et al. (2011) · Nature Genetics · doi:10.1038/ng.801 · Cited by 1,901 · see citing works
Self-citationLogan, J., Fowler, J. S., Volkow, N. D., Wolf, A. P., Dewey, S. L., Schlyer, D. J., MacGregor, R. R., HITZEMANN, R. J., Bendriem, B., Gatley, S. J., et al. (1990) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1990.127 · Cited by 1,481 · see citing works
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336 · see citing works
Self-citationFagan, A. M., Mintun, M. A., Mach, R. H., Lee, S., Dence, C. S., Shah, A. R., LaRossa, G. N., Spinner, M. L., Klunk, W. E., Mathis, C. A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20730 · Cited by 1,246 · see citing works
Genome-wide Analysis of Genetic Loci Associated With Alzheimer Disease
Seshadri, S. (2010) · JAMA · doi:10.1001/jama.2010.574 · Cited by 1,219 · see citing works
Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta
Griciuc, A., Serrano-Pozo, A., Parrado, A. R., Lesinski, A. N., Asselin, C. N., Mullin, K., Hooli, B., Choi, S. H., Hyman, B. T., & Tanzi, R. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.014 · Cited by 1,004 · see citing works
Consensus Recommendations for the Postmortem Diagnosis of Alzheimer’s Disease
(1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00057-2 · Cited by 981 · see citing works
Synthesis and Evaluation of 11C-Labeled 6-Substituted 2-Arylbenzothiazoles as Amyloid Imaging Agents
Mathis, C. A., Wang, Y., Holt, D. P., Huang, G.-F., Debnath, M. L., & Klunk, W. E. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm030026b · Cited by 976 · see citing works
Overview and Findings from the Rush Memory and Aging Project
Bennett, D. A., Schneider, J. A., Buchman, A. S., Barnes, L. L., Boyle, P. A., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322663 · Cited by 837 · see citing works
Self-citationA phase 2 multiple ascending dose trial of bapineuzumab in mild to moderate Alzheimer disease
Salloway, S., Sperling, R., Gilman, S., Fox, N. C., Blennow, K., Raskind, M., Sabbagh, M., Honig, L. S., Doody, R., van Dyck, C. H., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c67808 · Cited by 753 · see citing works
Self-citationKinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
Price, J. C., Klunk, W. E., Lopresti, B. J., Lu, X., Hoge, J. A., Ziolko, S. K., Holt, D. P., MELTZER, C. C., DeKosky, S. T., & Mathis, C. A. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600146 · Cited by 712 · see citing works
Overview and Findings from the Religious Orders Study
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322573 · Cited by 647 · see citing works
Self-citationDisruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden
Hedden, T., Van Dijk, K. R. A., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3189-09.2009 · Cited by 598 · see citing works
Self-citationTesting the Right Target and Right Drug at the Right Stage
Sperling, R. A., Jack, C. R., & Aisen, P. S. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002609 · Cited by 550 · see citing works
Self-citationMild cognitive impairment is related to Alzheimer disease pathology and cerebral infarctions
Bennett, D. A., Schneider, J. A., Bienias, J. L., Evans, D. A., & Wilson, R. S. (2005) · Neurology · doi:10.1212/01.wnl.0000152982.47274.9e · Cited by 537 · see citing works
Self-citationLopresti, B. J., Klunk, W. E., Mathis, C. A., Hoge, J. A., Ziolko, S. K., Lu, X., MELTZER, C. C., Schimmel, K., Tsopelas, N. D., DeKosky, S. T., et al. (2005) · PubMed · Cited by 536 · see citing works
Conversion of amyloid positive and negative MCI to AD over 3 years
Okello, A., Koivunen, J., Edison, P., Archer, H. A., Turkheimer, F., Någren, K., Bullock, R. M., Walker, Z., Kennedy, A. M., Fox, N. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b23564 · Cited by 522 · see citing works
Imaging of amyloid burden and distribution in cerebral amyloid angiopathy
Johnson, K. A., Gregas, M., Becker, J. A., Kinnecom, C., Salat, D. H., Moran, E. K., Smith, E. E., Rosand, J., Rentz, D. M., Klunk, W. E., et al. (2007) · Annals of Neurology · doi:10.1002/ana.21164 · Cited by 495 · see citing works
Self-citationImaging amyloid deposition in Lewy body diseases
Gomperts, S. N., Rentz, D. M., Moran, E., Becker, J. A., Locascio, J. J., Klunk, W. E., Mathis, C. A., Elmaleh, D. R., Shoup, T., Fischman, A. J., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000326146.60732.d6 · Cited by 443 · see citing works
Self-citationCerebral infarctions and the likelihood of dementia from Alzheimer disease pathology
Schneider, J. A., Wilson, R. S., Bienias, J. L., Evans, D. A., & Bennett, D. A. (2004) · Neurology · doi:10.1212/01.wnl.0000118211.78503.f5 · Cited by 436 · see citing works
Self-citationExpression of Novel Alzheimer’s Disease Risk Genes in Control and Alzheimer’s Disease Brains
Karch, C. M., Jeng, A. T., Nowotny, P., Cady, J., Cruchaga, C., & Goate, A. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050976 · Cited by 328 · see citing works
Winblad, B. G., Andreasen, N., Minthon, L., Floesser, A., Imbert, G., Dumortier, T., Maguire, R. P., Blennow, K., Lundmark, J., Staufenbiel, M., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70140-0 · Cited by 311 · see citing works
Design of the Chicago Health and Aging Project (CHAP)
Bienias, J. L., Beckett, L. A., Bennett, D. A., Wilson, R. S., & Evans, D. A. (2003) · Journal of Alzheimer s Disease · doi:10.3233/jad-2003-5501 · Cited by 250 · see citing works
Self-citationLajaunias, F., Dayer, J., & Chizzolini, C. (2004) · European Journal of Immunology · doi:10.1002/eji.200425273 · Cited by 138 · see citing works
Activated microglia in dementia with Lewy bodies
Mackenzie, I. R. (2000) · Neurology · doi:10.1212/wnl.55.1.132 · Cited by 126 · see citing works
Phagocytosis of Amyloid-β and Inflammation: Two Faces of Innate Immunity in Alzheimer's Disease
Fiala, M., Cribbs, D. H., Rosenthal, M. J., & Bernard, G. W. (2007) · Journal of Alzheimer s Disease · doi:10.3233/jad-2007-11406 · Cited by 124 · see citing works
Alzheimer's disease genetics: current knowledge and future challenges
Hollingworth, P., Harold, D. H., Jones, L., Owen, M. J., & Williams, J. H. (2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2628 · Cited by 102 · see citing works
Carrasquillo, M. M., Belbin, O., Hunter, T. A., Ma, L., Bisceglio, G. D., Zou, F., Crook, J. E., Pankratz, V. S., Sando, S. B., Aasly, J. O., et al. (2011) · Molecular Neurodegeneration · doi:10.1186/1750-1326-6-54 · Cited by 82 · see citing works
Increased Pro-Inflammatory Response by Dendritic Cells from Patients with Alzheimer's Disease
Ciaramella, A., Bizzoni, F., Salani, F., Vanni, D., Spalletta, G., Sanarico, N., Vendetti, S., Caltagirone, C., & Bossù, P. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1257 · Cited by 62 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [17]Sperling RA Alzheimer’s & dementia: the journal of the Alzheimer’s Association 7 280 292 PMC3220946 21514248
- [37]Lopresti BJ Journal of nuclear medicine: official publication, Society of Nuclear Medicine 46 1959 1972 2005 16330558
Cited by
Sorted by citations
Neuroinflammation in Alzheimer's disease
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Microglial priming in neurodegenerative disease
Perry, V. H., & Holmes, C. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.38 · Cited by 1,127 · see citing works
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 1,098 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases
Kapellos, T. S., Bonaguro, L., Gemünd, I. D., Reusch, N., Saglam, A., Hinkley, E. R., & Schultze, J. L. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02035 · Cited by 887 · see citing works
A systemic view of Alzheimer disease — insights from amyloid-β metabolism beyond the brain
Wang, J., Gu, B. J., Masters, C. L., & Wang, Y.-J. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.111 · Cited by 808 · see citing works
The Semantics of Microglia Activation: Neuroinflammation, Homeostasis, and Stress
Woodburn, S. C., Bollinger, J. L., & Wohleb, E. S. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02309-6 · Cited by 783 · see citing works
TREM2 — a key player in microglial biology and Alzheimer disease
Ulland, T. K., & Colonna, M. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0072-1 · Cited by 735 · see citing works
Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques
Condello, C., Yuan, P., Schain, A., & Grutzendler, J. (2015) · Nature Communications · doi:10.1038/ncomms7176 · Cited by 718 · see citing works
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 · see citing works
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 · see citing works
Implications of sleep disturbance and inflammation for Alzheimer's disease dementia
Irwin, M. R., & Vitiello, M. V. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30450-2 · Cited by 587 · see citing works
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 · see citing works
β-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation
Mander, B. A., Marks, S. M., Vogel, J. W., Rao, V. R., Lu, B. S., Saletin, J., Ancoli‐Israel, S., Jagust, W. J., & Walker, M. P. (2015) · Nature Neuroscience · doi:10.1038/nn.4035 · Cited by 546 · see citing works
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 · see citing works
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 · see citing works
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 504 · see citing works
CD22 blockade restores homeostatic microglial phagocytosis in ageing brains
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 · see citing works
Siglecs as Immune Cell Checkpoints in Disease
Duan, S., & Paulson, J. C. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-102419-035900 · Cited by 452 · see citing works
The contribution of neuroinflammation to amyloid toxicity in Alzheimer's disease
Minter, M. R., Taylor, J. M., & Crack, P. J. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13411 · Cited by 451 · see citing works
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
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 · see citing works
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 · see citing works
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 · see citing works
TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease
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 · see citing works
Neuroinflammation: Microglia and T Cells Get Ready to Tango
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 378 · see citing works
Microglia: Architects of the Developing Nervous System
Frost, J. L., & Schafer, D. P. (2016) · Trends in Cell Biology · doi:10.1016/j.tcb.2016.02.006 · Cited by 362 · see citing works
A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease
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 · see citing works
Sankowski, R., Mader, S., & Valdés-Ferrer, S. I. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00028 · Cited by 351 · see citing works
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 · see citing works
Doens, D., & Fernández, P. L. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-48 · Cited by 348 · see citing works
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 · see citing works
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 · see citing works
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 301 · see citing works
Microglia in Health and Disease
Ransohoff, R. M., & Khoury, J. E. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a020560 · Cited by 303 · see citing works
Altered microglial response to Aβ plaques in APPPS1-21 mice heterozygous for TREM2
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 · see citing works
Microglia–blood vessel interactions: a double-edged sword in brain pathologies
Dudvarski Stankovic, N., Teodorczyk, M., Ploen, R., Zipp, F., & Schmidt, M. H. H. (2016) · Acta Neuropathologica · doi:10.1007/s00401-015-1524-y · Cited by 301 · see citing works
Microglia in Alzheimer’s disease: pathogenesis, mechanisms, and therapeutic potentials
Miao, J., Ma, H., Yang, Y., Liao, Y., Lin, C., Zheng, J., Yu, M., & Lan, J. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1201982 · Cited by 293 · see citing works
Microglia actions in Alzheimer's disease
Prokop, S., Miller, K. R., & Heppner, F. L. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1182-x · Cited by 291 · see citing works
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 · see citing works
Clearance of cerebral Aβ in Alzheimer’s disease: reassessing the role of microglia and monocytes
Zuroff, L. R., Daley, D. A., Black, K. L., & Koronyo‐Hamaoui, M. (2017) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2463-7 · Cited by 275 · see citing works
Microglial genes regulating neuroinflammation in the progression of Alzheimer's disease
Villegas-Llerena, C., Phillips, A., Garcia-Reitboeck, P., Hardy, J., & Pocock, J. M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.10.004 · Cited by 270 · see citing works
Sexual dimorphism in predisposition to Alzheimer's disease
Fisher, D. W., Bennett, D. A., & Dong, H. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.04.004 · Cited by 270 · see citing works
Self-citationSmith, A. M., & Dragunow, M. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2013.12.001 · Cited by 256 · see citing works
CD33 Alzheimer’s risk-altering polymorphism, CD33 expression, and exon 2 splicing
Malik, M., Simpson, J. F., Parikh, I., Wilfred, B. R., Fardo, D. W., Nelson, P. T., & Estus, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1224-13.2013 · Cited by 262 · see citing works
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 · see citing works
APOBEC3A cytidine deaminase induces RNA editing in monocytes and macrophages
Sharma, S., Patnaik, S., Taggart, R., Kannisto, E. D., Enriquez, S. M., Gollnick, P., & Baysal, B. (2015) · Nature Communications · doi:10.1038/ncomms7881 · Cited by 247 · see citing works
Direct Evidence of Internalization of Tau by Microglia In Vitro and In Vivo
Bolós, M., Llorens-Martín, M., Jurado-Arjona, J., Hernández, F., Rábano, A., & Avila, J. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150704 · Cited by 234 · see citing works
Neurosteroids as regulators of neuroinflammation
Yılmaz, C., Karali, K., Fodelianaki, G., Gravanis, A., Chavakis, T., Charalampopoulos, I., & Alexaki, V. I. (2019) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2019.100788 · Cited by 245 · see citing works
Lo, B. (2015) · JAMA · doi:10.1001/jama.2015.292 · Cited by 232 · see citing works
The dynamics of monocytes and microglia in Alzheimer’s disease
Thériault, P., ElAli, A., & Rivest, S. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0125-2 · Cited by 230 · see citing works
The roles of inflammation and immune mechanisms in Alzheimer's disease
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 226 · see citing works
Takeda, S., Sato, N., & Morishita, R. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00171 · Cited by 226 · see citing works
Untangling Genetic Risk for Alzheimer’s Disease
Pimenova, A. A., Raj, T., & Goate, A. M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.014 · Cited by 223 · see citing works
Self-citationMicroglia and monocytes in inflammatory CNS disease: integrating phenotype and function
Spiteri, A. G., Wishart, C. L., Pamphlett, R., Locatelli, G., & King, N. J. C. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02384-2 · Cited by 216 · see citing works
The role of the immune system in Alzheimer disease: Etiology and treatment
Jevtic, S. D., Sengar, A. S., Salter, M. W., & McLaurin, J. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.08.005 · Cited by 218 · see citing works
Microglia in Brain Development, Homeostasis, and Neurodegeneration
Bohlen, C. J., Friedman, B. A., Dejanovic, B., & Sheng, M. (2019) · Annual Review of Genetics · doi:10.1146/annurev-genet-112618-043515 · Cited by 212 · see citing works
Microglial Phagocytosis: A Disease-Associated Process Emerging from Alzheimer’s Disease Genetics
Podleśny-Drabiniok, A., Marcora, E., & Goate, A. M. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.10.002 · Cited by 211 · see citing works
Gemtuzumab ozogamicin in acute myeloid leukemia
Godwin, C. D., Gale, R. P., & Walter, R. B. (2017) · Leukemia · doi:10.1038/leu.2017.187 · Cited by 211 · see citing works
Genetics of Alzheimer’s Disease
Chouraki, V. A., & Seshadri, S. S. (2014) · Advances in genetics · doi:10.1016/b978-0-12-800149-3.00005-6 · Cited by 208 · see citing works
Noncoding RNAs in Alzheimer's disease
Idda, M. L., Munk, R. B., Abdelmohsen, K., & Gorospe, M. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1463 · Cited by 206 · see citing works
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 191 · see citing works
Cheng, Y., Tian, D., & Wang, Y.-J. (2020) · Translational Neurodegeneration · doi:10.1186/s40035-020-00195-1 · Cited by 195 · see citing works
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 · see citing works
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 · see citing works
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 173 · see citing works
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 174 · see citing works
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 · see citing works
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 · see citing works
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 166 · see citing works
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 · see citing works
Early and Late CNS Inflammation in Alzheimer’s Disease: Two Extremes of a Continuum?
Cuello, A. C. (2017) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2017.07.005 · Cited by 164 · see citing works
Sialic Acid Mimetics to Target the Sialic Acid–Siglec Axis
Büll, C., Heise, T., Adema, G. J., & Boltje, T. J. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.03.007 · Cited by 165 · see citing works
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 · see citing works
Self-citationGenetics ignite focus on microglial inflammation in Alzheimer’s disease
Malik, M., Parikh, I., Vasquez, J. B., Smith, C., Tai, L., Bu, G., LaDu, M. J., Fardo, D. W., Rebeck, G. W., & Estus, S. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0048-1 · Cited by 161 · see citing works
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 156 · see citing works
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 · see citing works
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 157 · see citing works
Siglecs: A journey through the evolution of sialic acid-binding immunoglobulin-type lectins
Bornhöfft, K. F., Goldammer, T., Rebl, A., & Galuska, S. P. (2018) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2018.05.008 · Cited by 150 · see citing works
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 153 · see citing works
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 146 · see citing works
Rosenberg, R. N., Lambracht‐Washington, D., Yu, G., & Xia, W. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0301 · Cited by 145 · see citing works
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 · see citing works
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 153 · see citing works
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 124 · see citing works
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 · see citing works
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 · see citing works
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 141 · see citing works
“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 145 · see citing works
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 · see citing works
- 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
- Health Sciences › Medicine › Physiology › 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
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
