CD33 Alzheimer’s risk-altering polymorphism, CD33 expression, and exon 2 splicing
Open accessAbstract
Genome-wide association studies are identifying novel Alzheimer's disease (AD) risk factors. Elucidating the mechanism underlying these polymorphisms is critical to the validation process and, by identifying rate-limiting steps in AD risk, may yield novel therapeutic targets. Here, we elucidate the mechanism of action of the AD-associated polymorphism rs3865444 in the promoter of CD33, a member of the sialic acid-binding Ig-superfamily of lectins (SIGLECs). Immunostaining established that CD33 is expressed in microglia in human brain. Consistent with this finding, CD33 mRNA expression correlated well with expression of the microglial genes CD11b and AIF-1 and was modestly increased with AD status and the rs3865444C AD-risk allele. Analysis of CD33 isoforms identified a common isoform lacking exon 2 (D2-CD33). The proportion of CD33 expressed as D2-CD33 correlated robustly with rs3865444 genotype. Because rs3865444 is in the CD33 promoter region, we sought the functional polymorphism by sequencing CD33 from the promoter through exon 4. We identified a single polymorphism that is coinherited with rs3865444, i.e., rs12459419 in exon 2. Minigene RNA splicing studies in BV2 microglial cells established that rs12459419 is a functional single nucleotide polymorphism (SNP) that modulates exon 2 splicing efficiency. Thus, our primary findings are that CD33 is a microglial mRNA and that rs3865444 is a proxy SNP for rs12459419 that modulates CD33 exon 2 splicing. Exon 2 encodes the CD33 IgV domain that typically mediates sialic acid binding in SIGLEC family members. In summary, these results suggest a novel model wherein SNP-modulated RNA splicing modulates CD33 function and, thereby, AD risk.
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TREM2, CD33, and CD22 play key roles in disease progression in AD patients and neurodegenerative mouse models.
“Most notably, emerging evidence from both AD patients and neurodegenerative mouse models has identified key roles for TREM2, CD33, and CD22 in disease progression (Bemiller et al., 2017; Krasemann et al., 2017; Malik et al., 2013; Pluvinage et al., 2019; Ulland et al., 2017; Wang et al., 2015).”
From SYK coordinates neuroprotective microglial responses in neurodegenerative disease (2022) · cites this paper as Malik et al., 2013
The Discussion (p. 13324) links CD33 expression and splicing to Alzheimer’s disease risk and describes a proposed role for CD33 and TREM2 in microglial activation. It does not establish a role in disease progression, and this paper provides no evidence about CD22 or progression in neurodegenerative mouse models. (LLM, conf=0.85)
Experimental — accuracy not yet measuredHigher expression of CD33 genes or of CD33 immunolabelled cells was noted in three studies in the superior and middle temporal gyri, frontal cortex and temporal cortex of patients with Alzheimer's disease relative to controls.
“Higher expression of CD33 genes or of CD33 immunolabelled cells was noted in three studies in the superior and middle temporal gyri, frontal cortex and temporal cortex of patients with AD relative to controls.66, 70, 104”
From Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review (2018) · cites this paper as [104]
CD33 expression was shown to correlate with pan-microglial markers Iba1 or CD11b, supporting its microglial localization.
“CD33 expression was shown to correlate with pan-microglial markers Iba1 or CD11b, supporting its microglial localization.66, 70, 104”
From Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review (2018) · cites this paper as [104]
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Cites
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
<i>TREM2</i> Variants in Alzheimer's Disease
Guerreiro, R., Wojtas, A., Bras, J., Carrasquillo, M., Rogaeva, E., Majounie, E., Cruchaga, C., Sassi, C., Kauwe, J. S. K., Younkin, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211851 · Cited by 3,020 · see citing works
Variant of <i>TREM2</i> Associated with the Risk of Alzheimer's Disease
Jonsson, T., Stefansson, H., Steinberg, S., Jonsdottir, I., Jonsson, P. V., Snaedal, J., Bjornsson, S., Huttenlocher, J., Levey, A. I., Lah, J. J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211103 · Cited by 2,558 · 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
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
Naj, 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
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
Neuropathology and Cognitive Impairment in Alzheimer Disease: A Complex but Coherent Relationship
Nelson, P. T., Braak, H., & Markesbery, W. R. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181919a48 · Cited by 643 · see citing works
Self-citationCD33 Alzheimer's disease locus: altered monocyte function and amyloid biology
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., et al. (2013) · Nature Neuroscience · doi:10.1038/nn.3435 · Cited by 570 · see citing works
Siglecs—the major subfamily of I-type lectins
Varki, A. P., & Angata, T. (2005) · Glycobiology · doi:10.1093/glycob/cwj008 · Cited by 518 · see citing works
Smith, P. J., Zhang, C., Wang, J., Chew, S. L., Zhang, M. Q., & Krainer, A. R. (2006) · Human Molecular Genetics · doi:10.1093/hmg/ddl171 · Cited by 515 · see citing works
Jun, G. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.201 · Cited by 422 · see citing works
Scheinberg, D. A., Lovett, D., Divgi, C. R., et al. (1991) · Journal of Clinical Oncology · doi:10.1200/jco.1991.9.3.478 · Cited by 228 · see citing works
Variant <i>TREM2</i> as Risk Factor for Alzheimer's Disease
Neumann, H., & Daly, M. J. (2013) · New England Journal of Medicine · doi:10.1056/nejme1213157 · Cited by 177 · cited 4× · see citing works
“Sialic acids activate CD33 to stimulate SHP1/SHP2 tyrosine phosphatases, resulting in inhibition of phagocytosis (Fig. 3; for review, see Linnartz et al., 2010; Neumann and Daly, 2013).”
BackgroundResultInfluentialNovel late-onset Alzheimer disease loci variants associate with brain gene expression
Allen, M., Zou, F., Chai, H. S., Younkin, C. S., Crook, J. E., Pankratz, V. S., Carrasquillo, M. M., Rowley, C. N., Nair, A., Middha, S., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182605801 · Cited by 164 · see citing works
Two categories of mammalian galactose-binding receptors distinguished by glycan array profiling
Coombs, P. J., Taylor, M. E., & Drickamer, K. (2006) · Glycobiology · doi:10.1093/glycob/cwj126 · Cited by 158 · see citing works
Lajaunias, F., Dayer, J., & Chizzolini, C. (2004) · European Journal of Immunology · doi:10.1002/eji.200425273 · Cited by 138 · see citing works
Hernández‐Caselles, T., Martinez‐Esparza, M., Pérez‐Oliva, A. B., Quintanilla-Cecconi, A. M., García-Alonso, A. M., Álvarez‐López, D. M. R., & García–Peñarrubia, P. (2005) · Journal of Leukocyte Biology · doi:10.1189/jlb.0205096 · Cited by 133 · see citing works
CD33/Siglec-3 Binding Specificity, Expression Pattern, and Consequences of Gene Deletion in Mice
der Linden, E. C. M. B.-V., Angata, T., Reynolds, S. A., Powell, L. D., Hedrick, S. Μ., & Varki, A. P. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.12.4199-4206.2003 · Cited by 133 · see citing works
Linnartz‐Gerlach, B., & Neumann, H. (2012) · Glia · doi:10.1002/glia.22359 · Cited by 117 · see citing works
The three new pathways leading to Alzheimer's disease
Morgan, K. (2011) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2011.01181.x · Cited by 112 · see citing works
Visconte, V., Makishima, H., Maciejewski, J. P., & Tiu, R. V. (2012) · Leukemia · doi:10.1038/leu.2012.130 · Cited by 107 · see citing works
Linnartz, B., Wang, Y., & Neumann, H. (2010) · International Journal of Alzheimer's Disease · doi:10.4061/2010/587463 · Cited by 87 · see citing works
Pérez‐Oliva, A. B., Martinez‐Esparza, M., Vicente-Fernandez, J. J., Corral-San-Miguel, R., García–Peñarrubia, P., & Hernández‐Caselles, T. (2011) · Glycobiology · doi:10.1093/glycob/cwq220 · Cited by 77 · see citing works
Genetics of Clusterin Isoform Expression and Alzheimer's Disease Risk
Ling, I., Bhongsatiern, J., Simpson, J. F., Fardo, D. W., & Estus, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033923 · Cited by 75 · see citing works
Self-citationGenetic Variability in CLU and Its Association with Alzheimer's Disease
Guerreiro, R. J., Beck, J., Gibbs, J. R., Santana, I. J., Rossor, M. N., Schott, J. M., Nalls, M. A., Ribeiro, H. F., Santiago, B., Fox, N. C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009510 · Cited by 58 · see citing works
Zou, F., Gopalraj, R. K., Lok, J., Zhu, H., Ling, I.-F., Simpson, J. F., Tucker, H. M., Kelly, J. F., Younkin, S. G., Dickson, D. W., et al. (2007) · Human Molecular Genetics · doi:10.1093/hmg/ddm365 · Cited by 58 · see citing works
Self-citationAmadori, S., & Stasi, R. (2008) · Current Opinion in Hematology · doi:10.1097/moh.0b013e3282f3de84 · Cited by 5 · see citing works
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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
Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration
Deczkowska, A., Keren-Shaul, H., Weiner, A., Colonna, M., Schwartz, M., & Amit, I. (2018) · Cell · doi:10.1016/j.cell.2018.05.003 · Cited by 1,474 · see citing works
Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357 · see citing works
The genetic landscape of Alzheimer disease: clinical implications and perspectives
Van Cauwenberghe, C., Van Broeckhoven, C., & Sleegers, K. (2016) · Genetics in Medicine · doi:10.1038/gim.2015.117 · Cited by 863 · see citing works
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Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · 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
Schwartzentruber, J., Cooper, S., Liu, J. Z., Barrio-Hernandez, I., Bello, E., Kumasaka, N., Young, A. M. H., Franklin, R. J. M., Johnson, T., Estrada, K., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00776-w · Cited by 532 · see citing works
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Duan, S., & Paulson, J. C. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-102419-035900 · Cited by 452 · see citing works
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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 · see citing works
SYK coordinates neuroprotective microglial responses in neurodegenerative disease
Ennerfelt, H., Frost, E. L., Shapiro, D. A., Holliday, C., Zengeler, K. E., Voithofer, G., Bolte, A. C., Lammert, C. R., Kulas, J. A., Ulland, T. K., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.030 · Cited by 329 · 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
Microglia and the aging brain: are senescent microglia the key to neurodegeneration?
Angelova, D. M., & Brown, D. R. (2019) · Journal of Neurochemistry · doi:10.1111/jnc.14860 · Cited by 262 · see citing works
Bachstetter, A. D., Van Eldik, L. J., Schmitt, F. A., Neltner, J. H., Ighodaro, E. T., Webster, S. J., Patel, E., Abner, E. L., Kryscio, R. J., & Nelson, P. T. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0209-z · Cited by 258 · see citing works
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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
Liu, W., Taso, O., Wang, R., Bayram, S., Graham, A. C., Garcia-Reitboeck, P., Mallach, A., Andrews, W. D., Piers, T. M., Botia, J. A., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa209 · Cited by 214 · see citing works
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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
Self-citationDe Rossi, P., Buggia-Prévot, V., Clayton, B. L. L., Vasquez, J. B., van Sanford, C., Andrew, R. J., Lesnick, R., Botté, A., Deyts, C., Salem, S., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0124-1 · Cited by 151 · see citing works
Self-citationRaj, 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
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Li, J.-W., Zong, Y., Cao, X.-P., Tan, L., & Tan, L. (2018) · Annals of Translational Medicine · doi:10.21037/atm.2018.04.22 · Cited by 122 · see citing works
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Caldeira, C., Cunha, C., Vaz, A. R., Falcão, A. S., Barateiro, A., Seixas, E., Fernandes, A., & Brites, D. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00277 · Cited by 117 · see citing works
Alzheimer’s disease risk polymorphisms regulate gene expression in the ZCWPW1 and the CELF1 loci
Karch, C. M., Ezerskiy, L. A., Bertelsen, S., Alzheimer’s Disease Genetics Consortium (ADGC), & Goate, A. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148717 · Cited by 111 · see citing works
López González, I., Garcia-Esparcia, P., Llorens, F., & Ferrer, I. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17020206 · Cited by 101 · see citing works
ABCA7 expression is associated with Alzheimer's disease polymorphism and disease status
Vasquez, J. B., Fardo, D. W., & Estus, S. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.09.058 · Cited by 101 · see citing works
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Schwabe, T., Srinivasan, K., & Rhinn, H. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104962 · Cited by 84 · see citing works
Sensing the neuronal glycocalyx by glial sialic acid binding immunoglobulin-like lectins
Linnartz-Gerlach, B., Mathews, M., & Neumann, H. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.061 · Cited by 54 · see citing works
Katsumata, Y., Nelson, P. T., Estus, S., & Fardo, D. W. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.017 · Cited by 30 · see citing works
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- Authors
- Malik, M., Simpson, J. F., Parikh, I., Wilfred, B. R., Fardo, D. W., Nelson, P. T., & Estus, S.
- Affiliations
- University of Kentucky (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-08-14
- Volume
- 33
- Issue
- 33
- Pages
- 13320-13325
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3742922
- OpenAlex
- W2150724305
- Cited by
- 262
- References
- 28
- Citations by year
- 2026: 13 · 2025: 11 · 2024: 29 · 2023: 17 · 2022: 23 · 2021: 28 · 2020: 25 · 2019: 20 · 2018: 25 · 2017: 17 · 2016: 18 · 2015: 16 · 2014: 17 · 2013: 3
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Kentucky
- U.S. Public Health Service (P01-AGO30128)
- National Institute on Aging (P01AG030128, R01AG045775, P30AG028383, K25AG043546)
- National Institute of General Medical Sciences (P20GM103436)
- 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
- Alzheimer's disease, CD33, alternative splicing, microglia, promoter polymorphism, IgV domain, CD11b, AIF1, genetic risk factors
- MeSH terms
- Alzheimer Disease, Exons, Genotype, Humans, Immunohistochemistry, Promoter Regions, Genetic, Risk Factors, Alternative Splicing, Genetic Predisposition to Disease, Protein Isoforms, Reverse Transcriptase Polymerase Chain Reaction, Polymorphism, Single Nucleotide, Real-Time Polymerase Chain Reaction, Sialic Acid Binding Ig-like Lectin 3
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