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The innate immunity protein IFITM3 modulates γ-secretase in Alzheimer’s disease
Open accessAbstract
Innate immunity is associated with Alzheimer's disease 1, but the influence of immune activation on the production of amyloid-β is unknown 2,3. Here we identify interferon-induced transmembrane protein 3 (IFITM3) as a γ-secretase modulatory protein, and establish a mechanism by which inflammation affects the generation of amyloid-β. Inflammatory cytokines induce the expression of IFITM3 in neurons and astrocytes, which binds to γ-secretase and upregulates its activity, thereby increasing the production of amyloid-β. The expression of IFITM3 is increased with ageing and in mouse models that express familial Alzheimer's disease genes. Furthermore, knockout of IFITM3 reduces γ-secretase activity and the formation of amyloid plaques in a transgenic mouse model (5xFAD) of early amyloid deposition. IFITM3 protein is upregulated in tissue samples from a subset of patients with late-onset Alzheimer's disease that exhibit higher γ-secretase activity. The amount of IFITM3 in the γ-secretase complex has a strong and positive correlation with γ-secretase activity in samples from patients with late-onset Alzheimer's disease. These findings reveal a mechanism in which γ-secretase is modulated by neuroinflammation via IFITM3 and the risk of Alzheimer's disease is thereby increased.
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“Activated microglia may be involved in the generation of Aβ plaque by increasing the secretion of Aβ fragments; inducing the expression of interferon-induced transmembrane protein 3 (IFITM3), a γ-secretase modulatory protein; or releasing agents such as iron, which enhances the aggregation of soluble β-amyloid.37–39”
From Role of neuroinflammation in neurodegeneration development (2023) · cites this paper as [39]
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“Brain inflammation can also trigger deposition of pathological amyloid proteins via upregulation of interferon‐induced transmembrane protein 3 (IFITM3). 104”
From Senescence, brain inflammation, and oligomeric tau drive cognitive decline in Alzheimer's disease: Evidence from clinical and preclinical studies (2024) · cites this paper as [104]
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Cites
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Self-citationOakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530
Self-citationTREM2 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
Self-citationVariant of TREM2 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
TREM2 Lipid Sensing Sustains the Microglial Response in an Alzheimer’s Disease Model
Wang, Y., Cella, M., Mallinson, K., Ulrich, J. D., Young, K. L., Robinette, M. L., Gilfillan, S., Krishnan, G. M., Sudhakar, S., Zinselmeyer, B. H., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.049 · Cited by 1,736
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657
Self-citationProcessing of gene expression data generated by quantitative real-time RT-PCR.
Muller, P. Y., Janovjak, H., Miserez, A. R., & Dobbie, Z. (2002) · PubMed · Cited by 1,394
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
Kumar, D. K. V., Choi, S. H., Washicosky, K. J., Eimer, W. A., Tucker, S., Ghofrani, J., Lefkowitz, A., McColl, G., Goldstein, L. E., Tanzi, R. E., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf1059 · Cited by 971
Research works printed but not linked: 1
- Placanica, L. et al. Pen2 and presenilin-1 modulate the dynamic equilibrium of presenilin-1 and presenilin-2 gamma-secretase complexes. J. Biol. Chem. 284, 2967–2977 (2009). · DOI
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Metadata
- Authors
- Hur, J.-Y., Frost, G. R., Wu, X., Crump, C., Pan, S. J., Wong, E., Barros, M., Li, T., Nie, P., Zhai, Y., Wang, J. C., TCW, J., Guo, L., McKenzie, A., Ming, C., Zhou, X., Wang, M., Sagi, Y., Renton, A. E., Esposito, B. T., Kim, Y., Sadleir, K. R., Trinh, I., Rissman, R. A., Vassar, R., Zhang, B., Johnson, D. S., Masliah, E., Greengard, P., Goate, A., & Li, Y.-M.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Icahn School of Medicine at Mount Sinai (US)
- Rockefeller University (US)
- Northwestern University (US)
- University of California San Diego (US)
- Pfizer (United States) (US)
- Corresponding author
- Li, Yue-Ming
- ORCID
- Hur, Ji-Yeun
- Frost, Georgia R.
- Wong, Eitan
- Barros, Marilia
- Li, Thomas
- Zhai, Yujia
- TCW, Julia
- Guo, Lei
- McKenzie, Andrew
- Ming, Chen
- Zhou, Xianxiao
- Wang, Minghui
- Sagi, Yotam
- Renton, Alan E.
- Kim, Yong
- Sadleir, Katherine R.
- Trinh, Ivy
- Rissman, Robert A.
- Vassar, Robert
- Zhang, Bin
- Johnson, Douglas S.
- Masliah, Eliezer
- Greengard, Paul
- Goate, Alison
- Li, Yue-Ming
- Venue
- Nature
- Published
- 2020-09-02
- Volume
- 586
- Issue
- 7831
- Pages
- 735-740
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7919141
- OpenAlex
- W3082942379
- Cited by
- 382
- References
- 64
- Citations by year
- 2026: 53 · 2025: 51 · 2024: 53 · 2023: 68 · 2022: 77 · 2021: 65 · 2020: 15
- FWCI
- 34.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health (1s10od018522-01, 1s10od026880-01)
- National Institute on Aging (R01AG057907, R01AG026660, U01AG046170, R01AG018440, R01AG006170, RF1AG057440, K01AG062683, RF1AG057593, R01AG061350, P30AG062429)
- National Cancer Institute (P30CA008748)
- National Institute of Neurological Disorders and Stroke (R01NS096275)
- 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
- IFITM3, gamma-secretase, Alzheimer's disease, amyloid-beta, innate immunity, neuroinflammation, inflammatory cytokines, presenilin, amyloid plaques, 5xFAD mice, late-onset Alzheimer's disease, aging, familial Alzheimer's disease
- MeSH terms
- Aged, 80 and over, Aging, Alzheimer Disease, Animals, Astrocytes, Disease Models, Animal, Female, Humans, Immunity, Innate, Inflammation, Male, Membrane Proteins, Mice, Inbred C57BL, Mice, Transgenic, Risk, Up-Regulation, Amyloid beta-Protein Precursor, RNA-Binding Proteins, Age of Onset, Catalytic Domain, Mice, Presenilin-1, Amyloid Precursor Protein Secretases, HEK293 Cells
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