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Inhibition of mTOR by Rapamycin Abolishes Cognitive Deficits and Reduces Amyloid-β Levels in a Mouse Model of Alzheimer's Disease
Open accessAbstract
BACKGROUND: Reduced TOR signaling has been shown to significantly increase lifespan in a variety of organisms [1], [2], [3], [4]. It was recently demonstrated that long-term treatment with rapamycin, an inhibitor of the mTOR pathway[5], or ablation of the mTOR target p70S6K[6] extends lifespan in mice, possibly by delaying aging. Whether inhibition of the mTOR pathway would delay or prevent age-associated disease such as AD remained to be determined. METHODOLOGY/PRINCIPAL FINDINGS: We used rapamycin administration and behavioral tools in a mouse model of AD as well as standard biochemical and immunohistochemical measures in brain tissue to provide answers for this question. Here we show that long-term inhibition of mTOR by rapamycin prevented AD-like cognitive deficits and lowered levels of Abeta(42), a major toxic species in AD[7], in the PDAPP transgenic mouse model. These data indicate that inhibition of the mTOR pathway can reduce Abeta(42) levels in vivo and block or delay AD in mice. As expected from the inhibition of mTOR, autophagy was increased in neurons of rapamycin-treated transgenic, but not in non-transgenic, PDAPP mice, suggesting that the reduction in Abeta and the improvement in cognitive function are due in part to increased autophagy, possibly as a response to high levels of Abeta. CONCLUSIONS/SIGNIFICANCE: Our data suggest that inhibition of mTOR by rapamycin, an intervention that extends lifespan in mice, can slow or block AD progression in a transgenic mouse model of the disease. Rapamycin, already used in clinical settings, may be a potentially effective therapeutic agent for the treatment of AD.
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![Figure 1 Rapamycin abrogates memory deficits in PDAPP hAPP(J20) mice. a, Rapamycin improves learning in PDAPP mice. While learning in both transgenic groups was impaired with respect to wild-type littermates' [**, P<0.001 for both comparisons, Bonferroni's post hoc test applied to a significant effect of genotype and treatment, F(3,120) = 29.46, P<0.0001, repeated measures two-way ANOVA], performance of rapamycin-fed PDAPP mice was improved with respect to the control-fed transgenic group only in the last day of training (# P = 0.036 for the comparison of performance between transgenic groups, Student's t test), indicating improved learning of rapamycin-fed PDAPP mice at day 4. No significant interaction was observed between day number and genotype (P = 0.96), indicating that genotype had roughly the same effect at all times during training. Although no significant interaction was observed between day number and treatment for control-treated animals (P = 0.91), a significant interaction was observed between day number and treatment for rapamycin-treated groups. The effect of rapamycin treatment became more pronounced as training progressed, as indicated by the slopes for the learning curves (m = −5.14 for rapamycin-treated as compared to m = −3.58 for control-treated PDAPP transgenic mice; m = −4 for rapamycin-treated as compared to m = −2.95 for control-treated non-transgenic mice). A trend to improved learning was observed in rapamycin-treated non-Tg mice, but this difference was not significant. Overall learning was effective in all groups [F(3,120) = 10.29, P<0.0001, repeated measures two-way ANOVA]. Inset, learning was effective in all experimental groups during cued training. b, Rapamycin restores spatial memory in PDAPP mice. While retention in control-fed PDAPP mice was impaired with respect to all other groups, as previously described[11], [31], [35], [50] [P values are indicated, Tukey's multiple comparisons test applied to a significant effect of genotype (P<0.0001) in one-way ANOVA], memory in rapamycin-fed PDAPP mice was indistinguishable from that of control- or rapamycin-fed non-Tg groups. A trend to improved retention was observed in rapamycin-treated non-Tg mice, but this difference did not reach statistical significance. c and d, Rapamycin treatment does not affect non-cognitive components of behavior. c, Although transgenic groups spent more time engaged in thigmotactic swim, as described[31] (** P<0.001, Bonferroni's post hoc test applied to a significant effect of genotype [F(3,440) = 15.04, P<0.0001, two-way ANOVA], no significant difference in percent time spent in thigmotactic swim was observed between transgenic groups. d, No significant difference in floating was observed between groups. Data are mean ± SEM.](/paper-figures/3d11f543eb0a4b5d8df667eae54968cb/inhibition-of-mtor-by-rapamycin-abolishes-cognitive-deficits-and-reduces-amyloid-figure-1.jpg)


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“Some studies have suggested that inhibition of mTOR activity may lead to cognitive improvement in mouse models of AD [54].”
From Tuberous Sclerosis Protein 2 (TSC2) Modulates CCN4 Cytoprotection During Apoptotic Amyloid Toxicity in Microglia (2013) · cites this paper as [54]
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“While rapamycin itself is not a strong inducer of autophagy compared to mTOR kinase inhibitors 53, the effects of rapamycin on the pathology of mouse models of Alzheimer’s disease has been attributed in part to increased autophagy 79,80.”
From Targeting the biology of aging with mTOR inhibitors (2023) · cites this paper as [80]
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Cites
Developments of a water-maze procedure for studying spatial learning in the rat
Morris, R. (1984) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(84)90007-4 · Cited by 7,180
LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing.
Kabeya, Y., Mizushima, N., Ueno, T., Yamamoto, A., Kirisako, T., Noda, T., Kominami, E., Ohsumi, Y., & Yoshimori, T. (2000) · The EMBO Journal · doi:10.1093/emboj/19.21.5720 · Cited by 6,605
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
Self-citationBjørkøy, G., Lamark, T., Brech, A., Outzen, H., Perander, M., Øvervatn, A., Stenmark, H., & Johansen, T. (2005) · The Journal of Cell Biology · doi:10.1083/jcb.200507002 · Cited by 3,276
Prolonged Rapamycin Treatment Inhibits mTORC2 Assembly and Akt/PKB
Sarbassov, D. D., Ali, S. M., Sengupta, S., Sheen, J.-H., Hsu, P. P., Bagley, A. F., Markhard, A. L., & Sabatini, D. M. (2006) · Molecular Cell · doi:10.1016/j.molcel.2006.03.029 · Cited by 2,365
Ravikumar, B., Vacher, C., Berger, Z., Davies, J. E., Luo, S., Oroz, L. G., Scaravilli, F., Easton, D. F., Duden, R., O'Kane, C. J., et al. (2004) · Nature Genetics · doi:10.1038/ng1362 · Cited by 2,347
A mammalian protein targeted by G1-arresting rapamycin–receptor complex
Brown, E. J., Albers, M. W., Bum Shin, T., ichikawa, K., Keith, C. T., Lane, W. S., & Schreiber, S. L. (1994) · Nature · doi:10.1038/369756a0 · Cited by 2,053
FoxO3 Controls Autophagy in Skeletal Muscle In Vivo
Mammucari, C., Milan, G., Romanello, V., Masiero, E., Rudolf, R., Del Piccolo, P., Burden, S. J., Di Lisi, R., Sandri, C., Zhao, J., et al. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.11.001 · Cited by 1,953
Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Model
Roberson, E. D., Scearce-Levie, K., Palop, J. J., Yan, F., Cheng, I. H., Wu, T., Gerstein, H., Yu, G.-Q., & Mucke, L. (2007) · Science · doi:10.1126/science.1141736 · Cited by 1,892
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Brose, R. D., Lehrmann, E., Zhang, Y., Reeves, R. H., Smith, K. D., & Mattson, M. P. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.021 · Cited by 26
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O’Keefe, L. V., & Denton, D. (2018) · BioMed Research International · doi:10.1155/2018/5195416 · Cited by 25
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Chaplot, K., Pimpale, L. G., Ramalingam, B., Deivasigamani, S., Kamat, S. S., & Ratnaparkhi, G. S. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.033803 · Cited by 22
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Hull, A. J., Atilano, M. L., Gergi, L., & Kinghorn, K. J. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0381 · Cited by 24
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Babygirija, R., Sonsalla, M. M., Mill, J., James, I., Han, J. H., Green, C. L., Calubag, M. F., Wade, G., Tobon, A., Michael, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49589-z · Cited by 22
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Metadata
- Authors
- Spilman, P., Podlutskaya, N., Hart, M. J., Debnath, J., Gorostiza, O., Bredesen, D., Richardson, A., Strong, R., & Galvan, V.
- Affiliations
- Buck Institute for Research on Aging (US)
- The University of Texas at San Antonio Health Science Center (US)
- University of California, San Francisco (US)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-04-01
- Volume
- 5
- Issue
- 4
- Pages
- e9979
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC2848616
- OpenAlex
- W2037653131
- Cited by
- 1,033
- References
- 52
- Citations by year
- 2026: 46 · 2025: 50 · 2024: 41 · 2023: 63 · 2022: 61 · 2021: 75 · 2020: 91 · 2019: 82 · 2018: 72 · 2017: 57 · 2016: 68 · 2015: 75 · 2014: 72 · 2013: 62 · 2012: 58
- FWCI
- 39.00
- Type
- journal article
- Language
- en
- Update notices
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- U.S. Department of Veterans Affairs
- Alzheimer's Association (NIRG-DDC-120433)
- Buck Institute for Research on Aging
- University of Texas Health Science Center at San Antonio
- National Institute on Aging (P30AG13319, P30AG013319, U01AG022307)
- National Cancer Institute (R01CA126792)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- rapamycin, mTOR inhibition, Alzheimer's disease, amyloid-beta 42, cognitive impairment, autophagy, lifespan extension, neuroprotection, therapeutic target
- MeSH terms
- Aging, Alzheimer Disease, Animals, Autophagy, Cognition Disorders, Disease Models, Animal, Immunosuppressive Agents, Signal Transduction, Amyloid beta-Peptides, Sirolimus, Mice, TOR Serine-Threonine Kinases
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