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Neuropathological role of PI3K/Akt/mTOR axis in Down syndrome brain
Open accessAbstract
Down syndrome (DS) is the most frequent genetic cause of intellectual disability characterized by the presence of three copies of chromosome 21 (Chr21). Individuals with DS have sufficient neuropathology for a diagnosis of Alzheimer's disease (AD) after the age of 40years. The aim of our study is to gain new insights in the molecular mechanisms impaired in DS subjects that eventually lead to the development of dementia. We evaluate the PI3K/Akt/mTOR axis in the frontal cortex from DS cases (under the age of 40years) and DS with AD neuropathology compared with age-matched controls (Young and Old). The PI3K/Akt/mTOR axis may control several key pathways involved in AD that, if aberrantly regulated, affect amyloid beta (Aβ) deposition and tau phosphorylation. Our results show a hyperactivation of PI3K/Akt/mTOR axis in individuals with DS, with and without AD pathology, in comparison with respective controls. The PI3K/Akt/mTOR deregulation results in decreased autophagy, inhibition of IRS1 and GSK3β activity. Moreover, our data suggest that aberrant activation of the PI3K/Akt/mTOR axis acts in parallel to RCAN1 in phosphorylating tau, in DS and DS/AD. In conclusion, this study provides insights into the neuropathological mechanisms that may be engaged during the development of AD in DS. We suggest that deregulation of this signaling cascade is already evident in young DS cases and persist in the presence of AD pathology. The impairment of the PI3K/Akt/mTOR axis in DS population might represent a key-contributing factor to the neurodegenerative process that culminates in Alzheimer-like dementia.
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“These oxidatively modified, and likely dysfunctional, proteins include ones associated with altered glucose metabolism, mTOR signaling (including inhibited autophagy and increased insulin resistance), and the proteostasis network42,61,62,65,66.”
From Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease (2019) · cites this paper as [61]
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“the abnormally high level of mTOR activation seen in the brains of DS mouse models (Iyer et al., 2014;Perluigi et al., 2014) and in DS fibroblasts (Bordi et al., manuscript submitted)”
From Lysosomal Dysfunction in Down Syndrome Is APP-Dependent and Mediated by APP-βCTF (C99) (2019) · cites this paper as Perluigi et al., 2014
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“Our findings support a hyperactivated AKT/mTOR/p70S6K axis with IRS1 inhibition in humans with DS‐AD. 7 , 9 , 59”
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“Higher mTORC1/S6K activity in muscle of older mice, rats and humans is associated with sarcopenia 97–101, and in brain is associated with Alzheimer’s disease 101–105.”
From Targeting the biology of aging with mTOR inhibitors (2023) · cites this paper as [103]
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Cites
Mechanism of activation of protein kinase B by insulin and IGF‐1.
Alessi, D. R., Andjelković, M., Caudwell, B., Cron, P. D., MORRICE, N. A., Cohen, P., & Hemmings, B. A. (1996) · The EMBO Journal · doi:10.1002/j.1460-2075.1996.tb01045.x · Cited by 3,014
Nutrient-dependent mTORC1 Association with the ULK1–Atg13–FIP200 Complex Required for Autophagy
Hosokawa, N., Hara, T., Kaizuka, T., Kishi, C., Takamura, A., Miura, Y., Iemura, S.-I., Natsume, T., Takehana, K., Yamada, N., et al. (2009) · Molecular Biology of the Cell · doi:10.1091/mbc.e08-12-1248 · Cited by 2,076
Talbot, K., Wang, H.-Y., Kazi, H., Han, L.-Y., Bakshi, K. P., Stucky, A., Fuino, R. L., Kawaguchi, K. R., Samoyedny, A. J., Wilson, R. S., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59903 · Cited by 1,871
Extensive Involvement of Autophagy in Alzheimer Disease: An Immuno-Electron Microscopy Study
Nixon, R. A., Wegiel, J., Kumar, A., Yu, W. H., Peterhoff, C., Cataldo, A., & Cuervo, A. M. (2005) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/64.2.113 · Cited by 1,588
Craft, S. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.233 · Cited by 1,253
Occurrence of neuropathological changes and dementia of Alzheimer’s disease in Down’s syndrome
Wisniewski, K. E., Wisniewski, H. M., & Wen, G. Y. (1985) · Annals of Neurology · doi:10.1002/ana.410170310 · Cited by 1,159
Positive and negative regulation of insulin signaling through IRS-1 phosphorylation
Gual, P., Le Marchand-Brustel, Y., & Tanti, J.-F. (2005) · Biochimie · doi:10.1016/j.biochi.2004.10.019 · Cited by 912 · cited 1×
“This signaling cascade is finely regulated by a negative feedback mechanism that suppresses Akt activity in case of a permanent activation of mTOR/p70S6K signal [52] [53] [54].”
Bomfim, T. R., Forny‐Germano, L., Sathler, L. B., Brito‐Moreira, J., Houzel, J., Decker, H., Silverman, M. A., Kazi, H., Melo, H. M., McClean, P. L., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci57256 · Cited by 849
Shah, O. J., Wang, Z., & Hunter, T. R. (2004) · Current Biology · doi:10.1016/j.cub.2004.08.026 · Cited by 800
Moloney, A. M., Griffin, R. J., Timmons, S., O’Connor, R., Ravid, R., & O’Neill, C. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.04.002 · Cited by 764
Flagged first, then by citations
Research works printed but not linked: 1
- Lovestone, 1997, The phosphorylation of tau: a critical stage in neurodevelopment and neurodegenerative processes, Neuroscience, 78, 309
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Sorted by citations
Items 101–155 of 155
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Ahmed, M. M., Block, A., Tong, S., Davisson, M. T., & Gardiner, K. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.05.002 · Cited by 16
Transcriptome Profiling Uncovers Potential Common Mechanisms in Fetal Trisomies 18 and 21
Volk, M., Maver, A., Hodžić, A., Lovrečić, L., & Peterlin, B. (2017) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2017.0123 · Cited by 15
Wong, H., Buck, J. M., Borski, C., Pafford, J., Keller, B. N., Milstead, R. A., Hanson, J. L., Stitzel, J. A., & Hoeffer, C. A. (2022) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-022-09444-y · Cited by 15
Triplication of HSA21 on alterations in structure and function of mitochondria
Ganguly, B. B., & Kadam, N. N. (2022) · Mitochondrion · doi:10.1016/j.mito.2022.05.007 · Cited by 16
Shaw, J. L., Zhang, S., & Chang, K. T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1163-15.2015 · Cited by 15
SNARE proteins rescue impaired autophagic flux in Down syndrome
Aivazidis, S., Jain, A., Rauniyar, A. K., Anderson, C. C., Marentette, J., Orlicky, D. J., Fritz, K. S., Harris, P. S., Siegel, D. M., Maclean, K. N., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223254 · Cited by 13
Geroprotective interventions in the 3xTg mouse model of Alzheimer’s disease
Sonsalla, M. M., & Lamming, D. W. (2023) · GeroScience · doi:10.1007/s11357-023-00782-w · Cited by 17
Domenico, F. D., Zuliani, I., & Tramutola, A. (2019) · Expert Review of Proteomics · doi:10.1080/14789450.2019.1691919 · Cited by 13
Self-citationLiu, Y., Zhang, Y., Ren, Z., Zeng, F., & Yan, J. (2023) · Molecules and Cells · doi:10.14348/molcells.2023.2095 · Cited by 13
Inhibition of mTORC1 improves STZ-induced AD-like impairments in mice
Cao, Y., Liu, B., Xu, W., Wang, L., Shi, F.-X., Li, N., Lei, Y., Wang, J., Tian, Q., & Zhou, X. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.06.002 · Cited by 12
Chavoshinezhad, S., Zibaii, M. I., Nazari, M. H. S., Ronaghi, A., Taei, A. A., Ghorbani, A., Pandamooz, S., Salehi, M. S., Valian, N., Motamedi, F., et al. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110344 · Cited by 13
Lanzillotta, S., Esteve, D., Lanzillotta, C., Tramutola, A., Lloret, A., Forte, E., Pesce, V., Picca, A., Domenico, F. D., Marzia Perluigi, A., et al. (2024) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2024.11.043 · Cited by 14
Self-citationHussain, A. R., Al-Romaizan, M., Ahmed, M., Thangavel, S., Al‐Dayel, F., Beg, S., Shahab Uddin, M. S., Siraj, A. K., & Al-Kuraya, K. S. (2015) · Molecular Medicine · doi:10.2119/molmed.2014.00238 · Cited by 12
PIP3-binding proteins promote age-dependent protein aggregation and limit survival in C. elegans
Ayyadevara, S., Balasubramaniam, M., Johnson, J. E., Alla, R., Mackintosh, S. G., & Reis, R. J. S. (2016) · Oncotarget · doi:10.18632/oncotarget.10549 · Cited by 12
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Zhang, Y., Zhang, J., Song, J., Xu, X., Cai, J.-S., Zhou, Y., & Gao, J. (2016) · Oncotarget · doi:10.18632/oncotarget.10172 · Cited by 11
Bhaumik, P., Ghosh, P., Ghosh, S., Feingold, E., Özbek, U., Sarkar, B., & Dey, S. K. (2017) · Genetics and Molecular Biology · doi:10.1590/1678-4685-gmb-2016-0138 · Cited by 11
Brose, R. D., Savonenko, A. V., Devenney, B., Smith, K. D., & Reeves, R. H. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00096 · Cited by 11
Zhao, H., Lou, G., Shao, Y., Wang, T., Wang, H., Guo, Q., Yang, W., Liu, H., & Liao, S. (2024) · Journal of Molecular Neuroscience · doi:10.1007/s12031-024-02205-7 · Cited by 10
Kuttikrishnan, S., Ansari, A. W., Suleman, M., Ahmad, F., Prabhu, K. S., El‐Elimat, T., Alali, F. Q., Akil, A. A., Bhat, A. A., Merhi, M., et al. (2024) · Cell Proliferation · doi:10.1111/cpr.13773 · Cited by 10
Querfurth, H., Marshall, J., Parang, K., Rioult-Pedotti, M. S., Tiwari, R., Kwon, B., Reisinger, S., & Lee, H.-K. (2022) · PLOS ONE · doi:10.1371/journal.pone.0261696 · Cited by 9
Azimzadeh, M., Cheah, P.-S., & Ling, K. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150713 · Cited by 15
Peng, Y., Zhang, L., Zhou, F., Wang, Y., Zhang, X., Fan, J., Li, S., Li, X., & Li, Y. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220610 · Cited by 9
Recent insights into the pathophysiology of mTOR pathway dysregulation
Altomare, D. A., & Gitto, S. B. (2015) · Research and Reports in Biology · doi:10.2147/rrb.s57088 · Cited by 9
Autophagy is a promising process for linking inflammation and redox homeostasis in Down syndrome
Ma, X., Li, W., Ma, J., Han, Z., Deng, S., & Wang, S. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1491563 · Cited by 9
Uguagliati, B., & Grilli, M. (2024) · Cells · doi:10.3390/cells13242037 · Cited by 8
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Wohlfert, A. J., Phares, J., & Granholm, A.-C. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13206183 · Cited by 6
Zaki, M. E., El-Bassyouni, H. T., Tosson, A. M. S., Youness, E. R., & Hussein, J. (2017) · Jornal de Pediatria (Versão em Português) · doi:10.1016/j.jpedp.2016.04.007 · Cited by 6
Alasmari, F. F., Ahmad, A., Alsanea, S., Hammad, A. M., & Al-Qerem, W. A. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1592277 · Cited by 8
Conan, P., Léon, A., Caroff, N., Rollet, C., Chaïr, L., Martin, J., Bihel, F. J. ‐., Mignen, O., Voisset, C., & Friocourt, G. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1110163 · Cited by 5
Muza, P. M., Bush, D., Pérez-González, M., Zouhair, I., Cleverley, K., Sopeña, M. L., Aoidi, R., West, S. J., Good, M. A., Tybulewicz, V. L. J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106073 · Cited by 6
Lee, H., Bostick, Z., Doherty, J., Swanson, T. L., Kelly, M. J., Quinn, J. F., Gray, N. E., & Copenhaver, P. F. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1670646 · Cited by 8
The role of leucine in the activation of cellular metabolism: a large integrative review
Gebrin, A. S., & Filho, I. J. Z. (2022) · International Journal of Nutrology · doi:10.54448/ijn22s201 · Cited by 4
Long non‑coding RNA PEG13 regulates endothelial cell senescence through the microRNA‑195/IRS1 axis
Huang, Q., Zhou, H., & Yu, S. (2023) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2023.12283 · Cited by 4
Domenico, F. D., Greco, V., Tramutola, A., Rataj-Baniowska, M., Barone, E., Lanzillotta, C., Pieroni, L., Butterfield, D. A., Hérault, Y., Pagnotta, S. E., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05432-0 · Cited by 5
Self-citationSystematic multi-omic deconvolution of the clinical heterogeneity of Down syndrome
Donovan, M. G., Chillamcherla, S., Estrada, B. A. E., Worek, K. R., Sundararajan, Z., Barstch, K. W., Sullivan, K. D., Galbraith, M. D., Rachubinski, A. L., & Espinosa, J. M. (2026) · Nature Communications · doi:10.1038/s41467-026-72946-z · Cited by 3
Choi, C., Kim, H., Oh, J., Park, C., Kim, M., Kim, C.-S., & Park, J. (2022) · Life Science Alliance · doi:10.26508/lsa.202201556 · Cited by 4
Aivazidis, S., Jain, A., Anderson, C. C., Orlicky, D. J., Rauniyar, A. K., Fritz, K. S., Harris, P. S., Siegel, D. M., Maclean, K. N., & Roede, J. R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/436782 · Cited by 3
Tramutola, A., Lanzillotta, C., Domenico, F. D., Barone, E., & Marzia Perluigi, A. (2026) · Antioxidants · doi:10.3390/antiox15040520 · Cited by 2
Self-citationMeguid, N. A., Hemimi, M., Elpatrik, G., Fouad-Elhady, E. A., Dardir, A. A., & Ahmed, H. H. (2024) · Indian Journal of Clinical Biochemistry · doi:10.1007/s12291-024-01206-y · Cited by 2
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Tekin, S., Öçal, A., Güleroğlu, F. Y., Ocal, E. U. B., Al, M., Selcuk, C. G. O., & Çetin, A. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07601-4 · Cited by 2
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Wang, B., Gao, R., & Wang, D.-H. (2017) · InTech eBooks · doi:10.5772/intechopen.68415 · Cited by 2
Marzia Perluigi, A., Domenico, F. D., & Butterfield, D. A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818845-3.00009-8 · Cited by 1
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Ts65Dn synaptic proteome partially recapitulates AD biochemical signaturePreprint
de Salazar, M. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.25.538253 · Cited by 1
Nordbeck, A. J., Martá‐Ariza, M., Ek Olofsson, H., Kanshin, E., Ueberheide, B., Jones, K., Sanford, B., Hamlett, E. D., Head, E., Mufson, E. J., et al. (2026) · Alzheimer's & Dementia · doi:10.1002/alz.71776
“7,9,59 Although the EIF4EBP1 activation Z score was not altered in the bulk analysis, RNA for this protein was significantly decreased in DG and SC, but upregulated in glial cells (Figure 1E), suggesting a heterochronic premature shift from neurogenesis to gliogenesis as well as a cell-specific…”
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Ma, Y., Tian, C., Li, S., Wang, Z., & Gu, Y. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2068691
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Meier, S. E. (2019) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2019.368
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Querfurth, H. W., & Lee, H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815868-5.00021-9
Peng, Y., Zhang, L., Zhou, F., Wang, Y., Li, S., Fan, J., Li, X., & Li, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-1148863/v1
(2021) · Biointerface Research in Applied Chemistry · doi:10.33263/briac122.23322339
Lanzillotta, C., Rataj-Baniowska, M., Prestia, F., Sette, C., Nalesso, V., Marzia Perluigi, A., Barone, E., Duchon, A., Tramutola, A., Hérault, Y., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.02.573811
Self-citationBartesaghi, R., Chen, X., Johnstone, A. D., Das, U., & Mobley, W. C. (2025) · Springer eBooks · doi:10.1007/978-3-031-89307-0_19
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Kumari, S., Pagano, R., Orzoł, K., & Jaworski, J. (2026) · Journal of Neurochemistry · doi:10.1111/jnc.70528
Mollo, N., NATALE, R., D'Ariano, M., Coppola, S., Meglio, D. D., Limone, A., Calì, G., D’Agostino, C., Pastore, N., Sarnataro, D., et al. (2026) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-026-06355-2
Metadata
- Authors
- Perluigi, M., Pupo, G., Tramutola, A., Cini, C., Coccia, R., Barone, E., Head, E., Butterfield, D. A., & Di Domenico, F.
- Affiliations
- Sapienza University of Rome (IT)
- University of Kentucky (US)
- ORCID
- Venue
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 1842
- Issue
- 7
- Pages
- 1144-1153
- ISSN
- 0925-4439 (ISSN-L)
- PMC
- PMC4062876
- OpenAlex
- W2158742765
- Cited by
- 155
- References
- 77
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 15 · 2023: 10 · 2022: 11 · 2021: 15 · 2020: 16 · 2019: 16 · 2018: 11 · 2017: 16 · 2016: 13 · 2015: 15 · 2014: 5
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Funders
- PRIN2009
- NIH (A6-05119)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute on Aging (1RO1HD064993-01)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Down syndrome and intellectual disability research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Keywords
- Down syndrome, PI3K/AKT/mTOR pathway, Alzheimer's disease, frontal cortex, autophagy, IRS-1, GSK3β, RCAN1, tau phosphorylation, amyloid-beta, intellectual disability, dementia
- MeSH terms
- Adult, Alzheimer Disease, Autophagy, DNA-Binding Proteins, Down Syndrome, Female, Frontal Lobe, Humans, Male, Middle Aged, Muscle Proteins, Phosphorylation, Case-Control Studies, Amyloid beta-Peptides, tau Proteins, Phosphatidylinositol 3-Kinases, MAP Kinase Signaling System, Intracellular Signaling Peptides and Proteins, Proto-Oncogene Proteins c-akt, Insulin Receptor Substrate Proteins, Young Adult, TOR Serine-Threonine Kinases
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