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Translational Control in Synaptic Plasticity and Cognitive Dysfunction
Open accessAbstract
Activity-dependent changes in the strength of synaptic connections are fundamental to the formation and maintenance of memory. The mechanisms underlying persistent changes in synaptic strength in the hippocampus, specifically long-term potentiation and depression, depend on new protein synthesis. Such changes are thought to be orchestrated by engaging the signaling pathways that regulate mRNA translation in neurons. In this review, we discuss the key regulatory pathways that govern translational control in response to synaptic activity and the mRNA populations that are specifically targeted by these pathways. The critical contribution of regulatory control over new protein synthesis to proper cognitive function is underscored by human disorders associated with either silencing or mutation of genes encoding proteins that directly regulate translation. In light of these clinical implications, we also consider the therapeutic potential of targeting dysregulated translational control to treat cognitive disorders of synaptic dysfunction.
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“When NMDAR activity is reduced, as with ketamine or (2R,6R)-hydroxynorketamine (2R,6R-HNK), eEF2K activity falls, eEF2 becomes dephosphorylated, and translational inhibition is rapidly lifted [141,143,145].”
From Synaptic Plasticity—Intrinsic Excitability and Antidepressant Discovery (2026) · cites this paper as [143]
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“Translational control is a central driver of rapid synaptic plasticity, with eEF2K acting as a molecular brake on protein synthesis [141,142,143].”
From Synaptic Plasticity—Intrinsic Excitability and Antidepressant Discovery (2026) · cites this paper as [143]
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“Neuronal protein synthesis has been well established as crucial for synaptic function and memory formation, and it is dysregulated in Alzheimer’s (43).”
From Apolipoprotein E2 Stimulates Protein Synthesis and Promotes Melanoma Progression and Metastasis (2023) · cites this paper as [43]
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“The synthesis of new proteins is necessary for long-term changes in synaptic plasticity and learning (132–134). In this context, learning and long-term memory formation are improved by enhanced histone acetylation (135), which could be improved by HDAC inhibitors (HDACi).”
From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [134]
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Citations
Cites
mTOR Signaling in Growth Control and Disease
Laplante, M., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.03.017 · Cited by 8,509
Bliss, T. V. P., & Gardner-Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,424
TOR signaling in growth and metabolism
Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Memory - A century of consolidation
McGaugh, J. L. (2000) · Science · doi:10.1126/science.287.5451.248 · Cited by 4,250
Upstream and downstream of mTOR
Hay, N., & Sonenberg, N. (2004) · Genes & Development · doi:10.1101/gad.1212704 · Cited by 4,181
Malenka, R. C., & Bear, M. F. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.012 · Cited by 3,968
The molecular biology of memory storage: a dialogue between genes and synapses
Kandel, E. R. (2001) · Science · doi:10.1126/science.1067020 · Cited by 3,917
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Regulation of Translation Initiation in Eukaryotes: Mechanisms and Biological Targets
Sonenberg, N., & Hinnebusch, A. G. (2009) · Cell · doi:10.1016/j.cell.2009.01.042 · Cited by 3,304
Research works printed but not linked: 2
- Bliss TV, 1973, J. Physiol., 232, 381
- Gingras AC, 2004, Curr. Top. Microbiol. Immunol., 279, 169
Cited by
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Hansen, K. B., Wollmuth, L. P., Bowie, D., Furukawa, H., Menniti, F. S., Sobolevsky, A. I., Swanson, G. T., Swanger, S. A., Greger, I. H., Nakagawa, T., et al. (2021) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000131 · Cited by 686
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Haxby, J. V., Connolly, A. C., & Guntupalli, J. S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170325 · Cited by 717
Is Alzheimer’s disease a type 3 diabetes? A critical appraisal
Kandimalla, R., Thirumala, V., & Reddy, P. H. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.08.018 · Cited by 621
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Shigeoka, T., Jung, H., Jung, J., Turner-Bridger, B., Ohk, J., Lin, J. Q., Amieux, P. S., & Holt, C. E. (2016) · Cell · doi:10.1016/j.cell.2016.05.029 · Cited by 462
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Ingolia, N. T. (2016) · Cell · doi:10.1016/j.cell.2016.02.066 · Cited by 424
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Peter Hagoort, A., & Indefrey, P. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-013847 · Cited by 413
Ferreira, S. T., Lourenco, M. V., Oliveira, M. M., & De Felice, F. G. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00191 · Cited by 373
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Boulias, K., & Greer, E. L. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00534-0 · Cited by 360
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Chou, A., Krukowski, K., Jopson, T. D., Zhu, P., Costa‐Mattioli, M., Walter, P., & Rosi, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707661114 · Cited by 255
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Spinelli, M., Fusco, S., Mainardi, M., Scala, F., Natale, F., Lapenta, R., Mattera, A., Rinaudo, M., Puma, D. D. L., Ripoli, C., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02221-9 · Cited by 213
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Kapur, M., Monaghan, C. E., & Ackerman, S. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.057 · Cited by 208
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Younts, T. J., Monday, H. R., Dudok, B., Klein, M. E., Jordan, B., Katona, I., & Castillo, P. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.040 · Cited by 180
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Descalzi, G., Gao, V., Steinman, M. Q., Suzuki, A., & Alberini, C. M. (2019) · Communications Biology · doi:10.1038/s42003-019-0495-2 · Cited by 188
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Küry, S., van Woerden, G. M., Besnard, T., Proietti Onori, M., Latypova, X., Towne, M. C., Cho, M. T., Prescott, T. E., Ploeg, M. A., Sanders, S., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.10.003 · Cited by 185
Dysregulation of Mammalian Target of Rapamycin Signaling in Mouse Models of Autism
Huber, K. M., Klann, E., Costa-Mattioli, M., & Zukin, R. S. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2656-15.2015 · Cited by 167
Self-citationMolecular mechanisms underlying alcohol-drinking behaviours
Ron, D., & Barak, S. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.85 · Cited by 165
Mercado, G., Castillo, V., Soto, P., López, N., Axten, J. M., Sardi, S. P., Hoozemans, J. J. M., & Hetz, C. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.01.004 · Cited by 183
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Zhu, P., Khatiwada, S., Cui, Y., Reineke, L. C., Dooling, S. W., Kim, J., Li, W., Walter, P., & Costa‐Mattioli, M. (2019) · Science · doi:10.1126/science.aaw5185 · Cited by 171
Self-citationHughes, D., & Mallucci, G. R. (2018) · FEBS Journal · doi:10.1111/febs.14422 · Cited by 171
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Chronic Stress Weakens Connectivity in the Prefrontal Cortex: Architectural and Molecular Changes.
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Chang, M., Lv, H., Zhang, W., Ma, C., He, X., Zhao, S., Zhang, Z.-W., Zeng, Y., Song, S., Niu, Y., et al. (2017) · Open Biology · doi:10.1098/rsob.170166 · Cited by 158
Sleep deprivation impairs memory by attenuating mTORC1-dependent protein synthesis
Tudor, J. C., Davis, E. J., Peixoto, L., Wimmer, M. E., van Tilborg, E., Park, A. J., Poplawski, S. G., Chung, C. W., Havekes, R., Huang, J., et al. (2016) · Science Signaling · doi:10.1126/scisignal.aad4949 · Cited by 160
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Zhang, P., He, D., Xu, Y., Hou, J., Pan, B.-F., Wang, Y., Liu, T., Davis, C. M., Ehli, E. A., Tan, L., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01981-8 · Cited by 156
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Gosseries, O., Di, H., Laureys, S., & Boly, M. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170339 · Cited by 153
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Korpi, E. R., den Hollander, B., Farooq, U., Vashchinkina, E., Rajkumar, R., Nutt, D. J., Hyytiä, P., & Dawe, G. S. (2015) · Pharmacological Reviews · doi:10.1124/pr.115.010967 · Cited by 148
A Mitocentric View of Parkinson's Disease
Haelterman, N. A. T., Yoon, W. H., Sandoval, H., Jaiswal, M., Shulman, J. M., & Bellen, H. J. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014317 · Cited by 141
Polyphenols and neuroprotection: therapeutic implications for cognitive decline
Caruso, G., Torrisi, S. A., Mogavero, M. P., Currenti, W., Castellano, S., Godos, J., Ferri, R., Galvano, F., Leggio, G. M., Grosso, G., et al. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.108013 · Cited by 140
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Self-citationER Proteostasis Control of Neuronal Physiology and Synaptic Function
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The Role of RNA Binding Proteins for Local mRNA Translation: Implications in Neurological Disorders
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Felice, F. G. D., & Lourenco, M. V. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00094 · Cited by 122
Chen, C.-J., Sgritta, M., Mays, J., Zhou, H., Lucero, R., Park, J., Wang, I.-C., Park, J. H., Kaipparettu, B. A., Stoica, L., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0608-y · Cited by 119
Self-citationGenetic reduction of eEF2 kinase alleviates pathophysiology in Alzheimer’s disease model mice
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Johnson, J. L., Stoica, L., Liu, Y., Zhu, P., Bhattacharya, A., Buffington, S. A., Huq, R., Eissa, N. T., Larsson, O. S., Porse, B. T., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.08.027 · Cited by 80
Self-citationControl of the eIF4E activity: structural insights and pharmacological implications
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Lourenco, M. V., Ferreira, S. T., & Felice, F. G. D. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.03.003 · Cited by 74
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Pitcher, M. R., Herrera, J. A., Buffington, S. A., Kochukov, M. Y., Merritt, J. K., Fisher, A., Schanen, N. C., Costa‐Mattioli, M., & Neul, J. L. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv030 · Cited by 70
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Sustained Activation of Postsynaptic 5-HT2A Receptors Gates Plasticity at Prefrontal Cortex Synapses
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Liu, S., Zhou, L., Yuan, H., Vieira, M., Sanz-Clemente, A., Badger, J. D., Lu, W., Traynelis, S. F., & Roche, K. W. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0827-16.2017 · Cited by 69
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Chestkov, I. V., Jestkova, E. M., Ershova, E. S., Голимбет, В. Е., Лежейко, Т. В., NIu, K., Porokhovnik, L. N., Lyapunova, N. A., Izhevskaya, V. L., Kutsev, S. I., et al. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.01.001 · Cited by 71
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Tiwari, S. S., Mizuno, K., Ghosh, A., Aziz, W., Troakes, C., Daoud, J., Golash, V., Noble, W., Hortobágyi, T., & Giese, K. P. (2016) · Brain · doi:10.1093/brain/aww205 · Cited by 65
Huang, W., Placzek, A. N., Viana Di Prisco, G., Khatiwada, S., Sidrauski, C., Krnjević, K., Walter, P., Dani, J. A., & Costa-Mattioli, M. (2016) · eLife · doi:10.7554/elife.12052 · Cited by 64
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Kim, S., Kim, D. K., Jeong, S., & Lee, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23115894 · Cited by 71
Heise, C., Taha, E., Murru, L., Ponzoni, L., Cattaneo, A., Guarnieri, F. C., Montani, C., Mossa, A., Vezzoli, E., Ippolito, G., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw075 · Cited by 62
Schörnig, M., Ju, X.-C., Fast, L., Ebert, S., Weigert, A., Kanton, S., Schaffer, T., Kasri, N. N., Treutlein, B., Peter, B. M., et al. (2021) · eLife · doi:10.7554/elife.59323 · Cited by 63
Fusco, S., Spinelli, M., Cocco, S., Ripoli, C., Mastrodonato, A., Natale, F., Rinaudo, M., Livrizzi, G., & Grassi, C. (2019) · Nature Communications · doi:10.1038/s41467-019-12793-3 · Cited by 63
Protein Translation and Psychiatric Disorders
Laguesse, S., & Dorit Ron, A. (2019) · The Neuroscientist · doi:10.1177/1073858419853236 · Cited by 58
Meet the players: local translation at the synapse
Moya, S. M. F., Bauer, K. E., & Kiebler, M. A. (2014) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2014.00084 · Cited by 57
Laguesse, S., Morisot, N., Shin, J. H., Liu, F., Adrover, M. F., Sakhai, S. A., Lopez, M. F., Phamluong, K., Griffin, W. C., Becker, H. C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.037 · Cited by 56
The effects of proteasomal inhibition on synaptic proteostasis
Hakim, V., Cohen, L. D., Zuchman, R., Ziv, T., & Ziv, N. E. (2016) · The EMBO Journal · doi:10.15252/embj.201593594 · Cited by 53
Liu, Y., Chu, J. M. T., You, R., Zhang, Y., Chang, R. C., & Wong, G. T. C. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02483-1 · Cited by 56
The malleable brain: plasticity of neural circuits and behavior – a review from students to students
Schaefer, N., Rotermund, C., Blumrich, E., Lourenco, M. V., Joshi, P., Hegemann, R. U., Jamwal, S., Ali, N., Romero, E. M. G., Sharma, S., et al. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14107 · Cited by 54
Micro-RNAs in cognition and cognitive disorders: Potential for novel biomarkers and therapeutics
Woldemichael, B. T., & Mansuy, I. M. (2015) · Biochemical Pharmacology · doi:10.1016/j.bcp.2015.11.021 · Cited by 49
Liu, F., Laguesse, S., Legastelois, R., Morisot, N., Hamida, S. B., & Dorit Ron, A. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.12 · Cited by 48
Notaras, M. J., Allen, M., Longo, F., Volk, N. L., Tóth, M., Jeon, N. L., Klann, E., & Colak, D. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0547-5 · Cited by 51
Life at Low Copy Number: How Dendrites Manage with So Few mRNAs
Kosik, K. S. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.002 · Cited by 47
The TRIM9/TRIM67 neuronal interactome reveals novel activators of morphogenesis
Menon, S., Goldfarb, D., Ho, C. T., Cloer, E. W., Boyer, N. P., Hardie, C., Bock, A. J., Johnson, E. C., Anil, J., Major, M. B., et al. (2021) · Molecular Biology of the Cell · doi:10.1091/mbc.e20-10-0622 · Cited by 46
Translational control of auditory imprinting and structural plasticity by eIF2α
Batista, G., Johnson, J. L., Dominguez, E. N., Costa‐Mattioli, M., & Peña, J. L. (2016) · eLife · doi:10.7554/elife.17197 · Cited by 45
Self-citationLongo, F., Mancini, M., Ibraheem, P. L., Aryal, S., Mesini, C., Patel, J. C., Penhos, E., Rahman, N., Mamcarz, M., Santini, E., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01099-w · Cited by 51
Li, F., Yan, C.-Q., Lin, L.-T., Li, H., Zeng, X., Liu, Y., Du, S., Zhu, W. X., & Liu, C. (2015) · BMC Complementary and Alternative Medicine · doi:10.1186/s12906-015-0656-x · Cited by 45
Mazziotti, R. M., Baroncelli, L., Ceglia, N., Chelini, G., Sala, G. D., Magnan, C., Napoli, D., Putignano, E., Silingardi, D., Tola, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms15488 · Cited by 46
Wang, H., Gaur, U., Xiao, J., Xu, B., Xu, J., & Zheng, W. (2018) · International Journal of Biological Sciences · doi:10.7150/ijbs.26230 · Cited by 46
Metadata
- Authors
- Buffington, S. A., Huang, W., & Costa-Mattioli, M.
- Affiliations
- Baylor College of Medicine (US)
- Department of Neuroscience, Memory and Brain Research Center, Baylor College of Medicine, Houston, Texas 77030;, ,
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2014-07-08
- Volume
- 37
- Issue
- 1
- Pages
- 17-38
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC4721605
- OpenAlex
- W2120053143
- Cited by
- 348
- References
- 166
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 21 · 2023: 20 · 2022: 24 · 2021: 36 · 2020: 36 · 2019: 30 · 2018: 43 · 2017: 33 · 2016: 33 · 2015: 21 · 2014: 11
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Defense
- Searle Scholars Program
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke (R01NS076708)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- translational regulation, synaptic plasticity, long-term potentiation, long-term depression, hippocampus, mRNA translation, memory formation, cognitive impairment, synaptic dysfunction
- MeSH terms
- Animals, Cognition Disorders, Hippocampus, Humans, Models, Biological, Nerve Tissue Proteins, Neuronal Plasticity, Protein Biosynthesis, Signal Transduction
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