MicroRNA-92a–CPEB3 axis protects neurons against inflammatory neurodegeneration
Open accessAbstract
Neuroinflammation causes neuronal injury in multiple sclerosis (MS) and other neurological diseases. MicroRNAs (miRNAs) are important modulators of neuronal stress responses, but knowledge about their contribution to neuronal protection or damage during inflammation is limited. Here, we constructed a regulatory miRNA–mRNA network of inflamed motor neurons by leveraging cell type–specific miRNA and mRNA sequencing of mice undergoing experimental autoimmune encephalomyelitis (EAE). We found robust induction of miR-92a in inflamed spinal cord neurons and identified cytoplasmic polyadenylation element-binding protein 3 ( Cpeb3 ) as a key target of miR-92a–mediated posttranscriptional silencing. We detected CPEB3 repression in inflamed neurons in murine EAE and human MS. Moreover, both miR-92a delivery and Cpeb3 deletion protected neuronal cultures against excitotoxicity. Supporting a detrimental effect of Cpeb3 in vivo, neuron-specific deletion in conditional Cpeb3 knockout animals led to reduced inflammation-induced clinical disability in EAE. Together, we identified a neuroprotective miR-92a– Cpeb3 axis in neuroinflammation that might serve as potential treatment target to limit inflammation-induced neuronal damage.
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife · doi:10.7554/elife.05005 · Cited by 7,318 · see citing works
miRBase: from microRNA sequences to function
Kozomara, A., Birgaoanu, M., & Griffiths-Jones, S. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1141 · Cited by 4,684 · see citing works
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886 · see citing works
Reich, D. S., Lucchinetti, C. F., & Calabresi, P. A. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1401483 · Cited by 2,491 · see citing works
Immunopathology of multiple sclerosis
Dendrou, C. A., Fugger, L., & Friese, M. A. (2015) · Nature Reviews Immunology · doi:10.1038/nri3871 · Cited by 2,215 · see citing works
Self-citationRegulation of microRNA function in animals
Gebert, L. F. R., & MacRae, I. J. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0045-7 · Cited by 2,031 · see citing works
Extrasynaptic NMDARs oppose synaptic NMDARs by triggering CREB shut-off and cell death pathways
Hardingham, G. E., Fukunaga, Y., & Bading, H. (2002) · Nature Neuroscience · doi:10.1038/nn835 · Cited by 1,686 · see citing works
Synaptic versus extrasynaptic NMDA receptor signalling: implications for neurodegenerative disorders
Hardingham, G. E., & Bading, H. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2911 · Cited by 1,644 · cited 1× · see citing works
“Instead, receptors that sense extracellular glutamate excess and have been shown to drive neuronal excitotox-icity ( 22 , 35 ), i.e., by engaging extrasynaptic glutamate receptors, are suitable candidates to trigger neuronal miR-92a expression.”
Roles for MicroRNAs in Conferring Robustness to Biological Processes
Ebert, M. S., & Sharp, P. A. (2012) · Cell · doi:10.1016/j.cell.2012.04.005 · Cited by 1,564 · see citing works
A translational profiling approach for the molecular characterization of CNS cell types
Heiman, M., Schaefer, A., Gong, S., Peterson, J. D., Day, M., Ramsey, K. E., Suárez-Fariñas, M., Schwarz, C., Stephan, D. A., Surmeier, D. J., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.028 · Cited by 1,134 · see citing works
Glutamate excitotoxicity in a model of multiple sclerosis
Pitt, D., Werner, P., & Raine, C. S. (2000) · Nature Medicine · doi:10.1038/71555 · Cited by 855 · see citing works
Cytokine networks in neuroinflammation
Becher, B., Spath, S., & Goverman, J. M. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.123 · Cited by 681 · see citing works
Neuronal vulnerability and multilineage diversity in multiple sclerosis
Schirmer, L., Velmeshev, D., Holmqvist, S., Kaufmann, M., Werneburg, S., Jung, D., Vistnes, S., Stockley, J. H., Young, A., Steindel, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1404-z · Cited by 638 · see citing works
Self-citationMechanisms of neurodegeneration and axonal dysfunction in multiple sclerosis
Friese, M. A., Schattling, B., & Fugger, L. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.37 · Cited by 628 · see citing works
Self-citationCell type–specific mRNA purification by translating ribosome affinity purification (TRAP)
Heiman, M., Kulicke, R., Fenster, R. J., Greengard, P., & Heintz, N. (2014) · Nature Protocols · doi:10.1038/nprot.2014.085 · Cited by 498 · see citing works
Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation
Harris, J. A., Hirokawa, K. E., Sorensen, S. A., Gu, H., Mills, M., Ng, L. L., Bohn, P., Mortrud, M., Ouellette, B., Kidney, J., et al. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00076 · Cited by 485 · see citing works
CNS inflammation and neurodegeneration
Chitnis, T., & Weiner, H. L. (2017) · Journal of Clinical Investigation · doi:10.1172/jci90609 · Cited by 484 · see citing works
Brain atrophy in clinically early relapsing–remitting multiple sclerosis
Chard, D., Griffin, C., Parker, G. J. M., Kapoor, R., Thompson, A. J., & Miller, D. H. (2002) · Brain · doi:10.1093/brain/awf025 · Cited by 459 · see citing works
Cerebellar neurodegeneration in the absence of microRNAs
Schaefer, A., O'Carroll, D., Tan, C. L., Hillman, D., Sugimori, M., Llinas, R., & Greengard, P. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070823 · Cited by 426 · see citing works
The immunology of multiple sclerosis
Attfield, K. E., Jensen, L. T., Kaufmann, M., Friese, M. A., & Fugger, L. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00718-z · Cited by 380 · see citing works
Self-citationCentonze, D., Muzio, L., Rossi, S., Cavasinni, F., De Chiara, V., Bergami, A., Musella, A., D'Amelio, M., Cavallucci, V., Martorana, A., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5804-08.2009 · Cited by 352 · see citing works
Huang, Y.-S., Jung, M.-Y., Sarkissian, M., & Richter, J. (2002) · EMBO Journal · doi:10.1093/emboj/21.9.2139 · Cited by 290 · see citing works
Self-citationCell-Type-Based Analysis of MicroRNA Profiles in the Mouse Brain
He, M., Liu, Y., Wang, X., Zhang, M. Q., Hannon, G. J., & Huang, Z. J. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.010 · Cited by 277 · see citing works
Self-citationMicroRNAs shape the neuronal landscape
McNeill, E., & Van Vactor, D. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.005 · Cited by 274 · see citing works
Fioriti, L., Myers, C., Huang, Y.-Y., Li, X., Stephan, J. S., Trifilieff, P., Colnaghi, L., Kosmidis, S., Drisaldi, B., Pavlopoulos, E., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.021 · Cited by 221 · see citing works
Self-citationMultiple sclerosis and cognition: synaptic failure and network dysfunction
Filippo, M. D., Portaccio, E., Mancini, A., & Calabresi, P. (2018) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0053-9 · Cited by 209 · see citing works
Excitatory Amino Acids and Multiple Sclerosis
Sarchielli, P., Greco, L., Floridi, A., Floridi, A., & Gallai, V. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1082 · Cited by 198 · see citing works
Lower motor neuron loss in multiple sclerosis and experimental autoimmune encephalomyelitis
Vogt, J., Paul, F., Aktaş, O., Müller-Wielsch, K., Dörr, J., Dörr, S., Bharathi, B. S., Glumm, R., Schmitz, C., Steinbusch, H. W. M., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21719 · Cited by 169 · see citing works
Mechanisms of glutamate toxicity in multiple sclerosis: biomarker and therapeutic opportunities
Macrez, R., Stys, P. K., Vivien, D., Lipton, S. A., & Docagne, F. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30165-x · Cited by 130 · see citing works
Control of oligodendroglial cell number by the miR-17-92 cluster
Budde, H., Schmitt, S., Fitzner, D., Opitz, L., Salinas-Riester, G., & Simons, M. (2010) · Development · doi:10.1242/dev.050633 · Cited by 128 · see citing works
Self-citationDrisaldi, B., Colnaghi, L., Fioriti, L., Rao, N., Myers, C., Snyder, A. M., Metzger, D. J., Tarasoff, J., Konstantinov, E., Fraser, P. E., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.061 · Cited by 120 · see citing works
Sakai, A., Saitow, F., Maruyama, M., Miyake, N., Miyake, K., Shimada, T., Okada, T., & Suzuki, H. (2017) · Nature Communications · doi:10.1038/ncomms16079 · Cited by 114 · see citing works
Han, Y.-C., Vidigal, J. A., Mu, P., Yao, E. S., Singh, I., González, A. J., Concepcion, C. P., Bonetti, C., Ogrodowski, P., Carver, B. S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3321 · Cited by 109 · see citing works
In vivo evidence of glutamate toxicity in multiple sclerosis
Azevedo, C. J., Kornak, J., Chu, P., Sampat, M. P., Okuda, D. T., Cree, B., Nelson, S. J., Hauser, S. L., & Pelletier, D. (2014) · Annals of Neurology · doi:10.1002/ana.24202 · Cited by 109 · see citing works
miR-17-92 cluster regulates adult hippocampal neurogenesis, anxiety and depression
Jin, J., Kim, S.-N., Liu, X., Zhang, H., Zhang, C., Seo, J.-S., Kim, Y., & Sun, T. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.101 · Cited by 103 · see citing works
Oasis 2: improved online analysis of small RNA-seq data
Rahman, R., Gautam, A., Bethune, J., Sattar, A., Fiošins, M., Magruder, D. S., Capece, V., Shomroni, O., & Bonn, S. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2047-z · Cited by 84 · see citing works
Chao, H., Tsai, L.-Y., Lu, Y.-L., Lin, P.-Y., Huang, W.-H., Chou, H.-J., Lu, W.-H., Lin, H., Lee, P.-T., & Huang, Y. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3043-13.2013 · Cited by 83 · see citing works
Self-citationBassoon proteinopathy drives neurodegeneration in multiple sclerosis
Schattling, B., Engler, J. B., Volkmann, C., Rothammer, N., Woo, M. S., Petersen, M., Winkler, I., Kaufmann, M., Rosenkranz, S. C., Fejtová, A., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0385-4 · Cited by 83 · see citing works
Self-citationGlobal transcriptome analysis of genetically identified neurons in the adult cortex
Rossner, M. J., Hirrlinger, J., Wichert, S. P., Boehm, C., Newrzella, D., Hiemisch, H., Eisenhardt, G., Stuenkel, C., von Ahsen, O., & Nave, K.-A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0468-06.2006 · Cited by 80 · see citing works
Regev, K., Healy, B. C., Khalid, F., Paul, A., Chu, R., Tauhid, S., Tummala, S., Diaz‐Cruz, C., Raheja, R., Mazzola, M. A., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.5197 · Cited by 76 · see citing works
Rothammer, N., Woo, M. S., Bauer, S., Binkle-Ladisch, L., Liberto, G. D., Égervári, K., Wagner, I., Haferkamp, U., Pleß, O., Merkler, D., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm5500 · Cited by 70 · see citing works
Self-citationMir-17∼92 Confers Motor Neuron Subtype Differential Resistance to ALS-Associated Degeneration
Tung, Y.-T., Peng, K.-C., Chen, Y., Yen, Y.-P., Chang, M., Thams, S., & Chen, J. (2019) · Cell stem cell · doi:10.1016/j.stem.2019.04.016 · Cited by 54 · see citing works
Clarkson, B. D. S., Kahoud, R. J., McCarthy, C. B., & Howe, C. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-09182-5 · Cited by 53 · see citing works
Neuronal metabotropic glutamate receptor 8 protects against neurodegeneration in CNS inflammation
Woo, M. S., Ufer, F., Rothammer, N., Liberto, G. D., Binkle-Ladisch, L., Haferkamp, U., Sonner, J. K., Engler, J. B., Hornig, S., Bauer, S., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20201290 · Cited by 53 · see citing works
Self-citationNMDAR signaling facilitates the IPO5-mediated nuclear import of CPEB3
Chao, H., Lai, Y.-T., Lu, Y.-L., Lin, C.-L., Mai, W., & Huang, Y. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks598 · Cited by 52 · see citing works
Self-citationWaku, T., Katayama, H., Hiraoka, M., Hatanaka, A., Nakamura, N., Tanaka, Y., Tamura, N., Watanabe, A., & Kobayashi, A. (2020) · Molecular and Cellular Biology · doi:10.1128/mcb.00010-20 · Cited by 49 · see citing works
A novel role of CPEB3 in regulating EGFR gene transcription via association with Stat5b in neurons
Peng, S.-C., Lai, Y., Huang, H., Huang, H., & Huang, Y. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq634 · Cited by 46 · see citing works
Self-citationSelective inhibition of miR‐92 in hippocampal neurons alters contextual fear memory
Vetere, G., Barbato, C., Pezzola, S., Frisone, P., Aceti, M., Ciotti, M. T., Cogoni, C., Ammassari‐Teule, M., & Ruberti, F. (2014) · Hippocampus · doi:10.1002/hipo.22326 · Cited by 45 · see citing works
Morgan, M., Iaconcig, A., & Muro, A. F. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq635 · Cited by 42 · see citing works
Grochowska, K. M., Gomes, G. M., Raman, R., Kaushik, R., Sosulina, L., Kaneko, H., Oelschlegel, A. M., Yuanxiang, P., Reyes‐Resina, I., Bayraktar, G., et al. (2023) · The EMBO Journal · doi:10.15252/embj.2022112453 · Cited by 31 · see citing works
Self-citationNeuronal microRNA regulation in Experimental Autoimmune Encephalomyelitis
Juźwik, C. A., Drake, S. S., Lécuyer, M.-A., Johnson, R. M., Morquette, B., Zhang, Y., Charabati, M., Sagan, S., Bar-Or, A., Prat, A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31542-y · Cited by 29 · see citing works
Grochowska, K. M., Sperveslage, M., Raman, R., Failla, A. V., Głów, D., Schulze, C., Laprell, L., Fehse, B., & Kreutz, M. R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112998 · Cited by 27 · see citing works
Self-citationHe, S., Wang, Z., Li, Y., Dong, J., Xiang, D., Ren, L., Guo, L., & Shu, J. (2020) · Bioscience Reports · doi:10.1042/bsr20192743 · Cited by 24 · see citing works
Topological Regulation of Synaptic AMPA Receptor Expression by the RNA-Binding Protein CPEB3
Savtchouk, I., Sun, L., Bender, C. L., Yang, Q., Szabó, G., Gasparini, S., & Liu, S. J. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.08.094 · Cited by 16 · see citing works
Kalpachidou, T., Kummer, K. K., Mitrić, M. M., & Kress, M. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00283 · Cited by 11 · see citing works
Wang, B., Yu, P., Lin, W., & Zhai, Z. (2021) · Analytical Cellular Pathology · doi:10.1155/2021/5543212 · Cited by 9 · see citing works
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Self-citationSTING orchestrates the neuronal inflammatory stress response in multiple sclerosis
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Self-citationRegulation of dynamic spatiotemporal inflammation by nanomaterials in spinal cord injury
Liu, Z., Xiang, C., Zhao, X., Aizawa, T., Niu, R., Zhao, J., Guo, F., Li, Y., Luo, W., Liu, W., et al. (2024) · Journal of Nanobiotechnology · doi:10.1186/s12951-024-03037-8 · Cited by 21 · see citing works
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- Authors
- Winkler, I., Engler, J. B., Vieira, V., Bauer, S., Liu, Y.-H., Di Liberto, G., Grochowska, K. M., Wagner, I., Bier, J., Bal, L. C., Rothammer, N., Meurs, N., Egervari, K., Schattling, B., Salinas, G., Kreutz, M. R., Huang, Y.-S., Pless, O., Merkler, D., & Friese, M. A.
- Affiliations
- University Medical Center Hamburg-Eppendorf (DE)
- Institute of Biomedical Sciences, Academia Sinica (TW)
- Department of Pathology and Immunology, Division of Clinical Pathology, Geneva Faculty of Medicine, University of Geneva and University Hospital of Geneva, Geneva 1211, Switzerland.
- University of Geneva (CH)
- Universitätsmedizin Göttingen (DE)
- Fraunhofer Institute for Translational Medicine and Pharmacology (DE)
- Corresponding author
- Friese, Manuel A.
- ORCID
- Winkler, Iris
- Engler, Jan Broder
- Vieira, Vanessa
- Bauer, Simone
- Liu, Yi-Hsiang
- Di Liberto, Giovanni
- Grochowska, Katarzyna M.
- Wagner, Ingrid
- Bier, Jasmina
- Bal, Lukas C.
- Rothammer, Nicola
- Meurs, Nina
- Egervari, Kristof
- Schattling, Benjamin
- Salinas, Gabriela
- Kreutz, Michael R.
- Huang, Yi-Shuian
- Pless, Ole
- Merkler, Doron
- Friese, Manuel A.
- Venue
- Science Advances
- Published
- 2023-11-24
- Volume
- 9
- Issue
- 47
- Pages
- eadi6855-eadi6855
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC10672163
- OpenAlex
- W4388966688
- Cited by
- 22
- References
- 58
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 5
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
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- cc-by
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- PubMed Central (publishedVersion, cc-by)
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- Archive ouverte UNIGE (University of Geneva) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- microRNA-92a, CPEB3, neuroinflammation, neuroprotection, multiple sclerosis, experimental autoimmune encephalomyelitis, motor neurons, post-transcriptional gene silencing, excitotoxicity, spinal cord, neuronal injury, miRNA-mRNA regulatory network, conditional knockout
- MeSH terms
- Neuroinflammatory Diseases, Animals, Encephalomyelitis, Autoimmune, Experimental, Humans, Inflammation, Mice, Inbred C57BL, Multiple Sclerosis, Neurons, RNA, Messenger, RNA-Binding Proteins, MicroRNAs, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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