MicroRNA-125b induces tau hyperphosphorylation and cognitive deficits in Alzheimer’s disease
Abstract
Sporadic Alzheimer's disease (AD) is the most prevalent form of dementia, but no clear disease-initiating mechanism is known. Aβ deposits and neuronal tangles composed of hyperphosphorylated tau are characteristic for AD. Here, we analyze the contribution of microRNA-125b (miR-125b), which is elevated in AD. In primary neurons, overexpression of miR-125b causes tau hyperphosphorylation and an upregulation of p35, cdk5, and p44/42-MAPK signaling. In parallel, the phosphatases DUSP6 and PPP1CA and the anti-apoptotic factor Bcl-W are downregulated as direct targets of miR-125b. Knockdown of these phosphatases induces tau hyperphosphorylation, and overexpression of PPP1CA and Bcl-W prevents miR-125b-induced tau phosphorylation, suggesting that they mediate the effects of miR-125b on tau. Conversely, suppression of miR-125b in neurons by tough decoys reduces tau phosphorylation and kinase expression/activity. Injecting miR-125b into the hippocampus of mice impairs associative learning and is accompanied by downregulation of Bcl-W, DUSP6, and PPP1CA, resulting in increased tau phosphorylation in vivo. Importantly, DUSP6 and PPP1CA are also reduced in AD brains. These data implicate miR-125b in the pathogenesis of AD by promoting pathological tau phosphorylation.
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HT22 cells may be suitable for analysing neuronal apoptosis regulated by miRNAs.
“Since both miRNAs are involved in regulating processes of neuronal death [52–55], HT22 cells may be suitable for analysing neuronal apoptosis regulated by miRNAs.”
From Shared and distinct microRNA profiles between HT22, N2A and SH-SY5Y cell lines and primary mouse hippocampal neurons (2025) · cites this paper as [53]
MiR-125b is highly elevated and pathogenic in the AD brain, promoting tau hyperphosphorylation and apoptotic signaling by suppressing phosphatases such as DUSP6 and PPP1CA.
“MiR-125b is highly elevated and pathogenic in the AD brain, promoting tau hyperphosphorylation and apoptotic signaling by suppressing phosphatases such as DUSP6 and PPP1CA (Banzhaf-Strathmann et al., 2014).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Banzhaf-Strathmann et al., 2014
MiR-34a/c promotes apoptosis and impairs synaptic plasticity; their inhibition rescues memory in AD mouse models.
“MiR-34a/c also promotes apoptosis and impair synaptic plasticity; their inhibition rescues memory in AD mouse models (Banzhaf-Strathmann et al., 2014; Sarkar et al., 2016; Zovoilis et al., 2011).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Banzhaf-Strathmann et al., 2014
Inhibiting miR-21-5p reduces gliosis and protects neuronal integrity.
“Inhibiting miR-21-5p reduces gliosis and protects neuronal integrity, making it a prime candidate for astrocyte-based therapeutic strategies (Banzhaf-Strathmann et al., 2014; Garcia et al., 2022; Wang et al., 2008).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Banzhaf-Strathmann et al., 2014
Elevated levels of miR-206, miR-34a, miR-125b, and let-7b in plasma or CSF reflect trophic withdrawal, apoptosis, and innate immune activation.
“Elevated levels of miR-206, miR-34a, miR-125b, and let-7b in plasma or CSF reflect trophic withdrawal, apoptosis, and innate immune activation, highlighting their pathogenic roles in neuronal and glial cells, though cohort replication varies (Banzhaf-Strathmann et al., 2014; Lee et al., 2012; Lehmann et al., 2012; Riancho et al., 2017; Sarkar et al., 2016; Tian et al., 2014).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Banzhaf-Strathmann et al., 2014
Cites
The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303 · see citing works
Querfurth, H. W., & LaFerla, F. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0909142 · Cited by 4,569 · see citing works
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949 · see citing works
Tau-mediated neurodegeneration in Alzheimer’s disease and related disorders
Ballatore, C., Lee, V. M.-Y., & Trojanowski, J. Q. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2194 · Cited by 2,174 · see citing works
Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578 · see citing works
Cogswell, J. P., Ward, J., Taylor, I. A., Waters, M., Shi, Y., Cannon, B., Kelnar, K., Kemppainen, J., Brown, D., Chen, C., et al. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-14103 · Cited by 943 · see citing works
Regulation of Synaptic Structure and Function by FMRP-Associated MicroRNAs miR-125b and miR-132
Edbauer, D., Neilson, J. R., Foster, K. A., Wang, C.-F., Seeburg, D. P., Batterton, M. N., Tada, T., Dolan, B. M., Sharp, P. A., & Sheng, M. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.005 · Cited by 735 · see citing works
Self-citationTau protein kinases: Involvement in Alzheimer's disease
Martin, L., Latypova, X., Wilson, C. M., Magnaudeix, A., Perrin, M.-L., Yardin, C., & Terro, F. (2013) · Ageing Research Reviews · doi:10.1016/j.arr.2012.06.003 · Cited by 631 · see citing works
Kim, M. J., Dunah, A. W., Wang, Y. T., & Sheng, M. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.031 · Cited by 494 · see citing works
Alterations of the microRNA network cause neurodegenerative disease
Hébert, S. S., & De Strooper, B. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.12.003 · Cited by 452 · see citing works
Haraguchi, T., Ozaki, Y., & Iba, H. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp040 · Cited by 305 · see citing works
Takashima, A., Noguchi, K., Michel, G., Mercken, M., Hoshi, M., Ishiguro, K., & Imahori, K. (1996) · Neuroscience Letters · doi:10.1016/0304-3940(95)12257-5 · Cited by 260 · see citing works
An antagomir to microRNA Let7f promotes neuroprotection in an ischemic stroke model
Selvamani, A., Sathyan, P., Miranda, R. C., & Sohrabji, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032662 · Cited by 217 · see citing works
MicroRNAs and neurodegeneration: role and impact
Abe, M., & Bonini, N. M. (2013) · Trends in Cell Biology · doi:10.1016/j.tcb.2012.08.013 · Cited by 190 · see citing works
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Nativio, R., Lan, Y., Donahue, G., Sidoli, S., Berson, A., Srinivasan, A. R., Shcherbakova, O., Amlie-Wolf, A., Nie, J., Cui, X., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0696-0 · Cited by 380 · see citing works
Wang, H., Sui, H., Zheng, Y., Jiang, Y., Shi, Y., Liang, J., & Zhao, L. (2019) · Nanoscale · doi:10.1039/c9nr01255a · Cited by 324 · see citing works
Tau-based therapies in neurodegeneration: opportunities and challenges
Li, C., & Götz, J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.155 · Cited by 272 · see citing works
Advances in the development of new biomarkers for Alzheimer’s disease
Klyucherev, T. O., Olszewski, P., Shalimova, A. A., Chubarev, V. N., Tarasov, V. V., Attwood, M. M., Syvänen, S., & Schiöth, H. B. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00296-z · Cited by 241 · see citing works
Watson, C. T., Roussos, P., Garg, P., Ho, D. J., Azam, N., Katsel, P. L., Haroutunian, V., & Sharp, A. J. (2016) · Genome Medicine · doi:10.1186/s13073-015-0258-8 · Cited by 201 · see citing works
Valera, E., Spencer, B., Mott, J., Trejo, M., Adame, A., Mante, M., Rockenstein, E., Troncoso, J. C., Beach, T. G., Masliah, E., et al. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00329 · Cited by 55 · see citing works
Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer’s Disease
Rani, S., Dhar, S. B., Khajuria, A., Gupta, D., Jaiswal, P. K., Singla, N., Kaur, M., Singh, G., & Barnwal, R. P. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01330-y · Cited by 48 · see citing works
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Li, W., & Zheng, Y. (2023) · Cells · doi:10.3390/cells12101378 · Cited by 43 · see citing works
Murphy, R., Villegas-Salmerón, J., Sanz-Rodriguez, A., Engel, T., Mooney, C., Henshall, D. C., & Jimenez-Mateos, E. M. (2025) · PLOS One · doi:10.1371/journal.pone.0326401 · Cited by 3 · see citing works
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- Authors
- Banzhaf‐Strathmann, J., Benito, E., May, S., Arzberger, T., Tahirovic, S., Kretzschmar, H., Fischer, A., & Edbauer, D.
- Venue
- The EMBO Journal
- Published
- 2014-07-07
- Volume
- 33
- Issue
- 15
- Pages
- 1667-1680
- ISSN
- 0261-4189
- 1460-2075
- Cited by
- 326
- References
- 14
- Language
- en
- Funders
- Helmholtz Young Investigator program (HZ‐NG‐607)
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