An unconventional role for miRNA: let-7 activates toll-like receptor 7 and causes neurodegeneration
Abstract
Activation of innate immune receptors by host-derived factors exacerbates CNS damage, but the identity of these factors remains elusive. We uncovered an unconventional role for the microRNA let-7, a highly abundant regulator of gene expression in the CNS, in which extracellular let-7 activates the RNA-sensing Toll-like receptor (TLR) 7 and induces neurodegeneration through neuronal TLR7. Cerebrospinal fluid (CSF) from individuals with Alzheimer’s disease contains increased amounts of let-7b, and extracellular introduction of let-7b into the CSF of wild-type mice by intrathecal injection resulted in neurodegeneration. Mice lacking TLR7 were resistant to this neurodegenerative effect, but this susceptibility to let-7 was restored in neurons transfected with TLR7 by intrauterine electroporation of Tlr7(−/−) fetuses. Our results suggest that microRNAs can function as signaling molecules and identify TLR7 as an essential element in a pathway that contributes to the spread of CNS damage.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Let-7b, enriched in CSF of AD patients, activates neuronal TLR7 and triggers neurotoxic inflammation.
“Let-7b, enriched in CSF of AD patients, activates neuronal TLR7 and triggers neurotoxic inflammation (Lehmann et al., 2012).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Lehmann et al., 2012
Let-7b, elevated in CSF, acts as an endogenous TLR7 ligand, linking its fluid-level increase to direct neurotoxic signaling.
“Let-7b, elevated in CSF, acts as an endogenous TLR7 ligand, linking its fluid-level increase to direct neurotoxic signaling (Lehmann et al., 2012).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Lehmann et al., 2012
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 Lehmann et al., 2012
Cites
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560 · see citing works
Release of chromatin protein HMGB1 by necrotic cells triggers inflammation
Scaffidi, P., Misteli, T., & Bianchi, M. E. (2002) · Nature · doi:10.1038/nature00858 · Cited by 4,221 · see citing works
Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA
Diebold, S. S., Kaisho, T., Hemmi, H., Akira, S., & Reis e Sousa, C. (2004) · Science · doi:10.1126/science.1093616 · Cited by 3,444 · 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
Cell Signalling by MicroRNA165/6 Directs Gene Dose-Dependent Root Cell Fate
Carlsbecker, A., Lee, J.-Y., Roberts, C. J., Dettmer, J., Lehesranta, S., Zhou, J., Lindgren, O., Moreno-Risueno, M. A., Vatén, A., Thitamadee, S., et al. (2010) · Nature · doi:10.1038/nature08977 · Cited by 861 · see citing works
Experimental autoimmune encephalomyelitis repressed by microglial paralysis
Heppner, F. L., Greter, M., Marino, D., Falsig, J., Raivich, G., Hövelmeyer, N., Waisman, A., Rülicke, T., Prinz, M., Priller, J., et al. (2005) · Nature Medicine · doi:10.1038/nm1177 · Cited by 732 · see citing works
Self-citationRegulation of miRNA expression during neural cell specification
Smirnova, L., Gräfe, A., Seiler, A., Schumacher, S., Nitsch, R., & Wulczyn, F. G. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.03978.x · Cited by 707 · see citing works
Self-citationFormation and maintenance of Alzheimer's disease β-amyloid plaques in the absence of microglia
Grathwohl, S. A., Kälin, R. E., Bolmont, T., Prokop, S., Winkelmann, G., Kaeser, S. A., Odenthal, J., Radde, R., Eldh, T., Gandy, S., et al. (2009) · Nature Neuroscience · doi:10.1038/nn.2432 · Cited by 401 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation
O'Brien, J., Hayder, H., Zayed, Y., & Peng, C. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00402 · Cited by 5,287 · see citing works
RNA delivery by extracellular vesicles in mammalian cells and its applications
O’Brien, K., Breyne, K., Ughetto, S., Laurent, L. C., & Breakefield, X. O. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0251-y · Cited by 1,811 · see citing works
METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation
Pandolfini, L., Barbieri, I., Bannister, A. J., Hendrick, A., Andrews, B., Webster, N., Murat, P., Mach, P., Brandi, R., Robson, S. C., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.03.040 · Cited by 491 · see citing works
Pattern recognition receptors and central nervous system repair
Kigerl, K. A., de Rivero Vaccari, J. P., Dietrich, W. D., Popovich, P. G., & Keane, R. W. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2014.01.001 · Cited by 490 · see citing works
Modulating inflammatory monocytes with a unique microRNA gene signature ameliorates murine ALS
Butovsky, O., Siddiqui, S., Gabriely, G., Lanser, A. J., Dake, B., Murugaiyan, G., Doykan, C. E., Wu, P. M., Gali, R. R., Iyer, L. K., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci62636 · Cited by 481 · see citing works
Zhang, Z., Ohto, U., Shibata, T., Krayukhina, E., Taoka, M., Yamauchi, Y., Tanji, H., Isobe, T., Uchiyama, S., Miyake, K., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.09.011 · Cited by 461 · see citing works
Microglia: Agents of the CNS Pro-Inflammatory Response
Rodríguez-Gómez, J. A., Kavanagh, E., Engskog-Vlachos, P., Engskog, M. K. R., Herrera, A. J., Espinosa-Oliva, A. M., Joseph, B., Hajji, N., Venero, J. L., & Burguillos, M. A. (2020) · Cells · doi:10.3390/cells9071717 · Cited by 365 · see citing works
The role of neuroimmune signaling in alcoholism
Crews, F. T., Lawrimore, C. J., Walter, T. J., & Coleman, L. G. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.01.031 · Cited by 321 · see citing works
Role of Microglia TLRs in Neurodegeneration
Fiebich, B. L., Batista, C. R. A., Saliba, S. W., Yousif, N. M., & de Oliveira, A. C. P. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00329 · Cited by 291 · see citing works
Extracellular vesicles as modulators of cell-to-cell communication in the healthy and diseased brain
Pegtel, D. M., Peferoen, L., & Amor, S. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0516 · Cited by 232 · see citing works
MicroRNAs: New Regulators of Toll-Like Receptor Signalling Pathways
He, X., Jing, Z., & Cheng, G. (2014) · BioMed Research International · doi:10.1155/2014/945169 · Cited by 238 · see citing works
Functional roles and networks of non-coding RNAs in the pathogenesis of neurodegenerative diseases
Wu, Y.-Y., & Kuo, H.-C. (2020) · Journal of Biomedical Science · doi:10.1186/s12929-020-00636-z · Cited by 213 · see citing works
MicroRNAs in placental health and disease
Mouillet, J.-F., Ouyang, Y., Coyne, C. B., & Sadovsky, Y. (2015) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2015.05.057 · Cited by 195 · see citing works
Pharmacological modulation of nucleic acid sensors - therapeutic potential and persisting obstacles
Vanpouille-Box, C., Hoffmann, J. A., & Galluzzi, L. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0043-2 · Cited by 183 · see citing works
Harrison, E. B., Hochfelder, C. G., Lamberty, B. G., Meays, B. M., Morsey, B. M., Kelso, M. L., Fox, H. S., & Yelamanchili, S. V. (2016) · FEBS Open Bio · doi:10.1002/2211-5463.12092 · Cited by 151 · see citing works
Matsuda, T., Murao, N., Katano, Y., Juliandi, B., Kohyama, J., Akira, S., Kawai, T., & Nakashima, K. (2015) · Nature Communications · doi:10.1038/ncomms7514 · Cited by 145 · see citing works
ccf-mtDNA as a Potential Link Between the Brain and Immune System in Neuro-Immunological Disorders
Gambardella, S., Limanaqi, F., Ferese, R., Biagioni, F., Campopiano, R., Centonze, D., & Fornai, F. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01064 · Cited by 141 · see citing works
Pogue, A. I., & Lukiw, W. J. (2018) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-017-0572-3 · Cited by 105 · see citing works
Epigenetic memory: The Lamarckian brain
Fischer, A. (2014) · The EMBO Journal · doi:10.1002/embj.201387637 · Cited by 107 · see citing works
Emerging role of non-coding RNAs in neuroinflammation mediated by microglia and astrocytes
Yang, R., Yang, B., Liu, W., Tan, C., Chen, H., & Wang, X. (2023) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02856-0 · Cited by 91 · see citing works
Hung, Y.-F., Chen, C.-Y., Shih, Y.-C., Liu, H.-Y., Huang, C.-M., & Hsueh, Y.-P. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201712113 · Cited by 86 · see citing works
Clark, I. A., & Vissel, B. (2015) · British Journal of Pharmacology · doi:10.1111/bph.13181 · Cited by 84 · see citing works
MicroRNAs and miRceptors: a new mechanism of action for intercellular communication
Fabbri, M. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0486 · Cited by 65 · see citing works
MicroRNA Expression in the Glaucomatous Retina
Jayaram, H., Cepurna, W. O., Johnson, E. C., & Morrison, J. C. (2015) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.15-18088 · Cited by 60 · see citing works
TLR-Mediated Signal Transduction and Neurodegenerative Disorders
Adhikarla, S. V., Jha, N. K., Goswami, V. K., Sharma, A., Bhardwaj, A., Dey, A., Villa, C., Kumar, Y., & Jha, S. K. (2021) · Brain Sciences · doi:10.3390/brainsci11111373 · Cited by 50 · see citing works
Unveiling the Complex Role of Exosomes in Alzheimer’s Disease
Sun, M., & Chen, Z. (2024) · Journal of Inflammation Research · doi:10.2147/jir.s466821 · Cited by 39 · see citing works
Yoon, H., Belmonte, K. C., Kasten, T., Bateman, R., & Kim, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-13031-w · Cited by 26 · see citing works
Breast cancer: miRNAs monitoring chemoresistance and systemic therapy
Singh, S., Saini, H., Sharma, A., Gupta, S., Huddar, V. G., & Tripathi, R. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1155254 · Cited by 25 · see citing works
MicroRNAs change the games in central nervous system pharmacology
Marangon, D., Raffaele, S., Fumagalli, M., & Lecca, D. (2019) · Biochemical Pharmacology · doi:10.1016/j.bcp.2019.06.019 · Cited by 22 · see citing works
Kumbol, V., Ivanov, A., McGurran, H., Schüler, J., Zhai, Y., Ludwik, K., Hinkelmann, L., Brehm, M., Krüger, C., Küchler, J., et al. (2025) · Cell Communication and Signaling · doi:10.1186/s12964-025-02199-8 · Cited by 8 · see citing works
Self-citationKlammer, M. G., Dzaye, O., Wallach, T., Krüger, C., Gaessler, D., Buonfiglioli, A., Derkow, K., Kettenmann, H., Brinkmann, M. M., & Lehnardt, S. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.715774 · Cited by 6 · see citing works
Self-citationCell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease
Donepudi, K., Eadha, S., Rodarte, D., Sharma, B., & Kumar, S. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103211
- Authors
- Lehmann, S. M., Krüger, C., Park, B., Derkow, K., Rosenberger, K., Baumgart, J., Trimbuch, T., Eom, G., Hinz, M., Kaul, D., Habbel, P., Kälin, R., Franzoni, E., Rybak, A., Nguyen, D., Veh, R., Ninnemann, O., Peters, O., Nitsch, R., Heppner, F. L., Golenbock, D., Schott, E., Ploegh, H. L., Wulczyn, F. G., & Lehnardt, S.
- Venue
- Nature Neuroscience
- Published
- 2012-05-20
- Volume
- 15
- Issue
- 6
- Pages
- 827-835
- ISSN
- 1097-6256
- 1546-1726
- Cited by
- 697
- References
- 8
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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 ›
Are you an author, or do you see a problem with this page? Request a review