MicroRNAs in brain aging
Abstract
Brain aging is one of the most crucial biological processes that affect the physiological balance between health and disease. Age-associated dysfunction of brain leads to severe health problems in current aging society. MicroRNAs (miRNAs) have emerged as important regulators in most physiological processes including fine-tuning of the short-term, cellular regulatory functions as well as modulation of long-term organismal lifespan. In this review, we discuss critical roles of miRNAs in the progression of normal and pathological brain aging. 50% of all known miRNAs are found in brain including cortex and hippocampus. A significant number of expressed miRNAs were differentially regulated during aging, implicating miRNAs as regulators of brain aging. The ability of miRNAs to regulate multiple targets within a pathway or even multiple pathways allows for coordinated regulation of brain functions. miRNA-mediated, brain functional changes are evident in cognition, inflammation, neuroprotection, lipid metabolism, mitochondrial function and lifespan. Dysregulation of brain miRNAs contributes to accelerated cognitive decline and increased neurological disorders. Elucidating mechanisms by which miRNAs and their multiple targets are temporally and spatially regulated in normal and pathological brain aging will provide a deeper understanding on the process of interrelated pathways of brain aging, and a new insight into therapeutic interventions.
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?
Both miR-155-5p and miR-146a-5p regulate neuroinflammation and are implicated in neurodegenerative diseases.
“Given that both miR-155-5p and miR-146a-5p regulate neuroinflammation and are implicated in neurodegenerative diseases28, their roles in brain aging present compelling targets for further investigations.”
From A spatio-temporal brain miRNA expression atlas identifies sex-independent age-related microglial driven miR-155-5p increase (2025) · cites this paper as [28]
Cites
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339 · see citing works
Microglia as a source and target of cytokines
Hanisch, U. (2002) · Glia · doi:10.1002/glia.10161 · Cited by 1,645 · see citing works
Hypothalamic programming of systemic ageing involving IKK-β, NF-κB and GnRH
Zhang, G., Li, J., Purkayastha, S., Tang, Y., Zhang, H., Yin, Y., Li, B., Liu, G., & Cai, D. (2013) · Nature · doi:10.1038/nature12143 · Cited by 834 · see citing works
Yankner, B. A., Lu, T., & Loerch, P. (2008) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathmechdis.2.010506.092044 · Cited by 677 · see citing works
Blalock, E. M., Chen, K.-C., Sharrow, K., Herman, J. P., Porter, N. M., Foster, T. C., & Landfield, P. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-09-03807.2003 · Cited by 570 · see citing works
Cardoso, A. L., Guedes, J. R., Pereira de Almeida, L., & Pedroso de Lima, M. C. (2012) · Immunology · doi:10.1111/j.1365-2567.2011.03514.x · Cited by 336 · see citing works
MicroRNA-146a: A Key Regulator of Astrocyte-Mediated Inflammatory Response
Iyer, A., Zurolo, E., Prabowo, A., Fluiter, K., Spliet, W. G. M., van Rijen, P. C., Gorter, J. A., & Aronica, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044789 · Cited by 330 · see citing works
Liu, Q., Trotter, J., Zhang, J., Peters, M. M., Cheng, H., Bao, J., Han, X., Weeber, E. J., & Bu, G. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4067-10.2010 · Cited by 268 · 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
miR-106b impairs cholesterol efflux and increases Aβ levels by repressing ABCA1 expression
Kim, J., Yoon, H., Ramírez, C. M., Lee, S.-M., Hoe, H.-S., Fernández-Hernando, C., & Kim, J. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2011.11.010 · Cited by 173 · see citing works
Reijerkerk, A., Lopez-Ramirez, M. A., van het Hof, B., Drexhage, J. A. R., Kamphuis, W. W., Kooij, G., Vos, J. B., van der Pouw Kraan, T. C. T. M., van Zonneveld, A. J., Horrevoets, A. J., et al. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3965-12.2013 · Cited by 138 · see citing works
microRNA-33 Regulates ApoE Lipidation and Amyloid-β Metabolism in the Brain
Kim, J., Yoon, H., Horie, T., Burchett, J. M., Restivo, J. L., Rotllan, N., Ramírez, C. M., Verghese, P. B., Ihara, M., Hoe, H.-S., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2053-15.2015 · Cited by 128 · see citing works
Chételat, G., Landeau, B., Salmon, E., Yakushev, I., Bahri, M. A., Mézenge, F., Perrotin, A., Bastin, C., Manrique, A., Scheurich, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.009 · Cited by 92 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
HIV TAT-mediated microglial senescence: Role of SIRT3-dependent mitochondrial oxidative stress
Thangaraj, A., Chivero, E. T., Tripathi, A., Singh, S., Niu, F., Guo, M.-L., Pillai, P., Periyasamy, P., & Buch, S. (2021) · Redox Biology · doi:10.1016/j.redox.2020.101843 · Cited by 76 · see citing works
Engel, A., Wagner, V., Hahn, O., Foltz, A. G., Atkins, M., Beganovic, A., Guldner, I. H., Lu, N., Saksena, A., Fischer, U., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59860-6 · Cited by 18 · see citing works
- Authors
- Danka Mohammed, C. P., Park, J. S., Nam, H. G., & Kim, K.
- Venue
- Mechanisms of Ageing and Development
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 168
- Pages
- 3-9
- ISSN
- 0047-6374
- Cited by
- 68
- References
- 14
- Language
- en
- Funders
- Institute for Basic Science (IBS-R013-D1)
- DGIST R&D Program of the Ministry of Science
- ICT & Future Planning (15-BD-06)
- National Research Foundation Basic Research Program (2012R1A1A2006838)
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
