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Systematic Review of miRNA as Biomarkers in Alzheimer’s Disease
Open accessAbstract
Currently there are 850,000 people with Alzheimer's disease in the UK, with an estimated rise to 1.1 million by 2025. Alzheimer's disease is characterised by the accumulation of amyloid-beta plaques and hyperphosphorylated tau in the brain causing a progressive decline in cognitive impairment. Small non-coding microRNA (miRNA) sequences have been found to be deregulated in the peripheral blood of Alzheimer patients. A systematic review was conducted to extract all miRNA found to be significantly deregulated in the peripheral blood. These deregulated miRNAs were cross-referenced against the miRNAs deregulated in the brain at Braak Stage III. This resulted in a panel of 10 miRNAs (hsa-mir-107, hsa-mir-26b, hsa-mir-30e, hsa-mir-34a, hsa-mir-485, hsa-mir200c, hsa-mir-210, hsa-mir-146a, hsa-mir-34c, and hsa-mir-125b) hypothesised to be deregulated early in Alzheimer's disease, nearly 20 years before the onset of clinical symptoms. After network analysis of the 10 miRNAs, they were found to be associated with the immune system, cell cycle, gene expression, cellular response to stress, neuron growth factor signalling, wnt signalling, cellular senescence, and Rho GTPases.
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Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226
Regulation of microRNA biogenesis
Ha, M., & Kim, V. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3838 · Cited by 5,462
The Mini‐Mental State Examination: A Comprehensive Review
Tombaugh, T. N., & McIntyre, N. J. (1992) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1992.tb01992.x · Cited by 5,152
Knopman, D. S., DeKosky, S. T., Cummings, J. L., Chui, H., Corey–Bloom, J., Relkin, N., Small, G. W., Miller, B., & Stevens, J. C. (2001) · Neurology · doi:10.1212/wnl.56.9.1143 · Cited by 1,410
Systemic inflammation and disease progression in Alzheimer disease
Holmes, C., Cunningham, C., Zotova, E., Woolford, J., Dean, C., Kerr, S., Culliford, D., & Perry, V. H. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b6bb95 · Cited by 1,139
Missed and Delayed Diagnosis of Dementia in Primary Care: Prevalence and Contributing Factors
Bradford, A., Kunik, M. E., Schulz, P., Williams, S. P., & Singh, H. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181a6bebc · Cited by 969
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
Astrocyte Senescence as a Component of Alzheimer’s Disease
Bhat, R., Crowe, E. P., Bitto, A., Moh, M., Katsetos, C. D., Garcia, F. U., Johnson, F. B., Trojanowski, J. Q., Sell, C., & Torres, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045069 · Cited by 586
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Juźwik, C. A., S. Drake, S., Zhang, Y., Paradis-Isler, N., Sylvester, A., Amar-Zifkin, A., Douglas, C., Morquette, B., Moore, C. S., & Fournier, A. E. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101664 · Cited by 426
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
miR-212 and miR-132 Are Downregulated in Neurally Derived Plasma Exosomes of Alzheimer’s Patients
Cha, D. J., Mengel, D., Mustapic, M., Liu, W., Selkoe, D. J., Kapogiannis, D., Galasko, D., Rissman, R. A., Bennett, D. A., & Walsh, D. M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01208 · Cited by 204
Biomarkers used in Alzheimer’s disease diagnosis, treatment, and prevention
Mahaman, Y. A. R., Embaye, K. S., Huang, F., Li, L., Zhu, F., Wang, J.-Z., Liu, R., Feng, J., & Wang, X. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101544 · Cited by 149
Fan, W., Liang, C., Ou, M., Zou, T., Sun, F., Zhou, H., & Cui, L. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00090 · Cited by 116
MicroRNAs in Alzheimer’s Disease: Function and Potential Applications as Diagnostic Biomarkers
Wei, W., Wang, Z.-Y., Ma, L.-N., Zhang, T.-T., Cao, Y., & Li, H. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00160 · Cited by 103
A Systematic Review of MicroRNA Expression as Biomarker of Late-Onset Alzheimer’s Disease
Herrera-Espejo, S., Santos-Zorrozua, B., Álvarez-González, P., Lopez-Lopez, E., & Garcia-Orad, Á. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-01676-9 · Cited by 81
Emergence of Extracellular Vesicles as “Liquid Biopsy” for Neurological Disorders: Boom or Bust
Kumar, A., Nader, M. A., & Deep, G. (2024) · Pharmacological Reviews · doi:10.1124/pharmrev.122.000788 · Cited by 79
microRNAs as early biomarkers of Alzheimer’s disease: a synaptic perspective
Siedlecki-Wullich, D., Miñano-Molina, A. J., & Rodríguez-Álvarez, J. (2021) · Cells · doi:10.3390/cells10010113 · Cited by 76
A microRNA signature that correlates with cognition and is a target against cognitive decline
Islam, M. R., Kaurani, L., Berulava, T., Heilbronner, U., Budde, M., Centeno, T. P., Elerdashvili, V., Zafieriou, M., Benito, E., Sertel, S. M., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202013659 · Cited by 74
Elsayed, R., Elashiry, M., Liu, Y., El-Awady, A., Hamrick, M., & Cutler, C. W. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.669989 · Cited by 64
Urinary Biomarkers for Neurodegenerative Diseases
Seol, W., Kim, H., & Son, I. (2020) · Experimental Neurobiology · doi:10.5607/en20042 · Cited by 61
Salemi, M., Mogavero, M. P., Lanza, G., Mongioì, L. M., Calogero, A. E., & Ferri, R. (2022) · Cells · doi:10.3390/cells11121930 · Cited by 39
Lang, H.-L., Zhao, Y.-Z., Xiao, R.-J., Sun, J., Chen, Y., Hu, G.-W., & Xu, G.-H. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.350205 · Cited by 33
Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease
Pishbin, E., Sadri, F., Dehghan, A., Kiani, M. J., Hashemi, N., Zare, I., Mousavi, P., & Rahi, A. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115705 · Cited by 25
Nong, W., Bao, C., Chen, Y., & Wei, Z. (2022) · Bosnian Journal of Basic Medical Sciences · doi:10.17305/bjbms.2021.6723 · Cited by 14
Sun, X., Deng, Y., Ge, P., Peng, Q., Soufiany, I., Zhu, L., & Duan, R. (2023) · Journal of Inflammation Research · doi:10.2147/jir.s401385 · Cited by 13
Fu, X., Liu, J., Xie, J., Chen, G., Zhang, H., Meng, F., Wu, M., Li, Q., Liu, Y., Wang, W., et al. (2022) · Brain Research · doi:10.1016/j.brainres.2022.147983 · Cited by 13
Metadata
- Authors
- Swarbrick, S., Wragg, N., Ghosh, S., & Stolzing, A.
- Venue
- Molecular Neurobiology
- Published
- 2019-02-08
- Volume
- 56
- Issue
- 9
- Pages
- 6156-6167
- ISSN
- 0893-7648 (ISSN-L)
- 1559-1182
- OpenAlex
- W2912756443
- Cited by
- 350
- References
- 21
- FWCI
- 5.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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