Circulating miRNAs as Potential Biomarkers in Alzheimer's Disease
Abstract
Several micro(mi)RNA are deregulated in brain, cerebrospinal fluid (CSF), and serum/plasma from patients with Alzheimer's disease (AD). The aim of the study was to profile circulating miRNAs in serum as non-invasive biomarkers for AD, correlating them with those identified in CSF, the biological fluid which better reflects biochemical changes occurring during pathological processes in the brain and may provide a robust indicator of AD-related disease pathogenesis thanks to the evidence of low amyloid and high levels of tau and hyperphosphorylated tau. Using a two-step analysis (array and validation through real-time PCR), a down-regulation (mean fold change ± SEM) of miR-125b (0.415 ± 0.11 versus 1.381 ± 0.36, p = 0.009), miR-23a (0.111 ± 0.03 versus 0.732 ± 0.14, p < 0.001), and miR-26b (0.414 ± 0.11 versus 1.353 ± 0.39, p < 0.01), out of 84 tested, was shown in serum from 22 AD patients compared with 18 non-inflammatory and 8 inflammatory neurological controls (NINDCs and INDCs) and 10 patients with frontotemporal dementia. Significant down-regulation of miR-125b and miR-26b was also confirmed in CSF from AD patients versus NINDCs (miR-125b: 0.089 ± 0.03 versus 0.230 ± 0.08, p < 0.001; miR-26b: 0.217 ± 0.06 versus 1.255 ± 0.29, p < 0.001, mean fold change ± SEM, respectively), whereas data were not replicated for miR-23a. In serum, miR-125b had an AUC of 0.82 to distinguish AD from NINDCs (95% CI: 0.65-0.98, p = 0.005). In conclusion, we demonstrated that cell-free miR-125b…
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?
The level of miR-125b was reported to be significantly increased, decreased, or not altered in the CSF of AD patients.
“The level of miR-125b was reported to be significantly increased11, decreased13,14, or not altered16 in the CSF of AD patients.”
From Intra- and Inter-individual Variability of microRNA Levels in Human Cerebrospinal Fluid: Critical Implications for Biomarker Discovery (2017) · cites this paper as [14]
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860 · see citing works
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714 · see citing works
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969 · see citing works
Frontotemporal lobar degeneration: A consensus on clinical diagnostic criteria
Neary, D., Snowden, J. S., Gustafson, L., Passant, U., Stuss, D., Black, S., Freedman, M., Kertesz, A., Robert, P. H., Albert, M., et al. (1998) · Neurology · doi:10.1212/wnl.51.6.1546 · Cited by 5,047 · see citing works
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411 · see citing works
Clinical and Pathological Diagnosis of Frontotemporal Dementia
McKhann, G. M. (2001) · Archives of Neurology · doi:10.1001/archneur.58.11.1803 · Cited by 1,475 · 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
Micro-RNA speciation in fetal, adult and Alzheimer's disease hippocampus
Lukiw, W. J. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3280148e8b · Cited by 666 · see citing works
Sethi, P., & Lukiw, W. J. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.04.052 · Cited by 402 · see citing works
Blood serum miRNA: Non-invasive biomarkers for Alzheimer's disease
Geekiyanage, H., Jicha, G. A., Nelson, P. T., & Chan, C. (2011) · Experimental Neurology · doi:10.1016/j.expneurol.2011.11.026 · Cited by 294 · see citing works
Absalon, S., Kochanek, D. M., Raghavan, V., & Krichevsky, A. M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1327-13.2013 · Cited by 290 · see citing works
Intrathecal Chemokine Synthesis in Mild Cognitive Impairment and Alzheimer Disease
Galimberti, D., Schoonenboom, N., Scheltens, P., Fenoglio, C., Bouwman, F., Venturelli, E., Guidi, I., Blankenstein, M. A., Bresolin, N., & Scarpini, E. (2006) · Archives of Neurology · doi:10.1001/archneur.63.4.538 · Cited by 289 · see citing works
Self-citationMicroRNA-223 is neuroprotective by targeting glutamate receptors
Harraz, M. M., Eacker, S. M., Wang, X., Dawson, T. M., & Dawson, V. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121288109 · Cited by 279 · see citing works
MicroRNAs in Plasma and Cerebrospinal Fluid as Potential Markers for Alzheimer's Disease
Kiko, T., Nakagawa, K., Tsuduki, T., Furukawa, K., Arai, H., & Miyazawa, T. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-130932 · Cited by 256 · see citing works
Profiling of circulating microRNAs: from single biomarkers to re-wired networks
Zampetaki, A., Willeit, P., Drozdov, I. A., Kiechl, S. J., & Mayr, M. (2011) · Cardiovascular Research · doi:10.1093/cvr/cvr266 · Cited by 255 · see citing works
Olivieri, F., Spazzafumo, L., Santini, G., Lazzarini, R., Albertini, M. C., Rippo, M. R., Galeazzi, R., Abbatecola, A. M., Marcheselli, F., Monti, D., et al. (2012) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2012.09.004 · Cited by 248 · see citing works
Müller, M., Kuiperij, H. B., Claassen, J. A. H. R., Küsters, B., & Verbeek, M. M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.07.005 · Cited by 234 · see citing works
Circulating miR-125b as a biomarker of Alzheimer's disease
Tan, L., Yu, J., Liu, Q.-Y., Tan, M., Zhang, W., Hu, N., Wang, Y.-L., Sun, L., Jiang, T., & Tan, L. (2013) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2013.10.002 · Cited by 222 · see citing works
Genome-Wide Serum microRNA Expression Profiling Identifies Serum Biomarkers for Alzheimer's Disease
Tan, L., Yu, J.-T., Tan, M.-S., Liu, Q.-Y., Wang, H.-F., Zhang, W., Jiang, T., & Tan, L. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132144 · Cited by 215 · see citing works
Fluid biomarkers in Alzheimer’s disease – current concepts
Rosén, C., Hansson, O., Blennow, K., & Zetterberg, H. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-20 · Cited by 214 · see citing works
CSF biomarkers for mild cognitive impairment and early Alzheimer's disease
Andreasen, N., & Blennow, K. (2004) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2004.10.011 · Cited by 192 · see citing works
Teunissen, C. E., Menge, T., Altıntaş, A., Alvarez-Cermeño, J. C., Bertolotto, A., Berven, F. S., Brundin, L., Comabella, M., Degn, M., Deisenhammer, F., et al. (2013) · Multiple Sclerosis Journal · doi:10.1177/1352458513488232 · Cited by 167 · see citing works
Self-citationReduced expression of hsa-miR-27a-3p in CSF of patients with Alzheimer disease
Sala Frigerio, C., Lau, P., Salta, E., Tournoy, J., Bossers, K., Vandenberghe, R., Wallin, A., Bjerke, M., Zetterberg, H., Blennow, K., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000437306.37850.22 · Cited by 156 · see citing works
Profile of microRNAs in the plasma of Parkinson’s disease patients and healthy controls
Cardo, L. F., Coto, E., de Mena, L., Ribacoba, R., Morís, G., Menéndez‐González, M., & Álvarez, V. (2013) · Journal of Neurology · doi:10.1007/s00415-013-6900-8 · Cited by 153 · see citing works
Frontotemporal Lobar Degeneration
(2016) · Elsevier eBooks · doi:10.1016/b978-0-323-44781-2.50191-1 · Cited by 118 · see citing works
Decreased circulating miRNA levels in patients with primary progressive multiple sclerosis
Fenoglio, C., Ridolfi, E., Cantoni, C., Riz, M. A. D., Bonsi, R., Serpente, M., Villa, C., Pietroboni, A. M., Naismith, R. T., Álvarez, E., et al. (2013) · Multiple Sclerosis Journal · doi:10.1177/1352458513485654 · Cited by 115 · see citing works
Self-citationGalimberti, D., Venturelli, E., Fenoglio, C., Guidi, I., Villa, C., Bergamaschini, L. C., Cortini, F., Scalabrini, D., Baron, P., Vergani, C., et al. (2008) · Journal of Neurology · doi:10.1007/s00415-008-0737-6 · Cited by 94 · see citing works
Self-citationCell‐free microRNAs as diagnostic, prognostic, and predictive biomarkers for lung cancer
Zandberga, E., Kozirovskis, V., Ābols, A., Andrējeva, D., Purkalne, G., & Linē, A. (2012) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22032 · Cited by 76 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease
Mori, M. A., Ludwig, R. G., García-Martín, R., Brandão, B. B., & Kahn, C. R. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.011 · Cited by 970 · see citing works
A multicentre validation study of the diagnostic value of plasma neurofilament light.
Ashton, N. J., Janelidze, S., Al Khleifat, A., Leuzy, A., van der Ende, E. L., Karikari, T. K., Benedet, A. L., Pascoal, T. A., Lleó, A., Parnetti, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23620-z · Cited by 545 · see citing works
Self-citationLugli, G., Cohen, A. M., Bennett, D. A., Shah, R. C., Fields, C. J., Hernandez, A. G., & Smalheiser, N. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139233 · Cited by 423 · see citing works
Systematic Review of miRNA as Biomarkers in Alzheimer’s Disease
Swarbrick, S., Wragg, N. M., Ghosh, S. K., & Stolzing, A. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-1500-y · Cited by 353 · see citing works
Molecular Basis of Familial and Sporadic Alzheimer's Disease
Dorszewska, J., Prendecki, M., Oczkowska, A., Dezor, M., & Kozubski, W. P. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160314150501 · Cited by 329 · see citing works
Are circulating microRNAs peripheral biomarkers for Alzheimer's disease?
Kumar, S., & Reddy, P. H. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.06.001 · Cited by 290 · see citing works
Circulating microRNAs as potential biomarkers for psychiatric and neurodegenerative disorders
van den Berg, M. M. J., Krauskopf, J., Ramaekers, J. G., Kleinjans, J. C. S., Prickaerts, J., & Briedé, J. J. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101732 · Cited by 253 · see citing works
Dave, V. P., Ngo, T. A., Pernestig, A.-K., Tilevik, D., Kant, K., Nguyen, T. B., Wolff, A., & Bang, D. D. (2018) · Laboratory Investigation · doi:10.1038/s41374-018-0143-3 · Cited by 249 · 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
Vella, L. J., Hill, A. F., & Cheng, L. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17020173 · Cited by 231 · see citing works
MicroRNAs as Peripheral Biomarkers in Aging and Age-Related Diseases
Kumar, S., Vijayan, M., Bhatti, J. S., & Reddy, P. H. (2017) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2016.12.013 · Cited by 216 · see citing works
Mechanisms of Melatonin in Alleviating Alzheimer’s Disease
Shukla, M., Govitrapong, P., Boontem, P., Reiter, R. J., & Satayavivad, J. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170313123454 · Cited by 191 · see citing works
Raskin, J., Cummings, J. L., Hardy, J., Schuh, K. J., & Dean, R. A. (2015) · Current Alzheimer Research · doi:10.2174/1567205012666150701103107 · Cited by 190 · see citing works
miRNA-23a/CXCR4 regulates neuropathic pain via directly targeting TXNIP/NLRP3 inflammasome axis
Pan, Z., Shan, Q., Gu, P., Wang, X. M., Tai, W. L., Sun, M.-L., Luo, X., Sun, L., & Cheung, C. W. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1073-0 · Cited by 188 · see citing works
Epigenetics of Alzheimer’s Disease
Perković, M. N., Paska, A. V., Konjevod, M., Kouter, K., Štrac, D. Š., Erjavec, G. N., & Pivac, N. (2021) · Biomolecules · doi:10.3390/biom11020195 · Cited by 181 · see citing works
Gámez‐Valero, A., Campdelacreu, J., Vilas, D., Ispierto, L., Reñé, R., Álvarez, R., Armengol, M. P., Borràs, F. E., & Beyer, K. (2019) · Translational Neurodegeneration · doi:10.1186/s40035-019-0169-5 · Cited by 175 · see citing works
Inflammatory bowel disease biomarkers
Liu, D., Saikam, V., Skrada, K. A., Merlin, D., & Iyer, S. S. (2022) · Medicinal Research Reviews · doi:10.1002/med.21893 · Cited by 178 · see citing works
McKeever, P. M., Schneider, R., Taghdiri, F., Weichert, A., Multani, N., Brown, R. A., Boxer, A. L., Karydas, A., Miller, B. L., Robertson, J., et al. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1032-x · Cited by 175 · see citing works
Differential expression of microRNAs in Alzheimer's disease brain, blood, and cerebrospinal fluid
Takousis, P., Sadlon, A., Schulz, J., Wohlers, I., Dobričić, V., Middleton, L. T., Lill, C. M., Perneczky, R., & Bertram, L. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.06.4952 · Cited by 171 · see citing works
MicroRNAs in Neurodegenerative Diseases
(2017) · International Review of Cell and Molecular Biology · doi:10.1016/bs.ircmb.2017.04.002 · Cited by 168 · see citing works
MicroRNA-455-3p as a potential peripheral biomarker for Alzheimer’s disease
Kumar, S., Vijayan, M., & Reddy, P. H. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx267 · Cited by 165 · see citing works
Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease: Current Evidence and Future Perspectives
McGrowder, D. A., Miller, F. G., Vaz, K., Nwokocha, C. R., Wilson-Clarke, C. F., Anderson, M., Brown, J., Anderson-Jackson, L., Williams, L., Latore, L., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11020215 · Cited by 167 · see citing works
Sørensen, S. S., Nygaard, A., & Christensen, T. (2016) · Translational Neurodegeneration · doi:10.1186/s40035-016-0053-5 · Cited by 164 · see citing works
MicroRNAs in Alzheimer's disease: Potential diagnostic markers and therapeutic targets
Liu, S., Fan, M., Zheng, Q., Hao, S., Yang, L., Xia, Q., Qi, C., & Ge, J. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.112681 · Cited by 156 · see citing works
Biomarkers for Alzheimer’s Disease Early Diagnosis
Ausó, E., Gómez‐Vicente, V., & Esquiva, G. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10030114 · Cited by 149 · see citing works
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 · see citing works
Nagaraj, S., Laskowska-Kaszub, K., Dębski, K. J., Wojsiat, J., Dąbrowski, M., Gabryelewicz, T., Kuźnicki, J., & Wojda, U. (2017) · Oncotarget · doi:10.18632/oncotarget.15109 · Cited by 147 · see citing works
Millan, M. J. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.03.004 · Cited by 146 · see citing works
Watson, C. N., Belli, A., & Pietro, V. D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00364 · Cited by 146 · see citing works
Blood-Based Biomarkers for Alzheimer’s Disease Diagnosis and Progression: An Overview
Varesi, A., Carrara, A., Pires, V. G., Floris, V., Pierella, E., Savioli, G., Prasad, S., Esposito, C., Ricevuti, G., Chirumbolo, S., et al. (2022) · Cells · doi:10.3390/cells11081367 · Cited by 142 · see citing works
Barbagallo, C., Mostile, G., Baglieri, G., Giunta, F., Luca, A., Raciti, L., Zappia, M., Purrello, M., Ragusa, M., & Nicoletti, A. S. Q. (2019) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-019-00751-y · Cited by 141 · see citing works
A critical evaluation of neuroprotective and neurodegenerative MicroRNAs in Alzheimer's disease
Reddy, P. H., Tonk, S. S., Kumar, S., Vijayan, M., Kandimalla, R. J. L., Kuruva, C. S., & Reddy, A. P. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.08.067 · Cited by 139 · see citing works
MicroRNAs in Human Cerebrospinal Fluid as Biomarkers for Alzheimer’s Disease
Lusardi, T. A., Phillips, J. I., Wiedrick, J. T., Harrington, C. A., Lind, B., Lapidus, J., Quinn, J. F., & Saugstad, J. A. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160835 · Cited by 135 · see citing works
Nagaraj, S., Zoltowska, K. M., Laskowska-Kaszub, K., & Wojda, U. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.10.008 · Cited by 121 · see citing works
Romano, G. L., Platania, C. B. M., Drago, F., Salomone, S., Ragusa, M., Barbagallo, C., Pietro, C. D., Purrello, M., Reibaldi, M., Avitabile, T., et al. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00168 · Cited by 117 · see citing works
Serpente, M., Fenoglio, C., D’Anca, M., Arcaro, M., Sorrentino, F., Visconte, C., Arighi, A., Fumagalli, G., Porretti, L., Cattaneo, A., et al. (2020) · Cells · doi:10.3390/cells9061443 · Cited by 115 · see citing works
Self-citationMicroRNAs in cardiovascular disease
Siasos, G., Bletsa, E., Stampouloglou, P. K., Oikonomou, E. K., Tsigkou, V., Paschou, S. Α., Vlasis, K. G., Marinos, G., Vavuranakis, M., Stefanadis, C., et al. (2020) · Hellenic Journal of Cardiology · doi:10.1016/j.hjc.2020.03.003 · Cited by 104 · see citing works
Serum miR-206 and miR-132 as Potential Circulating Biomarkers for Mild Cognitive Impairment
Xie, B., Zhou, H., Zhang, R., Song, M., Yu, L., Wang, L., Liu, Z., Zhang, Q., Cui, D., Wang, X., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142847 · Cited by 107 · see citing works
Chopra, N., Wang, R., Maloney, B., Nho, K. T., Beck, J. S., Pourshafie, N., Niculescu, A. B., Saykin, A. J., Rinaldi, C., Counts, S., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0610-2 · Cited by 103 · see citing works
Guo, R., Fan, G., Zhang, J., Wu, C., Du, Y., Ye, H., Li, Z., Wang, L., Zhang, Z., Zhang, L., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170343 · Cited by 102 · see citing works
Circulating microRNAs as Biomarkers of Alzheimer’s Disease: A Systematic Review
Wu, H. Z. Y., Ong, K. L., Seeher, K. M., Armstrong, N. J., Thalamuthu, A., Brodaty, H., Sachdev, P. S., & Mather, K. A. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150619 · Cited by 99 · see citing works
MicroRNA Biomarkers in IBD—Differential Diagnosis and Prediction of Colitis-Associated Cancer
James, J. P., Riis, L. B., Malham, M., Høgdall, E. V. S., Langholz, E., & Nielsen, B. S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217893 · Cited by 99 · see citing works
Biomarkers for Alzheimer Disease: Classical and Novel Candidates’ Review
Kadmiri, N. E., Said, N., Slassi, I., Moutawakil, B. E., & Nadifi, S. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.017 · Cited by 95 · see citing works
Circulating microRNAs in Huntington’s disease: Emerging mediators in metabolic impairment
Díez‐Planelles, C., Sánchez-Lozano, P., Crespo, M. C., Gil‐Zamorano, J., Ribacoba, R., González, N., Suárez, E., Martínez‐Descals, A., Martínez‐Camblor, P., Álvarez, V., et al. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.05.005 · Cited by 93 · see citing works
Downregulated serum miR‐223 servers as biomarker in Alzheimer's disease
Jia, L., & Liu, Y. (2016) · Cell Biochemistry and Function · doi:10.1002/cbf.3184 · Cited by 93 · see citing works
Lauretti, E., Dabrowski, K. R., & Praticò, D. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101425 · Cited by 94 · see citing works
miR-155 is involved in Alzheimer’s disease by regulating T lymphocyte function
Song, J., & Lee, J. E. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00061 · Cited by 90 · see citing works
The MiRNA Journey from Theory to Practice as a CNS Biomarker
Stoicea, N., Du, A., Lakis, D. C., Tipton, C. B., Arias-Morales, C. E., & Bergese, S. D. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2016.00011 · Cited by 89 · see citing works
Molecular and Imaging Biomarkers in Alzheimer’s Disease: A Focus on Recent Insights
Villa, C., Lavitrano, M., Salvatore, E., & Combi, R. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10030061 · Cited by 89 · see citing works
Self-citationMicroRNAs, Aging, Cellular Senescence, and Alzheimer's Disease
Reddy, P. H., Williams, J. M., Smith, F., Bhatti, J. S., Kumar, S., Vijayan, M., Kandimalla, R. J. L., Kuruva, C. S., Wang, R., Mańczak, M., et al. (2017) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2016.12.009 · Cited by 87 · see citing works
Denk, J., Oberhauser, F., Kornhuber, J., Wiltfang, J., Fassbender, K. C., Schroeter, M. L., Volk, A. E., Diehl‐Schmid, J., Prudlo, J., Danek, A., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197329 · Cited by 88 · see citing works
Early Life Stress and Epigenetics in Late-onset Alzheimer’s Dementia: A Systematic Review
Lemche, E. (2018) · Current Genomics · doi:10.2174/1389202919666171229145156 · Cited by 82 · see citing works
Fenoglio, C., Scarpini, E. A., Serpente, M., & Galimberti, D. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170702 · Cited by 82 · see citing works
Self-citationEpigenetic mechanisms of neurodegenerative diseases and acute brain injury
Bertogliat, M. J., Morris-Blanco, K. C., & Vemuganti, R. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.104642 · Cited by 76 · see citing works
Mendes‐Silva, A. P., Pereira, K. S., Araújo, G. T. T., Nicolau, E. D. S., Silva-Ferreira, C. M., Teixeira, A. L., & Diniz, B. S. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.07.017 · Cited by 73 · see citing works
microRNAs as Early Biomarkers of Alzheimer’s Disease: A Synaptic Perspective
Siedlecki‐Wullich, D., Miñano-Molina, A. J., & Rodrı́guez-Álvarez, J. (2021) · Cells · doi:10.3390/cells10010113 · Cited by 74 · see citing works
Li, D., Liu, J., Wang, W., Luo, X.-M., Zhou, X., Li, J., Cao, X., Long, X.-H., Chen, J.-G., & Qin, C. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00024 · Cited by 74 · see citing works
Micro RNA as a potential blood-based epigenetic biomarker for Alzheimer's disease
Fransquet, P., & Ryan, J. L. (2018) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2018.05.020 · Cited by 72 · see citing works
A microRNA signature that correlates with cognition and is a target against cognitive decline
Islam, R., Kaurani, L., Berulava, T., Heilbronner, U., Budde, M., Centeno, T. P., Elerdashvili, V., Zafeiriou, M.-P., Benito, E., Sertel, S. M., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202013659 · Cited by 69 · see citing works
RNA Dynamics in Alzheimer’s Disease
Rybak‐Wolf, A., & Plass, M. (2021) · Molecules · doi:10.3390/molecules26175113 · Cited by 70 · see citing works
MicroRNA expression data analysis to identify key miRNAs associated with Alzheimer's disease
Chen, J., Yan, Q., Liu, C., Lu, J., Shi, J., & Shi, Y. X. (2018) · The Journal of Gene Medicine · doi:10.1002/jgm.3014 · Cited by 68 · see citing works
The Potential Markers of Circulating microRNAs and long non-coding RNAs in Alzheimer's Disease
Zhao, Y., Zhang, Y., Zhang, L., Dong, Y., Ji, H., & Shen, L. (2018) · Aging and Disease · doi:10.14336/ad.2018.1105 · Cited by 67 · see citing works
Sun, P., Hamblin, M. H., & Yin, K. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00317-z · Cited by 66 · see citing works
Hong, H., Li, Y., & Su, B. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170156 · Cited by 64 · see citing works
Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study
Schneider, R., McKeever, P. M., Kim, T. P., Graff, C., Swieten, J. C. V., Karydas, A., Boxer, A. L., Rosen, H. J., Miller, B. L., Laforce, R. J., et al. (2018) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-317492 · Cited by 62 · see citing works
Self-citationFame, R. M., Cortés‐Campos, C., & Sive, H. L. (2020) · BioEssays · doi:10.1002/bies.201900186 · Cited by 59 · see citing works
miR-129-5p: A key factor and therapeutic target in amyotrophic lateral sclerosis
Loffreda, A., Nizzardo, M., Arosio, A., Ruepp, M., Calogero, R., Volinia, S., Galasso, M., Bendotti, C., Ferrarese, C., Lunetta, C., et al. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101803 · Cited by 61 · see citing works
The regulation of exosome function in the CNS: implications for neurodegeneration
Properzi, F., Ferroni, E., Poleggi, A., & Vinci, R. (2015) · Swiss Medical Weekly · doi:10.4414/smw.2015.14204 · Cited by 60 · see citing works
AbuelEzz, N. Z., Nasr, F. E., Abdulkader, M. A., Bassiouny, A. R., & Zaky, A. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.743573 · Cited by 60 · see citing works
Micro RNA association with synucleinopathy conversion in rapid eye movement behavior disorder
Fernández‐Santiago, R., Iranzo, Á., Gaig, C., Serradell, M., Fernández, M., TOLOSA, E. S., Santamaría, J., & Ezquerra, M. (2015) · Annals of Neurology · doi:10.1002/ana.24384 · Cited by 59 · see citing works
Sun, Y., Rong, X., Lu, W., Peng, Y., Jiang, L., Xu, S., Wang, L., & Wang, X. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142805 · Cited by 58 · see citing works
Caria, A. C. I., Nonaka, C. K. V., Cavalcante, B. R. R., Sousa, R. A. L. D., Aras, R., & Souza, B. S. D. F. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144977 · Cited by 56 · see citing works
Sanders, K. A., Benton, M. C., Lea, R. A., Maltby, V. E., Agland, S., Griffin, N., Scott, R. J., Tajouri, L., & Lechner‐Scott, J. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0253-y · Cited by 55 · see citing works
Altered Extracellular Vesicle miRNA Profile in Prodromal Alzheimer’s Disease
Visconte, C., Fenoglio, C., Serpente, M., Muti, P. C., Sacconi, A., Rigoni, M., Arighi, A., Borracci, V., Arcaro, M., Arosio, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914749 · Cited by 54 · see citing works
Self-citationPeripheral Biomarkers for Early Detection of Alzheimer’s and Parkinson’s Diseases
Htike, T. T., Mishra, S., Kumar, S., Padmanabhan, P., & Gulyás, B. Z. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1151-4 · Cited by 54 · see citing works
Batistela, M. S., Josviak, N. D., Sulzbach, C. D., & de Souza, R. L. R. (2016) · International Journal of Neuroscience · doi:10.1080/00207454.2016.1209754 · Cited by 52 · see citing works
Serum snoRNAs as biomarkers for joint ageing and post traumatic osteoarthritis
Steinbusch, M. M. F., Fang, Y., Milner, P. I., Clegg, P. D., Young, D. A., Welting, T. J. M., & Peffers, M. J. (2017) · Scientific Reports · doi:10.1038/srep43558 · Cited by 52 · see citing works
Sainaghi, P. P., Bellan, M., Lombino, F. L., Alciato, F., Carecchio, M., Galimberti, D., Fenoglio, C., Scarpini, E. A., Cantello, R. M., Pirisi, M., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160599 · Cited by 51 · see citing works
Self-citationXie, B., Liu, Z., Jiang, L., Liu, W., Song, M. L., Zhang, Q., Zhang, R., Cui, D., Wang, X., & Xu, S. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160468 · Cited by 51 · see citing works
MicroRNAs as Potential Circulating Biomarkers for Amyotrophic Lateral Sclerosis
Cloutier, F., Marrero, A., O’Connell, C. M., & Morin, P. (2014) · Journal of Molecular Neuroscience · doi:10.1007/s12031-014-0471-8 · Cited by 51 · see citing works
Krauskopf, J., de Kok, T. M. C. M., Schomaker, S., Gosink, M. M., Burt, D. A., Chandler, P. A., Warner, R. L., Johnson, K. J., Caiment, F., Kleinjans, J. C. S., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177928 · Cited by 47 · see citing works
Fonseca, Á. Y. G., Martín-Jiménez, C., Barreto, G. E., Aristizábal-Pachón, A. F., & González, J. (2021) · Biomolecules · doi:10.3390/biom11081132 · Cited by 48 · see citing works
Maldonado, I. C., Atienza, M., Sanchez-Espinosa, M. P., & Cantero, J. L. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy323 · Cited by 47 · see citing works
A Sex Perspective in Neurodegenerative Diseases: microRNAs as Possible Peripheral Biomarkers
Piscopo, P., Bellenghi, M., Manzini, V., Crestini, A., Pontecorvi, G., Corbo, M., Ortona, E., Carè, A., & Confaloni, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094423 · Cited by 47 · see citing works
Wang, L., Shui, X., Diao, Y., Chen, D., Zhou, Y., & Lee, T. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216259 · Cited by 46 · see citing works
Hydrogel micropost-based qPCR for multiplex detection of miRNAs associated with Alzheimer's disease
Choi, W., Yeom, S. Y., Kim, J., Jung, S., Jung, S., Shim, T. S., Kim, S. K., Kang, J. Y., Lee, S. H., Cho, I., et al. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.10.039 · Cited by 45 · see citing works
Azam, H. M. H., Rößling, R., Geithe, C., Khan, M. M., Dinter, F., Hanack, K., Prüß, H., Husse, B., Roggenbuck, D., Schierack, P., et al. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1386735 · Cited by 45 · see citing works
Segaran, R. C., Chan, L. Y., Wang, H., Sethi, G., & Tang, F. R. (2020) · Current Medicinal Chemistry · doi:10.2174/0929867327666200121122910 · Cited by 42 · see citing works
Wu, Q., Yuan, X., Bai, J., Han, R., Li, Z., Zhang, H., & Xiu, R. (2019) · Aging · doi:10.18632/aging.102171 · Cited by 42 · see citing works
Khodayi-Shahrak, M., Khalaj‐Kondori, M., Feizi, M. A. H., Bonyadi, M. J., & Talebi, M. (2022) · EXCLI journal · doi:10.17179/excli2022-4764 · Cited by 42 · see citing works
Circulating microRNAs as possible biomarkers for coronary artery disease: a narrative review.
Melak, T., & Baynes, H. W. (2019) · PubMed Central · Cited by 41 · see citing works
Dysregulation and Diagnostic Potential of microRNA in Alzheimer’s Disease
Pan, Y., Liu, R., Terpstra, E. J. M., Wang, Y., Qiao, F., Wang, J., Tong, Y., & Pan, B. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150451 · Cited by 40 · 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
Zhang, L., Dong, H., Si, Y., Wu, N., Cao, H., Mei, B., & Meng, B. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.011 · Cited by 39 · see citing works
Circulating Biomarker Panels in Alzheimer's Disease
Zafari, S., Backes, C., Meese, E. U., & Keller, A. (2015) · Gerontology · doi:10.1159/000375236 · Cited by 38 · see citing works
Liu, H., Fu, X., Li, Y., Li, X.-L., E, Z., Zhang, Y., & Gao, Q. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.255979 · Cited by 38 · see citing works
Metformin and insulin-resistant related diseases: Emphasis on the role of microRNAs
Alimoradi, N., Firouzabadi, N., & Fatehi, R. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111662 · Cited by 38 · see citing works
Hicks, S. D., Khurana, N., Williams, J. R., Greene, C. D., Uhlig, R., & Middleton, F. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198288 · Cited by 37 · see citing works
Blood-Derived Plasma Protein Biomarkers for Alzheimer’s Disease in Han Chinese
Cheng, Z., Yin, J., Yuan, H., Jin, C., Zhang, F., Wang, Z., Liu, X., Wu, Y., Wang, T., & Xiao, S. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00414 · Cited by 37 · see citing works
Westwood, S., Baird, A. L., Hye, A., Ashton, N. J., Nevado‐Holgado, A. J., Anand, S. N., Liu, B., Newby, D., Bazenet, C. E., Kiddle, S. J., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00409 · Cited by 36 · see citing works
Self-citation
- Authors
- Galimberti, D., Villa, C., Fenoglio, C., Serpente, M., Ghezzi, L., Cioffi, S. M. G., Arighi, A., Fumagalli, G., & Scarpini, E.
- Affiliations
- University of Milan (IT)
- Neurology Unit, Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
- Corresponding author
- Galimberti, Daniela
- ORCID
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2014-10-10
- Volume
- 42
- Issue
- 4
- Pages
- 1261-1267
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W1634153319
- Cited by
- 222
- References
- 29
- Citations by year
- 2026: 2 · 2025: 15 · 2024: 16 · 2023: 15 · 2022: 17 · 2021: 28 · 2020: 18 · 2019: 20 · 2018: 29 · 2017: 23 · 2016: 21 · 2015: 16 · 2014: 2
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Iris (University of Trento) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, circulating microRNAs
- MeSH terms
- Aged, Alzheimer Disease, Female, Humans, Male, Peptide Fragments, Phosphorylation, ROC Curve, Sensitivity and Specificity, Biomarkers, Amyloid beta-Peptides, tau Proteins, Area Under Curve, MicroRNAs, Frontotemporal Dementia
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
