The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
microRNA‐based predictor for diagnosis of frontotemporal dementia
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Abstract
Aims: This study aimed to explore the non‐linear relationships between cell‐free microRNAs (miRNAs) and their contribution to prediction of Frontotemporal dementia (FTD), an early onset dementia that is clinically heterogeneous, and too often suffers from delayed diagnosis. Methods: We initially studied a training cohort of 219 subjects (135 FTD and 84 non‐neurodegenerative controls) and then validated the results in a cohort of 74 subjects (33 FTD and 41 controls). Results: On the basis of cell‐free plasma miRNA profiling by next generation sequencing and machine learning approaches, we develop a non‐linear prediction model that accurately distinguishes FTD from non‐neurodegenerative controls in ~90% of cases. Conclusions: The fascinating potential of diagnostic miRNA biomarkers might enable early‐stage detection and a cost‐effective screening approach for clinical trials that can facilitate drug development.
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“Of these miRs, nine were also dysregulated in at least one of the analyzed brain tissues from FTD patients, including miR-423, miR-125b-5p, miR-185-5p, let7d-5p, miR-107, miR-361-5p, miR-379-5p, and miR-378-5p [93].”
From A role for astrocytic miR-129-5p in frontotemporal dementia (2025) · cites this paper as [93]
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“Magen et al. employed machine learning to identify a signature of 13 miRs measured in plasma to predict FTD.”
From A role for astrocytic miR-129-5p in frontotemporal dementia (2025) · cites this paper as [93]
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Watts, G. D. J., Wymer, J., Kovach, M. J., Mehta, S. G., Mumm, S., Darvish, D., Pestronk, A., Whyte, M. P., & Kimonis, V. E. (2004) · Nature Genetics · doi:10.1038/ng1332 · Cited by 1,391
Distribution of miRNA expression across human tissues
Ludwig, N., Leidinger, P., Becker, K., Backes, C., Fehlmann, T., Pallasch, C., Rheinheimer, S., Meder, B., Stähler, C., Meese, E., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw116 · Cited by 968
Exome sequencing in amyotrophic lateral sclerosis identifies risk genes and pathways
Cirulli, E. T., Lasseigne, B. N., Petrovski, S., Sapp, P. C., Dion, P. A., Leblond, C. S., Couthouis, J., Lu, Y.-F., Wang, Q., Krueger, B. J., et al. (2015) · Science · doi:10.1126/science.aaa3650 · Cited by 966
The changing scene of amyotrophic lateral sclerosis
Robberecht, W., & Philips, T. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3430 · Cited by 957
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
Strong, M. J., Abrahams, S., Goldstein, L. H., Woolley, S., Mclaughlin, P., Snowden, J., Mioshi, E., Roberts-South, A., Benatar, M., HortobáGyi, T., et al. (2017) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2016.1267768 · Cited by 909
Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementia
Skibinski, G., Parkinson, N. J., Brown, J. M., Chakrabarti, L., Lloyd, S. L., Hummerich, H., Nielsen, J. E., Hodges, J. R., Spillantini, M. G., Thusgaard, T., et al. (2005) · Nature Genetics · doi:10.1038/ng1609 · Cited by 822
Clinical, genetic and pathological heterogeneity of frontotemporal dementia: A review
Seelaar, H., Rohrer, J. D., Pijnenburg, Y. A. L., Fox, N. C., & van Swieten, J. C. (2011) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.212225 · Cited by 609
Self-citationPhosphorylated Tau in Alzheimer’s Disease and Other Tauopathies
Rawat, P., Sehar, U., Bisht, J., Selman, A., Culberson, J., & Reddy, P. H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112841 · Cited by 509
Pottier, C., Bieniek, K. F., Finch, N., van de Vorst, M., Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., van Blitterswijk, M., Nicholson, A. M., et al. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1436-x · Cited by 312
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Research works printed but not linked: 84
- 10.1001/archneur.58.11.1803 · DOI
- 10.1111/nan.12535 · DOI
- 10.1016/B978‐0‐444‐64076‐5.00027‐2 · DOI
- 10.1016/j.neuron.2011.09.011 · DOI · Paper page
- 10.1016/j.neuron.2011.09.010 · DOI · Paper page
- 10.1038/31508 · DOI · Paper page
- 10.1038/nature05016 · DOI · Paper page
- 10.1002/humu.21100 · DOI
- 10.1002/1531-8249(200012)48:6<850::AID-ANA5>3.0.CO;2-V · DOI
- 10.1126/science.1134108 · DOI · Paper page
- 10.1192/bjp.180.2.140 · DOI
- 10.1016/j.ncl.2017.01.008 · DOI · Paper page
- 10.1016/j.dadm.2015.12.004 · DOI · Paper page
- 10.1007/s11940‐017‐0484‐z · DOI
- 10.1007/s12035‐018‐0947‐6 · DOI
- 10.1038/s41598‐020‐66090‐x · DOI
- 10.1136/jnnp‐2019‐322493 · DOI · Paper page
- 10.1038/s41467‐021‐23620‐z · DOI · Paper page
- 10.1136/jnnp‐2021‐326487 · DOI · Paper page
- 10.3389/fnins.2021.679199 · DOI
- 10.1136/jnnp‐2021‐328710 · DOI
- 10.1007/s00415‐019‐09567‐8 · DOI · Paper page
- 10.1002/acn3.763 · DOI
- 10.3109/21678421.2014.971812 · DOI · Paper page
- 10.1159/000478979 · DOI
- 10.1212/01.wnl.0000436625.63650.27 · DOI · Paper page
- 10.1093/brain/awy288 · DOI
- 10.1093/gerona/gly179 · DOI
- 10.1136/jnnp‐2020‐323487 · DOI
- 10.3390/cells11030488 · DOI
- 10.1136/jnnp‐2021‐327788 · DOI · Paper page
- 10.1002/alz.12549 · DOI
- 10.1038/s41467‐022‐30387‐4 · DOI
- 10.1111/ene.15058 · DOI
- 10.1002/dad2.12285 · DOI
- 10.1080/15476286.2018.1514236 · DOI
- 10.1016/j.pneurobio.2019.101732 · DOI
- 10.1111/ene.15382 · DOI
- 10.1038/s41593‐021‐00936‐z · DOI · Paper page
- 10.1371/journal.pone.0197329 · DOI
- 10.1016/j.neurobiolaging.2019.01.024 · DOI · Paper page
- 10.3233/JAD‐180364 · DOI · Paper page
- 10.1186/s13195‐017‐0316‐0 · DOI · Paper page
- 10.1136/jnnp‐2017‐317492 · DOI · Paper page
- 10.1136/jnnp‐2020‐324647 · DOI
- 10.3390/ijms22052737 · DOI
- 10.3233/ADR‐210311 · DOI · Paper page
- 10.1097/MD.0000000000030854 · DOI · Paper page
- 10.7326/M14‐0697 · DOI · Paper page
- 10.1186/s12859‐019‐2728‐2 · DOI
- 10.1093/nar/gkt1181 · DOI · Paper page
- 10.1371/journal.pone.0157998 · DOI
- 10.1016/j.mce.2022.111723 · DOI
- 10.1016/j.atherosclerosis.2017.03.041 · DOI
- 10.1186/s13059‐014‐0550‐8 · DOI · Paper page
- 10.1111/j.1365‐2656.2008.01390.x · DOI · Paper page
- 10.1016/B978-0-12-804291-5.00012-X · DOI
- 10.1038/s42256‐019‐0138‐9 · DOI · Paper page
- 10.1155/2021/8819934 · DOI
- 10.1158/1541‐7786.MCR‐14‐0300 · DOI
- 10.2147/NDT.S260748 · DOI
- 10.1080/00401706.1970.10488634 · DOI · Paper page
- 10.1080/00401706.1970.10488635 · DOI
- 10.12659/msm.905064 · DOI
- 10.1002/jcp.28988 · DOI
- 10.1016/j.gpb.2019.09.004 · DOI
- 10.1136/jmedgenet‐2018‐105389 · DOI
- 10.1007/s12031‐018‐1235‐7 · DOI
- 10.1038/s41525‐019‐0113‐8 · DOI
- 10.1016/j.neurobiolaging.2013.07.005 · DOI · Paper page
- 10.3233/JAD‐2010‐091603 · DOI · Paper page
- 10.5114/fn.2019.84828 · DOI
- 10.1002/jcla.23006 · DOI
- 10.1089/omi.2016.0099 · DOI
- 10.1523/JNEUROSCI.5065‐07.2008 · DOI · Paper page
- 10.1002/eji.200940032 · DOI
- 10.1007/s12031‐013‐0138‐x · DOI
- 10.1016/j.gene.2014.04.069 · DOI
- 10.1007/s12031‐017‐0977‐y · DOI
- 10.1212/NXI.0000000000000491 · DOI
- 10.1016/j.jns.2017.11.014 · DOI
- 10.1016/j.jneuroim.2018.01.005 · DOI
- 10.1002/jcp.26301 · DOI
- 10.1001/jamaneurol.2016.5197 · DOI · Paper page
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Sorted by citations
A role for astrocytic miR-129-5p in frontotemporal dementia
Kaurani, L., Pradhan, R., Schröder, S., Burkhardt, S., Schuetz, A.-L., Krüger, D. M., Pena, T., Heutink, P., Sananbenesi, F., & Fischer, A. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03338-y · Cited by 10
Metadata
- Authors
- Magen, I., Yacovzada, N., Warren, J. D., Heller, C., Swift, I., Bobeva, Y., Malaspina, A., Rohrer, J. D., Fratta, P., & Hornstein, E.
- Affiliations
- Department of Molecular Genetics Weizmann Institute of Science Rehovot Israel
- Dementia Research Centre Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology London UK
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK
- Department of Neuromuscular Diseases UCL Queen Square Institute of Neurology London UK
- ORCID
- Venue
- Neuropathology and Applied Neurobiology
- Publisher
- Wiley
- Published
- 2023-07-11
- Volume
- 49
- Issue
- 4
- ISSN
- 0305-1846
- 1365-2990
- Cited by
- 12
- References
- 22
- Language
- en
- Funders
- ALS Association (21‐S1‐580)
- Alzheimer's Research Foundation
- Fondation Thierry Latran
- FP7 Ideas: European Research Council (617351)
- French Muscular Dystrophy Association (20576)
- Israel Science Foundation (135/16, 828/17, 3497/21, 424/22, 425/22)
- Minerva Foundation
- Motor Neurone Disease Association (839‐791)
- Target ALS (118945)
- Teva Pharmaceutical Industries
- Wolfson Foundation
- Alzheimer's Society (AS‐PG‐16‐007)
- UCLH Biomedical Research Centre
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