The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Circulating miR-127-3p as a Potential Biomarker for Differential Diagnosis in Frontotemporal Dementia
Abstract
Given the heterogeneous nature of frontotemporal dementia (FTD), sensitive biomarkers are greatly needed for the accurate diagnosis of this neurodegenerative disorder. Circulating miRNAs have been reported as promising biomarkers for neurodegenerative disorders and processes affecting the central nervous system, especially in aging. The objective of the study was to evaluate if some circulating miRNAs linked with apoptosis (miR-29b-3p, miR-34a-5p, miR-16-5p, miR-17-5p, miR-107, miR-19b-3p, let-7b-5p, miR-26b-5p, and 127-3p) were able to distinguish between FTD patients and healthy controls. For this study, we enrolled 127 subjects, including 54 patients with FTD, 20 patients with Alzheimer’s disease (AD), and 53 healthy controls. The qRT-PCR analysis showed a downregulation of miR-127-3p in FTD compared to controls, while the levels of other miRNAs remained unchanged. Then, miR-127-3p expression was also analyzed in AD patients, finding a different expression between two patient groups. A receiver operating characteristic curve was then created for miR-127-3p to discriminate FTD versus AD (AUC: 0.8986), and versus healthy controls (AUC: 0.8057). In conclusion, miR-127-3p could help to diagnose FTD and to distinguish it from AD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“decreased plasma levels of miR-127-3p and miR-502-3p were observed in FTD patients [89, 90].”
From A role for astrocytic miR-129-5p in frontotemporal dementia (2025) · cites this paper as [89]
Experimental — accuracy not yet measuredIn the citing paper
“decreased plasma levels of miR-127-3p and miR-502-3p were observed in FTD patients [89, 90].”
From A role for astrocytic miR-129-5p in frontotemporal dementia (2025) · cites this paper as [89]
In the citing paper
“The collection of plasma samples followed previously validated procedures [40, 41].”
From miR-92a-3p and miR-320a are Upregulated in Plasma Neuron-Derived Extracellular Vesicles of Patients with Frontotemporal Dementia (2025) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659 · cited 1×
“6% [66], even if an overall 18% rever434 sion rate from MCI to normal control was calculated 435 as well [67].”
Sachdev, P. S., Lipnicki, D. M., Kochan, N. A., Crawford, J. D., Thalamuthu, A., Andrews, G., Brayne, C., Matthews, F. E., Stephan, B. C. M., Lipton, R. B., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142388 · Cited by 380
microRNA Expression Patterns Reveal Differential Expression of Target Genes with Age
Noren Hooten, N., Abdelmohsen, K., Gorospe, M., Ejiogu, N., Zonderman, A. B., & Evans, M. K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010724 · Cited by 357
Epidemiology of early-onset dementia: a review of the literature
Vieira, R. T., Caixeta, L., Machado, S., Silva, A. C., Nardi, A. E., Arias-Carrión, O., & Carta, M. G. (2013) · Clinical Practice & Epidemiology in Mental Health · doi:10.2174/1745017901309010088 · Cited by 325
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
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
MicroRNA Profiling of CSF Reveals Potential Biomarkers to Detect Alzheimer`s Disease
Denk, J., Boelmans, K., Siegismund, C., Lassner, D., Arlt, S., & Jahn, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126423 · Cited by 236
Identification of differentially expressed microRNAs across the developing human brain
Ziats, M. N., & Rennert, O. M. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.93 · Cited by 214
Circulating miRNAs as Biomarkers for Neurodegenerative Disorders
Grasso, M., Piscopo, P., Confaloni, A., & Denti, M. (2014) · Molecules · doi:10.3390/molecules19056891 · Cited by 208
Self-citation
Research works printed but not linked: 59
- Cardarelli R, 2010, Am Fam Physician, 82, 1372
- 10.2165/11640070-000000000-00000 · DOI · Paper page
- 10.1016/S0140-6736(15)00461-4 · DOI · Paper page
- 10.3389/fnmol.2015.00009 · DOI
- 10.2165/11533100-000000000-00000 · DOI
- 10.1016/j.bbapap.2014.12.010 · DOI
- 10.1111/j.1474-9726.2012.00824.x · DOI
- 10.3389/fnagi.2016.00017 · DOI
- 10.1073/pnas.0710263105 · DOI · Paper page
- 10.1016/j.neuint.2010.09.008 · DOI
- 10.1016/S0002-9343(00)00291-6 · DOI
- 10.18632/aging.100459 · DOI
- 10.1016/j.pneurobio.2013.10.004 · DOI · Paper page
- Cao L, 2018, Exp Ther Med, 15, 67
- 10.1074/jbc.M113.535195 · DOI
- 10.1089/ars.2015.6492 · DOI
- 10.3727/096504017X15037506066252 · DOI
- 10.2478/s11658-013-0115-y · DOI
- 10.1038/s41419-018-0403-6 · DOI
- 10.18632/oncotarget.20398 · DOI
- 10.1002/jat.3571 · DOI
- 10.3892/etm.2017.4048 · DOI
- 10.1016/j.neuropharm.2016.04.046 · DOI
- 10.1042/CS20140084 · DOI
- 10.1016/j.biocel.2013.06.008 · DOI
- 10.3233/JAD-150763 · DOI
- 10.1186/s12943-018-0781-5 · DOI
- 10.1186/s13287-015-0134-x · DOI
- 10.1038/nn.3113 · DOI · Paper page
- 10.1523/JNEUROSCI.1327-13.2013 · DOI · Paper page
- 10.3892/mmr.2017.7121 · DOI
- 10.1038/cddis.2016.461 · DOI
- 10.1038/srep35205 · DOI
- Feng R, 2015, Int J Clin Exp Pathol, 8, 6107
- 10.1155/2014/860419 · DOI
- 10.1159/000488621 · DOI
- 10.1212/WNL.51.6.1546 · DOI · Paper page
- 10.1093/brain/awr179 · DOI · Paper page
- 10.1212/WNL.34.7.939 · DOI · Paper page
- 10.1016/j.ymeth.2012.09.015 · DOI
- 10.1186/gb-2002-3-7-research0034 · DOI · Paper page
- 10.1158/0008-5472.CAN-04-0496 · DOI · Paper page
- 10.1373/clinchem.2010.147553 · DOI
- 10.1089/thy.2012.0045 · DOI
- 10.3389/fnmol.2013.00043 · DOI
- 10.1186/gb-2004-5-9-r68 · DOI · Paper page
- 10.1371/journal.pone.0039151 · DOI
- 10.1371/journal.pone.0080266 · DOI
- 10.1371/journal.pone.0094839 · DOI · Paper page
- 10.1038/s41598-017-14301-3 · DOI
- 10.1186/s40035-016-0053-5 · DOI
- 10.1186/s13195-017-0316-0 · DOI · Paper page
- 10.3389/fncel.2014.00156 · DOI
- 10.1371/journal.pone.0007829 · DOI
- 10.1186/2042-6410-5-3 · DOI
- 10.1093/schbul/sbq091 · DOI
- Pietraforte D, 2016, Ann Ist Super Sanit’a, 52, 230
- 10.1016/j.jamda.2016.06.020 · DOI · Paper page
- 10.3233/JAD-141551 · DOI
Cited by
Sorted by citations
Fluid biomarkers in frontotemporal dementia: past, present and future
Swift, I. J., Sogorb-Esteve, A., Heller, C., Synofzik, M., Otto, M., Graff, C., Galimberti, D., Todd, E., Heslegrave, A. J., van der Ende, E. L., et al. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323520 · Cited by 122
Manzini, V., Cappelletti, P., Orefice, N. S., Brentari, I., Rigby, M. J., Lo Giudice, M., Feligioni, M., Rivabene, R., Crestini, A., Manfredi, F., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-024-04386-z · Cited by 16
Self-citationA 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
- Piscopo, P., Grasso, M., Puopolo, M., D’Acunto, E., Talarico, G., Crestini, A., Gasparini, M., Campopiano, R., Gambardella, S., Castellano, A. E., Bruno, G., Denti, M. A., & Confaloni, A.
- Affiliations
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
- Centre for Integrative Biology, University of Trento, Trento, Italy
- Department of Human Neuroscience, University of Rome “Sapienza”, Rome, Italy
- Department of Neurology, IRCCS Neuromed Institute, Pozzilli, IS, Italy
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2018-07-21
- Volume
- 65
- Issue
- 2
- Pages
- 455-464
- ISSN
- 1387-2877
- 1875-8908
- Cited by
- 58
- References
- 9
- Language
- en
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Circulating miR-127-3p as a Potential Biomarker for Differential Diagnosis in Frontotemporal Dementia. https://app.cochat.ai/papers/10.3233/jad-180364
- The paper
- Piscopo, P., Grasso, M., Puopolo, M., D’Acunto, E., Talarico, G., Crestini, A., Gasparini, M., Campopiano, R., Gambardella, S., Castellano, A. E., Bruno, G., Denti, M. A., & Confaloni, A. (2018). Circulating miR-127-3p as a Potential Biomarker for Differential Diagnosis in Frontotemporal Dementia. Journal of Alzheimer’s Disease. https://doi.org/10.3233/jad-180364
