The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Discovery and validation of blood micro RNA s as molecular biomarkers of epilepsy: Ways to close current knowledge gaps
Abstract
Summary: There is a major unmet need for biomarkers of epilepsy. Biofluids such as blood offer a potential source of molecular biomarkers. Micro RNA s (miRNAs) fulfill several key requirements for a blood‐based molecular biomarker being enriched in the brain and dysregulated in epileptic brain tissue, and manipulation of mi RNA s can have seizure‐suppressive and disease‐modifying effects in preclinical models. Biofluid mi RNA s also possess qualities that are favorable for translation, including stability and easy and cheap assay techniques. Herein we review findings from both clinical and animal models. Studies have featured a mix of unbiased profiling and hypothesis‐driven efforts. Blood levels of several brain‐enriched mi RNA s are altered in patients with epilepsy and in patients with drug‐resistant compared to drug‐responsive seizures, with encouraging receiver‐operating characteristic (ROC) curve analyses, both in terms of sensitivity and specificity. Both focal and generalized epilepsies are associated with altered blood mi RNA profiles, and associations with clinical parameters including seizure burden have been reported. Results remain preliminary, however. There is a need for continued discovery and validation efforts that include multicenter studies and attention to study design, sample collection methodology, and quality control. Studies focused on epileptogenesis as well as associations with covariables such as sex, etiology, and timing of sampling remain limited. We identify 10 knowledge gaps and propose experiments to close these. If adequately addressed, biofluid mi RNA s may be an important future source of diagnostic biomarkers that could also support forthcoming trials of antiepileptogenesis or disease‐modifying therapies.
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 cited source says what the claim attributes to it.
In the citing paper
“To be practical, however, such molecules must be stable, simple and cheap to measure, ideally in a point-of-care setting, and be mechanistically linked to the pathophysiology (Enright et al., 2018).”
From Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy (2023) · cites this paper as Enright et al., 2018
In the citing paper
“Several of the same miRNAs are differentially expressed in baseline or post-seizure blood samples from patients with drug-resistant epilepsy (Enright et al., 2018; Brennan et al., 2020; Leontariti et al., 2020; Martins-Ferreira et al., 2020), including in AGO-bound fractions (Raoof et al., 2018).”
From Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy (2023) · cites this paper as Enright et al., 2018
In the citing paper
“Circulating miRNA levels are also altered in epilepsy (Enright et al., 2018).”
From Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy (2023) · cites this paper as Enright et al., 2018
In the citing paper
“Clinical studies have identified circulating miRNA biomarkers of epilepsy in CSF (Raoof et al., 2017) and blood (serum and plasma) (Wang et al., 2015; Enright et al., 2018; Raoof et al., 2018; Brennan et al., 2020; Ioriatti et al., 2020).”
From Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy (2023) · cites this paper as Enright et al., 2018
In the citing paper
“multiple studies have reported elevated levels of brain-enriched or inflammation-associated miRNAs in biofluids such as plasma in experimental and human epilepsy (Enright et al., 2018).”
From Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy (2023) · cites this paper as Enright et al., 2018
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
Secretory Mechanisms and Intercellular Transfer of MicroRNAs in Living Cells
Kosaka, N., Iguchi, H., Yoshioka, Y., Takeshita, F., Matsuki, Y., & Ochiya, T. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.107821 · Cited by 1,934
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
MicroRNA control of protein expression noise
Schmiedel, J. M., Klemm, S. L., Zheng, Y., Sahay, A., Blüthgen, N., Marks, D. S., & van Oudenaarden, A. (2015) · Science · doi:10.1126/science.aaa1738 · Cited by 395
Cell-Type-Based Analysis of MicroRNA Profiles in the Mouse Brain
He, M., Liu, Y., Wang, X., Zhang, M. Q., Hannon, G. J., & Huang, Z. J. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.010 · Cited by 277
Jovičić, A., Roshan, R., Moisoi, N., Pradervand, S., Moser, R., Pillai, B., & Luthi-Carter, R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0600-12.2013 · Cited by 251
Flagged first, then by citations
Research works printed but not linked: 78
- 10.1038/nrdp.2018.24 · DOI
- 10.1016/S1474-4422(14)70076-6 · DOI
- 10.1111/epi.13201 · DOI
- 10.1111/epi.12299 · DOI · Paper page
- 10.1111/j.1528-1167.2006.00653.x · DOI
- 10.1111/j.1468-1331.2008.02260.x · DOI
- 10.1016/j.nbd.2018.05.007 · DOI
- FDA‐Biomarker Working Group, 2016, BEST (Biomarkers, EndpointS, and other Tools) resource
- 10.2217/bmm.13.142 · DOI
- 10.1038/cr.2008.282 · DOI · Paper page
- 10.1073/pnas.0804549105 · DOI · Paper page
- 10.1016/j.cell.2018.03.006 · DOI · Paper page
- 10.1136/jcp.2008.058339 · DOI
- 10.1373/clinchem.2010.147405 · DOI · Paper page
- 10.1038/ncb1596 · DOI · Paper page
- 10.1038/jcbfm.2009.186 · DOI
- 10.1038/srep10201 · DOI
- 10.1038/srep09522 · DOI · Paper page
- 10.1146/annurev-genet-120213-092023 · DOI
- 10.1038/nrm1644 · DOI · Paper page
- 10.1038/nrg3462 · DOI
- 10.1016/j.cell.2015.06.032 · DOI
- 10.1038/nrg2843 · DOI · Paper page
- 10.1073/pnas.0511045103 · DOI · Paper page
- 10.1101/gr.082701.108 · DOI · Paper page
- 10.3389/fnmol.2013.00039 · DOI · Paper page
- 10.1016/S0960-9822(02)00809-6 · DOI · Paper page
- 10.1186/gb-2004-5-9-r68 · DOI · Paper page
- 10.1186/1471-2164-11-409 · DOI · Paper page
- 10.1093/hmg/ddq311 · DOI
- 10.1093/cercor/bhu332 · DOI
- 10.1523/JNEUROSCI.5085-10.2011 · DOI · Paper page
- 10.1038/nn.2897 · DOI
- 10.1126/science.1244193 · DOI · Paper page
- 10.1038/s41598-017-02969-6 · DOI · Paper page
- 10.1371/journal.pone.0030679 · DOI · Paper page
- 10.3389/fnins.2017.00142 · DOI
- 10.1007/978-1-4939-6728-5_10 · DOI
- 10.1016/S1474-4422(16)30246-0 · DOI
- 10.1523/ENEURO.0152-17.2017 · DOI
- 10.1016/j.nbd.2013.10.026 · DOI · Paper page
- 10.5698/1535-7511-17.1.43 · DOI
- 10.1038/nm.2834 · DOI
- Reschke CR, 2017, Potent anti‐seizure effects of locked nucleic acid antagomirs targeting miR‐134 in multiple mouse and rat models of epilepsy, Mol Ther, 6, 45
- 10.1016/j.nbd.2016.12.007 · DOI · Paper page
- 10.1016/j.celrep.2016.02.042 · DOI
- 10.1007/s00018-018-2911-z · DOI
- 10.1073/pnas.1019055108 · DOI · Paper page
- 10.1373/clinchem.2010.157198 · DOI
- 10.1371/journal.pone.0105521 · DOI
- 10.1002/epi4.12023 · DOI
- 10.1111/epi.13915 · DOI
- 10.1038/nrg3198 · DOI · Paper page
- 10.1016/j.ab.2009.01.011 · DOI
- 10.1039/C5RA16352H · DOI
- 10.1038/s41598-017-01947-2 · DOI
- 10.1016/j.neulet.2010.11.040 · DOI
- 10.1038/srep14143 · DOI · Paper page
- 10.1007/s11064-015-1773-0 · DOI
- 10.1016/j.eplepsyres.2016.09.019 · DOI
- 10.1016/j.bbrc.2016.11.029 · DOI
- 10.1016/j.eplepsyres.2016.09.016 · DOI · Paper page
- 10.3892/mmr.2016.5906 · DOI
- 10.1038/srep32091 · DOI
- 10.1186/s13023-016-0512-1 · DOI
- 10.18632/oncotarget.20292 · DOI
- 10.1371/journal.pone.0173060 · DOI
- Yan S, 2017, Altered microRNA profiles in plasma exosomes from mesial temporal lobe epilepsy with hippocampal sclerosis, Oncotarget, 8, 4136, 10.18632/oncotarget.13744 · DOI
- 10.1089/gtmb.2016.0096 · DOI
- 10.18632/oncotarget.24012 · DOI
- 10.4061/2011/437301 · DOI · Paper page
- 10.1371/journal.pone.0145316 · DOI
- 10.15252/embj.201695748 · DOI · Paper page
- 10.1073/pnas.1408301111 · DOI
- 10.1016/S1474-4422(10)70310-0 · DOI
- 10.1111/epi.13965 · DOI
- 10.1016/j.ejpn.2011.03.010 · DOI
- 10.1111/epi.13906 · DOI
Cited by
Sorted by citations
Epigenetic genes and epilepsy — emerging mechanisms and clinical applications
Van Loo, K. M. J., Carvill, G. L., Becker, A. J., Conboy, K., Goldman, A. M., Kobow, K., Lopes-Cendes, I., Reid, C. A., van Vliet, E. A., & Henshall, D. C. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00693-y · Cited by 68
Self-citationLee, W. S., Baldassari, S., Stephenson, S. E. M., Lockhart, P. J., Baulac, S., & Leventer, R. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031344 · Cited by 45
Brain cell-specific origin of circulating microRNA biomarkers in experimental temporal lobe epilepsy
Brindley, E., Heiland, M., Mooney, C., Diviney, M., Mamad, O., Hill, T. D. M., Yan, Y., Venø, M. T., Reschke, C. R., Batool, A., et al. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1230942 · Cited by 21
Self-citation
Metadata
- Authors
- Enright, N., Simonato, M., & Henshall, D. C.
- Affiliations
- Department of Physiology & Medical Physics Royal College of Surgeons in Ireland (RCSI) Dublin Ireland
- Department of Medical Sciences University of Ferrara Ferrara Italy
- Venue
- Epilepsia Open
- Publisher
- Wiley
- Published
- 2018-10-30
- Volume
- 3
- Issue
- 4
- Pages
- 427-436
- ISSN
- 2470-9239
- PMC
- PMC6276772
- Cited by
- 48
- References
- 5
- Language
- en
- Funders
- Seventh Framework Programme (602102, 602130)
- Medical Research Charities Group (2016‐9)
- Science Foundation Ireland (16/RC/3948, SFI/13/IA/1891, SFI/14/ADV/RC2721, 12/COEN/18, 12/RC/2272)
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