Evidence map›Paper›PMID 26382856›Full record

ArticleScientific reports2015

MicroRNA profiles in hippocampal granule cells and plasma of rats with pilocarpine-induced epilepsy--comparison with human epileptic samples.

Paolo Roncon, Marie Soukupovà, Anna Binaschi, Chiara Falcicchia, Silvia Zucchini, Manuela Ferracin, Sarah R Langley, Enrico Petretto, Michael R Johnson, Gianluca Marucci and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  13. Role and Dysregulation of miRNA in Patients with Parkinson's Disease.International journal of molecular sciences · 2022
    Article
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  18. microRNA-146a-5p, Neurotropic Viral Infection and Prion Disease (PrD).International journal of molecular sciences · 2021
    Review
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  20. Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 3 countries.

Paolo RonconDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
Marie SoukupovàDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
Anna BinaschiDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
Chiara FalcicchiaDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
Silvia ZucchiniDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
Manuela FerracinLaboratory for Technologies of Advanced Therapies (LTTA), University of Ferrara, Italy.
Sarah R LangleyDivision of Brain Sciences, Imperial College London, Charing Cross Hospital,UK.
Enrico PetrettoMedical Research Council (MRC) Clinical Sciences Centre, Imperial College London, Hammersmith Hospital, UK.
Michael R JohnsonDivision of Brain Sciences, Imperial College London, Charing Cross Hospital,UK.
Gianluca MarucciDepartment of Biomedical and NeuroMotor Sciences (DiBiNeM), Section of Pathology, Bellaria Hospital, Bologna, Italy.
Roberto MichelucciIRCCS Institute of Neurological Sciences, Section of Neurology, Bellaria Hospital, Bologna, Italy.
Guido RubboliIRCCS Institute of Neurological Sciences, Section of Neurology, Bellaria Hospital, Bologna, Italy.
Michele SimonatoDepartment of Medical Sciences, Section of Pharmacology and Neuroscience Center, University of Ferrara, Italy.
University of Ferrara · ITInstitute of Neurological Sciences · ITNeuroscience Institute · ITCharing Cross Hospital · GBHammersmith Hospital · GBImperial College London · GBOspedale Bellaria · IT

Funding

Medical Research Council MC_U120097112
6 · The paper itself

Abstract

The identification of biomarkers of the transformation of normal to epileptic tissue would help to stratify patients at risk of epilepsy following brain injury, and inform new treatment strategies. MicroRNAs (miRNAs) are an attractive option in this direction. In this study, miRNA microarrays were performed on laser-microdissected hippocampal granule cell layer (GCL) and on plasma, at different time points in the development of pilocarpine-induced epilepsy in the rat: latency, first spontaneous seizure and chronic epileptic phase. Sixty-three miRNAs were differentially expressed in the GCL when considering all time points. Three main clusters were identified that separated the control and chronic phase groups from the latency group and from the first spontaneous seizure group. MiRNAs from rats in the chronic phase were compared to those obtained from the laser-microdissected GCL of epileptic patients, identifying several miRNAs (miR-21-5p, miR-23a-5p, miR-146a-5p and miR-181c-5p) that were up-regulated in both human and rat epileptic tissue. Analysis of plasma samples revealed different levels between control and pilocarpine-treated animals for 27 miRNAs. Two main clusters were identified that segregated controls from all other groups. Those miRNAs that are altered in plasma before the first spontaneous seizure, like miR-9a-3p, may be proposed as putative biomarkers of epileptogenesis.

Indexed as

TranscriptomeAdultAnimalsBiomarkersCase-Control StudiesCluster AnalysisEpilepsyFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHippocampusHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsPilocarpine

Identifiers

PMID26382856
PMCPMC4585664
OpenAlexW1788382120

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.