Evidence map›Paper›PMID 28912503›Full record

SynthesisScientific reports2017

Systematic review and meta-analysis of differentially expressed miRNAs in experimental and human temporal lobe epilepsy.

A Korotkov, J D Mills, J A Gorter, E A van Vliet, E Aronica

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. MicroRNA-335-5p suppresses voltage-gated sodium channel expression and may be a target for seizure control.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

5 authors at 3 institutions in 1 country.

A KorotkovDepartment of (Neuro)Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
J D MillsDepartment of (Neuro)Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. j.d.mills@amc.uva.nl.
J A GorterCenter for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
E A van VlietDepartment of (Neuro)Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
E AronicaDepartment of (Neuro)Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Academic Medical Center · NLUniversity of Amsterdam · NLStichting Epilepsie Instellingen Nederland · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal lobe epilepsy (TLE) is a common chronic neurological disease in humans. A number of studies have demonstrated differential expression of miRNAs in the hippocampus of humans with TLE and in animal models of experimental epilepsy. However, the dissimilarities in experimental design have led to largely discordant results across these studies. Thus, a comprehensive comparison is required in order to better characterize miRNA profiles obtained in various post-status epilepticus (SE) models. We therefore created a database and performed a meta-analysis of differentially expressed miRNAs across 3 post-SE models of epileptogenesis (electrical stimulation, pilocarpine and kainic acid) and human TLE with hippocampal sclerosis (TLE-HS). The database includes data from 11 animal post-SE studies and 3 human TLE-HS studies. A total of 378 differentially expressed miRNAs were collected (274 up-regulated and 198 down-regulated) and analyzed with respect to the post-SE model, time point and animal species. We applied the novel robust rank aggregation method to identify consistently differentially expressed miRNAs across the profiles. It highlighted common and unique miRNAs at different stages of epileptogenesis. The pathway analysis revealed involvement of these miRNAs in key pathogenic pathways underlying epileptogenesis, including inflammation, gliosis and deregulation of the extracellular matrix.

Indexed as

Gene Expression RegulationGenetic Association StudiesAnimalsBiomarkersComputational BiologyDisease Models, AnimalEpilepsy, Temporal LobeGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMicroRNAsOligonucleotide Array Sequence AnalysisSignal TransductionSpecies SpecificityBiomarkersMicroRNAs

Identifiers

PMID28912503
PMCPMC5599629
OpenAlexW2754579297

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.