Evidence map›Paper›PMID 26742644›Full record

ArticleBiological research2016

Identification of novel gene and pathway targets for human epilepsy treatment.

Ying Jin, Chunzhe Zhao, Lihui Chen, Xiangyu Liu, Shuxiao Pan, Dongsheng Ju, Jing Ma, Jinying Li, Bo Wei

Open access · goldAbstract read
In one paragraph

Article in Biological research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Effects of GRM4, SCN2A and SCN3B polymorphisms on antiepileptic drugs responsiveness and epilepsy susceptibility.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2019
    Article
  8. Involvement of upregulation of miR-210 in a rat epilepsy model.Neuropsychiatric disease and treatment · 2016
    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

9 authors at 2 institutions in 1 country.

Ying JinDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. yingjiny1@163.com.
Chunzhe ZhaoDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. zhchzz1@163.com.
Lihui ChenDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. chenlIch1@163.com.
Xiangyu LiuDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. liuxxyyl@163.com.
Shuxiao PanDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. panshhhu@163.com.
Dongsheng JuDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. ju_doc@163.com.
Jing MaDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. majingdr@126.com.
Jinying LiDepartment of Neurology, Jilin Oilfield General Hospital, Songyuan, 131200, China. jinyingli2@163.com.
Bo WeiThe Second Division of Neurosurgery, Departments of Neurosurgery, The China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin Province, China. fnhfge@sina.com.
Daqing Oilfield General Hospital · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to explore epilepsy-related mechanism so as to figure out the possible targets for epilepsy treatment.

methodsThe gene expression profile dataset GES32534 was downloaded from Gene Expression Omnibus database. We identified the differentially expressed genes (DEGs) by Affy package. Then the DEGs were used to perform gene ontology (GO) and pathway enrichment analyses. Furthermore, a protein-protein interaction (PPI) network was constructed with the DEGs followed by co-expression modules construction and analysis.

resultsTotal 420 DEGs were screened out, including 214 up-regulated and 206 down-regulated genes. Functional enrichment analysis revealed that down-regulated genes were mainly involved in the process of immunity regulation and biological repairing process while up-regulated genes were closely related to transporter activity. PPI network analysis showed the top ten genes with high degrees were all down-regulated, among which FN1 had the highest degree. The up-regulated and down-regulated DEGs in the PPI network generated two obvious sub-co-expression modules, respectively. In up-co-expression module, SCN3B (sodium channel, voltage gated, type III beta subunit) was enriched in GO:0006814 ~ sodium ion transport. In down-co-expression module, C1QB (complement C1s), C1S (complement component 1, S subcomponent) and CFI (complement factor I) were enriched in GO:0006955 ~ immune response.

conclusionThe immune response and complement system play a major role in the pathogenesis of epilepsy. Additionally, C1QB, C1S, CFI, SCN3B and FN1 may be potential therapeutic targets for epilepsy.

Indexed as

TranscriptomeDatabases, GeneticDown-RegulationEpilepsyGene Expression ProfilingGene OntologyGene Regulatory NetworksGene TargetingHumansProtein Interaction MapsUp-Regulation

Identifiers

PMID26742644
PMCPMC4705636
OpenAlexW2222275505

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.