Evidence map›Paper›PMID 26011637›Full record

ArticlePloS one2015

Community structure analysis of transcriptional networks reveals distinct molecular pathways for early- and late-onset temporal lobe epilepsy with childhood febrile seizures.

Carlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Priscila Iamashita, Filipi Nascimento Silva, Luciano da Fontoura Costa, Alexandre Valotta Silva, Luiz Henrique Martins Castro, Hung-Tzu Wen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Molecular typing of familial temporal lobe epilepsy.World journal of psychiatry · 2022
    Review
  5. Article
  6. Modularity in Biological Networks.Frontiers in genetics · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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 3 institutions in 1 country.

Carlos Alberto Moreira-FilhoDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Silvia Yumi BandoDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Fernanda Bernardi BertonhaDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Priscila IamashitaDepartment of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Filipi Nascimento SilvaInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil.
Luciano da Fontoura CostaInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil.
Alexandre Valotta SilvaGraduate Program on Experimental Pathophysiology, FMUSP, São Paulo, SP, Brazil.
Luiz Henrique Martins CastroDepartment of Neurology, FMUSP, São Paulo, SP, Brazil; Clinical Neurology Division, Hospital das Clínicas, FMUSP, São Paulo, SP, Brazil.
Hung-Tzu WenEpilepsy Surgery Group, Hospital das Clínicas, FMUSP, São Paulo, SP, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade de São Paulo · BRCentro Universitário das Faculdades Metropolitanas Unidas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age at epilepsy onset has a broad impact on brain plasticity and epilepsy pathomechanisms. Prolonged febrile seizures in early childhood (FS) constitute an initial precipitating insult (IPI) commonly associated with mesial temporal lobe epilepsy (MTLE). FS-MTLE patients may have early disease onset, i.e. just after the IPI, in early childhood, or late-onset, ranging from mid-adolescence to early adult life. The mechanisms governing early (E) or late (L) disease onset are largely unknown. In order to unveil the molecular pathways underlying E and L subtypes of FS-MTLE we investigated global gene expression in hippocampal CA3 explants of FS-MTLE patients submitted to hippocampectomy. Gene coexpression networks (GCNs) were obtained for the E and L patient groups. A network-based approach for GCN analysis was employed allowing: i) the visualization and analysis of differentially expressed (DE) and complete (CO) - all valid GO annotated transcripts - GCNs for the E and L groups; ii) the study of interactions between all the system's constituents based on community detection and coarse-grained community structure methods. We found that the E-DE communities with strongest connection weights harbor highly connected genes mainly related to neural excitability and febrile seizures, whereas in L-DE communities these genes are not only involved in network excitability but also playing roles in other epilepsy-related processes. Inversely, in E-CO the strongly connected communities are related to compensatory pathways (seizure inhibition, neuronal survival and responses to stress conditions) while in L-CO these communities harbor several genes related to pro-epileptic effects, seizure-related mechanisms and vulnerability to epilepsy. These results fit the concept, based on fMRI and behavioral studies, that early onset epilepsies, although impacting more severely the hippocampus, are associated to compensatory mechanisms, while in late MTLE development the brain is less able to generate adaptive mechanisms, what has implications for epilepsy management and drug discovery.

Indexed as

Gene Regulatory NetworksAdolescentAdultAge of OnsetCA3 Region, HippocampalEpilepsy, Temporal LobeFemaleGene Expression ProfilingGene Expression RegulationHumansMagnetic Resonance ImagingMaleMiddle AgedSeizures, FebrileYoung Adult

Identifiers

PMID26011637
PMCPMC4444281
OpenAlexW1687913548

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LicenceCC BY
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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.