Evidence map›Paper›PMID 37246165›Full record

ArticleMolecular neurobiology2023

Identifying Novel Drug Targets for Epilepsy Through a Brain Transcriptome-Wide Association Study and Protein-Wide Association Study with Chemical-Gene-Interaction Analysis.

Mengnan Lu, Ruoyang Feng, Chenglin Zhang, Yanfeng Xiao, Chunyan Yin

Abstract read
In one paragraph

Article in Molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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.

Mengnan LuDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Ruoyang FengDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Chenglin ZhangDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China.
Yanfeng XiaoDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China. xiaoyanfenggroup@sina.com.
Chunyan YinDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710054, Shanxi, China. yinchunyan0624@sina.com.ORCID http://orcid.org/0000-0003-0689-1927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a severe neurological condition affecting 50-65 million individuals worldwide that can lead to brain damage. Nevertheless, the etiology of epilepsy remains poorly understood. Meta-analyses of genome-wide association studies involving 15,212 epilepsy cases and 29,677 controls of the ILAE Consortium cohort were used to conduct transcriptome-wide association studies (TWAS) and protein-wide association studies (PWAS). Furthermore, a protein-protein interaction (PPI) network was generated using the STRING database, and significant epilepsy-susceptible genes were verified using chip data. Chemical-related gene set enrichment analysis (CGSEA) was performed to determine novel drug targets for epilepsy. TWAS analysis identified 21,170 genes, of which 58 were significant (TWAS

Indexed as

EpilepsyTranscriptomeBrainCytoskeletal ProteinsGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIntracellular Signaling Peptides and ProteinsPolymorphism, Single NucleotideTrans-ActivatorsCytoskeletal ProteinsIntracellular Signaling Peptides and ProteinsTrans-ActivatorsWIPF1 protein, humanZNF143 protein, humanChemical-related gene set enrichment analysisEpilepsyHuman brain proteomeProteome-wide association studiesTranscriptome-wide association studies

Identifiers

PMID37246165
PMCPMC10415436

What Socratic 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 Socratic graph.