Evidence map›Paper›PMID 37477849›Full record

ReviewIrish journal of medical science2024

Identification of common core ion channel genes in epilepsy and Alzheimer's disease.

Ting Tang, Xiang Li, Erhan Yu, Man Li, Xiaodong Pan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Irish journal of medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. mTORC2-NaChannels (Austin, Tex.) · 2026
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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 at 1 institution in 1 country.

Ting TangDepartment of Neurology, The Second Affiliated Hospital of Fujian Medical University, 34 Zhongshan North Road, Quanzhou, Fujian, 362000, People's Republic of China.
Xiang LiDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China.
Erhan YuDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China.
Man LiDepartment of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China.
Xiaodong PanDepartment of Neurology, Center for Cognitive Neurology, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China. pxd77316@163.com.ORCID http://orcid.org/0000-0001-9511-6986
Fujian Medical University · CN

Funding

Fujian Provincial Finance Special project No.2021XH009the Natural Science Foundation (Key Project) of Fujian Province, China No. 2020J02022the Nursery Fund Project of the Second Affiliated Hospital of Fujian Medical University No. 2021MP24
6 · The paper itself

Abstract

backgroundAlthough available literature indicates that the incidence of dementia in the epilepsy population and the risk of seizures in the Alzheimer's disease (AD) population are high, the specific genetic risk factors and the interaction mechanism are unclear, rendering rational genetic interpretation rather challenging.

aimsOur work aims to identify the common core ion channel genes in epilepsy and AD.

methodsIn this study, we first integrated gene expression omnibus datasets (GSE48350 and GSE6834) on AD and epilepsy to identify differentially expressed genes (DEGs), performing Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs. The related protein-protein interaction (PPI) network was constructed for DEGs, and the hub gene was evaluated.

resultsA total of 2800 and 35 genes were identified in GSE48350 and GSE6834, and 12 DEGs were significantly differentially expressed between the datasets. KEGG pathway analysis showed that DEGs were primarily enriched in glutamatergic synapse and dopaminergic synapse pathways. SCN2A, GRIA1, and KCNJ9 were the hub genes with high connectivity.

conclusionsThe findings suggest that the three genes, SCN2A, GRIA1, and KCNJ9, may serve as potential targets for treating AD comorbid with epilepsy.

Indexed as

Alzheimer DiseaseEpilepsyComputational BiologyGene Expression ProfilingHumansIon ChannelsProtein Interaction MapsIon ChannelsAlzheimer’s diseaseBioinformatic analysisEpilepsyIon channel genes

Identifiers

PMID37477849
OpenAlexW4384924684

What Socratic holds

Textmetadata
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 Socratic graph.