Evidence map›Paper›PMID 39722126›Full record

ArticleCNS neuroscience & therapeutics2024

Identification of Brain Cell Type-Specific Therapeutic Targets for Glioma From Genetics.

Jiawei Gui, Jiali Chen, Keqi Wan, Ying Liu, Kai Huang, Xingen Zhu

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jiawei GuiThe 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.ORCID 0009-0006-2007-2425
Jiali ChenThe 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Keqi WanThe First Clinical Medical College, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Ying LiuThe First Clinical Medical College, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Kai HuangThe 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Xingen ZhuThe 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Funding

Jiangxi Province Department of Education Science and Technology Research Project, China GJJ210177Jiangxi Training Program for Academic and Technical Leaders of Major Disciplines-Young Talents Program 20212BCJ23023Key Project of Science and Technology Innovation of Health Commission 2023ZD003Key Research and Development Projects in Jiangxi 20212BBG73021National Natural Science Foundation of China 82172989National Natural Science Foundation of China 82260524National Natural Science Foundation of China 82273068Natural Science Foundation of Jiangxi Province 20232BAB206101Project Fund of Jiangxi Provincial Health Commission 20204343Project Fund of Jiangxi Provincial Health Commission 202130873Project Fund of Jiangxi Provincial Health Commission 202210044
6 · The paper itself

Abstract

backgroundPrevious research has demonstrated correlations between the complex types and functions of brain cells and the etiology of glioma. However, the causal relationship between gene expression regulation in specific brain cell types and glioma risk, along with its therapeutic implications, remains underexplored.

methodsUtilizing brain cell type-specific cis-expression quantitative trait loci (cis-eQTLs) and glioma genome-wide association study (GWAS) datasets in conjunction with Mendelian randomization (MR) and colocalization analyses, we conducted a systematic investigation to determine whether an association exists between the gene expression of specific brain cell types and the susceptibility to glioma, including its subtypes. Additionally, the potential pathogenicity was explored utilizing mediation and bioinformatics analyses. This exploration ultimately led to the identification of a series of brain cell-specific therapeutic targets.

resultsA total of 110 statistically significant and robust associations were identified through MR analysis, with most genes exhibiting causal effects exclusively in specific brain cell types or glioma subtypes. Bayesian colocalization analysis validated 36 associations involving 26 genes as potential brain cell-specific therapeutic targets. Mediation analysis revealed genes indirectly influencing glioma risk via telomere length. Bioinformatics analysis highlighted the involvement of these genes in glioma pathogenesis pathways and supported their enrichment in specific brain cell types.

conclusionsThis study, employing an integrated approach, demonstrated the genetic susceptibility between brain cell-specific gene expression and the risk of glioma and its subtypes. Its findings offer novel insights into glioma etiology and underscore potential therapeutic targets specific to brain cell types.

Indexed as

Brain NeoplasmsGenome-Wide Association StudyGliomaQuantitative Trait LociBrainComputational BiologyGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideBayesian colocalizationbrain cellsgliomaMendelian randomizationtherapeutic target

Identifiers

PMID39722126
PMCPMC11669572

What Socratic 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 Socratic graph.