Evidence map›Paper›PMID 40514687›Full record

ArticleClinical epigenetics2025

A multi-omics and mediation-based genetic screening approach identifies STX4 as a key link between epigenetic regulation, immune cells, and childhood asthma.

Yuan Zhang, Xiaochen Du, Yujuan Yang, Yaqiong Ren, Lijun Zhou, Jun Hua, Hongying Wang

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

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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

7 authors.

Yuan ZhangLaboratory of Pediatric Research, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China.
Xiaochen DuDepartment of Emergency and Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, China.
Yujuan YangDepartment of Clinical Laboratory, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China.
Yaqiong RenLaboratory of Pediatric Research, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China.
Lijun ZhouLaboratory of Pediatric Research, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China.
Jun HuaLaboratory of Pediatric Research, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China. hua1970_sz@126.com.
Hongying WangLaboratory of Pediatric Research, Children's Hospital of Wujiang District, Suzhou, 215234, Jiangsu, China. why923811@sina.com.

Funding

Suzhou Science and Technology Development Guidance Project SKYD2022066The Wujiang Science education and health project WWK202122The Wujiang Science education and health project WWK202503Youth Research Project of Children's Hospital of Wujiang District 2020QN03
6 · The paper itself

Abstract

backgroundChildhood asthma presents a multifaceted immune-driven pathology shaped by genetic, epigenetic, and immune regulatory interactions. Despite extensive genome-wide analyses pinpointing multiple susceptibility loci, the precise functional contributors to asthma pathogenesis remain elusive. This study employs a comprehensive multi-omics framework and Mendelian randomization (MR) analysis to systematically identify and validate key genetic determinants implicated in childhood asthma.

methodsA genome-wide screening of over 19,000 human genes was performed to identify cis-eQTL-regulated genes associated with childhood asthma. Two-sample MR was conducted to assess causality, followed by Summary-based Mendelian Randomization (SMR) to validate findings in independent datasets. Colocalization analysis determined whether gene expression and asthma GWAS signals share a common causal variant. Protein quantitative trait loci (pQTL) analysis further validated gene associations at the protein level. DNA methylation quantitative trait loci (mQTL) MR and mediation analysis explored epigenetic regulatory mechanisms, while linkage disequilibrium score regression (LDSC) quantified genome-wide genetic correlations. Immune cell mediation analysis examined potential immune-driven effects, and Phenome-Wide Association Study (PheWAS) evaluated pleiotropy and therapeutic safety.

resultsFollowing systematic screening, STX4 emerged as a strong candidate gene for childhood asthma. MR and SMR analyses confirmed its causal role, while colocalization analysis provided robust genetic evidence supporting STX4's regulatory influence on childhood asthma susceptibility. pQTL validation confirmed that STX4's effects extend to the protein level, strengthening its biological relevance. DNA methylation analysis revealed key CpG (Cytosine-phosphate-Guanine) sites regulating STX4 expression, with higher methylation levels reducing childhood asthma risk. Immune cell mediation analysis demonstrated that STX4 influences childhood asthma risk via CD4+ and CD8+ T cell subsets. LDSC analysis reinforced a significant genetic correlation between STX4 and childhood asthma, while PheWAS detected no major pleiotropy, suggesting that STX4 is a specific and promising therapeutic target.

conclusionsThis study systematically identifies and validates STX4 as a key genetic regulator in childhood asthma by integrating large-scale genetic, epigenetic, and immune regulatory data. These findings provide strong evidence for STX4's role in childhood asthma pathogenesis, highlighting STX4 as a potential target for future precision therapies in childhood asthma.

Indexed as

AsthmaEpigenesis, GeneticChildDNA MethylationEpigenomicsFemaleGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMultiomicsPolymorphism, Single NucleotideQuantitative Trait LociChildhood asthmaColocalizationImmune regulationMendelian randomizationmQTLMulti-omicspQTLSTX4

Identifiers

PMID40514687
PMCPMC12164099

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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.