Evidence mapPaperPMID 41896191Full record

ArticleJournal of cellular and molecular medicine2026

Mitochondria-Related Pathogenic Genes in Paediatric Asthma: A Multi-Omics Mendelian Randomization Study.

Biyu Zhang, Yaqin Li, Bo Ding, Xiaoyan Li, Yanming Lu

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Article in Journal of cellular and molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Biyu ZhangDepartment of Paediatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaqin LiDepartment of Paediatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bo DingDepartment of Paediatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoyan LiDepartment of Paediatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanming LuDepartment of Paediatrics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0003-4532-8800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial dysfunction is implicated in asthma pathogenesis, but causal roles of mitochondrial-related genes in paediatric asthma remain unclear. We performed a multi-omics Mendelian randomization study integrating GWAS data from paediatric asthma cohorts with blood-based methylation quantitative trait loci (mQTLs), expression QTLs (eQTLs) and protein QTLs (pQTLs) datasets. Causal inference was assessed using Summary-data-based Mendelian Randomization (SMR) and HEIDI testing, complemented by colocalization analysis. Findings were validated in independent cohorts and evaluated for tissue specificity using GTEx. Functional enrichment and protein-protein interaction (PPI) network analyses were conducted. SMR analysis identified 80 methylation sites spanning 54 genes, 26 gene expressions, and three proteins significantly associated with paediatric asthma. Colocalization analysis confirmed strong evidence for 10 methylation sites (7 genes), the STX17 eQTL (PP.H4 = 0.98) and the UNG pQTL (PP.H4 = 0.84). Tissue-specific eQTL validation replicated the STX17 association. Multi-omics integration associated ALAS1 (cg13241645, cg15698299) and TXNRD1 (cg09884423) with asthma at both methylation and expression levels, with colocalization supporting both ALAS1 associations. Furthermore, integrated mQTL-eQTL analysis suggests that DNA methylation potentially regulates ALAS1 and TXNRD1 expression. Functional enrichment and network analyses revealed that these candidate genes converge on mitochondrial metabolic pathways and identified seven hub genes with potential regulatory significance (SDHB, MFN2, GLDC, PHB2, TXNRD1, ATP5MC1 and PHB). This study provides multi-omics evidence supporting a causal role for mitochondrial-related genes, particularly ALAS1 and TXNRD1, in paediatric asthma, offering new insights into pathogenesis and potential therapeutic targets.

Indexed as

AsthmaGenetic Predisposition to DiseaseMendelian Randomization AnalysisMitochondriaChildDNA MethylationGenome-Wide Association StudyHumansMultiomicsPolymorphism, Single NucleotideProhibitinsProtein Interaction MapsQuantitative Trait LociPHB protein, humanProhibitinscolocalization analysisMendelian randomizationmitochondrial genesmulti‐omicspaediatric asthma

Identifiers

PMID41896191
PMCPMC13140575

What Socratic holds

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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.