Evidence map›Paper›PMID 40444654›Full record

ArticleBrain and behavior2025

Effects of Oxidative Stress Gene Protein, Expression, and DNA Methylation on Multiple Sclerosis: A Multi-Omics Mendelian Randomized Study.

Yang Li, Yushi Wang, Shuning Wang, Hui Zhu

Abstract read
In one paragraph

Article in Brain and behavior, 2025. 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

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2 · The registry

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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. Review
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

4 authors.

Yang LiDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China.
Yushi WangDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China.
Shuning WangDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China.
Hui ZhuDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China.ORCID https://orcid.org/0009-0006-9173-6831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOxidative stress (OS) is linked to the development of multiple sclerosis (MS), but the causal relationship in terms of genetic pathophysiology remains ambiguous. We employed Mendelian randomization (MR) and colocalization analysis to explore the relationship between OS genes and MS, utilizing an integrative multi-omics approach.

methodsWe obtained data from a genome-wide association study (GWAS) of MS from the International Multiple Sclerosis Genetics Consortium (Discovery phase) and the FinnGen study (Replication phase). Mendelian randomization analyses were conducted using summary data to evaluate the association between molecular features of OS-related genes and MS. Additional colocalization analyses were undertaken to ascertain whether the identified signal pairs shared causal genetic variants.

resultsIntegration of multi-omics data, including mQTL-eQTL and eQTL-pQTL, revealed that the STAT3 gene is associated with MS, supported by Level 1 evidence. The CR1 gene shows an association with MS risk, evidenced by Level 3 support. Methylation at cg24718015 and cg17833746 in the STAT3 gene correlates with reduced expression of STAT3. At the protein level, high circulating levels of STAT3 are inversely associated with MS risk (OR: 0.43, 95% CI, 0.33-0.54). Elevated levels of TNFRSF1A are also linked with a decreased risk of MS (OR: 0.21; 95% CI, 0.12-0.37), while higher levels of CR1 are positively associated with an increased risk of MS (OR: 1.17; 95% CI, 1.08-1.27).

conclusionThis study identifies specific OS genes that are associated with MS and enhances our understanding of its pathogenesis.

Indexed as

DNA MethylationMultiple SclerosisOxidative StressGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiomicsQuantitative Trait LociSTAT3 Transcription FactorSTAT3 protein, humanSTAT3 Transcription FactorMendelian randomizationmolecular dockingmulti‐omicsmultiple sclerosisoxidative stress

Identifiers

PMID40444654
PMCPMC12123450

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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.