Evidence map›Paper›PMID 41029193›Full record

ArticleThe journal of headache and pain2025

Dissecting immune cell-specific genetics in migraine: a multi-omics framework for target discovery and therapeutic prioritization.

Yanggang Hong, Yuze Mi, Feng Chen, Yirong Wang, Jiajun Li, Zhendi Shu

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Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanggang HongThe Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325027, China. hongyanggang@wmu.edu.cn.
Yuze MiWenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Feng ChenThe Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325027, China.
Yirong WangWenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Jiajun LiThe Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325027, China.
Zhendi ShuThe Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325027, China. zhendi.shu@wmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigraine is a highly prevalent neurological disorder with complex pathophysiology and limited treatment efficacy. Emerging evidence suggests immune cell involvement in migraine, but the specific regulatory mechanisms remain unclear. This study aimed to identify immune cell-type-specific genetic drivers of migraine and prioritize potential therapeutic targets.

methodsWe conducted a Mendelian randomization (MR) analysis integrating single-cell expression quantitative trait loci (sc-eQTL) data from 14 immune cell types with large-scale genome-wide association studies (GWAS) of migraine. Colocalization analysis, protein-protein interaction (PPI) networks, linkage disequilibrium score regression (LDSC), phenome-wide association studies (PheWAS), and drug repurposing databases were utilized to validate findings and assess therapeutic potential and safety.

resultsWe identified 25 immune cell-specific eGenes causally associated with migraine, including CDC42, NELFCD, HOXB3, HAX1, and FHL3. Several genes, such as CDC42 and HAX1, were implicated across multiple immune cell types. Subtype-specific analyses revealed differential gene effects in migraine with aura (MA) and without aura (MO). Genetic correlation and pleiotropy analyses linked eGenes to comorbid traits such as depression, gastrointestinal disorders, and blood pressure. PheWAS suggested minimal adverse associations for prioritized genes like GINM1 and TMA7. Drug repurposing identified FDA-approved agents, including hydroxychloroquine sulfate (NELFCD) and bazedoxifene (CDC42), as potential migraine therapies.

conclusionThis study reveals immune cell-specific genetic contributors to migraine and highlights druggable targets for therapeutic development. Integrating sc-eQTL with multi-omics and pharmacological data provides a novel framework for precision medicine in migraine.

Indexed as

Migraine DisordersDrug RepositioningGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiomicsProtein Interaction MapsQuantitative Trait LociDrug repurposingImmune cellsMendelian randomizationMigraineSingle-cell eQTL

Identifiers

PMID41029193
PMCPMC12487071

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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.