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Related Experiment Video

Updated: Mar 18, 2026

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
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Bidirectional Mendelian Randomization Analysis of 338 Cerebrospinal-Fluid Metabolites and Cluster-Headache Risk.

Danhua Yu1, Xuewei Yang1, Jinli Zhou1

  • 1Department of Neurology, Yiwu Central Hospital, Yiwu, Zhejiang Province, People's Republic of China.

Journal of Pain Research
|March 16, 2026
PubMed
Summary

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This study used Mendelian randomization to link cerebrospinal fluid (CSF) metabolites to cluster headache (CH) risk. Certain metabolites like orotate and betaine may increase CH susceptibility, suggesting new diagnostic and therapeutic targets.

Area of Science:

  • Neuroscience
  • Metabolomics
  • Genetics

Background:

  • Cluster headache (CH) is a severe primary headache disorder with unknown metabolic causes.
  • Understanding the metabolic underpinnings of CH is crucial for developing effective treatments.

Purpose of the Study:

  • To investigate the causal relationship between cerebrospinal fluid (CSF) metabolite levels and CH risk using a bidirectional Mendelian randomization (MR) approach.
  • To explore potential reverse causality, examining CH's effect on CSF metabolites.

Main Methods:

  • A bidirectional two-sample MR analysis was conducted using GWAS data for 338 CSF metabolites and CH.
  • Genetic instruments were selected based on genome-wide association study (GWAS) data, with primary analysis using the inverse-variance weighted (IVW) method.
Keywords:
Mendelian randomizationcerebrospinal fluid metabolitescluster headacheoxidative stress

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  • Sensitivity analyses included MR-Egger, weighted median, and MR-PRESSO to ensure robustness, with Bonferroni and FDR for multiple testing correction.

    • Main Results:

    • Forward MR identified 11 CSF metabolites significantly associated with CH risk, notably orotate, betaine, and 5-oxoproline.
    • Reverse MR analysis showed nominal associations between eight metabolites, including lysine and kynurenine, and genetic liability to CH.
    • Sensitivity analyses indicated no significant directional pleiotropy or heterogeneity, supporting the primary findings.

    Conclusions:

    • This study provides the first genetic evidence linking central metabolic alterations to CH susceptibility.
    • Identified metabolites may serve as potential biomarkers or indicate relevant mechanistic pathways for CH.
    • Findings are preliminary and require replication in larger, diverse cohorts due to modest statistical power.