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已发表论文
338 种脑脊液代谢物与丛集性头痛风险的双向孟德尔随机化分析
Authors Yu D, Yang X, Zhou J, Chen W, Song J, Yu W, Huang S
Received 27 June 2025
Accepted for publication 26 December 2025
Published 8 January 2026 Volume 2026:19 550160
DOI https://doi.org/10.2147/JPR.S550160
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Rune Häckert Christensen
Danhua Yu,1,* Xuewei Yang,1,* Jinli Zhou,1,* Weiwei Chen,1 Jinhui Song,1 Weifei Yu,1 Shaokang Huang2
1Department of Neurology, Yiwu Central Hospital, Yiwu, Zhejiang Province, People’s Republic of China; 2Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Danhua Yu, Email Yudanhua1114@163.com
Background: Cluster headache (CH) is a rare but highly disabling primary headache disorder characterized by severe unilateral attacks and autonomic symptoms. The metabolic mechanisms underlying CH remain poorly understood.
Objective: To investigate the potential causal effects of cerebrospinal fluid (CSF) metabolite levels on CH risk, and to explore possible reverse causal effects of CH on CSF metabolites, using a bidirectional Mendelian randomization (MR) approach.
Methods: We performed a bidirectional two-sample Mendelian randomization (MR) analysis integrating genome-wide association study (GWAS) data for 338 cerebrospinal fluid (CSF) metabolites and CH (1,833 cases and 498,515 controls from FinnGen release 12). Genetic instruments were selected at P < 1× 10−5 (LD r2 < 0.01). The primary causal estimates were derived using the inverse-variance weighted (IVW) method under a random-effects model, complemented by MR-Egger, weighted median, and MR-PRESSO sensitivity tests. Multiple testing correction was performed using both Bonferroni and false discovery rate (FDR) approaches.
Results: In the forward MR analysis, 11 CSF metabolites were significantly associated with CH risk (P< 0.05). The strongest associations were observed for orotate (β = 0.53, 95% CI: 0.23– 0.82, P = 0.0006), betaine (β = 0.47, 95% CI: 0.16– 0.79, P = 0.0035), and 5-oxoproline (β = 0.57, 95% CI: 0.17– 0.97, P = 0.0053). In the reverse MR analysis, eight metabolites, including lysine (β = 0.015, P = 0.029) and kynurenine (β = 0.025, P = 0.020), were nominally associated with genetic liability to CH. Sensitivity analyses showed no evidence of directional pleiotropy or heterogeneity (all P > 0.05).
Conclusion: This bidirectional MR study provides the first genetic evidence linking central metabolic alterations to CH susceptibility. While these results highlight potential metabolic biomarkers and mechanistic pathways, the findings remain preliminary due to modest statistical power and should be replicated in larger and ethnically diverse cohorts.
Keywords: cluster headache, cerebrospinal fluid metabolites, Mendelian randomization, oxidative stress
1Department of Neurology, Yiwu Central Hospital, Yiwu, Zhejiang Province, People’s Republic of China; 2Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Danhua Yu, Email Yudanhua1114@163.com
Background: Cluster headache (CH) is a rare but highly disabling primary headache disorder characterized by severe unilateral attacks and autonomic symptoms. The metabolic mechanisms underlying CH remain poorly understood.
Objective: To investigate the potential causal effects of cerebrospinal fluid (CSF) metabolite levels on CH risk, and to explore possible reverse causal effects of CH on CSF metabolites, using a bidirectional Mendelian randomization (MR) approach.
Methods: We performed a bidirectional two-sample Mendelian randomization (MR) analysis integrating genome-wide association study (GWAS) data for 338 cerebrospinal fluid (CSF) metabolites and CH (1,833 cases and 498,515 controls from FinnGen release 12). Genetic instruments were selected at P < 1× 10−5 (LD r2 < 0.01). The primary causal estimates were derived using the inverse-variance weighted (IVW) method under a random-effects model, complemented by MR-Egger, weighted median, and MR-PRESSO sensitivity tests. Multiple testing correction was performed using both Bonferroni and false discovery rate (FDR) approaches.
Results: In the forward MR analysis, 11 CSF metabolites were significantly associated with CH risk (P< 0.05). The strongest associations were observed for orotate (β = 0.53, 95% CI: 0.23– 0.82, P = 0.0006), betaine (β = 0.47, 95% CI: 0.16– 0.79, P = 0.0035), and 5-oxoproline (β = 0.57, 95% CI: 0.17– 0.97, P = 0.0053). In the reverse MR analysis, eight metabolites, including lysine (β = 0.015, P = 0.029) and kynurenine (β = 0.025, P = 0.020), were nominally associated with genetic liability to CH. Sensitivity analyses showed no evidence of directional pleiotropy or heterogeneity (all P > 0.05).
Conclusion: This bidirectional MR study provides the first genetic evidence linking central metabolic alterations to CH susceptibility. While these results highlight potential metabolic biomarkers and mechanistic pathways, the findings remain preliminary due to modest statistical power and should be replicated in larger and ethnically diverse cohorts.
Keywords: cluster headache, cerebrospinal fluid metabolites, Mendelian randomization, oxidative stress