Causal relationship between immune cells and epilepsy mediated by metabolites analyzed through Mendelian randomization

Our study investigated the causal relationship between immune cells, metabolites, and epilepsy using two-sample Mendelian Randomization (MR) and mediation MR analysis of 731 immune cell traits and 1400 metabolites. Our core methodology centered on inverse-variance weighted MR, supplemented by other methods. This approach was crucial in clarifying the potential intermediary functions of metabolites in the genetic links between traits of immune cells and epilepsy. We found a causal relationship between immune cells and epilepsy. Specifically, the genetically predicted levels of CD64 on CD14-CD16- are positively correlated with the risk of epilepsy (p < 0.001, OR = 1.0826, 95% CI 1.0361-1.1312). Similarly, metabolites also exhibit a causal relationship with both immune cells (OR = 1.0438, 95% CI 1.0087-1.0801, p = 0.0140) and epilepsy (p = 0.0334, OR = 1.0897, 95% CI 1.0068-1.1795), and sensitivity analysis was conducted to further validate these relationships. Importantly, our intermediate MR results suggest that the metabolite Paraxanthine to linoleate (18:2n6) ratio may mediate the causal relationship between immune cell CD64 on CD14-CD16- and epilepsy, with a mediation effect of 5.05%. The results suggest the importance of specific immune cell levels and metabolites in understanding epilepsy's pathogenesis, which is significant for its prevention and treatment.

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Publication Details

Journal
Scientific Reports
Published
2024-08-23
DOI
https://doi.org/10.1038/s41598-024-70370-1
Citations
5
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.47

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article

Causal relationship between immune cells and epilepsy mediated by metabolites analyzed through Mendelian randomization

Jiangwei Chen, Haichun Yu, Hui-hua Liu, Yu Han et al.
5 citations
Scientific Reports
HIV Research and Treatment
1.47
article

Causal relationship between immune cells and epilepsy mediated by metabolites analyzed through Mendelian randomization

Jiangwei Chen, Haichun Yu, Hui-hua Liu, Yu Han, Xian Zhang, Qiong Wu, Shuang Liang, Limei Diao, Rong Zeng
article en
5 citations

Abstract

Our study investigated the causal relationship between immune cells, metabolites, and epilepsy using two-sample Mendelian Randomization (MR) and mediation MR analysis of 731 immune cell traits and 1400 metabolites. Our core methodology centered on inverse-variance weighted MR, supplemented by other methods. This approach was crucial in clarifying the potential intermediary functions of metabolites in the genetic links between traits of immune cells and epilepsy. We found a causal relationship between immune cells and epilepsy. Specifically, the genetically predicted levels of CD64 on CD14-CD16- are positively correlated with the risk of epilepsy (p < 0.001, OR = 1.0826, 95% CI 1.0361-1.1312). Similarly, metabolites also exhibit a causal relationship with both immune cells (OR = 1.0438, 95% CI 1.0087-1.0801, p = 0.0140) and epilepsy (p = 0.0334, OR = 1.0897, 95% CI 1.0068-1.1795), and sensitivity analysis was conducted to further validate these relationships. Importantly, our intermediate MR results suggest that the metabolite Paraxanthine to linoleate (18:2n6) ratio may mediate the causal relationship between immune cell CD64 on CD14-CD16- and epilepsy, with a mediation effect of 5.05%. The results suggest the importance of specific immune cell levels and metabolites in understanding epilepsy's pathogenesis, which is significant for its prevention and treatment.

Scientific ReportsVol. 14(1)
Harbin Medical University (CN), Guangxi University of Chinese Medicine (CN), Guangxi Zhuang Autonomous Region Brain Hospital (CN), Guangxi Agricultural Machinery Research Institute (CN), Xinyang Central Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
HIV Research and Treatment
1.47
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