Evidence map›Paper›PMID 39179617›Full record

ArticleScientific reports2024

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

Jiangwei Chen, Haichun Yu, Huihua Liu, Han Yu, Shuang Liang, Qiong Wu, Xian Zhang, Rong Zeng, Limei Diao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiangwei ChenGuangxi University of Chinese Medicine, Nanning, 530200, China.
Haichun YuGuangxi Technological College of Machinery and Electricity, Nanning, 530007, China.
Huihua LiuGuangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China.
Han YuHarbin Medical University, Harbin, 150086, China.
Shuang LiangNanning Traditional Chinese Medicine Hospital, Nanning, 530000, China.
Qiong WuXin Yang Central Hospital, Xinyang, 464000, China.
Xian ZhangDepartment of Neurology, Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China.
Rong ZengGuangxi University of Chinese Medicine, Nanning, 530200, China.
Limei DiaoDepartment of Neurology, Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China. Diaolimei0810@163.com.

Funding

China National Natural Sciences Foundation Grant No. 82360875Guangxi Science and Technology Base and talent Project Grant No. 2021AC18028
6 · The paper itself

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.

Indexed as

EpilepsyMendelian Randomization AnalysisGenetic Predisposition to DiseaseGPI-Linked ProteinsHumansLipopolysaccharide ReceptorsPolymorphism, Single NucleotideReceptors, IgGCD14 protein, humanFCGR3B protein, humanGPI-Linked ProteinsLipopolysaccharide ReceptorsReceptors, IgGEpilepsyImmune cellsMendelian randomizationMetabolites

Identifiers

PMID39179617
PMCPMC11343848

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