Evidence map›Paper›PMID 39629734›Full record

ArticlePsychiatry and clinical psychopharmacology2024

Metabolite Associations with Childhood and Juvenile Absence Epilepsy: A Bidirectional Mendelian Randomization Study.

Jinwen Liu, Ruoyu Li, Haichun Yu, Han Yu, Qin Wang, Jie Zhong, Xian Zhang, Donghui Ling, Yi Wang, Danhui Wang and 1 more

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jinwen LiuFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Ruoyu LiFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Haichun YuDepartment of Intelligent Manufacturing Equipment Technology Guangxi Technological College of Machinery and Electricity Advanced Manufacturing Technology Institute, Nanning, China.
Han YuSchool of Basic Medicine, Department of Clinical Medicine, Harbin Medical University, Harbin, China Harbin Medical University School of Basic Medicine, Harbin, China.
Qin WangFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Jie ZhongDepartment of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.
Xian ZhangDepartment of Neurology, Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, China.
Donghui LingFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Yi WangFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Danhui WangFirst School of Clinical Medicine, Guangxi University of Chinese Medicine, Nanning, China.
Limei DiaoDepartment of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The precise involvement of metabolites in the pathogenesis of Childhood absence epilepsy (CAE) and juvenile absence epilepsy (JAE) remains elusive. Consequently, this investigation introduces bidirectional Mendelian randomization (MR) as a tool to explore causality and underlying mechanisms. Methods: Bidirectional MR analysis was conducted employing a comprehensive set comprising 1091 human blood metabolites and 309 metabolite ratios, systematically probing potential causal associations with JAE and CAE. Genome-wide association study (GWAS) data pertaining to these epileptic conditions were meticulously obtained from the International League Against Epilepsy (ILAE) consortium. Sensitivity analyses were rigorously performed to evaluate for heterogeneity and pleiotropy. Reverse MR analysis was also conducted to verify the direction of causality, and no significant reverse causal relationships were identified. Results: Following rigorous genetic variant selection, significant associations were identified based on PIVW < .05, PWM < .05, and PMR-Egger < .05 criteria in MR analysis. Only 1 metabolite, (2 or 3)-decaonate levels, exhibited an association with JAE (P = .005, OR=0.987, 95% CI=0.978-0.996). Childhood absence epilepsy was associated with 5 metabolites: X-23648 (P = .012, OR=0.982, 95% CI=0.968-0.996), X-21845 levels (P = .045, OR=1.018, 95% CI=1.001-1.035), 2'-o-methylcytidine (P = .008, OR=0.995, 95% CI=0.991-1.001), 2'-o-methyluridine (P = .007, OR=0.995, 95% CI=0.99-0.999), and spermidine-topyruvate ratio (P = .014, OR=0.973, 95% CI=0.954-0.992). No evidence of reverse causality was found between JAE and CAE and the aforementioned metabolites. Conclusion: The study establishes causal relationships between the aforementioned 6 metabolites and CAE and JAE. This integration of genomics with metabolism offers novel insights into epilepsy mechanisms and has important implications for screening and prevention.

Identifiers

PMID39629734
PMCPMC11992944

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