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Assessing the causal association between human blood metabolites and the risk of epilepsy
BACKGROUND: Metabolic disturbance has been reported in patients with epilepsy. Still, the evidence about the causal role of metabolites in facilitating or preventing epilepsy is lacking. Systematically investigating the causality between blood metabolites and epilepsy would help provide novel target...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524049/ https://www.ncbi.nlm.nih.gov/pubmed/36180952 http://dx.doi.org/10.1186/s12967-022-03648-5 |
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author | Cai, Jiahao Li, Xiaoyu Wu, Shangbin Tian, Yang Zhang, Yani Wei, Zixin Jin, Zixiang Li, Xiaojing Chen, Xiong Chen, Wen-Xiong |
author_facet | Cai, Jiahao Li, Xiaoyu Wu, Shangbin Tian, Yang Zhang, Yani Wei, Zixin Jin, Zixiang Li, Xiaojing Chen, Xiong Chen, Wen-Xiong |
author_sort | Cai, Jiahao |
collection | PubMed |
description | BACKGROUND: Metabolic disturbance has been reported in patients with epilepsy. Still, the evidence about the causal role of metabolites in facilitating or preventing epilepsy is lacking. Systematically investigating the causality between blood metabolites and epilepsy would help provide novel targets for epilepsy screening and prevention. METHODS: We conducted two-sample Mendelian randomization (MR) analysis. Data for 486 human blood metabolites came from a genome-wide association study (GWAS) comprising 7824 participants. GWAS data for epilepsy were obtained from the International League Against Epilepsy (ILAE) consortium for primary analysis and the FinnGen consortium for replication and meta-analysis. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. RESULTS: 482 out of 486 metabolites were included for MR analysis following rigorous genetic variants selection. After IVW and sensitivity analysis filtration, six metabolites with causal effects on epilepsy were identified from the ILAE consortium. Only four metabolites remained significant associations with epilepsy when combined with the FinnGen consortium [uridine: odds ratio (OR) = 2.34, 95% confidence interval (CI) = 1.48–3.71, P = 0.0003; 2-hydroxystearate: OR = 1.61, 95% CI = 1.19–2.18, P = 0.002; decanoylcarnitine: OR = 0.82, 95% CI = 0.72–0.94, P = 0.004; myo-inositol: OR = 0.77, 95% CI = 0.62–0.96, P = 0.02]. CONCLUSION: The evidence that the four metabolites mentioned above are associated with epilepsy in a causal way provides a novel insight into the underlying mechanisms of epilepsy by integrating genomics with metabolism, and has an implication for epilepsy screening and prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03648-5. |
format | Online Article Text |
id | pubmed-9524049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95240492022-10-01 Assessing the causal association between human blood metabolites and the risk of epilepsy Cai, Jiahao Li, Xiaoyu Wu, Shangbin Tian, Yang Zhang, Yani Wei, Zixin Jin, Zixiang Li, Xiaojing Chen, Xiong Chen, Wen-Xiong J Transl Med Research BACKGROUND: Metabolic disturbance has been reported in patients with epilepsy. Still, the evidence about the causal role of metabolites in facilitating or preventing epilepsy is lacking. Systematically investigating the causality between blood metabolites and epilepsy would help provide novel targets for epilepsy screening and prevention. METHODS: We conducted two-sample Mendelian randomization (MR) analysis. Data for 486 human blood metabolites came from a genome-wide association study (GWAS) comprising 7824 participants. GWAS data for epilepsy were obtained from the International League Against Epilepsy (ILAE) consortium for primary analysis and the FinnGen consortium for replication and meta-analysis. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. RESULTS: 482 out of 486 metabolites were included for MR analysis following rigorous genetic variants selection. After IVW and sensitivity analysis filtration, six metabolites with causal effects on epilepsy were identified from the ILAE consortium. Only four metabolites remained significant associations with epilepsy when combined with the FinnGen consortium [uridine: odds ratio (OR) = 2.34, 95% confidence interval (CI) = 1.48–3.71, P = 0.0003; 2-hydroxystearate: OR = 1.61, 95% CI = 1.19–2.18, P = 0.002; decanoylcarnitine: OR = 0.82, 95% CI = 0.72–0.94, P = 0.004; myo-inositol: OR = 0.77, 95% CI = 0.62–0.96, P = 0.02]. CONCLUSION: The evidence that the four metabolites mentioned above are associated with epilepsy in a causal way provides a novel insight into the underlying mechanisms of epilepsy by integrating genomics with metabolism, and has an implication for epilepsy screening and prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03648-5. BioMed Central 2022-09-30 /pmc/articles/PMC9524049/ /pubmed/36180952 http://dx.doi.org/10.1186/s12967-022-03648-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cai, Jiahao Li, Xiaoyu Wu, Shangbin Tian, Yang Zhang, Yani Wei, Zixin Jin, Zixiang Li, Xiaojing Chen, Xiong Chen, Wen-Xiong Assessing the causal association between human blood metabolites and the risk of epilepsy |
title | Assessing the causal association between human blood metabolites and the risk of epilepsy |
title_full | Assessing the causal association between human blood metabolites and the risk of epilepsy |
title_fullStr | Assessing the causal association between human blood metabolites and the risk of epilepsy |
title_full_unstemmed | Assessing the causal association between human blood metabolites and the risk of epilepsy |
title_short | Assessing the causal association between human blood metabolites and the risk of epilepsy |
title_sort | assessing the causal association between human blood metabolites and the risk of epilepsy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524049/ https://www.ncbi.nlm.nih.gov/pubmed/36180952 http://dx.doi.org/10.1186/s12967-022-03648-5 |
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