Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis
Epilepsy is a neurological disorder characterized by recurrent, unprovoked seizures. Currently, the associations among skin microbiota, circulating metabolites, and epilepsy are still not well studied. In this study, we applied univariate and two-step Mendelian randomization analysis using single nu...
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2024-12-01
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| author | Yongheng Wang Tianyi Liu Shangying Wu Jiawei Sun Mingdao Mu Zhiyuan Yang |
| author_facet | Yongheng Wang Tianyi Liu Shangying Wu Jiawei Sun Mingdao Mu Zhiyuan Yang |
| author_sort | Yongheng Wang |
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| description | Epilepsy is a neurological disorder characterized by recurrent, unprovoked seizures. Currently, the associations among skin microbiota, circulating metabolites, and epilepsy are still not well studied. In this study, we applied univariate and two-step Mendelian randomization analysis using single nucleotide polymorphisms as instrumental variables to analyze the possible associations. Five skin microbiota (asv022, asv008, bacillales, clostridiale, and micrococcaceae) and four circulating metabolites were found to be associated with epilepsy. Our results also showed that leucine level (<i>p</i>-value = 0.0487, OR = 1.067) and glutamine level (<i>p</i>-value = 0.0372, OR = 1.065) show a slight increased association with epilepsy, while phospholipids in medium LDL (<i>p</i>-value = 0.0302, OR = 0.9308) and ratio of saturated fatty acids (<i>p</i>-value = 0.0309, OR = 0.9017) appear to show a slight inverse correlation with epilepsy. In addition, the heterogeneity test and horizontal pleiotropy analysis indicated these results are robust in different situations. By mapping analysis, 54 genes were associated with at least two metabolites. By functional analysis, these genes were enriched in the immune-related pathways, which may have systemic effects on brain function. Our results provide a novel insight for understanding possible mechanisms of some epilepsy associations, which by further study might provide avenues for therapy research. |
| format | Article |
| id | doaj-art-c6fdce54b0564664b6754d961e3d6be2 |
| institution | Kabale University |
| issn | 1467-3037 1467-3045 |
| language | English |
| publishDate | 2024-12-01 |
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| spelling | doaj-art-c6fdce54b0564664b6754d961e3d6be22024-12-27T14:18:15ZengMDPI AGCurrent Issues in Molecular Biology1467-30371467-30452024-12-014612139371395010.3390/cimb46120833Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization AnalysisYongheng Wang0Tianyi Liu1Shangying Wu2Jiawei Sun3Mingdao Mu4Zhiyuan Yang5School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, ChinaSchool of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Medicine, Southeast University, Nanjing 210009, ChinaSchool of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou 310018, ChinaEpilepsy is a neurological disorder characterized by recurrent, unprovoked seizures. Currently, the associations among skin microbiota, circulating metabolites, and epilepsy are still not well studied. In this study, we applied univariate and two-step Mendelian randomization analysis using single nucleotide polymorphisms as instrumental variables to analyze the possible associations. Five skin microbiota (asv022, asv008, bacillales, clostridiale, and micrococcaceae) and four circulating metabolites were found to be associated with epilepsy. Our results also showed that leucine level (<i>p</i>-value = 0.0487, OR = 1.067) and glutamine level (<i>p</i>-value = 0.0372, OR = 1.065) show a slight increased association with epilepsy, while phospholipids in medium LDL (<i>p</i>-value = 0.0302, OR = 0.9308) and ratio of saturated fatty acids (<i>p</i>-value = 0.0309, OR = 0.9017) appear to show a slight inverse correlation with epilepsy. In addition, the heterogeneity test and horizontal pleiotropy analysis indicated these results are robust in different situations. By mapping analysis, 54 genes were associated with at least two metabolites. By functional analysis, these genes were enriched in the immune-related pathways, which may have systemic effects on brain function. Our results provide a novel insight for understanding possible mechanisms of some epilepsy associations, which by further study might provide avenues for therapy research.https://www.mdpi.com/1467-3045/46/12/833epilepsyMendelian randomization analysisskin microbiotacirculating metabolic biomarker |
| spellingShingle | Yongheng Wang Tianyi Liu Shangying Wu Jiawei Sun Mingdao Mu Zhiyuan Yang Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis Current Issues in Molecular Biology epilepsy Mendelian randomization analysis skin microbiota circulating metabolic biomarker |
| title | Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis |
| title_full | Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis |
| title_fullStr | Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis |
| title_full_unstemmed | Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis |
| title_short | Skin Microbiota, Circulating Metabolic Biomarker, Epilepsy: A Mendelian Randomization Analysis |
| title_sort | skin microbiota circulating metabolic biomarker epilepsy a mendelian randomization analysis |
| topic | epilepsy Mendelian randomization analysis skin microbiota circulating metabolic biomarker |
| url | https://www.mdpi.com/1467-3045/46/12/833 |
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