ArticleFrontiers in microbiology2025
Multi-omics integration reveals gut microbiota dysbiosis and metabolic alterations of cerebrospinal fluid in children with epilepsy.
Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Transcriptomic Challenges We Faced with Animal Models for Neurological Disorders.Current issues in molecular biology · 2026Review
- Integrated Multiomics Reveals Gut-Brain Axis Dysregulation and Phenotype-Specific Metabolic Signatures in Children with Febrile Seizures.Biomedicines · 2026Article
- Plant-Derived Foods and Medicines as Modulators of the Gut Microbiome: Molecular Interactions and Implications for Disease and Therapy.Molecules (Basel, Switzerland) · 2026Review
- Amino acid- and lipid-related metabolic remodeling in PTZ-kindled mice reveals candidate plasma signatures of chronic epilepsy.Frontiers in neuroscience · 2026Article
- IntestinalFrontiers in neuroscience · 2026Article
- The associations between epilepsy, metabolism, and their clinical implications.Frontiers in endocrinology · 2026Review
- Modulation of Gut Microbiome and Metabolome as One of the Potential Mechanisms of Ketogenic Diet Effect in the Treatment of Epilepsy.Nutrients · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Introduction: Epilepsy is a complex neurological disorder with an unclear pathogenesis. Emerging evidence suggests that gut microbiota dysbiosis and cerebrospinal fluid (CSF) metabolic alterations play a critical role in epilepsy progression through the gut-brain axis. This study aimed to characterize microbial and metabolic disturbances in pediatric epilepsy and identify potential diagnostic biomarkers through integrative multi-omics analysis of matched fecal and CSF samples. Methods: In this study, we conducted 16S rRNA gene sequencing on fecal samples from a total of 50 participants including 17 common epilepsy (CEP) patients, 23 refractory epilepsy (REP) patients, and 10 non-epilepsy (NEP) patients, along with untargeted metabolomic analysis on 24 paired CSF samples from REP and NEP groups. Multi-omics integration and a random forest model were applied to assess diagnostic performance, identifying microbial and metabolite signatures associated with epilepsy. Results: Children with epilepsy (REP and CEP) exhibited distinct gut microbiota dysbiosis. Specifically, multivariable association modeling using MaAsLin 3 identified 13 discriminatory microbial taxa, with Conclusion: These findings reveal concurrent gut microbiota dysbiosis and CSF metabolic disturbances in epilepsy, underscoring their interrelated roles in epileptogenesis and reinforcing our understanding of microbiome-metabolome crosstalk. The integrated multi-omics model demonstrated superior diagnostic performance, emphasizing its potential for precision biomarker discovery and clinical application in epilepsy stratification and intervention.
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