Aug 2026· Epilepsia Open· 0 citations· 125 references
Medicine
TL;DR
This review synthesizes contemporary insights into the genetic and molecular pathophysiology of seizures and epilepsy, with emphasis on mechanisms that destabilize excitation–inhibition balance, promote epileptogenesis, and drive pharmacoresistance and supports more refined approaches to epilepsy classification and future precision medicine strategies.
Abstract
Abstract Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by remarkably diverse genetic, molecular, and network‐level mechanisms. Advances in genomic technologies have revealed that epilepsy arises from a multilayered genetic architecture encompassing rare high‐penetrance monogenic variants, common polygenic risk factors, brain‐restricted somatic mosaicism, and extensive gene–environment interactions. These genetic substrates converge on core biological pathways regulating neuronal excitability, synaptic transmission, metabolic homeostasis, neuroinflammation, and circuit development. In this review, we synthesize contemporary insights into the genetic and molecular pathophysiology of seizures and epilepsy, with emphasis on mechanisms that destabilize excitation–inhibition balance, promote epileptogenesis, and drive pharmacoresistance. We highlight how ion channel dysfunction, synaptic vesicle cycling defects, mTOR pathway hyperactivation, glial and metabolic failure, and inflammatory cascades interact to lower seizure threshold and remodel neural networks. Beyond classical monogenic and polygenic models, we discuss the emerging role of somatic mutations, polygenic modifiers of rare variants, and dynamic brain‐state–dependent seizure susceptibility. We further integrate genetic mechanisms with clinical heterogeneity, including age of onset, seizure type, penetrance, pleiotropy, and treatment response, and review translational implications for precision medicine, pharmacogenomics, and emerging molecular therapies such as antisense oligonucleotides, gene regulation strategies, and cell‐based interventions. Understanding the genetic architecture of epilepsy is increasingly informing diagnostic pathways, prognostic stratification, and the development of precision‐based therapeutic approaches. Plain Language Summary Epilepsy genetics extends beyond single‐gene disorders and involves multiple interacting layers of genomic variation. In this review, we integrate evidence across rare variants, polygenic risk, somatic mosaicism, and genetic modifiers to provide a broader framework for understanding seizure susceptibility and clinical diversity. By highlighting convergent biological pathways and their effects on neuronal networks, this work supports more refined approaches to epilepsy classification and future precision medicine strategies.
The study provides an integrated framework linking genetic variation to molecular dysfunction and clinical outcomes, offering valuable insights for future research and therapeutic development in pediatric neurology.
Varada Vidya Rani, Suryanarayana Reddy Kovvuri, D. Arya· Genetics and Molecular Resea...· 0 citations
Current evidence supports a shift from empirical seizure suppression toward mechanism‐guided and individualized care, and future progress will require closer integration of molecular discovery, validated biomarkers, and real‐world implementation to achieve earlier, more equitable, and potentially disease‐modifying treatment.
Epilepsy is increasingly recognized as a multiscale network disorder rather than solely a condition of neuronal hyperexcitability, and the coordinated use of complementary human-relevant platforms may help incorporate multiscale mechanistic insights into therapeutic development and evaluation, narrow persistent translational gaps, and support more predictive and mechanism-informed treatment strategies.
Wonseok Chang, Amy Seomin Kwak, Seung Ho Han et al.· Pharmaceutics· 0 citations
The existing literature on astrocyte dysfunction in genetic epilepsy syndromes and neurodevelopmental disorders with seizures is reviewed and several key studies that highlight alterations in crucial astrocyte functions including calcium signaling and ion homeostasis are identified.
Jenny Lange, Eric Zhao, Ellie O'Connell et al.· Journal of Neuroscience Rese...· 0 citations
BACKGROUND
Glioma-Related Epilepsy (GRE) is a hallmark comorbidity of Low-Grade Glioma (LGG), yet the cellular and molecular mechanisms through which germline epilepsy susceptibility converges with tumor biology to shape clinical outcomes remain poorly understood.
METHODS
Genome-Wide Association Studies (GWAS), expression quantitative trait loci (eQTL) data, single-cell RNA sequencing, and spatial transcriptomics were integrated. Causal inference, phenotype-driven single-cell analyses, and machine learning were applied to identify genetically informed cellular mechanisms underlying GRE.
RESULTS
A total of 68 germline loci shared by glioma and epilepsy (FDRIVW < 0.05) were integrated, with microglia and excitatory neurons as the principal mediating cell types. Four seizure-associated genes (WFIKKN1, WDSUB1, SPARCL1, and CALD1) were subsequently identified in TCGA-LGG, with high-confidence enhancer-promoter support for three of them (colco.PP4 > 0.9). A four-gene signature consistently stratified overall survival across three independent cohorts (TCGA-LGG, CGGA_325, and GSE16011) and correlated with immune checkpoint gene expression. High-risk patients showed higher sensitivity to cyclopamine, according to in silico drug response.
DISCUSSION
These findings support a neuroimmune model in which pleiotropic germline variants act via microglia and excitatory neurons to link seizure biology with tumor immunity and prognosis. At the same time, in silico therapeutic predictions require functional and multi-ancestry validation.
CONCLUSION
These results reveal a common genetic architecture between glioma and epilepsy, offering candidate biomarkers and therapeutic strategies for the management of GRE.
Xiangling Feng, Jiahao Zhou, Zhen He et al.· Current Cancer Drug Targets· 0 citations