Clocking Epilepsies: A Chronomodulated Strategy-Based Therapy for Rhythmic Seizures.
Sha SunHan WangPublished in: International journal of molecular sciences (2023)
Epilepsy is a neurological disorder characterized by hypersynchronous recurrent neuronal activities and seizures, as well as loss of muscular control and sometimes awareness. Clinically, seizures have been reported to display daily variations. Conversely, circadian misalignment and circadian clock gene variants contribute to epileptic pathogenesis. Elucidation of the genetic bases of epilepsy is of great importance because the genetic variability of the patients affects the efficacies of antiepileptic drugs (AEDs). For this narrative review, we compiled 661 epilepsy-related genes from the PHGKB and OMIM databases and classified them into 3 groups: driver genes, passenger genes, and undetermined genes. We discuss the potential roles of some epilepsy driver genes based on GO and KEGG analyses, the circadian rhythmicity of human and animal epilepsies, and the mutual effects between epilepsy and sleep. We review the advantages and challenges of rodents and zebrafish as animal models for epileptic studies. Finally, we posit chronomodulated strategy-based chronotherapy for rhythmic epilepsies, integrating several lines of investigation for unraveling circadian mechanisms underpinning epileptogenesis, chronopharmacokinetic and chronopharmacodynamic examinations of AEDs, as well as mathematical/computational modeling to help develop time-of-day-specific AED dosing schedules for rhythmic epilepsy patients.
Keyphrases
- genome wide
- end stage renal disease
- temporal lobe epilepsy
- newly diagnosed
- ejection fraction
- genome wide identification
- chronic kidney disease
- peritoneal dialysis
- endothelial cells
- dna methylation
- physical activity
- bioinformatics analysis
- machine learning
- genome wide analysis
- depressive symptoms
- risk assessment
- blood brain barrier
- climate change
- subarachnoid hemorrhage
- sleep quality