Genetics and Extracellular Vesicles of Pediatrics Sleep Disordered Breathing and Epilepsy
Abdelnaby Khalyfa1,2, David Sanz-Rubio3
1Department of Pediatrics, Section of Sleep Medicine, The University of Chicago, Chicago, IL 60637, USA. khalyfaa@missouri.edu.
Insights
This study explores the complex relationship between childhood epilepsy, sleep disturbances, and phenobarbital metabolism influenced by CYP2C19 genetic variations. Understanding these interactions, including extracellular vesicles, can improve precision medicine for better epilepsy treatment outcomes.
Area of Science:
- Neuroscience
- Pharmacogenomics
- Pediatric Neurology
Background:
- Sleep disturbances are common in childhood epilepsy, with complex genetic and environmental causes.
- Epilepsy affects neurobiological, cognitive, and social aspects, and its relationship with sleep is not fully understood.
- Phenobarbital (PhB) is a common antiepileptic drug whose metabolism is influenced by genetic variations.
Purpose of the Study:
- To investigate the metabolism and interactions of phenobarbital (PhB) with CYP2C19 polymorphisms in children with epilepsy.
- To explore the interplay between sleep, epilepsy, and extracellular vesicles (EVs).
- To enhance understanding for precision medicine approaches in pediatric epilepsy and sleep disorders.
Main Methods:
- Analysis of phenobarbital metabolism in relation to CYP2C19 genetic polymorphisms.
- Investigation of the role of extracellular vesicles (EVs) in the context of sleep and epilepsy.
- Review of existing literature on sleep-epilepsy interactions and pharmacogenomics.
Main Results:
- CYP2C19 genetic polymorphisms significantly affect phenobarbital (PhB) drug levels and can lead to adverse reactions or treatment failures.
- Extracellular vesicles (EVs) show potential as mediators in the complex interactions between sleep, epilepsy, and treatment responses.
- The interplay between sleep patterns, epilepsy type, and genetic factors influences seizure occurrence and treatment efficacy.
Conclusions:
- Understanding the pharmacogenomics of PhB metabolism and the role of EVs is crucial for personalized treatment strategies in pediatric epilepsy.
- Integrating knowledge of sleep-epilepsy interactions with genetic and EV-based diagnostics can improve patient prognosis and quality of life.
- Precision medicine utilizing genetic and EV biomarkers offers a promising avenue for managing sleep disorders in children with epilepsy.
Abstract:
Sleep remains one of the least understood phenomena in biology, and sleep disturbances are one of the most common behavioral problems in childhood. The etiology of sleep disorders is complex and involves both genetic and environmental factors. Epilepsy is the most popular childhood neurological condition and is characterized by an enduring predisposition to generate epileptic seizures, and the neurobiological, cognitive, psychological, and social consequences of this condition. Sleep and epilepsy are interrelated, and the importance of sleep in epilepsy is less known. The state of sleep also influences whether a seizure will occur at a given time, and this differs considerably for various epilepsy syndromes. The development of epilepsy has been associated with single or multiple gene variants. The genetics of epilepsy is complex and disorders exhibit significant genetic heterogeneity and variability in the expressivity of seizures. Phenobarbital (PhB) is the most widely used antiepileptic drug. With its principal mechanism of action to prolong the opening time of the γ-aminobutyric acid (GABA)-A receptor-associated chloride channel, it enhances chloride anion influx into neurons, with subsequent hyperpolarization, thereby reducing excitability. Enzymes that metabolize pharmaceuticals including PhB are well known for having genetic polymorphisms that contribute to adverse drug-drug interactions. PhB metabolism is highly dependent upon the cytochrome P450 (CYP450) and genetic polymorphisms can lead to variability in active drug levels. The highly polymorphic CYP2C19 isozymes are responsible for metabolizing a large portion of routinely prescribed drugs and variants contribute significantly to adverse drug reactions and therapeutic failures. A limited number of CYP2C19 single nucleotide polymorphisms (SNPs) are involved in drug metabolism. Extracellular vesicles (EVs) are circular membrane fragments released from the endosomal compartment as exosomes are shed from the surfaces of the membranes of most cell types. Increasing evidence indicated that EVs play a pivotal role in cell-to-cell communication. Theses EVs may play an important role between sleep, epilepsy, and treatments. The discovery of exosomes provides potential strategies for the diagnosis and treatment of many diseases including neurocognitive deficit. The aim of this study is to better understand and provide further knowledge about the metabolism and interactions between phenobarbital and CYP2C19 polymorphisms in children with epilepsy, interplay between sleep, and EVs. Understanding this interplay between epilepsy and sleep is helpful in the optimal treatment of all patients with epileptic seizures. The use of genetics and extracellular vesicles as precision medicine for the diagnosis and treatment of children with sleep disorder will improve the prognosis and the quality of life in patients with epilepsy.
More Related Videos
08:44Electrocorticographic Recording of Cerebral Cortex Areas Manipulated Using an Adeno-Associated Virus Targeting Cofilin in Mice
Published on: February 21, 2021
08:22A Novel Strategy Combining Array-CGH, Whole-exome Sequencing and In Utero Electroporation in Rodents to Identify Causative Genes for Brain Malformations
Published on: December 1, 2017
Related Concept Videos
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Circadian Rhythms and Gene Regulation
