The Interaction of UBR4, LRP1, and OPHN1 in Refractory Epilepsy: Drosophila Model to Investigate the Oligogenic Effect on Epilepsy
Huang, R.-N.; Luo, S.-Y.; Huang, T.; Li, X.-S.; Zhou, F.-C.; Li, L.-Y.; Chen, Z.-R.; Chen, S.-Q.; Tang, B.; Qiao, J.-D.
Show abstract
Refractory epilepsy is an intractable neurological disorder that is currently difficult to achieve effective pharmacological control in clinical practice and can result in poor quality of life as well as increased mortality. Genetic factors are important causes of epilepsy, especially idiopathic epilepsy. In the clinical gene sequencing work, we identified one refractory epileptic patient who carried three epileptogenic candidate genes: UBR4, LRP1, and OPHN1 variants. To clarify the epileptogenicity and interactions of UBR4, LRP1, and OPHN1 variants, as well as explore the role of each mutant gene in eliciting epilepsy, we established single-knockdown, double-knockdown, and triple-knockdown Drosophila models by suppressing the gene expression of these three epileptogenic candidate genes. After conducting behavioral testing for epilepsy in the seven Drosophila knockdown models, regression equations illustrating the causal connection between genotype and phenotype were developed. The mutations of the three epileptogenic candidate genes: UBR4, LRP1, and OPHN1, were proved to be epileptogenic at the animal level both in seizure rates and logistic regression results. Moreover, significant negative interactions in UBR4-OPHN1 KD and LRP1-OPHN1 KD were found in the trigenic KD system as well as the UBR4-OPHN1 and LRP1-OPHN1 digenic KD system according to the logistic regression analysis result. However, despite the existence of negative interaction, three groups of digenic KD flies and one group of trigenic KD flies presented higher seizure rates than that of the corresponding monogenic KD flies. LRP1-OPHN1 KD together with its negative interaction was regarded as the main causative factors for seizure in the UBR4-LRP1-OPHN1 KD.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- NaV1.1 and NaV1.6 selective compounds reduce the behavior phenotype in a novel zebrafish model for Dravet Syndrome 93%
- Mecamylamine inhibits seizure-like activity in CA1-CA3 hippocampus through antagonism to nicotinic receptors 93%
- Transcriptome analysis of sevoflurane exposure effects at the different brain regions 93%
Similar papers in this journal
- Inhibitory synaptic transmission is impaired at higher extracellular Ca2+ concentrations in Scn1a+/- mouse model of Dravet syndrome 92%
- Necessity of integrated genomic analysis to establish a designed knock-in mouse from CRISPR-Cas9-induced mutants 92%
- Dynamic Multiday Seizure Cycles in a Tetanus Toxin Rat Model of Epilepsy: Evolving Rhythms and Implications for Prediction 92%
Similar papers in this journal
Similar papers in this journal
- Changes in interictal pretreatment and posttreatment EEG in childhood absence epilepsy 92%
- Dexmedetomidine - commonly used in functional imaging studies - increases susceptibility to seizures in rats but not in wild type mice 91%
- Xenon LFP Analysis Platform is a Novel Graphical User Interface for Analysis of Local Field Potential from Large-Scale MEA Recordings 90%
Similar papers in this journal
- Interictal activity fluctuations follow rather than precede seizures on multiple time scales in a mouse model of focal cortical dysplasia 94%
- Proteomic signature of the Dravet syndrome in the genetic Scn1a-A1783V mouse model 94%
- Mosaic and non-mosaic pcdh19 mutation leads to neuronal hyperexcitability in zebrafish 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.