Genetic paroxysmal neurological disorders featuring episodic ataxia and epilepsy

Autor: Elisabetta Amadori, Giuditta Pellino, Lalit Bansal, Serena Mazzone, Rikke S. Møller, Guido Rubboli, Pasquale Striano, Angelo Russo
Rok vydání: 2022
Předmět:
Zdroj: Amadori, E, Pellino, G, Bansal, L, Mazzone, S, Møller, R S, Rubboli, G, Striano, P & Russo, A 2022, ' Genetic paroxysmal neurological disorders featuring episodic ataxia and epilepsy ', European Journal of Medical Genetics, vol. 65, no. 4, 104450 . https://doi.org/10.1016/j.ejmg.2022.104450
ISSN: 1769-7212
Popis: Objective: This review article focuses on clinical and genetic features of paroxysmal neurological disorders featuring episodic ataxia (EA) and epilepsy and help clinicians recognize, diagnose, and treat patients with co-existing EA and epilepsy. It also provides an overview of genes and molecular mechanisms underlying these intriguing neurogenetic disorders. Methods: Based on a literature review on Pubmed database, a list of genes linked to paroxysmal neurological disorders featuring EA and epilepsy were compiled. Online Mendelian Inheritance in Man (OMIM) was used to identify further reports relevant to each gene. Results: Among the various forms of EAs, only EA1 (KCNA1), EA2 (CACNA1A), EA5 (CACNB4), EA6 (SLC1A3), and EA9 (SCN2A) phenotypes with associated epilepsy have been described. Next-generation sequencing (NGS) has helped in the identification of other genes (e.g.: KCNA2, ATP1A3, SLC2A1, PRRT2) which have shown an overlapping phenotype with EA and epilepsy. Conclusion: Overlapping clinical features between EA and epilepsy may hinder an accurate classification, and complex genotype-phenotype correlation may often lead to misdiagnosis. NGS has increased the awareness of common genetic etiologies for these conditions. In the future, extensive genetic and phenotypic characterizations can help us to elucidate the boundaries of a wide phenotypic spectrum. These insights may help develop new precision therapies in paroxysmal neurological disorders featuring EA and epilepsy.
Databáze: OpenAIRE