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Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy

Epilepsy is a highly prevalent, severely debilitating neurological disorder characterized by seizures and neuronal hyperactivity due to an imbalanced neurotransmission. As genetic factors play a key role in epilepsy and its treatment, various genetic and genomic technologies continue to dissect the...

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Autores principales: Shevlyakov, Anton D., Kolesnikova, Tatiana O., de Abreu, Murilo S., Petersen, Elena V., Yenkoyan, Konstantin B., Demin, Konstantin A., Kalueff, Allan V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049737/
https://www.ncbi.nlm.nih.gov/pubmed/36982355
http://dx.doi.org/10.3390/ijms24065280
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author Shevlyakov, Anton D.
Kolesnikova, Tatiana O.
de Abreu, Murilo S.
Petersen, Elena V.
Yenkoyan, Konstantin B.
Demin, Konstantin A.
Kalueff, Allan V.
author_facet Shevlyakov, Anton D.
Kolesnikova, Tatiana O.
de Abreu, Murilo S.
Petersen, Elena V.
Yenkoyan, Konstantin B.
Demin, Konstantin A.
Kalueff, Allan V.
author_sort Shevlyakov, Anton D.
collection PubMed
description Epilepsy is a highly prevalent, severely debilitating neurological disorder characterized by seizures and neuronal hyperactivity due to an imbalanced neurotransmission. As genetic factors play a key role in epilepsy and its treatment, various genetic and genomic technologies continue to dissect the genetic causes of this disorder. However, the exact pathogenesis of epilepsy is not fully understood, necessitating further translational studies of this condition. Here, we applied a computational in silico approach to generate a comprehensive network of molecular pathways involved in epilepsy, based on known human candidate epilepsy genes and their established molecular interactors. Clustering the resulting network identified potential key interactors that may contribute to the development of epilepsy, and revealed functional molecular pathways associated with this disorder, including those related to neuronal hyperactivity, cytoskeletal and mitochondrial function, and metabolism. While traditional antiepileptic drugs often target single mechanisms associated with epilepsy, recent studies suggest targeting downstream pathways as an alternative efficient strategy. However, many potential downstream pathways have not yet been considered as promising targets for antiepileptic treatment. Our study calls for further research into the complexity of molecular mechanisms underlying epilepsy, aiming to develop more effective treatments targeting novel putative downstream pathways of this disorder.
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spelling pubmed-100497372023-03-29 Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy Shevlyakov, Anton D. Kolesnikova, Tatiana O. de Abreu, Murilo S. Petersen, Elena V. Yenkoyan, Konstantin B. Demin, Konstantin A. Kalueff, Allan V. Int J Mol Sci Review Epilepsy is a highly prevalent, severely debilitating neurological disorder characterized by seizures and neuronal hyperactivity due to an imbalanced neurotransmission. As genetic factors play a key role in epilepsy and its treatment, various genetic and genomic technologies continue to dissect the genetic causes of this disorder. However, the exact pathogenesis of epilepsy is not fully understood, necessitating further translational studies of this condition. Here, we applied a computational in silico approach to generate a comprehensive network of molecular pathways involved in epilepsy, based on known human candidate epilepsy genes and their established molecular interactors. Clustering the resulting network identified potential key interactors that may contribute to the development of epilepsy, and revealed functional molecular pathways associated with this disorder, including those related to neuronal hyperactivity, cytoskeletal and mitochondrial function, and metabolism. While traditional antiepileptic drugs often target single mechanisms associated with epilepsy, recent studies suggest targeting downstream pathways as an alternative efficient strategy. However, many potential downstream pathways have not yet been considered as promising targets for antiepileptic treatment. Our study calls for further research into the complexity of molecular mechanisms underlying epilepsy, aiming to develop more effective treatments targeting novel putative downstream pathways of this disorder. MDPI 2023-03-09 /pmc/articles/PMC10049737/ /pubmed/36982355 http://dx.doi.org/10.3390/ijms24065280 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Shevlyakov, Anton D.
Kolesnikova, Tatiana O.
de Abreu, Murilo S.
Petersen, Elena V.
Yenkoyan, Konstantin B.
Demin, Konstantin A.
Kalueff, Allan V.
Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title_full Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title_fullStr Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title_full_unstemmed Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title_short Forward Genetics-Based Approaches to Understanding the Systems Biology and Molecular Mechanisms of Epilepsy
title_sort forward genetics-based approaches to understanding the systems biology and molecular mechanisms of epilepsy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049737/
https://www.ncbi.nlm.nih.gov/pubmed/36982355
http://dx.doi.org/10.3390/ijms24065280
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