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Drug repositioning for idiopathic epilepsy using gene expression signature data

Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic patients remain un-treated after the therapeutic option. Genetic or idiopathic epilepsy count about 40% of total epilepsy patients, showin...

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Autores principales: Kumar, Pawan, Sheokand, Deepak, Grewal, Annu, Saini, Vandana, Kumar, Ajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465761/
https://www.ncbi.nlm.nih.gov/pubmed/37654844
http://dx.doi.org/10.6026/97320630018845
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author Kumar, Pawan
Sheokand, Deepak
Grewal, Annu
Saini, Vandana
Kumar, Ajit
author_facet Kumar, Pawan
Sheokand, Deepak
Grewal, Annu
Saini, Vandana
Kumar, Ajit
author_sort Kumar, Pawan
collection PubMed
description Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic patients remain un-treated after the therapeutic option. Genetic or idiopathic epilepsy count about 40% of total epilepsy patients, showing a maximum percentage for drug-resistant epilepsy. Since the last century basic approach to understanding disease progression and drug discovery has been through the prism, exploring all possible causes and treatment options. Here we report about the gene expression-based drug repositioning study for epilepsy. Epilepsy gene expression data was retrieved from the Gene Expression Omnibus database, while drugs-associated gene expression data was retrieved from the Connectivity map (CMAP). The study predicted309 drug compounds which can alter genetic epilepsy-mediated gene signature using an in-house developed R-script. These compounds were docked against identified epilepsy targets– Voltage-gated sodium channel subunit α2 (Nav1.2); GABA receptor α1-β1; and Voltage-gated calcium channel α1G (Cav3.1)using Carbamazepine, Clonazepam, and Pregabalin as standard drugs, respectively. Twenty-one predicted drug compounds showed better binding affinity than respective standards against the selected epileptic receptors. Among these drug compounds, Ergocalciferol, Oxaprozin, Flunarizine, Triprolidine and Cyproheptadine have been previously reported for anti-epileptic activities and can be potential hits to target idiopathic epilepsy.
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spelling pubmed-104657612023-08-31 Drug repositioning for idiopathic epilepsy using gene expression signature data Kumar, Pawan Sheokand, Deepak Grewal, Annu Saini, Vandana Kumar, Ajit Bioinformation Research Article Epilepsy is one of the most common neurological disorders, affecting millions of patients with a substantial economic and human burden. About 30-40% of epileptic patients remain un-treated after the therapeutic option. Genetic or idiopathic epilepsy count about 40% of total epilepsy patients, showing a maximum percentage for drug-resistant epilepsy. Since the last century basic approach to understanding disease progression and drug discovery has been through the prism, exploring all possible causes and treatment options. Here we report about the gene expression-based drug repositioning study for epilepsy. Epilepsy gene expression data was retrieved from the Gene Expression Omnibus database, while drugs-associated gene expression data was retrieved from the Connectivity map (CMAP). The study predicted309 drug compounds which can alter genetic epilepsy-mediated gene signature using an in-house developed R-script. These compounds were docked against identified epilepsy targets– Voltage-gated sodium channel subunit α2 (Nav1.2); GABA receptor α1-β1; and Voltage-gated calcium channel α1G (Cav3.1)using Carbamazepine, Clonazepam, and Pregabalin as standard drugs, respectively. Twenty-one predicted drug compounds showed better binding affinity than respective standards against the selected epileptic receptors. Among these drug compounds, Ergocalciferol, Oxaprozin, Flunarizine, Triprolidine and Cyproheptadine have been previously reported for anti-epileptic activities and can be potential hits to target idiopathic epilepsy. Biomedical Informatics 2022-10-31 /pmc/articles/PMC10465761/ /pubmed/37654844 http://dx.doi.org/10.6026/97320630018845 Text en © 2022 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Kumar, Pawan
Sheokand, Deepak
Grewal, Annu
Saini, Vandana
Kumar, Ajit
Drug repositioning for idiopathic epilepsy using gene expression signature data
title Drug repositioning for idiopathic epilepsy using gene expression signature data
title_full Drug repositioning for idiopathic epilepsy using gene expression signature data
title_fullStr Drug repositioning for idiopathic epilepsy using gene expression signature data
title_full_unstemmed Drug repositioning for idiopathic epilepsy using gene expression signature data
title_short Drug repositioning for idiopathic epilepsy using gene expression signature data
title_sort drug repositioning for idiopathic epilepsy using gene expression signature data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465761/
https://www.ncbi.nlm.nih.gov/pubmed/37654844
http://dx.doi.org/10.6026/97320630018845
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