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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Biomedical Informatics
2022
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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. |
format | Online Article Text |
id | pubmed-10465761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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