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Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis
Tinnitus, phantom sound perception, is a worldwide highly prevalent disorder for which no clear underlying pathology has been established and for which no approved drug is on the market. Thus, there is an urgent need for new approaches to understand this condition. We used a network pharmacology sid...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910011/ https://www.ncbi.nlm.nih.gov/pubmed/24477090 http://dx.doi.org/10.1038/psp.2013.75 |
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author | Elgoyhen, A B Langguth, B Nowak, W Schecklmann, M De Ridder, D Vanneste, S |
author_facet | Elgoyhen, A B Langguth, B Nowak, W Schecklmann, M De Ridder, D Vanneste, S |
author_sort | Elgoyhen, A B |
collection | PubMed |
description | Tinnitus, phantom sound perception, is a worldwide highly prevalent disorder for which no clear underlying pathology has been established and for which no approved drug is on the market. Thus, there is an urgent need for new approaches to understand this condition. We used a network pharmacology side-effect analysis to search for genes that are involved in tinnitus generation. We analyzed a network of 1,313 drug–target pairs, based on 275 compounds that elicit tinnitus as side effect and their targets reported in databases, and used a quantitative score to identify emergent significant targets that were more common than expected at random. Cyclooxigenase 1 and 2 were significant, which validates our approach, since salicylate is a known tinnitus generator. More importantly, we predict previously unknown tinnitus-related targets. The present results have important implications toward understanding tinnitus pathophysiology and might pave the way toward the design of novel pharmacotherapies. |
format | Online Article Text |
id | pubmed-3910011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39100112014-02-03 Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis Elgoyhen, A B Langguth, B Nowak, W Schecklmann, M De Ridder, D Vanneste, S CPT Pharmacometrics Syst Pharmacol Original Article Tinnitus, phantom sound perception, is a worldwide highly prevalent disorder for which no clear underlying pathology has been established and for which no approved drug is on the market. Thus, there is an urgent need for new approaches to understand this condition. We used a network pharmacology side-effect analysis to search for genes that are involved in tinnitus generation. We analyzed a network of 1,313 drug–target pairs, based on 275 compounds that elicit tinnitus as side effect and their targets reported in databases, and used a quantitative score to identify emergent significant targets that were more common than expected at random. Cyclooxigenase 1 and 2 were significant, which validates our approach, since salicylate is a known tinnitus generator. More importantly, we predict previously unknown tinnitus-related targets. The present results have important implications toward understanding tinnitus pathophysiology and might pave the way toward the design of novel pharmacotherapies. Nature Publishing Group 2014-01 2014-01-29 /pmc/articles/PMC3910011/ /pubmed/24477090 http://dx.doi.org/10.1038/psp.2013.75 Text en Copyright © 2014 ASCPT http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Elgoyhen, A B Langguth, B Nowak, W Schecklmann, M De Ridder, D Vanneste, S Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title | Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title_full | Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title_fullStr | Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title_full_unstemmed | Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title_short | Identifying Tinnitus-Related Genes Based on a Side-Effect Network Analysis |
title_sort | identifying tinnitus-related genes based on a side-effect network analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910011/ https://www.ncbi.nlm.nih.gov/pubmed/24477090 http://dx.doi.org/10.1038/psp.2013.75 |
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