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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...

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Autores principales: Elgoyhen, A B, Langguth, B, Nowak, W, Schecklmann, M, De Ridder, D, Vanneste, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
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.
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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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