Identifying tinnitus-related genes based on a side-effect network analysis

A. B. Elgoyhen, B. Langguth, W. Nowak, M. Schecklmann, D. De Ridder, S. Vanneste

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article numbere97
JournalCPT: Pharmacometrics and Systems Pharmacology
Volume3
Issue number1
DOIs
StatePublished - Jan 2 2014
Externally publishedYes

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Drug therapy
Tinnitus
Network Analysis
Pathology
Electric network analysis
Genes
Acoustic waves
Gene
Target
Drugs
Pathophysiology
Pharmacology
Phantom
Disorder
Salicylates
Generator
Predict
Unknown
Pharmaceutical Preparations
Databases

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Elgoyhen, A. B., Langguth, B., Nowak, W., Schecklmann, M., De Ridder, D., & Vanneste, S. (2014). Identifying tinnitus-related genes based on a side-effect network analysis. CPT: Pharmacometrics and Systems Pharmacology, 3(1), [e97]. https://doi.org/10.1038/psp.2013.75

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.

In: CPT: Pharmacometrics and Systems Pharmacology, Vol. 3, No. 1, e97, 02.01.2014.

Research output: Contribution to journalArticle

Elgoyhen, AB, Langguth, B, Nowak, W, Schecklmann, M, De Ridder, D & Vanneste, S 2014, 'Identifying tinnitus-related genes based on a side-effect network analysis', CPT: Pharmacometrics and Systems Pharmacology, vol. 3, no. 1, e97. https://doi.org/10.1038/psp.2013.75
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. In: CPT: Pharmacometrics and Systems Pharmacology. 2014 ; Vol. 3, No. 1.
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