Transcriptional-profile changes in the medial geniculate body after noise-induced tinnitus

Exp Biol Med (Maywood). 2024 Mar 18:249:10057. doi: 10.3389/ebm.2024.10057. eCollection 2024.

Abstract

Tinnitus is a disturbing condition defined as the occurrence of acoustic hallucinations with no actual sound. Although the mechanisms underlying tinnitus have been explored extensively, the pathophysiology of the disease is not completely understood. Moreover, genes and potential treatment targets related to auditory hallucinations remain unknown. In this study, we examined transcriptional-profile changes in the medial geniculate body after noise-induced tinnitus in rats by performing RNA sequencing and validated differentially expressed genes via quantitative polymerase chain reaction analysis. The rat model of tinnitus was established by analyzing startle behavior based on gap-pre-pulse inhibition of acoustic startles. We identified 87 differently expressed genes, of which 40 were upregulated and 47 were downregulated. Pathway-enrichment analysis revealed that the differentially enriched genes in the tinnitus group were associated with pathway terms, such as coronavirus disease COVID-19, neuroactive ligand-receptor interaction. Protein-protein-interaction networks were established, and two hub genes (Rpl7a and AC136661.1) were identified among the selected genes. Further studies focusing on targeting and modulating these genes are required for developing potential treatments for noise-induced tinnitus in patients.

Keywords: RNA-sequencing; gene; medial geniculate body; tinnitus; transcriptional profile.

MeSH terms

  • Animals
  • Geniculate Bodies / metabolism
  • Humans
  • Noise / adverse effects
  • Rats
  • Tinnitus* / genetics
  • Tinnitus* / metabolism

Grants and funding

This work was supported by the National Key Research and Development Program (grant numbers 2020YFC2005203, 2022YFC2402704, and 2022YFC2402701) and the National Natural Science Foundation of China (grant numbers 81820108009 and 81970890) and Beijing Science and Technology New star Program (grant number Z201100006820133).