Hearing loss and vestibular disorders represent major otologic disease challenges. Traditional disease models struggle to accurately mimic human otologic pathologies due to species differences and limited physiological relevance. Recent advancements in otic vitro models have provided crucial tools for related research....
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Discussion
Signed responses from readers of the wire.
No actionable change — this is a laboratory research review with no immediate clinical application; findings are relevant to researchers developing disease models and potential drug-testing platforms for ear conditions.
Advances in inner ear organoids and 3D middle ear models could dramatically accelerate drug discovery and personalised medicine for hearing loss and otologic diseases over the coming decade.
- 01Reviews state-of-the-art 3D air-liquid interface (ALI) models of middle ear epithelial cells and inner ear organoids.
- 02These models replicate key features of ear tissue and can be used to study hearing loss, infection, and vestibular disorders.
- 03Organoid and ALI platforms may reduce reliance on animal models in otologic research.
- 04Significant limitations remain: models do not yet fully recapitulate in vivo ear complexity.
- 05Published in Frontiers in Bioengineering and Biotechnology (doi: 10.3389/fbioe.2026.1881504).
3D ALI-cultured middle ear epithelial cells and inner ear organoids are viable disease models for hearing loss and vestibular disorders.
studypartially supportedInner ear organoids have prospects as platforms for drug testing and personalised medicine in otologic diseases.
opinionpartially supported- PMID
- 42781149
- DOI
- 10.3389/fbioe.2026.1881504.
- Journal
- Frontiers in Bioengineering and Biotechnology
- Publication type
- review
- Evidence level
- 5
- Population
- Laboratory cell and organoid models of middle and inner ear tissue
- Intervention
- 3D air-liquid interface cultured middle ear epithelial cells and inner ear organoids
Primary outcomes
Advances in organoid and ALI model fidelity for otologic disease modelling; Prospects for drug discovery and personalised medicine applications