Evidence map›Paper›PMID 40711673›Full record

ReviewStem cell reviews and reports2025

Inner Ear Organoid as a Preclinical Model of Hearing Regeneration: Progress and Applications.

Yingjie Wang, Mengyu Chen, Yiyin Pan, Xianxia Li, Xiangxin Lou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Inner Ear Organoids: Recent Progress and Challenges.Stem cell reviews and reports · 2026
    Review
  2. Organoids for disease modeling and treatment: state-of-the-art.Experimental hematology & oncology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yingjie WangCollege of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China.
Mengyu ChenCollege of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China.
Yiyin PanCollege of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China.
Xianxia LiCollege of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China.
Xiangxin LouCollege of Biological Science and Medical Engineering, Donghua University, Shanghai, 201620, China. xiangxin@dhu.edu.cn.

Funding

Natural Science Foundation of Shanghai Municipality 24ZR1401600Natural Science Foundation of Shanghai Municipality,China 20ZR1401200
6 · The paper itself

Abstract

Hearing loss is one of the most common health problems and there is no suitable way to regenerate up to now. However, if the mechanism can be clearly clarified, physiological auditory regeneration may be a possibility. Organoids, artificially generated by pluripotent stem cells under three-dimensional (3D) culture system, are now considered attractive options for constructing different 3D models to study auditory regeneration and the potential mechanisms in vitro. Organoids are essentially miniature 3D models of specific organs or tissues, enabling scientists to investigate the causes of diseases, test new drugs, and explore personalized medicine within a controlled laboratory setting. Recent discoveries have demonstrated that stem cell-derived organoids can mimic environments in vivo and provide invaluable information for modeling cochlea micro-environment. In this paper, we will provide an overview of the progress achieved in inner ear organoids as a preclinical model, aiding our understanding and providing a more effective approach to addressing hearing loss.

Indexed as

Ear, InnerHearingHearing LossOrganoidsRegenerationAnimalsHumansPluripotent Stem CellsHearing lossInner ear organoidsRegenerative medicine

Identifiers

PMID40711673

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.