Evidence map›Paper›PMID 29593497›Full record

ReviewFrontiers in molecular neuroscience2018

Reprogramming Glia Into Neurons in the Peripheral Auditory System as a Solution for Sensorineural Hearing Loss: Lessons From the Central Nervous System.

Steven J Meas, Chun-Li Zhang, Alain Dabdoub

Abstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Neural Hearing Loss: Mechanisms, Diagnosis and Treatment Horizons.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Review
  3. Targeted spiral ganglion neuron degeneration in parvalbumin-Cre neonatal mice.Molecular therapy. Methods & clinical development · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Early Deletion ofFrontiers in cell and developmental biology · 2022
    Article
  8. Cochlear Sox2Frontiers in cell and developmental biology · 2021
    Article
  9. Article
  10. Review
  11. Frontiers in neuroscience · 2018
    Article
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

3 authors.

Steven J MeasDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Chun-Li ZhangDepartment of Molecular Biology, The University of Texas Southwestern Medical Center, Dallas, TX, United States.
Alain DabdoubDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disabling hearing loss affects over 5% of the world's population and impacts the lives of individuals from all age groups. Within the next three decades, the worldwide incidence of hearing impairment is expected to double. Since a leading cause of hearing loss is the degeneration of primary auditory neurons (PANs), the sensory neurons of the auditory system that receive input from mechanosensory hair cells in the cochlea, it may be possible to restore hearing by regenerating PANs. A direct reprogramming approach can be used to convert the resident spiral ganglion glial cells into induced neurons to restore hearing. This review summarizes recent advances in reprogramming glia in the CNS to suggest future steps for regenerating the peripheral auditory system. In the coming years, direct reprogramming of spiral ganglion glial cells has the potential to become one of the leading biological strategies to treat hearing impairment.

Indexed as

brainearhearing lossin vivoregenerationreprogrammingtissue repair

Identifiers

PMID29593497
PMCPMC5861218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.