Evidence map›Paper›PMID 42182986›Full record

ArticleFrontiers in molecular neuroscience2026

The H3K9me2-FOXG1-microRNA axis reduces cochlear hair cells damage by modulating autophagy in age-related hearing loss.

Sihui Wen, Yongping Huang, Yurong Mu, Caini Li, Bowen Xu, Shengyu Zou, Chunjiang Wei, Kun Lin, Tingting Wu, Peng Zhang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in molecular neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sihui Wen *Department of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yongping Huang *Taikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, China.
Yurong Mu *Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China.
Caini LiDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Bowen XuDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Shengyu ZouDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Chunjiang WeiDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kun LinDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Tingting WuDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Peng ZhangTaikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, China.
Zuhong HeDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related hearing loss (ARHL) is a growing global health concern due to its irreversibility and multifactorial pathogenesis. Epigenetic alterations are emerging as key drivers of aging, yet the mechanisms underlying their contribution to ARHL remain poorly understood. Here, we identified the histone H3 lysine 9 dimethylation (H3K9me2)-forkhead box G1 (FOXG1)-microRNA axis as a crucial regulator of auditory degeneration through modulation of autophagy. Using

Indexed as

age-related hearing lossautophagyFOXG1H3K9me2hair cellsmicroRNAs

Identifiers

PMID42182986
PMCPMC13194610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.