Evidence map›Paper›PMID 40496261›Full record

ArticleWorld journal of orthopedics2025

Long non-coding RNA GAS5 promotes neuronal apoptosis in spinal cord injury

Ying-Jie Wang, Zhong-Zheng Zhi, Tao Liu, Jian Kang, Guang-Hui Xu

Abstract read
In one paragraph

Article in World journal of orthopedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Ying-Jie WangDepartment of Spine Surgery, East Hospital Affiliated to Tongji University School of Medicine, Shanghai 200120, China.
Zhong-Zheng ZhiDepartment of Spine Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Tao LiuDepartment of Spine Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Jian KangDepartment of Spine Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China. kangjian_spine@126.com.
Guang-Hui XuShanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) is a severe and permanent trauma that often leads to significant motor, sensory, and autonomic dysfunction. Neuronal apoptosis is a major pathomechanism underlying secondary injury in SCI. Long non-coding RNAs (lncRNAs) have emerged as key regulators of gene expression and cellular processes, including apoptosis. However, the role of lncRNA growth arrest-specific transcript 5 (GAS5) in SCI-induced neuronal apoptosis remains unclear.

aimTo investigate the role of lncRNA GAS5 in SCI-induced neuronal apoptosis

methodsSCI rat models and hypoxic neuronal cell models were established. Motor function was assessed using the Basso-Beattie-Bresnahan score. Expression levels of GAS5, miR-21, PTEN, caspase 3, B-cell lymphoma 2 (Bcl-2), Bcl-2-associated X protein (Bax), and AKT were measured using quantitative PCR or Western blot analysis. Neuronal apoptosis was determined by TUNEL staining. Dual-luciferase reporter assays validated GAS5-miR-21 binding. Knockdown and overexpression experiments explored the functional effects of the GAS5/miR-21 axis.

resultsGAS5 was significantly upregulated in the spinal cord following SCI, coinciding with increased neuronal apoptosis and decreased AKT activation.

conclusionGAS5 promotes neuronal apoptosis in SCI by binding to miR-21 and upregulating PTEN expression, inhibiting the AKT pathway. Targeting GAS5 may represent a novel therapeutic strategy for SCI.

Indexed as

Growth arrest-specific transcript 5Long non-coding RNAMicroRNA-21Neuronal apoptosisSpinal cord injury

Identifiers

PMID40496261
PMCPMC12146975

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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.