Evidence mapPaperPMID 40636702Full record

ReviewFrontiers in neuroscience2025

Targeting ferroptosis in spinal cord injury through stem cell therapy: mechanisms and therapeutic prospects.

Qiqin Shen, Lingdi Wu, Chuyi Cai, Bingbing Li, Fang Yu

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 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

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

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.

Qiqin ShenDepartment of Spine Surgery, Shaoxing Central Hospital, Affiliated Central Hospital of Shaoxing University, Shaoxing, Zhejiang Province, China.
Lingdi WuDepartment of Spine Surgery, Shaoxing Central Hospital, Affiliated Central Hospital of Shaoxing University, Shaoxing, Zhejiang Province, China.
Chuyi CaiDepartment of Radiology, Ningbo No. 2 Hospital, Ningbo, Zhejiang Province, China.
Bingbing LiDepartment of Pediatrics, Shaoxing Central Hospital, Affiliated Central Hospital of Shaoxing University, Shaoxing, Zhejiang Province, China.
Fang YuDepartment of Spine Surgery, Shaoxing Central Hospital, Affiliated Central Hospital of Shaoxing University, Shaoxing, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord injury (SCI) is a traumatic neurological disorder with a high incidence and limited clinical treatment options. Ferroptosis, a newly discovered form of programmed cell death, has shown significant research potential in the field of neurological diseases. Stem cells have become an ideal therapeutic option for various diseases due to their multidirectional differentiation potential and paracrine properties. Existing studies have demonstrated that stem cells possess substantial potential in the repair of spinal cord injuries. Recent research has found that stem cell transplantation can improve the pathological process of SCI by regulating the ferroptosis pathway. This review systematically described the molecular mechanisms of ferroptosis in SCI, the biological effects of stem cell therapy for SCI, and the therapeutic potential of stem cell-targeted regulation of ferroptosis. Additionally, we proposed three key research directions: cross-study of ferroptosis signaling pathways and stem cell action mechanisms, optimization strategies for therapeutic stem cells, and multimodal combined treatments based on ferroptosis regulation. This review aimed to provide new theoretical foundations and research perspectives for stem cell therapy in SCI.

Indexed as

ferroptosisneural repairprogrammed cell deathspinal cord injurystem cell therapy

Identifiers

PMID40636702
PMCPMC12239021

What Socratic holds

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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 Socratic graph.