Evidence map›Paper›PMID 40736401›Full record

ArticleJournal of cellular and molecular medicine2025

New Diagnostic and Therapeutic Targets for Spinal Cord Injury: GRN Gene.

Han Ding, Lei Feng, Jianping Zhang, Tuo Fang, Jun Shang, Ke Fang, Shiqing Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cellular and molecular medicine, 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. New Diagnostic and Therapeutic Targets for Spinal Cord Injury: GRN Gene.Journal of cellular and molecular medicine · 2025
    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

7 authors.

Han DingTianjin Key Laboratory of Spine and Spinal Cord, National Spinal Cord Injury International Cooperation Base, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Lei FengTianjin Key Laboratory of Spine and Spinal Cord, National Spinal Cord Injury International Cooperation Base, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Jianping ZhangOrthopaedic Bioengineering Research Group, Division of Surgery and Interventional Science, University College London, London, UK.
Tuo FangTianjin Key Laboratory of Spine and Spinal Cord, National Spinal Cord Injury International Cooperation Base, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Jun ShangInstitute of Medical Sciences, The Second Hospital and Orthopedic Research Center of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Ke FangTianjin Key Laboratory of Spine and Spinal Cord, National Spinal Cord Injury International Cooperation Base, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
Shiqing FengTianjin Key Laboratory of Spine and Spinal Cord, National Spinal Cord Injury International Cooperation Base, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0001-9437-7674

Funding

the Scientific Research Program of Tianjin Education Commission 2022KJ239
6 · The paper itself

Abstract

Spinal cord injury (SCI) is a severe disabling disease due to the poor self-healing of the central nervous system. Studies showed that many N6-methyladenosine (m6A) RNA methylation profiles are hypomethylated after SCI, which are related to neural regeneration and different m6A marker genes. In addition, immune cell infiltration may significantly affect the development and progression of SCI. Therefore, we attempted to identify the correlation between SCI-related biomarkers and m6A methylation regulators in order to classify them. To this end, we collected two gene expression profile datasets (GSE464 and GSE45006) from the GEO database, performed differential expression analysis between pairs before and after SCI, and identified 19 constant differentially expressed genes (DEGs). We found that the constant differential genes were strongly correlated with m6A methylation regulators, which could modulate the immune microenvironment of SCI. Next, this paper used a consensus clustering algorithm to classify SCI patients into three subtypes. There are significant differences between 19 constant DEGs and 28 immune cells among different subtypes. Finally, the correlation analysis of the intersection genes between constant DEGs and immune genes was performed, and GRN was identified as a potential immune biomarker for SCI.

Indexed as

Gene Regulatory NetworksProgranulinsSpinal Cord InjuriesAdenosineBiomarkersDatabases, GeneticGene Expression ProfilingGene Expression RegulationHumansMethylationTranscriptomeAdenosineBiomarkersN-methyladenosineProgranulinsbiomarkersgranulinimmune cell infiltrationm6A methylationspinal cord injury

Identifiers

PMID40736401
PMCPMC12309290

What Socratic 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 Socratic graph.