Evidence map›Paper›PMID 41190071›Full record

ArticleFrontiers in immunology2025

Identification of genes associated with disulfidptosis in the subacute phase of spinal cord injury and analysis of potential therapeutic targets.

Shenglong Wang, Xiaochen Su, Wenting Xu, Yonghui Zhao, Yulong Zhang, Yingang Zhang

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shenglong WangDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaochen SuDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenting XuThe Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yonghui ZhaoDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yulong ZhangDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yingang ZhangDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Disulfidptosis, a recently identified form of regulated cell death, plays a potential role in secondary injury following spinal cord injury (SCI). However, its regulatory mechanisms and therapeutic targets during the subacute phase remain unclear. This study aimed to systematically identify core disulfidptosis-related genes (DRGs) in subacute SCI and explore potential diagnostic biomarkers and therapeutic compounds. Methods: Two GEO datasets-GSE151371 and GSE45006 were analyzed. Differentially expressed genes (DEGs) were intersected with known DRGs to obtain disulfidptosis-related DEGs (DE-DRGs). Immune cell infiltration was assessed using CIBERSORT, while small-molecule prediction and molecular docking identified candidate compounds. Key diagnostic genes were screened by random forest and LASSO algorithms and validated via receiver operating characteristic (ROC) analysis. A protein-protein interaction (PPI) network was constructed, and Mfuzz clustering analyzed temporal expression patterns. Immunofluorescence staining of rat SCI sections validated IQGAP1 expression and cellular localization by co-labeling with cell-type markers and quantifying co-localization coefficients. Results: A total of 6,948 DEGs were obtained, among which 8 overlapped with known DRGs. IQGAP1 was significantly upregulated in SCI samples, positively correlated with neutrophil infiltration, and located at the core of the PPI network. It was identified as a key diagnostic gene by both machine learning algorithms, showing a high diagnostic accuracy (AUC = 0.974). Molecular docking indicated a strong binding affinity between IQGAP1 and small molecules such as vitamin E (binding energy < -7.0 kcal/mol). Time-series clustering revealed sustained upregulation of IQGAP1 from day 7 onward in the subacute phase. Functional enrichment analyses (GO, KEGG, GSVA, and GSEA) implicated IQGAP1 in cytoskeleton remodeling, immune regulation, and metabolic reprogramming. Immunofluorescence in SCI rat models confirmed consistent spatial expression patterns. Discussion: IQGAP1 was identified as a central regulator of disulfidptosis during the subacute phase of SCI, exhibiting strong diagnostic and therapeutic potential. Its association with immune infiltration and metabolic remodeling suggests that targeting IQGAP1 may offer novel strategies for mitigating secondary injury in SCI.

Indexed as

Spinal Cord InjuriesAnimalsBiomarkersComputational BiologyDatabases, GeneticDisulfidptosisGene Expression ProfilingGene Regulatory NetworksHumansMolecular Docking SimulationProtein Interaction MapsRatsBiomarkersbioinformatics analysisdisulfidptosismachine learningmolecular docking simulationspinal cord injury

Identifiers

PMID41190071
PMCPMC12580332

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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.