Evidence map›Paper›PMID 41673791›Full record

ArticleNeural regeneration research2026

Integrating bulk and single-cell transcriptome profiling to uncover diagnostic biomarkers and regulatory mechanisms of oxidative stress in spinal cord injury.

Jianfeng Li, Kuileung Tong, Jiaxiang Zhou, Shiming Li, Zhongyuan He, Fuan Wang, Hongkun Chen, Haizhen Li, Gang Cheng, Junhong Li and 2 more

Abstract read
In one paragraph

Article in Neural regeneration research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Investigating the efficacy, methods, and challenges of induced pluripotent stem cells (iPSC) therapy in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
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

12 authors.

Jianfeng LiInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.ORCID 0000-0002-0350-9086
Kuileung TongDepartment of Orthopedics, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Jiaxiang ZhouInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Shiming LiDepartment of Orthopedic Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu Province, China.
Zhongyuan HeDepartment of Orthopedics, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Fuan WangInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Hongkun ChenInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Haizhen LiInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
Gang ChengDepartment of Orthopedics and Trauma, The Affiliated Hospital of Yunnan University, Yunnan University, Kunming, Yunnan Province, China.
Junhong LiInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.ORCID 0000-0002-6597-0652
Zhiyu ZhouInnovation Platform of Regeneration and Repair of Spinal Cord and Nerve Injury, Department of Orthopedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.ORCID 0000-0002-8101-2083
Manman GaoGuangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopedic Research Institute/Department of Spinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.ORCID 0000-0003-2063-2403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

JOURNAL/nrgr/04.03/01300535-202606000-00079/figure1/v/2026-02-11T151048Z/r/image-tiff Oxidative stress significantly contributes to secondary damage after spinal cord injury. Despite its importance, research on oxidative stress in spinal cord injury remains limited. Investigating the expression and regulation of oxidative stress-related genes could enhance the diagnosis and treatment of spinal cord injury. In this study, we analyzed the sequencing data of human blood samples and injured mouse spinal cord tissue that were sourced from GEO databases and identified diagnostic biomarkers associated with the severity of spinal cord injury. We also explored the expression patterns of oxidative stress-related genes, potential regulatory mechanisms, and therapeutic drugs. To validate our findings, we performed immunofluorescence and quantitative polymerase chain reaction to assess gene expression in the injured spinal cord. Our results revealed biomarkers associated with oxidative stress and immune responses across different levels of spinal cord injury in humans. We identified differentially expressed oxidative stress-related genes and key hub genes in injured mouse spinal cord tissue and revealed their temporal expression patterns at both the tissue and single-cell levels. We also clarified the signaling pathways associated with oxidative stress and identified ligand-receptor pairs among various cell types at different time points after injury. Furthermore, we discovered microRNAs, long non-coding RNAs, and transcription factors that regulate these hub genes and revealed their roles in modulating gene expression at various stages after spinal cord injury. We also identified drugs targeting these hub genes. The findings from this study not only aid in identifying diagnostic biomarkers that reflect the severity of spinal cord injury, but also provide insights into the expression dynamics of oxidative stress-related genes. In addition, the study reveals potential regulatory mechanisms and identifies potential drugs to treat patients with spinal cord injury.

Indexed as

bioinformatics analysisdiagnostic biomarkerdrug interventionexpression characteristicsimmune changeoxidative stressregulation mechanismseverity of the illnessspinal cord injuryspinal cord repair

Identifiers

PMID41673791
PMCPMC13217428

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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.