Evidence map›Paper›PMID 41444617›Full record

ArticleJournal of translational medicine2025

Integration of angiogenesis and programmed cell death mechanisms unveils potential diagnostic and therapeutic targets in spinal cord injury.

Feng Lu, Zifeng Mai, Longfei Zhang, Junkai He, Lifeng Wang, Shihong Li, Maolin Zhong

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Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Feng LuDepartment of Anesthesiology, The First Affiliated Hospital of Gannan Medical University, No. 128 Jinling Road, Ganzhou, Jiangxi, China.
Zifeng MaiThe First Clinical Medical College of Gannan Medical University, Ganzhou, China.
Longfei ZhangThe First Clinical Medical College of Gannan Medical University, Ganzhou, China.
Junkai HeThe First Clinical Medical College of Gannan Medical University, Ganzhou, China.
Lifeng WangDepartment of Anesthesiology, The First Affiliated Hospital of Gannan Medical University, No. 128 Jinling Road, Ganzhou, Jiangxi, China.
Shihong LiDepartment of Anesthesiology, The First Affiliated Hospital of Gannan Medical University, No. 128 Jinling Road, Ganzhou, Jiangxi, China.
Maolin ZhongDepartment of Anesthesiology, The First Affiliated Hospital of Gannan Medical University, No. 128 Jinling Road, Ganzhou, Jiangxi, China. zml8802@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) causes permanent neurological deficits and is associated with complex pathological processes such as angiogenesis and programmed cell death (PCD). However, the crosstalk between angiogenesis and PCD in SCI remains unclear.

methodsWe integrated angiogenesis-related and PCD-related datasets to identify angiogenesis- and PCD-associated differentially expressed genes (ARPRDEGs). Weighted gene coexpression network analysis (WGCNA), protein–protein interaction (PPI), and machine learning were used to screen hub genes, followed by time-course qRT-PCR and Western blot validation in a transection mouse model. We also performed immune infiltration analysis, drug–gene interaction prediction, Mendelian randomization (MR) analysis using GWAS and eQTL data from SCI patients, and single-cell transcriptomics with CellChat communication analysis.

resultsA total of 134 ARPRDEGs were identified and enriched in cell adhesion, leukocyte migration, and wound healing. Three hub genes (Cd44, Icam1, and Tnf) were identified and validated by qRT-PCR and Western blot. Time-course analysis revealed Cd44 was consistently upregulated, Icam1 showed early elevation followed by decline, while Tnf exhibited stage-dependent downregulation, highlighting the impact of injury stage. MR analysis provided genetic evidence supporting potential causal associations: genetically predicted Cd44 and Icam1 expression were suggested as risk factors, while Tnf showed a potential protective effect. A diagnostic model based on these hub genes demonstrated good predictive performance across species. Single-cell transcriptomics further revealed that VISFATIN signaling mediated endothelial–myeloid communication in the high-expression hub-gene group, reinforcing their biological plausibility. In addition, acetaminophen was predicted as a potential candidate through computational drug screening, with exploratory in vivo findings suggesting Cd44-related effects; its therapeutic role requires further pharmacological validation.

conclusionThis study systematically revealed the role of angiogenesis-PCD interplay in SCI and identified Cd44, Icam1, and Tnf as promising candidate diagnostic and therapeutic targets, whose clinical translation requires further validation. By integrating transcriptomic, protein-level, single-cell, clinical, and genetic evidence, our findings provide novel insights into stage-specific mechanisms and potential therapeutic directions, while highlighting the need for further pharmacological validation for SCI.

Indexed as

AngiogenesisApoptosisSpinal Cord InjuriesAnimalsGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenome-Wide Association StudyHumansHyaluronan ReceptorsIntercellular Adhesion Molecule-1MiceProtein Interaction MapsHyaluronan ReceptorsIntercellular Adhesion Molecule-1AngiogenesisMendelian randomizationMolecular DockingProgrammed cell deathSingle-cell sequencingSpinal cord injury (SCI)

Identifiers

PMID41444617
PMCPMC12728996

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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.