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

Spinal 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. We 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. A 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. This 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.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2025-12-24
DOI
https://doi.org/10.1186/s12967-025-07405-2
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Shihong Li, L H Wang, Longfei Zhang, Zifeng Mai et al.
Journal of Translational Medicine
Spinal Cord Injury Research
article

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

Shihong Li, L H Wang, Longfei Zhang, Zifeng Mai, Maolin Zhong, Feng Lu, Junkai He
article en

Abstract

Spinal 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. We 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. A 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. This 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.

Journal of Translational MedicineVol. 23(1)
Ganzhou People's Hospital (CN), Gannan Medical University (CN), First Affiliated Hospital of Gannan Medical University (CN)
Good health and well-being
Openalex Percentile: Top 30%
Spinal Cord Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.