ArticleMolecular neurobiology2025
Integrated Bioinformatic Analysis and Experimental Validation for Crosstalk Among Various Forms of Cell Death in Spinal Cord Injury.
Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Mitochondrial homeostasis imbalance-triggered PANoptosis in traumatic brain and spinal cord injury: from mechanism to therapeutic strategies.Redox biology · 2026Review
- Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Neural cell death is pivotal in the pathogenesis of spinal cord injury (SCI). Recent studies have revealed a spectrum of cell death modalities in SCI, extending beyond traditional apoptosis and necrosis. Yet, the interplay between these diverse forms of cell death in SCI remains elusive. Is simultaneous intervention in various forms of cell death necessary for formulating effective therapeutic strategies for post-SCI neural cell death? In this study, we analyzed transcriptomic data from a public database, focusing on murine spinal cord tissue after SCI. This analysis identified 33 differentially expressed death-related genes (DEDRGs) active in both the acute and subacute phases of SCI. Enrichment analysis using the KEGG revealed that 15 of these DEDRGs were enriched in pathways related to apoptosis (Mcl1, Ripk1, Ctsb, Fos, Ctsd, Jun, Akt3, Casp8, Mapk8), ferroptosis (Acsl3, Slc39a14, Slc3a2), necroptosis (Ripk1, Casp1, Casp8, Mapk8), and cellular senescence (Map2k3, Akt3, Mapk14). Subsequently, we established a murine SCI model and used WB and IF to confirm the presence of apoptosis, ferroptosis, necroptosis, and cellular senescence at 1, 3, and 7 days after SCI. Furthermore, we utilized a single-cell database to elucidate the communication dynamics between immune and neural cells at these time intervals. This facilitated the identification of pivotal immune-related receptor-ligand pairs and their correlation with key DEDRGs. Our comprehensive analysis sheds light on the complex interplay between the immune cells and neural cells following SCI, underscoring the critical role of receptor-ligand pairs in neural-immune communication. Finally, we selectively targeted these 15 DEDRGs for gene ontology (GO) functional enrichment analysis. We then constructed an integrated mRNA-miRNA-lncRNA regulatory network and predicted potential pharmaceutical interventions. Notably, our findings suggest a prevalent co-occurrence and mutual influence among various cell death forms after SCI. Consequently, we advocate that therapeutic research strategies for SCI should encompass a multi-target approach, addressing several forms of cell death concurrently.
Indexed as
Identifiers
41405788What OpenQuestion holds
Registered trials
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.