ArticleScientific reports2019
Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- Identification of disulfidptosis-related genes and subgroups in spinal cord injury.Spinal cord · 2025Article
- Prioritizing FDA approved therapeutics for treating sepsis phenotypes: A network modeling approach based on neutrophil proteomics.Frontiers in immunology · 2025Article
- Regulation of dynamic spatiotemporal inflammation by nanomaterials in spinal cord injury.Journal of nanobiotechnology · 2024Review
- Neurogenic Lower Urinary Tract Dysfunction in Spinal Dysraphism: Morphological and Molecular Evidence in Children.International journal of molecular sciences · 2023Review
- A reactive oxygen species-responsive hydrogel encapsulated with bone marrow derived stem cells promotes repair and regeneration of spinal cord injury.Bioactive materials · 2023Article
- Sexual dimorphism in neurological function after SCI is associated with disrupted neuroinflammation in both injured spinal cord and brain.Brain, behavior, and immunity · 2022Article
- Using Network Pharmacology to Systematically Decipher the Potential Mechanisms of Jisuikang in the Treatment of Spinal Cord Injury.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Changes in transcriptome profiling during the acute/subacute phases of contusional spinal cord injury in rats.Annals of translational medicine · 2020Article
- Identification of prognostic markers of lung cancer through bioinformatics analysis and in vitro experiments.International journal of oncology · 2020Article
- Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling.Frontiers in pharmacology · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord injury (SCI) leads to reactive inflammation and other harmful events that limit spinal cord regeneration. We propose an approach for studying the mechanisms at the levels of network topology, gene ontology, signaling pathways, and disease inference. We treated inflammatory mediators as toxic chemicals and retrieved the genes and interacting proteins associated with them via a set of biological medical databases and software. We identified >10,000 genes associated with SCI. Tumor necrosis factor (TNF) had the highest scores, and the top 30 were adopted as core data. In the core interacting protein network, TNF and other top 10 nodes were the major hubs. The core members were involved in cellular responses and metabolic processes, as components of the extracellular space and regions, in protein-binding and receptor-binding functions, as well as in the TNF signaling pathway. In addition, both seizures and SCI were highly associated with TNF levels; therefore, for achieving a better curative effect on SCI, TNF and other major hubs should be targeted together according to the theory of network intervention, rather than a single target such as TNF alone. Furthermore, certain drugs used to treat epilepsy could be used to treat SCI as adjuvants.
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