Cargando…

Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury

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 t...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Weiping, Chen, Xuning, Ning, Le, Jin, Kan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354014/
https://www.ncbi.nlm.nih.gov/pubmed/30700814
http://dx.doi.org/10.1038/s41598-018-37357-1
_version_ 1783391087453274112
author Zhu, Weiping
Chen, Xuning
Ning, Le
Jin, Kan
author_facet Zhu, Weiping
Chen, Xuning
Ning, Le
Jin, Kan
author_sort Zhu, Weiping
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6354014
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-63540142019-02-01 Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury Zhu, Weiping Chen, Xuning Ning, Le Jin, Kan Sci Rep Article 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. Nature Publishing Group UK 2019-01-30 /pmc/articles/PMC6354014/ /pubmed/30700814 http://dx.doi.org/10.1038/s41598-018-37357-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhu, Weiping
Chen, Xuning
Ning, Le
Jin, Kan
Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title_full Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title_fullStr Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title_full_unstemmed Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title_short Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury
title_sort network analysis reveals tnf as a major hub of reactive inflammation following spinal cord injury
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354014/
https://www.ncbi.nlm.nih.gov/pubmed/30700814
http://dx.doi.org/10.1038/s41598-018-37357-1
work_keys_str_mv AT zhuweiping networkanalysisrevealstnfasamajorhubofreactiveinflammationfollowingspinalcordinjury
AT chenxuning networkanalysisrevealstnfasamajorhubofreactiveinflammationfollowingspinalcordinjury
AT ningle networkanalysisrevealstnfasamajorhubofreactiveinflammationfollowingspinalcordinjury
AT jinkan networkanalysisrevealstnfasamajorhubofreactiveinflammationfollowingspinalcordinjury