ArticleInflammation2018
The Time Course Pathological Changes After Burn Injury.
Article in Inflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Burn Selection: How Fire Injury Shaped Human Evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.Journal of inflammation research · 2020Article
- Severe Burn Injury Progression and Phasic Changes of Gene Expression in Mouse Model.Inflammation · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present study, we aimed to explore the time course pathological changes after burn injury. The time course microarray data of burn injury from the Gene Expression Omnibus (GEO) was further analyzed through bioinformatics analysis. The differential expression genes (DEGs) were identified in the early-stage vs. control groups, middle-stage vs. control groups, and early-stage vs. middle-stage groups after burn injury, followed by pathway enrichment analysis. Gene modules associated with burn injury progression were identified through weighted gene co-expression network analysis (WGCNA), and hub genes were identified via network topology analysis. There were a total of 745 DEGs in the early vs. control group, 1104 DEGs in mid vs. control, and 61 DEGs in early vs. mid group. The significant pathways enriched by DEGs in the middle stage were also enriched by DEGs in the early stage. Immunodeficiency was a significant pathway specific for the DEGs in the early stage. There were 19 overlapped genes, such as myeloperoxidase, transcobalamin, and interferon-induced protein with tetratricopeptide repeats 1, among DEGs in early vs. control, middle vs. control, and early vs. middle groups. WGCNA identified three gene modules that were significantly associated with burn injury progression. Furthermore, we identified several gene modules and biological processes that might be associated with burn injury progression, and such results may be beneficial in understanding the underlying mechanisms and developing novel drugs.
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Registered trials
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