Abstract:Background
Burn patients are prone to infection as well as immunosuppression, which is a significant cause of death. Currently, there is a lack of prognostic biomarkers for immunosuppression in burn patients. This study was conducted to identify immune-related genes that are prognosis biomarkers in post-burn immunosuppression and potential targets for immunotherapy.
Methods
We downloaded the gene expression profiles and clinical data of 213 burn patients and 79 healthy samples from the Gene Expression Omnibu… Show more
“…In addition, the MAPK signaling pathway also plays an important role in the process of burn injury ( 24 , 25 ). These inflammatory mediators and signaling pathways can also be targets for burn treatment ( 26 ). Burn injury causes changes in the transcriptome of 80% of leukocytes, which stimulates innate genes (pro - and anti-inflammatory cytokines) and inhibits adaptive immune responses ( 27 ).…”
Background: Severe burns are a leading cause of injuries worldwide and are usually accompanied by considerable morbidity and mortality. The purpose of this study was to investigate the changes of gene expression in blood and skin at different times after severe burn.Methods: Firstly, the gene expression profiles of different burn time samples in GSE19743 and GSE8056 were analyzed. Secondly, the maladjusted gene network was identified by protein-protein interaction (PPI) network, and the genes in the network were enriched and analyzed. In addition, the key dysfunctional genes were identified by betweenness algorithm, and evaluated by survival analysis, Cox analysis, receiver operating characteristic (ROC) analysis. Finally, crosstalk analysis and enrichment analysis were carried out between the blood-and skin-specific differentially expressed genes (DEGs) at different burn times.
Results:The results showed that there were common DEGs in the blood and skin at different burn times.Importantly, we screened out the key dysfunctional genes BIRC5, NCAM1, PCNA, TOP2A, and VEGFA, which were related to the course of burns. Enrichment analysis showed that these maladjusted genes were mainly involved in the immune inflammation-related signal pathway. Additionally, significant crosstalk was identified between blood-and skin-specific genes at different burn times, especially in the blood. The signal pathways involved in specific genes represent their own pathological characteristics.Conclusions: Both blood and skin tissues express common pathological changes and unique molecular mechanisms at different times after burn injury. The results of this study provide guidance for clinical personalized treatment.
“…In addition, the MAPK signaling pathway also plays an important role in the process of burn injury ( 24 , 25 ). These inflammatory mediators and signaling pathways can also be targets for burn treatment ( 26 ). Burn injury causes changes in the transcriptome of 80% of leukocytes, which stimulates innate genes (pro - and anti-inflammatory cytokines) and inhibits adaptive immune responses ( 27 ).…”
Background: Severe burns are a leading cause of injuries worldwide and are usually accompanied by considerable morbidity and mortality. The purpose of this study was to investigate the changes of gene expression in blood and skin at different times after severe burn.Methods: Firstly, the gene expression profiles of different burn time samples in GSE19743 and GSE8056 were analyzed. Secondly, the maladjusted gene network was identified by protein-protein interaction (PPI) network, and the genes in the network were enriched and analyzed. In addition, the key dysfunctional genes were identified by betweenness algorithm, and evaluated by survival analysis, Cox analysis, receiver operating characteristic (ROC) analysis. Finally, crosstalk analysis and enrichment analysis were carried out between the blood-and skin-specific differentially expressed genes (DEGs) at different burn times.
Results:The results showed that there were common DEGs in the blood and skin at different burn times.Importantly, we screened out the key dysfunctional genes BIRC5, NCAM1, PCNA, TOP2A, and VEGFA, which were related to the course of burns. Enrichment analysis showed that these maladjusted genes were mainly involved in the immune inflammation-related signal pathway. Additionally, significant crosstalk was identified between blood-and skin-specific genes at different burn times, especially in the blood. The signal pathways involved in specific genes represent their own pathological characteristics.Conclusions: Both blood and skin tissues express common pathological changes and unique molecular mechanisms at different times after burn injury. The results of this study provide guidance for clinical personalized treatment.
“…Expression of key genes was associated with the percentage of Th cells (CD4+) and survival and was a good predictor of burn prognosis. 56 In addition, proteomic analysis showed that hemoglobin Subunit α 1(HBA1), Transthyretin (TTR), and Serpin Family F Member 2 (SERPINF2) correlated with mortality outcomes, and are promising markers for the future. 57 These genetic and protein expression information are mainly studies that capture changes in the acute phase and support the immune response that has been discussed above.…”
Section: Genetic Analysis Of Burn Patientsmentioning
Immune responses that occur following burn injury comprise a series of reactions that are activated in response to damaged autologous tissues, followed by removal of damaged tissues and foreign pathogens such as invading bacteria, and tissue repair. These immune responses are considered to be programmed in living organisms. Developments of modern medicine have led to the saving of burned patients who could not be cured previously; however, the programmed response is no longer able to keep up, and various problems have arisen. This paper describes the mechanism of immune response specific to burn injury and the emerging concept of persistent inflammation, immunosuppression, and catabolism syndrome.
“…Besides, preceding researches have illustrated that more than 60% of deaths in burn patients are associated with infection-related complications, primarily on account of antibiotic resistance. Immune disorder after burn is an signi cant reason of infection [3]. Therefore, screening diagnostic markers of burn immune dysfunction can be used to prevent serious complications and death.…”
Background: Burns are an underrated injury that can affect anyone, anytime and anywhere. Therefore, screening immune-related diagnostic markers of burn can be used to prevent serious complications and death.Methods: GEO database obtains GSE19743 and GSE37069, and uses the GPL570 platform. Cibersort algorithm was used to calculate the figure of immune cells in healthy control group and burn group. Immune cells were identified by Least Absolute Shrinkage and Selection Operator (LASSO) regression. “RobustRankAggreg” method was used to screen differentially expressed genes. DEGs' functional correlation was analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Possible biomarkers were identified by Cytoscape's cytoHubba, and the diagnostic result was predicted Receiver Operator Characteristic Curve (ROC) analysis. Spearman's rank correlation analysis in R package was used to learn the correlation between the identified biomarkers and infiltrating immune cells. Results: After joint analysis of the two sets of data, 60 DEGs were obtained, of which 42 increased and 18 decreased. Generally speaking, the function of DEG is related to immune cells. In CytoHubba, 6 hub genes were obtained through the intersection of 10 algorithms. GZMB, OLFM4, ELANE, MMP9, LCN2 and CEACAM8 showed good specificity and sensitivity, respectively. The correlation between 6 effective biomarkers and 12 meaningfully different immune cells in burn group was analyzed. The outcomes demonstrated that LCN2 was correlated with M0 macrophages positively (R=0. 594, P < 0.001).Conclusion: CEACAM8 and LCN2 have great potential as new diagnostic biomarkers of immune dysfunction after burn.
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