Background: Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020, and it ranks fifth in global incidence. Liver resection or liver transplantation are the two most prominent surgical procedures for treating primary liver cancer. Both inevitably result in HIRI, causing severe complications for patients and affecting their prognosis and quality of survival. Ferroptosis, a newly discovered mode of cell death, is closely related to HIRI. We used bioinformatics analysis to explore the relationship between the two further.Methods: The GEO database dataset GSE112713 and the FerrDB database data were selected to use bioinformatic analysis methods (difference analysis, FRGs identification, GO analysis, KEGG analysis, PPI network construction and analysis, Hub gene screening with GO analysis and KEGG analysis, intergenic interaction prediction, drug-gene interaction prediction, miRNA prediction) for both for correlation analysis. The GEO database dataset GSE15480 was selected for preliminary validation of the screened Hub genes.Results: We analysed the dataset GSE112713 for differential gene expression before and after hepatic ischemia-reperfusion and identified by FRGs, yielding 11 genes. These 11 genes were subjected to GO, and KEGG analyses, and PPI networks were constructed and analysed. We also screened these 11 genes again to obtain 5 Hub genes and performed GO analysis, KEGG analysis, intergenic interaction prediction, drug-gene interaction prediction, and miRNA prediction on these 5 Hub genes. Finally, we obtained preliminary validation of all these 5 Hub genes by dataset GSE15480.Conclusion: There is a close relationship between HIRI and ferroptosis, and inhibition of ferroptosis can potentially be a new approach to mitigate HIRI treatment in the future.
Backgrounds The effect of goal-directed fluid therapy (GDFT) on postoperative cognitive function in elderly patients is unknown. Therefore, we designed the present study to evaluate the effect of permissive high stroke volume variability (SVV)-mediated GDFT on postoperative delirium in elderly laparoscopic hepatectomy patients. Methods In this study, patients were randomly divided into two groups: a pilot group (group S) with SVV-guided rehydration and a control group (group C) with Central venous pressure (CVP)-guided rehydration. Group S: fluid therapy according to the target SVV value; Group C: fluid therapy according to the CVP value intraoperative parameters and postoperative outcomes were recorded for all patients. The primary outcome variables were cerebral metabolic and injury indicators, volume of access, stress and inflammatory indicators. Results Brain metabolic indexes: During operation, rSO2%max in group S was significantly lower than that in group C (7.5% vs 12.3%), and O2ER in group S was lower than that in group C at T2-4, P < 0.05. Brain injury index: S100β protein of group C at 1 day and 3 days after surgery and NSE was significantly higher than group S, P < 0.05. The incidence of POD in group S was significantly lower than that in group C (10% VS 20%), P < 0.05. The length of hospital stay was significantly less than group C (9.3 ± 1.8 VS 12.4 ± 1.9), P < 0.05. Conclusions In laparoscopic hepatectomy in the elderly, the use of permissive high SVV during hepatectomy can ensure blood perfusion of vital organs, but also ensure less tissue bleeding, reduce cerebral oxygen metabolism, reduce the inflammatory response, and reduce the occurrence of postoperative delirium, with certain safety and feasibility.
Background Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020. Liver resection or liver transplantation are the two most prominent modalities for the treatment of primary liver cancer, and both inevitably result in HIRI, causing serious complications for patients. Ferroptosis, a newly discovered mode of cell death, is closely related to HIRI. We further investigated the relationship between the two by means of bioinformatics analysis. Methods The GEO database dataset GSE112713 and FerrDB database data were selected for analysis using bioinformatic analysis methods (differential analysis, FRGs identification, GO analysis, KEGG analysis, PPI network construction and analysis, Hub gene screening with GO analysis and KEGG analysis, inter-gene interaction prediction, drug-gene interaction prediction, miRNA prediction). Results Volcano, Venn, bar chart, bubble chart, PPI network, and Cytoscape network plots were plotted. Conclusion There is a close relationship between HIRI and ferroptosis, and inhibition of ferroptosis could be a new approach to mitigate HIRI treatment.
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