Objective: To compare the patency of graft and anastomoses in sequential and individual coronary artery bypass grafting (CABG). Methods: Our study used the Cochrane Library database, Excerpta Medica database, Web of Science, and PubMed. Studies comparing the outcomes of graft or anastomosis patency were assessed independently by two reviewers to identify the literature of satisfaction. We used Review Manager and STATA software for statistical analysis. Results: Fifteen cohort studies were analyzed, including 10681 patients, 12957 grafts, and 4341 anastomoses, under sequential and individual CABG. Compared with the sequential group, the individual one is statistically significant in the graft patency [risk ratio (RR)=1.07, 95% confidence interval (CI ) 1.01–1.13; p=0.02] and anastomosis patency (RR=1.06, 95% CI 1.01–1.12; p=0.005). Conclusion: Our study suggested that the patency of the individual group, in terms of graft and anastomosis patency, is better than that of the sequential one.
Immune cells and immune microenvironment play important in the evolution of sepsis. This study aimed to explore hub genes related to the abundance of immune cell infiltration in sepsis. The GEOquery package is used to download and organize data from the GEO database. A total of 61 differentially expressed genes (DEGs) between sepsis samples and normal samples were obtained through the ‘limma’ package. T cells, natural killer (NK) cells, monocytes, megakaryocytes, dendritic cells (DCs), and B cells formed six distinct clusters on the t-distributed stochastic neighbor embedding (t-SNE) plot generated using the Seurat R package. Gene set enrichment analysis (GSEA) enrichment analysis showed that sepsis samples and normal samples were related to Neutrophil Degranulation, Modulators of Tcr Signaling and T Cell Activation, IL 17 Pathway, T Cell Receptor Signaling Pathway, Ctl Pathway, Immunoregulatory Interactions Between a Lymphoid and A Non-Lymphoid Cell. GO analysis and KEGG analysis of immune-related genes showed that the intersection genes were mainly associated with Immune-related signaling pathways. Seven hub genes (CD28, CD3D, CD2, CD4, IL7R, LCK, and CD3E) were screened using Maximal Clique Centrality, Maximum neighborhood component, and Density of Maximum Neighborhood Component algorithms. The lower expression of the six hub genes (CD28, CD3D, CD4, IL7R, LCK, and CD3E) was observed in sepsis samples. We observed the significant difference of several immune cell between sepsis samples and control samples. Finally, we carried out in vivo animal experiments, including Western blotting, flow cytometry, Elisa, and qPCR assays to detect the concentration and the expression of several immune factors.
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