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Sepsis is the major cause of mortality in the intensive care unit. The aim of this study was to identify the key prognostic biomarkers of abnormal expression and immune infiltration in sepsis. In this study, a total of 36 differentially expressed genes were identified to be mainly involved in a number of immune-related Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. The hub genes (MMP9 and C3AR1) were significantly related to the prognosis of sepsis patients. The immune infiltration analysis indicated a significant difference in the relative cell content of naive B cells, follicular Th cells, activated NK cells, eosinophils, neutrophils and monocytes between sepsis and normal controls. Weighted gene co-expression network analysis and a de-convolution algorithm that quantifies the cellular composition of immune cells were used to analyse the sepsis expression data from the Gene Expression Omnibus database and to identify modules related to differential immune cells. CEBPB is the key immune-related gene that may be involved in sepsis. Gene set enrichment analysis revealed that CEBPB is involved in the processes of T cell selection, B cell–mediated immunity, NK cell activation and pathways of T cells, B cells and NK cells. Therefore, CEBPB may play a key role in the biological and immunological processes of sepsis. [ABSTRACT FROM AUTHOR]

Objectives: Glycated hemoglobin (HbA1c) is associated with an increased risk of cardiovascular disease. The aim of this study was to examine the relationship between HbA1c levels and the complexity of coronary artery lesions among the older patients with diabetes mellitus (DM). Methods: This retrospective study enrolled a total of 3805 consecutive type 2 DM patients aged 60 years and older who underwent their first elective coronary angiography and had their HbA1c levels measured at the Chinese PLA General Hospital between December 2005 and December 2012.The complexity of the coronary artery lesions was evaluated using the Syntax score, and the subjects were divided into three groups according to their HbA1c levels. Logistic regression and Pearson correlation were used to analyze the association between the measured HbA1c levels and Syntax score. Results: The mean age was 72.3±10.6 years. The higher HbA1c levels were significantly associated with higher Syntax score (p<0.001). The unadjusted correlation coefficient of HbA1c levels and the Syntax score was 0. 371 (p<0.001). In addition, the higher HbA1c categories were able to independently predict patients with intermediate or high Syntax score (Syntax score ≥23) after adjustment for age, sex, hypertension, smoking, dyslipidemia and creatinine levels in the logistic regression analysis. Conclusion: HbA1c is significantly associated with the complexity of coronary lesions among older patients with DM. A higher HbA1c value is an independent predictor of the prevalence of complex coronary lesions. Further prospective multi-centre studies are needed to confirm this finding. [ABSTRACT FROM AUTHOR]