Clear Search sequence regions


  • CD3D (1)
  • DEGs (3)
  • diagnosis (1)
  • gene (4)
  • gram (20)
  • humans (1)
  • IRAK3 (1)
  • pathogenesis (1)
  • patients (6)
  • peripheral blood mononuclear cells (4)
  • sepsis (12)
  • Sizes of these terms reflect their relevance to your search.

    To investigate the functional pathways enriched and differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMCs) of patients with gram-positive and gram-negative sepsis. Dataset GSE9960 obtained from NCBI GEO database containing PBMC samples from 16 non-infectious systematic inflammatory response syndrome (SIRS) patients, 17 gram-positive septic patients and 18 gram-negative septic patients were included in the study. Functional pathway annotations were conducted by gene set enrichment analysis and weighted gene co-expression network analysis. DEGs were filtered and master DEGs were then validated in PBMCs of gram-positive septic, gram-negative septic and non-infectious SIRS patients. The enriched gene sets in gram-positive sepsis and gram-negative sepsis were significantly different. The results indicated the opposite co-expression networks in SIRS and gram-negative sepsis, and the entirely different co-expression networks in gram-positive and gram-negative sepsis. Furthermore, we validated that TYMS was up-regulated in gram-positive sepsis (P<0.05), CD3D was down-regulated in gram-negative sepsis (P<0.01), while IRAK3 was up-regulated in gram-negative sepsis (P<0.05). The results indicate that there are differences in the mechanism and pathogenesis of gram-positive and gram-negative sepsis, which may provide potential markers for sepsis diagnosis and empirical antimicrobial therapy.

    Citation

    Lu Li, Junjun Fang, Zhitao Li, Leixing Shen, Guobin Wang, Shuiqiao Fu. Master genes and co-expression network analysis in peripheral blood mononuclear cells of patients with gram-positive and gram-negative sepsis]. Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences. 2020 Dec 25;49(6):732-742

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 33448176

    View Full Text