HANYU SHEN1, SHIQI REN2, WEI WANG2, CHENLIN ZHANG3, HAIYAN HAO4, QIUYAN SHEN5, YINONG DUAN1, ZIHENG WANG2,6,*, WENLIANG GE7,*
BIOCELL, Vol.44, No.4, pp. 583-589, 2020, DOI:10.32604/biocell.2020.011345
Abstract Sepsis, characterized as life-threatening sequential organ failure, is caused by a dysregulated host immune
response to a pathogen. Conventional practice for sepsis is to control the inflammation source and administer highgrade antibiotics. However, the mortality rate of sepsis varies from 25–30% and can reach 50% if a septic shock
occurs. In our current study, we used bioinformatics technology to detect immune status profiles in sepsis at the
genomic level. We downloaded and analyzed gene expression profiles of GSE28750 from the Gene Expression
Omnibus (GEO) database to determine differential gene expression and immune status between sepsis and normal
samples. Next, we… More >
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