Anti-IL1R2 monoclonal antibody, clone 4D7

Gliomas account for a quarter of all primary brain and central nervous system tumors, and are always followed by a high mortality rate and very low life expectancy. However, genetic alterations nor molecular pathogenesis have not been clearly defined in gliomas. Herein, we applied a bioinformatics analysis to identify diagnostic biomarkers and reveal potential therapeutic targets for gliomas. In the present study, the microarray data set GSE31095 database was downloaded from the Gene Expression Omnibus (GEO), and a total of 244 DEGs were screened out from blood samples of human glioma patients, including 183 upregulated DEGs and 61 downregulated DEGs. Of which, CX3CR1, GZMB, and GZMA were the top three most up-regulated DEGs; WFDC1, FKBP5, and IL1R2 were the top three most down-regulated DEGs. Additionally, GO and KEGG analysis revealed that 244 DEGs were mainly enriched in 11 terms and 10 pathways. GZMB, CD48, and GZMA were screened as the top 3 hub genes in protein-protein interaction networks. Survival analysis by UALCAN showed high expression of CD48, GZMA, GZMH, IL2RB, KLRB1, LCK, LCP1, LEF1, NKG7, RPL18, TRAF3IP3 and ZAP70 that presented a better overall survival. Through identifying these candidate genes and pathways by bioinformatics analysis, this study sheds light on the pathogenic and prognostic molecular mechanisms of gliomas and may help us understand the underlying mechanism of gliomas, furthermore, providing clear candidates for clinical application.

This study was undertaken to explore the value of interleukin-1 receptor 2 (IL1R2) as a novel potential biomarker for diagnosis of sepsis and discrimination of gram-negative (G(-))/gram-positive (G(+)) bacterial sepsis. The study was performed in Kunming mice and septic patients. Inactive Escherichia coli or Staphylococcus aureus were used to stimulate Kunming mice (10(9)CFU/kg). In clinical study, septic patients with different pathogen infection were studied, and healthy volunteers and patients with systemic inflammatory response syndrome without definite infection were enrolled as control. IL1R2 transcriptions of human subjects' peripheral leukocytes were measured by real-time quantitative polymerase chain reaction assay. IL1R2 serum concentrations of mice and human subjects were measured by enzyme-linked immunosorbent assay. The value of IL1R2 as a biomarker was compared with procalcitonin (PCT), C-reactive protein (CRP), and Acute Physiology and Chronic Health Evaluation II (APACHE II). The results showed that IL1R2 expression was upregulated in mice treated with inactive Escherichia coli and septic patients. The elevation of serum IL1R2 was more significant in septic patients infected by Escherichia coli or G(-) bacteria than in those infected by Staphylococcus aureus or G(+) bacteria. For sepsis diagnosis and G(-)/G(+) bacterial sepsis discrimination, serum IL1R2 was more sensitive and specific than the traditional biomarkers such as PCT, CRP, and APACHE II as shown by the receiver operating characteristic curves. It was suggested that IL1R2 was a potential biomarker for diagnosis and G(-)/G(+) bacterial differentiation in sepsis.