https://www.selleckchem.com/products/Dapagliflozin.html A flow cytometric score (FCM-score) to diagnose myelodysplastic syndromes (MDS) was proposed in 2012 that used four parameters to distinguish low-grade MDS from non-clonal cytopenias. This study was carried out to further simplify the method for better clinical application. Combinations of antibodies CD34, CD19, CD33 and CD45 were analyzed for the four parameters. Compared with the published method that used low side scatter (SSC) and CD45 expression to separate B lymphocyte progenitor cells and myeloblasts, our method (MFCM-Score) used CD19 and CD33 to separate B lymphocyte progenitor cells and myeloblasts within the CD34+CD45dimm population. Subjects were analyzed and compared using the two schemes. In addition, the relationships between the MFCM-Score and the Revised International Prognostic Scoring System (IPSS-R) for MDS were analyzed. There was no significant difference between the MFCM-score and FCM-score in the diagnosis of MDS (P > 0.05); MFCM-score had a positive correlation with the IPSS-R prognosis classification for MDS (Spearman r = 0.848, P less then 0.001). All parameters in the MFCM-score were positively correlated to the IPSS-R grades in MDS (P less then 0.01). Our work demonstrates that the FCM score using four parameters is simple and practical for screening MDS patients and the MFCM-score could be used to evaluate the risk of MDS patients.Macrophages participate in all stages of sepsis and affect immune homeostasis and inflammatory processes. Small ubiquitin-like modifier (SUMO) protease SENP1 plays an important role in cellular inflammation by regulating proteins in SUMOylation. However, the roles and related mechanisms of SENP1 in macrophage inflammation during sepsis are largely unknown. In the present study, SENP1 expression was significantly promoted in lipopolysaccharide (LPS)-induced RAW 264.7 cells; furthermore, the knock down of SENP1 reduced the expression of inflammatory cytokine