Bioinformatics Analysis of Core Genes and Key Pathways in Myelodysplastic Syndrome / 中国实验血液学杂志

OBJECTIVE@#To screen differentially expressed gene (DEG) related to myelodysplastic syndrome (MDS) based on Gene Expression Omnibus (GEO) database, and explore the core genes and pathogenesis of MDS by analyzing the biological functions and related signaling pathways of DEG.@*METHODS@#The expression profiles of GSE4619, GSE19429, GSE58831 including MDS patients and normal controls were downloaded from GEO database. The gene expression analysis tool (GEO2R) of GEO database was used to screen DEG according to | log FC (fold change) |≥1 and P<0.01. David online database was used to annotate gene ontology function (GO). Metascape online database was used to enrich and analyze differential genes in Kyoto Encyclopedia of Genes and Genomes (KEGG). The protein-protein interaction network (PPI) was constructed by using STRING database. CytoHubba and Mcode plug-ins of Cytoscape were used to analyze the key gene clusters and hub genes. R language was used to diagnose hub genes and draw the ROC curve. GSEA enrichment analysis was performed on GSE19429 according to the expression of LEF1.@*RESULTS@#A total of 74 co-DEG were identified, including 14 up-regulated genes and 60 down regulated genes. GO enrichment analysis indicated that BP of down regulated genes was mainly enriched in the transcription and regulation of RNA polymerase II promoter, negative regulation of cell proliferation, and immune response. CC of down regulated genes was mainly enriched in the nucleus, transcription factor complexes, and adhesion spots. MF was mainly enriched in protein binding, DNA binding, and β-catenin binding. KEGG pathway was enriched in primary immunodeficiency, Hippo signaling pathway, cAMP signaling pathway, transcriptional mis-regulation in cancer and hematopoietic cell lineage. BP of up-regulated genes was mainly enriched in type I interferon signaling pathway and viral response. CC was mainly enriched in cytoplasm. MF was mainly enriched in RNA binding. Ten hub genes and three important gene clusters were screened by STRING database and Cytoscape software. The functions of the three key gene clusters were closely related to immune regulation. ROC analysis showed that the hub genes had a good diagnostic significance for MDS. GSEA analysis indicated that LEF1 may affect the normal function of hematopoietic stem cells by regulating inflammatory reaction, which further revealed the pathogenesis of MDS.@*CONCLUSION@#Bioinformatics can effectively screen the core genes and key signaling pathways of MDS, which provides a new strategy for the diagnosis and treatment of MDS.

Expression of CD80 and CD86 on dendritic cells of patients with immune related pancytopenia and its clinical significance / 中华血液学杂志

<p><b>OBJECTIVE</b>To investigate the function of dendritic cells (DC) of patients with immune related pancytopenia (IRP) and explore the role of DC in IRP.</p><p><b>METHODS</b>The expression of CD80 and CD86 on myeloid DC (mDC, Lin-HLA-DR(+) CD11c(+) cells) and plasmacytoid DC (pDC, Lin-HLA-DR(+) CD123(+) cells) of 65 IRP (37 untreated and 28 remitted) patients and 17 healthy controls were analyzed by flow cytometry.</p><p><b>RESULTS</b>The expression of CD86 on pDC was (82.47 ± 13.17)% in untreated group and (60.08 ± 14.29)% in remission group, which were significantly higher than that of controls (47.95 ± 18.59)% (P < 0.05), while the expression in untreated group was higher than that of remission group (P < 0.05). The expression of CD80 on pDC was (6.31 ± 4.49)% in untreated group, which was significantly higher than that of remitted patients (3.09 ± 2.93)% and controls (2.33 ± 2.25)% (P < 0.05). The expression of CD86 on mDC was (97.06 ± 4.82)% in untreated group and (91.35 ± 12.20)% in control group, while the expression in untreated group was higher than that of control group (P < 0.05). The expression of CD80 on mDC was (6.20 ± 5.44)% in untreated group and (3.97 ± 3.24)% in remission group, which were significantly higher than that of controls (1.86 ± 1.73)% (P < 0.05). The expression of CD86 on pDC was negatively correlated to Th1/Th2 (r = -0.733, P < 0.05), it was positively correlated to the antibody on membrane of BMMNC (r = 0.283, P < 0.05) and the quantity of CD5(+)B cells (r = 0.436, P < 0.05), while it was negatively correlated to the level of hemoglobin, platelets and white blood cells (r = -0.539, P < 0.05; r = -0.519, P < 0.05; r = -0.567, P < 0.05, respectively). The expression of CD80 on pDC was negatively correlated to the level of hemoglobin and platelets (r = -0.431, P < 0.05; r = -0.464, P < 0.05).</p><p><b>CONCLUSION</b>The function of pDC in PB of IRP were strengthened, which was relevant to the immunopathogenesis of IRP.</p>

Quantity and subtypes of dendritic cells in patients with immune related pancytopenia and their clinical significance / 中国实验血液学杂志

This study was aimed to investigate the quantity and subtypes of dendritic cells (DC) in patients with immune related pancytopenia (IRP) and to explore the role of DC in pathogenesis of IRP. The quantity of plasmacytoid dendritic cells (pDC, Lin(-)HLA-DR(+) CD123(+) cells) and myeloid dendritic cells (mDC, Lin(-)HLA-DR(+) CD11c(+)cells) in peripheral blood of 65 patients with IRP (37 new diagnosed and 28 remitted) and 17 healthy controls were analyzed by flow cytometry. The results indicated that the ratio of pDC in peripheral blood mononuclear cells (PBMNC) was (0.91 ± 064)% in new diagnosed group, which was significantly higher than that in remission group (0.39 ± 0.11)% and control group (0.29 ± 0.13)% (P < 0.01), while this ratio of pDC in remission group was higher than that in control group (P < 0.05). The ratio of mDC in PBMNC was (0.21 ± 0.20)% in new diagnosed group and (0.34 ± 0.21)% in remission group respectively, there was no statistical difference as compared with control group (0.29 ± 0.09)% (P > 0.05). The ratio of pDC to mDC in new diagnosed group was 6.75 ± 7.11, which was significantly higher than that in remission group (1.55 ± 0.93) and control group (1.07 ± 0.43, P < 0.01), there was no statistical difference between the ratio of remission group and control group (P > 0.05). The ratio of pDC in PBMNC of IRP group negatively correlated to ratio of Th1/Th2 (r = -0.347, P < 0.05), and positively correlated to the ratio of auto-antibody on membrane of BMMNC (r = 0.606, P < 0.05) and to the quantity of CD5(+)B cells (r = 0.709, P < 0.05), while it negatively correlated to the levels of hemoglobin (r = -0.381, P < 0.01) and platelets (r = -0.343, P < 0.01). The ratio of mDC in PBMNC positively correlated to the ratio of Th1/Th2 (r = 0.595, P < 0.05) and the level of hemoglobin (r = 0.292, P < 0.05). The ratio of pDC/mDC negatively correlated to ratio of Th1/Th2 (r = -0.395, P < 0.05), it positively correlated to the level of antibody on membrane of BMMNC (r = 0.421, P < 0.05) and the quantity of CD5(+)B cells (r = 0.423, P < 0.05), while it negatively correlated to the levels of hemoglobin (r = -0.304, P < 0.05) and platelets (r = -0.287, P < 0.05). It is concluded that the quantity of pDC in peripheral blood of IRP patients increases, which may be related to the immunopathogenesis of IRP.