Objective. To investigate the roles and possible mechanisms of SIRT2 and KLF4 in the development and progression of myeloma. Methods. Rt-PCR was used to detect SIRT2 in myeloma samples from patients and myeloma cells, the expression level of KLF4 in myeloma cells, and the effect of downregulation of SIRT2 expression on KLF4 expression level. MTT assay and wound-healing assay were used to observe the proliferation and migration of U266cells transient transfected with Sirt2 inhibitors. Results. SIRT2 is highly expressed in myeloma, but KLF4 was down. Downregulation of SIRT2 expression stimulated the expression level of KLF4. Reduced SIRT2 activity results in the release of KLF4 expression, which inhibits the proliferation and migration of myeloma cells. Conclusion. SIRT2-KLF4 combination plays an important role in the occurrence and development of myeloma.
Objective. To investigate the role of nestin in regulating Keap1-nuclear factor erythroid-2-related factor 2 (Nrf2)-heme oxygenase-1-(HO-1-) mediated antioxidant responses in stress and malignant hematopoiesis. Methods. The mRNA of peripheral blood mononuclear cells was extracted from 20 leukemia patients and 20 healthy people who were hospitalized in the Hematology Department of our hospital from September 2020 to December 2021, and the mRNA levels of nestin, Keap1, Nrf2, and HO-1 were detected by real-time- (RT-) PCR. Results. Compared with healthy controls, the mRNA of nestin, Keap1, Nrf2, and HO-1 in peripheral blood mononuclear cells of leukemia patients was significantly upregulated. Conclusion. The occurrence and development of leukemia are closely related to nestin regulating Keap1-Nrf2-Ho-1 signal pathway. Research Significance. This study determined the effect of nestin on the biological behavior of leukemia cells and its possible mechanism and confirmed that nestin may be a marker of tumor and tumor blood vessels.
Abstract:Background: Sickle cell disease (SCD) is one of the most common genetic blood disorders. Identifying pathway aberrance in an individual SCD contributes to the understanding of disease pathogenesis and the promotion of personalized therapy. Here we proposed an individualized pathway aberrance method to identify the disturbed pathways in SCD. Methods: Based on the transcriptome data and pathway data, an individualized pathway aberrance method was implemented to identify the altered pathways in SCD, which contained four steps: data preprocessing, gene-level statistics, pathway-level statistics, and significant analysis. The changed percentage of altered pathways in SCD individuals was calculated, and a differentially expressed gene (DEG)-based pathway enrichment analysis was performed to validate the results. Results: We identified 618 disturbed pathways between normal and SCD conditions. Among them, 6 pathways were altered in > 80% SCD individuals. Meanwhile, forty-six DEGs were identified between normal and SCD conditions, and were enriched in heme biosynthesis. Relative to DEGbased pathway analysis, the new method presented richer results and more extensive application. Conclusion: This study predicted several disturbed pathways via detecting pathway aberrance on a personalized basis. The results might provide new sights into the pathogenesis of SCD and facilitate the application of custom treatment for SCD.
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