3-O-Methyl-D-Glucose Blunts Cold Ischemia Damage in Kidney via Inhibiting Ferroptosis.

Background: The glucose derivative 3-O-methyl-D-glucose (OMG) is used as a cryoprotectant in freezing cells. However, its protective role and the related mechanism in static cold storage (CS) of organs are unknown. The present study aimed to investigate the effect of OMG on cod ischemia damage in cold preservation of donor kidney.

Effects of prolonged cold ischemia on the DCD kidney function and Inflammasome expression in rat kidney transplants.

Background: Acute kidney injury (AKI) is the main reason for the bad outcome of the donation of circulatory death (DCD) kidney after transplantation. Prolonged cold storage (CS) is a risk factor for the occurrence of the delayed graft function in DCD kidney. The protein NLR-domain containing receptor 3 (NLRP3) plays a crucial role in renal ischemia reperfusion injury by triggering inflammasome formation.

[Effect of 5-aza-2'-deoxycytidine on growth and methylation of RUNX3 gene in human pancreatic cancer cell line MiaPaca2].

Objective: To investigate the effect of demethylating agent 5-aza-2'-deoxycytidine (5-Aza-CdR) on the growth of human pancreatic cancer cell line MiaPaca2 and the expression and methylation of tumor suppressor gene RUNX3.

Methods: Human pancreatic cancer cell line MiaPaca2 cells were treated with different concentrations of 5-Aza-CdR. Morphological changes of MiaPaca2 cells were observed by light microscopy.

MicroRNA-182 promotes cell growth, invasion, and chemoresistance by targeting programmed cell death 4 (PDCD4) in human ovarian carcinomas.

As an important tumor suppressor, programmed cell death 4 (PDCD4) influences transcription and translation of multiple genes, and modulates different signal transduction pathways. However, the upstream regulation of this gene is largely unknown. In this study, we found that microRNA-182 (miRNA-182, miR-182) was upregulated, whereas PDCD4 was downregulated in ovarian cancer tissues and cell lines.

[Identification of gastric cancer-related genes by multiple high throughput analysis and data mining].

Objective: To investigate gastric cancer-related genes by combined multiple high throughput analysis and data mining, and to further identify gene markers that may be useful in the diagnosis and treatment of gastric cancer.

Methods: Data of expressed sequence tags (EST) and serial analysis of gene expression (SAGE) in Cancer Genome Anatomy Project (CGAP) were employed to analyze differential gene expression between normal and cancerous gastric epithelium,the obtained genes were further analyzed by virtual Northern blotting and compared with microarray data from Stanford Microarray Database (SMD).

Results: NCBI digital differential display (DDD), cDNA digital gene expression displayed (DGED) and SAGE DGED produced 165,286 and 181 differential expression genes.