Notes

IgG4-related abdomen muscle sore with a kidney pseudotumor as well as multiple renal rim-like lesions on the skin: An uncommon indication of IgG4-related illness.
Here, we present a 22-year-old female patient with adult-onset Still's disease (AOSD) who was newly diagnosed in the setting of secondary macrophage activation syndrome (MAS), a rare, life-threatening inflammatory disease with 50% mortality due to multi-organ failure. She met the diagnostic criteria of AOSD and MAS, while genetic testing excluded primary causes of MAS. She had high fevers, anemia, thrombocytopenia, splenomegaly, hematophagocytosis, and elevated serum ferritin (37,950 ng/mL) and CD25 levels (11,870 pg/mL), which remained unresponsive to corticosteroids and anakinra. Her serum interferon gamma (IFN-γ) levels were elevated (7 pg/mL). She was markedly responsive to IFN-γ blockade with emapalumab that eliminated her fevers and all MAS-associated laboratory abnormalities. This report provides initial evidence for therapeutic efficacy for IFN-γ blockade in AOSD and secondary MAS.
Medulloblastoma is the most common malignant brain tumor in children. Although the 5-year survival rate is high, patients with relapsed medulloblastoma have a guarded prognosis. HOX transcript antisense RNA (HOTAIR) has been proved to be related to the metastasis of various tumors. Therefore, the molecular mechanism of HOTAIR in medulloblastoma cells was investigated in this study.

HOTAIR was stably silenced in medulloblastoma cells (Daoy and D341). #link# Cell proliferation and apoptosis were detected by 5'-Bromo-2'-deoxyuridine (BrdU) staining, Hoechst 33342 staining, immunohistochemical (IHC), Terminal-deoxynucleotidyl transferase-mediated nick end labeling (TUNEL) and flow cytometry, respectively. The targeted relationship between HOTAIR/Cyclin-dependent kinase 4 (CDK4) and miR-483-3p were predicted by bioinformatics and confirmed by luciferase reporter assay. Balb/C nude mice were inoculated with shRNA-HOTAIR transfected Daoy cells.

We found that the down-regulation of HOTAIR inhibited proliferation and induced apoptosis. Sh-RNA-HOTAIR also inhibited the expression of CKD4. The CDK4 dependent increase of cell proliferation and decrease of cell apoptosis were reversed by shRNA-HOTAIR. Finally, a xenograft model of medulloblastoma in nude mice was built, and the effect of shRNA-HOTAIR on the growth of tumors was analyzed by RT-PCR, immunofluorescence staining, and TUNEL staining. The data suggested interference of HOTAIR inhibited the growth, tumor weight, cell proliferation, and promoted cell apoptosis.

Our study altogether demonstrated HOTAIR influence cell proliferation and apoptosis by regulation of miR-483-3p and CDK4 in medulloblastoma cells. HOTAIR can be used as a candidate for potential applications in the treatment of medulloblastoma.
Our study altogether demonstrated HOTAIR influence cell proliferation and apoptosis by regulation of miR-483-3p and CDK4 in medulloblastoma cells. HOTAIR can be used as a candidate for potential applications in the treatment of medulloblastoma.
Our study aims to solve the problems caused by the large numbers of prescriptions and insufficient pharmacists in the hospital by using a prescription review model based on data mining.

A hospital pharmacy management analysis and decision system was established based on the data of the hospital information system, requirement of pharmacy management and data mining technology. Based on application of this information system, a four-step data mining prescription review model was created and put into practice, which included presentation of model for prescription evaluation, instance problem model, full-scale extraction of problem prescriptions tracking correction and dynamic monitoring of changes in drug dosage distribution for proposing new problem model.

Through the application of this model, the problems caused by overdosage, over-treatment, the combined use of drugs with the same curative effect, and non-indication use of antibacterial drugs in our hospital's prescription reviews were almost solved. The unreasonable rate of prescriptions has remained below 0.05% since 2015, and the unreasonable rate of doctor's orders has been controlled below 0.24%. The proportion of medicines dropped from 45.4% to 28.2%. The proportion of adjuvant drugs used decreased from 21% to 1.6%.

This data mining prescription evaluation model is an efficient prescription quality management tool suitable for implementation in the digital, big data era.
This data mining prescription evaluation model is an efficient prescription quality management tool suitable for implementation in the digital, big data era.
Ranking fourth in the world in tumor incidence and second in cancer-related death worldwide, gastric cancer (GC) is one of the major malignant tumors, and has a very complicated pathogenesis. In the present study, we aimed to identify new biomarkers to predict the survival rate of GC patients.

The differentially expressed genes (DEGs) between GC tissues and normal stomach tissues were obtained by using GEO2R, and overlapped DEGs were acquired with Venn diagrams. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were conducted with R software. Then, the protein-protein interaction (PPI) of these DEGs was visualized by Cytoscape. Gene Expression Profiling Interactive Analysis (GEPIA) was used to verify the expression differences of hub genes in gastric adenocarcinoma tissues and normal tissues. Overall survival (OS) of hub genes was calculated by Kaplan-Meier plotter.

There were a total of 128 consistently expressed genes in the two datasets 85 upregulated genes werovery (DAVID), three genes [G2/miotic-specific cyclin B1 (CCNB1), polo-like kinases 1 (PLK1), and pituitary tumor-transforming gene-1 (PTTG1)] were markedly enriched in the cell cycle pathway, particulary the G1-G1/S phase.

Three remarkably upregulated DEGs with poor prognosis in GC were identified and may serve as new prognostic biomarkers and targets in GC therapy.
Three remarkably upregulated DEGs with poor prognosis in GC were identified and may serve as new prognostic biomarkers and targets in GC therapy.
This study aimed to investigate the protective effect and mechanism of lentinan (LNT) on acute kidney injury (AKI) in septic rats.

read more were randomly divided into 6 groups with 12 rats in each group. Except for the sham group, all groups, including the burn sepsis group (BS group), the positive drug control group (dexamethasone, 5 mg/kg, PC group), the LNT low-concentration group (LNT-L group) (50 mg/kg), the LNT medium-concentration group (LNT-M group) (100 mg/kg), and the LNT high-concentration group (LNT-H group) (200 mg/kg), were intraperitoneally injected with the same amount of normal saline 30 min before injury. The levels of serum interleukin (IL)-4, IL-6, IL-10, and tumor necrosis factor alpha (TNF-α); the indexes of blood urea nitrogen (BUN) and creatinine (Cr); and the protein expression levels of inducible nitric oxide synthase (iNOS), intercellular adhesion molecule 1 (ICAM-1), and nuclear factor-κB (NF-κB) in renal tissue were detected 24 hours after the model was established.
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