The effect of influenza virus on the metabolism of peripheral blood mononuclear cells with a metabolomics approach.

Respiratory viruses have led to many deaths and hospitalizations per year in the world. The influenza virus is one of the most important respiratory viruses. Recently, metabolic studies in viral infections have been widely studied by scientists. Metabolomics states the metabolites present in a living organism under certain conditions. In this study, peripheral blood mononuclear cells were spinoculated using a virus produced by the Madin-Darby canine kidney cell culture system, and cells were harvested following spinoculation by the influenza virus. Isolation of peripheral blood mononuclear cells was performed by Ficoll-Paque density gradient centrifugation. Metabolites were extracted using organic and water approaches. Metabolic profiling was performed by a nontargeted  technique using liquid chromatography with tandem mass spectrometry. Multivariate analysis methods were used to determine the main variables. the metabolic pathways involved were determined using databases. Results of the present study showed changes in biosynthesis pathways such as lipids, polyamines, catecholamines, and vitamins. Findings also showed that it is possible to explain the process of inflammation caused by the influenza virus by studying the metabolism of immune cells.

The Effect of Different microRNA Backbones on Artificial miRNA Expression and Knockdown Activity Against HIV-1 Replication.

BACKGROUND: Artificial microRNAs (miRNAs) are designed to develop an RNAi-based gene therapy. Recently, it has been suggested that the flanking sequences and terminal loop structure play a critical role in RNAi biogenesis and target recognition, but no extensive study regarding the different miRNA backbone for artificial miRNAs optimization has been conducted. OBJECTIVE: We tested three artificial miRNAs with human hsa-miR30a (common miRNA), hsa-miR150 (T cell specific miRNA), and hsa-miR122 (liver specific miRNA) backbones in HEK-293T and Jurkat cell lines. METHODS: Artificial miRNA processing and knockdown efficiency were analyzed by stem-loop RT-PCR, qRT-PCR, luciferase assay and target challenging. RESULTS: We identified strikingly different RNAi activities among these different artificial miRNAs. Our results demonstrated that expression and function of art-miR150 was more than art-miR30 and artmiR122 in both HEK-293T and Jurkat cell lines. Since the main difference in these artificial miRNAs was flanking sequences and terminal loop structure, the change between the expression and function of artificial miRNAs can be attributed to these structures. CONCLUSION: This study showed that expression of cell-specific artificial miRNA in target and nontarget cells is not different, but variation in flanking sequences and terminal loop can be involved in expression and function of artificial miRNAs. These results can be important for improving artificial miRNA design in RNAi-based gene therapy.