Epidemiological and genetic characteristics of swine pseudorabies virus in mainland China between 2012 and 2017

The outbreak of pseudorabies (PR) in many Bartha-K61 vaccinated farms in China in late 2011 has seriously damaged the pig industry of one of the largest producers of pork products in the world. To understand the epidemiological characteristics of the pseudorabies virus (PRV) strains currently prevalent in China, a total of 16,256 samples collected from pig farms suspected of PRV infection in 27 Provinces of China between 2012 and 2017 were evaluated for detection of PRV. Since the extensive use of gE-deleted PRV vaccine in China, the PRV-gE was applied for determining wild-type virus infection by PCR. Of the 16,256 samples detected, approximately 1,345 samples were positive for the detection of PRV-gE, yielding an average positive rate of 8.27%. The positive rates of PRV detection from 2012 to 2017 were 11.92% (153/1284), 12.19% (225/1846), 6.70% (169/2523), 11.10% (269/2424), 5.57% (147/2640), and 6.90% (382/5539), respectively. To understand the genetic characteristics of the PRV strains currently circulating, 25 PRV strains isolated from those PRV-gE positive samples were selected for further investigation. Phylogenetic analysis based on gB, gC, and gE showed that PRV strains prevalent in China had a remarkably distinct evolutionary relationship with PRVs from other countries, which might explain the observation that Bartha-K61 vaccine was unable to provide full protection against emergent strains. Sequence alignments identified many amino acid changes within the gB, gC, and gE proteins of the PRVs circulating in China after the outbreak compared to those from other countries or those prevalent in China before the outbreak; those changes also might affect the protective efficacy of previously used vaccines in China, as well as being associated in part with the increased virulence of the current PRV epidemic strains in China

NaBiS2 as a Novel Indirect Bandgap Full Spectrum Photocatalyst: Synthesis and Application

Photocatalysts with a superior activity range, from ultraviolet (UV) to near-infrared (NIR) light, are attractive for solar utilization. From this perspective, sulfides are promising due to their narrower bandgap than oxides. In this report, NaBiS2 was synthesized hydrothermally under mild conditions by adjusting the alkaline amount. The rough NaBiS2 nanosheets possessed various surface atomic configurations on their surfaces, including amorphous clusters and amorphous nano-domains, revealed by HRTEM. A theoretical investigation of the band structure employing the density functional theory (DFT) method for the first time indicated that NaBiS2 is an indirect bandgap semiconductor with a narrow bandgap of 1.02 eV. Experimentally, it showed excellent photocatalytic activity for the degradation of methyl blue under UV, visible light and NIR light due to its experimental bandgap width of 1.32 eV. A degradation rate of 99.6% was reached after 80 min under full spectrum irradiation

Pre-Eclampsia-Associated Reduction in Placental Growth Factor Impaired Beta Cell Proliferation Through PI3k Signalling

Background/Aim: Reduction in serum placental growth factor (PLGF) frequently co-occurs with preeclampsia (PE) and gestational diabetes mellitus (GDM). Recently, we reported that impairment in gestational beta-cell mass growth may result from PE-associated reduction in PLGF and lead to development of GDM. Here, we studied the underlying mechanisms. Methods: We co-cultured primary mouse beta cells with mouse islet endothelial cells (MS1), with or without PLGF. We also cultured beta cells in conditioned media from PLGF-treated MS1. Specific signal-pathway inhibitors were applied to cultured beta cells in conditioned media from PLGF-treated MS1. We analysed beta-cell proliferation by BrdU incorporation. We analysed changes in cell number by a MTT assay. We analysed protein levels of cell-cycle regulators in beta cells by Western blot. Results: PLGF itself failed to induce beta-cell proliferation, but significantly augmented proliferation of beta cells co-cultured with MS1, which resulted in significant increases in cell number. Conditioned media from the PLGF-treated MS1 cells similarly induced beta-cell proliferation, which was abolished by inhibition of PI3k/Akt signalling, but not by inhibition of either ERK/MAPK or JNK signalling. The induction of beta-cell proliferation by PLGF-treated MS1 cells appeared to involve decreases in cell-cycle inhibitors p21 and p27, and increases in cell-cycle activators CDK4 and CyclinD1. Conclusion: Gestational PLGF may target islet endothelial cells to release growth factors that activate PI3k/Akt signalling in beta cells to increase their proliferation. PE-associated reduction in PLGF impairs these processes to result in GDM

Risk miRNA screening of ovarian cancer based on miRNA functional synergistic network

BACKGROUND: miRNAs are proved to have causal roles in tumorgenesis involving various types of human cancers, but the mechanism is not clear. We aimed to explore the effect of miRNAs on the development of ovarian cancer and the underlying mechanism. METHODS: The miRNA expression profile GSE31801 was downloaded from GEO (Gene Expression Omnibus) database. Firstly, the differentially expressed miRNAs were screened. Target genes of the miRNAs were collected from TargetScan, PicTar, miRanda, and DIANA-microT database, then the miRNA-miRNA co-regulating network was constructed using miRNA pairs with common regulated target genes. Next, the functional modules in the network were studied, the miRNA pairs regulated at least one modules were enriched to form the miRNA functional synergistic network (MFSN). RESULTS: Risk miRNA were selected in MFSN according to the topological structure. Transcript factors (TFs) in MFSN were identified, followed by the miRNA-transcript factor networks construction. Totally, 42 up- and 61 down-regulated differentially expressed miRNAs were identified, of which 68 formed 2292 miRNA pairs in the miRNA-miRNA co-regulating network. GO: 0007268 (synaptic transmission) and GO: 0019226 (transmission of nerve impulse) were the two common functions of miRNAs in MFSN, and hsa-miR-579 (36), hsa-miR-942 (31), hsa-miR-105 (31), hsa-miR-150 (34), and hsa-miR-27a* (32) were selected as the hub nodes in MFSN. CONCLUSIONS: In all, 17 TFs, including CREM, ERG, and CREB1 were screened as the cancer related TFs in MFSN. Other TFs, such as BIN1, FOXN3, FOXK1, FOXP2, and ESRRG with high degrees may be inhibited in ovarian cancer. MFSN gave us a new shed light on the mechanism studies in ovarian cancer