LASSO­based Cox­PH model identifies an 11­lncRNA signature for prognosis prediction in gastric cancer.

The present study aimed to identify a long non­coding (lnc) RNAs­based signature for prognosis assessment in gastric cancer (GC) patients. By integrating gene expression data of GC and normal samples from the National Center for Biotechnology Information Gene Expression Omnibus, the EBI ArrayExpress and The Cancer Genome Atlas (TCGA) repositories, the common RNAs in Genomic Spatial Event (GSE) 65801, GSE29998, E­MTAB­1338, and TCGA set were screened and used to construct a weighted correlation network analysis (WGCNA) network for mining GC­related modules. Consensus differentially expressed RNAs (DERs) between GC and normal samples in the four datasets were screened using the MetaDE method. From the overlapped lncRNAs shared by preserved WGCNA modules and the consensus DERs, an lncRNAs signature was obtained using L1­penalized (lasso) Cox­proportional hazard (PH) model. LncRNA­mRNA networks were constructed for these signature lncRNAs, followed by functional annotation. A total of 14,824 common mRNAs and 2,869 common lncRNAs were identified in the 4 sets and 5 GC­associated WGCNA modules were preserved across all sets. MetaDE method identified 1,121 consensus DERs. A total of 50 lncRNAs were shared by preserved WGCNA modules and the consensus DERs. Subsequently, an 11­lncRNA signature was identified by LASSO­based Cox­PH model. The lncRNAs signature­based risk score could divide patients into 2 risk groups with significantly different overall survival and recurrence­free survival times. The predictive capability of this signature was verified in an independent set. These signature lncRNAs were implicated in several biological processes and pathways associated with the immune response, the inflammatory response and cell cycle control. The present study identified an 11­lncRNA signature that could predict the survival rate for GC.

Molecular epidemiology of pseudorabies virus in Yunnan and the sequence analysis of its gD gene.

Outbreaks of pseudorabies (PRs) have occurred in Yunnan, China, which caused significant economic loss. To determine the prevalence and origin of PR in Yunnan, especially among vaccinated pigs, overall 791 samples of blood, tissue, semen, and sera were analyzed by serological methods, PCR, and sequence analysis of gD gene. Detection with viral gI antibody or PCR showed that the yearly positive rates of PR virus (PRV) in Yunnan from 2010 to 2014 were 48.15, 21.26, 2.17, 5.22, and 0.35%, respectively, with an average of 15.43%. In general, the incidence declined through the period of 2010-2014 probably due to the application of PRV eradication strategies. A phylogenetic tree was constructed based on the complete sequence of gD gene, with all strains clustered into two independent clades, i.e., Asian and European-American clades. The virus isolates from Henan, Tianjin, Heilongjiang, Sichuan, Shandong, Fujian, Xinjiang, Hubei, Guangdong, and Yunnan fell into Asian group, which harbored South Korea isolate. Four Yunnan virus isolates together with South Korean Namyangju fell into in the European-American clade. It showed that PR was pandemic as there was not a clear clue about the geographical origin of the PRV isolates in China since 2010.

Chlorogenic acid increased acrylamide formation through promotion of HMF formation and 3-aminopropionamide deamination.

This research was aimed to investigate why chlorogenic acid, presents at high concentrations in some food raw material, influences acrylamide formation. In the asparagine/glucose Maillard reaction system (pH=6.8), addition of chlorogenic acid significantly increased acrylamide formation and inhibited its elimination. In contrast, the quinone derivative of chlorogenic acid decreased acrylamide formation. Three mechanisms may be involved for increasing acrylamide formation by chlorogenic acid. Firstly, it increased the formation of HMF, which acts as a more efficient precursor than glucose to form acrylamide. Secondly, it decreased activation energy for conversion of 3-aminopropionamide (3-APA) to acrylamide (from 173.2 to 136.6kJ/mol), and enhances deamination from 3-APA. And thirdly, it prevented attack of the produced acrylamide from free radicals by keeping high redox potential during the Maillard reaction.