Textural properties and consumer preference of functional milk puddings fortified with apricot kernel extracts.

Both the demand for functional foods and their consumption have increased rapidly in recent years. Apricot kernels, originated in China, are rich in dietary protein, fat, fiber, and exhibit high antimicrobial and antioxidant activities. The effects of the agar-gelatin ratio and milk volume on the texture of apricot kernel milk puddings were evaluated. Texture profile analysis indicated that increasing volumes of agar and milk contributed to the hardness and gumminess but reduced the cohesiveness of puddings. The pudding sample S2 (250 ml of milk, 200 ml of water, 60 g of raw apricot kernels, 30 g of sugar, 5 g of gelatin, and 2 g of agar) was ultimately determined as the essential texture matrix prototype for further development of puddings. The effects of the ratio of raw apricot kernels to roasted apricot kernels and cream content in puddings on consumer preference were determined by quantitative descriptive analysis and consumer testing. Both quantitative descriptive analysis and external preference mapping of all puddings (12 samples) indicated that the pudding sample P6 (250 ml of milk, 200 ml of water, 40 g of raw apricot kernels, 20 g of roasted apricot kernels, 40 g of cream, 30 g of sugar, 5 g of gelatin, and 2 g of agar) showed enhanced consumer acceptance. The properties driving preference for P6 were oral smoothness, overall flavor, degree of roast, and milky taste. P6 was ultimately selected as the prototype to incorporate apricot kernels for the development of functional milk puddings with fortified essential nutrients.

Methane emissions responding to Azolla inoculation combined with midseason aeration and N fertilization in a double-rice cropping system.

Methane (CH4) is an important greenhouse gas (GHG), and paddy fields are major sources of CH4 emissions. This pot experiment was conducted to investigate the integrated effects of Azolla inoculation combined with water management and N fertilization on CH4 emissions in a double-rice cropping system of Southern China. Results indicated that midseason aeration reduced total CH4 emissions by 46.9%, 38.6%, and 42.4%, followed by N fertilization with 32.5%, 17.0%, and 29.5% and Azolla inoculation with 32.5%, 17.0%, and 29.5%, on average, during the early, late, and annual rice growing seasons, respectively. The CH4 flux peaks and total CH4 emissions observed in the late rice growing season were significantly higher than those in the early rice growing season. Additionally, CH4 fluxes correlated negatively to soil redox potential (Eh) and dissolved oxygen (DO) concentration. Azolla inoculation and N fertilization greatly increased the rice grain yields, whereas midseason aeration had distinct effects on grain yields in both rice seasons. The highest annual rice grain yields of approximately 110 g pot-1 were obtained in the Azolla inoculation and N fertilization treatments. In terms of yield-scaled CH4 emission, Azolla inoculation combined with midseason aeration and N fertilization generated the lowest yield-scaled CH4 emissions both in the early and in the late rice growing seasons, as well as during the annual rice cycle. In contrast, the highest yield-scaled CH4 emission was obtained in the treatment employed continuous flooding, without Azolla and no N application. Our results demonstrated that Azolla inoculation, midseason aeration, and N fertilization practices mitigated total CH4 emissions by 18.5-42.4% during the annual rice cycle. We recommend that the combination of Azolla inoculation, midseason aeration, and appropriate N fertilization can achieve lower CH4 emissions and yield-scaled CH4 emissions in the double-rice growing system.

FFJ-3 inhibits PKM2 protein expression via the PI3K/Akt signaling pathway and activates the mitochondrial apoptosis signaling pathway in human cancer cells.

Pyruvate kinase isoenzyme M2 (PKM2) has previously been identified as a tumor biomarker and potential therapeutic target for the treatment of cancer. In the present study, FFJ-3, a structurally modified version of mollugin, an extract of the Traditional Chinese herbal medicine Rubia tinctorum (madder) was used in order to determine the anticancer activity of the compound and investigate the potential mechanisms underlying this effect in human cancer cells. The results of the present study revealed that FFJ-3 inhibited the survival of HepG2 human hepatoma cells, MCF-7 human breast cancer cells and A549 human lung adenocarcinoma cells using the MTT assay. In addition, FFJ-3 arrested cell cycle progression at G2/M and G1 in HepG2 and A549 cells, respectively. Further analyses demonstrated that FFJ-3 attenuated the expression of PKM2 protein via the inhibition of the phosphoinositide 3-kinase (PI3K)/Akt serine/threonine kinase (Akt) signaling pathway. Furthermore, treatment of all three cell types with FFJ-3 significantly increased apoptosis and decreased the mitochondrial membrane potential compared with the untreated control group. In addition, FFJ-3 treatment increased the ratio of B-cell lymphoma-2 (Bcl-2)/Bcl-2 associated X and activated the caspase-3 cascade. In conclusion, the inhibition of the PI3K/Akt signaling pathway and activation of the caspase-3 cascade by FFJ-3 were primarily responsible for the inhibition of cell proliferation and induction of apoptosis in MCF-7, HepG2 and A549 cells. The results of the present study suggest a potential therapeutic role for FFJ-3 in the treatment of human cancer.

Integrative analysis of differentially expressed microRNAs of pulmonary alveolar macrophages from piglets during H1N1 swine influenza A virus infection.

H1N1 swine influenza A virus (H1N1 SwIV) is one key subtype of influenza viruses with pandemic potential. MicroRNAs (miRNAs) are endogenous small RNA molecules that regulate gene expression. MiRNAs relevant with H1N1 SwIV have rarely been reported. To understand the biological functions of miRNAs during H1N1 SwIV infection, this study profiled differentially expressed (DE) miRNAs in pulmonary alveolar macrophages from piglets during the H1N1 SwIV infection using a deep sequencing approach, which was validated by quantitative real-time PCR. Compared to control group, 70 and 16 DE miRNAs were respectively identified on post-infection day (PID) 4 and PID 7. 56 DE miRNAs were identified between PID 4 and PID 7. Our results suggest that most host miRNAs are down-regulated to defend the H1N1 SwIV infection during the acute phase of swine influenza whereas their expression levels gradually return to normal during the recovery phase to avoid the occurrence of too severe porcine lung damage. In addition, targets of DE miRNAs were also obtained, for which bioinformatics analyses were performed. Our results would be useful for investigating the functions and regulatory mechanisms of miRNAs in human influenza because pig serves as an excellent animal model to study the pathogenesis of human influenza.

[Cloning, eukaryotic expression and spatial expression patterns of porcine MNSFbeta].

MNSFbeta (Monoclonal nonspecific suppressor factor beta) is a natural immunosuppressive factor which has been reported to be involved in various biological processes, such as immune responses, cell division, stress response, cell apoptosis, and nuclear transport. However, study on porcine MNSFbeta has been rarely reported. In this study, the full-length sequence of porcine MNSFbeta (GenBank accession number: KF77642500) was predicted in silicon and its cDNA sequence was obtained through RT-PCR from porcine spleen. The nucleic acid and protein sequences were analyzed. Then, the gene was subcloned into pEGFP-C1 to construct a recombinant plasmid pEGFP-MNSFbeta which was transfected into swine umbilical vein endothelial cells (SUVECs) using Lipofectamine 2000. The expression of GFP was detected by fluorescence microscopy, Western blot, and laser confocal fluorescence microscopy. The spatial expression patterns of porcine MNSFbeta were detected by real-time qPCR. Results showed that the full length of porcine MNSFbeta was 402 bp encoding 133 amino acids with only one exon. Bioinformatics analysis showed that porcine MNSFbeta protein was a stable protein consisting of a ubiquitin-like domain fused to the ribosomal protein S30 with no signal peptide. The analyses of homology and phylogenetic tree of porcine MNSFbeta and its homologs in other 18 species showed that the identities of MNSFbeta protein sequence were higher than 91% among different species and the evolutionary distance was less than 0.05. It indicates that MNSFbeta is highly conserved in the process of evolution. Fluorescence signal showed that the fusion protein GFP-MNSFbeta was successfully expressed in SUVECs which was then confirmed by Western blot. Laser confocal fluorescence microscopy showed that MNSFbeta was expressed in both nucleus and cytoplasm. Analysis of spatial expression patterns showed that procine MNSFbeta was widely expressed in immune tissues, but not in lung, suggesting that MNSFbeta may play an important role in immune response.

BCL-G as a new candidate gene for immune responses in pigs: bioinformatic analysis and functional characterization.

BCL-G, also known as Bcl2-like14, is a unique member of the Bcl-2 family that plays an important role in regulating apoptosis in humans. In the present study, we assessed the biological activities of porcine BCL-G (pBCL-G). The open reading frame (ORF) of pBCL-G covered 990 bp and encoded 329 amino acids. The genomic structure of the pBCL-G gene was also determined. The deduced amino acid sequence of the pBCL-G cDNA was highly identical to homologs in other species. Furthermore, domain prediction showed that pBCL-G protein contains BH2 and BH3 domains, which are typical domains of the Bcl-2 family. Phylogenetic analysis indicated that BCL-G may function differently among species. Subcellular localization analysis showed that GFP-pBCL-G fusion protein is distributed in the nucleus and cytoplasm. Flow cytometric analysis proved that pBCL-G is a pro-apoptotic factor. This study is useful for understanding pBCL-G and offers a potential molecular model for the investigation of diseases related to human BCL-G.

Highly pathogenic porcine reproductive and respiratory syndrome virus GP5 B antigenic region is not a neutralizing antigenic region.

In 2006, highly pathogenic porcine reproductive and respiratory syndrome virus (HP-PRRSV) caused great economic losses emerged in China and continues to be a threat for the pig industry. B antigenic region (AR) ((37)SHL/FQLIYNL(45)) of GP5 was considered to be a major linear neutralizing AR in PRRSV classical strains. However, peptide-purified antibodies against this AR did not neutralize PRRSV in a recent report. Compared with classical PRRSV, one amino acid mutation (L/F(39)→ I(39)) was found in B AR of HP-PRRSV. To study the ability of B AR of HP-PRRSV to induce neutralizing antibody (NA) in vitro and in vivo, rabbit antisera against B AR with and without the mutation and pig hyperimmune sera with high titer of NAs against HP-PRRSV were prepared. Immunofluorescence assays (IFA) showed that the two rabbit antisera both had reactivity to classical PRRSV CH-1a and HP-PRRSV HuN4 with no observable difference in IFA titer. However, antisera did not have neutralizing activity against classical PRRSV CH-1a and HP-PRRSV HuN4. No correlation was observed between the levels of anti-B AR peptide antibodies and NAs in pig hyperimmune sera that were detected by indirect ELISA and virus neutralization, respectively. B AR peptide-specific serum antibodies had no neutralizing activity and, GST-B fusion protein could not inhibit neutralization of NAs in pig hyperimmune sera. Based on these findings, we conclude that B AR of HP-PRRSV is not a neutralizing AR of HP-PRRSV GP5.

Identification of porcine serum proteins modified in response to HP-PRRSV HuN4 infection by two-dimensional differential gel electrophoresis.

Since 2006, highly pathogenic porcine reproductive and respiratory syndrome virus (HP-PRRSV) has become the major pathogen attributed to the prevalent porcine reproductive and respiratory syndrome (PRRS) in China. The present study aims to identify serum proteins modified in response to infection of HuN4, a HP-PRRSV strain isolated from a farm in 2006. 2-D DIGE analysis allowed for the detection of 19 differentially expressed protein spots, of which 18 were identified by MALDI-TOF/TOF MS. These 18 spots represented for a total of 9 proteins (6 up-regulated and 3 down-regulated), most of which belonged to the acute phase proteins in swine and showed a trend of regression in the late phase of the experiment. One of a series of AGP spots was identified for the first time to be decreased in acute phase of PRRSV infection in swine. But the whole level of the protein in the serum did not show significant changes by Western blot. The rising tendency of Hp was confirmed by Western blot and ELISA. These altered proteins were probably involved in the inflammatory process triggered by HuN4 and in alleviating the oxidative damage occurring in the process. In summary, these results may provide new insights into understanding the mechanisms of HP-PRRSV infection.

Protein-protein interaction network-based detection of functionally similar proteins within species.

Although functionally similar proteins across species have been widely studied, functionally similar proteins within species showing low sequence similarity have not been examined in detail. Identification of these proteins is of significant importance for understanding biological functions, evolution of protein families, progression of co-evolution, and convergent evolution and others which cannot be obtained by detection of functionally similar proteins across species. Here, we explored a method of detecting functionally similar proteins within species based on graph theory. After denoting protein-protein interaction networks using graphs, we split the graphs into subgraphs using the 1-hop method. Proteins with functional similarities in a species were detected using a method of modified shortest path to compare these subgraphs and to find the eligible optimal results. Using seven protein-protein interaction networks and this method, some functionally similar proteins with low sequence similarity that cannot detected by sequence alignment were identified. By analyzing the results, we found that, sometimes, it is difficult to separate homologous from convergent evolution. Evaluation of the performance of our method by gene ontology term overlap showed that the precision of our method was excellent.

Prediction and characterization of protein-protein interaction networks in swine.

BACKGROUND: Studying the large-scale protein-protein interaction (PPI) network is important in understanding biological processes. The current research presents the first PPI map of swine, which aims to give new insights into understanding their biological processes. RESULTS: We used three methods, Interolog-based prediction of porcine PPI network, domain-motif interactions from structural topology-based prediction of porcine PPI network and motif-motif interactions from structural topology-based prediction of porcine PPI network, to predict porcine protein interactions among 25,767 porcine proteins. We predicted 20,213, 331,484, and 218,705 porcine PPIs respectively, merged the three results into 567,441 PPIs, constructed four PPI networks, and analyzed the topological properties of the porcine PPI networks. Our predictions were validated with Pfam domain annotations and GO annotations. Averages of 70, 10,495, and 863 interactions were related to the Pfam domain-interacting pairs in iPfam database. For comparison, randomized networks were generated, and averages of only 4.24, 66.79, and 44.26 interactions were associated with Pfam domain-interacting pairs in iPfam database. In GO annotations, we found 52.68%, 75.54%, 27.20% of the predicted PPIs sharing GO terms respectively. However, the number of PPI pairs sharing GO terms in the 10,000 randomized networks reached 52.68%, 75.54%, 27.20% is 0. Finally, we determined the accuracy and precision of the methods. The methods yielded accuracies of 0.92, 0.53, and 0.50 at precisions of about 0.93, 0.74, and 0.75, respectively. CONCLUSION: The results reveal that the predicted PPI networks are considerably reliable. The present research is an important pioneering work on protein function research. The porcine PPI data set, the confidence score of each interaction and a list of related data are available at (http://pppid.biositemap.com/).

Isolation of serotype 2 porcine teschovirus in China: evidence of natural recombination.

Porcine teschovirus (PTV), the pathogen of porcine polioencephalomyelitis, is a member of the family Picornaviridae. In this study, a new PTV strain (designated as JF613) was isolated from pigs in China. It was confirmed by the specific CPE on susceptible cells, RT-PCR and nucleotide sequencing. Analysis of its amino acids sequence of complete polyprotein indicated that the isolate belongs to serotype 2. Genetic recombination is a well-known phenomenon for picornavirus which has been demonstrated in many other members of the family, but it remains so far unclear whether recombination occurs in PTV. To detect possible recombination events, 30 sequences of complete coding regions of PTV strains accessible in GenBank were examined. Putative recombinant sequence was identified with the use of SimPlot program. The result showed that the genomic sequence of our isolate exhibited highest similarities with strains of serotypes 2 and 5, respectively, in two crossover regions, suggesting the recombination event in PTV. Then the mosaic structure of viral genome was confirmed by bootscanning and genetic algorithm for recombination detection (GARD). This represents the first PTV-2 isolate in China. Furthermore, our study provided the first evidence of natural recombination in PTV and indicated that homologous recombination may be a driving force in PTV evolution.

Cloning and identification of porcine programmed death 1.

Programmed death 1 (PD-1) is a member of the immunoglobulin (Ig) superfamily, which is expressed on activated T cells, B cells and monocytes. Many researches have demonstrated that a high level of PD-1 expression is closely related to persistent infection and immune evasion in some human infections. In order to study the relationship between PD-1 expression and persistent infections caused by some porcine viruses, we first cloned the porcine PD-1 from porcine PBMCs based on the blast result in the EST database using the human PD-1 sequence. Sequence analysis showed that the cloned PD-1 molecule shares 63 and 54% amino acid sequence identity with human and murine PD-1, respectively. Its molecular structure is also similar to that of human and murine PD-1, containing an IgV-like domain in the extracellular region and two immune regulatory motifs in its cytoplasmic tail. The in vitro T cell proliferation assay showed that the cloned PD-1 could inhibit porcine T cell proliferation by 71% and secretion of IFN-gamma and IL-2 by 64 and 53%, respectively. These data suggest that porcine PD-1 negatively regulates the porcine immune response in a similar manner to that of its counterpart in the human and mouse immune system.