An understanding of the global migration dynamics of highly pathogenic avian influenza A(H5N1) virus is helpful for surveillance and disease prevention. To characterize the migration network of this virus, we used genetic analysis, which supported a global persistence model in which each of 9 regions acts to some extent as a source. Siberia is the major hub for the dispersal of the virus. Southeast Asia and Africa are major sources of genetically and antigenically novel strains. We found evidence of local persistence of the virus in Southeast Asia and Africa, which is rare for human influenza A viruses. The differences in migration dynamics between avian and human influenza viruses might help with the design of region-specific surveillance efforts and the selection of vaccine candidates.

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Airborne Newcastle disease (ND) viruses in the air of five chicken houses were detected and differentiated by reverse transcriptase polymerase chain reaction (RT-PCR) using degenerate primers. Fifteen air samples were collected with All Glass Impinger-30 (AGI-30) air samplers in each house. Airborne ND viruses were also isolated and virulence identified by in vivo tests. Avirulent viruses were detected both in air samples and swab samples in four houses by degenerate primers based RT-PCR. Virulent viruses were detected only in the air samples by degenerate primers based RT-PCR in two houses. Seven strains viruses were isolated from the RT-PCR positive air samples. Of the seven strains, three strains were virulent viruses and four strains were avirulent viruses identified by in vivo tests. The results showed that it was feasible to detect and differentiate NDV in the air samples using degenerate primers based RT-PCR. This technique could decrease the time it required identify NDV infected flocks while distinguishing between virulent and avirulent viruses. It will help effectively to control Newcastle disease.

IFN-γ plays an indirect anti-cancer role through the immune system but may have direct negative effects on cancer cells. It regulates the viability of gastric cancer cells, so we examined whether it affects their proliferation and how that might be brought about. We exposed AGS, HGC-27 and GES-1 gastric cancer cell lines to IFN-γ and found significantly reduced colony formation ability. Flow cytometry revealed no effect of IFN-γ on apoptosis of cell lines and no effect on cell aging as assessed by β-gal staining. Microarray assay revealed that IFN-γ changed the mRNA expression of genes related to the cell cycle and cell proliferation and migration, as well as chemokines and chemokine receptors, and immunity-related genes. Finally, flow cytometry revealed that IFN-γ arrested the cells in the G1/S phase. IFN-γ may slow proliferation of some gastric cancer cells by affecting the cell cycle to play a negative role in the development of gastric cancer.

Francisella tularensis is a potential biowarfare/bioterrorism agent and zoonotic pathogen that causes tularemia; thus, surveillance of F. tularensis and first-level emergency response using point-of-care testing (POCT) are essential. The UPT-LF POCT assay was established to quantitatively detect F. tularensis within 15 min, and the sensitivity of the assay was 104 CFU · mL−1 (100 CFU/test). The linear quantitative range covered five orders of magnitude, and the coefficients of variation were less than 10%. Except Shigella dysenteriae, UPT-LF showed excellent specificity to four strains that are also potential biowarfare/bioterrorism agents and 13 food-borne pathogenic strains. Samples with pH 2–13, high ion strengths (≥2 mol · L−1 solution of KCl and NaCl), high viscosities (≤50 mg · mL−1 PEG20000 or ≥20% glycerol), and high concentrations of biomacromolecules (≥400 mg · mL−1 bovine serum albumin or ≥80 mg · mL−1 casein) showed little influence on the assay. For practical utilization, the tolerance limits for seven powders and eight viscera were determined, and operation errors of liquid measurement demonstrated a minor influence on the strip. Ftu-UPT-LF is a candidate POCT method because of its excellent sensitivity, specificity, and stability in complex samples, as well as low operation error.