Oxidative stress caused by hypoxia can lead to serious bodily damage and functional degradation. Our previous study in pigs showed that the insulin-like growth factor II receptor (IGF2R) gene might participate in the process of hypoxia adaptability. To investigate the function and mechanism of IGF2R in cellular hypoxia tolerance, we analyze the effect of IGF2R on cell survival capacity under hypoxia conditions in intestinal porcine enterocyte cell line (IPEC-J2) cells.
View Article and Find Full Text PDFThis study presents a sensitive and reproducible mass spectrometry method for quantifying skatole in porcine adipose tissue, muscle, and serum samples applicable for abattoirs and laboratories. Leveraging gas chromatography-high-resolution Orbitrap microscopy and microwave-assisted liquefication of the adipose tissue, the method demonstrates robust performance across key parameters. Impressive linearity (R) values of 0.
View Article and Find Full Text PDFAfrican swine fever virus (ASFV) adversely affects pig farming owing to its 100% mortality rate. The condition is marked by elevated body temperature, bleeding, and ataxia in domestic pigs, whereas warthogs and ticks remain asymptomatic despite being natural reservoirs for the virus. Breeding ASFV-resistant pigs is a promising solution for eradicating this disease.
View Article and Find Full Text PDFThe reemergence of monkeypoxvirus (MPXV) in 2017 after about 39 years of no reported cases in Nigeria, and the recent incidence in countries such as the United States of America, United Kingdom, Singapore, and Israel which have been reportedly linked with travelers from Africa, have heightened concern that MPXV may have emerged to occupy the vacant ecological and immunological niche created by the extinct smallpox virus. This study was carried out to identify environmental conditions and areas that are environmentally suitable (risky areas) for MPXV in southern Nigeria. One hundred and sixteen (116) spatially unique MPXV occurrence data from 2017-2021 and corresponding environmental variables were spatially modeled by a maximum entropy algorithm to evaluate the contribution of the variables to the distribution of the viral disease.
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