Contamination of common food-borne pathogens in foods sold in Changzhou / 公共卫生与预防医学

Objective To understand the contamination status of common food-borne pathogens in foods sold in Changzhou, and to provide evidence for food safety risk assessment and prevention of food-borne diseases. Methods From 2010 to 2020 , 2 513 samples of 17 types of foods were collected in Changzhou area. The detection of pathogenic bacteria was carried out in accordance with the standard operation procedure specified in the “Workbook for Surveillance on Food Microorganisms and Pathogenic Factors in Jiangsu Province”. Results A total of 260 positive samples of common food-borne pathogens were detected in all 2 513 samples with an overall detection rate of 10.30%. Single factor analysis showed that the detection rate of pathogenic bacteria in non-ready-to-eat samples was higher than that in ready-to-eat samples (χ2=148.875，P =0.000). The detection rate of pathogenic bacteria in bulk samples was higher than that in prepackaged ones (χ2=70.956，P=0.000). There is a difference in the detection rate of food-borne pathogens from different types of sampling sites (χ2=65.017，P=0.000). Logistic regression analysis showed that ready-to-eat food, packaging type, and sampling season were significantly correlated with the detection rate of food-borne pathogens. The detection rate of pathogenic bacteria in samples collected in the third or fourth quarters was higher than that in the first quarter. Conclusion The commercial foods sold in Changzhou have a relatively high level of contamination of food-borne pathogenic bacteria, and they should be fully heated and sterilized before consumption. The relevant departments should strengthen supervision and health education in summer and autumn.

Impact of five genetic polymorphisms on inter-individual variation in warfarin maintenance dose / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To investigate the effect of genetic polymorphisms in VKORC1, CYP2C9, GGCX, EPHX1, APOE genes on inter-individual variation in warfarin maintenance dose.</p><p><b>METHODS</b>Two hundred and forty-nine patients with stable warfarin dose were enrolled in this study, and the clinical data and blood samples of the patients were collected. Genotypes for the 5 genes were determined by using PCR and denaturing high performance liquid chromatography (DHPLC) assay. The warfarin maintenance doses were compared among patients with different genotypes of the 5 genes, and a warfarin stable dosing algorithm was derived based on genetic and non-genetic factors.</p><p><b>RESULTS</b>Of the 5 genes, VKORC1, CYP2C9 and GGCX were associated with warfarin stable dose. The multiple linear regression analysis indicated that VKORC1, CYP2C9 and GGCX genes, age and weight, had significant influence on inter-individual variation in warfarin stable dose, which contributed 30.2%, 22.8%, 1.5%, 4.7% and 6.7% respectively. The warfarin stable dosing algorithm acquired from the optimal regression model could explain 57.8% variation in warfarin dose.</p><p><b>CONCLUSION</b>This study suggested that genetic factors are the major determinants of the warfarin maintenance dose, and warfarin stable dosing algorithm may be useful for helping clinicians to prescribe warfarin with greater safety and efficiency.</p>

Effects of AMPK on the transcriptional activity of FOXO1 and ubiquitin ligase MuRF1 expression in rat cardiomyocytes / 南方医科大学学报

<p><b>OBJECTIVE</b>To investigate the effects of AICAR on the activity of transcription factor FOXO1 and expression of ubiquitin ligase MuRF1 in rat cardiomyocytes, and explore the possible role of AMP-activated protein kinase (AMPK) in proteolysis pathways.</p><p><b>METHODS</b>In vitro cultured neonatal rat cardiac myocytes were treated with AICAR, and Western blotting was used to detect the phosphorylation of FOXO1 and expression of MuRF1 in the cells.</p><p><b>RESULTS</b>AICAR activated AMPK in rat cardiac myocytes. Activated AMPK significantly inhibited the phosphorylation of FOXO1 and increased MuRF1 protein expression.</p><p><b>CONCLUSION</b>AMPK may regulate proteolysis by activating FOXO1 transcription factor and up-regulating MuRF1 expression.</p>