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Background@#Bovine papillomatosis is a type of proliferative tumor disease of skin and mucosae caused by bovine papillomavirus (BPV). As a transboundary and emerging disease in cattle, it poses a potential threat to the dairy industry. @*Objectives@#The aim of this study is to detect and clarify the genetic diversity of BPV circulating in dairy cows in Xinjiang, China. @*Methods@#122 papilloma skin lesions from 8 intensive dairy farms located in different regions of Xinjiang, China were detected by polymerase chain reaction. The genetic evolution relationships of various types of BPVs were analyzed by examining this phylogenetic tree. @*Results@#Ten genotypes of BPV (BPV1, BPV2, BPV3, BPV6, BPV7, BPV8, BPV10, BPV11, BPV13, and BPV14) were detected and identified in dairy cows. These were the first reported detections of BPV13 and BPV14 in Xinjiang, Mixed infections were detected, and there were geographical differences in the distribution of the BPV genotypes. Notably, the BPV infection rate among young cattle (< 1-year-old) developed from the same supply of frozen sperm was higher than that of the other young cows naturally raised under the same environmental conditions. @*Conclusions@#Genotyping based on the L1 gene of BPV showed that BPVs circulating in Xinjiang China displayed substantial genetic diversity. This study provided valuable data at the molecular epidemiology level, which is conducive to developing deep insights into the genetic diversity and pathogenic characteristics of BPVs in dairy cows.
RESUMO
Background@#Bovine papillomatosis is a type of proliferative tumor disease of skin and mucosae caused by bovine papillomavirus (BPV). As a transboundary and emerging disease in cattle, it poses a potential threat to the dairy industry. @*Objectives@#The aim of this study is to detect and clarify the genetic diversity of BPV circulating in dairy cows in Xinjiang, China. @*Methods@#122 papilloma skin lesions from 8 intensive dairy farms located in different regions of Xinjiang, China were detected by polymerase chain reaction. The genetic evolution relationships of various types of BPVs were analyzed by examining this phylogenetic tree. @*Results@#Ten genotypes of BPV (BPV1, BPV2, BPV3, BPV6, BPV7, BPV8, BPV10, BPV11, BPV13, and BPV14) were detected and identified in dairy cows. These were the first reported detections of BPV13 and BPV14 in Xinjiang, Mixed infections were detected, and there were geographical differences in the distribution of the BPV genotypes. Notably, the BPV infection rate among young cattle (< 1-year-old) developed from the same supply of frozen sperm was higher than that of the other young cows naturally raised under the same environmental conditions. @*Conclusions@#Genotyping based on the L1 gene of BPV showed that BPVs circulating in Xinjiang China displayed substantial genetic diversity. This study provided valuable data at the molecular epidemiology level, which is conducive to developing deep insights into the genetic diversity and pathogenic characteristics of BPVs in dairy cows.
RESUMO
Objective To investigate neutrophil lymphocyte ratio (NLR) in early-stage diabetic nephropathy and its clinic significance. Methods The 145 subjects were divided into two groups:the healthy control group (n=54) and early stage diabetic nephropathy group (n=91). The numbers of neutrophils (N) and lymphocytes (L) as well as the NLR values of peripheral blood and other biochemistry index were examined. Factors of early stage diabetic nephropathy were calculated us?ing variance and logistic regression analysis. Results Creatinine(Cr), total cholesterol(TC), triglyceride(TG), LDL-C, neu?trophils number and CRP in DN group were significantly higher than those of the control group and lymphocytes numbers of DN group were significantly lower than that of the control group (P<0.05 respectively);NLR values were significantly higher in diabetic nephropathy group compared with those of healthy control group(2.52±0.57 vs 1.82±0.60,t=6.997, P<0.01). Lo?gistic regression analysis showed that the risk factors of DN include NLR, TG and total cholesterol. NLR ( P <0.001, OR=8.951, OR 95%CI:3.595-22.287) was significantly associated with DN. Conclusion High NLR values may be a predic?tive and reliable marker ofearly-stage DN.
