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Serum adipokines play different roles in type I and II ketosis
Shen Liuhong,Zhu Yingkun,Xiao Jinbang,Qian Bolin,You Liuchao,Zhang Yue,Yu Shumin,Zong Xiaolan,Cao Suizhong 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.12
Objective: This study was conducted to investigate the differences in several serum adipokines in perinatal dairy cows with type I and II ketosis, and the correlations between these adipokines and the two types of ketosis. Methods: Serum adiponectin (ADP), leptin (LEP), resistin, tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6) levels, and energy balance indicators related to ketosis were measured. Type I and II ketosis were distinguished by serum glucose (Glu) and Y values and the correlations between adipokines in the two types of ketosis were analyzed. Results: β-Hydroxybutyric acid of type I ketosis cows was significantly negatively correlated with insulin (INS) and LEP and had a significant positive correlation with serum ADP. In type II ketosis cows, ADP and LEP were significantly negatively correlated, and INS and resistin were significantly positively correlated. Revised quantitative INS sensitivity check index (RQUICKI) values had a significantly positive correlation with ADP and had a very significant and significant negative correlation with resistin, TNF-α, and IL-6. ADP was significantly negatively correlated with resistin and TNF-α, LEP had a significantly positive correlation with TNF-α, and a significantly positive correlation was shown among resistin, IL-6, and TNF-α. There was also a significant positive correlation between IL-6 and TNF-α. Conclusion: INS, ADP, and LEP might exert biological influences to help the body recover from negative energy balance, whereas resistin, TNF-α, and IL-6 in type II ketosis cows exacerbated INS resistance and inhibited the production and secretion of ADP, weakened INS sensitivity, and liver protection function, and aggravated ketosis.
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A Protocol Model of S3 Computing Designed for Learning Community Platform of College Teachers
Liang Jia,Liuhong Yan 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.7
S3 Computing requires distributed computing performed by social network platform has high scalability and security. Protocol models meeting the requirements of S3 Computing not only ensure the correctness and robustness of distributed computing, but also reduce risks introduced by involvement of nodes with low reputation in computing. These models safeguard the data collections and computations performed on platform of teacher’s learning community for social researches. This paper constructs a protocol model entitled which adapts platform of teacher’s learning community and meets the requirements of S3 Computing. This protocol model is the key step of implementing distributed computations on learning community platform.
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Dongsheng Wu,Yuanjian Wu,Liuhong Wang,Weidong Xu,Qiao Zhong 대한진단검사의학회 2014 Annals of Laboratory Medicine Vol.34 No.1
Background: The dramatic increase in use of the IgG test for toxoplasma, rubella, cyto- megalovirus (CMV), and herpes simplex virus (HSV) [TORCH] has led to the requirement for a high-efficiency method that can be used in the clinical laboratory. This study aimed to compare the results of BGI-Array ELISA TORCH IgG (BGI-GBI, China) screening method to those of Virion/Serion TORCH IgG ELISA (Virion/Serion, Germany). Methods: Serum specimens (n=400) submitted for routine IgG testing by Virion/Serion ELISA were also tested using the BGI-Array ELISA method. The agreements of these two kinds of method were analyzed by κ-coefficients calculation. Results: Following repeat testing, the BGI-Array ELISA TORCH IgG assays demonstrated agreements of 99.5% (398/400 specimens), 98% (392/400 specimens), 99% (396/400 specimens), and 99.5% (398/400 specimens), respectively. The BGI-Array ELISA IgG as- says provided results comparable to Virion/Serion ELISA results, with κ-coefficients show- ing near-perfect agreement for the HSV (κ=0.87), rubella (κ=0.92) and CMV (κ=0.93) and substantial agreement for the toxoplasma (κ=0.80) IgG assays. The use of the BGI- Array ELISA TORCH IgG assays could reduce the turnaround time (1.5 hr vs. 5 hr by Vi- rion/Serion ELISA for 100 specimens) and were easy to use. Conclusions: BGI-Array ELISA TORCH IgG shows a good agreement with Virion/Serion ELISA methods and is suitable for clinical application.
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