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Articles by Yan Jin
Total Records ( 4 ) for Yan Jin
  Xiande Ma , Yan Jin and Hongquan Guan
  Background and Objective: Sub-health, also known as yajiankang, is mainly caused by fatigue and an unbalanced diet and has become a serious threat to public health. This study aimed to evaluate the susceptibility and innate immune response to intestinal Candida albicans (C. albicans) infection in mice induced by fatigue combined with an unbalanced diet as a sub-health state model. Materials and Methods: The KM mice were randomly divided into 4 groups: control group (CG), control mice infected with C. albicans group (CCG), model group (MG) and model mice infected with C. albicans group (MCG). The C. albicans content in feces was counted and barrier function analysis was performed on the small intestine. The levels of sIgA, IL-1β and TNF-α were determined by enzyme-linked immunosorbent assay. Expression of lysozyme was determined by Western blot. Results: These results indicated that C. albicans content was significantly increased, but the sIgA level, phagocytic percentage and index, 50% hemolytic complement (as CH50 level) and expression of lysozyme were significantly decreased in the mice infected with C. albicans group (MCG) relative to those in the other groups. The IL-1β and TNF-α levels were significantly decreased in the MCG relative to those in the control mice infected with C. albicans group. In the barrier function analysis, inflammatory cells in the mucosa, sparse microvilli and vacuolar phenomenon were observed in the MCG. Conclusion: The results indicated that innate immunity was down regulated and susceptibility to C. albicans infection was significantly higher in mice in the sub-health state than in control mice.
  Yongli Tang , Yan Jin and Lihua Wang
  The application of the cloud computing system brings convenience to users which potentially exists many risks of system security. It is one of the difficulties and current researches to assess the risks of cloud computing system correctly and objectively. Through analyzing the security risk which exists in the cloud computing system, the article presents a kind of risk analysis model based on the fuzzy matrix which makes a modeled analysis algorithm to security risk of cloud computing system and simulates the feasibility and availability of the model through a example which proves the validity of the model.
  Yan Jin , Misty J. Hein , James A. Deddens and Cynthia J. Hines
  Studies of determinants of occupational exposure frequently involve left-censored lognormally distributed data, often with repeated measures. Left censoring occurs when observations are below the analytical limit of detection (LOD); repeated measures data results from taking multiple measurements on the same worker. A common method of dealing with this type of data has been to substitute a value (such as LOD/2) for the censored data followed by statistical analysis using the ‘usual’ methods. Recently, maximum likelihood estimation (MLE) methods have been employed to reduce bias associated with the substitution method. We compared substitution and MLE methods using simulated lognormally distributed exposure data subjected to varying amounts of censoring using two procedures available in SAS: LIFEREG and NLMIXED. In these simulations, the MLE method resulted in less bias and performed well even for censoring up to 80%, whereas the substitution method resulted in considerable bias. We illustrate the NLMIXED procedure using a dataset of chlorpyrifos air measurements collected from termiticide applicators on consecutive days over a 5-day workweek. We provide sample SAS code for several situations including one and two groups, with and without repeated measures, random slopes, and nested random effects.
  Daohong Lin , Erik-Jan Kamsteeg , Yan Zhang , Yan Jin , Hyacinth Sterling , Peng Yue , Marcel Roos , Amy Duffield , Joanna Spencer , Michael Caplan and Wen-Hui Wang
  In the present study, we tested the role of CD63 in regulating ROMK1 channels by protein-tyrosine kinase (PTK). Immunocytochemical staining shows that CD63 and receptor-linked tyrosine phosphatase α (RPTPα) are expressed in the cortical collecting duct and outer medulla collecting duct. Immunoprecipitation of tissue lysates from renal cortex and outer medulla or 293T cells transfected with CD63 reveals that CD63 was associated with RPTPα both in situ and in transfected cells. Expression of CD63 in 293T cells stimulated the phosphorylation of tyrosine residue 416 of c-Src but decreased the phosphorylation of tyrosine residue 527, indicating that expression of CD63 stimulates the activity of c-Src. Furthermore, c-Src was coimmunoprecipitated with RPTPα and CD63 both in 293T cells transfected with CD63 and in lysates prepared from native rat kidney. Potassium restriction had no effect on the expression of RPTPα, but it increased the association between c-Src and RPTPα in the renal cortex and outer medulla. We also used two-electrode voltage clamp to study the effect of CD63 on ROMK channels in Xenopus oocytes. Expression of CD63 had no significant effect on potassium currents in oocytes injected with ROMK1; however, it significantly enhanced the c-Src-induced inhibition of ROMK channels in oocytes injected with ROMK1+c-Src. The effect of CD63 on the c-Src-induced inhibition was not due to a decreased expression of ROMK1 channels, because blocking PTK with herbimycin A abolished the inhibitory effect of c-Src on ROMK channels in oocytes injected with ROMK1+c-Src+CD63. Furthermore, coexpression of CD63 enhanced tyrosine phosphorylation of ROMK1. We conclude that CD63 plays a role in the regulation of ROMK channels through its association with RPTPα, which in turn interacts with and activates Src family PTK, thus reducing ROMK activity.
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