Heterogeneity of immune control in chronic hepatitis B virus infection:Clinical implications on immunity with interferon-αtreatment and retreatment

Hepatitis B virus(HBV)infection is a global public health issue.Interferon-α(IFN-α)treatment has been used to treat hepatitis B for over 20 years,but fewer than 5%of Asians receiving IFN-αtreatment achieve functional cure.Thus,IFN-αretreatment has been introduced to enhance antiviral function.In recent years,immune-related studies have found that the complex interactions between immune cells and cytokines could modulate immune response networks,including both innate and adaptive immunity,triggering immune responses that control HBV replication.However,heterogeneity of the immune system to control HBV infection,particularly HBV-specific CD8^(+)T cell heterogeneity,has consequential effects on T cell-based immunotherapy for treating HBV infection.Altogether,the host’s genetic variants,negative-feedback regulators and HBV components affecting the immune system's ability to control HBV.In this study,we reviewed the literature on potential immune mechanisms affecting the immune control of HBV and the clinical effects of IFN-αtreatment and retreatment.

Immune Control Strategies for Vaccinia Virus-related Laboratory-acquired Infections

While presenting biological characteristics of vaccinia virus and laboratory-acquired infections during related research processes, this paper focuses on benefits and risks of vaccinia virus immunization in relation to laboratory-acquired infections, describes characteristics and the adaptation of vaccinia virus vaccine, analyses the role vaccinia virus immunization plays in the prevention and control of laboratory-acquired infections, and finally proposes solutions and countermeasures to further promote and implement immune control strategies. The problem related to immune strategy and laboratory- acquired infections which is being raised, analyzed and explored plays an active and instructive role in vaccinia virus related researches and laboratory- acquired infections, and also helps to recommend and develop relevant immune strategy for future vaccine control of such infections.

Optimizing control of coal flotation by neuro-immune algorithm

Coal flotation is widely used to separate commercially valuable coal from the fine ore slurry, and is an industrial process with nonlinear, multivariable, time-varying and long time-delay characteristics. The online detection of ash content of products as the operation performance evaluation in the flotation system is extraordinarily difficult because of the low solid content and numerous micro-bubbles in the slurry. Moreover, it is time-consuming by manual analysis. Consequently, the optimal separation is not usually maintained. A novel technique, called the neuro-immune algorithm (NIA) inspired by the biological nervous and immune systems, is presented in this paper for predicting the ash content of clean coal and performing the optimizing control to the coal flotation system. The proposed algorithm integrates the deeply-studied artificial neural network (ANN) and the developing artificial immune system (AIS). A two-layer back-propagation network was constructed offline based on the historical process data under the best system situation, using five parameters: the flow and the density of raw slurry, the input flows of water, the kerosene and the GF oil, as the inputs and the ash content of clean coal as the output. The immune cell of AIS is made up of six parameters above as the antigen. The cytokine based clone selection algorithm is used to produce the relative antibody. The detailed computation procedures about the hybrid neuro-immune algorithm are minutely discussed. The ash content of clean coal was predicted by NIA using the practical process data s: (308.6 174.7 146.1 43.6 4.0 9.4), and the absolute difference between the actual and computed ash content values was 0.0967%. The optimizing control on NIA was simulated considering two different situations where the ash content of clean coal was controlled downward from 10.00% or upward from 9.20% predicted by ANN to the target value 9.50%. The results indicate that the target ash content and the value of controlling parameters are obtained after several control cycles.

Role of Soluble Factors in Immune and Normal Sera in the Control of Giardiasis Due to Giardia Iamblia

Hyperimmune sera (HIS), raised against crude giardia antigen, on in vitro interaction, caused more agglutination of Giardia lamblia trophozoites. Heat inactivated HIS possessed a comparable agglutinating activity as the non-inactivated controls. Non-inactivated normal (unimmunized) serum caused immobilization of Giardia trophozoite, which was checked on heat inactivation. Antibodies in immune sera are mainly responsible for agglutination, whereas the heat labile non-immune components control the mobility of the intestinal parasite.

JNK1 negatively controls antifungal innate immunity by suppressing CD23 expression

Subject Code:H10 With the support by the National Natural Science Foundation of China,a study by Dr.Lin Xin(林欣)’s groups from the Institute for Immunology,School of Medicine,Tsinghua University demonstrates that JNK1negatively regulates CD23,a novel C-type lectin receptor(CLR)with antifungal properties。

Application of Improved Fuzzy Immune PID Controller to Bending Control System

Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is built.Taking into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put forward.Drawing on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID controller.The controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy controller.In order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model PSO algorithm.The simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and robustness.The quality of the strip shape can be further improved.

Advances in the study of tegument protein VP26 in white spot syndrome virus

White spot syndrome virus(WSSV)has become one of the most widespread causes of mortality in commercial shrimp farming due to its broad host range,rapid spread and high lethality.The tegument protein VP26,which is loosely connected to nucleocapsid and envelope,is one of the major proteins of WSSV and has an important role in the initial stages of viral infection.Recent research has emphasized the vp26 gene,the structure of the VP26 protein,and VP26 binding proteins.Such knowledge is required to develop VP26 immune adjuvant to control WSSV.This paper reviews the related research of VP26 to provide reference for the prevention and treatment of WSSV.