• Title/Summary/Keyword: immune system

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Transcriptome Analysis to Characterize the Immune Response of NecroX-7 in Mouse CD4+ T Cells

  • Kim, Eun-Jung
    • Biomedical Science Letters
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    • v.21 no.2
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    • pp.60-68
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    • 2015
  • NecroX-7 is a novel small compound of the NecroX series based on the indole moiety, which has potent cytoprotective and antioxidant properties. We previously detected potential immune regulatory effects of NecroX-7 in immune related diseases like Graft-versus-Host Disease. However, the function and the underlying mechanisms of immunological effects of NecroX-7 in the immune system have not been well established. In this study, we investigated the immune response characterization of differentially expressed genes of NecroX-7 administration in $CD4^+$ T cells by microarray analysis. $CD4^+$ T cells stimulated with NecroX-7 ($40{\mu}M$) or vehicle for 72 hours resulted in the identification of 337 differentially expressed genes (1.5 fold, P<0.05) by expression profiling analysis. Twenty eight of the explored NecroX-7-regulated genes were related to immune system processes. These genes were validated by quantitative real-time PCR. The most significant genes were glutathione reductase, eukaryotic translation elongation factor 1, lymphotoxin-alpha, heat shock protein 9 and chloride intracellular channel protein 4. These findings demonstrate the strongly immune response of NecroX-7 in $CD4^+$ T cells, suggesting that cytoprotection and immune regulation may underlie the critical aspects of NecroX-7 exposure.

Adaptogenic effects of Panax ginseng on modulation of immune functions

  • Ratan, Zubair Ahmed;Youn, Soo Hyun;Kwak, Yi-Seong;Han, Chang-Kyun;Haidere, Mohammad Faisal;Kim, Jin Kyeong;Min, Hyeyoung;Jung, You-Jung;Hosseinzadeh, Hassan;Hyun, Sun Hee;Cho, Jae Youl
    • Journal of Ginseng Research
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    • v.45 no.1
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    • pp.32-40
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    • 2021
  • Traditional medicinal practices have used natural products such as adaptogens to treat inflammatory, autoimmune, neurodegenerative, bacterial, and viral diseases since the early days of civilization. Panax ginseng Myer is a common herb used in East Asian countries for millennia, especially in Korea, China, and Japan. Numerous studies indicate that ginseng can modulate the immune system and thereby prevent diseases. Although the human immune system comprises many different types of cells, multiple studies suggest that each type of immune cell can be controlled or stimulated by ginseng or its derivatives. Provisional lists of ginseng's potential for use against viruses, bacteria, and other microorganisms suggest it may prove to be a valuable pharmaceutical resource, particularly if higher-quality evidence can be found. Here, we reviewed the role of ginseng as an immune-modulating agent in attempt to provide a valuable starting point for future studies on the herb and the human immune system.

A New Artificial Immune Approach to Hardware Test Based on The Principle of Antibody Diversity (하드웨어 테스트를 위한 새로운 인공 면역 시스템)

  • 이상형;김은태;박민용
    • Proceedings of the IEEK Conference
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    • 2003.07c
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    • pp.2673-2676
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    • 2003
  • This Paper proposes a new artificial immune approach to hardware test. A Novel Algorithm of generating tolerance conditions is suggested based on the principle of the antibody diversity. Tolerance conditions in artificial immune system correspond to the antibody in biological immune system. The suggested method is applied to the on-line monitoring of a typical FSM (a decade counter) and its effectiveness is demonstrated by the computer simulation.

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A Feasibility Study on Application of Immune Network for Intelligent Controller of a Multivariable System

  • Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.115.5-115
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    • 2001
  • This paper suggests that the immune algorithm can effectively be used in tuning of a multivariable system. Then artificial immune network always has a new paraller decentralized processing mechanism for various situations, since antibodies communication to each other among different species of antibodies/B-cells through the simulation and suppression chains among antibodies that form a large-scaled network. In addition to that, the structure of the network is not fixed, but varies continuously. That is, the artificial immune network flexibly self-organizes according to dynamic changes of external environment (meta-dynamics function). However, up to the present time, models based on the conventional crisp approach ...

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Design of Steering Controller of AGV using Cell Mediate Immune Algorithm (세포성 면역 알고리즘을 이용한 AGV의 조향 제어기 설계에 관한 연구)

  • Lee, Yeong-Jin;Lee, Jin-U;Lee, Gwon-Sun
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.10
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    • pp.827-836
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    • 2001
  • The PID controller has been widely applied to the most control systems because of its simple structure and east designing. One of the important points to design the PID control system is to tune the approximate control parameters for the given target system. To find the PID parameters using Ziegler Nichols(ZN) method needs a lot of experience and experiments to ensure the optimal performance. In this paper, CMIA(Cell Mediated Immune Algorithm) controller is proposed to drive the autonomous guided vehicle (AGV) more effectively. The proposed controller is based on specific immune responses of the biological immune system which is the cell mediated immunity. To verify the performance of the proposed CMIA controller, some experiments for the control of steering and speed of that AGV are performed. The tracking error of the AGV is mainly investigated for this purpose. As a result, the capability of realization and reliableness are proved by comparing the response characteristics of the proposed CMIA controllers with those of the conventional PID and NNPID(Neural Network PID) controller.

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The Research of Immunological Function in Liver (간의 면역학적 역할에 대한 고찰)

  • 손창규
    • The Journal of Korean Medicine
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    • v.22 no.1
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    • pp.3-9
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    • 2001
  • In the view of oriental medicine, the liver is the general of the army in its function of protecting against the enemy. So this concept is very closely associated to the immunological function. Its relations with immunological function are as follows. 1. The liver produces most of the proteins and converts them with hepatocytes, composes 80% in total reticuloendothelial system with Kuffer cells & endothelial cells and has typical structure of sinusoidal vessels closely related with the blood system. 2. The liver plays an important role in innate immunity with Kuffer cells as well as with the molecules that the liver produces, related to complementary systems. 3. In the embryonic period, the liver is associated with immune associated cell growth and their maturation. After birth, it is associated with removing old red blood cells and with systematically modulating immune system through hormone metabolism. 4. The liver controls the autoimmune disease resulting from immune complex by removing molecules like immune complex. 5. In the processing of blood 19A from the digestive system, the liver has an important role in protecting the body from unnecessary immune responses. 6. In the oriental medical view, liver plays a major role in the immune function by storing blood and dispersing stagnated hepatoqi with the help of the kidneys and spleen.

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An Immune System Modeling for Realization of Cooperative Strategies and Group Behavior in Collective Autonomous Mobile Robots (자율이동로봇군의 협조전략과 군행동의 실현을 위한 면역시스템의 모델링)

  • 이동욱;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.03a
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    • pp.127-130
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    • 1998
  • In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

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Immune Responses to Viral Infection (바이러스 감염에 대한 면역반응)

  • Hwang, Eung-Soo;Park, Chung-Gyu;Cha, Chang-Yong
    • IMMUNE NETWORK
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    • v.4 no.2
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    • pp.73-80
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    • 2004
  • Viruses are obligate intracellular parasites which cause infection by invading and replicating within cells. The immune system has mechanisms which can attack the virus in extracellular and intracellular phase of life cycle, and which involve both non-specific and specific effectors. The survival of viruses depends on the survival of their hosts, and therefore the immune system and viruses have evolved together. Immune responses to viral infection may be variable depending on the site of infection, the mechanism of cell-to-cell spread of virus, physiology of the host, host genetic variation, and environmental condition. Viral infection of cells directly stimulates the production of interferons and they induce antiviral state in the surrounding cells. Complement system is also involved in the elimination of viruses and establishes the first line of defence with other non-specific immunity. During the course of viral infection, antibody is most effective at an early stage, especially before the virus enters its target cells. The virus- specific cytotoxic T lymphocytes are the principal effector cells in clearing established viral infections. But many viruses have resistant mechanism to host immune responses in every step of viral infection to cells. Some viruses have immune evasion mechanism and establish latency or persistency indefinitely. Furthermore antibodies to some viruses can enhance the disease by the second infection. Immune responses to viral infection are very different from those to bacterial infection.

An Artificial Immune system using Memory Cell for the Inventory Routing Problem (기억 세포를 이용한 재고-차량 경로 문제의 인공면역시스템)

  • Yang, Byoung-Hak
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2008.10a
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    • pp.236-246
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    • 2008
  • We consider the Inventory Routing problem(IRP) for the vending machine operating system. An artificial immune system(AIS) is introduced to solve the IRP. The IPR is an rolling wave planning. The previous solution of IRP is one of good initial solution of current IRP. We introduce an Artificial Immune system with memory cell (AISM) which store previous solution in memory cell and use an initial solution for current problem. Experiment results shows that AISM reduced calculations time in relatively less demand uncertainty.

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A DELAY DYNAMIC MODEL FOR HIV INFECTED IMMUNE RESPONSE

  • BERA, S.P.;MAITI, A.;SAMANTA, G.P.
    • Journal of applied mathematics & informatics
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    • v.33 no.5_6
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    • pp.559-578
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    • 2015
  • Human Immune Deficiency Virus (or simply HIV) induces a persistent infection that leads to AIDS causing death in almost every infected individual. As HIV affects the immune system directly by attacking the CD4+ T cells, to exterminate the infection, the natural immune system produces virus-specific cytotoxic T lymphocytes(CTLs) that kills the infected CD4+ T cells. The reduced CD4+ T cell count produce reduced amount of cytokines to stimulate the production of CTLs to fight the invaders that weakens the body immunity succeeding to AIDS. In this paper, we introduce a mathematical model with discrete time-delay to represent this cell dynamics between CD4+ T cells and the CTLs under HIV infection. A modified functional form has been considered to describe the infection mechanism. Characteristics of the system are studied through mathematical analysis. Numerical simulations are carried out to illustrate the analytical findings.