• 제목/요약/키워드: Immune System

검색결과 1,901건 처리시간 0.023초

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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    • 제33권5_6호
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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.

A New Artificial Immune Approach to Hardware Test Based on the Principle of Antibody Diversity

  • Lee, Sanghyung;Kim, Euntai;Park, Mignon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권1호
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    • pp.23-26
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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.

Osteoimmunology: cytokines and the skeletal system

  • Lee, Seoung-Hoon;Kim, Tae-Soo;Choi, Yong-Won;Lorenzo, Joseph
    • BMB Reports
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    • 제41권7호
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    • pp.495-510
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    • 2008
  • It has become clear that complex interactions underlie the relationship between the skeletal and immune systems. This is particularly true for the development of immune cells in the bone marrow as well as the functions of bone cells in skeletal homeostasis and pathologies. Because these two disciplines developed independently, investigators with an interest in either often do not fully appreciate the influence of the other system on the functions of the tissue that they are studying. With these issues in mind, this review will focus on several key areas that are mediated by crosstalk between the bone and immune systems. A more complete appreciation of the interactions between immune and bone cells should lead to better therapeutic strategies for diseases that affect either or both systems.

PSO를 이용한 인공면역계 기반 자율분산로봇시스템의 군 제어 (Swarm Control of Distributed Autonomous Robot System based on Artificial Immune System using PSO)

  • 김준엽;고광은;박승민;심귀보
    • 제어로봇시스템학회논문지
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    • 제18권5호
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    • pp.465-470
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    • 2012
  • This paper proposes a distributed autonomous control method of swarm robot behavior strategy based on artificial immune system and an optimization strategy for artificial immune system. The behavior strategies of swarm robot in the system are depend on the task distribution in environment and we have to consider the dynamics of the system environment. In this paper, the behavior strategies divided into dispersion and aggregation. For applying to artificial immune system, an individual of swarm is regarded as a B-cell, each task distribution in environment as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows: When the environmental condition changes, the agent selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other agent using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. In order to decide more accurately select the behavior strategy, the optimized parameter learning procedure that is represented by stimulus function of antigen to antibody in artificial immune system is required. In this paper, particle swarm optimization algorithm is applied to this learning procedure. The proposed method shows more adaptive and robustness results than the existing system at the viewpoint that the swarm robots learning and adaptation degree associated with the changing of tasks.

Actin Engine in Immunological Synapse

  • Piragyte, Indre;Jun, Chang-Duk
    • IMMUNE NETWORK
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    • 제12권3호
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    • pp.71-83
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    • 2012
  • T cell activation and function require physical contact with antigen presenting cells at a specialized junctional structure known as the immunological synapse. Once formed, the immunological synapse leads to sustained T cell receptor-mediated signalling and stabilized adhesion. High resolution microscopy indeed had a great impact in understanding the function and dynamic structure of immunological synapse. Trends of recent research are now moving towards understanding the mechanical part of immune system, expanding our knowledge in mechanosensitivity, force generation, and biophysics of cell-cell interaction. Actin cytoskeleton plays inevitable role in adaptive immune system, allowing it to bear dynamic and precise characteristics at the same time. The regulation of mechanical engine seems very complicated and overlapping, but it enables cells to be very sensitive to external signals such as surface rigidity. In this review, we focus on actin regulators and how immune cells regulate dynamic actin rearrangement process to drive the formation of immunological synapse.

인공 면역망과 인터넷에 의한 자율이동로봇 시스템 설계 (Design of Autonomous Mobile Robot System Based on Artificial Immune Network and Internet)

  • 이동제;이민중;최영규
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권11호
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    • pp.522-531
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    • 2001
  • Recently conventional artificial intelligence(AI) approaches have been employed to build action selectors for the autonomous mobile robot(AMR). However, in these approaches, the decision making process to choose an action from multiple competence modules is still an open question. Many researches have been focused on the reactive planning systems such as the biological immune system. In this paper, we attempt to construct an action selector for an AMR based on the artificial immune network and internet. The information from vision sensors is used for antibody. We propose a learning method for artificial immune network using evolutionary algorithm to produce antibody automatically. The internet environment for an AMR action selector shows the usefulness of the proposed learning artificial immune network application.

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Potential Implications of Long Noncoding RNAs in Autoimmune Diseases

  • Keun Hur;Sang-Hyon Kim;Ji-Min Kim
    • IMMUNE NETWORK
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    • 제19권1호
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    • pp.4.1-4.16
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    • 2019
  • Long noncoding RNAs (lncRNAs) are non-protein coding RNAs of more than 200 nucleotides in length. Despite the term "noncoding", lncRNAs have been reported to be involved in gene expression. Accumulating evidence suggests that lncRNAs play crucial roles in the regulation of immune system and the development of autoimmunity. lncRNAs are expressed in various immune cells including T lymphocytes, B lymphocytes, macrophages, neutrophils, dendritic cells, and NK cells, and are also involved in the differentiation and activation of these immune cells. Here, we review recent studies on the role of lncRNAs in immune regulation and the differential expression of lncRNAs in various autoimmune diseases.

Regulation of Intestinal Homeostasis by Innate Immune Cells

  • Kayama, Hisako;Nishimura, Junichi;Takeda, Kiyoshi
    • IMMUNE NETWORK
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    • 제13권6호
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    • pp.227-234
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    • 2013
  • The intestinal immune system has an ability to distinguish between the microbiota and pathogenic bacteria, and then activate pro-inflammatory pathways against pathogens for host defense while remaining unresponsive to the microbiota and dietary antigens. In the intestine, abnormal activation of innate immunity causes development of several inflammatory disorders such as inflammatory bowel diseases (IBD). Thus, activity of innate immunity is finely regulated in the intestine. To date, multiple innate immune cells have been shown to maintain gut homeostasis by preventing inadequate adaptive immune responses in the murine intestine. Additionally, several innate immune subsets, which promote Th1 and Th17 responses and are implicated in the pathogenesis of IBD, have recently been identified in the human intestinal mucosa. The demonstration of both murine and human intestinal innate immune subsets contributing to regulation of adaptive immunity emphasizes the conserved innate immune functions across species and might promote development of the intestinal innate immunity-based clinical therapy.

인공면역계 기반의 자율이동로봇군의 협조행동전략 결정 (Artificial immune network-based cooperative beharior strategies in collective autonomous mobile rotos)

  • 이동욱;심귀보
    • 전자공학회논문지S
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    • 제35S권3호
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    • pp.102-109
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    • 1998
  • In this paper, we propose a method of cooperative control 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 lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental codintion changes, a robot select an appropriate beharior stategy. And its behavior stategy is stimulated and suppressed by other robot using communiation. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idotopic network hypothesis. And it is used for decision making of optimal swarm stragegy.

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청상보하탕(淸上補下湯)을 복용한 천식, COPD 등 만성호흡기환자에 대한 후향적 연구 (A Retrospective Study of Chronic Pulmonary Disease Patients Treated with Chungsangboha-tang : IgE, eosinophil, PFT)

  • 백현정;방연희;김재효;김상진;김관일;이범준;정희재;정승기
    • 대한한방내과학회지
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    • 제37권3호
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    • pp.484-494
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    • 2016
  • Objective: This study was designed to analyze the treatment effects of Chungsangboha-tang through retrospective chart reviews.Methods: Fifty-one outpatients who had visited the Allergy, Immune & Respiratory System Division at the Kyung Hee Korean Medicine Hospital and who had taken Chungsangboha-tang from February 1, 2006, to February 1, 2016, had their basic medical records and examinationsretrospectively reviewed with respect to IgE, eosinophil, AST, and ALT. The PFT results of 11 patients were also investigated with respect to FEV1, FVC, and FEV1/FVC.Results: The percentage of males and females was 49.02% and 50.98%, respectively. The past histories of patients included asthma (66.67%), unspecified cough (21.57%), COPD (9.80%), allergic rhinitis (7.84%), and others. The subjective symptoms included cough (82.35%), sputum (39.22%), dyspnea (37.25%), and others. The most numerous pattern identification was wheezing dyspnea. IgE was significantly reduced, and eosinophil had a reduced tendency after 116.76±160.40 days of taking Chungsangboha-tang. PFT results also significantly increased after 213.09±266.62 days, while AST and ALT results showed a reduced tendency. In the asthmatic group, IgE also showed a reduced tendency. In particular, IgE was significantly reduced in patient groups taking medicine for more than 12 weeks.Conclusions: The conditions of patients with chronic pulmonary disease such as asthma and COPD significantly improved with Chungsangboha-tang after more than 12 weeks.