• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.17 no.1
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• pp.41-46
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• 2014

Purpose: The spontaneous seroconversion rate of hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) virus infection in children is lower than that in adults. However, few studies have investigated the rate of transition from the immune-tolerant to the early immune-clearance phase in children. Methods: From February 2000 to August 2011, we enrolled 133 children aged <18 years who had visited the Department of Pediatrics, Kyungpook National University Hospital. All subjects were in the immune-tolerant phase of HBeAg-positive CHB virus infection. The estimated transition rate into the early immune-clearance phase was calculated using the Kaplan-Meier method. Results: Among the 133 enrolled pediatric CHB virus infection patients in the HBeAg-positive immune-tolerant phase, only 21 children (15.8%) had converted to the early immune-clearance phase. The average age at entry into active hepatitis was $10.6{\pm}4.8$ years. The incidence of transition from the immune-tolerant to the early immune-clearance phase in these children was 1.7 episodes/100 patient-years. When analyzed by age, the estimated transition rate was 4.6%, 7.1%, and 28.0% for patients aged <6, 6-12, >12 years, respectively. Conclusion: In children with CHB virus infection, the estimated rate of entry into the early immune-clearance phase was 28.0% for patients aged 12-18 years, which was significantly higher than that observed for children aged <12 years (11.7%; p=0.001).

• The Korea Journal of Herbology
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• v.33 no.2
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• pp.79-84
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• 2018

Objective : The immune enhance is the main focus of current society that to increase resistance to invasion by pathogenic species of bacteria in body, stimulate the immune system and possibly protect against cancer or inflammatory disease. The present study aimed to evaluate the effect of Gentianae Radix extract on immune regulation in a LPS-induced mice model of acute inflammation. Methods : Gentianae Radix extract was administered orally at doses of 200 mg/kg/day or 400 mg/kg/day for 2 weeks before a intraperitoneally injection of LPS (1 mg/kg of 0.9% saline). After LPS-intraperitoneal injection 3 hours, blood was collected by cardiac puncture under ether anaesthesia from all animals, for the immune regulate efficacy verification based on blood or serum biomarkers (i.e., immune cells, cytokine, $PGE_2$, ROS, and $LTB_4$) analysis. Results : Compared to the control mice, the Gentianae Radix extract treatments significantly increased the count of immune cells (i.e., wite blood cell, neutrophils, and monocyte), and significantly reduced the lymphocyte. In addition, the Gentianae Radix extract treatments significantly decreased the pro-inflammatory cytokine (i.e., $IL-1{\beta}$, IL-6, and $TNF-{\alpha}$), and significantly increased IL-10 of anti-inflammatory cytokine. Furthermore, the Gentianae Radix extracts treatments significantly increased the levels of $PGE_2$ and significantly decreased the levels of ROS, and $LTB_4$. Conclusions : The results indicate that Gentianae Radix extract alleviated acute inflammatory reaction though regulation of immune meditor. Thus, Gentianae Radix extract may raw material of development a health food and medicine option for the immune enhance.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1296-1301
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• 2004

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy -neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.

• IMMUNE NETWORK
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• v.2 no.2
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• pp.65-71
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• 2002

The immunological mechanism of the responses to ultraviolet (UV) B radiation in mouse models were investigated by the suppression of contact hypersensitivity (CHS) and delayed type hypersensitivity (DTH), and susceptibility to infection. However, there are some differences in immune suppression according to the different models as well as the irradiation protocols. Therefore, this review focused on the differences in the suppressive effects on CHS and DTH, and susceptibility to infection in relation to the different in vivo models. Recent advances in cytokine knockout mice experiments have the reexamination of the role of the critical cytokines in UVB-induced immune suppression, which was investigated previously by blocking antibodies. The characteristics of the suppressor cells responsible for UVB-induced tolerance were determined. The subcellular mechanism of UVB-induced immune suppression was also explained by the induction of apoptotic cells through the Fas and Fas-ligand interaction. The phagocytosis of the apoptotic cells is believed to induce the production of the immune suppressive cytokine like interleukin-10 by macrophages. Therefore, the therapeutic UVB response to a skin disease, such as psoriasis, by the depletion of infiltrating T cells could be considered in the extension line of apoptosis and immune suppression.

• Radiation Oncology Journal
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• v.34 no.4
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• pp.250-259
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• 2016

Immune checkpoint blockades including monoclonal antibodies (mAbs) of cytotoxic T-lymphocyte antigen-4 (CTLA-4), programmed death-1 (PD-1), and programmed death-ligand 1 (PD-L1) have been emerged as a promising anticancer therapy. Several immune checkpoint blockades have been approved by US Food and Drug Administration (FDA), and have shown notable success in clinical trials for patients with advanced melanoma and non-small cell lung cancer. Radiotherapy is a promising combination partner of immune checkpoint blockades due to its potent pro-immune effect. This review will cover the current issue and the future perspectives for combined with radiotherapy and immune checkpoint blockades based upon the available preclinical and clinical data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.220-223
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• 2003

In this paper, we optimize distributed autonomous robotic system based on artificial immune system. Immune system has B-cell and T-cell that are two major types of lymphocytes. B-cells take part in humoral responses that secrete antibodies and T-cells take part in cellular responses that stimulate or suppress cells connected to the immune system. They have communicating network equation, which have many parameters. The distributed autonomous robotics system based on this artificial immune system is modeled on the B-cells and T-cells system. So performance of system is influenced by parameters of immune network equation. We can improve performance of Distributed autonomous robotics system based on artificial immune system.

• Journal of the Korean Society of Food Science and Nutrition
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• v.25 no.2
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• pp.352-366
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• 1996

The nutritional status of host has a profound effect on immune response and its ability to defend aganinst invading pathogen. Almost all nutrient dificiencies impaired host defence, and more than recommended levels of certain nutrient enhance immune response beyond that observed with 'adequate'. But high-fat diets have been associated with various types of immune dysfunction in experimental animal models and humans. Also, high linoleic acid suppressed immune function and growth and metastasis of tumor than saturated fatty acids. The present review focused on the effect of dietary lipid on immune fuction, cytokine production and clinical conditions like infection, autoimmune disease and cancer.

• Korean Journal of Biological Psychiatry
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• v.15 no.3
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• pp.147-151
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• 2008

This review briefly summarizes the relevant knowledge of psychoneuroimmunological basis for neuroimmunology, with particular emphasis on bidirectional neural-immune interactions. The immune system and the nervous system maintain extensive communication, including hardwiring of sympathetic and parasympathetic nerves to lymphoid organs. Immune system is modulated by various neurotransmitters such as acetylcholine, norepinephrine, substance P and histamine. Neuroendocrine hormones such as corticotrophin-releasing hormone(CRH) or substance P regulate cytokine balance. The immune system modulates brain activity including sleep and body temperature. Recent studies have revealed that psychological factors which influence immunity and immune-related disease may modulate brain-to -immune interaction. But, we still await the scientific research and evidences to prove whether or how behavioral or treatment intervention of stress can influence the development, progress or prevention of a specific disease.

• IMMUNE NETWORK
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• v.3 no.4
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• pp.261-267
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• 2003

The periodontal diseases are infections caused by bacteria in oral biofilm, a gelatinous mat commonly called dental plaque, which is a complex microbial community that forms and adhere to tooth surfaces. Host immune-pathogen interaction in periodontal disease appears to be a complex process, which is regulated not only by the acquired immunity to deal with ever-growing and -invading microorganisms in periodontal pockets, but also by genetic and/or environmental factors. However, our understanding of the pathogenesis in human periodontal diseases is limited by the lack of specific and sensitive tools or models to study the complex microbial challenges and their interactions with the host's immune system. Recent advances in cellular and molecular biology research have demonstrated the importance of the acquired immune system in fighting the virulent periodontal pathogens and in protecting the host from developing further devastating conditions in periodontal infections. The use of genetic knockout and immunodeficient mouse strains has shown that the acquired immune response, in particular, $CD4^+$ T-cells plays a pivotal role in controlling the ongoing infection, the immune/inflammatory responses, and the subsequent host's tissue destruction.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.303-308
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• 2004

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy-neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.