• BMB Reports
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• 제56권1호
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• pp.43-48
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• 2023

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

• 한국응용약물학회:학술대회논문집
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• 한국응용약물학회 2007년도 Proceedings of The Convention of The Korean Society of Applied Pharmacology
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• pp.47-62
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• 2007

• 대한한방내과학회지
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• 제41권6호
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• pp.993-1014
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• 2020

Objective: Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease. Antioxidant stress and inflammatory reactions are important causes of neurodegenerative diseases and are major causes of PD. Many animal experiments have been aimed at treating PD using the antioxidant effects of various traditional medicines and dietary supplements. This review reports the research investigating the antioxidant effects of herbs in in vivo PD models. Methods: The study consisted of a database search for articles related to PD and herbal treatments using the OASIS, NDSL, KTKP, Korean KISS, PubMed, Science Direct, CNKI, Wanfang, and J-STAGE databases. The search period was limited from the start of the search engine application to November 14, 2019. Studies were selected to confirm the antioxidant effects of herbal medicines in an in vivo PD model. Results: Eighty-two studies were summarized for plant species, extracts (or compounds), animal models, neurotoxins, and functional results. The most frequently used herbal materials were Bacopa monnieri, Camellia sinensis, Centella asiatica, and Withania somnifera. MPTP and 6-OHDA were the most commonly used neurotoxins for inducing PD. Most studies confirmed an increased expression and activation of antioxidant enzymes and a decrease in oxidative stress. Herbal materials showed their antioxidant effects regardless of the order of treatment and confirmed their possible use as treatments for the prevention and treatment of neurodegeneration. Conclusion: Many herbal medicines have antioxidant effects and are likely to be effective in delaying neurodegenerative damage by inhibiting or reducing oxidative stress by expression of antioxidant enzymes.

• 재활치료과학
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• 제1권1호
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• pp.39-56
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• 2012

서론 : 동물 연구는 작업치료에 직접적으로 적용할 수 없으나, 인간을 대상으로 한 연구와 함께 작업치료의 이론과 임상에 필수적인 지식을 제공한다. 본 논문의 목적은 신경과학적 관점에서 동물모델이 작업치료의 이론과 임상에 어떠한 가능성을 가져다 줄 수 있는지를 살펴보는 것이다. 본론 : 동물 모델을 통해 얻은 지식은 뇌신경 질환의 기전과 관련된 신경 회로에 대한 이해를 돕는다. 이러한 지식을 바탕으로, 연구자들은 뇌신경 질환에 대한 여러 가지 가정들을 동물 모델을 통해 확인해 볼 수 있다. 또한, 여러 동물 실험들을 통해 쌓인 지식들은 인간에게 적용할 수 있는 새로운 치료적 접근들을 제시해 줄 수 있으며 치료에 대한 효율성을 높여줄 수 있다. 결론 : 동물 모델을 통해 얻은 지식은 뇌신경 질환의 기전과 관련된 신경 회로에 대한 이해를 돕는다. 이러한 지식을 바탕으로, 연구자들은 뇌신경 질환에 대한 여러 가지 가정들을 동물 모델을 통해 확인해 볼 수 있다. 또한, 여러 동물 실험들을 통해 쌓인 지식들은 인간에게 적용할 수 있는 새로운 치료적 접근들을 제시해 줄 수 있으며 치료에 대한 효율성을 높여줄 수 있다.

• 생물정신의학
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• 제4권2호
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• pp.194-197
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• 1997

Neural network models, also known as connectionist models or PDP models, simulate some functions of the brain and may promise to give insight in understanding the cognitive brain functions. The models composed of neuron-like elements that are linked into circuits can learn and adapt to its environment in a trial and error fashion. In this article, the history and principles of the neural network modeling are briefly reviewed, and its applications to psychiatry are discussed.

• 대한인간공학회지
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• 제33권4호
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• pp.289-297
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• 2014

Objective: The purpose of this study is to identify the incidence risk of cardiovascular disease (CVD) in the workplace, and to suggest the prediction models for level of CVD incidence risk. Background: CVD can be caused by various factors related to personal habits such as diet and exercise, or genetics. However it can also be caused and aggravated by work, making the elimination of such risk factors at work crucial disease (KOSHA, 2013). Method: The distribution of CVD risk assessment levels of 162 workers was compared with the acquired medical examination data to discuss the necessity of assigning additional risk factors. Two alternative risk assessment models were given to enhance the accuracy of the evaluation; adjusting risk scores given in the KOSHA GUIDE H-1-2013 (alternative 1) and building a matrix of KOSHA GUIDE H-1-2013 and risk assessment results based on work condition levels (alternative 2). To verify the suggested models, medical examination results of 12 workers approved of convalescence were referred to. Results: The second alternative showed more relevance between the results and workers approved of convalescence in predicting the risk group when applied to actual heath examination data from the approved workers. The power of description of the new method for determining the risk of CVD incidence, 83.3%, is higher than that of KOSHA GUIDE H-1-2013, 25%. Conclusion: Results of this study imply that more approved workers had been from unmanaged normal groups than managed risk groups, raising the importance of CVD management. Application: The new prediction model considering working time and shift work developed in this study is expected to be a fundamental data for risk analysis and management of CVD in the workplace.

• The Plant Pathology Journal
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• 제19권3호
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• pp.129-132
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• 2003

Fusarium wilt of cucumber caused by Fusarium oxy-sporum f. sp. cucumerinum is a serious vascular disease worldwide. Biological control of Fusarium wilt in several crops has been accomplished by introducing non-pathogenic Fusarium sup. and other biocontrol agents in soil or in infection courts. In this study, quantitative models were used to determine the biocontrol efficacy of inundatively applied antagonist formulations and the length of their effectiveness in controlling Fusarium wilt of cucumber. Quantitative model of the form [Y=L (1${-exp}^{-kx}$)] best described the relationship between disease incidence (Y, %) and inoculum density (X) of isolates F51 and F55. Isolate F51 was selected as a more virulent isolate based on the extent of its effectiveness in causing the wilt disease. The degree of disease control (Xi/X) obtained with the density of the biocontrol agent (Z), was described by the model [Xi/X=A (1${-exp}^{-cz}$)]. The zeolite-based antagonist formulation amended with chitosan (ZAC) was better at lower rates of application and peaked at around 5 g/ kg of the potting medium, whereas the peat-based antagonist formulation (PA) peaked at around 10 g/kg of the potting medium. ZAC formulation provided significantly better suppression of Fusarium wilt as described by the curvilinear relationship of the type Y= a+bX+c$X^2$, where Y represents percent disease incidence and X represents sustaining effect of the biocontrol agent.

• 통합자연과학논문집
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• 제7권4호
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• pp.234-240
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• 2014

C-C chemokine receptor type 4 (CCR4) is a chemokine receptor with seven transmembrane helices and it belongs to the GPCR family. It plays an important role in asthma, lung disease, atopic dermatitis, allergic bronchopulmonary aspergillosis, cancer, inflammatory bowel disease, the mosquito-borne tropical diseases, such as dengue fever and allergic rhinitis. Because of its role in wide spectrum of disease processes, CCR4 is considered to be an important drug target. Three dimensional structure of the protein is essential to determine the functions. In the present study homology modeling of human CCR4 was performed based on crystal structure of CCR5 chemokine receptor. The generated models were validated using various parameters. Among the generated homology models the best one is selected based on validation result. The model can be used for performing further docking studies to identifying the critical interacting residues.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.171-180
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• 2020

With the recent increase in asthma, asthma has become recognized as one of the diseases. The perception that bronchial asthma is a chronic disease and requires treatment has been strengthened. In addition, asthma is recognized as a dangerous disease due to environmental changes and efforts are made to minimize these risks. However, the environmental impact on asthma is hardly a factor that individuals in asthmatic patients can cope with. Therefore, this study was conducted to see if the asthma disease could be replaced by the individual efforts of asthma patients. In particular, since the management of asthma is important during adolescence, we conducted research on asthma in teenagers. Utilizing support vector machines, artificial neural networks and deep learning techniques that have recently drawn attention, we propose models to predict the asthma of teenagers. The study also provides guidelines to avoid factors that can cause asthma in teenagers.

• 대한수학회지
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• 제58권1호
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• pp.45-67
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• 2021

In this paper, a mathematical dynamical system involving both deterministic (with or without delay) and stochastic "SIR" epidemic model with nonlinear incidence rate in a continuous reactor is considered. A profound qualitative analysis is given. It is proved that, for both deterministic models, if ��d > 1, then the endemic equilibrium is globally asymptotically stable. However, if ��d ≤ 1, then the disease-free equilibrium is globally asymptotically stable. Concerning the stochastic model, the Feller's test combined with the canonical probability method were used in order to conclude on the long-time dynamics of the stochastic model. The results improve and extend the results obtained for the deterministic model in its both forms. It is proved that if ��s > 1, the disease is stochastically permanent with full probability. However, if ��s ≤ 1, then the disease dies out with full probability. Finally, some numerical tests are done in order to validate the obtained results.