• Journal of Integrative Natural Science
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• v.16 no.1
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• pp.33-38
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• 2023

The follicle stimulating hormone receptor (FSHR) is a glycoprotein hormone, that belongs to the GPCR superfamily. FSHR plays a major role in reproduction. The aberrant activation of FHS receptor leads to infertility and several reproductive disorders. The recently recognized roles of the FSHR in diverse extragonadal tissues is also closely related to Alzheimer's disease and cancers. Analysing the structural characteristics of the receptor is important in understanding the pathophysiology of diseases associated with the receptor. In this present study, homology modelling of FSHR-TM domain was developed using four different templates. Totally 20 models were developed using single template-based approach and selected three based on the validation of RC plot, RMSD, ProSA, QMEAN and ERRAT values. The developed models would be useful for further research on the structural characteristics and binding characteristics of the FSHR-TM domain.

• Journal of Preventive Medicine and Public Health
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• v.56 no.5
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• pp.481-484
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• 2023

Epidemiological models, also known as host-agent-vector-environment models, are utilized in public health to gain insights into disease occurrence and to formulate intervention strategies. In this paper, we propose an epidemiological model that incorporates both conventional measures and tobacco endgame policies. Our model suggests that conventional measures focus on relationships among agent-vector-host-environment components, whereas endgame policies inherently aim to change or eliminate those components at a fundamental level. We also found that the vector (tobacco industry) and environment (physical and social surroundings) components were insufficiently researched or controlled by both conventional measures and tobacco endgame policies. The use of an epidemiological model for tobacco control and the tobacco endgame is recommended to identify areas that require greater effort and to develop effective intervention measures.

• Computers and Concrete
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• v.34 no.1
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• pp.63-77
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• 2024

In this research, we considered fractional order optimal control models for cancer, HIV treatment and glucose.These models are based on fractional order differential equations that describe the dynamics underlying the disease.It is formulated in term of left and right Caputo fractional derivative. Pontryagin's Maximum Principle is used as a necessary condition to find the optimal curve for the respective controls over fixed time period. The formulated problems are numerically solved using forward backward sweep method with generalized Euler scheme.

• International Journal of Stem Cells
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• v.17 no.2
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• pp.158-181
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• 2024

This study offers a comprehensive overview of brain organoids for researchers. It combines expert opinions with technical summaries on organoid definitions, characteristics, culture methods, and quality control. This approach aims to enhance the utilization of brain organoids in research. Brain organoids, as three-dimensional human cell models mimicking the nervous system, hold immense promise for studying the human brain. They offer advantages over traditional methods, replicating anatomical structures, physiological features, and complex neuronal networks. Additionally, brain organoids can model nervous system development and interactions between cell types and the microenvironment. By providing a foundation for utilizing the most human-relevant tissue models, this work empowers researchers to overcome limitations of two-dimensional cultures and conduct advanced disease modeling research.

• Journal of Dairy Science and Biotechnology
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• v.38 no.3
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• pp.134-141
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• 2020

Oxidative stress is a cascade reaction characterized by a significant increase in the amount of oxidized components. Free radicals produced by oxidative stress are one of the common features in several experimental models of disease, and contribute to wide range of neurodegenerative diseases, including Alzheimer's disease. Iron (II) species can participate in the Fenton, and Fenton-like reactions, to react with hydrogen peroxide and generate hydroxyl radical. As iron accumulation and oxidative stress are associated with the pathological progression of neurodegenerative diseases, iron chelation and antioxidant therapies have become strategies to combat these diseases. Due to the complexity of the redox system in vivo, a multifaceted approach may be an attractive therapeutic strategy. Further investigations are highly expected for the prevention and treatment of neurodegenerative diseases in future.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4655-4660
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• 2012

Opuntia humifusa, member of the Cactaceae family, was previously demonstrated to have radical scavenging, anti-inflammatory and anti-proliferative effects in in vitro models. It was suggested that O. humifusa could function in the prevention of carcinogenesis. To investigate the in vivo chemopreventive effect of O. humifusa, mice were fed a diet containing either 1% or 3% following 7, 12-dimethylbenz[a] anthracene (DMBA) and 12-O-tetradecanoylphorbol-13-acetate (TPA) induction of skin carcinogenesis. Significant decrease in the numbers of papilloma and epidermal hyperplasia were observed in mice fed with O. humifusa, compared to the control group. O. humifusa also upregulated high total antioxidant capacity and level of phase II detoxifying enzyme such as superoxide dismutase and glutathione S-transferase activity in the skin. Lipid peroxidation activity level was measured in skin cytosol and significantly inhibited in 3% OH fed group compared to the control group. These results suggest that O. humifusa exerts chemopreventive effects on chemical carcinogenesis in mouse skin and that prevention effects are associated with reduction of oxidative stress via the modulation of cutaneous lipid peroxidation, enhancing of total antioxidant capacity especially in phase II detoxifying enzyme system and partial apoptotic influence.

• IMMUNE NETWORK
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• v.15 no.4
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• pp.177-185
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• 2015

Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the large-scale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.

• Korea Journal of Hospital Management
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• v.17 no.4
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• pp.133-166
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• 2012

Hospitals tend to provide uniformed service to patients despite their various demands stemming from the severity of disease stages or the uncertainties in information of treatment stages. To identify service factors and provide effective contextually aware service models that patients demand depending on their evolving circumstances, the study conducted a survey on service quality based on importance and satisfaction of cancer patients. The study surveyed 286 patients and caregivers on importance and satisfaction through a questionnaire comprising of 17 questions at the outpatient clinic of cancer centers of university hospitals in 5 cities. Based on the risks of the disease and uncertainties in information of treatment stages, the cancer patients were grouped into diagnosis stage; low-risk treatment stage; high-risk treatment stage; stabilization stage. Depending on the patient's situation, the importance and satisfaction of service factors were ranked. These factors were categorized into 4 groups from a managerial perspective into 'keep it up area', 'focus here area', 'low priority area', 'overdone area'. This study provides an effective medical service model that can accommodate patients based on management areas of cancer patients.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.161-168
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• 2015

The epidemic is seemed to be extremely difficult for accurate predictions. The new models have been suggested that show quite different results. The basic reproductive number of epidemic for consequent time intervals are estimated based on stochastic processes. In this paper, we proposed a transmission distribution estimation for Ebola virus disease epidemic model. This estimation can be easier to obtain in real time which is useful for informing an appropriate public health response to the outbreak. Finally, we implement our proposed method with data from Guinea Ebola disease outbreak.