• Safety and Health at Work
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• v.7 no.4
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• pp.322-325
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• 2016

Background: Musculoskeletal disorders (MSDs) are a common problem among carpet weavers. This study was undertaken to introduce affecting personal and occupational factors in developing the number of MSDs among carpet weavers. Methods: A cross-sectional study was performed among 862 weavers in seven towns with regard to workhouse location in urban or rural regions. Data were collected by using questionnaires that contain personal, workplace, and information tools and the modified Nordic MSDs questionnaire. Statistical analysis was performed by applying Poisson and negative binomial mixed models using a full Bayesian hierarchical approach. The deviance information criterion was used for comparison between models and model selection. Results: The majority of weavers (72%) were female and carpet weaving was the main job of 85.2% of workers. The negative binomial mixed model with lowest deviance information criterion was selected as the best model. The criteria showed the convergence of chains. Based on 95% Bayesian credible interval, the main job and weaving type variables statistically affected the number of MSDs, but variables age, sex, weaving comb, work experience, and carpet weaving looms were not significant. Conclusion: According to the results of this study, it can be concluded that occupational factors are associated with the number of MSDs developing among carpet weavers. Thus, using standard tools and decreasing hours of work per day can reduce frequency of MSDs among carpet weavers.

• Genomics & Informatics
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• v.10 no.1
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• pp.16-22
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• 2012

Autosomal dominant polycystic kidney disease (ADPKD) is characterized by formation of multiple fluid-filled cysts that expand over time and destroy renal architecture. The proteins encoded by the $PKD1$ and $PKD2$ genes, mutations in which account for nearly all cases of ADPKD, may help guard against cystogenesis. Previously developed mouse models of $PKD1$ and $PKD2$ demonstrated an embryonic lethal phenotype and massive cyst formation in the kidney, indicating that $PKD1$ and $PKD2$ probably play important roles during normal renal tubular development. However, their precise role in development and the cellular mechanisms of cyst formation induced by $PKD1$ and $PKD2$ mutations are not fully understood. To address this question, we presently created $Pkd2$ knockout and $PKD2$ transgenic mouse embryo fibroblasts. We used a mouse oligonucleotide microarray to identify messenger RNAs whose expression was altered by the overexpression of the $PKD2$ or knockout of the $Pkd2$. The majority of identified mutations was involved in critical biological processes, such as metabolism, transcription, cell adhesion, cell cycle, and signal transduction. Herein, we confirmed differential expressions of several genes including aquaporin-1, according to different $PKD2$ expression levels in ADPKD mouse models, through microarray analysis. These data may be helpful in $PKD2$-related mechanisms of ADPKD pathogenesis.

• Biomolecules & Therapeutics
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• v.5 no.2
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• pp.165-173
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• 1997

This study was conducted to investigate the effect of DA-9601, an extract of Artemisiae Herba, which is known to possess mucoprotective action either by free radical scavenging effect or increase of mucus secretion, against animal models of inflammatory bowel disease (IBD) induced by trinirobenzene sulfonic acid (TNBS) or other noxious agents. Experimental colitis was induced by intracolonic administration of TNBS in 50% ethanol, or 1 ml of 7% acetic acid solution (AA), by subcutaneous injection of indomethacin (INDO) in rats, or by supplementing drinking water with 5% dextran sodium sulfate (DSS) in albino mice. DA-9601 was treated orally for 4 to 7 days. Animals were euthanized 1 day after the last treatment for morphological and biochemical analysises. All the noxious agents including TNBS, AA, INDO and DSS elicited severe colitis. The animals treated with DA-9601 showed a consistent, dose-related reduction in the severity of colitis, grossly and histologically. The reduction was significant (p<0.05) after administration of DA-9601 at dose range of 10 mg/kg or above. In TNBS-induced colitis, the rats receiving DA-9601 showed significantly decreased mucosal myeloperoxidase (MPO) and thiobarbituric acid-reactive substances (TBA-RS), when compared to control and mesalazine groups. Mucosal proinflammatory cytokine levels were also decreased after DA-9601 treatment. In conclusion, DA-9601 ameliorated macroscopic and histologic scores in experimental colitis either through decreasing oxidative stress or by attenuating cytokines involved in inflammation. DA-9601 could be a promising drug for the therapy of IBD.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.2
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• pp.490-495
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• 2004

Brain cells produce cytokines and chemokines during the inflammatory process of many neuronal diseases both in animal models and in patients. Inflammatory cytokines are the main responsible for the onset of inflammatory cascade. During the past decade, a growing corpus of evidence has indicated an important role of these cytokines in the development of brain damage. ZhenganXifeng-tang (ZGXFT) is a Korean herbal prescription, which has been successfully applied for the treatment of various neuronal diseases. However, its effect in experimental models remains unknown. Astrocytes are predominant neuroglial cells of the central nervous system and are actively involved in cytokine-mediated events in inflammatory disease. An inflammatory response associated with β-amyloid (Aβ) and interleukin (IL)-1β is responsible for the pathology of inflammation disease. To investigate the biological effect of ZGXFT, the author examined cytotoxicity, effect of cytokines (IL-6 and IL-8) secretion and expression of cyclooxygenase-2 (COX-2) on human astrocytoma cell line U373MG stimulated with IL-1β plus M fragment 25-35 (Aβ [25-35]). ZGXFT by itself had no effect on cell viability on human astrocytoma cells. The secretion of IL-6 and IL-8 was inhibited by pre-treatment with ZGXFT in human astrocytoma cells. In addition, the expression of COX-2 was induced by IL-1β plus AB[25-35] and was partially inhibited by treatment with ZGXFT. The author demonstrates the regulatory effects of inflammatory reactions by ZGXFT in human astrocytes for the first time and suggest the anti-inflammatory effect of ZGXFT may reduce and delay pathologic events of inflammatory disease.

• Nutrition Research and Practice
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• v.8 no.4
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• pp.386-390
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• 2014

BACKGROUND: Acanthopanax divaricatus var. albeofructus (ADA) extract has been reported to have anti-oxidant, immunomodulatory, and anti-mutagenic activity. MATERIALS/METHODS: We investigated the effects of ADA extract on two mouse models of Alzheimer's disease (AD); intracerebroventricular injection of ${\beta}$-amyloid peptide ($A{\beta}$) and amyloid precursor protein/presenilin 1 (APP/PS1)-transgenic mice. RESULTS: Intra-gastric administration of ADA stem extract (0.25 g/kg, every 12 hrs started from one day prior to injection of $A{\beta}1$-42 until evaluation) effectively blocked $A{\beta}1$-42-induced impairment in passive avoidance performance, and $A{\beta}1$-42-induced increase in immunoreactivities of glial fibrillary acidic protein and interleukin (IL)-$1{\alpha}$ in the hippocampus. In addition, it alleviated the $A{\beta}1$-42-induced decrease in acetylcholine and increase in malondialdehyde levels in the cortex. In APP/PS1-transgenic mice, chronic oral administration of ADA stem extract (0.1 or 0.5 g/kg/day for six months from the age of six to 12 months) resulted in significantly enhanced performance of the novel-object recognition task, and reduced amyloid deposition and IL-$1{\beta}$ in the brain. CONCLUSIONS: The results of this study suggest that ADA stem extract may be useful for prevention and treatment of AD.

• Biomolecules & Therapeutics
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• v.19 no.1
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• pp.118-125
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• 2011

Free radical scavenging and antioxidants have attracted attention as a way to prevent the progression of Parkinson's disease (PD). This study was carried out to investigate the effects of n-hexane fraction from Laurus nobilis L. (Lauraceae) leaves (HFL) on dopamine (DA)-induced intracellular reactive oxygen species (ROS) production and apoptosis in human neuroblastoma SH-SY5Y cells. Compared with apomorphine (APO, $IC_{50}=18.1\;{\mu}M$) as a positive control, the HFL $IC_{50}$ value for DA-induced apoptosis was $3.0\;{\mu}g/ml$, and two major compounds from HFL, costunolide and dehydrocostus lactone, were $7.3\;{\mu}M$ and $3.6\;{\mu}M$, respectively. HFL and these major compounds significantly inhibited ROS generation in DA-induced SH-SY5Y cells. A rodent 6-hydroxydopamine (6-OHDA) model of PD was employed to investigate the potential neuroprotective effects of HFL in vivo. 6-OHDA was injected into the substantia nigra of young adult rats and an immunohistochemical analysis was conducted to quantitate the tyrosine hydroxylase (TH)-positive neurons. HFL significantly inhibited 6-OHDA-induced TH-positive cell loss in the substantia nigra and also reduced DA induced $\alpha$-synuclein (SYN) formation in SH-SY5Y cells. These results indicate that HFL may have neuroprotective effects against DA-induced in vitro and in vivo models of PD.

• Research in Plant Disease
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• v.21 no.2
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• pp.67-73
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• 2015

Bacterial blossom blight of kiwifruit (Actinidia deliciosa) caused by Pseudomonas syringae pv. syringae is known to be largely affected by weather conditions during the blooming period. While there have been many studies that investigated scientific relations between weather conditions and the epidemics of bacterial blossom blight of kiwifruit, no forecasting models have been developed thus far. In this study, we collected all the relevant information on the epidemiology of the blossom blight in relation to weather variables, and developed the Pss-KBB Risk Model that is based on the Maryblyt model for the fire blight of apple and pear. Subsequent model validation was conducted using 10 years of ground truth data from kiwifruit orchards in Haenam, Korea. As a result, it was shown that the Pss-KBB Risk Model resulted in better performance in estimating the disease severity compared with other two simple models using either temperature or precipitation information only. Overall, we concluded that by utilizing the Pss-KBB Risk Model and weather forecast information, potential infection risk of the bacterial blossom blight of kiwifruit can be accurately predicted, which will eventually lead kiwifruit growers to utilize the best practices related to spraying chemicals at the most effective time.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.5
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• pp.403-412
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• 2021

Alzheimer's disease (AD) is the most common cause of dementia, showing progressive neurodegeneration. Although oral medications for symptomatic improvement still take a huge part of treatment, there are several limitations caused by pharmacology-based real world clinic. In this respect, non-pharmacologic treatment for AD is rising to prominence. Transcranial direct current stimulation (tDCS) is a one of the non-invasive neuromodulation technique, using low-voltage direct current. In terms of safety, tDCS already has been proven through numerous previous reports. This review focused on behavioral, neurophysiologic and histopathologic improvement by applying tDCS in AD rodent models, thereby suggesting reliable background evidence for human-based tDCS study.

• Clinical and Experimental Pediatrics
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• v.62 no.8
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• pp.301-306
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• 2019

Purpose: Coronary artery abnormalities (CAA) are the most important complications of Kawasaki disease (KD). Iron deficiency anemia (IDA) is a prevalent micronutrient deficiency and its association with KD remains unknown. We hypothesized that presence of IDA could be a predictor of CAA. Methods: This retrospective study included 173 KD patients, divided into 2 groups according to absence (group 1) and presence (group 2) of CAA. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a logistic regression model to estimate the association between CAA and other indicators. Due to collinearity between indicators of IDA, each indicator was paired with anemia in 3 models. Results: Serum iron, iron saturation, and ferritin concentration, the 3 indicators of IDA, were significantly higher in group 1 than in group 2. Three sets of models including anemia with iron indicators produced the OR of CAA of 3.513, 3.171, and 2.256, respectively. The 3 indicators of IDA were negatively associated with CAA, by OR of 0.965, 0.914, and 0.944, respectively. The areas under the curve (AUCs) of ferritin concentration, iron saturation, serum iron, anemia, and Kobayashi score were 0.907 (95% CI, 0.851-0.963), 0.729 (95% CI, 0.648-0.810), 0.711 (95% CI, 0.629-0.793), 0.638 (95% CI, 0.545-0.731), and 0.563 (95% CI, 0.489-0.636), respectively. Conclusion: Indicators of IDA, especially ferritin, were highly associated with CAA; therefore, they were stronger predictors of CAA than Kobayashi scores. IDA indicators can be used to predict CAA development and to suggest requirements for early interventions.

• Journal of Korean Society for Quality Management
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• v.48 no.4
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• pp.581-596
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• 2020

Purpose: purpose of this study was to propose the web application platform which can be to detect and discriminate various diseases and pest of tomato plant based on the large amount of disease image data observed in the facility or the open field. Methods: The deep learning algorithms uesed at the web applivation platform are consisted as the combining form of Faster R-CNN with the pre-trained convolution neural network (CNN) models such as SSD_mobilenet v1, Inception v2, Resnet50 and Resnet101 models. To evaluate the superiority of the newly proposed web application platform, we collected 850 images of four diseases such as Bacterial cankers, Late blight, Leaf miners, and Powdery mildew that occur the most frequent in tomato plants. Of these, 750 were used to learn the algorithm, and the remaining 100 images were used to evaluate the algorithm. Results: From the experiments, the deep learning algorithm combining Faster R-CNN with SSD_mobilnet v1, Inception v2, Resnet50, and Restnet101 showed detection accuracy of 31.0%, 87.7%, 84.4%, and 90.8% respectively. Finally, we constructed a web application platform that can detect and discriminate various tomato deseases using best deep learning algorithm. If farmers uploaded image captured by their digital cameras such as smart phone camera or DSLR (Digital Single Lens Reflex) camera, then they can receive an information for detection, identification and disease control about captured tomato disease through the proposed web application platform. Conclusion: Incheon Port needs to act actively paying.