• Korean Journal of Microbiology
• /
• v.24 no.2
• /
• pp.127-132
• /
• 1986

Soybean nodule extract was prepared and tested for the effectiveness in the induction of asymbiotic nitrogen fixation of R. japonicum P-168. A Asymbiotic nitrogenase activity was increased over twice when glutamate was replaced by nodule extract in the induction media. Independently of the induction media, the nitrogenase activity in the assay media was also enhanced by the addition of nodule extract ($100-400{\mu}g$ protein/ml). The amount of ethylene in the assay media reached the highest point after 8 days incubation of R-168 and was decreased thereafter. The growth of R. japonicum R-168 was sensitive to the concentration of nodule extract. As a while, the effect of soybean root extract was not detected both in the induction of nitrogenase activity and in the growth of R. japonicum R-168.

• Toxicological Research
• /
• v.4 no.2
• /
• pp.159-179
• /
• 1988

This study was carried out to investigate the inhibitory effects of red ginseng extract on preneoplastic nodule formation in the rat liver using a rapid bioassay of hepatocarcinogenesis. Wistar male rats in test groups were fed diets containing 3.0, 0.3 or 003% of red genseng extract for 6 weeks after 2 week of dosing with diethylnitrosamine (DEAN, 200 mg/kg B.W., I.P.) or saline solution. The rats in the control groups were treated with DENA or saline alone. Three weeks after the beginning of the experiment, the two-thirds partial hepatectomy was performed on all animals. The inhibitory effects were investigated by measuring the number, total area and size of hyperplastic nodules enhanced by the 2/3 partial hepatectomy following induction with DENA. The results obtained were summarized as follows: 1. In general, the body weight gains of the rats fed diets containing red ginseng extract were higher than those of other groups.

• Journal of Microbiology and Biotechnology
• /
• v.16 no.4
• /
• pp.531-537
• /
• 2006

Lactic acid-producing bacteria (LABs) are known to have various beneficial properties for health. However, they are generally considered to have an adverse effect on teeth, since they produce acid. Nonetheless, milk and cheese containing specific LAB strains were recently found to have an inhibitory effect on dental caries in children, with an inhibitory activity towards the growth of Streptococcus mutans suggested as the responsible mechanism. Accordingly, the current study selected a probiotic candidate for oral health and studied its inhibitory mechanism against dental caries. Twenty-two LAB species belonging to eleven genuses were screened for promoting bone nodule formation using direct microscopic examination. Only one isolate, Weissella kimchii strain PL9001, increased the bone nodule formation significantly. The addition of W. kimchii strain PL9001 to bone cells prepared from mouse calvaria increased the bone nodule formation, calcium accumulation, and activity of alkaline phosphatase (the osteoblastic marker). Moreover, W. kimchii strain PL9001 inhibited the invasion of Streptococcus mutans into bone cells, and an organic extract of the culture supernatant of W. kimchii strain PL9001 inhibited the growth of Strep. mutans. Therefore, the results suggest that W. kimchii strain PL9001 can be used as a preventive measure against dental caries. This is the first time that a LAB has been shown to promote bone nodule formation and prevent the invasion of Strep. mutans into bone cells.

• Biomolecules & Therapeutics
• /
• v.9 no.4
• /
• pp.244-248
• /
• 2001

This study was performed to investigate therapeutic effects of Carthami Semen, Paeoniae Raidx extracts and chitosan on the growth and differentiation of human periodontal ligament cell. We found that co-treatment of methanol extracts of Carthami Semen and chitosan significantly increased the growth of human periodontal ligament cell. However, the sigle treatment groups of the extracts showed only 20-30% of the growth increase. Alkaline phosphase activity, one of differentiation markers, was increased approximately 1.5- fold by co-treatment of methanol extract of Carthami Semen and chitosan and calcified nodule formation was also increased at the similar levels as the alkaline phosphatase. But the single treatment groups showed only 20-30% increases. These results suggest that Carthami Semen and chitosan co-treatment can be used efficiently for periodontium regeneration.

• Korean Journal of Microbiology
• /
• v.23 no.3
• /
• pp.197-202
• /
• 1985

Different spheroplasting methods using glycine were tried to fast and slow-growing R. japonicum. Although one of the fast growers, R-271 showed normal growth in the presence of 4mg/ml glycine, cell morphology and colony forming unit (CFU) were greatly different from the cells of late log phase grown in the medium without glycine. In parallel, R-271 became sensitive to lysozyme after 6hr incubation in medium containing glycine (3.5mg/ml). After 24hr cultivation in glycine $(100{\mu}g/ml)$ medium, one of the slow growers, R-214 was also susceptible to lysozyme action. Spgeroplasting frequency of both strains was over 96% by glycine and lysozyme. Spheroid cell was also found in bacteroids from root nodule and soluble glycine content was relativiely smaller than other amino acids in soybean nodule extracts.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.6
• /
• pp.35-43
• /
• 2009

In the Computer Aided Diagnosis(CAD) System, the efficient way of classifying nodules from chest CT images of a patient is to perform the classification of the remaining part after the pulmonary vessel extraction. During the pulmonary vessel extraction, due to the small difference between the vessel and nodule features in imaging studies such as CT scans after having an injection of contrast, nodule maybe extracted along with the pulmonary vessel. Therefore, the pulmonary vessel extraction method plays an important role in the nodule classification process. In this paper, we propose a nodule reclassification method based on vessel thickness analysis. The proposed method consist of four steps, lung region searching step, vessel extraction and thinning step, vessel topology formation and correction step and the reclassification of nodule in the vessel candidate step. The radiologists helped us to compare the accuracy of the CAD system using the proposed method and the accuracy of general one. Experimental results show that the proposed method can extract pulmonary vessels and reclassify false-positive nodules accurately.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.27 no.2
• /
• pp.23-33
• /
• 2014

Objectives: In this study, the author aimed to evaluate the effect of EtOH extract of Ganoderma lucidum (GLE) on osteoblast proliferation in rat fetus calvarial cells. Methods: The osteoblast separated from rat fetus calvariae was cultivated for 6~21 days and evaluated the cell function. After the addition of GLE on the culture medium, we determined the effect of GLE on the cell viability, cell proliferation, bone matrix protein synthesis, alkaline phosphatase (ALP) activity, collagen synthesis and calcified nodule formation of the cultivated osteoblast. Results: GLE did not change the survival rate of rat calvarial osteoblast. GLE increased the proliferation of rat calvarial osteoblast. GLE increased ALP activity of rat calvarial osteoblast. GLE increased bone matrix protein synthesis of rat calvarial osteoblast. GLE increased collagen synthesis of rat calvarial osteoblast. GLE slightly affected calcified nodule formation of rat calvarial osteoblast. Conclusions: This study suggests that Ganoderma lucidum might improve the osteoporosis resulted from augmentation of osteoblast proliferation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.6 no.1
• /
• pp.37-44
• /
• 2013

In this paper, we propose the pulmonary nodule detection system based on voxel classification. The proposed system consists of three main steps. In the first step, we segment lung volume. In the second step, the lung structures are initially segmented. In the last step, we classify the nodules using voxel classification. To describe characteristics of each voxel, we extract the log-polar sampling based features. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.5 no.1
• /
• pp.13-19
• /
• 2012

In this paper, we propose the pulmonary nodule detection method based on hierarchical 3D block analysis. The proposed system consists of two main part. In the first part, we select the block which is need to analysis. In the second part, we analysis the selected blocks. We extract the shape based features of the object in the selected blocks. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.1
• /
• pp.347-370
• /
• 2019

In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.