• Title/Summary/Keyword: Biological safety

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Effects of JSB, a Korean Medicine, on Behaviors and Biological Factors in a Mouse Model of Depression Induced by Restraint Stress (한약처방 JSB가 구금스트레스로 우울증을 유발한 생쥐의 행동과 생체지표에 미치는 영향)

  • Shin, Younmin;Lim, Hyung Taeck;Hwang, Eun-Young;Kim, Ka-Na;Lee, Won Kil;Kim, Yeongyeong;Jang, Heejin;Choi, Jeong June
    • Journal of Oriental Neuropsychiatry
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    • v.32 no.1
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    • pp.25-37
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    • 2021
  • Objectives: Depression is a mood disorder showing low energy, loss of interest, anhedonia, and anxiety. It affects a patients' daily life. This disease is considered a social problem because the patient may commit suicide in extreme cases. JSB is composed of 12 Korean medicinal herbs. It has been prescribed to patients with depression. The objective of this study is to investigate anti-depressive effects of JSB on restraint stress-induced depression in a mouse model. Methods: Depression was induced by restraint stress. Mice were orally administered JSB at 10, 20, or 40 mg/kg for 14 days. Forced swimming test (FST) and open field test (OFT) were performed. Brain-derived neurotrophic factor (BDNF) mRNA level was measured by real time-PCR. Plasma levels of corticosterone and serotonin were measured by ELISA. Blood levels of AST and ALS were measured using a biochemical analyzer. Results: JSB treatment significantly reduced the immobility time in FST. BDNF mRNA level was increased by JSB treatment in the hippocampi of mice. Although the expression of TNF-α was also increased by JSB, such increase was not statistically significant. The increase of corticosterone level in plasma induced by restraint stress was significantly down-regulated by JSB. JSB reduced blood level of AST, but not ALT. Conclusions: JSB has a potential to manage depression, setting a foundation for clinical application of Korean medicine with safety.

Study For Silver Generation System Furniture (고령세대의 시스템가구 방향성 고찰에 관한 연구)

  • Moon, Hyungjoon;Kim, Sung Hyun
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.114-120
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    • 2021
  • Furniture is an essential element in the area of human residence, and the necessity of system furniture suitable for the pursuit of unity in design, which clearly distinguishes the various and flexible arrangements and characteristics of space, is gradually expanding. The elderly population in Korea currently exceeds 15%, and is expected to be close to 40% by 2050. An increasing number of elderly generations are showing different behavioral patterns, such as sharing information, health care, and seeking independence from children. In order to maintain an independent daily life, a stable living environment has become essential, but as a result of a study that safety accidents caused by households increase due to a decrease in cognitive ability and physical ability, the need for a suitable household has increased. Therefore, the biological changes and characteristics of the elderly were investigated, and the concept definition, scope and limitations of system households were studied. In addition, by grasping the changes in the home appliance market and trends in the home appliance market, the design direction of system furniture required by the elderly was presented.

Identification of G Protein Coupled Receptors Expressed in Fat Body of Plutella Xylostella in Different Temperature Conditions (온도 차이에 따른 배추좀나방 유충 지방체에서 발현되는 G 단백질 연관 수용체의 동정)

  • Kim, Kwang Ho;Lee, Dae-Weon
    • Korean Journal of Environmental Agriculture
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    • v.40 no.1
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    • pp.1-12
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    • 2021
  • BACKGROUND: G protein-coupled receptors (GPCRs) are widely distributed in various organisms. Insect GPCRs shown as in vertebrate GPCRs are membrane receptors that coordinate or involve in various physiological processes such as learning/memory, development, locomotion, circadian rhythm, reproduction, etc. This study aimed to identify GPCRs expressed in fat body and compare the expression pattern of GPCRs in different temperature conditions. METHODS AND RESULTS: To identify GPCRs genes and compare their expression in different temperature conditions, total RNAs of fat body in Plutella xylostella larva were extracted and the transcriptomes have been analyzed via next generation sequencing method. From the fat body transcriptomes, genes that belong to GPCR Family A, B, and F were identified such as opsin, gonadotropin-releasing hormone receptor, neuropeptide F (NPF) receptor, muthuselah (Mth), diuretic hormone receptor, frizzled, etc. Under low temperature, expressions of GPCRs such as C-C chemokine receptor (CCR), opsin, prolactin-releasing peptide receptor, substance K receptor, Mth-like receptor, diuretic hormone receptor, frizzled and stan were higher than those at 25℃. They are involved in immunity, feeding, movement, odorant recognition, diuresis, and development. In contrast to the control (25℃), at high temperature GPCRs including CCR, gonadotropin-releasing hormone receptor, moody, NPF receptor, neuropeptide B1 receptor, frizzled and stan revealed higher expression whose biological functions are related to immunity, blood-brain barrier formation, feeding, learning, and reproduction. CONCLUSION: Transcriptome of fat body can provide understanding the pools of GPCRs. Identifications of fat body GPCRs may contribute to develop new targets for the control of insect pests.

Prevalence and extension of the anterior loop of the mental nerve in different populations and CBCT imaging settings: A systematic review and meta-analysis

  • Hadilou, Mahdi;Gholami, Leila;Ghojazadeh, Morteza;Emadi, Naghmeh
    • Imaging Science in Dentistry
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    • v.52 no.2
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    • pp.141-153
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    • 2022
  • Purpose: This study aimed to identify the prevalence and extension of the anterior loop (AL) of the mental nerve in different populations and according to different cone-beam computed tomography (CBCT) imaging settings. Materials and Methods: Medline/PubMed, Embase, Scopus, Web of Science, and ProQuest were searched. The main inclusion criterion was ALs evaluated in CBCT images. The quality of studies was assessed with the Joanna Briggs Institute risk of bias checklist. Subgroup analyses were conducted for sex, side, continent, voxel size, field of view, and type of CBCT-reconstruction images with a random-effects model. Results: Sixty-three studies with 13,743 participants (27,075 hemimandibles) were included. An AL was found in 40.6% (95% CI: 32.8%-48.9%, P<0.05) of participants and 36.0% (95% CI: 27.5%-45.5%, P<0.05) of hemimandibles, in 34.9% (95% CI: 25.1%-46.2%, P<0.05) of males and 34.5% (95% CI: 23.5%-47.4%, P<0.05) of females. The average length of ALs was 2.39 mm (95% CI: 2.07-2.70 mm, P<0.05). Their extension was 2.13 mm (95% CI: 1.54-2.73 mm, P<0.05) in males and 1.85 mm (95% CI: 1.35-2.36 mm, P<0.05) in females. Significant differences were observed regarding the prevalence and length of ALs among continents and for its measured length on different CBCT-reconstruction images, but not between other subgroups. Conclusion: AL was a relatively common finding. The voxel size and fields of view of CBCT devices were adequate for assessing AL; however, a 2-mm safety margin from anatomical structures(such as the AL) could be recommended to be considered when using CBCT imaging.

An Artificial Neural Network-Based Drug Proarrhythmia Assessment Using Electrophysiological Characteristics of Cardiomyocytes (심근 세포의 전기생리학적 특징을 이용한 인공 신경망 기반 약물의 심장독성 평가)

  • Yoo, Yedam;Jeong, Da Un;Marcellinus, Aroli;Lim, Ki Moo
    • Journal of Biomedical Engineering Research
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    • v.42 no.6
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    • pp.287-294
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    • 2021
  • Cardiotoxicity assessment of all drugs has been performed according to the ICH guidelines since 2005. Non-clinical evaluation S7B has focused on the hERG assay, which has a low specificity problem. The comprehensive in vitro proarrhythmia assay (CiPA) project was initiated to correct this problem, which presented a model for classifying the Torsade de pointes (TdP)-induced risk of drugs as biomarkers calculated through an in silico ventricular model. In this study, we propose a TdP-induced risk group classifier of artificial neural network (ANN)-based. The model was trained with 12 drugs and tested with 16 drugs. The ANN model was performed according to nine features, seven features, five features as an individual ANN model input, and the model with the highest performance was selected and compared with the classification performance of the qNet input logistic regression model. When the five features model was used, the results were AUC 0.93 in the high-risk group, AUC 0.73 in the intermediate-risk group, and 0.92 in the low-risk group. The model's performance using qNet was lower than the ANN model in the high-risk group by 17.6% and in the low-risk group by 29.5%. This study was able to express performance in the three risk groups, and it is a model that solved the problem of low specificity, which is the problem of hERG assay.

Evaluation of Lead Exposure Characteristics Using Domestic Occupational Exposure Literature Data (납에 대한 국내 직업적 노출 문헌 자료 고찰을 통한 노출 특성 평가)

  • Choi, Sangjun;Seo, Sung Chul;Park, Ju-Hyun;Koh, Dong-Hee;Kim, Hwan-Cheol;Park, Donguk;Choi, Hee Eun;Sung, Yeji;Oh, Se-Eun;Ko, Kyoung Yoon
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.32 no.1
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    • pp.1-9
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    • 2022
  • Objectives: The purpose of this study is to evaluate exposure characteristics of lead using data from the domestic occupational exposure literature. Methods: Occupational airborne exposure data on lead reported in the domestic literature from 1981 to 2018 were collected and re-analyzed. The exposure levels in the data were expressed as an estimated arithmetic mean and a weighted arithmetic mean (WAM) of the number of samples. Lead exposure characteristics were analyzed by industry, process, and year. Results: From a total of 14 documents, 8,305 airborne lead measurements for 17 industries were identified, and the WAM concentration in eight industries exceeded the occupational exposure limit of 50 ㎍/m3. Three industries (battery manufacturing, lead smelting, and litharge manufacturing) accounted for 95% of the total data, and exposure trends could be confirmed over 10 years. Exposure levels continue to decrease in all three industries. Conclusions: Considering the distribution outlook of lead and lead compounds, the main management targets are lead storage battery manufacturing and secondary smelting for lead regeneration.

Residues and Exposure Assessment of Carbendazim in Chamnamul on Field Trials for Revising Maximum Residue Limit in Korea (생산단계 참나물의 Carbendazim 잔류특성에 따른 노출평가 및 농약 잔류허용기준 개선)

  • Chang, Hee-Ra;Gwak, Hye-Min
    • Korean Journal of Environmental Agriculture
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    • v.41 no.3
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    • pp.153-157
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    • 2022
  • BACKGROUND: The residue dissipation pattern of pesticides for agricultural products during the pre-harvest period after the final application is important to prevent the maximum residue limit (MRL) violations in domestic and export markets. The MRL violations of carbendazim are observed more often in chamnamul by pesticide residue management surveys by the Ministry of Food and Drug Safety. The residue level at the pre-harvest interval (PHI) and the residue dissipation constant from the critical good agricultural practice (cGAP) trials could be estimated to meet the MRL and pose a health risk to consumers. METHODS AND RESULTS: Chamnamuls were harvested at 0, 1, 3, 5, 7, 10, and 14 days after application of carbendazim in accordance with critical GAP. The residue analysis in chamnanul was performed by HPLC-DAD with the C18 column. The limit of quantitation of carbendazim was 0.04 mg/kg, and the recoveries were 74.4 - 95.8% at the two spiked levels (LOQ and 10LOQ) of carbendazim. The dissipation rates in chamnamul were calculated from the residues at the sampling days by statistical method at a 95% confidence level. The biological half-lives of residual carbendazim in the field trials 1 and 2 were 4.9 and 4.4 days, respectively. CONCLUSION(S): In this dissipation study, the residue concentrations at the recommended PHI were higher than the established MRL in Korea. Therefore, the MRL is proposed based on the residue data sets from the trials conducted at the same cGAP and the dietary exposure assessment.

Endoscopic Laser Irradiation Condition of Urethra in Tubular Structure (관형 요도 조직 대상 내시경적 레이저 조사 조건 연구)

  • Hwarang, Shin;Seonghee, Lim;Yeachan, Lee;Hyun Wook, Kang
    • Journal of Biomedical Engineering Research
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    • v.44 no.1
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    • pp.85-91
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    • 2023
  • Stress urinary incontinence (SUI) occurs when abdominal pressure increases, such as sneezing, exercising, and laughing. Surgical and non-surgical treatments are the common methods of SUI treatment; however, the conventional treatments still require continuous and invasive treatment. Laser have been used to treat SUI, but excessive temperature increase often causes thermal burn on urethra tissue. Therefore, the optimal conditions must be considered to minimize the thermal damage for the laser treatment. The current study investigated the feasibility of the laser irradiation condition for SUI treatment using non-ablative 980 nm laser from a safety perspective through numerical simulations. COMSOL Multiphysics was used to analyze the numerical simulation model. The Pennes bioheat equation with the Beer's law was used to confirm spatio-temporal temperature distributions, and Arrhenius equation defined the thermal damage caused by the laser-induced heat. Ex vivo porcine urethral tissue was tested to validate the extent of both temperature distribution and thermal damage. The temperature distribution was symmetrical and uniformly observed in the urethra tissue. A muscle layer had a higher temperature (28.3 ℃) than mucosal (23.4 ℃) and submucosal layers (25.5 ℃). MT staining revealed no heat-induced collagen and muscle damage. Both control and treated groups showed the equivalent thickness and area of the urethral mucosal layer. Therefore, the proposed numerical simulation can predict the appropriate irradiation condition (20 W for 15 s) for the SUI treatment with minimal temperature-induced tissue.

A Study on the Improvement of Domestic Medical Device Classification System through the Analysis of Major Foreign Countries (주요국의 의료기기 품목 분류체계 조사분석을 통한 국내 의료기기 품목 신설 및 세분화 연구)

  • Ji Min, Son;Kang Hyeon, You;You Rim, Kim; Gyeong Min, Kwon;Hui Sung, Lee;Won Seuk, Jang
    • Journal of Biomedical Engineering Research
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    • v.44 no.1
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    • pp.41-52
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    • 2023
  • With the international change in the medical device market owing to the development of innovative medical engineering and the use of various raw materials, a systematic and rational medical device classification system is needed to safely manage newly developed medical devices. This study aims to improve the domestic medical device classification system by proposing product establishment and segmentation. It is based on medical device products from the United States and Europe that are only available in foreign systems and are more subdivided than domestic products. This study analyzes and compares the domestic and foreign medical device classification systems by examining laws, guidelines, and analysis reports in Korea, the United States, and Europe. In accordance with product establishment and segmentation criteria, products subject to improvement are presented. This study contributes to safely managing medical devices that do not fit with the current classification system and to solving the confusion caused by the lack of international harmony in product classification systems.

Measurements of the Hepatectomy Rate and Regeneration Rate Using Deep Learning in CT Scan of Living Donors (딥러닝을 이용한 CT 영상에서 생체 공여자의 간 절제율 및 재생률 측정)

  • Sae Byeol, Mun;Young Jae, Kim;Won-Suk, Lee;Kwang Gi, Kim
    • Journal of Biomedical Engineering Research
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    • v.43 no.6
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    • pp.434-440
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    • 2022
  • Liver transplantation is a critical used treatment method for patients with end-stage liver disease. The number of cases of living donor liver transplantation is increasing due to the imbalance in needs and supplies for brain-dead organ donation. As a result, the importance of the accuracy of the donor's suitability evaluation is also increasing rapidly. To measure the donor's liver volume accurately is the most important, that is absolutely necessary for the recipient's postoperative progress and the donor's safety. Therefore, we propose liver segmentation in abdominal CT images from pre-operation, POD 7, and POD 63 with a two-dimensional U-Net. In addition, we introduce an algorithm to measure the volume of the segmented liver and measure the hepatectomy rate and regeneration rate of pre-operation, POD 7, and POD 63. The performance for the learning model shows the best results in the images from pre-operation. Each dataset from pre-operation, POD 7, and POD 63 has the DSC of 94.55 ± 9.24%, 88.40 ± 18.01%, and 90.64 ± 14.35%. The mean of the measured liver volumes by trained model are 1423.44 ± 270.17 ml in pre-operation, 842.99 ± 190.95 ml in POD 7, and 1048.32 ± 201.02 ml in POD 63. The donor's hepatectomy rate is an average of 39.68 ± 13.06%, and the regeneration rate in POD 63 is an average of 14.78 ± 14.07%.