• Title/Summary/Keyword: miR-511

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Role of miR-511 in the Regulation of OATP1B1 Expression by Free Fatty Acid

  • Peng, Jin Fu;Liu, Li;Guo, Cheng Xian;Liu, Shi Kun;Chen, Xiao Ping;Huang, Li Hua;Xiang, Hong;Huang, Zhi Jun;Yuan, Hong;Yang, Guo Ping
    • Biomolecules & Therapeutics
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    • v.23 no.5
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    • pp.400-406
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    • 2015
  • MicroRNAs (miRNAs) are a family of non-coding RNA that are able to adjust the expression of many proteins, including ATP-binding cassette transporter and organic cation transporter. We sought to evaluate the effect of miR-511 on the regulation of OATP1B1 expression by free fatty acids. When using free fatty acids to stimulate Chang liver cells, we found that the expression of miR-511 increased significantly while the expression of OATP1B1 decreased. We also proved that SLCO1B1 is the target gene of miR-511 with a bioinformatics analysis and using the dual luciferase reporter assay. Furthermore, the expressions of SLCO1B1 and OATP1B1 decreased if transfecting Chang liver cells with miR-511, but did not increase when transfecting the inhibitors of miR-511 into steatosis cells. Our study indicates that miR-511 may play an important role in the regulation of OATP1B1 expression by free fatty acids.

Frequency and Type of Disputed rpoB Mutations in Mycobacterium tuberculosis Isolates from South Korea

  • Jo, Kyung-Wook;Lee, Soyeon;Kang, Mi Ran;Sung, Heungsup;Kim, Mi-Na;Shim, Tae Sun
    • Tuberculosis and Respiratory Diseases
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    • v.80 no.3
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    • pp.270-276
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    • 2017
  • Background: A disputed rpoB mutation is a specific type of rpoB mutation that can cause low-level resistances to rifampin (RIF). Here, we aimed to assess the frequency and types of disputed rpoB mutations in Mycobacterium tuberculosis isolates from South Korea. Methods: Between August 2009 and December 2015, 130 patients exhibited RIF resistance on the MTBDRplus assay at Asan Medical Center. Among these cases, we identified the strains with disputed rpoB mutation by rpoB sequencing analysis, as well as among the M. tuberculosis strains from the International Tuberculosis Research Center (ITRC). Results: Among our cases, disputed rpoB mutations led to RIF resistance in at least 6.9% (9/130) of the strains that also exhibited RIF resistance on the MTBDRplus assay. Moreover, at the ITRC, sequencing of the rpoB gene of 170 strains with the rpoB mutation indicated that 23 strains (13.5%) had the disputed mutations. By combining the findings from the 32 strains from our center and the ITRC, we identified the type of disputed rpoB mutation as follows: CTG511CCG (L511P, n=8), GAC516TAC (D516Y, n=8), CTG533CCG (L533P, n=8), CAC526CTC (H526L, n=4), CAC526AAC (H526N, n=3), and ATG515GTG (M515V, n=1). Conclusion: Disputed rpoB mutations do not seem to be rare among the strains exhibiting RIF resistance in South Korea.

Cytotoxic Activity and Three-Dimensional Quantitative Structure Activity Relationship of 2-Aryl-1,8-naphthyridin-4-ones

  • Kim, Yong-Jin;Kim, Eun-Ae;Chung, Mi-Lyang;Im, Chae-Uk
    • The Korean Journal of Physiology and Pharmacology
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    • v.13 no.6
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    • pp.511-516
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    • 2009
  • A series of substituted 2-arylnaphthyridin-4-one analogues, which were previously synthesized in our laboratory, were evaluated for their in vitro cytotoxic activity against human lung cancer A549 and human renal cancer Caki-2 cells using MTT assay. Some compounds (11, 12, and 13) showed stronger cytotoxicity than colchicine against both tumor cell lines, and compound 13 exhibited the most potent activity with $IC_{50}$ values of 2.3 and $13.4\;{\mu}M$, respectively. Three-dimensional quantitative structure activity relationship (3D-QSAR) studies of comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed. Predictive 3D-QSAR models were obtained with $q^2$ values of 0.869 and 0.872 and $r^2_{ncv}$ values of 0.983 and 0.993 for CoMFA and CoMSIA, respectively. These results demonstrate that CoMFA and CoMSIA models could be reliably used in the design of novel cytotoxic agents.

A Study of New Nurses' Resilience, Job Stress and Burnout (신입간호사의 회복탄력성, 직무스트레스 및 소진)

  • Park, Jung Ok;Lee, Mi Jung;Kim, Kyung Ja;Jang, Bong Hee;Yoo, Moon Sook
    • Journal of Home Health Care Nursing
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    • v.20 no.2
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    • pp.124-132
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    • 2013
  • Purpose: The purpose of the present study was to identify correlations between resilience, job stress, and burnout in new nurses. Methods: The participants were recruited from a university hospital. All participants (N=87) were new nurses whose clinical experience was 12 month and less. We gathered data regarding demographics, resilience, job stress, and the incidence of burnout among the nurses using structured questionnaires. We analyzed the data using t-test, one-way ANOVA, Pearson correlation, coefficien and multiple regression analyses. Results: Resilience of the nurses was negatively correlated with job stress (r=-.377, p<.001) and burnout (r=-.568, p<.001), while job stress was positively correlated with burnout (r=.511, p<.001). Resilience and job stress explained 42.5% of the variance in nurses' burnout ($R^2$=.425, F=37.071, p<.001). Conclusion: These results of the present study indicate that the management programs to address job stress and resilience for new nurses should be needed to reduce the burnout among them.

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Study on the Enumeration of Legionella in Environmental Water Samples Using Real-time PCR (Real-time PCR을 이용한 환경 중 물 시료의 레지오넬라 분석법 연구)

  • Lee, Jung-Hee;Park, Myoung-Ki;Kim, Yun-Sung;Yun, Hee-Jeong;Lee, Chang-Hee;Jeong, Ah-Yong;Yoon, Mi-Hye
    • Journal of Environmental Health Sciences
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    • v.45 no.5
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    • pp.511-519
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    • 2019
  • Objectives: The standard method for the enumeration of environmental Legionella is culturing, which has several disadvantages, including long incubation and poor sensitivity. The purpose of this study is to demonstrate the usefulness of real-time PCR and to improve the standard method. Methods: In 200 environmental water samples, a real-time PCR and culture were conducted to detect and quantify Legionella. Using with the results of the survey, we compared the real-time PCR with the culture. Results: Each real-time PCR assay had 100% specificity and excellent sensitivity (5 GU/reaction). In the culture, 36 samples were positive and 164 samples were negative. Based on the results of the culture, real-time PCR showed a high negative predictive value of 99%, 35 samples were true positive, 105 samples were true negative, 59 samples were false positive and one sample was a false negative. Quantitative analysis of the two methods indicated a weak linear correlation ($r^2=0.29$, $r^2=0.61$, respectively). Conclusions: Although it is difficult to directly apply quantitative analysis results of real-time PCR in the enumeration of environmental Legionella, it can be used as a complementary means of culturing to rapidly screen negative samples and to improve the accuracy of diagnosis.

Convergence Factors Affecting Critical Thinking Disposition, Clinical Decision Making Ability, Patient Safety Knowledge and Attitude to Perform Safety Nursing Activities in Clinical Practice on Nursing Students (간호대학생의 비판적 사고성향과 임상의사결정능력 및 환자안전 지식, 태도가 임상실습 시 환자안전 수행능력에 미치는 융복합적 영향요인)

  • Moon, MI-Young;Kim, JI-Young
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.511-521
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    • 2018
  • The purpose of this study was to investigate the effect of critical thinking, clinical decision making ability, patient safety knowledge and attitude ability to perform patient safety activities during clinical practice on nursing student's. Data were analyzed using t-tests and one-way ANOVA using the SPSS 21.0 program. As a result, the subjects' safety nursing activities was positively correlated critical thinking disposition(r=.278, p=.001), clinical decision making ability(r=.202, p=.014), patient safety attitude(r=.421, p<.001).The significant predictors of perform safety nursing activities were gender(${\beta}=.175$, p=.031), patient safety education(${\beta}=-2.266$, p=.025), critical thinking disposition(${\beta}=3.354$, p=.001), patient safety attitude(${\beta}=.368$, p<.001). These factors explained 31.5% of the variance(R2=.561, F=4.56 p<.001). It is necessary to establish a curriculum for critical thinking disposition, clinical decision making ability, and patient safety education in order to improve patient safety performance necessary for clinical practice education of nursing college students.

Development of Near-Infrared Reflectance Spectroscopy (NIRS) Model for Amylose and Crude Protein Contents Analysis in Rice Germplasm (근적외선 분광광도계를 이용한 벼 유전자원 아밀로스 및 단백질 함량분석을 위한 모델개발)

  • Oh, Sejong;Lee, Myung Chul;Choi, Yu Mi;Lee, Sukyeung;Oh, Myeongwon;Ali, Asjad;Chae, Byungsoo;Hyun, Do Yoon
    • Korean Journal of Plant Resources
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    • v.30 no.1
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    • pp.38-49
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    • 2017
  • The objective of this research was to develop Near-Infrared Reflectance Spectroscopy (NIRS) model for amylose and protein contents analysis of large accessions of rice germplasm. A total of 511 accessions of rice germplasm were obtained from National Agrobiodiversity Center to make calibration equation. The accessions were measured by NIRS for both brown and milled brown rice which was additionally assayed by iodine and Kjeldahl method for amylose and crude protein contents. The range of amylose and protein content in milled brown rice were 6.15-32.25% and 4.72-14.81%, respectively. The correlation coefficient ($R^2$), standard error of calibration (SEC) and slope of brown rice were 0.906, 1.741, 0.995 in amylose and 0.941, 0.276, 1.011 in protein, respectively, whereas $R^2$, SEC and slope of milled brown rice values were 0.956, 1.159, 1.001 in amylose and 0.982, 0.164, 1.003 in protein, respectively. Validation results of this NIRS equation showed a high coefficient determination in prediction for amylose (0.962) and protein (0.986), and also low standard error in prediction (SEP) for amylose (2.349) and protein (0.415). These results suggest that NIRS equation model should be practically applied for determination of amylose and crude protein contents in large accessions of rice germplasm.

Estimation of Greenhouse Tomato Transpiration through Mathematical and Deep Neural Network Models Learned from Lysimeter Data (라이시미터 데이터로 학습한 수학적 및 심층 신경망 모델을 통한 온실 토마토 증산량 추정)

  • Meanne P. Andes;Mi-young Roh;Mi Young Lim;Gyeong-Lee Choi;Jung Su Jung;Dongpil Kim
    • Journal of Bio-Environment Control
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    • v.32 no.4
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    • pp.384-395
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    • 2023
  • Since transpiration plays a key role in optimal irrigation management, knowledge of the irrigation demand of crops like tomatoes, which are highly susceptible to water stress, is necessary. One way to determine irrigation demand is to measure transpiration, which is affected by environmental factor or growth stage. This study aimed to estimate the transpiration amount of tomatoes and find a suitable model using mathematical and deep learning models using minute-by-minute data. Pearson correlation revealed that observed environmental variables significantly correlate with crop transpiration. Inside air temperature and outside radiation positively correlated with transpiration, while humidity showed a negative correlation. Multiple Linear Regression (MLR), Polynomial Regression model, Artificial Neural Network (ANN), Long short-term Memory (LSTM), and Gated Recurrent Unit (GRU) models were built and compared their accuracies. All models showed potential in estimating transpiration with R2 values ranging from 0.770 to 0.948 and RMSE of 0.495 mm/min to 1.038 mm/min in the test dataset. Deep learning models outperformed the mathematical models; the GRU demonstrated the best performance in the test data with 0.948 R2 and 0.495 mm/min RMSE. The LSTM and ANN closely followed with R2 values of 0.946 and 0.944, respectively, and RMSE of 0.504 m/min and 0.511, respectively. The GRU model exhibited superior performance in short-term forecasts while LSTM for long-term but requires verification using a large dataset. Compared to the FAO56 Penman-Monteith (PM) equation, PM has a lower RMSE of 0.598 mm/min than MLR and Polynomial models degrees 2 and 3 but performed least among all models in capturing variability in transpiration. Therefore, this study recommended GRU and LSTM models for short-term estimation of tomato transpiration in greenhouses.

The Association between Health Teachers' Stress, Burnout, and Self-Efficacy: A Path Analysis Approach (보건교사의 직무 스트레스와 소진 및 자기 효능감에 대한 구조모형: 경로분석)

  • Lee, Mi-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.317-325
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    • 2020
  • Using a structural model, this study aims to verify the association between job stress, burnout, and self-efficacy levels of health teachers responsible for school health. Structured questionnaires were administered to 814 health teachers, and validated through Structural Equation Modeling (SEM). The study results show that job stress of the health teacher was 2.9±0.64 and burnout was 2.6±0.52, which was slightly lower than the median of the Likert 5-point scale, while self-efficacy was 4.1±0.51. Various sub-factors contributed to the scores: 'student and family' and 'peer teacher's perception' were high for job stress, while 'work in charge' was high for burnout. Job stress of health teachers resulted in increased burnout and decreased self-efficacy. Furthermore, increased burnout significantly decreased self-efficacy. Hence, job stress affected burnout, and burnout affected self-efficacy. Our data clearly demonstrates that job stress is very important to reduce burnout of health teachers and increase their self-efficacy. Therefore, various efforts are required to lower job stress. This study will help to establish new policies and practical improvement plans to reduce job stress and exhaustion of health teachers, and consequently increase their self-efficacy.

Effect of Vigna angularis on Toll-like Receptor Activation and Pro-inflammatory Cytokine Production (적소두 추출물이 톨유사수용체 활성 및 염증유발 사이토카인의 생성에 미치는 영향)

  • Kim, Mi-Hwa;Jeoung, See-Hwa;Lee, Seung-Woong;Kim, Hyun-Kyu;Park, Chan-Sun;Jeon, Byung-Hun;Oh, Hyun-Mee;Rho, Mun-Chual
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.26 no.4
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    • pp.511-518
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    • 2012
  • The mechanisms of Toll-like receptor (TLR) signaling have been the focus of extensive studies because TLRs are the target of therapeutic intervention on multiple diseases. In this study, we investigated the inhibitory potential of Vigna angularis (azuki bean) on the TLR signaling. The effect of Vigna angularis extract (JSD) on TLR activation was investigated by assessing NF-${\kappa}B$ and AP-1 inducible secreted embryonic alkaline phosphatase (SEAP) activity. JSD significantly inhibited SEAP activity induced by poly I:C (TLR3 ligand) and poly I (TLR7 ligand) in a dose-dependent manner at concentration below 100 ${\mu}g/ml$ with no sign of cytotoxicity. Pretreatment of JSD markedly suppressed mRNA expressions of pro-inflammatory cytokines and adhesive molecules such as TNF-${\alpha}$, IL-6, RANTES, MCP-1 and ICAM-1 induced by TLR ligands. It also diminished the phosphorylation of $I{\kappa}B$ kinase and $I{\kappa}B$, and followed by $I{\kappa}B$-mediated nuclear translocation of p50, p65, and phosphorylation of p38, JNK, and IRF signaling pathway. In conclusion, our results suggest that Vigna angularis has inhibitory activity on TLR-3 and -7 signaling and it can be further developed as a remedy in curing TLR-related multiple diseases.