Neuroinflammation is an important process underlying a wide variety of neurodegenerative diseases. Carvacrol (CAR) is a phenolic monoterpene commonly used as a food additive due to its antibacterial properties, but it has also been shown to exhibit strong antioxidative, anti-inflammatory, and neuroprotective effects. Here, we sought to investigate the effects of CAR on inflammation in the hippocampus and prefrontal cortex, as well as the molecular mechanisms underlying these effects. In our study, lipopolysaccharide was injected into the lateral ventricle of rats to induce memory impairment and neuroinflammation. Daily administration of CAR (25, 50, and 100 mg/kg) for 21 days improved recognition, discrimination, and memory impairments relative to untreated controls. CAR administration significantly attenuated expression of several inflammatory factors in the brain, including interleukin-1β, tumor necrosis factor-α, and cyclooxygenase-2. In addition, CAR significantly increased expression of brain-derived neurotrophic factor (BDNF) mRNA, and decreased expression of Toll-like receptor 4 (TLR4) mRNA. Taken together, these results show that CAR can improve memory impairment caused by neuroinflammation. This cognitive enhancement is due to the anti-inflammatory effects of CAR medicated by its regulation of BDNF and TLR4. Thus, CAR has significant potential as an inhibitor of memory degeneration in neurodegenerative diseases.
Animals ; Brain ; Brain-Derived Neurotrophic Factor ; Cyclooxygenase 2 ; Cytokines ; Discrimination (Psychology) ; Food Additives ; Hippocampus ; Inflammation ; Lateral Ventricles ; Lipopolysaccharides ; Memory ; Necrosis ; Neurodegenerative Diseases ; Neuroprotective Agents ; Phenol ; Prefrontal Cortex ; Rats ; RNA, Messenger ; Toll-Like Receptor 4

0.05). The area under the receiver operating characteristics curve (AUC) was 0.922 [95% confidence interval (CI) 0.89–0.95]. In external validation, the discrimination was good, with an AUC value of 0.833 (95% CI 0.70–0.92) for this model. Nomogram calibration plots indicated good agreement between the predicted and observed outcomes, exhibiting close approximation between the predicted and observed probability.CONCLUSION: We constructed a scoring model for predicting massive transfusion during cesarean section in women with placenta previa. This model may help in determining the need to prepare an appropriate amount of blood products and the optimal timing of blood transfusion.]]>
Area Under Curve ; Blood Transfusion ; Calibration ; Cesarean Section ; Cohort Studies ; Discrimination (Psychology) ; Early Intervention (Education) ; Erythrocytes ; Female ; Humans ; Logistic Models ; Maternal Age ; Nomograms ; Placenta Previa ; Placenta ; Placentation ; Postpartum Hemorrhage ; Pregnancy ; ROC Curve ; Ultrasonography

Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease characterized by production of autoantibodies to various nuclear antigens and overexpression of genes regulated by IFN-I called IFN signature. Genetic studies on SLE patients and mutational analyses of mouse models demonstrate crucial roles of nucleic acid (NA) sensors in development of SLE. Although NA sensors are involved in induction of anti-microbial immune responses by recognizing microbial NAs, recognition of self NAs by NA sensors induces production of autoantibodies to NAs in B cells and production of IFN-I in plasmacytoid dendritic cells. Among various NA sensors, the endosomal RNA sensor TLR7 plays an essential role in development of SLE at least in mouse models. CD72 is an inhibitory B cell co-receptor containing an immunoreceptor tyrosine-based inhibition motif (ITIM) in the cytoplasmic region and a C-type lectin like-domain (CTLD) in the extracellular region. CD72 is known to regulate development of SLE because CD72 polymorphisms associate with SLE in both human and mice and CD72−/− mice develop relatively severe lupus-like disease. CD72 specifically recognizes the RNA-containing endogenous TLR7 ligand Sm/RNP by its extracellular CTLD, and inhibits B cell responses to Sm/RNP by ITIM-mediated signal inhibition. These findings indicate that CD72 inhibits development of SLE by suppressing TLR7-dependent B cell response to self NAs. CD72 is thus involved in discrimination of self-NAs from microbial NAs by specifically suppressing autoimmune responses to self-NAs.
Animals ; Antigens, Nuclear ; Autoantibodies ; Autoantigens ; Autoimmune Diseases ; Autoimmunity ; B-Lymphocytes ; Cytoplasm ; Dendritic Cells ; Discrimination (Psychology) ; Humans ; Immunoreceptor Tyrosine-Based Inhibition Motif ; Lectins, C-Type ; Lupus Erythematosus, Systemic ; Mice ; RNA

PURPOSE: This study investigated the relationship between the item response time (iRT) and classic item analysis indicators obtained from computer-based test (CBT) results and deduce students' problem-solving behavior using the relationship. METHODS: We retrospectively analyzed the results of the Comprehensive Basic Medical Sciences Examination conducted for 5 years by a CBT system in Dankook University College of Medicine. iRT is defined as the time spent to answer the question. The discrimination index and the difficulty level were used to analyze the items using classical test theory (CTT). The relationship of iRT and the CTT were investigated using a correlation analysis. An analysis of variance was performed to identify the difference between iRT and difficulty level. A regression analysis was conducted to examine the effect of the difficulty index and discrimination index on iRT. RESULTS: iRT increases with increasing difficulty index, and iRT tends to decrease with increasing discrimination index. The students' effort is increased when they solve difficult items but reduced when they are confronted with items with a high discrimination. The students' test effort represented by iRT was properly maintained when the items have a 'desirable' difficulty and a 'good' discrimination. CONCLUSION: The results of our study show that an adequate degree of item difficulty and discrimination is required to increase students' motivation. It might be inferred that with the combination of CTT and iRT, we can gain insights about the quality of the examination and test behaviors of the students, which can provide us with more powerful tools to improve them.
Discrimination (Psychology) ; Humans ; Motivation ; Reaction Time ; Retrospective Studies

PURPOSE: This study analyzed a path through which factors influencing death anxiety in the community-dwelling elderly, assuming personal organismic factors and microsystemic factors based on the ecology model purported by Belsky (1980). METHODS: This study was performed with 189 elderly people. Data were collected through a self-report questionnaire. The data were analyzed using the SPSS and AMOS programs. RESULTS: The factors influencing death anxiety in the elderly were depression, family support, social network, and familism value, and the explanatory power of these variables was 22%. Death anxiety increased with higher depression, higher familism value, larger social network, and lower family support. Spiritual well-being and elderly discrimination experience had indirect effects on death anxiety, and these effects were mediated by depression. CONCLUSION: Depression, family support, social network, and familism value were found to influence death anxiety in the elderly, and the strongest effect came from depression. To reduce death anxiety in the elderly, it is important to improve their relationship with their family and friends. Moreover, support should be provided by establishing local systems, and intervention should be provided to alleviate depression.
Aged ; Anxiety ; Depression ; Discrimination (Psychology) ; Ecology ; Friends ; Humans

OBJECTIVES: Biosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning algorithms can extract features without human annotation, this study hypothesized that they could be used to screen unacceptable electrocardiograms (ECGs) that include noise. To test that, a deep learning-based model for unacceptable ECG screening was developed, and its screening results were compared with the interpretations of a medical expert. METHODS: To develop and apply the screening model, we used a biosignal database comprising 165,142,920 ECG II (10-second lead II electrocardiogram) data gathered between August 31, 2016 and September 30, 2018 from a trauma intensive-care unit. Then, 2,700 and 300 ECGs (ratio of 9:1) were reviewed by a medical expert and used for 9-fold cross-validation (training and validation) and test datasets. A convolutional neural network-based model for unacceptable ECG screening was developed based on the training and validation datasets. The model exhibiting the lowest cross-validation loss was subsequently selected as the final model. Its performance was evaluated through comparison with a test dataset. RESULTS: When the screening results of the proposed model were compared to the test dataset, the area under the receiver operating characteristic curve and the F1-score of the model were 0.93 and 0.80 (sensitivity = 0.88, specificity = 0.89, positive predictive value = 0.74, and negative predictive value = 0.96). CONCLUSIONS: The deep learning-based model developed in this study is capable of detecting and screening unacceptable ECGs efficiently.
Dataset ; Electrocardiography ; Humans ; Learning ; Mass Screening ; Monitoring, Physiologic ; Noise ; ROC Curve ; Sensitivity and Specificity ; Signal Detection, Psychological

Prostate cancer (CaP) is the most common cancer diagnosed among men in the United States and the fifth most common cancer among men in Korea. Unfortunately, the early stages of CaP may have no symptoms. Thus, early detection is very important and physicians managing voiding dysfunction must have awareness about CaP. The traditional tests used for early detection of CaP are the prostate-specific antigen (PSA) blood test and digital rectal examination. However, a high PSA level is not specific for CaP. Benign prostatic hyperplasia, prostatitis, urinary tract infection, and urinary retention can all cause a high PSA level. Thus, no test shows sufficient accuracy to truly be useful for screening men for CaP. A prostate biopsy is the only method that yields a definitive diagnosis of CaP; however, this test is invasive and uncomfortable. Recently, new biomarkers for CaP detection have been proposed to improve the accuracy of the PSA test. In this review, we summarize our knowledge of various new biomarkers, including PSA-associated biomarkers (the prostate health index and 4Kscore), molecular biomarkers (PCA3, TMPRSS2: ERG fusion gene, and various miRNAs), and proteomics-associated biomarkers, and the ways in which they may improve the detection rate of CaP. Accordingly, this review can raise awareness about CaP to physicians managing voiding dysfunction and be a good reference for them.
Biomarkers ; Biopsy ; Diagnosis ; Digital Rectal Examination ; Discrimination (Psychology) ; Early Detection of Cancer ; Hematologic Tests ; Humans ; Korea ; Male ; Mass Screening ; Methods ; Prostate ; Prostate-Specific Antigen ; Prostatic Hyperplasia ; Prostatic Neoplasms ; Prostatitis ; United States ; Urinary Retention ; Urinary Tract Infections

OBJECTIVE: To identify the power of tumor markers for predicting ovarian cancer according to menopausal status. METHODS: The medical records of 876 women with ovarian cysts were retrospectively reviewed. Cancer antigen 125 (CA 125), human epididymis protein 4 (HE4), and Risk of Ovarian Malignancy Algorithm (ROMA) were analyzed. Sensitivity, specificity, and the receiver operating characteristic (ROC) curve analyses of these tumor markers were evaluated. RESULTS: The sensitivity of ROMA was 66.7% and the specificity was 86.8% to detect ovarian malignancy. The patients were divided into 2 groups according to menopausal status: premenopause (n=532, 60.7%) and postmenopause (n=344, 39.3%). For diagnostic accuracy, ROMA was lower than HE4 in premenopausal women (82.7% vs. 91.4%) and lower than CA 125 in postmenopausal women (86.9% vs. 88.7%). The ROC curve analysis revealed that the power of ROMA was not significantly better than that of HE4 in premenopausal women (area under the curve [AUC], 0.731 vs. 0.732, p=0.832), and it was also not significantly better than that of CA 125 in postmenopausal women (AUC, 0.871 vs. 0.888, p=0.440). CONCLUSION: The discrimination power of tumor markers for ovarian cancer was different according to menopausal status. In predicting ovarian malignancy, ROMA was neither superior to HE4 in premenopausal women nor superior to CA 125 in postmenopausal women.
Biomarkers, Tumor ; CA-125 Antigen ; Discrimination (Psychology) ; Epididymis ; Female ; Humans ; Male ; Medical Records ; Menopause ; Ovarian Cysts ; Ovarian Neoplasms ; Postmenopause ; Premenopause ; Retrospective Studies ; ROC Curve ; Roma ; Sensitivity and Specificity

PURPOSE: The purpose of this study is to understand nursing college life experiences of North Korean Defectors and identify their meanings. METHODS: The study collected data through individual in-depth interviews among six undergraduates or graduates from nursing colleges, using phenomenological research methodology of Colaizzi-one of qualitative research approaches. RESULTS: Six categories drawn as a result of research include ‘Be bumped against hard reality wall’, ‘Bondage of discrimination and prejudice’, ‘Endure and stand with strength of faith’, ‘Myself grown up along with work’, ‘Becoming one amid differences’, and ‘Stepping towards unification’. CONCLUSION: The result of this study would contribute to understanding academic and interpersonal difficulties North Korean defectors might experience at nursing colleges. And it may also help people to learn that they would play an important role in integration of the nursing fields of South and North Korea as well as the nation's unification. Along the way, the results of the study could be basic data to establish national policy helping North Korean defectors adapt to nursing college life, and develop the supporting system of colleges as well as setting up appropriate supports and measures from the perspective of the nursing field.
Democratic People's Republic of Korea ; Discrimination (Psychology) ; Life Change Events ; Nursing ; Qualitative Research ; Research Design

BACKGROUND: This study aimed to determine the prognostic role of the categorized hemodynamic stage (HS) based on the hepatic venous pressure gradient (HVPG) in patients with portal hypertension. METHODS: Of 1,025 cirrhotic patients who underwent HVPG measurement, data on 572 non-critically-ill patients were collected retrospectively between 2008 and 2013. The following two HS categorizations were used: HS-1 (6–9, 10–12, 13–16, 17–20, and > 20 mmHg; designated as groups 1–5, respectively) and HS-2 (6–12, 13–20, and > 20 mmHg). Clinical characteristics, mortality rates, and prognostic predictors were analyzed according to the categorized HS. RESULTS: During the mean follow-up period of 25 months, 86 (15.0%) patients died. The numbers of deaths in HS-1 groups were 7 (6.3%), 7 (6.9%), 30 (18.0%), 20 (15.6%), and 22 (34.4%), respectively (P < 0.001). However, the traditional HVPG cutoffs of 10 and 16 mmHg did not improve the discrimination of mortality. In contrast, the mortality rates did differ significantly between the three HS-2 groups (P < 0.05). In the multivariate analysis, all models revealed that HS-2 was a common prognostic factor in predicting mortality. The mortality rates increased significantly according to HS-2 in patients with hypoalbuminemia (HVPG, 13–20 mmHg; hazard ratio [HR], 2.54 and HVPG > 20 mmHg; HR, 5.45) and intermediate model for end-stage liver disease (MELD) score (HVPG, 13–20 mmHg; HR, 3.86 and HVPG > 20 mmHg; HR, 8.77; P < 0.05). CONCLUSION: Categorizing HVPG values according to HS-2 is a useful prognostic modality in patients with portal hypertension and can play an independent role in predicting the prognosis in patients with hypoalbuminemia and an intermediate MELD score.
Discrimination (Psychology) ; Fibrosis ; Follow-Up Studies ; Hemodynamics ; Humans ; Hypertension, Portal ; Hypoalbuminemia ; Liver Diseases ; Mortality ; Multivariate Analysis ; Prognosis ; Retrospective Studies ; Venous Pressure