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

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

PURPOSE: The aim of the present study was to develop a serodiagnostic test for differentiation infected from vaccinated animal (DIVA) strategy accompanying the marker vaccine lacking an immunodominant epitope (IDE) of nucleoprotein of Newcastle disease virus (NDV). MATERIALS AND METHODS: Recombinant epitope-repeat protein (rERP) gene encoding eight repeats of the IDE sequence (ETQFLDLMRAVANSMR) by tetra-glycine linker was synthesized. Recombinant baculovirus carrying the rERP gene was generated to express the rERP in insect cells. Specificity and sensitivity of an indirect enzyme-linked immunosorbent assay (ELISA) employing the rERP was evaluated. RESULTS: The rERP with molecular weight of 20 kDa was successfully expressed by the recombinant baculovirus in an insect-baculovirus system. The rERP was antigenically functional as demonstrated by Western blotting. An indirect ELISA employing the rERP was developed and its specificity and sensitivity was determined. The ELISA test allowed discrimination of NDV infected sera from epitope deletion virus vaccinated sera. CONCLUSION: The preliminary results represent rERP ELISA as a promising DIVA diagnostic tool.
Animals ; Baculoviridae ; Blotting, Western ; Discrimination (Psychology) ; Enzyme-Linked Immunosorbent Assay ; Insects ; Molecular Weight ; Newcastle disease virus* ; Newcastle Disease* ; Nucleoproteins ; Sensitivity and Specificity

PURPOSE: Despite improved quality of intensive care, acute respiratory distress syndrome (ARDS) significantly contributes to mortality in critically ill children. As pre-existing definitions of ARDS were adult-oriented standards, the Pediatric Acute Lung Injury Consensus Conference (PALICC) group released a new definition of pediatric ARDS. In this study, we aimed to assess the performance of PALICC definition for ARDS risk stratification. METHODS: Total 332 patients who admitted to the intensive care unit at Severance Hospital from January 2009 to December 2016 and diagnosed as having ARDS by either the PALICC definition or the Berlin definition were retrospectively analyzed. Patient characteristics and mortality rates were compared between the individual severity groups according to both definitions. RESULTS: The overall mortality rate was 36.1%. The mortality rate increased across the severity classes according to both definitions (26% in mild, 37% in moderate and 68% in severe by the PALICC definition [P<0.001]; 20% in mild, 32% in moderate and 64% in severe by the Berlin definition [P<0.001]). The mortality risk increased only for severe ARDS in both definitions (hazard ratio [95% confidence interval]: 2.279 [1.414–3.672], P=0.001 by the PALICC definition; 2.674 [1.518–4.712], P=0.001 by the Berlin definition). There was no significant difference in mortality discrimination between the 2 definitions (difference in integrated area under the curve: 0.017 [−0.018 to 0.049]). CONCLUSION: The PALICC definition demonstrated similar discrimination power on PARDS' severity and mortality as the Berlin definition.
Acute Lung Injury* ; Berlin ; Child ; Consensus* ; Critical Care ; Critical Illness ; Discrimination (Psychology) ; Humans ; Intensive Care Units ; Mortality ; Respiratory Distress Syndrome, Adult* ; Retrospective Studies

Various commercial assays have recently been developed for detecting glutamate dehydrogenase (GDH) and/or toxin A/B to diagnose Clostridioides difficile infection (CDI). We compared the performance of two assays for the simultaneous detection of C. difficile GDH and toxin A/B, using 150 stool samples: C. DIFF QUIK CHEK COMPLETE (QCC; TechLab, Blacksburg, VA, USA) and RIDASCREEN Clostridium difficile GDH (RC-GDH) and Toxin A/B (RC-Toxin A/B; R-Biopharm, Darmstadt, Germany). For GDH detection, QCC and RC-GDH showed satisfactory sensitivity (95.7% and 94.3%, respectively) and specificity (92.5% and 93.8%, respectively) compared with C. difficile culture. For toxin A/B detection, QCC showed higher sensitivity than RC-Toxin A/B (60.0% vs 33.3%, P < 0.001) compared with toxigenic C. difficile culture. When the results of QCC or RC-GDH+RC-Toxin A/B were used as the first step of a two-step algorithm for diagnosing CDI, QCC permitted more accurate discrimination than RC of positive or negative results for CDI (77.3% and 65.3%, respectively). QCC is useful for the simultaneous detection of C. difficile GDH and toxin A/B as a part of the two-step algorithm for diagnosing CDI.
Clostridium difficile ; Discrimination (Psychology) ; Glutamate Dehydrogenase ; Glutamic Acid ; Sensitivity and Specificity

Corollary discharge mechanism refers to the suppression of sensory consequences of self-generated actions; a process that serves to distinguish between self and non-self based on discrimination of origination of action. It explains, say for example, why we cannot tickle ourselves. This review discusses how corollary discharge model is an essential neural integration mechanism central to the motor functioning of animal kingdom. In this article, research conducted in the field of corollary discharge has been reviewed to understand the neuroanatomical and neurophysiological basis of corollary discharge and gain insight into the biochemical basis of its dysfunction. This review article also explores the role of corollary discharge and its dysfunction in the presentation of symptoms of schizophrenia, discussing the findings from corollary discharge studies on schizophrenia population. Lastly, the link between schizophrenia psychopathology and corollary discharge dysfunction has been highlighted, and an attempt has been made to establish a case for correction of corollary discharge deficit in schizophrenia through neuromodulation.
Animals ; Discrimination (Psychology) ; Hallucinations ; Motor Activity ; Psychopathology ; Schizophrenia ; Transcranial Direct Current Stimulation

BACKGROUND: It is difficult for surgeons to reconstruct soft tissue defects of the great toe. This report aims to evaluate the utility and efficacy of innervated distally based first dorsal metatarsal artery (FDMA) flap with a wide pedicle for reconstruction of soft tissue defects of the great toe. METHODS: This is a retrospective report. Between January 2015 and December 2017, six cases of skin defect of the great toe were reconstructed with an innervated distally based FDMA flap with a wide pedicle. One case was excluded in this report because of chronic pain on the metatarsophalangeal joint due to osteoarthritis before the injury. A total of five cases were evaluated for flap survival and sensory recovery. The sensory recovery was investigated by two-point discrimination and Semmes-Weinstein monofilament tests. The average age of the selected patients was 40 years (range, 36 to 56 years), and the average size of the defect in the toe was 8.3 cm2 (range, 4 to 13.8 cm2). The average follow-up period was 29.4 months (range, 18 to 38 months). RESULTS: All patients survived without any complications. The average two-point discrimination test value was 8.0 ± 0.89 mm (range, 7 to 9 mm), and the average value obtained from the Semmes-Weinstein monofilament test was 4.53 ± 0.33 (range, 4.17 to 4.93). The average residual pain score evaluated with a visual analog scale was 1 (range, 0 to 2). Two patients complained of stiffness in the great toe below 30° of total range of motion during the early stages after surgery, but this stiffness gradually improved after rehabilitation. The average range of motion of three patients with a remaining metatarsophalangeal joint after surgery was 80° (range, 70° to 90°). All five cases could walk regularly without any unique footwear at the final follow-up. CONCLUSIONS: The innervated distally based FDMA flap with a wide pedicle could be a good alternative method for repair of soft tissue defects of the great toe.
Arteries ; Chronic Pain ; Discrimination (Psychology) ; Follow-Up Studies ; Humans ; Metatarsal Bones ; Metatarsophalangeal Joint ; Methods ; Osteoarthritis ; Perforator Flap ; Range of Motion, Articular ; Rehabilitation ; Retrospective Studies ; Skin ; Surgeons ; Toes ; Visual Analog Scale

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