Ixeris dentata var. albiflora Nakai, a herbal plant, is often used to make a strong stomach as an antiphlogistic used when dyspepsia and to improve appetite in Korea and China. And also it is used for adult diseases such as diabetes and liver diseases as Korean traditional medicine. In this study, the composition and DPPH radical scavenging activities of the root of Ixeris dentata var. albiflora Nakai and its effects on cell viability on vero and chang cells were investigated. Moisture, crude ash, crude protein and crude lipid were 79.14, 2.49, 8.28 and 2.56 g/100 g respectively. The highest mineral content was K. The major free sugars were glucose, fructose and sucrose. Major fatty acid are linoleic acid, palmic acid and linolenic acid. Major amino acids were glutamic acid, arginine and aspartic acid and the total contents of amino acids were 28.12 mg/g. The methanol extracts were further fractionated with n-hexane, chloroform, ethylacetate, butanol and water to get an active fraction. In addition, cell viabilities in each fraction were determined. Methanol extract, butanol, and aqueous fraction showed strong survival rates in vero cell and chang cell viability test, and hexane, chloroform, and ethylacetate fraction were examined for toxin in a cell. The root of Ixeris dentata var. albiflora Nakai had scavenging activities against DPPH radicals in a dose-dependent assay. Ethylacetate fraction's SC50 was 6.8 microgram/mL, very strong DPPH radical scavenging activities, but water fraction did not show any activity.
Adult ; alpha-Linolenic Acid ; Amino Acids ; Appetite ; Arginine ; Aspartic Acid ; Asteraceae ; Carbohydrates ; Cell Survival ; China ; Chloroform ; Dyspepsia ; Fructose ; Glucose ; Glutamic Acid ; Hexanes ; Humans ; Korea ; Linoleic Acid ; Liver Diseases ; Medicine, Korean Traditional ; Methanol ; Plants ; Stomach ; Sucrose ; Survival Rate ; Vero Cells ; Water

The effectiveness of coronavirus disease 2019 (COVID-19) vaccines had been shown in many studies in adult population, however, the real-world evidence in the childhood population was scarce. We aimed to organize the collective expert’s opinions on adolescent vaccination against COVID-19 in Korea, therefore to guide the vaccination policy in the setting of available evidence. The Delphi panels responded that adolescents were greatly impacted by the quarantine measures, and COVID-19 is an important health problem for adolescents.Panels responded that in general, the benefits of the COVID-19 vaccine overweigh the potential risks in Korean adolescents. Continuing monitoring of available data is needed to provide the best vaccination practices in adolescents guided by the updated evidence.

Background: Depression and anxiety are prevalent and can cause suffering in patients with Parkinson’s disease (PD). The Korean version of the Hospital Anxiety and Depression Scale (K-HADS) has been widely used to assess depression and anxiety symptoms in Korean patient with PD. The present study aimed to assess the reliability and validity of the K-HADS using Rasch measurement analysis. Methods: A total of 106 PD patients (54 males, 52 females) who met the diagnostic criteria of the United Kingdom Brain Bank were recruited. Unidimensionality, the Rasch model fit, response category functioning, patient-item distribution, and the separation reliability of the K-HADS depression (K-HADS-D) and anxiety (K-HADS-A) subscales were statistically evaluated. Results: The mean K-HADS-D and K-HADS-A scores were 8.08±4.69 (mean±standard deviation) and 5.44±4.18, respectively. Cronbach’s α coefficients of the K-HADS-D and K-HADS-A were 0.82 and 0.83. The Rasch analysis revealed that the K-HADS-D and K-HADS-A showed unidimensionality and no disordered functioning was observed in the 4-point polytomous scale. However, both K-HADS-D and K-HADS-A exhibited suboptimal separation reliability, while the K-HADS-A showed inadequate scale targeting with floor effect. Conclusions The present study comprises the first validation of the K-HADS using the Rasch measurement model, suggesting that the K-HADS-D and K-HADS-A are clinimetrically acceptable and reliable scales for use in Korean patients with PD. However, the moderate person separation indices implicate the relatively low discriminatory ability of the K-HADS in our study patients.

Vaccination is the most efficient method for infectious disease prevention. Parenteral injections such as intramuscular, intradermal, and subcutaneous injections have several advantages in vaccine delivery, but there are many drawbacks. Thus, the development of a new vaccine delivery system has long been required. Recently, microneedles have been attracting attention as new vaccination tools. Microneedle is a highly effective transdermal vaccine delivery method due to its mechanism of action, painlessness, and ease of use. Here, we summarized the characteristics of microneedles and the possibilities as a new vaccine delivery route.
Communicable Diseases ; Injections, Subcutaneous ; Methods* ; Vaccination ; Vaccines*

BACKGROUND AND OBJECTIVES: We hypothesized that fetal echocardiography (echoCG) is an accurate diagnostic tool reflecting well postnatal echoCG findings and outcomes. SUBJECTS AND METHODS: We reviewed the medical records of 290 pregnant women, including 313 fetuses, who were examined by fetal echoCG at the Seoul National University Children's Hospital from January 2008 through April 2011. RESULTS: The mean gestational age at diagnosis was 26.2+/-5.2 weeks. The mean age of mothers at diagnosis was 31.7+/-3.8 years. We identified indications for fetal echoCG in 279 cases. The most common indication was abnormal cardiac findings in obstetrical screening sonography (52.0%). Among the 313 echoCG results, 127 (40.6%) were normal, 13 (4.2%) were minor abnormalities, 35 (11.2%) were simple cardiac anomalies, 50 (16.0%) were moderate cardiac anomalies, 60 (19.2%) were complex cardiac anomalies, 16 (5.1%) were arrhythmias, and 12 (3.8%) were twin-to-twin transfusion syndrome. The most common congenital heart disease was tetralogy of Fallot (23 fetuses, 15.9%). One hundred forty-eight neonates were examined by echoCG. We analyzed differences between fetal echoCG and postnatal echoCG. In 131 (88.5%) cases, there was no difference; in 15 (10.1%), there were minor differences; and in only 2 (1.4%) cases, there were major differences. CONCLUSION: There is a recent increase in abnormal cardiac findings of obstetric ultrasonography screenings that indicate fetal echoCG. Fetal echoCG is still a good, accurate diagnostic method for congenital heart disease.
Arrhythmias, Cardiac ; Echocardiography ; Female ; Fetofetal Transfusion ; Fetus ; Gestational Age ; Heart ; Heart Defects, Congenital ; Heart Diseases ; Humans ; Infant, Newborn ; Mass Screening ; Medical Records ; Mothers ; Pregnancy ; Pregnant Women ; Prenatal Diagnosis ; Tetralogy of Fallot ; Ultrasonography, Prenatal

Hypervirulent Klebsiella pneumoniae (hvKp) infections are being increasingly reported globally, and cause severe central nervous system (CNS) and multiorgan infections even in immunocompetent individuals. The recent emergence of hvKp antibiotic resistance has generated escalating concern about effective infection control for this potentially neuroinvasive pathogen. Herein, we report two cases of Klebsiella pneumoniae-related CNS infection, including one patient with antimicrobial-resistant hvKp, confirmed by string test that demonstrated a hypermucoviscous phenotype.

Hypervirulent Klebsiella pneumoniae (hvKp) infections are being increasingly reported globally, and cause severe central nervous system (CNS) and multiorgan infections even in immunocompetent individuals. The recent emergence of hvKp antibiotic resistance has generated escalating concern about effective infection control for this potentially neuroinvasive pathogen. Herein, we report two cases of Klebsiella pneumoniae-related CNS infection, including one patient with antimicrobial-resistant hvKp, confirmed by string test that demonstrated a hypermucoviscous phenotype.

Hypervirulent Klebsiella pneumoniae (hvKp) infections are being increasingly reported globally, and cause severe central nervous system (CNS) and multiorgan infections even in immunocompetent individuals. The recent emergence of hvKp antibiotic resistance has generated escalating concern about effective infection control for this potentially neuroinvasive pathogen. Herein, we report two cases of Klebsiella pneumoniae-related CNS infection, including one patient with antimicrobial-resistant hvKp, confirmed by string test that demonstrated a hypermucoviscous phenotype.

Hypervirulent Klebsiella pneumoniae (hvKp) infections are being increasingly reported globally, and cause severe central nervous system (CNS) and multiorgan infections even in immunocompetent individuals. The recent emergence of hvKp antibiotic resistance has generated escalating concern about effective infection control for this potentially neuroinvasive pathogen. Herein, we report two cases of Klebsiella pneumoniae-related CNS infection, including one patient with antimicrobial-resistant hvKp, confirmed by string test that demonstrated a hypermucoviscous phenotype.

Objective: To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial lung disease (ILD) using a deep learning-based automated software. Materials and Methods: This study included patients with ILD who underwent thin-section CT. Unmatched CT images obtained using scanners from four manufacturers (vendors A-D), standard- or low-radiation doses, and sharp or medium kernels were classified into groups 1–7 according to acquisition conditions. CT images in groups 2–7 were converted into the target CT sty le (Group 1: vendor A, standard dose, and sharp kernel) using a RouteGAN. ILD was quantified on original and converted CT images using a deep learning-based software (Aview, Coreline Soft). The accuracy of quantification was analyzed using the dice similarity coefficient (DSC) and pixel-wise overlap accuracy metrics against manual quantification by a radiologist. Five radiologists evaluated quantification accuracy using a 10-point visual scoring system. Results: Three hundred and fifty CT slices from 150 patients (mean age: 67.6 ± 10.7 years; 56 females) were included. The overlap accuracies for quantifying total abnormalities in groups 2–7 improved after CT conversion (original vs. converted: 0.63vs. 0.68 for DSC, 0.66 vs. 0.70 for pixel-wise recall, and 0.68 vs. 0.73 for pixel-wise precision; P < 0.002 for all). The DSCs of fibrosis score, honeycombing, and reticulation significantly increased after CT conversion (0.32 vs. 0.64, 0.19 vs. 0.47, and 0.23 vs. 0.54, P < 0.002 for all), whereas those of ground-glass opacity, consolidation, and emphysema did not change significantly or decreased slightly. The radiologists’ scores were significantly higher (P < 0.001) and less variable on converted CT. Conclusion CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.