OBJECTIVE: This study aims to reveal the relationship of depression with growth factors such as brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), and insulin-like growth factor-1 (IGF-1) in inpatients diagnosed with alcohol dependence, and to identify candidate growth factors as biological markers to indicate the comorbid of alcohol dependence and depression. METHODS: This study examined demographic factors in 45 alcohol-dependent patients. The ADS (Korean version of the Alcohol Dependence Scale) and BDI (Korean version of Beck's Depression Inventory) were used. BDNF, NGF, and IGF-1 were measured through ELISA. RESULTS: The average drinking quantity and the ADS score were significantly more severe in alcohol-dependent patients with depression than in those without depression. Linearly comparing BDNF, NGF, and IGF-1 with BDI values, IGF-1 was the growth factor significantly correlated with BDI scores. BDI scores were significantly correlated with ADS scores. IGF-1 was significantly higher in alcohol-dependent patients with depression. Alcohol-dependent patients with depression had greater alcohol use and more severe ADS scores. BDNF and NGF showed no significant difference between alcohol-dependent patients with and without depression, but IGF-1 was significantly higher in those with than in those without depression. CONCLUSION: IGF-1 was found to be associated with depression in alcohol-dependent patients, suggesting that IGF-1 in alcohol-dependent patients could be an important biomarker to indicate whether alcohol-dependence is accompanied by depression.
Alcoholism ; Biomarkers ; Brain-Derived Neurotrophic Factor ; Demography ; Depression* ; Drinking ; Enzyme-Linked Immunosorbent Assay ; Humans ; Inpatients ; Insulin-Like Growth Factor I ; Intercellular Signaling Peptides and Proteins* ; Nerve Growth Factor

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*

Mast cells are major immune cells in allergy to secrete allergic mediators by a degranulation process and make and secrete inflammatory lipids and cytokines in response to antigen stimulation. An amino acid tryptophan regulates immune functions. Tryptophan ameliorates inflammatory colitis in which mast cells are engaged. However, its effects on mast cells remain to be solved. We investigated the effect of tryptophan on IgE-mediated allergic responses in the mast cells and mice. IgE-mediated passive cutaneous anaphylaxis (PCA) in mice were examined. Also IgE-mediated mast cell activation responses such as degranulation of stored granules and secretion of inflammatory lipid LTB₄ and cytokines (TNF-α and IL-4) were measured. Intraperitoneal administration of tryptophan suppressed PCA in mice. Also, in the cellular level tryptophan inhibited IgE-mediated mast cell activation such as IgE-mediated degranulation and the production of LTB₄. Also, it inhibited production of inflammatory cytokines TNF-α and IL-4. In summary, tryptophan suppressed IgE-mediated allergic activation in vivo and in vitro. Tryptophan supplementation is beneficial for IgE-mediated allergy.
Animals ; Colitis ; Cytokines ; Hypersensitivity ; Immunoglobulin E ; In Vitro Techniques ; Interleukin-4 ; Leukotriene B4 ; Mast Cells* ; Mice ; Passive Cutaneous Anaphylaxis ; Tryptophan*

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

Background: Snakebites remain a devastating and life-threatening environmental hazard.While the management of snakebites has been well described in humans, few clinical data and guidelines exist for dogs, especially in Korea. Objectives: This retrospective study evaluated the clinical features of 70 dogs with snakebite wounds in Korea. Methods: The medical records of 72 dogs that presented to three animal hospitals from June 2008 to July 2021 were reviewed; among these, 70 dogs that met the inclusion criteria were enrolled. Their signalment, history, clinical signs, physical examination, blood analysis, treatment, and prognosis were also evaluated. Results: Of 70 dog owners, 35 (50%) witnessed the bite, with a mean time between bite and hospital presentation of 9.7 ± 4.1 h in 58 dogs. Blood smears were evaluated in 45 dogs, of which 28 (62%) showed echinocytosis. Anemia and acute kidney injury were found in 21 (29%) and 2 dogs (3%), respectively. A total of 37 dogs (53%) were hospitalized, 5 (7%) of which died. Conclusions The most significant finding was the high prevalence of echinocytosis. The data from this retrospective study could inform the management of dogs bitten by snakes in Korea.

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.