Abstract: These days abattoirs' hygiene of Korea is regulated by Hazzard Analysis Critical Control Point (HACCP). Although 20 years have been left since first HACCP was adjusted in Korea, 12% of abattoirs got inconsistence on evaluations. Food poisoning caused by bacteria feces like pathogenic Escherichia coli and Salmonella has not decreased. These bacteria on meat crosscontaminate at the abattoir. Therefore, field verification of abattoir's critical control point (CCP) and experiments to find alternative ways of the CCP were conducted. The aerobic bacteria were measured before and after high-pressure water based washing process set as CCP in most abattoirs. Four parts of cattle carcasses were selected to apply sponge-swab method. The effects were < 1 log reduction which is not significant. Lactic acid (LC), chlorine dioxide (ClO2 ) and slightly acidic electrolyzed water (SAEW) were used to measure the effect of reducing bacteria on beef by the different time. LC has 1.24–2.02 log reduction for aerobic bacteria. ClO2 has 1.44–1.96 log reduction for aerobic bacteria. SAEW has 1.1–1.91 log reduction for aerobic bacteria. There was significant difference according to concentrations (p < 0.05). This study presents legitimacy for hygiene improvement of CCP by field verification. In addition, chemical disinfectants that can be mechanically applied have better reduction effects of high-pressure washing.

Background: A nationwide outbreak of foot-and-mouth disease (FMD) in South Korea caused massive economic losses in 2010. Since then, the Animal and Plant Quarantine Agency (QIA) has enhanced disinfection systems regarding livestock to prevent horizontal transmission of FMD and Avian influenza (AI). Although the amount of disinfectant used continues to increase, cases of FMD and AI have been occurring annually in Korea, except 2012 and 2013. Objectives: This study measured the concentration of the disinfectant to determine why it failed to remove the horizontal transmission despite increased disinfectant use. Methods: Surveys were conducted from February to May 2017, collecting 348 samples from disinfection systems. The samples were analyzed using the Standards of Animal Health Products analysis methods from QIA. Results: Twenty-three facilities used inappropriate or non-approved disinfectants. Nearly all sampled livestock farms and facilities—93.9%—did not properly adjust the disinfectant concentration. The percentage using low concentrations, or where no effective substance was detected, was 46.9%. Furthermore, 13 samples from the official disinfection station did not use effective disinfectant, and—among 72 samples from the disinfection station—88.89% were considered inappropriate concentration, according to the foot-and-mouth disease virus guidelines; considering the AIV guideline, 73.61% were inappropriate concentrations. Inappropriate concentration samples on automatic (90.00%) and semi-automatic (90.90%) disinfection systems showed no significant difference from manual methods (88.24%). Despite this study being conducted during the crisis level, most disinfectants were used inappropriately. Conclusions This may partially explain why horizontal transmission of FMD and AI cannot be effectively prevented despite extensive disinfectant use.

The goal of the methylation classifier in brain tumor classification is to accurately classify tumors based on their methylation profiles. Accurate brain tumor diagnosis is the first step for healthcare professionals to predict tumor prognosis and establish personalized treatment plans for patients. The methylation classifier can be used to perform classification on tumor samples with diagnostic difficulties due to ambiguous histology or mismatch between histopathology and molecular signatures, i.e., not otherwise specified (NOS) cases or not elsewhere classified (NEC) cases, aiding in pathological decision-making. Here, the authors elucidate upon the application of a methylation classifier as a tool to mitigate the inherent complexities associated with the pathological evaluation of brain tumors, even when pathologists are experts in histopathological diagnosis and have access to enough molecular genetic information. Also, it should be emphasized that methylome cannot classify all types of brain tumors, and it often produces erroneous matches even with high matching scores, so, excessive trust is prohibited. The primary issue is the considerable difficulty in obtaining reference data regarding the methylation profile of each type of brain tumor. This challenge is further amplified when dealing with recently identified novel types or subtypes of brain tumors, as such data are not readily accessible through open databases or authors of publications. An additional obstacle arises from the fact that methylation classifiers are primarily research-based, leading to the unavailability of charging patients. It is important to note that the application of methylation classifiers may require specialized laboratory techniques and expertise in DNA methylation analysis.

It is important to select the correct disinfectants and to use them appropriately in order to prevent the initial spread of highly infectious livestock disease, such as foot-and-mouth disease or highly pathogenic avian influenza. This study describes a smartphone application developed to enable livestock workers to observe information related to disinfectants for the prevention of livestock disease in the domestic market, regardless of time and location, through a Linux-based Android mobile platform. This application (Konkuk-Disinfectant Information Database) provides information on disinfectant names, components, license and use; it was designed to enable the user to share disinfectant information through social media.
Animals ; Disinfectants ; Foot-and-Mouth Disease ; Influenza in Birds ; Licensure ; Livestock ; Methyltestosterone ; Smartphone ; Social Media

It is important to select the correct disinfectants and to use them appropriately in order to prevent the initial spread of highly infectious livestock disease, such as foot-and-mouth disease or highly pathogenic avian influenza. This study describes a smartphone application developed to enable livestock workers to observe information related to disinfectants for the prevention of livestock disease in the domestic market, regardless of time and location, through a Linux-based Android mobile platform. This application (Konkuk-Disinfectant Information Database) provides information on disinfectant names, components, license and use; it was designed to enable the user to share disinfectant information through social media.

PURPOSE: The purpose of this study was to establish the diagnostic decision point (DDP) of peanut specific IgE (sIgE) for predicting the outcome of oral food challenge (OFC). We also evaluated the usefulness of sIgE to peanut components (Ara h 1, 2, 3, 8, and 9) in diagnosing peanut allergy. METHODS: Korean children aged over 12 months with a suspected peanut allergy were enrolled. Diagnosis of peanut allergy was confirmed by an open OFC or through the convincing history of anaphylaxis. Cutoff levels of sIgE to peanut and peanut components were determined by analyzing receiver operating characteristic curves. RESULTS: Forty-eight children (22 boys and 26 girls) with a suspected peanut allergy were enrolled. The previously established DDP for peanut-sIgE antibodies (14 kU/L) showed a sensitivity of 22.7%, specificity of 100%, positive predictive value (PPV) of 100%, and negative predictive value of 60.4% in our study population. The median levels of peanut-sIgE (5.4 kU/L vs 1.1 kU/L, P<0.001) and Ara h 2-sIgE (0.8 kU/L vs 0 kU/L, P<0.001) were significantly higher in the peanut allergy group than in the peanut tolerance group. The peanut-sIgE concentration indicating a PPV of 100% was 10.3 kU/L. The Ara h 2-sIgE level of 4.0 kU/L had a PPV of 100%. CONCLUSIONS: Our results showed that the cutoff levels for peanut (10.3 kU/L) and Ara h 2 (4.0 kU/L) established in this study is useful for the diagnosis of peanut allergy in Korean children.
Anaphylaxis ; Antibodies ; Child* ; Diagnosis ; Food Hypersensitivity ; Humans ; Immunoglobulin E* ; Peanut Hypersensitivity* ; ROC Curve ; Sensitivity and Specificity

PURPOSE: This study evaluated the clinical characteristics and risk factors associated with atopic dermatitis patients complicated by eczema herpeticum. METHODS: This study included 45 patients under the age of 18 with atopic dermatitis complicated by eczema herpeticum in the disease group (ADEH+), and 50 patients under the age of 18 with atopic dermatitis without any episode of eczema herpeticum in the control group (ADEH−). We retrospectively reviewed the clinical features, treatment and prognosis of the 2 groups. RESULTS: In this study, eczema herpeticum occurred in 2.7% of the AD patients. No significant difference in percentage of boys or mean age was found between the ADEH+ and ADEH− groups. In the ADEH+ group, eczema herpeticum occurred more frequently in the head and neck. Severe atopic dermatitis, recurrent impetigo, IgE−mediated atopic dermatitis and food allergy were identified as the risk factors of eczema herpeticum. The mean white blood cell count, erythrocyte sedimentation rate, percent of eosinophils and total serum IgE were higher in the ADEH+ group than in the ADEH− group. More than 2 recurrences were confirmed in 12 patients (26.7%). CONCLUSION: In the ADEH+ group, skin lesions were dominant on the head and neck. We revealed that severe atopic dermatitis, frequent impetigo, IgE-mediated atopic dermatitis, and food allergy are risk factors for eczema herpeticum.
Blood Sedimentation ; Child ; Dermatitis, Atopic* ; Eczema* ; Eosinophils ; Food Hypersensitivity ; Head ; Humans ; Immunoglobulin E ; Impetigo ; Kaposi Varicelliform Eruption* ; Leukocyte Count ; Neck ; Prognosis ; Recurrence ; Retrospective Studies ; Risk Factors ; Simplexvirus ; Skin

The aim of this study is to investigate the genetic profiles and methylation-based classifications of Embryonal tumor with multilayered rosettes (ETMR), with a specific focus on differentiating between C19MC amplified and C19MC-not amplified groups, including cases with DICER1 mutations. To achieve this, next-generation sequencing using a targeted gene panel for brain tumors and methylation class studies using the Epic850K microarray were performed to identify tumor subclasses and their clinicopathological characteristics. The study cohort consisted of four patients, including 3 children (a 4-months/F, a 9-months/M, and a 2 y/F), and one adult (a 30 y/Male). All three tumors in the pediatric patients originated in the posterior fossa and exhibited TTYH1:C19MC fusion and C19MC amplification. The fourth case in the adult patient involved the cerebellopontine angle with biallelic DICER1 mutation. Histopathological examination revealed typical embryonal features characterized by multilayered rosettes and abundant neuropils in all cases, while the DICER1-mutant ETMR also displayed cartilage islands in addition to the classic ETMR pathology. All four tumors showed positive staining for LIN28A. The t-SNE clustering analysis demonstrated that the first three cases clustered with known subtypes of ETMR, specifically C19MC amplified, while the fourth case clustered separately to non-C19MC amplified subclass. During the follow-up period of 6~12 months, leptomeningeal dissemination of the tumor occurred in all patients. Considering the older age of onset in DICER1-mutant ETMR, genetic counseling should be recommended due to the association of DICER1 mutations with germline and second-hit somatic mutations in cancer.

This paper introduces the current status of Seoul National University Hospital Dementia Brain Bank (SNUH-DBB), focusing on the concordance rate between clinical diagnoses and postmortem neuropathological diagnoses. We detail SNUH-DBB operations, including protocols for specimen handling, induced pluripotent stem cells (iPSC) and cerebral organoids establishment from postmortem dural fibroblasts, and adult neural progenitor cell cultures. We assessed clinical-neuropathological diagnostic concordance rate. Between 2015 and September 2024, 162 brain specimens were collected via brain donation and autopsy. The median donor age was 73 years (1-94) with a male-to -female ratio of 2:1. The median postmortem interval was 9.5 hours (range: 2.5-65). Common neuropathological diagnoses included pure Lewy body disease (10.6%), Lewy body disease (LBD) with other brain diseases (10.6%), pure Alzheimer's disease-neuropathological change (ADNC) (6.0%), ADNC with other brain diseases (10.7%), vascular brain injury (15.2%), and primary age-related tauopathy (7.3%). APOE genotype distribution was following: ε3/ε3: 62.3%, ε2/ε3:9.6%, ε2/ε4: 3.4%, ε3/ε4: 24.0%, and ε4/ε4: 0.7%. Concordance rates between pathological and clinical diagnoses were: ADNC/AD at 42.4%; LBD at 59.0%; PSP at 100%; ALS at 85.7%; Huntington’s disease 100%. The varying concordance rates across different diseases emphasize the need for improved diagnostic criteria and biomarkers, particularly for AD and LBD. Tissues have been distributed to over 40 national studies. SNUH-DBB provides high-quality brain tissues and cell models for neuroscience research, operating under standardized procedures and international guidelines. It supports translational research in dementia and neurodegenerative diseases, potentially advancing diagnostic and therapeutic strategies.

This paper introduces the current status of Seoul National University Hospital Dementia Brain Bank (SNUH-DBB), focusing on the concordance rate between clinical diagnoses and postmortem neuropathological diagnoses. We detail SNUH-DBB operations, including protocols for specimen handling, induced pluripotent stem cells (iPSC) and cerebral organoids establishment from postmortem dural fibroblasts, and adult neural progenitor cell cultures. We assessed clinical-neuropathological diagnostic concordance rate. Between 2015 and September 2024, 162 brain specimens were collected via brain donation and autopsy. The median donor age was 73 years (1-94) with a male-to -female ratio of 2:1. The median postmortem interval was 9.5 hours (range: 2.5-65). Common neuropathological diagnoses included pure Lewy body disease (10.6%), Lewy body disease (LBD) with other brain diseases (10.6%), pure Alzheimer's disease-neuropathological change (ADNC) (6.0%), ADNC with other brain diseases (10.7%), vascular brain injury (15.2%), and primary age-related tauopathy (7.3%). APOE genotype distribution was following: ε3/ε3: 62.3%, ε2/ε3:9.6%, ε2/ε4: 3.4%, ε3/ε4: 24.0%, and ε4/ε4: 0.7%. Concordance rates between pathological and clinical diagnoses were: ADNC/AD at 42.4%; LBD at 59.0%; PSP at 100%; ALS at 85.7%; Huntington’s disease 100%. The varying concordance rates across different diseases emphasize the need for improved diagnostic criteria and biomarkers, particularly for AD and LBD. Tissues have been distributed to over 40 national studies. SNUH-DBB provides high-quality brain tissues and cell models for neuroscience research, operating under standardized procedures and international guidelines. It supports translational research in dementia and neurodegenerative diseases, potentially advancing diagnostic and therapeutic strategies.