1.Effect of Interleukin-18 Gene Polymorphisms on Sensitization to Wheat Flour in Bakery Workers.
Seung Hyun KIM ; Gyu Young HUR ; Hyun Jung JIN ; Hyunna CHOI ; Hae Sim PARK
Journal of Korean Medical Science 2012;27(4):382-387
Lower respiratory symptoms in bakery workers may be induced by wheat flour and endotoxins. We hypothesized that endotoxins from wheat flour may stimulate innate immunity and that interleukin-18 (IL-18) gene polymorphisms may affect their regulatory role in innate immune responses to endotoxins. To investigate the genetic contribution of IL-18 to sensitization to wheat flour, we performed a genetic association study of IL-18 in Korean bakery workers. A total of 373 bakery workers undertook a questionnaire regarding work-related symptoms. Skin prick tests with common and occupational allergens were performed and specific antibodies to wheat flour were measured by ELISA. Three polymorphisms of the IL-18 gene (-607A/C, -137G/C, 8674C/G) were genotyped, and the functional effects of the polymorphisms were analyzed using the luciferase reporter assay. Genotypes of -137G/C (GC or CC) and haplotype ht3 [ACC] showed a significant association with the rate of sensitization to wheat flour. Luciferase activity assay indicated ht3 [AC] as a low transcript haplotype. In conclusion, the regulatory role of IL-18 in lipopolysaccharide-induced responses in bakery workers may be affected by this polymorphism, thus contributing to the development of sensitization to wheat flour and work-related respiratory symptoms.
Adult
;
Alleles
;
Allergens/immunology
;
Antibodies/analysis/immunology
;
Female
;
Genes, Reporter
;
Genotype
;
Haplotypes
;
Humans
;
Interleukin-18/*genetics
;
Male
;
Middle Aged
;
Occupational Diseases/*genetics/immunology
;
*Polymorphism, Single Nucleotide
;
Questionnaires
;
Respiratory Hypersensitivity/*genetics/immunology
;
Skin Tests
;
Triticum/*immunology
2.Subcutaneous Immunotherapy for Allergic Asthma in a Single Center of Korea: Efficacy, Safety, and Clinical Response Predictors.
Ji Ho LEE ; Su Chin KIM ; Hyunna CHOI ; Chang Gyu JUNG ; Ga Young BAN ; Yoo Seob SHIN ; Dong Ho NAHM ; Hae Sim PARK ; Young Min YE
Journal of Korean Medical Science 2017;32(7):1124-1130
Allergen-specific immunotherapy is the only causal treatment for allergic diseases. However, the efficacy of immunotherapy may vary around the world due to differences in climate, the nature of aero-allergens and their distribution. The aim of this study was to describe the effects of subcutaneous immunotherapy (SCIT) in Korean adults with allergic asthma (AA). As a retrospective cohort study, we reviewed medical records for 627 patients with AA in Korea who were sensitized to house dust mite (HDM) and/or pollens and who underwent SCIT with aluminum hydroxide adsorbed allergen extract from 2000 to 2012. Rates of remission, defined as no further requirement of maintenance medication, over time were determined by means of life tables and extension of survival analysis. Herein, 627 asthmatic patients achieved remission within a mean of 4.7 ± 0.2 years. The cumulative incidence rates of remission from AA were 86.9% upon treatment with SCIT. Baseline forced expiratory volume in the first second (FEV1) ≥ 80% (hazard ratio [HR], 3.10; 95% confidence interval [CI], 1.79–5.39; P < 0.001), and maintenance of immunotherapy for more than 3 years (HR, 1.82; 95% CI, 1.21–2.72; P = 0.004) were significant predictors of asthma remission during SCIT. In 284 patients on SCIT with HDM alone, initial specific immunoglobulin E (IgE) levels to Dermatophagoides pteronyssinus and Dermatophagoides farinae did not show significant difference between remission and non-remission group after adjusting demographic variables. In conclusion, SCIT was effective and safe treatment modality for patients with AA. Initial FEV1 ≥ 80% and immunotherapy more than 3 years were found to be associated with favorable clinical responses to SCIT.
Adult
;
Aluminum Hydroxide
;
Asthma*
;
Climate
;
Cohort Studies
;
Dermatophagoides farinae
;
Dermatophagoides pteronyssinus
;
Forced Expiratory Volume
;
Humans
;
Immunoglobulin E
;
Immunoglobulins
;
Immunotherapy*
;
Incidence
;
Korea*
;
Life Tables
;
Medical Records
;
Pollen
;
Pyroglyphidae
;
Retrospective Studies
3.A Retrospective Study of Clinical Response Predictors in Subcutaneous Allergen Immunotherapy With House Dust Mites for Allergic Rhinitis
Ji Ho LEE ; Su Chin KIM ; Hyunna CHOI ; Chang Gyu JUNG ; Ga Young BAN ; Yoo Seob SHIN ; Dong Ho NAHM ; Hae Sim PARK ; Young Min YE
Allergy, Asthma & Immunology Research 2018;10(1):18-24
PURPOSE: House dust mites (HDM) are major allergens that cause allergic rhinitis (AR). Allergen-specific subcutaneous immunotherapy (SCIT) has been shown to be clinically beneficial in many clinical trials. Such trials, however, are not reflective of all patient populations. The aim of this study was to describe the efficacy and safety of SCIT in routine clinical practice in Korean adults with AR sensitized to HDM. METHODS: We reviewed medical records of 304 patients with AR treated at an allergy clinic of a tertiary hospital using SCIT with aluminum hydroxide-adsorbed allergen extract targeting HDM alone or with pollens for at least 1 year from 2000 to 2012. Patients with asthma were excluded. Rates of remission, defined as no further requirement of maintenance medication, over time were determined by means of life tables and extension of survival analysis. Specific immunoglobulin E (IgE) levels to HDM were categorized into 6 classes. RESULTS: The mean time until achieving remission was 4.9±0.1 years, and the cumulative incidence of remission from AR was 76.6%. Severe AR (odds ratio [OR], 0.40; 95% confidence interval [CI], 0.23-0.69; P=0.001), specific IgE levels to HDM ≥17.5 kU/L (OR, 1.85; 95% CI, 1.01-3.37; P=0.045), and duration of immunotherapy ≥3 years (OR, 7.37; 95% CI, 3.50-15.51; P<0.001) were identified as significant predictors of clinical remission during SCIT for patients with AR sensitized to HDM. Overall, 73 patients (24.0%) experienced adverse reactions to SCIT, and only 1 case of anaphylaxis (0.3%) developed. CONCLUSIONS: SCIT with HDM was found to be effective and safe for patients with AR. Specific IgE levels to HDM and a duration of SCIT ≥3 years may be predictors of clinical responses to SCIT in AR patients.
Adult
;
Allergens
;
Aluminum
;
Anaphylaxis
;
Asthma
;
Desensitization, Immunologic
;
Dust
;
Humans
;
Hypersensitivity
;
Immunoglobulin E
;
Immunoglobulins
;
Immunotherapy
;
Incidence
;
Life Tables
;
Medical Records
;
Pollen
;
Pyroglyphidae
;
Retrospective Studies
;
Rhinitis, Allergic
;
Tertiary Care Centers
4.Efficacy and Safety of a Pressurized Metered-Dose Inhaler in Older Asthmatics: Comparison to a Dry Powder Inhaler in a 12-Week Randomized Trial
Seong Dae WOO ; Young Min YE ; Youngsoo LEE ; So Hee LEE ; Yoo Seob SHIN ; Joo Hun PARK ; Hyunna CHOI ; Hyun Young LEE ; Hyun Jung SHIN ; Hae Sim PARK
Allergy, Asthma & Immunology Research 2020;12(3):454-466
PURPOSE: Asthma control in older asthmatics is often less effective, which may be attributed to small airway dysfunction and poor inhalation technique. We compared the efficacy of 2 inhalers (fluticasone propionate/formoterol treatment using a pressurized metered-dose inhaler [p-MDI group] vs. fluticasone propionate/salmeterol treatment using a dry powder inhaler [DPI group]) in older asthmatics.METHODS: We conducted a 12-week, randomized, open-label, parallel-designed trial in older patients (over 55 years old) with moderate-to-severe asthma, and compared the efficacy and safety for asthma control between the 2 groups. Subgroup analyses on disease duration and air trapping were performed. Clinical parameters, including changes in lung function parameters, inhaler technique and adherence, were compared with monitoring adverse reactions between the 2 groups.RESULTS: A total of 68 patients underwent randomization, and 63 (30 in the p-MDI group and 33 in the DPI group) completed this study. The p-MDI group was non-inferior to the DPI group with regard to the rate of well-controlled asthma (53.3% vs. 45.5%, P < 0.001; a predefined non-inferiority limit of 17%). In subgroup analyses, the proportion of patients who did not reach well-controlled asthma in the p-MDI group was non-inferior to that in the DPI group; the difference was 12.7% among those with a longer disease duration (≥ 15 years) and 17.5% among those with higher air-trapping (RV/TLC ≥ 45%), respectively (a predefined non-inferiority limit of 17%, P < 0.001). No significant differences were observed in lung function parameters, inhalation techniques, adherence and adverse reactions between the 2 groups.CONCLUSION: These results suggest that the p-MDI group may be comparable to the DPI group in the management of older asthmatics in aspects of efficacy and safety.
Airway Management
;
Asthma
;
Dry Powder Inhalers
;
Fluticasone
;
Humans
;
Inhalation
;
Lung
;
Medication Adherence
;
Metered Dose Inhalers
;
Nebulizers and Vaporizers
;
Random Allocation
5.Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
Young-Gon KIM ; In Hye SONG ; Seung Yeon CHO ; Sungchul KIM ; Milim KIM ; Soomin AHN ; Hyunna LEE ; Dong Hyun YANG ; Namkug KIM ; Sungwan KIM ; Taewoo KIM ; Daeyoung KIM ; Jonghyeon CHOI ; Ki-Sun LEE ; Minuk MA ; Minki JO ; So Yeon PARK ; Gyungyub GONG
Cancer Research and Treatment 2023;55(2):513-522
Purpose:
Assessing the metastasis status of the sentinel lymph nodes (SLNs) for hematoxylin and eosin–stained frozen tissue sections by pathologists is an essential but tedious and time-consuming task that contributes to accurate breast cancer staging. This study aimed to review a challenge competition (HeLP 2019) for the development of automated solutions for classifying the metastasis status of breast cancer patients.
Materials and Methods:
A total of 524 digital slides were obtained from frozen SLN sections: 297 (56.7%) from Asan Medical Center (AMC) and 227 (43.4%) from Seoul National University Bundang Hospital (SNUBH), South Korea. The slides were divided into training, development, and validation sets, where the development set comprised slides from both institutions and training and validation set included slides from only AMC and SNUBH, respectively. The algorithms were assessed for area under the receiver operating characteristic curve (AUC) and measurement of the longest metastatic tumor diameter. The final total scores were calculated as the mean of the two metrics, and the three teams with AUC values greater than 0.500 were selected for review and analysis in this study.
Results:
The top three teams showed AUC values of 0.891, 0.809, and 0.736 and major axis prediction scores of 0.525, 0.459, and 0.387 for the validation set. The major factor that lowered the diagnostic accuracy was micro-metastasis.
Conclusion
In this challenge competition, accurate deep learning algorithms were developed that can be helpful for making a diagnosis on intraoperative SLN biopsy. The clinical utility of this approach was evaluated by including an external validation set from SNUBH.
6.Erratum: Correction of Author Name and Affiliation in the Article “Artificial Intelligence in Health Care: Current Applications and Issues”
Chan-Woo PARK ; Sung Wook SEO ; Noeul KANG ; BeomSeok KO ; Byung Wook CHOI ; Chang Min PARK ; Dong Kyung CHANG ; Hwiyoung KIM ; Hyunchul KIM ; Hyunna LEE ; Jinhee JANG ; Jong Chul YE ; Jong Hong JEON ; Joon Beom SEO ; Kwang Joon KIM ; Kyu-Hwan JUNG ; Namkug KIM ; Seungwook PAEK ; Soo-Yong SHIN ; Soyoung YOO ; Yoon Sup CHOI ; Youngjun KIM ; Hyung-Jin YOON
Journal of Korean Medical Science 2020;35(48):e425-
7.Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer
Young-Gon KIM ; In Hye SONG ; Hyunna LEE ; Sungchul KIM ; Dong Hyun YANG ; Namkug KIM ; Dongho SHIN ; Yeonsoo YOO ; Kyowoon LEE ; Dahye KIM ; Hwejin JUNG ; Hyunbin CHO ; Hyungyu LEE ; Taeu KIM ; Jong Hyun CHOI ; Changwon SEO ; Seong il HAN ; Young Je LEE ; Young Seo LEE ; Hyung-Ryun YOO ; Yongju LEE ; Jeong Hwan PARK ; Sohee OH ; Gyungyub GONG
Cancer Research and Treatment 2020;52(4):1103-1111
Purpose:
Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of sentinel lymph nodes by a pathologist is not easy and is a tedious and time-consuming task. The purpose of this study is to review a challenge competition (HeLP 2018) to develop automated solutions for the classification of metastases in hematoxylin and eosin–stained frozen tissue sections of SLNs in breast cancer patients.
Materials and Methods:
A total of 297 digital slides were obtained from frozen SLN sections, which include post–neoadjuvant cases (n = 144, 48.5%) in Asan Medical Center, South Korea. The slides were divided into training, development, and validation sets. All of the imaging datasets have been manually segmented by expert pathologists. A total of 10 participants were allowed to use the Kakao challenge platform for six weeks with two P40 GPUs. The algorithms were assessed in terms of the AUC (area under receiver operating characteristic curve).
Results:
The top three teams showed 0.986, 0.985, and 0.945 AUCs for the development set and 0.805, 0.776, and 0.765 AUCs for the validation set. Micrometastatic tumors, neoadjuvant systemic therapy, invasive lobular carcinoma, and histologic grade 3 were associated with lower diagnostic accuracy.
Conclusion
In a challenge competition, accurate deep learning algorithms have been developed, which can be helpful in making frozen diagnosis of intraoperative sentinel lymph node biopsy. Whether this approach has clinical utility will require evaluation in a clinical setting