Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression. Methods: Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD. Results: After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort. Conclusions We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.

Objectives: Sepsis is a leading global cause of mortality, and predicting its outcomes is vital for improving patient care. This study explored the capabilities of ChatGPT, a state-of-the-art natural language processing model, in predicting in-hospital mortality for sepsis patients. Methods: This study utilized data from the Korean Sepsis Alliance (KSA) database, collected between 2019 and 2021, focusing on adult intensive care unit (ICU) patients and aiming to determine whether ChatGPT could predict all-cause mortality after ICU admission at 7 and 30 days. Structured prompts enabled ChatGPT to engage in in-context learning, with the number of patient examples varying from zero to six. The predictive capabilities of ChatGPT-3.5-turbo and ChatGPT-4 were then compared against a gradient boosting model (GBM) using various performance metrics. Results: From the KSA database, 4,786 patients formed the 7-day mortality prediction dataset, of whom 718 died, and 4,025 patients formed the 30-day dataset, with 1,368 deaths. Age and clinical markers (e.g., Sequential Organ Failure Assessment score and lactic acid levels) showed significant differences between survivors and non-survivors in both datasets. For 7-day mortality predictions, the area under the receiver operating characteristic curve (AUROC) was 0.70–0.83 for GPT-4, 0.51–0.70 for GPT-3.5, and 0.79 for GBM. The AUROC for 30-day mortality was 0.51–0.59 for GPT-4, 0.47–0.57 for GPT-3.5, and 0.76 for GBM. Zero-shot predictions using GPT-4 for mortality from ICU admission to day 30 showed AUROCs from the mid-0.60s to 0.75 for GPT-4 and mainly from 0.47 to 0.63 for GPT-3.5. Conclusions GPT-4 demonstrated potential in predicting short-term in-hospital mortality, although its performance varied across different evaluation metrics.

Objective: To investigate whether reader training improves the performance and agreement of radiologists in interpreting unenhanced breast magnetic resonance imaging (MRI) scans using diffusion-weighted imaging (DWI). Materials and Methods: A study of 96 breasts (35 cancers, 24 benign, and 37 negative) in 48 asymptomatic women was performed between June 2019 and October 2020. High-resolution DWI with b-values of 0, 800, and 1200 sec/mm 2 was performed using a 3.0-T system. Sixteen breast radiologists independently reviewed the DWI, apparent diffusion coefficient maps, and T1-weighted MRI scans and recorded the Breast Imaging Reporting and Data System (BI-RADS) category for each breast. After a 2-h training session and a 5-month washout period, they re-evaluated the BI-RADS categories. A BI-RADS category of 4 (lesions with at least two suspicious criteria) or 5 (more than two suspicious criteria) was considered positive.The per-breast diagnostic performance of each reader was compared between the first and second reviews. Inter-reader agreement was evaluated using a multi-rater κ analysis and intraclass correlation coefficient (ICC). Results: Before training, the mean sensitivity, specificity, and accuracy of the 16 readers were 70.7% (95% confidence interval [CI]: 59.4–79.9), 90.8% (95% CI: 85.6–94.2), and 83.5% (95% CI: 78.6–87.4), respectively. After training, significant improvements in specificity (95.2%; 95% CI: 90.8–97.5; P = 0.001) and accuracy (85.9%; 95% CI: 80.9–89.8; P = 0.01) were observed, but no difference in sensitivity (69.8%; 95% CI: 58.1–79.4; P = 0.58) was observed. Regarding inter-reader agreement, the κ values were 0.57 (95% CI: 0.52–0.63) before training and 0.68 (95% CI: 0.62–0.74) after training, with a difference of 0.11 (95% CI: 0.02–0.18; P = 0.01). The ICC was 0.73 (95% CI: 0.69–0.74) before training and 0.79 (95% CI: 0.76–0.80) after training (P = 0.002). Conclusion Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI.

BACKGROUND: In this study, we explored the potential of human adipose tissue-derived extracellular matrix (adECM) sheets augmented with crosslinked hyaluronic acid (HA) as advanced wound dressings. We aimed to enhance healing efficacy while optimizing cost efficiency. METHODS: The adECM was processed from healthy donor tissue and combined with crosslinked HA to form ECM-HA sheets (Scaffiller, Medikan, Korea). In vitro experiments involved seeding adipose-derived stem cells (ASCs) onto these sheets and assessing cell survival and cytokine production. In vivo testing utilized a rat wound model, comparing ECM-HA sheet with HA-based dressing and polyurethane foam dressing. Re-epithelialization and collagen deposition were examined through histopathological examinations, whereas immunohistochemistry was used to assess CD31, alpha smooth muscle actin (a-SMA), and Tenascin C expression as contributing factors to wound healing. RESULTS: Results indicated that ECM-HA sheets were produced efficiently, with enhanced growth factor production and ASC survival observed in vitro. In vivo, ECM-HA sheets demonstrated accelerated wound healing, evidenced by improved epithelialization, thicker dermis, increased collagen deposition, and enhanced vascularity. Notably, they exhibited reduced myofibroblast activity and increased expression of Tenascin C, suggesting a favorable healing environment. CONCLUSION ECM-HA sheets offer a promising approach for wound management, combining the benefits of adECM and HA. They present improved stability and cost-effectiveness while promoting essential aspects of wound healing such as angiogenesis and collagen formation. This study underscores the therapeutic potential of ECM-HA sheets in clinical applications aimed at facilitating wound repair.

Epidermal cell adhesion molecule (EpCAM) is a tumor-associated antigen (TAA), which has been considered as a cancer vaccine candidate. The EpCAM protein fused to the fragment crystallizable region of immunoglobulin G (IgG) tagged with KDEL endoplasmic reticulum (ER) retention signal (EpCAM-FcK) has been successfully expressed in transgenic tobacco (Nicotiana tabacum cv. Xanthi) and purified from the plant leaf. In this study, we investigated the ability of the plant-derived EpCAM-FcK (EpCAM-FcKP ) to elicit an immune response in vivo. The animal group injected with the EpCAM-FcKP showed a higher differentiated germinal center (GC) B cell population (~9%) compared with the animal group injected with the recombinant rhEpCAM-Fc chimera (EpCAM-FcM ). The animal group injected with EpCAM-FcKP (~42%) had more differentiated T follicular helper cells (Tfh) than the animal group injected with EpCAM-FcM (~7%). This study demonstrated that the plant-derived EpCAM-FcK fusion antigenic protein induced a humoral immune response in mice.

Activated phosphoinositide 3-kinase δ syndrome (APDS)1 is caused by gain-of-function mutations in PIK3CD, which encodes the catalytic p110δ subunit of phosphoinositide 3 kinase. We describe three patients with APDS1, the first thereof in Korea. Therein, we investigated clinical manifestations of APDS1 and collected data on the efficacy and safety profile of sirolimus, a mammalian target of rapamycin inhibitor and pathway-specific targeted medicine. The same heterozygous PIK3CD mutation was detected in all three patients (E1021K). After genetic diagnosis, all patients received sirolimus and experienced an excellent response, including amelioration of lymphoproliferation and improvement of nodular mucosal lymphoid hyperplasia in the gastrointestinal tract. The median trough level of sirolimus was 5.5 ng/mL (range, 2.8–7.5) at a dose of 2.6–3.6 mg/m2. Two patients who needed highdose, short-interval, immunoglobulin-replacement treatment (IGRT) had a reduced requirement for IGRT after initiating sirolimus, and the dosing interval was extended from 2 and 3 weeks to 4 weeks. The IgG trough level after sirolimus treatment (median, 594 mg/dL; range, 332–799 mg/dL) was significantly higher than that before sirolimus treatment (median, 290 mg/dL; range, 163–346 mg/dL) (p<0.001). One episode of elevated serum creatinine with a surge of sirolimus (Patient 2) and episodes of neutropenia and oral stomatitis (Patient 1) were observed. We diagnosed the first three patients with APDS1 in Korea. Low-dose sirolimus may alleviate clinical manifestations thereof, including hypogammaglobulinemia.

Background: This study compared chronic diseases and health-related quality of life (HRQoL) in between primary care underserved areas residents and the general population. Methods: Underserved areas were identified according to accessibility and the time relevance index for primary care. Overall, 279 participants aged ≥60 years from four counties enrolled voluntarily. A total of 1,873 individuals were assigned in the control group using the Korea National Health and Nutrition Examination Survey database. We assessed the differences in prevalence, awareness, and control of hypertension and diabetes and HRQoL using both subjective health status and the Korean version of the EuroQol-5D (EQ-5D) questionnaire using multivariate logistic regression analysis between the two groups. Results: For hypertension, prevalence did not differ significantly between the two groups, whereas awareness and control were lower in the underserved areas than that in the general population; the adjusted odds ratios (95% confidence interval) were 0.40 (0.25–0.64) and 0.27 (0.18–0.41), respectively. For diabetes, differences in prevalence, awareness, and control were statistically insignificant. The proportion reporting poor subjective health status and problems in four EQ-5D indexes (ability to exercise, daily activities, pain/discomfort, anxiety/depression) was higher in the underserved areas, which also had a lower EQ-5D index, than that in the general population. Conclusion Primary care underserved area residents were underdiagnosed and under-controlled for hypertension and reported poorer subjective health and HRQoL compared to the general population. Primary care is the attributable factor to awareness and control of chronic diseases and subjective health and QoL in communities.

BACKGROUND: AND PURPOSE: The aim of this study was to determine the diagnostic performance and safety of a new ¹⁸F-labeled amyloid tracer, ¹⁸F-FC119S. METHODS: This study prospectively recruited 105 participants, comprising 53 with Alzheimer's disease (AD) patients, 16 patients with dementia other than AD (non-AD), and 36 healthy controls (HCs). In the first screening visit, the Seoul Neuropsychological Screening Battery cognitive function test was given to the dementia group, while HC subjects completed the Korean version of the Mini Mental State Examination. Individuals underwent ¹⁸F-FC119S PET, ¹⁸F-fluorodeoxyglucose (FDG) PET, and brain MRI. The diagnostic performance of ¹⁸F-FC119S PET for AD was compared to a historical control (comprising previously reported and currently used amyloid-beta PET agents), ¹⁸F-FDG PET, and MRI. The standardized uptake value (SUV) ratio (ratio of the cerebral cortical SUV to the cerebellar SUV) was measured for each PET data set to provide semiquantitative analysis. All adverse effects during the clinical trial periods were monitored. RESULTS: Visual assessments of the ¹⁸F-FC119S PET data revealed a sensitivity of 92% and a specificity of 84% in detecting AD. ¹⁸F-FC119S PET demonstrated equivalent or better diagnostic performance for AD detection than the historical control, ¹⁸F-FDG PET (sensitivity of 80.0% and specificity of 76.0%), and MRI (sensitivity of 98.0% and specificity of 50.0%). The SUV ratios differed significantly between AD patients and the other groups, at 1.44±0.17 (mean±SD) for AD, 1.24±0.09 for non-AD, and 1.21±0.08 for HC. No clinically significant adverse effects occurred during the trial periods. CONCLUSIONS ¹⁸F-FC119S PET provides high sensitivity and specificity in detecting AD and therefore may be considered a useful diagnostic tool for AD.

Haploinsufficiency of A20 (HA20) is a newly described autoinflammatory disease caused by loss-of-function mutations in the TNFAIP3 gene. Clinical phenotypes are heterogenous and resemble Behçet's disease, juvenile idiopathic arthritis, inflammatory bowel disease, or periodic fever syndrome, with symptoms developing at an early age. Here, we report the first case of infantile familial HA20 in Korea, which mimics neonatal lupus erythematosus (NLE). A 2-month-old infant exhibited symptoms including recurrent fever, erythematous rashes, and oral ulcers, with elevated liver enzymes, and tested positive for several autoantibodies, similar to systemic lupus erythematosus (SLE); therefore, she was suspected to have NLE. However, six months after birth, symptoms and autoantibodies persisted. Then, we considered the possibility of other diseases that could cause early onset rashes and abnormal autoantibodies, including autoinflammatory syndrome, monogenic SLE, or complement deficiency, all of which are rare. The detailed family history revealed that her father had recurrent symptoms, including oral and genital ulcers, knee arthralgia, abdominal pain, and diarrhea. These Behcet-like symptoms last for many years since he was a teenager, and he takes medications irregularly only when those are severe, but doesn't want the full-scale treatment. Whole-exome sequencing was conducted to identify a possible genetic disorder, which manifested as pathogenic variant nonsense mutation in the TNFAIP3 gene, leading to HA20. In conclusion, HA20 should be considered in the differential diagnosis of an infant with an early-onset dominantly inherited inflammatory disease that presents with recurrent oral and genital ulcerations and fluctuating autoantibodies. Additionally, it also should be considered in an infant with suspected NLE, whose symptoms and abnormal autoantibodies persist.

PURPOSE: The purpose of this study was to prospectively validate the Korean Cancer Study Group Geriatric Score (KG)-7, a novel geriatric screening tool, in older patients with advanced cancer planned to undergo first-line palliative chemotherapy. MATERIALS AND METHODS: Participants answered the KG-7 questionnaire before undergoing geriatric assessment (GA) and first-line palliative chemotherapy. The performance of KG-7 was evaluated by calculating the sensitivity (SE), specificity (SP), positive and negative predictive value (PPV and NPV), balanced accuracy (BA), and area under the curve (AUC). RESULTS: The baseline GA and KG-7 results were collected from 301 patients. The median age was 75 years (range, 70 to 93 years). Abnormal GA was documented in 222 patients (73.8%). Based on the ≤ 5 cut-off value of KG-7 for abnormal GA, abnormal KG-7 score was shown in 200 patients (66.4%). KG-7 showed SE, SP, PPV, NPV, and BA of 75.7%, 59.7%, 84.4%, 46.0%, and 67.7%, respectively; AUC was 0.745 (95% confidence interval, 0.687 to 0.803). Furthermore, patients with higher KG-7 scores showed significantly longer survival (p=0.006). CONCLUSION: KG-7 appears to be adequate in identifying patients with abnormal GA prospectively. Hence, KG-7 can be a useful screening tool for Asian countries with limited resources and high patient volume.
Area Under Curve ; Asian Continental Ancestry Group ; Drug Therapy ; Geriatric Assessment ; Humans ; Mass Screening ; Prospective Studies ; Sensitivity and Specificity