School meal service workers may face an increased risk of lung cancer due to the nature of their work. This study aims to assess environmental exposure levels during occupational cooking among these workers in Seoul, Korea, and to examine the associations with carcinogen-associated biomarkers. Additionally, the study seeks to verify lung carcinogenesis through experiments using lung organoids treated with carcinogens, such as polycyclic aromatic hydrocarbons (PAHs) and particulate matter. Here, we introduce the study protocol and outline our research strategies. This etiome study employs molecular epidemiological approaches involving at least 200 school meal service workers from 25-30 school cafeterias in Seoul, as well as in vitro lung organoid experiments. The study includes a questionnaire survey to analyze workers’ occupational environments, focusing on exposure to hazardous substances such as cooking oil fumes and assessing the use of personal protective equipment (e.g., masks) and the presence of ventilation systems. We measure molecular epigenomic biomarkers, including PAH adducts and metabolites along with methylation markers, in the exposure and control groups. Additionally, lung organoid experiments are performed to investigate the potential for lung cancer development due to respiratory carcinogen exposure in cooks. This study is expected to contribute to health risk assessments and the establishment of preventive strategies for meal service workers.

Rheumatic diseases, such as rheumatoid arthritis (RA), osteoarthritis (OA), and spondyloarthritis (SpA), present diagnostic and management challenges due to their impact on connective tissues and the musculoskeletal system. Traditional imaging techniques, including plain radiography, ultrasounds, computed tomography, and magnetic resonance imaging (MRI), play a critical role in diagnosing and monitoring these conditions, but face limitations like inter-observer variability and time-consuming assessments. Recently, deep learning (DL), a subset of artificial intelligence, has emerged as a promising tool for enhancing medical imaging analysis. Convolutional neural networks, a DL model type, have shown great potential in medical image classification, segmentation, and anomaly detection, often surpassing human performance in tasks like tumor identification and disease severity grading. In rheumatology, DL models have been applied to plain radiography, ultrasounds, and MRI for assessing joint damage, synovial inflammation, and disease progression in RA, OA, and SpA patients. Despite the promise of DL, challenges such as data bias, limited explainability, and the need for large annotated datasets remain significant barriers to its widespread adoption. Furthermore, human oversight and value judgment are essential for ensuring the ethical use and effective implementation of DL in clinical settings. This review provides a comprehensive overview of DL’s applications in rheumatologic imaging and explores its future potential in enhancing diagnosis, treatment decisions, and personalized medicine.

Systemic sclerosis (SSc), or scleroderma, is a complex autoimmune connective tissue disease characterized by autoimmunity, vasculopathy, and progressive organ fibrosis, leading to severe organ dysfunction. The disease begins with a vascular injury triggered by autoimmune responses and environmental factors against a backdrop of genetic predisposition. This injury impairs angiogenesis and vasculogenesis, resulting in capillary loss and arteriolar constriction, which promotes immune cell infiltration and sustained inflammation within affected tissues. These vascular anomalies cause severe complications, including pulmonary artery hypertension, scleroderma renal crisis, and skin ulcers. Chronic inflammation fosters persistent fibroblast activation, resulting in extensive fibrosis that defines SSc. This review synthesizes the latest research on pathogenesis of SSc, highlighting the shift from fundamental research to a precision therapeutic approach. It explores the potential of technologies like flow cytometry and singlecell RNA sequencing to investigate pathogenic cell subtypes. These platforms integrate transcriptomic, genomic, proteomic, and epigenomic data to uncover insights into the underlying mechanisms of SSc pathogenesis. This review advocates for a multidisciplinary, patient-centric approach that harnesses recent scientific advances, directing future SSc research toward personalized and precise interventions.

Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

Darier’s disease is characterized by greasy and scaly papules that primarily affect seborrheic and intertriginous areas which is caused by a mutation in the ATP2A2 gene. Histopathologically, the disease is characterized by acantholysis and dyskeratosis. Among the diverse presentations, the segmental type follows a linear distribution along the lines of Blaschko. Herein, we present a case of a 54-year-old male with generalized erythematous papules that had been linearly distributed across his body for two decades. Lesions on his trunk and extremities were confined to the right side, whereas those on the scalp and face exhibited multiple segmental presentations. Histopathological examination revealed acantholysis and dyskeratosis in the epidermis, confirming the diagnosis of type 1 segmental Darier’s disease. This case underscores the rarity of type 1 segmental Darier’s disease, particularly with multiple segmental involvement and highlights the complexity and variability of this dermatological condition.

Lichen amyloidosis is characterized by coalescent hyperpigmented papules with a predilection for the extremities and is accompanied by severe chronic pruritus. Various therapies have been attempted; however, there is no uniformly recognized effective treatment. In the first case, a 60-year-old man with a 37-year history of intractable itching presented with hyperkeratotic brown papules and coalescing plaques on the trunk and extensor surfaces of the extremities. The second case involved a 31-year-old man who presented with brownish macules and papules with a rippled pattern on the upper back and lower extremities. Histological examination of the lesions from both patients revealed epidermal hyperplasia and amorphous material deposited in the papillary dermis, which tested positive on Congo red staining. Although both patients were diagnosed with lichen amyloidosis, several treatment modalities showed limited efficacy. Subsequently, dupilumab, a treatment for severe pruritus, was administered to both patients, resulting in significant improvements.

A 34-year-old male with acne was presented with a 1-year history of multiple tiny subcutaneous nodules on his face, particularly on both cheeks. Physical examination revealed asymptomatic, palpable, and hard nodules with an acne scar. The skin lesions were more obvious when the cheeks were inflated. A skin biopsy revealed multiple focal bony trabeculae with osteoblasts in the dermis. A diagnosis of multiple miliary osteomas cutis was done. Multiple miliary osteoma cutis is a rare benign extraskeletal ossification that is considered relatively common and under-reported because of its asymptomatic behavior. Osteoma cutis is generally observed in middle-aged females with a history of acne. Male involvement rarely occurs, especially at a young age, as observed in this patient. Topical retinoids were prescribed, but the lesions did not abate at 3 months follow-up.

Traumatic tattoos are abnormal pigmentations caused by embedded foreign particles due to various injuries, including explosions, abrasions, or traffic accidents. Traumatic tattoos caused by pencils are common and considered trivial because they are usually confined to the injured site without any complications. A 4-year-old girl presented with a 5-month history of a grey-to-bluish patch on her left cheek. Histopathological examination revealed many pigment granules surrounding the blood vessels and appendages diffused from the mid to the lower dermis. Various staining methods were employed to verify that colorants caused the tattoo. To our knowledge, there have been no reports of traumatic tattoos caused by colored pencils that spread rapidly beyond the injured areas. In particular, various unexpected traumas can occur frequently in children; therefore, an accurate diagnosis is essential by differentiating it from other acquired pigmentary disorders