Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Purpose: Ultra-processed foods (UPFs) play a significant role in modern diets but are associated with various health risks, including obesity, cardiovascular disease, and diabetes.This study examined the consumption patterns of UPFs among middle-aged adults, older adults, and the oldest older adults in South Korea to identify the key food sources contributing to UPF intake using the Korean NOVA classification system. Methods: Data from the 2016–2019 Korea National Health and Nutrition Examination Survey were analyzed for 13,396 participants aged 40 years and older. Individuals with extreme energy intakes, serious diseases, or incomplete dietary records were excluded. The UPF intake levels were categorized into quartiles (Q1–Q4) based on the proportion of energy derived from UPFs, excluding individuals who did not consume UPFs. Results: In all age groups, the group with a high proportion of UPF consumption tended to have higher energy and macronutrient intake but lower micronutrient intake. The UPFs contributing significantly to energy intake were primarily alcohol and grain-based products.On the other hand, the energy contribution from UPFs based on legumes, milk, and dairy products tended to increase as the level of UPF consumption increased, and this trend was more significant with increasing age. Conclusion This study identified the differences in UPF consumption patterns across age groups and highlighted the importance of selective consumption based on the types of UPFs.

Vitamin C is a well-known antioxidant with antiviral, anticancer, and anti-inflammatory properties based on its antioxidative function. Aptamin C, a complex of vitamin C with its specific aptamer, has been reported to maintain or even enhance the efficacy of vitamin C while increasing its stability. To investigate in vivo distribution of Aptamin C, Gulo knockout mice, which, like humans, cannot biosynthesize vitamin C, were administered Aptamin C orally for 2 and 4 weeks.The results showed higher vitamin C accumulation in all tissues when administered Aptamin C, especially in the spleen. Next, the activity of natural killer (NK) cells were conducted. CD69, a marker known for activating for NK cells, which had decreased due to vitamin C deficiency, did not recover with vitamin C treatment but showed an increasing with Aptamin C. Furthermore, the expression of CD107a, a cell surface marker that increases during the killing process of target cells, also did not recover with vitamin C but increased with Aptamin C. Based on these results, when cultured with tumor cells to measure the extent of tumor cell death, an increase in tumor cell death was observed. To investigate the signaling mechanisms and related molecules involved in the proliferation and activation of NK cells by Aptamin C showed that Aptamin C treatment led to an increase in intracellular STAT3 activation. In conclusion, Aptamin C has a higher capability to activate NK cells and induce tumor cell death compared to vitamin C and it is mediated through the activation of STAT3.

β-Casein, a major protein in cow’s milk, is divided into the A1 and A2 type variants. Digestion of A1 β-casein yields the peptide β-casomorphin-7 which could cause gastrointestinal (GI) discomfort but A2 milk containing only A2 β-casein might be more beneficial than A1/A2 (regular) milk. The aim of this study was to evaluate the differences in GI discomfort after ingestion of A2 milk and A1/A2 milk. A randomized, double-blind, cross-over human trial was performed with 40 subjects who experienced GI discomfortfollowing milk consumption. For each intervention period, either A2 milk first (A2→A1/A2) or A1/A2 milk was first consumed for 2 weeks (A1/A2→A2) following a 2-week washout period. GI symptom rating scale (GSRS) scores, questionnaire for digestive symp-toms, and laboratory tests including fecal calprotectin were evaluated. For symptom analysis, generalized estimating equations gamma model was used. A2 milk increased bloating (P = 0.041) and loose stools (P = 0.026) compared to A1/A2 milk in GSRS. However, A2 milk caused less abdominal pain (P = 0.050), fecal urgency (P < 0.001) and borborygmus (P = 0.007) compared to A1/A2 milk in questionnaire for digestive symptoms. In addition, fecal calprotectin also decreased or less increased after consumption of A2 milk compared to A1/A2 milk (P = 0.030), and this change was more pronounced in males (P = 0.005) than in females.There were no significant adverse reactions during the trial. A2 milk alleviated digestive discomfort in Koreans following A2 milk consumption (ClinicalTrials.gov NCT06252636 and CRIS KCT0009301).

Unruptured dural arteriovenous fistula (dAVF) manifests various symptoms including exophthalmos, headache, tinnitus, and retro-orbital pain. Transient global amnesia (TGA) is a clinical syndrome of reversible anterograde amnesia. Here, we report a 62-year-old woman with dAVF, manifested as TGA. This case emphasized that the clinicians should stay vigilance to the organic cause of TGA, especially in those complaining other symptoms besides amnesia such as pulsatile tinnitus and headache. Furthermore, our case supports a hypothetical patho-mechanism of venous congestion for TGA.

A 13-year-old, Maltese dog presented with syncope and lethargy. Abdominal ultrasonography demonstrated anechoic peritoneal effusion and hepatic congestion. A focal echogenic round mass compressing the right ventricle and atrium was observed on echocardiography. Cardiac tamponade and right ventricular outflow tract obstruction occurred. On computed tomography, a homogeneous soft-tissue structure compressing the right chamber without contrast enhancement, suspected to be loculated pericardial effusion. During pericardiocentesis, cardiac tamponade was resolved, and irregular pericardial thickening was noted. Pericardial effusion was exudate and gram-positive bacterial colonies were observed on cytology. A diagnosis of fibrinous pericarditis secondary to bacterial infection was established.

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.