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Effect of Food Sensitivity on Overweight Assessed Using Food-Specific Serum Immunoglobulin G Levels
이민형,길현민,Eugene Cheon,김소연,Jeahee Ryu,Hayoung Khil,강충원,박승일,강석성,금나나,권영은 한국바이오칩학회 2021 BioChip Journal Vol.15 No.3
Food sensitivity is considered to be implicated in obesity via chronic inflammation. Obesity has become a global epidemic, and overweight is a gateway to obesity. Hence, understanding the effect of food sensitivity on overweight is important for public health. To examine the association between food sensitivity and overweight, we compared the levels of diverse serological IgGs (total IgG, food-specific IgG [sIgG], and total food-sIgG [the sum of food-sIgG]) between overweight and lean Korean adults. A total of 164 Koreans aged 19–29 years participated in the study. We collected serum samples, information on frequency of food consumption, and height and weight measures to calculate body mass index (BMI). Immunoassays were performed using protein microarrays to determine total IgG, food-sIgG for each of the 68 food antigens, and the total food-sIgG. Participants were classified as overweight (BMI ≥ 25 kg/m 2 ) or lean (BMI < 25 kg/m 2 ). The Wilcoxon rank-sum test was used to compare the decile scores of IgG values between the groups. The total IgG ( P = 0.58) and total food-sIgG scores ( P = 0.27) did not differ significantly between the groups, precluding chronic inflammation as the cause of overweight. However, in the overweight group, food-sIgG scores against dairy products and seafood were significantly higher ( P < 0.05), whereas those against fruit and vegetables were significantly lower ( P < 0.05). In overweight individuals, food-sIgG scores against milk were not associated with the actual consumption ( P = 0.76), suggesting higher food-sIgG as an indicator of higher sensitivity than of higher consumption. Higher sensitivity to dairy foods and seafood and lower sensitivity to fruit and vegetables are likely associated with weight gain. Future studies are warranted to understand the heterogeneous associations between food-sIgGs and overweight.
Detectability of T-Measurable Diseases in Advanced Gastric Cancer on FDG PET-CT
Oh, Sun Young,Cheon, Gi Jeong,Kim, Young Chul,Jeong, Eugene,Kim, Seungeun,Choe, Jae-Gol The Korea Society of Nuclear Medicine 2012 핵의학 분자영상 Vol.46 No.4
Purpose Usefulness of FDG PET-CT in monitoring response in locally advanced gastric cancer has been reported. The purpose of this study was to evaluate the related factors to detect measurable diseases in advanced gastric cancer on FDG PET-CT. Methods We retrospectively reviewed 38 patients diagnosed as having advanced gastric cancer. We defined the measurable diseases when there was visualized tumor of which maximum standardized uptake value (SUVmax) was higher than $1.35^*SUVmax$ of liver + $2^*SD$ of liver SUV. We evaluated what kinds of factors from the clinicopathologic features were related to identifying measurable diseases. Results Of 38 patients with advanced gastric cancer, 18 (50 %) had measurable tumors on FDG PET-CT. Measurable tumors were significantly more frequent in well or moderately differentiated adenocarcinoma (70.5 % vs 35.3 %, p<0.05), in the tumors located at antrum or angle (66.7 % vs 29.4 %, p<0.05) and in the elderly group (age of 55 years old or more, 72.0 % vs 8.3 %, p<0.001) than the others, respectively. By multivariate analysis, age at diagnosis was the only independent predictor for the measurable disease on FDG PET-CT. Conclusion We found that age at diagnosis, as well as histologic types and location of tumors, were the affecting factors to detect measurable disease on FDG PET-CT in patients with advanced gastric cancer. Our study suggests that elderly patients of age of 55 years old or more can frequently have T-measurable disease on FDG PET-CT in advanced gastric cancer and FDG PET-CT will be helpful to monitor measurable disease.
Effect of Food Sensitivity on Overweight was Assessed Using Food-specific Serum IgG Levels
Minhyeong LEE,Soyoun KIM,Hyeonmin GIL,Eugene CHEON,Nana KEUM,Youngeun KWON 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Obesity has become a global epidemic, and overweight is a gateway to obesity. While it has been previously suggested that the food sensitivity is associated with obesity by causing chronic inflammation, the detailed effects and the mechanisms are not clearly elucidated. Understanding the association between food sensitivity and overweight is important for public health, and we studied this association by comparing the levels of total IgGs as well as food-specific IgGs (food-sIgG) between overweight and lean groups. We collected serum samples from 164 healthy participants along with their dietary information and body mass index (BMI). The amount of IgG was determined by microarray-based assays and the statistical analysis was carried out by converting the measure concentration to decile scores via the Wilcoxon rank-sum test. The total IgG and total food-sIgG scores were comparable between the groups (P >0.05), precluding chronic inflammation as the main cause of overweight. On the other hand, food-sIgG scores against dairy products and seafood were significantly higher (P <0.05) in the overweight group. The dietary information indicates the food-sIgG scores were not associated with the actual consumption (P >0.05), suggesting the higher food-sIgG as an indicator of food sensitivity rather than the result of higher consumption. This result suggests that the food-elimination therapy based on food sensitivity analysis could be effective treatment for overweight individuals.
최성우,Taekyu Kim,Hyang-kyeong Lee,Hyung-cheon Kim,Jihyun Han,Kyoung-bin Lee,Eun-hyouck Lim,Sang-ho Shin,Hyung-ah Jin,Eugene Cho,Young-min Kim,Chul Yoo 한국대기환경학회 2020 Asian Journal of Atmospheric Environment (AJAE) Vol.14 No.4
In 2016, air pollutant emissions in the Republic of Korea were 795,044 metric tons (hereafter tons) of CO, 1,248,309 tons of NOx, 358,951 tons of SOx, 611,539 tons of TSP, 233,085 tons of PM10, 100,247 tons of PM2.5, 16,401 tons of BC, 1,024,029 tons of VOCs, and 301,301 tons of NH3. Including energy production, thirteen emission sources, which comprise the national air pollutant emission inventory, were classified by their characteristics into five sectors (Energy, Industry, Road, Non-road, and Everyday Activities and Other Emission Sources) to analyze their relative contributions to the national emissions. Specifically, their contributions by pollutant were as follows: NOx (11.0%), SOx (21.9%), PM2.5 (3.2%), VOCs (0.8%), NH3 (0.5%) from the energy sector; NOx (20.2%), SOx (59.7%), PM2.5 (42.1%), VOCs (24.3%), and NH3 (14.4%) from the industry sector; NOx (36.3%), SOx (0.1%), PM2.5 (9.7%), VOCs (4.6%), and NH3 (1.7%) from the road sector; NOx (24.8%), SOx (11.5%), PM2.5 (14.3%), VOCs (4.0%), and NH3 (0.04%) from the non-road sector; and NOx (7.6%), SOx (6.7%), PM2.5 (30.6%), VOCs (66.3%), and NH3 (83.4%) from the everyday activities and other emission sources sector. The data we calculate are used as official national emissions data for the establishment, implementation, and assessment of national atmospheric environment policy to improve air quality. As critical and necessary materials, the data are also utilized on a wide range of studies on policies such as customized regional particulate matter reduction measures. Thus, it is crucial to estimate highly reliable national emissions by enhancing the emissions factors and inventory and to establish a scientific emissions testing system by using air quality modeling and satellite data.
Lee, Seung Soo,Ha, Hyun Kwon,Park, Seong Ho,Choi, Eugene K.,Kim, Ah Young,Kim, Jin Cheon,Han, Duck Jong Lippincott Williams Wilkins, Inc. 2008 Journal of computer assisted tomography Vol.32 No.5
OBJECTIVE:: To determine computed tomographic findings that are helpful in differentiating transmural infarction from nontransmural ischemia in patients with mesenteric ischemia secondary to acute mesenteric venous thrombosis (MVT). METHODS:: Twenty-seven patients with symptomatic acute MVT were categorized into 2 groups: a transmural infarction (n = 13) and a nontransmural ischemia group (n = 14) based on findings at surgery and clinical follow-up. Computed tomographic scans were retrospectively reviewed by the consensus of 2 radiologists. Computed tomographic findings were compared between the 2 groups using the Fisher exact and the independent sample t test. Multifactorial logistic regression analysis was performed to determine the best predictors for differentiating transmural infarction from nontransmural ischemia. RESULTS:: Bowel segments with homogeneous enhancement (P = 0.001), decreased enhancement (P = 0.001), and indistinct outer margins (P = 0.006) were significantly more common in the transmural infarction group than in the nontransmural ischemia group. The differences in maximal lumen diameter (P = 0.027), extent of mesenteric haziness (P = 0.018), and amount of ascites (P = 0.035) were significant between the 2 groups. On multifactorial logistic regression analysis, decreased enhancement (P = 0.007) and maximal lumen diameter (P = 0.039) were independent significant variables in differentiating transmural infarction from nontransmural ischemia. CONCLUSIONS:: In patients with acute MVT, computed tomography is valuable in differentiating transmural infarction from nontransmural ischemia.