1.Clinical Outcome of Fetal Mild Ventriculomegaly.
Young Han KIM ; Hye Gyung GWON ; Chang Hee LEE ; Jee Yong KANG ; Jae Sung JO ; Yong Won PARK
Korean Journal of Obstetrics and Gynecology 2000;43(12):2248-2253
No abstract available.
2.Clinical Significance of Isolated Enlargement of the Cisterna Magna on Prenatal Sonography.
Young Han KIM ; Hye Gyung GWON ; Chang Hee LEE ; Jee Yong KANG ; Jae Sung JO ; Yong Won PARK
Korean Journal of Obstetrics and Gynecology 2000;43(12):2243-2247
No abstract available.
Cisterna Magna*
3.A case of megacolon complicating pregnancy.
Gyung An HAN ; Min Jung SEO ; Jee Gwon PARK ; Sung Jae LEE ; Won Joon CHOI ; Soon Ae LEE ; Jong Hak LEE ; Won Young BAEK
Korean Journal of Obstetrics and Gynecology 2000;43(12):2319-2322
No abstract available.
Megacolon*
;
Pregnancy*
4.Lymphocyte Subsets in Patients with Hepatitis B Virus Associated Glomerulonephritis.
Kook Hwan OH ; Cu Rie AHN ; Jee Eun OH ; Yon Su KIM ; Jin Suk HAN ; Sung Gwon KIM ; Myung Hee PARK ; Jung Sang LEE ; Jung Sik PARK ; Jong Ho LEE
Korean Journal of Nephrology 1998;17(3):407-415
Immune complex formation has been recently emphasized as an important pathogenetic mechanism of hepatitis B virus associated glomerulonephritis (HBGN), but little are known on the role of cell- mediated immunity in that disease. In this study, we measured lymphocyte subsets of the blood samples from three groups(HBGN group, healthy control group, hepatitis B group without renal disease) by flow cytometry in order to clarify abnormalities in immune regulatory system of HBGN. The results were as follows: 1) To compare between HBGN and healthy control group, the proportion of CD4+ cells were higher for HBGN than for healthy control but that of B lymphocytes were lower for HBGN than for healthy control. Between HBGN and hepatitis B group without renal disease, the proportion of B lymphocytes were higher for HBGN but that of NK cells were lower for HBGN(P<0.05). 2) To compare the male data of the three groups, the percentage of CD4+ cells in HBGN group were higher and the percentage of B lymphocytes were lower than healthy control. Between HBGN group and hepatitis B group without renal disease, no significant difference were noted in CD4+ cells, CD8+ cells, B lymphocytes, NK cells and CD4/CD8 ratio (P<0.05). 3) HBGN patients with membraneous nephropathy (MN) showed higher proportion of CD4+ cells than those with membranoproliferative glomerulonephritis (MPGN)(P<0.05). But, no difference was observed between HBGN patients with and without nephrotic syndrome. Nor between HBGN patients with and without HBe antigenemia. In conclusion, above result implies the pathogenetic role of cell-mediated immunity in HBGN. Analysis of lymphocyte subsets for each stage of HBGN, together with the assay of lymphocyte activation markers is required in the future.
Antigen-Antibody Complex
;
B-Lymphocytes
;
Flow Cytometry
;
Glomerulonephritis*
;
Glomerulonephritis, Membranoproliferative
;
Hepatitis B virus*
;
Hepatitis B*
;
Hepatitis*
;
Humans
;
Immunity, Cellular
;
Killer Cells, Natural
;
Lymphocyte Activation
;
Lymphocyte Subsets*
;
Lymphocytes*
;
Male
;
Nephrotic Syndrome
5.Introduction to the forensic research via omics markers in environmental health vulnerable areas (FROM) study
Jung-Yeon KWON ; Woo Jin KIM ; Yong Min CHO ; Byoung-gwon KIM ; Seungho LEE ; Jee Hyun RHO ; Sang-Yong EOM ; Dahee HAN ; Kyung-Hwa CHOI ; Jang-Hee LEE ; Jeeyoung KIM ; Sungho WON ; Hee-Gyoo KANG ; Sora MUN ; Hyun Ju YOO ; Jung-Woong KIM ; Kwan LEE ; Won-Ju PARK ; Seongchul HONG ; Young-Seoub HONG
Epidemiology and Health 2024;46(1):e2024062-
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.
6.Introduction to the forensic research via omics markers in environmental health vulnerable areas (FROM) study
Jung-Yeon KWON ; Woo Jin KIM ; Yong Min CHO ; Byoung-gwon KIM ; Seungho LEE ; Jee Hyun RHO ; Sang-Yong EOM ; Dahee HAN ; Kyung-Hwa CHOI ; Jang-Hee LEE ; Jeeyoung KIM ; Sungho WON ; Hee-Gyoo KANG ; Sora MUN ; Hyun Ju YOO ; Jung-Woong KIM ; Kwan LEE ; Won-Ju PARK ; Seongchul HONG ; Young-Seoub HONG
Epidemiology and Health 2024;46(1):e2024062-
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.
7.Introduction to the forensic research via omics markers in environmental health vulnerable areas (FROM) study
Jung-Yeon KWON ; Woo Jin KIM ; Yong Min CHO ; Byoung-gwon KIM ; Seungho LEE ; Jee Hyun RHO ; Sang-Yong EOM ; Dahee HAN ; Kyung-Hwa CHOI ; Jang-Hee LEE ; Jeeyoung KIM ; Sungho WON ; Hee-Gyoo KANG ; Sora MUN ; Hyun Ju YOO ; Jung-Woong KIM ; Kwan LEE ; Won-Ju PARK ; Seongchul HONG ; Young-Seoub HONG
Epidemiology and Health 2024;46(1):e2024062-
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.
8.Introduction to the forensic research via omics markers in environmental health vulnerable areas (FROM) study
Jung-Yeon KWON ; Woo Jin KIM ; Yong Min CHO ; Byoung-gwon KIM ; Seungho LEE ; Jee Hyun RHO ; Sang-Yong EOM ; Dahee HAN ; Kyung-Hwa CHOI ; Jang-Hee LEE ; Jeeyoung KIM ; Sungho WON ; Hee-Gyoo KANG ; Sora MUN ; Hyun Ju YOO ; Jung-Woong KIM ; Kwan LEE ; Won-Ju PARK ; Seongchul HONG ; Young-Seoub HONG
Epidemiology and Health 2024;46(1):e2024062-
This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.