1.Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop LEE ; Na Keum LEE ; Joon Ho MOON
Endocrinology and Metabolism 2025;40(1):10-25
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder. This review offers a comprehensive summary of clinical epidemiological studies concerning maternal and fetal complications and explores mechanistic investigations that reveal the underlying pathophysiology.
2.Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop LEE ; Na Keum LEE ; Joon Ho MOON
Endocrinology and Metabolism 2025;40(1):10-25
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder. This review offers a comprehensive summary of clinical epidemiological studies concerning maternal and fetal complications and explores mechanistic investigations that reveal the underlying pathophysiology.
3.Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop LEE ; Na Keum LEE ; Joon Ho MOON
Endocrinology and Metabolism 2025;40(1):10-25
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder. This review offers a comprehensive summary of clinical epidemiological studies concerning maternal and fetal complications and explores mechanistic investigations that reveal the underlying pathophysiology.
4.Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop LEE ; Na Keum LEE ; Joon Ho MOON
Endocrinology and Metabolism 2025;40(1):10-25
Gestational diabetes mellitus (GDM) affects over 10% of all pregnancies, both in Korea and worldwide. GDM not only increases the risk of adverse pregnancy outcomes such as preeclampsia, preterm birth, macrosomia, neonatal hypoglycemia, and shoulder dystocia, but it also significantly increases the risk of developing postpartum type 2 diabetes mellitus and cardiovascular disease in the mother. Additionally, GDM is linked to a higher risk of childhood obesity and diabetes in offspring, as well as neurodevelopmental disorders, including autistic spectrum disorder. This review offers a comprehensive summary of clinical epidemiological studies concerning maternal and fetal complications and explores mechanistic investigations that reveal the underlying pathophysiology.
5.Characteristics of Psychiatric Patients Referred by Police to an Emergency Department
Heeyeon KEUM ; Jangho PARK ; Kukju KWEON ; Joon Ho AHN
Journal of Korean Neuropsychiatric Association 2019;58(3):230-237
OBJECTIVES: This study compared the demographic and clinical characteristics of police referrals with referrals from other sources to a psychiatric emergency department. METHODS: A retrospective cross-sectional study was conducted on the data from the psychiatric emergency department of Ulsan University Hospital from January 2014 to October 2017. The study sample consisted of 79 psychiatric patients who were referred by police, and the characteristics of this group were compared with those of 240 psychiatric patients who were referred by other sources. The collected data were analyzed using a chi-square, Fisher's exact test, and independent sample t-tests. RESULTS: Among the 1768 psychiatric emergency visits, 89 (5.0%) were referred by police, and among the 79 referrals by police chosen as the study group, there were 4(5.1%) cases of emergent psychiatric admission. These patients referred by police were more likely to be male and in a lower socio-economic status. Police referrals were more likely to exhibit violent behavior, be restrained, and more likely to visit after working hours. They were notified more rapidly to the psychiatric department, less notified to other departments, and visited the psychiatric outpatient clinics less after discharge from the emergency department. CONCLUSION: The study results highlight the importance of understanding the characteristics of psychiatric emergency patients referred by police and identifying the problems of the current psychiatric emergency services. Systems need to be developed that clarify the roles of police in psychiatric emergencies and facilitate collaboration between police and mental health institutions.
Ambulatory Care Facilities
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Cooperative Behavior
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Cross-Sectional Studies
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Emergencies
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Emergency Service, Hospital
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Emergency Services, Psychiatric
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Humans
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Male
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Mental Health
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Police
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Referral and Consultation
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Retrospective Studies
;
Ulsan
6.Optimal time for repeating the IgM anti-hepatitis A virus antibody test in acute hepatitis A patients with a negative initial test.
Jong Jin HYUN ; Yeon Seok SEO ; Hyonggin AN ; Sun Young YIM ; Min Ho SEO ; Hye Sook KIM ; Chang Ha KIM ; Ji Hoon KIM ; Bora KEUM ; Yong Sik KIM ; Hyung Joon YIM ; Hong Sik LEE ; Soon Ho UM ; Chang Duck KIM ; Ho Sang RYU
The Korean Journal of Hepatology 2012;18(1):56-62
BACKGROUND/AIMS: The nonspecific clinical presentation of acute hepatitis A (AHA) mandates the detection of anti-hepatitis A virus IgM antibodies (IgM anti-HAV) in the serum for obtaining a definitive diagnosis. However, IgM anti-HAV might not be present during the early phase of the disease. The aim of this study was to determine the optimal time for repeating the IgM anti-HAV test (HAV test) in AHA patients with a negative initial test. METHODS: In total, 261 patients hospitalized with AHA were enrolled for this retrospective study. AHA was diagnosed when the test for IgM anti-HAV was positive and the serum alanine aminotransferase (ALT) level was > or =400 IU/L. Repeat HAV test was conducted after 1-2 weeks if the initial HAV test was negative but AHA was still clinically suspected. RESULTS: The results of the initial HAV test were negative in 28 (10.7%) patients. The intervals from symptom onset to the initial-HAV-test day and from the peak-ALT day to the initial-HAV-test day were significantly shorter in the negative-initial-HAV-test group, but on multivariate analysis only the latter was significantly associated with negative results for the initial HAV test (beta=-0.978; odds ratio [95% confidence interval]=0.376 [0.189-0.747]; P=0.005). The HAV test was positive in all patients when it was performed at least 2 days after the peak-ALT day. CONCLUSIONS: The results of HAV tests were significantly associated with the interval from the peak-ALT day to the HAV-test day. The optimal time for repeating the HAV test in clinically suspicious AHA patients with a negative initial HAV test appears to be at least 2 days after the peak-ALT day.
Acute Disease
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Adult
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Alanine Transaminase/blood
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Female
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Hepatitis A/*diagnosis
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Hepatitis A Antibodies/*blood
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Hepatitis A virus/*immunology
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Humans
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Immunoglobulin M/*blood
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Male
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Odds Ratio
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Retrospective Studies
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Time Factors
7.Seasonal Variation in Insulin Resistance in Koreans.
Sung Keun PARK ; Ki Chul SUNG ; Hun Sub SHIN ; Hyun Il SEO ; Sang Jun HWANG ; Eun Ran KIM ; Do Young LEE ; Chang Joon KIM ; Byung Jin KIM ; Bum Soo KIM ; Jin Ho KANG ; Man Ho LEE ; Jung Ro PARK ; Seung Ho RYU ; Dong Keuk KEUM
Korean Circulation Journal 2005;35(8):620-624
BACKGROUND AND OBJECTIVES: There is a seasonal variation in the incidence of diabetes mellitus and cardiovascular disease. Insulin resistance is important in the development of both non-insulin dependent diabetes mellitus (Type II DM) and cardiovascular disease. Hyperinsulinemia, induced by an insulin resistant state, causes the development of a chronic inflammatory response in vascular structures, which is one of the main causes of cardiovascular disease. There have been several studies on seasonal variation in insulin resistance. Therefore, seasonal variation in insulin resistance were investigated to discover if any relationship existed. SUBJECTS AND METHODS: Korean people examined at a health care center were included. The subjects were divided into four groups, according to the season, and a homeostasis model assessment index (HOMA) calculated, as an indicator of insulin resistance, and compared between the groups. RESULTS: Using the homeostasis model assessment, the highest insulin resistance was observed during winter. Also, the body mass index and waist-hip ratio were highest during winter. CONCLUSION: Compensating for other metabolic factors (age, gender, body mass index, waist-hip ratio and season), insulin resistance was still found to be higher during winter. Seasonal variation in insulin resistance can be associated with the incidence of DM or cardiovascular disease. Therefore, a prospective study will be needed.
Body Mass Index
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Cardiovascular Diseases
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Delivery of Health Care
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Diabetes Mellitus
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Homeostasis
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Hyperinsulinism
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Incidence
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Insulin Resistance*
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Insulin*
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Seasons*
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Waist-Hip Ratio
8.Relationship between Serum Insulin-like Growth Factor-1 Concentration and Insulin Resistance in End-stage Renal Disease Patients.
Seoung Woo LEE ; Keum Ho LEE ; Geun Ho PARK ; Seung Won LEE ; Joon Ho SONG ; Moon Jae KIM
Korean Journal of Nephrology 2005;24(3):375-383
BACKGROUND: Insulin resistance is a characteristic feature of uremia and recent studies suggested that it might be one of the causes of muscle wasting. Serum insulin-like growth factor 1 (IGF-1) has been known as one of marker of malnutrition in end-stage renal disease (ESRD) patients. However, there were few studies on the relationship between IGF-1 and insulin resistance. METHODS: We measured serum IGF-1, prealbumin, albumin, plasma insulin and glucose concentration and body composition by dual energy X-ray absorptiometry in 20 non-diabetic ESRD patients who admitted to start dialysis. Homeostasis model assessment method of insulin resistance (HOMA-IR) was used for insulin resistance. RESULTS: Patients with IGF-1 <200 ng/mL (n=6) had significantly lower body weight (BW), body mass index (BMI), prealbumin (29.8+/-7.0 vs. 39.7+/-9.3 mg/ dL, p=0.022), Fat mass, pFat (percent fat mass), pFat-limb and HOMA-IR (1.44+/-0.59 vs. 3.47+/-2.22, p=0.04) than those with >200 ng/mL (n=14). IGF-1 showed positive correlations with BMI (r=0.45), prealbumin (r=0.6), Fat-limb (r=0.51), and HOMA-IR (r=0.67). On WHO classification for weight status, IGF-1 seemed to be higher when weight status was increased from underweight (151.8+/-41.6 ng/mL) to overweight (371.8+/-109.8 ng/mL) and these trends were similar to those of HOMA-IR. On multivariate analysis, IGF-1 was independent variable for affecting HOMA-IR. CONCLUSION: Serum IGF-1 concentration seems to be associated with insulin resistance in ESRD patients and reflect body composition, especially fat mass.
Absorptiometry, Photon
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Body Composition
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Body Mass Index
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Body Weight
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Classification
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Dialysis
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Glucose
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Homeostasis
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Humans
;
Insulin Resistance*
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Insulin*
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Insulin-Like Growth Factor I
;
Kidney Failure, Chronic*
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Malnutrition
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Multivariate Analysis
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Overweight
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Plasma
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Prealbumin
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Thinness
;
Uremia
9.Characterization of canine oral papillomavirus by histopathological and genetic analysis in Korea.
Ji Young YHEE ; Byung Joon KWON ; Jong Hyuk KIM ; Chi Ho YU ; Keum Soon IM ; Sung Seok LEE ; Young Soo LYOO ; Byung Joon CHANG ; Jung Hyang SUR
Journal of Veterinary Science 2010;11(1):21-25
In August 2008, forty dogs out of 400 developed oral warts in a breeding farm in Korea. Canine oral papilloma infection is a common disease in dogs. However, there has been no report of an outbreak of canine oral papillomavirus (COPV) in a group of dogs or in dog breeding farms in Korea, and the genetic analysis of COPV in Korea has yet to be performed. This study diagnosed canine oral papilloma from the oral samples of these dogs based on histopathological examination and immunohistochemistry. Polymerase chain reaction was applied to amplify the corresponding products using pre-existing primer sets for COPV and a universal human papillomavirus targeting L1 gene. Further genetic analysis of the major viral capsid gene L1 confirms the sequences of Korean COPV, which shows a close relationship to previously reported COPV. This study describes the histopathological and immunohistochemical characteristics of canine oral papilloma in a group of breeding dogs in Korea and discloses the complete L1 gene sequences of Korean COPV.
Animals
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Base Sequence
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Capsid Proteins/chemistry/genetics
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DNA, Viral/chemistry/genetics
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Disease Outbreaks/*veterinary
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Dog Diseases/epidemiology/*virology
;
Dogs
;
Immunohistochemistry/veterinary
;
Korea/epidemiology
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Lambdapapillomavirus/genetics/*isolation & purification
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Molecular Sequence Data
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Mouth Diseases/epidemiology/*veterinary/virology
;
Papillomavirus Infections/epidemiology/*veterinary/virology
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Polymerase Chain Reaction/veterinary
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Sequence Analysis, DNA
10.Usefulness of Non-invasive Markers for Predicting Significant Fibrosis in Patients with Chronic Liver Disease.
Han Hyo LEE ; Yeon Seok SEO ; Soon Ho UM ; Nam Hee WON ; Hanna YOO ; Eun Suk JUNG ; Yong Dae KWON ; Sanghoon PARK ; Bora KEUM ; Yong Sik KIM ; Hyung Joon YIM ; Yoon Tae JEEN ; Hoon Jai CHUN ; Chang Duck KIM ; Ho Sang RYU
Journal of Korean Medical Science 2010;25(1):67-74
The purpose of this prospective study was to verify and compare the strengths of various blood markers and fibrosis models in predicting significant liver fibrosis. One hundred fifty-eight patients with chronic liver disease who underwent liver biopsy were enrolled. The mean age was 41 yr and male patients accounted for 70.2%. The common causes of liver disease were hepatitis B (67.7%) and C (16.5%) and fatty liver (9.5%). Stages of liver fibrosis (F0-4) were assessed according to the Batts and Ludwig scoring system. Significant fibrosis was defined as > or =F2. Sixteen blood markers were measured along with liver biopsy, and estimates of hepatic fibrosis were calculated using various predictive models. Predictive accuracy was evaluated with a receiver-operating characteristics (ROC) curve. Liver biopsy revealed significant fibrosis in 106 cases (67.1%). On multivariate analysis, alpha2-macroglobulin, hyaluronic acid, and haptoglobin were found to be independently related to significant hepatic fibrosis. A new predictive model was constructed based on these variables, and its area under the ROC curve was 0.91 (95% confidence interval, 0.85-0.96). In conclusion, alpha2-macroglobulin, hyaluronic acid, and haptoglobin levels are independent predictors for significant hepatic fibrosis in chronic liver disease.
Adult
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Biological Markers/blood
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Chronic Disease
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Fatty Liver/complications
;
Female
;
Fibrosis
;
Haptoglobins/analysis
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Hepatitis B/complications
;
Hepatitis C/complications
;
Humans
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Hyaluronic Acid/blood
;
Liver Cirrhosis/complications/*diagnosis
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Liver Diseases/complications/*diagnosis
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Male
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Middle Aged
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Predictive Value of Tests
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Prospective Studies
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ROC Curve
;
alpha-Macroglobulins/analysis