1.Is GDF15 a Novel Biomarker to Predict the Development of Prediabetes or Diabetes?.
Diabetes & Metabolism Journal 2014;38(6):437-438
No abstract available.
Prediabetic State*
2.Thyroxine (T4) Autoantibody Interference of Free T4 Concentration Measurement in a Patient With Hashimoto's Thyroiditis.
Mi Na LEE ; Soo Youn LEE ; Kyu Yeon HUR ; Hyung Doo PARK
Annals of Laboratory Medicine 2017;37(2):169-171
No abstract available.
Adult
;
Autoantibodies/*immunology
;
Female
;
Hashimoto Disease/*diagnosis
;
Humans
;
Luminescent Measurements
;
Radioimmunoassay
;
Republic of Korea
;
Thyroid Function Tests
;
Thyroxine/*blood/immunology
;
Triiodothyronine/blood
3.Gut Microbiota and Metabolic Disorders.
Journal of Korean Diabetes 2017;18(2):63-70
The adult gut microbiota comprises 10~100 trillion microorganisms, which is equivalent to 10 times the number of total somatic and germ cells. Further, the collective genomes of gut microbiota (microbiome) contain 100~150-fold more genes than the human genome. The gut microbiota has coevolved with humans and has shown profound effects on various host responses. Recent findings have suggested that an altered gut microbial composition is associated with metabolic diseases, including obesity, diabetes, and non-alcoholic fatty liver disease. These findings indicate that the gut microbiota should be considered as an important factor to modulate host metabolism and metabolic disorders. If we could understand the alterations of the gut microbiota, in combination with dietary patterns, this might provide insights into how the gut microbiota contributes to disease progression and whether it could be a potential diagnostic, prognostic, and therapeutic target.
Adult
;
Diet
;
Disease Progression
;
Gastrointestinal Microbiome*
;
Genome
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Genome, Human
;
Germ Cells
;
Humans
;
Metabolic Diseases
;
Metabolism
;
Non-alcoholic Fatty Liver Disease
;
Obesity
4.Diagnosis of Peripheral Artery Disease: Focus on the 2016 American Heart Association/American College of Cardiology and 2017 European Society of Cardiology Guidelines
Journal of Korean Diabetes 2019;20(1):17-23
Peripheral artery disease (PAD) is the most frequent cause of reduced perfusion in peripheral arteries. Patients with PAD often have manifestations of atherosclerosis of the lower limb, although both symptomatic and asymptomatic disease is common. The clinical signs of PAD can differ in diabetic and non-diabetic patients. Diabetic patients are at high risk for PAD characterized by symptoms of intermittent claudication or critical limb ischemia. However, the majority of PAD patients are clinically asymptomatic. In addition to history taking, physical examinations including inspection of the skin, palpation of leg and foot pulses, and determination of the ankle-brachial index (ABI) are considered for diagnosis of PAD. The ABI measurement is the easiest and most common investigative technique for PAD. For hemodynamic assessment, additional diagnostic modalities could be considered.
Ankle Brachial Index
;
Arteries
;
Asymptomatic Diseases
;
Atherosclerosis
;
Cardiology
;
Diabetes Mellitus
;
Diagnosis
;
Extremities
;
Foot
;
Heart
;
Hemodynamics
;
Humans
;
Intermittent Claudication
;
Investigative Techniques
;
Ischemia
;
Leg
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Lower Extremity
;
Palpation
;
Perfusion
;
Peripheral Arterial Disease
;
Physical Examination
;
Skin
5.New Diagnostic Criteria for Gestational Diabetes Mellitus and Pregnancy Outcomes in Korea
Diabetes & Metabolism Journal 2019;43(6):763-765
No abstract available.
Diabetes, Gestational
;
Female
;
Korea
;
Pregnancy
;
Pregnancy Outcome
;
Pregnancy
6.2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System
Journal of Korean Diabetes 2021;22(4):250-258
The most important change introduced in the pharmacotherapy session for the 2021 Clinical Practice Guidelines for Diabetes is the recommendation of two different strategies according to the patient’s condition. One approach is to optimize the blood glucose levels, while the other approach is to reduce adverse cardiovascular events or mortality, especially in patients with comorbidities (e.g., heart failure, atherosclerotic cardiovascular disease, or chronic kidney disease). We suggest four algorithms that take into account the patient’s condition (algorithms 1 to 4). The Korean Diabetes Association (KDA) developed a web-based clinical decision support system, known as the KDA support system (KDASS), which helps with the diagnosis of diabetes or gestational diabetes and whether to use glucose-lowering agents according to the patient’s condition.
8.Glucose-Dependent Insulinotropic Peptide Level Is Associated with the Development of Type 2 Diabetes Mellitus.
Sunghwan SUH ; Mi Yeon KIM ; Soo Kyoung KIM ; Kyu Yeon HUR ; Mi Kyoung PARK ; Duk Kyu KIM ; Nam H CHO ; Moon Kyu LEE
Endocrinology and Metabolism 2016;31(1):134-141
BACKGROUND: Incretin hormone levels as a predictor of type 2 diabetes mellitus have not been fully investigated. Therefore, we measured incretin hormone levels to examine the relationship between circulating incretin hormones, diabetes, and future diabetes development in this study. METHODS: A nested case-control study was conducted in a Korean cohort. The study included the following two groups: the control group (n=149), the incident diabetes group (n=65). Fasting total glucagon-like peptide-1 (GLP-1) and total glucose-dependent insulinotropic peptide (GIP) levels were measured and compared between these groups. RESULTS: Fasting total GIP levels were higher in the incident diabetes group than in the control group (32.64±22.68 pmol/L vs. 25.54±18.37 pmol/L, P=0.034). There was no statistically significant difference in fasting total GLP-1 levels between groups (1.14±1.43 pmol/L vs. 1.39±2.13 pmol/L, P=0.199). In multivariate analysis, fasting total GIP levels were associated with an increased risk of diabetes (odds ratio, 1.005; P=0.012) independent of other risk factors. CONCLUSION: Fasting total GIP levels may be a risk factor for the development of type 2 diabetes mellitus. This association persisted even after adjusting for other metabolic parameters such as elevated fasting glucose, hemoglobin A1c, and obesity in the pre-diabetic period.
Case-Control Studies
;
Cohort Studies
;
Diabetes Mellitus, Type 2*
;
Fasting
;
Gastric Inhibitory Polypeptide*
;
Glucagon-Like Peptide 1
;
Glucose
;
Incretins
;
Multivariate Analysis
;
Obesity
;
Risk Factors
9.A Case of Wolf-Hirschhorn Syndrome Resulting from Familial Translocation.
So Yeon YOON ; Jae Kyun HUR ; Dae Chul JEONG ; Won Bae LEE ; Chang Kyu OH
Journal of the Korean Pediatric Society 1999;42(8):1149-1153
Wolf-Hirschhorn syndrome is caused by a partial loss of the distal short arm of chromosome 4. Characteristic clinical features are severe growth retardation, mental retardation, seizures, congenital cardiac defects, urogenital abnormalities, microcephaly, hypertelorism, prominent glabella, cleft lip and palate and micrognathia. In 87% of cases, chromosome 4 deletion arises as a de novo event, whereas in the remaining cases it is derived from a familial balanced translocation. Chromosomal study of the patient showed 46 XX der(4)t(4;18)(p15.2;q23), and the patient's mother was found to have a balanced translocation, 46 XX t(4;18)(p15.2;q23).
Arm
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Chromosomes, Human, Pair 4
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Cleft Lip
;
Humans
;
Hypertelorism
;
Intellectual Disability
;
Microcephaly
;
Mothers
;
Palate
;
Seizures
;
Urogenital Abnormalities
;
Wolf-Hirschhorn Syndrome*
10.Alterations in Gut Microbiota and Immunity by Dietary Fat.
Bo Gie YANG ; Kyu Yeon HUR ; Myung Shik LEE
Yonsei Medical Journal 2017;58(6):1083-1091
Gut microbiota play critical physiological roles in energy extraction from the intestine and in the control of systemic immunity, as well as local intestinal immunity. Disturbance of gut microbiota leads to the development of several diseases, such as colitis, inflammatory bowel diseases, metabolic disorders, cancer, etc. From a metabolic point of view, the gut is a large metabolic organ and one of the first to come into contact with dietary fats. Interestingly, excessive dietary fat has been incriminated as a primary culprit of metabolic syndrome and obesity. After intake of high-fat diet or Western diet, extensive changes in gut microbiota have been observed, which may be an underlying cause of alterations in whole body metabolism and nutrient homeostasis. Here, we summarize recent data on changes in the gut microbiota and immunity associated with dietary fat, as well as their relationships with the pathogenesis of metabolic syndrome. These findings may provide insight into the understanding of the complex pathophysiology related to the development of metabolic diseases and offer an opportunity to develop novel candidates for therapeutic agents.
Colitis
;
Diet, High-Fat
;
Diet, Western
;
Dietary Fats*
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Gastrointestinal Microbiome*
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Homeostasis
;
Inflammatory Bowel Diseases
;
Intestines
;
Metabolic Diseases
;
Metabolism
;
Obesity