In the presence of obesity, β-cell mass needs to be increased to compensate for the accompanying demands and maintain euglycemia. However, in Korea, the majority of type 2 diabetic patients are nonobese. We determined the absolute masses, relative volumes, and ratio of α- and β-cell in the pancreas and islets in normal and diabetic Korean subjects to correlate these findings with the clinical characteristics. Whole pancreases procured from organ donors were divided into 24 parts (control 1, n = 9). Tissue was also obtained by surgical resection after 35 partial pancreatectomies: in 25 diabetic patients, 10 age- and body mass index (BMI)-matched patients of benign or malignant pancreatic tumor without diabetes mellitus (DM) (control 2). Morphometric quantifications were performed. In control 1, the relative volume of β-cells was 2.1 ± 0.9%, and the total β-cell mass was 1.3 ± 0.3 g. The relative volume of β-cells was found to be variable (control 1, 2.1 ± 0.9%; control 2, 1.9 ± 0.7%; DM, 1.4 ± 1.0%; P < 0.05 DM vs. control 1 and 2) and showed good correlation with BMI (control 1, r² = 0.64; DM, r² = 0.55; all subjects, r² = 0.38; P < 0.05). Notably, in type 2 diabetic patients, the ratio of α-cell area to β-cell area in the islet was higher than in control 1 and 2 (0.81 ± 0.4 vs. 0.29 ± 0.2, 0.20 ± 0.1, P < 0.05). Additionally, significant α-cell expansion and a decreased β-cell fraction were predominantly observed in larger islets (islet area, >6415 μm²; P < 0.05) in control 1 and diabetic patients. The relative volume of β-cell was found to be correlated with BMI in diabetic patients and normal organ donors. Moreover, decreased β-cell but increased α-cell proportion in the islets suggests for a selective β-cell loss in the pathogenesis of Korean type 2 diabetes.

To determine whether the TyG index, a product of the levels of triglycerides and fasting plasma glucose (FPG) might be a valuable marker for predicting future diabetes. A total of 5,354 nondiabetic subjects who had completed their follow-up visit for evaluating diabetes status were selected from a large cohort of middle-aged Koreans in the Chungju Metabolic Disease Cohort study. The risk of diabetes was assessed according to the baseline TyG index, calculated as ln[fasting triglycerides (mg/dL) × FPG (mg/dL)/2]. The median follow-up period was 4.6 years. During the follow-up period, 420 subjects (7.8%) developed diabetes. The baseline values of the TyG index were significantly higher in these subjects compared with nondiabetic subjects (8.9±0.6 vs. 8.6±0.6; P<0.0001) and the incidence of diabetes increased in proportion to TyG index quartiles. After adjusting for age, gender, body mass index, waist circumference, systolic blood pressure, high-density lipoprotein (HDL)-cholesterol level, a family history of diabetes, smoking, alcohol drinking, education level and serum insulin level, the risk of diabetes onset was more than fourfold higher in the highest vs. the lowest quartile of the TyG index (relative risk, 4.095; 95% CI, 2.701–6.207). The predictive power of the TyG index was better than the triglyceride/HDL-cholesterol ratio or the homeostasis model assessment of insulin resistance. The TyG index, a simple measure reflecting insulin resistance, might be useful in identifying individuals at high risk of developing diabetes.

A mobile phone with a glucometer integrated into the battery pack (the ‘Diabetes Phone’) was launched in Korea in 2003. We compared its effect on management of type 2 diabetes to the Internet-based glucose monitoring system (IBGMS), which had been studied previously. We conducted a randomized trial involving 69 patients for three months. Participants were assigned to an Internet group or a phone group. The phone group communicated with medical staff through the mobile phone only. Their glucose-monitoring data were automatically transferred to individual, web-based charts and they received medical recommendations by short message service. The Internet group used the IBGMS. There were no significant differences between the groups at baseline. After three months' intervention, HbA_1c levels of both groups had decreased significantly, from 7.6% to 6.9% for the Internet group and from 8.3% to 7.1% for the phone group ( P < 0.01). Levels of patient satisfaction and adherence to medical advice were similar. Mobile, bidirectional communication between doctors and patients using the diabetes phone was as effective for glucose control as the previously-studied Internet-based monitoring system and it was good for patient satisfaction and adherence.

Objectives: Metabolically obese but normal weight (MONW) individuals constitute a subgroup of normal weight individuals that display impaired insulin sensitivity with a higher risk of developing diabetes, cardiovascular disease and mortality. We aimed to propose a novel criterion for defining MONW by examining the usefulness and the cutoff value of the TyG index, a product of the levels of triglycerides and glucose, in identifying MONW individuals. In addition, the performance of this criterion in predicting the future incidence of diabetes was assessed. Subjects/methods: A total of 7541 non-diabetic, normal weight (body mass index ⩾18.5 and <25 kg m⁻²) subjects were selected from the Korea National Health and Nutrition Examination Survey conducted in 2009–2010. Another 3185 participants with follow-up studies were selected from a prospective community-based cohort study. The TyG index was calculated as ln(fasting triglycerides (mg dl⁻¹) × fasting glucose (mg dl⁻¹)/2). Results: The levels of the TyG index paralleled the prevalence of metabolic syndrome and its components. The cutoff value of the TyG index that reflected MONW based on the receiver operating characteristics analysis was 8.82 for men and 8.73 for women, with the area under the curve values being 0.855 and 0.868, respectively. The sensitivity and the specificity were 84.2 and 77.6% in men and 69.1 and 89.4% in women, respectively. Individuals designated as MONW, who have a normal weight and TyG levels higher than cutoff, displayed a metabolically unhealthy phenotype and an approximately twofold higher risk of developing diabetes compared with metabolically healthy normal weight subjects. Conclusions: We propose a simple diagnostic criterion of MONW, which might be used to discriminate subjects with a higher risk of metabolic diseases.