Identification of type 2 diabetes loci in 433,540 East Asian individuals.

Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)1,2; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells3. At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes-NKX6-3 and ANK1-in different tissues4-6. Association studies in diverse populations identify additional loci and elucidate disease-associated genes, biology, and pathways.

Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial.

AIMS/HYPOTHESIS: This study compares the efficacy and safety of a tubeless, on-body automated insulin delivery (AID) system with that of a tubeless, on-body sensor-augmented pump (SAP). METHODS: This multicentre, parallel-group, RCT was conducted at 13 tertiary medical centres in South Korea. Adults aged 19-69 years with type 1 diabetes who had HbA1c levels of <85.8 mmol/mol (<10.0%) were eligible. The participants were assigned at a 1:1 ratio to receive a tubeless, on-body AID system (intervention group) or a tubeless, on-body SAP (control group) for 12 weeks. Stratified block randomisation was conducted by an independent statistician. Blinding was not possible due to the nature of the intervention. The primary outcome was the percentage of time in range (TIR), blood glucose between 3.9 and 10.0 mmol/l, as measured by continuous glucose monitoring. ANCOVAs were conducted with baseline values and study centres as covariates. RESULTS: A total of 104 participants underwent randomisation, with 53 in the intervention group and 51 in the control group. The mean (±SD) age of the participants was 40±11 years. The mean (±SD) TIR increased from 62.1±17.1% at baseline to 71.5±10.7% over the 12 week trial period in the intervention group and from 64.7±17.0% to 66.9±15.0% in the control group (difference between the adjusted means: 6.5% [95% CI 3.6%, 9.4%], p<0.001). Time below range, time above range, CV and mean glucose levels were also significantly better in the intervention group compared with the control group. HbA1c decreased from 50.9±9.9 mmol/mol (6.8±0.9%) at baseline to 45.9±7.4 mmol/mol (6.4±0.7%) after 12 weeks in the intervention group and from 48.7±9.1 mmol/mol (6.6±0.8%) to 45.7±7.5 mmol/mol (6.3±0.7%) in the control group (difference between the adjusted means: -0.7 mmol/mol [95% CI -2.0, 0.8 mmol/mol] (-0.1% [95% CI -0.2%, 0.1%]), p=0.366). No diabetic ketoacidosis or severe hypoglycaemia events occurred in either group. CONCLUSIONS/INTERPRETATION: The use of a tubeless, on-body AID system was safe and associated with superior glycaemic profiles, including TIR, time below range, time above range and CV, than the use of a tubeless, on-body SAP. TRIAL REGISTRATION: Clinical Research Information Service (CRIS) KCT0008398 FUNDING: The study was funded by a grant from the Korea Medical Device Development Fund supported by the Ministry of Science and ICT; the Ministry of Trade, Industry and Energy; the Ministry of Health and Welfare; and the Ministry of Food and Drug Safety (grant number: RS-2020-KD000056).

Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes.

Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D pathophysiology, the GENetics of Diabetes In Pregnancy Consortium assembled genome-wide association studies of diverse ancestry in a total of 5485 women with GDM and 347 856 without GDM. Through multi-ancestry meta-analysis, we identified five loci with genome-wide significant association (P < 5 × 10-8) with GDM, mapping to/near MTNR1B (P = 4.3 × 10-54), TCF7L2 (P = 4.0 × 10-16), CDKAL1 (P = 1.6 × 10-14), CDKN2A-CDKN2B (P = 4.1 × 10-9) and HKDC1 (P = 2.9 × 10-8). Multiple lines of evidence pointed to the shared pathophysiology of GDM and T2D: (i) four of the five GDM loci (not HKDC1) have been previously reported at genome-wide significance for T2D; (ii) significant enrichment for associations with GDM at previously reported T2D loci; (iii) strong genetic correlation between GDM and T2D and (iv) enrichment of GDM associations mapping to genomic annotations in diabetes-relevant tissues and transcription factor binding sites. Mendelian randomization analyses demonstrated significant causal association (5% false discovery rate) of higher body mass index on increased GDM risk. Our results provide support for the hypothesis that GDM and T2D are part of the same underlying pathology but that, as exemplified by the HKDC1 locus, there are genetic determinants of GDM that are specific to glucose regulation in pregnancy.

Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add-on therapy in drug-naïve patients with type 2 diabetes (TRIPLE-AXEL study): A multicentre, randomized, 104-week, open-label, active-controlled trial.

AIM: To evaluate the efficacy and tolerability of an initial triple combination therapy (TCT) compared with conventional stepwise add-on therapy (SAT) in patients with newly diagnosed type 2 diabetes (T2D). MATERIALS AND METHODS: This multicentre, randomized, 104-week, open-label trial randomized 105 patients with drug-naïve T2D (with HbA1c level ≥ 8.0%, < 11.0%) to the TCT (1000 mg of metformin, 10 mg of dapagliflozin and 5 mg of saxagliptin once daily) or SAT (initiated with metformin, followed by glimepiride and sitagliptin) groups. The primary outcome was the proportion of patients who achieved an HbA1c level of less than 6.5% without hypoglycaemia, weight gain of 5% or higher, or discontinuation of drugs because of adverse events at week 104. RESULTS: HbA1c reduction from baseline at week 104 was similar between the groups (the least squares mean change was -2.56% in the TCT group vs. -2.75% in the SAT group). The primary outcome was achieved in 39.0% and 17.1% of the TCT and SAT groups, respectively, with a risk difference of 22.0 (95% confidence interval 3.0, 40.8; P = .027). HbA1c level less than 6.5% at week 104 was 46.3% in both the TCT and SAT groups, whereas the incidence of hypoglycaemia, weight gain, or discontinuation of drugs was 16.7% and 62.0% in the TCT and SAT groups, respectively (P < .001). TCT was well-tolerated and had fewer adverse events than SAT. CONCLUSIONS: Among newly diagnosed patients with T2D, initial TCT effectively lowered HbA1c levels with higher tolerability and safety than SAT for 104 weeks, suggesting a novel strategy for initial combination therapy in T2D patients.

Long-term efficacy and safety of enavogliflozin in Korean people with type 2 diabetes: A 52-week extension of a Phase 3 randomized controlled trial.

AIMS: To evaluate the long-term safety and efficacy of enavogliflozin monotherapy (0.3 mg/day) in individuals with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Following a 24-week randomized, double-blind treatment period with enavogliflozin 0.3 mg/day (n = 77) or placebo (n = 69), consenting participants received enavogliflozin 0.3 mg/day for an additional 28 weeks during an open-label extension (OLE) period. The safety and efficacy of enavogliflozin were assessed at Week 52. RESULTS: A total of 37 participants continued enavogliflozin (maintenance group), and 26 participants switched from placebo to enavogliflozin (switch group). No additional adverse drug reactions related to enavogliflozin were observed during the OLE period. At Week 52, glycated haemoglobin (HbA1c) and fasting plasma glucose were significantly lower than at the baseline, by 0.9% and 24.9 mg/dL, respectively, in the maintenance group (p < 0.0001 for both), and by 0.7% and 18.0 mg/dL, respectively, in the switch group (p < 0.0001 and p = 0.002). The proportions of participants reaching HbA1c 7.0% (53 mmol/mol) at Week 52 were 69.4% in the maintenance group and 65.4% in the switch group. A significant increase in urine glucose-to-creatinine ratio was observed at Week 52, by 84.9 g/g and 67.1 g/g in the maintenance and switch groups, respectively (p < 0.0001 for both). Body weight in both groups decreased significantly (p < 0.0001) from baseline to Week 52, by 3.5 kg and 3.8 kg in the maintenance and switch groups, respectively. CONCLUSIONS: Enavogliflozin 0.3 mg monotherapy provides long-term glycaemic control in T2DM and is safe and well tolerated during a 52-week treatment period.

Simple and robust high-throughput serum proteomics workflow with low-microflow LC-MS/MS.

Clinical proteomics has substantially advanced in identifying and quantifying proteins from biofluids, such as blood, contributing to the discovery of biomarkers. The throughput and reproducibility of serum proteomics for large-scale clinical sample analyses require improvements. High-throughput analysis typically relies on automated equipment, which can be costly and has limited accessibility. In this study, we present a rapid, high-throughput workflow low-microflow LC-MS/MS method without automation. This workflow was optimized to minimize the preparation time and costs by omitting the depletion and desalting steps. The developed method was applied to data-independent acquisition (DIA) analysis of 235 samples, and it consistently yielded approximately 6000 peptides and 600 protein groups, including 33 FDA-approved biomarkers. Our results demonstrate that an 18-min DIA high-throughput workflow, assessed through intermittently collected quality control samples, ensures reproducibility and stability even with 2 µL of serum. It was successfully used to analyze serum samples from patients with diabetes having chronic kidney disease (CKD), and could identify five dysregulated proteins across various CKD stages.

High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease.

AIMS/HYPOTHESIS: Type 2 diabetes is highly polygenic and influenced by multiple biological pathways. Rapid expansion in the number of type 2 diabetes loci can be leveraged to identify such pathways. METHODS: We developed a high-throughput pipeline to enable clustering of type 2 diabetes loci based on variant-trait associations. Our pipeline extracted summary statistics from genome-wide association studies (GWAS) for type 2 diabetes and related traits to generate a matrix of 323 variants × 64 trait associations and applied Bayesian non-negative matrix factorisation (bNMF) to identify genetic components of type 2 diabetes. Epigenomic enrichment analysis was performed in 28 cell types and single pancreatic cells. We generated cluster-specific polygenic scores and performed regression analysis in an independent cohort (N=25,419) to assess for clinical relevance. RESULTS: We identified ten clusters of genetic loci, recapturing the five from our prior analysis as well as novel clusters related to beta cell dysfunction, pronounced insulin secretion, and levels of alkaline phosphatase, lipoprotein A and sex hormone-binding globulin. Four clusters related to mechanisms of insulin deficiency, five to insulin resistance and one had an unclear mechanism. The clusters displayed tissue-specific epigenomic enrichment, notably with the two beta cell clusters differentially enriched in functional and stressed pancreatic beta cell states. Additionally, cluster-specific polygenic scores were differentially associated with patient clinical characteristics and outcomes. The pipeline was applied to coronary artery disease and chronic kidney disease, identifying multiple overlapping clusters with type 2 diabetes. CONCLUSIONS/INTERPRETATION: Our approach stratifies type 2 diabetes loci into physiologically interpretable genetic clusters associated with distinct tissues and clinical outcomes. The pipeline allows for efficient updating as additional GWAS become available and can be readily applied to other conditions, facilitating clinical translation of GWAS findings. Software to perform this clustering pipeline is freely available.

Long-Term Effect of PNPLA3 on the Aggravation of Nonalcoholic Fatty Liver Disease in a Biopsy-Proven Cohort.

The PNPLA3 rs738409 G allele increases the risk of not only nonalcoholic fatty liver disease (NAFLD) but also nonalcoholic steatohepatitis (NASH) or fibrosis.1 It also affects the prognosis of patients with NAFLD in specific conditions. After liver transplantation, patients with NAFLD carrying the rs738409 GG genotype have a higher risk of graft steatosis2 or development of hepatocellular carcinoma.3 In addition, rs738409 modifies the effects of medical intervention: patients with NAFLD carrying the GG genotype showed a lower effect of omega-3 polyunsaturated fatty acid treatment on the reduction of liver fat;4 in contrast, they were more sensitive to the beneficial effects of lifestyle modifications.5,6.

Risk of newly developed atrial fibrillation by alcohol consumption differs according to genetic predisposition to alcohol metabolism: a large-scale cohort study with UK Biobank.

BACKGROUND: The predictive relationship between mild-to-moderate alcohol consumption and the risk of incident atrial fibrillation (AF) remains controversial. OBJECTIVE: We investigated whether the relationship between alcohol consumption and the risk of incident AF could be associated with the genetic predisposition to alcohol metabolism. METHODS: A total of 399,329 subjects with genetic data from the UK Biobank database, enrolled between 2006 and 2010, were identified and followed for incident AF until 2021. Genetic predisposition to alcohol metabolism was stratified according to the polygenic risk score (PRS) tertiles. Alcohol consumption was categorized as non-drinkers, mild-to-moderate drinkers (< 30 g/day), and heavy drinkers (≥ 30 g/day). RESULTS: During the follow-up (median 12.2 years), 19,237 cases of AF occurred. When stratified by PRS tertiles, there was a significant relationship between genetic predisposition to alcohol metabolism and actual alcohol consumption habits (P < 0.001). Mild-to-moderate drinkers showed a decreased risk of AF (HR 0.96, 95% CI 0.92-0.99), and heavy drinkers showed an increased risk of AF (HR 1.06, 95% CI 1.02-1.10) compared to non-drinkers. When stratified according to PRS tertiles for genetic predisposition to alcohol metabolism, mild-to-moderate drinkers had equivalent AF risks, and heavy drinkers showed increased AF risk in the low PRS tertile group. However, mild-to-moderate drinkers had decreased AF risks and heavy drinkers showed similar risks of AF in the middle/high PRS tertile groups. CONCLUSIONS: Differential associations between alcohol consumption habits and incident AF across genetic predisposition to alcohol metabolism were observed; individuals with genetic predisposition to low alcohol metabolism were more susceptible to AF.

Efficacy and safety of enavogliflozin, a novel SGLT2 inhibitor, in Korean people with type 2 diabetes: A 24-week, multicentre, randomized, double-blind, placebo-controlled, phase III trial.

AIMS: To evaluate the efficacy and safety of a novel sodium-glucose cotransporter 2 inhibitor, enavogliflozin 0.3 mg monotherapy, in Korean people with type 2 diabetes mellitus (T2DM) inadequately controlled with diet and exercise. MATERIALS AND METHODS: This study was a randomized, double-blind, placebo-controlled trial conducted in 23 hospitals. Individuals with haemoglobin A1c (HbA1c) of 7.0%-10.0% after at least 8 weeks of diet and exercise modification were randomized to receive enavogliflozin 0.3 mg (n = 83) or placebo (n = 84) for 24 weeks. The primary outcome was a change in HbA1c at week 24 from baseline. Secondary outcomes included the proportion of participants achieving HbA1c <7.0%, change in fasting glucose, body weight and lipid levels. Adverse events were investigated throughout the study. RESULTS: At week 24, the placebo-adjusted mean change in HbA1c from baseline in the enavogliflozin group was -0.99% (95% confidence interval -1.24%, -0.74%). The proportions of patients achieving HbA1c <7.0% (71% vs. 24%) at week 24 was significantly higher in the enavogliflozin group (p < .0001). Placebo-adjusted mean changes in fasting plasma glucose (-40.1 mg/dl) and body weight (-2.5 kg) at week 24 were statistically significant (p < .0001). In addition, a significant decrease in blood pressure, low-density lipoprotein cholesterol, triglyceride, and homeostasis model assessment of insulin resistance were observed, along with a significant increase in high-density lipoprotein cholesterol. No significant increase in treatment-related adverse events was observed for enavogliflozin. CONCLUSIONS: Monotherapy with enavogliflozin 0.3 mg improved glycaemic control in people with T2DM. Enavogliflozin therapy also exerted beneficial effects on body weight, blood pressure and lipid profile.

Metabolic Dysfunction-Associated Fatty Liver Disease and Subsequent Development of Adverse Pregnancy Outcomes.

BACKGROUND & AIMS: Recently, metabolic dysfunction-associated fatty liver disease (MAFLD), rather than nonalcoholic fatty liver disease (NAFLD), was proposed to better describe liver disease associated with metabolic dysfunction (MD). In this study, we attempted to investigate the impact of MAFLD on pregnancy complications. METHODS: The current study is a secondary analysis of a multicenter prospective cohort designed to examine the risk of NAFLD during pregnancy. In the first trimester, enrolled pregnant women were evaluated for hepatic steatosis by liver ultrasonography, and blood samples were collected for biochemical measurements. The study population was divided into 3 groups: no NAFLD, hepatic steatosis but without metabolic dysfunction (non-MD NAFLD), and MAFLD. The primary outcome was the subsequent development of adverse pregnancy outcomes, including gestational diabetes mellitus, pregnancy-associated hypertension, preterm birth, and fetal growth abnormalities. RESULTS: The study population consisted of 1744 pregnant women, including 1523 with no NAFLD, 43 with non-MD NAFLD, and 178 with MAFLD. The risk of subsequent development of adverse pregnancy outcomes was higher in MAFLD than in non-MD NAFLD (adjusted odds ratio, 4.03; 95% CI, 1.68-9.67), whereas the risk was not significantly different between no NAFLD and non-MD NAFLD. Among women with no NAFLD, the presence of MD increased the risk of adverse pregnancy outcomes. However, women with MAFLD were at higher risk for adverse pregnancy outcomes than women with no NAFLD without MD or those with no NAFLD with MD. CONCLUSIONS: In pregnant women, MAFLD may be associated with an increased risk of subsequent adverse pregnancy outcomes.

Long-term cardiovascular outcomes of gestational diabetes mellitus: a prospective UK Biobank study.

BACKGROUND: Previous studies showed that gestational diabetes mellitus (GDM) can be a risk factor for subsequent atherosclerotic cardiovascular disease. However, there is a paucity of information regarding diverse cardiovascular outcomes in elderly women after GDM. In the current study, we examined whether women with a history of GDM have an increased risk for long-term overall cardiovascular outcomes. METHODS: Among the UK participants, we included 219,330 women aged 40 to 69 years who reported at least one live birth. The new incidence of diverse cardiovascular outcomes was compared according to GDM history by multivariable Cox proportional hazard models. In addition, causal mediation analysis was performed to examine the contribution of well-known risk factors to observed risk. RESULTS: After enrollment, 13,094 women (6.0%) developed new overall cardiovascular outcomes. Women with GDM history had an increased risk for overall cardiovascular outcomes [adjusted HR (aHR) 1.36 (95% CI 1.18-1.55)], including coronary artery disease [aHR 1.31 (1.08-1.59)], myocardial infarction [aHR 1.65 (1.27-2.15)], ischemic stroke [aHR 1.68 (1.18-2.39)], peripheral artery disease [aHR 1.69 (1.14-2.51)], heart failure [aHR 1.41 (1.06-1.87)], mitral regurgitation [aHR 2.25 (1.51-3.34)], and atrial fibrillation/flutter [aHR 1.47 (1.18-1.84)], after adjustment for age, race, BMI, smoking, early menopause, hysterectomy, prevalent disease, and medication. In mediation analysis, overt diabetes explained 23%, hypertension explained 11%, and dyslipidemia explained 10% of the association between GDM and overall cardiovascular outcome. CONCLUSIONS: GDM was associated with more diverse cardiovascular outcomes than previously considered, and conventional risk factors such as diabetes, hypertension, and dyslipidemia partially contributed to this relationship.

Cyclase-associated protein 1 is a binding partner of proprotein convertase subtilisin/kexin type-9 and is required for the degradation of low-density lipoprotein receptors by proprotein convertase subtilisin/kexin type-9.

AIMS: Proprotein convertase subtilisin/kexin type-9 (PCSK9), a molecular determinant of low-density lipoprotein (LDL) receptor (LDLR) fate, has emerged as a promising therapeutic target for atherosclerotic cardiovascular diseases. However, the precise mechanism by which PCSK9 regulates the internalization and lysosomal degradation of LDLR is unknown. Recently, we identified adenylyl cyclase-associated protein 1 (CAP1) as a receptor for human resistin whose globular C-terminus is structurally similar to the C-terminal cysteine-rich domain (CRD) of PCSK9. Herein, we investigated the role of CAP1 in PCSK9-mediated lysosomal degradation of LDLR and plasma LDL cholesterol (LDL-C) levels. METHODS AND RESULTS: The direct binding between PCSK9 and CAP1 was confirmed by immunoprecipitation assay, far-western blot, biomolecular fluorescence complementation, and surface plasmon resonance assay. Fine mapping revealed that the CRD of PCSK9 binds with the Src homology 3 binding domain (SH3BD) of CAP1. Two loss-of-function polymorphisms found in human PCSK9 (S668R and G670E in CRD) were attributed to a defective interaction with CAP1. siRNA against CAP1 reduced the PCSK9-mediated degradation of LDLR in vitro. We generated CAP1 knock-out mice and found that the viable heterozygous CAP1 knock-out mice had higher protein levels of LDLR and lower LDL-C levels in the liver and plasma, respectively, than the control mice. Mechanistic analysis revealed that PCSK9-induced endocytosis and lysosomal degradation of LDLR were mediated by caveolin but not by clathrin, and they were dependent on binding between CAP1 and caveolin-1. CONCLUSION: We identified CAP1 as a new binding partner of PCSK9 and a key mediator of caveolae-dependent endocytosis and lysosomal degradation of LDLR.

Heritability estimation of dichotomous phenotypes using a liability threshold model on ascertained family-based samples.

Numerous methods for estimating heritability have been proposed; however, unlike quantitative phenotypes, heritability estimation for dichotomous phenotypes is computationally and statistically complex, and the use of heritability is infrequent. In this study, we developed a statistical method to estimate heritability of dichotomous phenotypes using a liability threshold model in the context of ascertained family-based samples. This model assumes that dichotomous phenotypes are determined by unobserved latent variables that are normally distributed and can be applied to general pedigree data. The proposed methods were applied to simulated data and Korean type-2 diabetes family-based samples, and the accuracy of the estimates provided by the experimental methods was compared with that of the established methods.

Genetic Studies of Gestational Diabetes and Glucose Metabolism in Pregnancy.

PURPOSE OF REVIEW: In this review, we summarize studies investigating genetics of gestational diabetes mellitus (GDM) and glucose metabolism in pregnancy. We describe these studies in the context of the larger body of literature on type 2 diabetes (T2D) and glycemic trait genomics. RECENT FINDINGS: We reviewed 23 genetic association studies for GDM and performed a meta-analysis, which revealed variants at eight T2D loci significantly associated with GDM after the Bonferroni correction. These studies suggest that GDM and T2D share a number of genetic risk loci. Only two unbiased genome-wide association studies (GWASs) have successfully revealed genetic associations for GDM and related glycemic traits in pregnancy. A GWAS for GDM in Korean women identified two loci (near CDKAL1 and MTNR1B) known to be associated with T2D, though the association of the MTNR1B locus with GDM appears to be stronger than that for T2D. A multi-ethnic GWAS for glycemic traits in pregnancy identified two novel loci (near HKDC1 and BACE2) which appear to be associated with post-load glucose and fasting c-peptide specifically in pregnant women. There are ongoing efforts to use this genetic information, in the form of polygenic scores, to predict risk of GDM and postpartum T2D. The body of literature examining genetic associations with GDM is limited, especially when compared to the available literature on T2D and glycemic trait genomics. Additional genetic discovery for glucose metabolism in pregnant women will require larger pregnancy cohorts and international collaborative efforts. Studies on the clinical implications of these findings are also warranted.

Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open-label, active-controlled, 12-week study (STABLE II study).

AIMS: The aim of this study was to compare the effect of gemigliptin, a dipeptidyl peptidase-4 inhibitor, and dapagliflozin, a sodium glucose co-transporter-2 inhibitor, on glycaemic variability in type 2 diabetes patients. MATERIALS AND METHODS: In this randomized, blinded end point, multicentre clinical trial, we enrolled 71 patients with type 2 diabetes who were inadequately controlled with metformin alone or were drug naïve. The participants were randomized to receive gemigliptin 50 mg (n = 35) or dapagliflozin 10 mg (n = 36) daily for 12 weeks. Glycaemic variability was estimated by mean amplitude of glycaemic excursions (MAGE), standard deviation (SD) and coefficient of variation (CV) using a 6-day continuous glucose monitoring system. The primary efficacy endpoint was change in MAGE after 12 weeks compared to baseline. RESULTS: Intergroup differences in baseline characteristics were not significant. The adjusted mean change (± standard error) in MAGE after 12 weeks in the gemigliptin and dapagliflozin groups was -27.2 ± 4.4 mg/dL and -7.9 ± 4.9 mg/dL, respectively. Between-group comparisons showed a significantly larger reduction in MAGE in the gemigliptin group (-19.2 mg/dL; 95% CI, -31.3 to -7.2; P = .002). Measures of SD and CV also showed a significantly larger reduction in the gemigliptin group. Average glycaemic control, estimated by HbA1c, fasting glucose and safety profiles, was comparable between the two groups. CONCLUSIONS: Compared to dapagliflozin, gemigliptin significantly improved glycaemic variability, with similar glucose-lowering efficacy and safety profiles in patients with type 2 diabetes who were inadequately controlled with metformin alone or were drug naïve.

Non-alcoholic fatty liver disease in the first trimester and subsequent development of gestational diabetes mellitus.

AIMS/HYPOTHESIS: Although there is substantial evidence that non-alcoholic fatty liver disease (NAFLD) is associated with impaired glucose homeostasis, the clinical significance of NAFLD in pregnant women has not been well determined. This study investigates the relationship between NAFLD in the first trimester and the subsequent development of gestational diabetes mellitus (GDM). METHODS: A multicentre, prospective cohort study was conducted in which singleton pregnant Korean women were assessed for NAFLD at 10-14 weeks using liver ultrasound, fatty liver index (FLI) and hepatic steatosis index (HSI). Maternal plasma adiponectin and selenoprotein P concentrations were measured. Participants were screened for GDM using the two-step approach at 24-28 weeks. RESULTS: Six hundred and eight women were included in the final analysis. The prevalence of NAFLD was 18.4% (112/608) and 5.9% (36/608) developed GDM. Participants who developed GDM had a higher prevalence of radiological steatosis (55.6% vs 16.1%; p < 0.001) and higher FLI (40.0 vs 10.7; p < 0.001) and HSI (35.5 vs 29.0; p < 0.001). The risk of developing GDM was significantly increased in participants with NAFLD and was positively correlated with the severity of steatosis. This relationship between NAFLD and GDM remained significant after adjustment for metabolic risk factors, including measures of insulin resistance. Maternal plasma adiponectin and selenoprotein P levels were also correlated with both NAFLD severity and the risk of developing GDM. CONCLUSIONS/INTERPRETATION: NAFLD in early pregnancy is an independent risk factor for GDM. Adiponectin may be a useful biomarker for predicting GDM in pregnant women.

Sodium-glucose cotransporter-2 inhibition improves incretin sensitivity of pancreatic ß-cells in people with type 2 diabetes.

AIM: To test the hypothesis that dapagliflozin, a sodium-glucose cotransporter-2 inhibitor, improves ß-cell responses to incretin hormones (or ß-cell incretin sensitivity) by alleviating glucose toxicity in people with type 2 diabetes mellitus (T2DM). METHODS: A total of 19 people with T2DM underwent a 3-hour hyperglycaemic clamp study with incretin infusion before and after 8-week treatment with dapagliflozin added to the background treatment. In addition, 10 people with normal glucose tolerance (NGT) underwent a single hyperglycaemic clamp study. The hyperglycaemic clamp was targeted at 15.5 mmol/L for 3 hours, with synthetic glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) infusion over a 60- to 180-minute and a 120- to 180-minute period, respectively. RESULTS: Compared with baseline, the C-peptide response to GLP-1 (incremental area under the curve [iAUC] of C-peptide60-120 minutes ) significantly increased (83.6 ± 42.1 to 106.6 ± 45.7 nmol/L × min; P = .011), and the C-peptide response to GIP/GLP-1 (iAUC of C-peptide120-180 minutes ) tended to increase after dapagliflozin treatment (82.5 ± 58.4 to 101.9 ± 50.3 nmol/L × min; P = .087), whereas both the insulin responses to GLP-1 and GIP/GLP-1 increased significantly. First-phase C-peptide response, which reflects ß-cell function, significantly increased after dapagliflozin treatment; however, all these improved values in the participants with T2DM were far lower than those in the participants with NGT. In addition, the improvement in insulin responses to hyperglycaemia was correlated with the improvement in insulin responses to incretin infusion. CONCLUSIONS: Dapagliflozin improved ß-cell responses to incretin hormones as well as glucose during the hyperglycaemic clamp in patients with inadequately controlled T2DM.

Fimasartan increases glucose-stimulated insulin secretion in patients with type 2 diabetes and hypertension compared with amlodipine.

AIM: To study the effects of angiotensin receptor blockers (ARBs) on insulin secretion in hypertensive patients with type 2 diabetes. MATERIALS AND METHODS: A total of 41 patients were enrolled in this open-label, active comparator-controlled, crossover study. After a 2-week run-in period with amlodipine, the participants were assigned to receive either fimasartan (60-120 mg daily) or amlodipine (5-10 mg daily) for 16 weeks. Thereafter, they were treated with the other drug for another 16 weeks. Physical examinations and laboratory tests were performed before and after each treatment. RESULTS: Blood pressure, glycated haemoglobin and oral glucose tolerance test (OGTT) values were similar with each treatment. Fimasartan treatment significantly increased median (range) homeostatic assessment of ß-cell function values (49.9 [22.5-174.4] vs 46.9 [15.6-148.0]), area under the curve of insulin during OGTT (27 284 [9501-94 525] vs 26 818 [8112-76 704] pmol/L × min), insulinogenic index at 60 minutes (19.7 [3.0-131.2] vs 15.0 [2.4-103.8] pmol/mmol) and at 120 minutes (19.1 [1.9-85.5] vs 12.6 [-4.3-178.8] pmol/mmol) compared with those with amlodipine (all P < .05); however, acute insulin response and insulin resistance indices were similar for both agents. CONCLUSIONS: Compared with amlodipine, fimasartan increased late-phase glucose-stimulated insulin secretion in patients with type 2 diabetes and hypertension. This finding suggests that ARBs would be more beneficial in such patients compared with other classes of anti-hypertensives.

Selecting cases and controls for DNA sequencing studies using family histories of disease.

Recent improvements in sequencing technology have enabled the investigation of so-called missing heritability, and a large number of affected subjects have been sequenced in order to detect significant associations between human diseases and rare variants. However, the cost of genome sequencing is still high, and a statistically powerful strategy for selecting informative subjects would be useful. Therefore, in this report, we propose a new statistical method for selecting cases and controls for sequencing studies based on family history. We assume that disease status is determined by unobserved liability scores. Our method consists of two steps: first, the conditional means of liability are estimated with the liability threshold model given the individual's disease status and those of their relatives. Second, the informative subjects are selected with the estimated conditional means. Our simulation studies showed that statistical power is substantially affected by the subject selection strategy chosen, and power is maximized when affected (unaffected) subjects with high (low) risks are selected as cases (controls). The proposed method was successfully applied to genome-wide association studies for type 2 diabetes, and our analysis results reveal the practical value of the proposed methods. Copyright © 2017 John Wiley & Sons, Ltd.