Epidemic obesity and type 2 diabetes in Asia

DPP-IV and FAS inhibitory peptides: therapeutic alternative against diabesity

Diabesity is a modern epidemic that indicates a strong association between obesity and diabetes. Key enzymes have been identified in the development and progression of both diseases, DPP-IV in glucose uptake and FAS in fatty acid synthesis. In both cases, the molecular mechanisms of how each one acts separately have been described, and which are the key inhibitory drugs and molecules for each one. However, although it is known that there is an association between both clinically and molecularly, the mechanism has not been elucidated; therefore, this review focuses on proposing a mechanism of convergence of DPP-IV and FAS in diabesity, and the possible mode of action in which bioactive peptides obtained from plant and animal sources can inhibit these two enzymes in a similar way as drugs do.

Continuous Exposure of Nonobese Adult Male Rats to a Soft-Textured, Readily Absorbable Diet Induces Insulin Resistance and Derangements in Hepatic Glucose and Lipid Metabolism

BACKGROUND

Type 2 diabetes (T2D) is characterized by insulin resistance and defective insulin secretion. Previously, we found that rats fed soft pellets (SPs) on a 3-h restricted schedule over 14 wk demonstrated glucose intolerance and insulin resistance with disruption of insulin signaling.

OBJECTIVES

This study aims to determine 1) the time required for an SP diet to induce insulin resistance, and 2) whether the metabolic derangements in rats fed SPs can be reversed by changing to a standard control diet.

METHODS

We performed glucose tolerance tests and calculated the homeostasis model assessment of insulin resistance (HOMA-IR) to evaluate the insulinemic response to glucose and assess insulin resistance in nonobese male rats fed control pellets (CPs) or SPs on a 3-h restricted schedule (10:00-13:00) for 4 and 9 wk. At 11 wk, we switched half of the insulin-resistant SP group to CPs [soft-to-control pellets (SCPs)] and after an additional 11 wk evaluated changes in glucose and lipid metabolism across the 3 groups.

RESULTS

The glucose tolerance test results in the SP and CP rats did not differ at 4 or 9 wk. The insulin levels in the SP group were higher than in the CP group at both time points (P < 0.05). The HOMA-IR was significantly higher in the SP rats at 9 wk compared with the controls (P < 0.05). At 22 wk, the HOMA-IR, blood glucose levels at 30 min after initiating feeding, hepatic glucose metabolism, and lipid synthesis in rats fed SPs continuously were significantly greater than in those fed CPs (P < 0.05); however, these values in the SCP rats did not differ from those in the CP rats.

CONCLUSIONS

A continuous diet of soft-textured, readily absorbable food may be an important and reversible underlying driver in T2D pathogenesis.

A Literature Review of Glutathione Therapy in Ameliorating Hepatic Dysfunction in Non-Alcoholic Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) is a global cause of liver dysfunction. This spectrum of hepatic disorders can progress to severe conditions, such as non-alcoholic steatohepatitis (NASH) and cirrhosis, due to oxidative stress and sustained cellular injury. With limited pharmacological options, glutathione (GSH), a key antioxidant, has shown promising potential in reducing oxidative stress, maintaining redox balance, and improving liver function. This literature review examines studies from 2014-2024 exploring GSH therapy in NAFLD patients. Eligible studies assessed GSH as the primary intervention for NAFLD in human subjects, reporting outcomes such as liver function or oxidative stress markers. Randomized clinical trials (RCTs) were eligible, while combination therapy studies were included if GSH's effect could be isolated. Exclusions applied to non-NAFLD studies, animal/in vitro models, and non-GSH antioxidant interventions. Analysis of three studies (totaling 109 participants) demonstrated consistent improvements in alanine transaminase (ALT) levels and reductions in oxidative stress markers like 8-hydroxy-2-deoxyguanosine (8-OHdG). However, small sample sizes and inconsistent protocols limit generalizability. Further large-scale RCTs are required to confirm GSH's efficacy, determine optimal dosing, and assess long-term effects. This literature review highlights GSH's potential as a novel NAFLD therapeutic strategy while emphasizing the need for further studies to refine its clinical application.

The research progress and future directions in the pathophysiological mechanisms of type 2 diabetes mellitus from the perspective of precision medicine

Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder characterized by pathophysiological mechanisms such as insulin resistance and β-cell dysfunction. Recent advancements in T2DM research have unveiled intricate multi-level regulatory networks and contributing factors underlying this disease. The emergence of precision medicine has introduced new perspectives and methodologies for understanding T2DM pathophysiology. A recent study found that personalized treatment based on genetic, metabolic, and microbiome data can improve the management of T2DM by more than 30%. This perspective aims to summarize the progress in T2DM pathophysiological research from the past 5 years and to outline potential directions for future studies within the framework of precision medicine. T2DM develops through the interplay of factors such as gut microbiota, genetic and epigenetic modifications, metabolic processes, mitophagy, NK cell activity, and environmental influences. Future research should focus on understanding insulin resistance, β-cell dysfunction, interactions between gut microbiota and their metabolites, and the regulatory roles of miRNA and genes. By leveraging artificial intelligence and integrating data from genomics, epigenomics, metabolomics, and microbiomics, researchers can gain deeper insights into the pathophysiological mechanisms and heterogeneity of T2DM. Additionally, exploring the combined effects and interactions of these factors may pave the way for more effective prevention strategies and personalized treatments for T2DM.

Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification

This paper aims to investigate m6A modification during DKD progression. We evaluated m6A regulators expression in peripheral blood mononuclear cells, whole kidney tissue, glomerular, and tubulointerstitial samples. CIBERSORT and single-sample gene set enrichment analysis analyzed glomerular immune characteristics. Logistic-LASSO regression were used to develop the m6A regulators model that can identify early DKD. Consensus clustering algorithms were used to classify DKD in glomerular samples into m6A modified subtypes based on the expression of m6A regulators. Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. Weighted gene co-expression network analysis and protein-protein interaction networks identified m6A modified subtype marker genes. The Nephroseq V5 tool was used to evaluate the correlation between m6A modified subtypes marker genes and renal function. DKD patients' m6A regulators expression differed from the control group in various tissue types. DKD stages have various immune characteristics. The m6A regulators model with YTHDC1, METTL3, and ALKBH5 better identified early DKD. DKD was divided into two subtypes based on the expression of 26 m6A regulators. Subtype 1 was enriched in myogenesis, collagen components, and cytokine receptor interaction, while subtype 2 was enriched in protein secretion, proliferation, apoptosis, and various signaling pathways (e.g., TGFβ signaling pathway, PI3K/AKT/mTOR pathway, and etc.). Finally, AXIN1 and GOLGA4 were identified as possible biomarkers associated with glomerular filtration rate. From the viewpoint of m6A modification, the immune characteristics and molecular mechanisms of DKD at various stages are different, and targeted treatment would improve efficacy.

Serum magnesium and calcium were inversely associated with hemoglobin glycation index and triglyceride-glucose index in adults with coronary artery disease

Little is known about the associations of magnesium (Mg) and calcium (Ca) with hemoglobin glycation index (HGI) and triglyceride-glucose index (TyG) in adults. In this study, we examined the associations of serum Mg and Ca with HGI and TyG in adults with coronary artery disease (CAD). This hospital-based cross-sectional study included 10757 CAD patients with a mean age of 61.6 years. Serum concentrations of Mg and Ca were measured in clinical laboratory. Overall, serum Mg and Ca were inversely associated with HGI and TyG. In multivariable analyses, Mg and Ca were inversely associated with HGI (MgQ4 vs. Q3: -0.601 vs. -0.528; CaQ4 vs. Q1: -0.769 vs. -0.645). In terms of TyG, inverse associations of serum Mg and Ca with TyG were observed. The corresponding TyG values were 9.054 (vs. 9.099) for Mg and 9.068 (vs. 9.171) for Ca in the fourth quartile compared with the first quartile. Moreover, Mg, Ca or Mg/Ca ratio were also inversely associated with HbA1c and FBG. In path analysis, no mediating effects of obesity on "serum Mg (or Ca)- HGI (or TyG)" associations were observed. Generally, our study identified the inverse associations of the serum Mg and Ca levels with HGI and TyG in adults with CAD. Large sample longitudinal study, and particularly randomized controlled trials, are warranted to validate our findings and overcome the limitations of cross-sectional studies.

Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010-2020)

BACKGRUOUND

This study aimed to examine trends in the prevalence, incidence, metabolic characteristics, and management of type 2 diabetes mellitus (T2DM) among young adults in South Korea.

METHODS

Young adults with T2DM were defined as individuals aged 19 to 39 years who met the diagnostic criteria for T2DM. Data from the Korean National Health Insurance Service-Customized Database (2010-2020, n=225,497-372,726) were analyzed to evaluate trends in T2DM prevalence, incidence, metabolic profiles, comorbidities, and antidiabetic drug prescription. Additional analyses were performed using the Korea National Health and Nutrition Examination Survey.

RESULTS

The prevalence of T2DM in young adults significantly increased from 1.02% in 2010 to 2.02% in 2020 (P<0.001), corresponding to 372,726 patients in 2020. Over the same period, the incidence rate remained stable within the range of 0.36% to 0.45%. Prediabetes prevalence steadily increased from 15.53% to 20.92%, affecting 3.87 million individuals in 2020. The proportion of young adults with T2DM who were obese also increased, with 67.8% having a body mass index (BMI) ≥25 kg/m² and 31.6% having a BMI ≥30 kg/m² in 2020. The prevalence of hypertension, dyslipidemia, and fatty liver disease also increased, reaching 34.2%, 79.8%, and 78.9%, respectively, in 2020. Although the overall pharmacological treatment rate remained low, the prescription of antidiabetic medications with weight-reducing properties increased over the study period.

CONCLUSION

The prevalence of T2DM among young adults in South Korea nearly doubled over the past decade. The strong association with obesity and metabolic comorbidities emphasizes the urgent need for targeted prevention and management strategies tailored to this population.

Effects of different hypoglycaemic drugs on beta-cell function in type 2 diabetes mellitus: a systematic review and network meta-analysis

AIM

This study compared the effects of hypoglycaemic drugs on beta-cell function among type 2 diabetes mellitus (T2DM) patients through a network meta-analysis of randomized controlled trials (RCTs).

METHODS

We searched the PubMed, EMBASE, and Cochrane Library databases for RCTs of different hypoglycaemic drugs as T2DM treatment from database inception to December 1, 2024. The primary outcome was homeostasis model assessment-β (HOMA-β), and the secondary outcome was glycated haemoglobin (HbA1c). Direct and indirect evidence types were combined to calculate weighted mean difference (WMD) and 95% confidence interval (CI) values for the change in (△) HOMA-β and △HbA1c, and to determine surface under the cumulative ranking curve (SUCRA) values.

RESULTS

A total of 58 RCTs involving 16,345 T2DM patients were incorporated into this network meta-analysis. The mean patient age was 66.70 years, and 54.14% were male. For improving HOMA-β, the top treatments were glimepiride + rosiglitazone (WMD = 81.83, 95% CI 45.85-117.82) and glibenclamide + rosiglitazone (WMD = 79.51, 95% CI 40.66-118.36). Acarbose (WMD = 60.90, 95% CI 27.56-94.25) ranked third as monotherapy. For reducing HbA1c, glibenclamide + rosiglitazone was the most efficacious treatment (WMD = - 2.48, 95% CI - 3.67 to - 1.29), followed by metformin + exenatide (WMD = - 1.77, 95% CI - 2.25 to - 1.29) and liraglutide (WMD = - 1.77, 95% CI - 2.33 to - 1.21). The treatment with the highest SUCRA value for HOMA-β improvement was glimepiride + rosiglitazone (95.1%), followed by glibenclamide + rosiglitazone (94.9%). For HbA1c improvement, glibenclamide + rosiglitazone had the highest SUCRA value (97.6%).

CONCLUSIONS

The combination of glimepiride/glibenclamide and rosiglitazone was the most effective hypoglycaemic regimen for protecting beta-cell function and improving glycaemic control in T2DM treatment, possibly due to control of HbA1c and glycotoxicity.

Patterns of trajectories of glycated hemoglobin, fasting plasma glucose, and body mass index until the first clinic visit: the real-world history of type 2 diabetes using repeated health checkup data of Japanese workers

BACKGROUND

There is a lack of evidence regarding the trajectories of type 2 diabetes until the first clinic visit, including the untreated period after diagnosis.

OBJECTIVE

We aimed to determine the real-world history of type 2 diabetes until the first clinic visit, including the untreated duration, and to assess the effective timing of the therapeutic intervention.

METHODS

A total of 23,622 nondiabetic Japanese workers with a mean (SD) age of 38.8 (11.5) years were retrospectively followed from 2008 to 2022 for annual health checkups. The trajectories of glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and body mass index (BMI) until the first clinic visit in diabetes individuals were determined. ROC analysis was performed to assess the contribution of each measure to the first visit.

RESULTS

During a median follow-up of 12.0 years, 1,725 individuals developed type 2 diabetes, of whom 532 individuals visited clinics. HbA1c and FPG trajectories steeply rose in the year before the first clinic visit after their progressive upward trends. ROC analysis showed cutoff values for each measure. As the untreated duration increased, glycemia increased and BMI decreased among individuals who visited clinics.

CONCLUSIONS

To prevent the initial worsening of diabetes, early therapeutic intervention is necessary during the increasing trends before the steep rise in glycemia, regardless of the degree of obesity. HbA1c ≥6.5% (47.5 mmol/mol) and an HbA1c ≥0.2% (2.2 mmol/mol)/year increase may be an effective timing for therapeutic intervention.

Association of bodyweight loss with changes in lipids, blood pressure, and fasting serum glucose following tirzepatide treatment in Japanese participants with type 2 diabetes: A post hoc analysis of the SURPASS J-mono trial

AIMS/INTRODUCTION

In the SURPASS J-mono trial, tirzepatide demonstrated significant improvements in bodyweight and several metabolic parameters in Japanese participants with type 2 diabetes. This post hoc analysis evaluated the potential relationships between weight loss and metabolic improvements in SURPASS J-mono.

MATERIALS AND METHODS

Metabolic parameter data from tirzepatide-treated participants were analyzed by weight loss subgroups and compared to dulaglutide 0.75 mg. Correlations between changes from baseline to week 52 in weight loss and each metabolic parameter were assessed; Pearson correlation coefficients were derived. Mediation analyses were conducted to evaluate weight loss-associated and -unassociated effects of tirzepatide vs dulaglutide 0.75 mg.

RESULTS

This analysis included 548 participants (tirzepatide: n = 411, dulaglutide: n = 137). Weight loss subgroups showed greater improvement in metabolic parameters with greater bodyweight loss. Significant (P < 0.05) but weak correlations between changes in bodyweight and triglycerides (r = 0.18-0.25), high-density lipoprotein cholesterol (r = -0.37 to -0.29), and systolic blood pressure (r = 0.19-0.41) were observed across treatment groups; in diastolic blood pressure in the tirzepatide 5-mg (r = 0.28), pooled tirzepatide (r = 0.20), and dulaglutide 0.75-mg (r = 0.23) groups; and in fasting serum glucose in the dulaglutide 0.75-mg (r = 0.18) and pooled tirzepatide (r = 0.13) groups. Weight loss was associated with treatment differences between tirzepatide and dulaglutide 0.75 mg to varying degrees across metabolic parameters, with improvements in fasting serum glucose having the lowest association with weight loss (36.6%-43.5%).

CONCLUSIONS

In this post hoc analysis, non-glycemic and glycemic parameter improvements appeared differentially associated with weight loss, suggesting both weight loss-associated and -unassociated effects of tirzepatide.

Long-term trends in the prevalence of cardiovascular-kidney-metabolic syndrome in South Korea, 2011-2021: a representative longitudinal serial study

Background

The American Heart Association recently introduced a new framework, known as cardiovascular-kidney-metabolic (CKM) syndrome, aimed at the early prevention of cardiovascular disease. However, this syndrome has not been studied extensively outside of the United States. Thus, this study aimed to examine the long-term trends in CKM syndrome and its associated demographic features in South Korea.

Methods

This nationwide, cross-sectional study analyzed data from 61,106 Korean adults aged ≥20 years using the Korea National Health and Nutrition Examination Survey from 2011 to 2021. CKM syndrome was defined using the PREVENT equations, categorizing individuals into five stages (0-4). Age-standardized prevalence rates, annual percent changes (APC), and sociodemographic disparities were analyzed using multinomial logistic regression and Joinpoint regression.

Findings

Among the 61,106 participants (50.4% females [95% CI, 50.0-50.8%] and 49.6% males [95% CI, 49.2-50.0%]), stage 2 CKM syndrome was the most prevalent (43.4% [42.9-43.9]), followed by stages 1 (25.4% [25.0-25.8]), 0 (21.1% [20.7-21.6]), 3 (7.3% [7.0-7.5]), and 4 (2.8% [2.6-2.9]). From 2011 to 2021, advanced stages showed significant increases (APC for stage 4: 3.2%; 95% CI, 1.5-5.2), while stage 0 declined (APC: -1.9%; 95% CI, -3.8 to 0.0). Advanced stages were more common among vulnerable subgroups, including males, older adults, rural residents, smokers, drinkers, individuals with obesity, lower education levels, and lower household incomes.

Interpretation

This is the first study to investigate the long-term prevalence of CKM syndrome based on stages at the national level in an Asian population. Our findings emphasize the urgent need for tailored public health strategies targeting metabolic risk factors, particularly in vulnerable subgroups, to prevent progression to advanced CKM stages.

Funding

National Research Foundation of Korea.

Hepatokine leukocyte cell-derived chemotaxin 2 as a biomarker of insulin resistance, liver enzymes, and metabolic dysfunction-associated steatotic liver disease in the general population

AIMS/INTRODUCTION

Leukocyte cell-derived chemotaxin 2 (LECT2) is an obesity-associated hepatokine that causes skeletal muscle insulin resistance. Since LECT2 is up-regulated by the inactivation of the energy sensor AMPK in the liver, we hypothesized that LECT2 has potential as a biomarker for metabolic dysfunction-associated steatotic liver disease (MASLD). Therefore, we investigated whether circulating LECT2 levels are associated with insulin sensitivity, liver enzymes, and MASLD.

MATERIALS AND METHODS

This cross-sectional study included 138 Japanese individuals. Plasma LECT2 levels were measured using fasting blood samples. B-mode ultrasonography was used to assess hepatic steatosis.

RESULTS

The mean age and body mass index (BMI) of participants were 63.5 ± 10.2 years and 23.0 ± 3.1 kg/m2, respectively. Higher LECT2 levels positively correlated with homeostatic model assessment for insulin resistance (HOMA-IR) values and negatively correlated with the quantitative insulin sensitivity check index (QUICKI) among all participants (HOMA-IR; non-standardized β (B) = 6.38, P < 0.01: QUICKI; B = -161, P < 0.01). These correlations were stronger in the low BMI group (HOMA-IR; B = 13.85, P < 0.01: QUICKI; B = -180, P < 0.01). LECT2 levels also positively correlated with gamma-glutamyl transferase levels (B = 0.01, P = 0.01) and alanine aminotransferase levels (B = 0.33, P = 0.02). Higher LECT2 levels correlated with the prevalence of MASLD (odds ratio = 1.14, P = 0.02).

CONCLUSIONS

The present results suggest the potential of plasma LECT2 levels as a biomarker for insulin resistance in individuals who are not overweight and the prevalence of MASLD in the general population.

Association of Parity with Type 2 Diabetes Mellitus in Japan

This study investigates the association between parity and type 2 diabetes mellitus (T2DM) in Japanese women, considering the clinical history of gestational diabetes mellitus (GDM) and menopausal status, which are known risk factors for T2DM. Overall, 30,116 Japanese women (6,588 premenopausal and 23,528 postmenopausal) were included in this cross-sectional study. They were divided into two groups according to menopausal status (premenopausal and postmenopausal women), and the association between parity and T2DM was evaluated using a multiple logistic regression model with possible confounders, including a clinical history of GDM. The association between parity and T2DM was not statistically significant in premenopausal women. In contrast, a linear graded association between parity and T2DM was found in postmenopausal women. Furthermore, the association between parity and T2DM in postmenopausal women was attenuated after adjusting for body weight gain after the age of 20 years. A clinical history of GDM was significantly associated with a high risk for T2DM, regardless of adjustment for body weight gain after the age of 20 years in both premenopausal and postmenopausal women. Parity is associated with an increased risk of T2DM in postmenopausal women but not in premenopausal women. Maintaining appropriate body weight would be beneficial in attenuating the risk of T2DM in postmenopausal women. A clinical history of GDM is a risk factor for T2DM in both pre- and postmenopausal women; therefore, women with a clinical history of GDM require continuous medical care to survey for T2DM.

Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia

In East Asians, type 2 diabetes mellitus (T2DM) is primarily characterized by significant defects in insulin secretion and comparatively low insulin resistance. Recently, the prevalence of T2DM has rapidly increased in East Asian countries, including Korea, occurring concurrently with rising obesity rates. This trend has led to an increase in the average body mass index among East Asian T2DM patients, highlighting the influence of insulin resistance in the development of T2DM within this group. Currently, the incidence of T2DM in Korea is declining, which may indicate potential adaptive changes in insulin secretory capacity. This review focuses on the changing epidemiology of T2DM in East Asia, with a particular emphasis on the characteristics of peak functional β-cell mass.

Clinical research progress on β-cell dysfunction in T2DM development in the Chinese population

The prevalence of type-2 diabetes mellitus (T2DM) has increased over 10-fold in the past 40 years in China, which now has the largest T2DM population in the world. Insulin resistance and β-cell dysfunction are the typical features of T2DM. Although both factors play a role, decreased β-cell function and β-cell mass are the predominant factors for progression to T2DM. Considering the differences between Chinese T2DM patients and those of other ethnicities, it is important to characterize β-cell dysfunction in Chinese patients during T2DM progression. Herein, we reviewed the studies on the relationships between β-cell function and T2DM progression in the Chinese population and discussed the differences among individuals of varying ethnicities. Meanwhile, we summarized the risk factors and current treatments of T2DM in Chinese individuals and discussed their impacts on β-cell function with the hope of identifying a better T2DM therapy.

Identification of Metabolic Patterns in Korean Patients With Type 2 Diabetes and Their Association With Diabetes-Related Complications

ARTICLE HIGHLIGHTS

Identifying patterns of metabolic heterogeneity in type 2 diabetes (T2D) can help in the development of optimal treatment strategies. We aimed to identify metabolic patterns in patients with T2D in the Republic of Korea and analyze the risk of developing diabetes-related complications according to patterns. We identified three distinct metabolic patterns and observed that each pattern was associated with a heightened risk of developing various cardiovascular diseases. These findings highlight the necessity of devising treatment strategies based on these patterns to prevent diabetes-related complications.

Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals

BACKGROUND AND AIM

Visceral fat (VF) was proved to be a more precise predictor of atherosclerotic cardiovascular disease (ASCVD) risk in individuals with type 2 diabetes mellitus (T2DM) than body mass index (BMI) itself. Even when the BMI was normal, visceral fat area (VFA) ≥ 90 cm² could raise the ten-year risk of developing ASCVD. Therefore, it was worth evaluating the association of influencing factors with high VF in non-obese T2DM individuals.

METHODS

This study enrolled 1,409 T2DM participants with T2DM, of whom 538 had a normal BMI. Based on VFA, these subjects were divided into two groups: VF (+) (VFA ≥ 90cm2) (n = 110) and VF (-) (VFA < 90cm2) (n = 428). The measurement of VFA was conducted using an Omron VF measuring device. Anthropometric and metabolic parameters were detected. Novel insulin resistance indices, such as lipid accumulation product (LAP) was calculated. Factors associated with VF were screened using univariate analysis, multifactorial binary logistic regression models and chi-squared automatic interaction detector decision tree model.

RESULTS

The VF (+) OB (-) (BMI ≤ 23.9 kg/m2) prevalence were 7.8% in T2DM subjects (n = 1,409) and 20.4% in T2DM subjects with normal BMI (n = 538), respectively. In T2DM subjects with normal BMI, the logistic regression model suggested that neck circumference (NC) had an odds ratio (OR) of 1.891 (95% CI: 1.165-3.069, P = 0.010). The OR for VF gradually increased from the 1st to the 4th in LAP quartile (P < 0.05). LAP emerged as the root node, followed by NC in the decision tree model. Receiver operating characteristic curve (ROC) analysis demonstrated that the area under the curve (AUC) for NC in predicting high VF levels was 0.640 for males and 0.682 for females. Optimal NC cut-off points were 37.75 cm for males and 34.75 cm for females, respectively. Additionally, the AUC values of LAP in predicting high VF levels were 0.745 for males and 0.772 for females, with optimal LAP cut-off points of 22.64 and 26.45 for males and females, respectively.

CONCLUSION

This study identified NC and LAP can be considered predictors of high VF in T2DM subjects with normal BMI.

Achieving prediabetes reversal in China: a nationwide longitudinal study on the role of blood glucose and lipid management in middle-aged and elderly adults

Background

Prediabetes, impacting a third of the adult Chinese population, is linked to a variety of detrimental health outcomes. However, scant research has delved into the factors that affect a regression from prediabetes to normal glucose regulation (NGR) in middle-aged and elderly Chinese adults.

Methods

We conducted a longitudinal analysis of 2,655 adults, aged 45 years and above, drawing data from wave 1 and wave 3 of the China Health and Retirement Longitudinal Study (CHARLS). We employed a stepwise logistic regression model to identify factors associated with the regression to NGR. Restricted Cubic Spline (RCS) analysis was used to evaluate the dose-response relationships between baseline fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) levels and the likelihood of regression to NGR. Attribution fraction (AF) analysis was conducted to measure the impact of modifiable factors on the regression of prediabetes. We further examined how changes in these factors were associated with regression to NGR.

Results

During the 4-year follow-up, 570 of 2,655 prediabetes participants regressed to NGR. The stepwise logistic regression model identified older age, female sex, abdominal obesity (OR 0.70, 95% CI 0.57-0.86), elevated LDL-C (OR 0.69, 95% CI 0.48-0.97), higher FPG (OR 0.68, 95% CI 0.52-0.90), and higher HbA1c (OR 0.23, 95% CI 0.18-0.30) as factors associated with regression to NGR. AF analysis showed that a lower initial HbA1c was the most influential factor for regression to NGR. Additionally, evaluated blood lipid profiles reduced the odds of regression to NGR.

Conclusion

This study underscores the influence of age, gender, abdominal obesity, LDL-C levels, FPG, HbA1c, and blood lipid profiles on the likelihood of regressing from prediabetes to NGR. It suggests that adopting a healthy lifestyle and preemptively mitigating these risks may be more beneficial than addressing them after they have been identified in clinical settings.

Continental differences in the association between excess body weight and prognosis in triple-negative breast cancer: a meta-analysis

PURPOSE

The association between obesity and triple-negative breast cancer (TNBC) prognosis has been equivocal, with considerable heterogeneity between and within studies. Recent meta-analyses report adverse associations with overall survival (OS) and disease-free survival (DFS) in TNBC. We update this evidence and examine study- and disease-specific sources of heterogeneity.

METHODS

A systematic search of four databases was conducted until February 22, 2023. Random-effects meta-analyses were used to pool hazard ratios (HR) for OS, DFS, and breast cancer-specific mortality (BCSM). Subgroup analyses examined sources of study heterogeneity.

RESULTS

In meta-analyses of included studies (n = 33), significant associations were observed between excess body weight and worse OS (n = 24; HR = 1.20; 95%CI 1.20-1.34), DFS (n = 26; HR = 1.15; 1.05-1.27), and BCSM (n = 9; HR = 1.13; 1.00-1.27). In subgroup meta-analyses, significant inter-study survival differences were observed for study location (OS, DFS), time period of diagnoses (DFS), menopausal status (OS), and body mass index cut points examined (OS). Asian and European studies reported significant associations with OS (HR = 1.31; 1.11-1.54 and HR = 1.38; 1.00-1.89, respectively) and DFS (HR = 1.28; 1.07-1.54 and HR = 1.44; 1.13-1.84, respectively); however, no association was observed between obesity and TNBC prognosis in North American studies (OS: HR = 1.03; 0.89-1.19; DFS: HR = 1.05; 0.95-1.15). Location subgroup differences remained robust after excluding poor-quality studies. Post hoc analysis in the subset of studies reporting predominantly (≥ 70%) White sample showed no statistically significant associations for OS (HR = 1.13; 95%CI 0.96, 1.34), DFS (HR = 1.03; 95%CI 0.86, 1.23), or BCSM (HR = 1.08; 95%CI 0.91, 1.27).

CONCLUSION

This study further confirms that obesity is associated with poor prognosis in TNBC and identified subgroups at higher risk. Ethnic differences in the association between excess body weight and TNBC are reported. Further exploration of study and patient characteristics is needed to properly understand the populations most at risk.

Unraveling the pathophysiology of type 2 diabetes with a new selectively bred animal model, the Oikawa-Nagao mouse

Type 2 diabetes (T2D) is a polygenic disease, and the development of animal models by selective breeding is crucial for understanding its etiology, pathophysiology, complications, and treatments. We recently developed a new T2D model, the Oikawa-Nagao (ON) mouse, by selectively breeding mice with inferior glucose tolerance [diabetes-prone (ON mouse DP®; ON-DP) strain] and superior glucose tolerance [diabetes-resistant (ON mouse DR®; ON-DR) strain] on a high-fat diet. ON-DP mice are predisposed to develop diabetes and obesity after being fed a high-fat diet, compared to ON-DR mice. These phenotypes provide valuable insights into the genetic and environmental interactions for the etiology of T2D. Our studies revealed that the emergence of these phenotypes is associated with novel pathophysiological mechanisms, such as low insulin secretion capacity associated with high CD36 expression in pancreatic β-cells and hypoleptinemia preceding obesity due to low leptin secretion capacity in adipocytes. In addition, ON-DP mice fed an atherogenic diet exhibit accelerated atherosclerosis, likely related to blood glucose fluctuations. These findings provide new perspectives on the pathogenesis of T2D and suggest potential prevention and treatment strategies. This review will present the development strategy of the ON mouse strain, representative metabolic phenotypes, and discuss the mechanisms driving these traits, and explore their relevance to human T2D and obesity.

Early adulthood BMI and cardiovascular disease: a prospective cohort study from the China Kadoorie Biobank

BACKGROUND

The associations of early adulthood BMI with cardiovascular diseases have yet to be completely delineated. There is little reliable evidence about these associations among east Asian populations, that differ in fat distribution, disease patterns, and lifestyle factors from other populations. We aimed to study the associations between early adulthood BMI and cardiovascular diseases in a Chinese population, and the effect of midlife lifestyle factors on outcomes.

METHODS

In this prospective analysis, we used data from the China Kadoorie Biobank, a large and long-term cohort from five urban areas and five rural areas, using participants aged 35-70 years. The primary outcome was the incidence of cardiovascular diseases as a group, ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke, which were obtained mainly through linkage to disease registries and the national database for health insurance claims. Early adulthood BMI was assessed through self-report at baseline survey. We used Cox proportional hazards regression models to examine the prospective associations. We also undertook multiplicative and additive interaction analyses to investigate the potential modification effect of midlife healthy lifestyle factors (a combined score covering smoking, drinking, physical activity, and diet).

FINDINGS

Participants were recruited for baseline survey between June, 2004, and July, 2008. During a median follow-up of 12·0 years (IQR 11·3-13·1), we documented 57 203 (15·9%) of incident cardiovascular diseases in 360 855 participants. After adjustment for potential confounders, monotonic dose-response associations were observed between higher early adulthood BMI and increased risks of incident cardiovascular diseases. Compared with an early adulthood BMI of 20·5-22·4 kg/m2 (the reference group), the hazard ratios for a BMI of less than 18·5 kg/m2 was 0·97 (95% CI 0·94-1·00), 18·5-20·4 kg/m2 was 0·97 (0·95-0·99), 22·5-23·9 kg/m2 was 1·04 (1·02-1·07), 24·0-25·9 kg/m2 was 1·12 (1·09-1·15), 26·0-27·9 kg/m2 was 1·19 (1·14-1·24), 28·0-29·9 kg/m2 was 1·34 (1·25-1·44), and ≥30·0 kg/m2 was 1·58 (1·42-1·75). Except for haemorrhagic stroke, lower early adulthood BMI (<20·5 kg/m2) was associated with decreased incident cardiovascular disease risks. No significant interaction was found between midlife healthy lifestyle factors and early adulthood BMI on cardiovascular disease risks.

INTERPRETATION

Increased risks of cardiovascular disease incidence were found among participants with high early adulthood adiposity, including ischaemic heart disease, haemorrhagic stroke, and ischaemic stroke. Our findings suggest early adulthood as an important time to focus on weight management and obesity prevention for cardiovascular health later in life.

FUNDING

National Natural Science Foundation of China, National Key Research and Development Program of China, Chinese Ministry of Science and Technology, Kadoorie Charitable Foundation, and the Wellcome Trust.

Diabetes in China part 1: epidemiology and risk factors

The prevalence of diabetes in China is rapidly increasing. China now has the largest number of people living with diabetes worldwide, accounting for approximately one-quarter of the global diabetes population. Since the late 1970s, China has experienced profound changes and rapid economic growth, leading to shifts in lifestyle. Changing dietary patterns, reduced physical activity, and stress have contributed to the growing prevalence of overweight and obesity, which are important determinants potentiating the link between insulin resistance and diabetes. Social and environmental factors, such as education, air pollution, and exposure to endocrine-disrupting chemicals, have also contributed to the growing diabetes epidemic in China. The country has one of the fastest ageing populations in the world, which forecasts continued increases in the prevalence of diabetes and its complications. This Review provides an overview of the ongoing diabetes epidemic and risk factors, providing evidence to support effective implementation of public health interventions to slow and prevent the diabetes epidemic in China.

Different associations of atherogenic index of plasma, triglyceride glucose index, and hemoglobin A1C levels with the risk of coronary artery calcification progression according to established diabetes

BACKGROUND

Both insulin resistance and hyperglycemia are important risk factors for atherosclerosis. While the characteristics of atherosclerosis are obviously different according to established diabetes, little has been known regarding the risk of coronary artery calcification (CAC) progression related to the biomarkers of atherogenic index of plasma (AIP), triglyceride glucose (TyG) index, and hemoglobin A1C (HbA1C) in conditions with and without diabetes.

METHODS

We analyzed 12,326 asymptomatic Korean adults (mean age 51.7 ± 8.5 years; 84.2% males; 15.8% with diabetes) over a median follow-up period of 3.0 years. AIP was defined as the base-10 logarithm of the ratio of triglyceride concentration (mmol/L) to high-density lipoprotein cholesterol (mmol/L). The TyG index was calculated as ln (fasting triglycerides [mg/dL] × fasting glucose [mg/ dL]/2). CAC progression was defined using the SQRT method, as a difference of ≥ 2.5 between the square roots (√) of baseline and follow-up coronary artery calcium scores (CACS) (Δ√transformed CACS). Logistic regression models adjusted for interscan periods were used to estimate the odds ratio (OR).

RESULTS

The levels of AIP, TyG index, and HbA1C were significantly higher in diabetics than in non-diabetics. CAC progression was more frequently observed in diabetics (46.9%) than in non-diabetics (28.0%). After adjusting for age, sex, hypertension, hyperlipidemia, obesity, current smoking status, serum creatinine levels, baseline CACS, and interscan period, AIP (per-0.1 unit increase) was associated with CAC progression in only non-diabetics (OR: 1.04, 95% confidence interval [CI]: 1.02 - 1.06; P < 0.001). In contrast, HbA1C level (per-1% increase) was significantly associated with CAC progression in only diabetics (OR: 1.19, 95% CI: 1.08 - 1.32; P = 0.001). The TyG index (per-1 unit increase) was associated with CAC progression in both non-diabetics (OR: 1.32, 95% CI: 1.19 - 1.46; P < 0.001) and diabetics (OR: 1.33, 95% CI: 1.10 - 1.60; P = 0.003).

CONCLUSIONS

The associations between AIP, TyG index, and HbA1C levels with CAC progression vary according to established diabetes. Of these biomarkers, TyG index is independently associated with CAC progression irrespective of established diabetes.

Global prevalence of advanced fibrosis in patients with type 2 diabetes mellitus: a systematic review and meta-analysis

BACKGROUND AND AIM

Patients with type 2 diabetes mellitus (T2DM) face a heightened susceptibility to advanced fibrosis, a condition linked to adverse clinical outcomes. However, reported data on liver fibrosis severity among individuals with T2DM vary significantly across studies with diverse characteristics. This meta-analysis aimed to estimate the global prevalence of advanced fibrosis among T2DM patients.

METHODS

A comprehensive systematic search of the EMBASE and MEDLINE databases from inception to November 2022 was conducted to identify studies assessing advanced fibrosis in individuals with T2DM. Random-effects models were utilized to calculate point estimates of prevalence, accompanied by 95% confidence interval (CI). Meta-regression with subgroup analysis was employed to address heterogeneity.

RESULTS

We identified 113 eligible studies involving 244,858 individuals from 29 countries. Globally, the prevalence of advanced fibrosis among T2DM patients was 19.5% (95% CI 16.8-22.4%). Regionally, the prevalence rates were as follows: 60.5% in West Asia (95% CI 50.3-70.4%), 24.4% in South Asia (95% CI 16.2-33.7%), 20.1% in East Asia (95% CI 14.7-26.1%), 20.0% in Europe (95% CI 15.8-24.6%), 15.8% in North America (95% CI 11.0-21.3%), and 11.3% in South America (95% CI 6.2-17.5%). The prevalence of advanced fibrosis varied notably based on the study setting and diagnostic methodology employed. Meta-regression models highlighted that 45.13% of the observed heterogeneity could be attributed to combined diagnostic modality and study setting.

CONCLUSIONS

Globally, approximately one fifth of the T2DM population presents advanced fibrosis, with prevalence differing across geographical regions. Our findings underscore the need for effective strategies to alleviate its global burden.

Comparison of race- and ethnicity-specific BMI cutoffs for categorizing obesity severity: a multicountry prospective cohort study

OBJECTIVE

The objective of this study was to compare race- and ethnicity-specific BMI cutoffs for the three classes of obesity based on equivalent risk of type 2 diabetes (T2D).

METHODS

Participants without T2D were included from the UK Biobank, the China Health and Nutrition Survey, and the Singapore Chinese Health Study. Poisson regressions with restricted cubic splines were applied to determine BMI cutoffs for each non-White race and ethnicity for equivalent incidence rates of T2D at BMI values of 30.0, 35.0, and 40.0 kg/m2 in White adults.

RESULTS

During a median follow-up of 13.8 years among 507,763 individuals, 5.2% developed T2D. In women, BMI cutoffs for an equivalent incidence rate of T2D as observed at 40.0 kg/m2 in White adults were 31.6 kg/m2 in Black, 29.2 kg/m2 in British Chinese, 27.3 kg/m2 in South Asian, 26.9 kg/m2 in Native Chinese, and 25.1 kg/m2 in Singapore Chinese adults. In men, the corresponding BMI cutoffs were 31.9 kg/m2 in Black, 30.6 kg/m2 in British Chinese, 29.0 kg/m2 in South Asian, 29.6 kg/m2 in Native Chinese, and 27.6 kg/m2 in Singapore Chinese adults. The race and ethnicity order was consistent when equivalent BMI cutoffs were estimated for class I and II obesity.

CONCLUSIONS

Establishing a race- and ethnicity-tailored classification of the three classes of obesity is urgently needed.

Application of type II diabetes incidence and mortality rates for insurance

Prolonging life is a global trend, and more medical expenditure is being spent on chronic diseases owing to population aging. Diseases commonly seen in middle-aged and elderly people, such as heart disease and diabetes, have slowed mortality improvement in recent years. Diabetes is a common chronic disease and comorbidity of many serious health conditions. The total estimated cost of diabetes in the United States was $327 billion in 2017. However, many people are unaware that diabetes is common, and at least 21.4% of adults do not know that they have diabetes. The number of diabetes-related deaths has been increasing, and diabetes was the 5th cause of death in Taiwan in 2019. In this study, we explore the trend and influence of diabetes in Taiwan and apply mortality models, such as the Lee-Carter and Age-Period-Cohort models, using data from Taiwan's National Insurance to model the incidence and mortality rates of diabetes. We found that the Lee-Carter model provides fairly satisfactory estimates and that people with diabetes regularly taking diabetes medication have lower mortality rates. Moreover, we demonstrate how these results can be used to design diabetes related insurance products and prepare the insured to face the impact of incurring diabetes. In addition, we consider different criteria for judging whether people have diabetes (as there is no consensus on these criteria) and investigate the issue of moral hazard in designing diabetes insurance products.

Islet transplantation in Korea

Type 1 diabetes mellitus is characterized by absolute insulin deficiency, which requires life-long insulin replacement. Exogenous multiple-daily insulin injections are most commonly prescribed for patients with type 1 diabetes mellitus. However, exogenous insulin supply often fails to cope with real-time changing life-log variables, such as activity, diet and stress, which results in recurrent hypo- and hyperglycemia in patients with type 1 diabetes mellitus. Islet transplantation is an ideal method to treat patients with type 1 diabetes mellitus, as it can restore the endogenous capacity of glucose-stimulated insulin secretion. However, due to donor scarcity and technical barriers, only a limited number of islet transplantations have been carried out in Asia, including South Korea. Since 2013, our center has carried out two allogenic islet transplantations, with one case leading to near total insulin independence after one-to-one islet transplantation. Although the other patient failed to restore endogenous insulin production, there was a remarkable improvement in hypoglycemia. We speculate that islet transplantation remains an important and ideal treatment option for patients with type 1 diabetes mellitus who suffer from recurrent severe hypoglycemia.

Carotid Intima-Media Thickness in Indian Patients With Non-alcoholic Fatty Liver Disease: A Systematic Review and a Meta-Analysis

There is a significant association of non-alcoholic fatty liver disease (NAFLD) with cardiovascular disease (CVD). Most CVDs begin with atherosclerosis in the arteries, which can be reliably measured as the carotid intima-media thickness (CIMT) by ultrasound. Given that ethnic and regional differences have an impact on NAFLD, we aimed to evaluate the association of NAFLD patients from India with subclinical atherosclerosis, measured as CIMT. A thorough literature search was performed on four electronic databases using combinations of several keywords. The relevant data were pooled in a random or fixed-effect model, based on heterogeneity, to calculate the pooled standardised mean difference (SMD), or odds ratio (OR) with 95% confidence interval (CI). The final analysis included a total of 15 studies with 1196 NAFLD and 1482 control subjects. NAFLD patients had a 21.3% higher mean CIMT than the controls. The pooled SMD was 1.001 (95% CI: 0.627-1.375, p < 0.001). Three studies that balanced cardiometabolic risk factors found a similar association (p = 0.037). Furthermore, NAFLD was significantly associated with the presence of high (>0.8 mm) CIMT (pooled OR = 5.4, 95% CI: 2.0-14 .9) and carotid plaques (pooled OR = 10.24, 95% CI: 5.74-18.26). The mean CIMT was also higher in diabetic NAFLD than in the diabetic control (pooled SMD = 1.07, 95% CI = 0.818-1.324, p < 0.001). There is a significant positive association between the marker of subclinical atherosclerosis and NAFLD in India. This might give more light on screening and follow-up plans for such patients.

Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial

BACKGRUOUND

Guidelines for switching to triple combination therapy directly after monotherapy failure are limited. This study investigated the efficacy, long-term sustainability, and safety of either mono or dual add-on therapy using alogliptin and pioglitazone for patients with type 2 diabetes mellitus (T2DM) who did not achieve their target glycemic range with metformin monotherapy.

METHODS

The Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) was a multicenter, placebo-controlled, double-blind, randomized trial. A total of 214 participants were randomized to receive alogliptin+pioglitazone (Alo+Pio group, n=70), alogliptin (Alo group, n=75), or pioglitazone (Pio group, n=69). The primary outcome was the difference in glycosylated hemoglobin (HbA1c) levels between the three groups at baseline to 24 weeks. For durability, the achievement of HbA1c levels <7% and <6.5% was compared in each group. The number of adverse events was investigated for safety.

RESULTS

After 24 weeks of treatment, the change of HbA1c in the Alo+Pio, Alo, and Pio groups were -1.38%±0.08%, -1.03%±0.08%, and -0.84%±0.08%, respectively. The Alo+Pio group had significantly lower HbA1c levels than the other groups (P=0.0063, P<0.0001) and had a higher proportion of patients with target HbA1c achievement. In addition, insulin sensitivity and β-cell function, lipid profiles, and other metabolic indicators were also improved. There were no significant safety issues in patients treated with triple combination therapy.

CONCLUSION

Early combination triple therapy showed better efficacy and durability than the single add-on (dual) therapy. Therefore, combination therapy with metformin, alogliptin, and pioglitazone is a valuable early treatment option for T2DM poorly controlled with metformin monotherapy.

Association of Types of Meal Skipping with Cardio-metabolic Risk Factors in Korean Adults: The 7th Korea National Health and Nutrition Examination Survey (2016-2018)

BACKGROUND

This study aimed to examine the effects of different types of skipped meals on cardiometabolic risk factors (CMRF) in Korean adults.

METHODS

We analyzed 14,062 adults from the Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018. The irregularity of breakfast, lunch, and dinner consumption was assessed using 24-hour recall data, and we categorized the habit of skipping regular meals into eight types. Multiple linear regression was used to estimate the association between each type of meal skipping and the CMRF. We also presented the estimated effects of individual types of meal skipping on the CMRF based on their predicted values and mean differences.

RESULTS

Korean adults tended to have irregular meal consumption habits when they had one or more of the following characteristics: female sex, under the age of 50 years, middle-high to high household income, high school or college or higher education levels, alcohol consumption, and current smoking. Compared to regular eaters, we have observed significantly higher total cholesterol in the following types of meal skipping: irregular breakfast (IB) (P<0.001), irregular lunch (P=0.005), irregular breakfast and lunch (IBL) (P=0.001), irregular breakfast and dinner (P=0.001); higher low-density lipoprotein-cholesterol in IB (P=0.009); higher triglyceride in IB (P=0.005) and IBL (P=0.034); and higher fasting glucose in IB (P=0.046).

CONCLUSION

Different types of meal skipping were associated with CMRF. Regular breakfast and lunch consumption should be emphasized to prevent and manage cardiometabolic disorders. However, skipping dinner showed no significant association with CMRF.

Short-term Exposure to Wildfire-Specific PM2.5 and Diabetes Hospitalization: A Study in Multiple Countries and Territories

OBJECTIVE

To evaluate associations of wildfire fine particulate matter ≤2.5 mm in diameter (PM2.5) with diabetes across multiple countries and territories.

RESEARCH DESIGN AND METHODS

We collected data on 3,612,135 diabetes hospitalizations from 1,008 locations in Australia, Brazil, Canada, Chile, New Zealand, Thailand, and Taiwan during 2000-2019. Daily wildfire-specific PM2.5 levels were estimated through chemical transport models and machine-learning calibration. Quasi-Poisson regression with distributed lag nonlinear models and random-effects meta-analysis were applied to estimate associations between wildfire-specific PM2.5 and diabetes hospitalization. Subgroup analyses were by age, sex, location income level, and country or territory. Diabetes hospitalizations attributable to wildfire-specific PM2.5 and nonwildfire PM2.5 were compared.

RESULTS

Each 10 µg/m3 increase in wildfire-specific PM2.5 levels over the current day and previous 3 days was associated with relative risks (95% CI) of 1.017 (1.011-1.022), 1.023 (1.011-1.035), 1.023 (1.015-1.032), 0.962 (0.823-1.032), 1.033 (1.001-1.066), and 1.013 (1.004-1.022) for all-cause, type 1, type 2, malnutrition-related, other specified, and unspecified diabetes hospitalization, respectively. Stronger associations were observed for all-cause, type 1, and type 2 diabetes in Thailand, Australia, and Brazil; unspecified diabetes in New Zealand; and type 2 diabetes in high-income locations. An estimate of 0.67% (0.16-1.18%) and 1.02% (0.20-1.81%) for all-cause and type 2 diabetes hospitalizations were attributable to wildfire-specific PM2.5. Compared with nonwildfire PM2.5, wildfire-specific PM2.5 posed greater risks of all-cause, type 1, and type 2 diabetes and were responsible for 38.7% of PM2.5-related diabetes hospitalizations.

CONCLUSIONS

We show the relatively underappreciated links between diabetes and wildfire air pollution, which can lead to a nonnegligible proportion of PM2.5-related diabetes hospitalizations. Precision prevention and mitigation should be developed for those in advantaged communities and in Thailand, Australia, and Brazil.

The association of weight-adjusted waist index with the risk of osteoporosis in patients with type 2 diabetes: a cross-sectional study

BACKGROUND

The relationship between obesity and type 2 diabetes with bone health has always been a topic of debate. The weight-adjusted waist index has become a commonly used indicator for assessing central obesity, fat, and muscle mass. However, currently there is no research reporting the association between weight-adjusted waist index and risk of osteoporosis in populations of type 2 diabetes. Therefore, this study aims to provide new information on the association between weight-adjusted waist index and risk of osteoporosis in type 2 diabetes.

METHODS

This cross-sectional study involved 963 patients with type 2 diabetes who were admitted to the Department of Endocrinology of Cangzhou Central Hospital. Multivariate logistic regression models were used to assess the association between weight-adjusted waist index and osteoporosis. The potential nonlinear association was evaluated. The effects of interaction between subgroups were assessed using the likelihood ratio test.

RESULTS

Weight-adjusted waist index was positively associated with the risk of osteoporosis, regardless of traditional confounding factors. For each 1 unit increased in weight-adjusted waist index, the risk of osteoporosis increased by 67%. Furthermore, there was a nonlinear relationship between weight-adjusted waist index and osteoporosis. The subgroup analysis did not reveal any significant interactions.

CONCLUSIONS

Our study indicated a positive association between weight-adjusted waist index and the risk of osteoporosis in adult Chinese type 2 diabetes patients, and this relationship was nonlinear.

Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores

East Asian populations exhibit a genetic predisposition to obesity, yet comprehensive research on these traits is limited. We conducted a genome-wide association study (GWAS) with 93,673 Korean subjects to uncover novel genetic loci linked to obesity, examining metrics such as body mass index, waist circumference, body fat ratio, and abdominal fat ratio. Participants were categorized into non-obese, metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) groups. Using advanced computational methods, we developed a multifaceted polygenic risk scores (PRS) model to predict obesity. Our GWAS identified significant genetic effects with distinct sizes and directions within the MHO and MUO groups compared with the non-obese group. Gene-based and gene-set analyses, along with cluster analysis, revealed heterogeneous patterns of significant genes on chromosomes 3 (MUO group) and 11 (MHO group). In analyses targeting genetic predisposition differences based on metabolic health, odds ratios of high PRS compared with medium PRS showed significant differences between non-obese and MUO, and non-obese and MHO. Similar patterns were seen for low PRS compared with medium PRS. These findings were supported by the estimated genetic correlation (0.89 from bivariate GREML). Regional analyses highlighted significant local genetic correlations on chromosome 11, while single variant approaches suggested widespread pleiotropic effects, especially on chromosome 11. In conclusion, our study identifies specific genetic loci and risks associated with obesity in the Korean population, emphasizing the heterogeneous genetic factors contributing to MHO and MUO.

Pancreatic beta-cell mass and function and therapeutic implications of using antidiabetic medications in type 2 diabetes

Nowadays, the focus of diabetes treatment has switched from lowering the glucose level to preserving glycemic homeostasis and slowing the disease progression. The main pathophysiology of both type 1 diabetes and long-standing type 2 diabetes is pancreatic β-cell mass loss and dysfunction. According to recent research, human pancreatic β-cells possess the ability to proliferate in response to elevated insulin demands. It has been demonstrated that in insulin-resistant conditions in humans, such as obesity or pregnancy, the β-cell mass increases. This ability could be helpful in developing novel treatment approaches to restore a functional β-cell mass. Treatment strategies aimed at boosting β-cell function and mass may be a useful tool for managing diabetes mellitus and stopping its progression. This review outlines the processes of β-cell failure and detail the many β-cell abnormalities that manifest in people with diabetes mellitus. We also go over standard techniques for determining the mass and function of β-cells. Lastly, we provide the therapeutic implications of utilizing antidiabetic drugs in controlling the mass and function of pancreatic β-cells.

Utilising a Clinical Metabolomics LC-MS Study to Determine the Integrity of Biological Samples for Statistical Modelling after Long Term -80 °C Storage: A TOFI_Asia Sub-Study

Biological samples of lipids and metabolites degrade after extensive years in -80 °C storage. We aimed to determine if associated multivariate models are also impacted. Prior TOFI_Asia metabolomics studies from our laboratory established multivariate models of metabolic risks associated with ethnic diversity. Therefore, to compare multivariate modelling degradation after years of -80 °C storage, we selected a subset of aged (≥5-years) plasma samples from the TOFI_Asia study to re-analyze via untargeted LC-MS metabolomics. Samples from European Caucasian (n = 28) and Asian Chinese (n = 28) participants were evaluated for ethnic discrimination by partial least squares discriminative analysis (PLS-DA) of lipids and polar metabolites. Both showed a strong discernment between participants ethnicity by features, before (Initial) and after (Aged) 5-years of -80 °C storage. With receiver operator characteristic curves, sparse PLS-DA derived confusion matrix and prediction error rates, a considerable reduction in model integrity was apparent with the Aged polar metabolite model relative to Initial modelling. Ethnicity modelling with lipids maintained predictive integrity in Aged plasma samples, while equivalent polar metabolite models reduced in integrity. Our results indicate that researchers re-evaluating samples for multivariate modelling should consider time at -80 °C when producing predictive metrics from polar metabolites, more so than lipids.

Using propensity score matching analysis to compare between cardiometabolic risk factors and physical activity type in Korean adults: findings from a nationwide population-based survey

PURPOSE

We aimed to assess the effects of different exercise modalities on cardiometabolic risk factors within a comprehensive, representative sample of the Korean population.

METHODS

We categorized 13,971 adult participants into aerobic exercise (AE), resistance exercise (RE), combined aerobic and resistance exercise (TE), insufficient exercise, and inactive groups. Multivariable regressions were conducted to compare the incidence of chronic diseases across the groups before and after propensity score matching (PSM).

RESULTS

The TE and RE groups had significantly lower waist circumference (WC), mean blood pressure (BP), glucose and insulin-related indices, and white blood cell count (WBC) measures, with TE showing the most significant differences. The TE group had significantly lower triglyceride levels and higher high-density lipoprotein-cholesterol levels. Post-PSM, the TE group had the lowest risk for metabolic syndrome, hypertension, and diabetes, closely followed by the RE group when compared with the inactive group. In a subgroup analysis, RE consistently exhibited benefits including lower body mass index, WC, BP, total cholesterol, glucose and insulin-related indices, and WBC count when compared with AE. RE may be associated with reduced incidence of cardiometabolic diseases compared to AE alone.

CONCLUSION

TE appears to be associated with significant reduction in cardiometabolic risk in Korean adults. RE possibly provides a more favorable cardiometabolic effect than AE.

The Relationship between Myopia and Obesity in Adults

PURPOSE

To investigate the relationship between myopia and obesity through direct measurements of fat content.

METHODS

A cross-sectional study used a stratified, multistage survey, the Korea National Health and Nutrition Examination Survey (2008-2010). Subjects 19 years or older (n = 10,305) were included. Participants were divided into three groups according to refractive status: myopia (spherical equivalent [SE] ≤ -1.0 diopter [D]), emmetropia (-1.0 D < SE ≤ 1.0 D), and hyperopia (SE > 1.0 D). Obesity was investigated with assessment of fat mass and body mass index or waist circumference. Fat mass was measured with whole-body dual energy x-ray absorptiometry. Body fat percentage was calculated as (total fat mass / body weight × 100).

RESULTS

Higher obesity index was found in individuals with myopic eyes after adjustment for age, sex, education level, income status, physical activity, residence, and serum vitamin D level. The significant difference in total body fat percentages among myopia, emmetropia, and hyperopia was significant in the young age group (19-39 years, p < 0.05) but not in the middle age group (40-64 years) and the old age group (≥65 years). Individuals with a higher percentage of total body fat had greater odds ratios for myopia (fourth quartile of body fat; odds ratio, 1.352; 95% confidence interval, 1.178-1.551).

CONCLUSIONS

An association was found between adiposity and myopia in relatively young adults using direct measurements of fat mass.

Trends of HbA1c and BMI in People with Type 2 Diabetes: A Japanese Claims-Based Study

INTRODUCTION

Obesity prevalence has increased in Japan in recent years. Given the strong association of obesity with poor glycemic control, and increased risk of type 2 diabetes (T2D) with central obesity, this study describes the current trends and relationships between glycated hemoglobin (HbA1c), body mass index (BMI), and waist circumference in the Japanese people with T2D.

METHODS

This was a retrospective, cross-sectional study of people with T2D who had at least one recorded HbA1c and BMI (or waist circumference) value in the Japan Medical Data Center Claims database. Five annual cohorts of the study population were formed between January 2017 and December 2021. Annual trends of HbA1c across BMI categories (obesity class I [≥ 25 ~  < 30 kg/m2]-IV [≥ 40 kg/m2]) and in people with central obesity (waist circumference: ≥ 85 cm in men; ≥ 90 cm in women) were described by sex and age groups.

RESULTS

Overall, 106,089 people with T2D (HbA1c and BMI data: 106,079; HbA1c and waist circumference data: 105,424) were included, with the majority of people belonging to obesity class I (range: 39.7-40.6%) and obesity class II (range: 16.2-17.7%) categories across all annual cohorts. People in higher BMI categories had higher mean HbA1c, with > 50% of people with T2D in obesity class I-IV (54.8-56.5%) having HbA1c ≥ 7%. Between 2017 and 2021, BMI and waist circumference increased in the age group 18-44 years. More than 50% of people with T2D and central obesity in both sexes and people of age group 18-44 years across obesity class I-IV or with central obesity had HbA1c ≥ 7%.

CONCLUSION

More than half of the people with T2D belonging to obesity class I-IV or central obesity had poor glycemic control (HbA1c ≥ 7%), especially in the 18-44 age group. This highlights the need for body weight management for better glycemic control in relatively young Japanese people with T2D and obesity.

Unveiling Anti-Diabetic Potential of Baicalin and Baicalein from Baikal Skullcap: LC-MS, In Silico, and In Vitro Studies

Type 2 diabetes mellitus (T2DM) is marked by persistent hyperglycemia, insulin resistance, and pancreatic β-cell dysfunction, imposing substantial health burdens and elevating the risk of systemic complications and cardiovascular diseases. While the pathogenesis of diabetes remains elusive, a cyclical relationship between insulin resistance and inflammation is acknowledged, wherein inflammation exacerbates insulin resistance, perpetuating a deleterious cycle. Consequently, anti-inflammatory interventions offer a therapeutic avenue for T2DM management. In this study, a herb called Baikal skullcap, renowned for its repertoire of bioactive compounds with anti-inflammatory potential, is posited as a promising source for novel T2DM therapeutic strategies. Our study probed the anti-diabetic properties of compounds from Baikal skullcap via network pharmacology, molecular docking, and cellular assays, concentrating on their dual modulatory effects on diabetes through Protein Tyrosine Phosphatase 1B (PTP1B) enzyme inhibition and anti-inflammatory actions. We identified the major compounds in Baikal skullcap using liquid chromatography-mass spectrometry (LC-MS), highlighting six flavonoids, including the well-studied baicalein, as potent inhibitors of PTP1B. Furthermore, cellular experiments revealed that baicalin and baicalein exhibited enhanced anti-inflammatory responses compared to the active constituents of licorice, a known anti-inflammatory agent in TCM. Our findings confirmed that baicalin and baicalein mitigate diabetes via two distinct pathways: PTP1B inhibition and anti-inflammatory effects. Additionally, we have identified six flavonoid molecules with substantial potential for drug development, thereby augmenting the T2DM pharmacotherapeutic arsenal and promoting the integration of herb-derived treatments into modern pharmacology.

Body Roundness Index Is Better Correlated with Insulin Sensitivity than Body Shape Index in Young and Middle-Aged Japanese Persons

Aims: The present study aimed to clarify the relationships between novel and traditional anthropometric indices and insulin sensitivity (SI) in young and middle-aged Japanese persons with normal glucose tolerance (NGT), and middle-aged Japanese persons with NGT and glucose intolerance. Methods: Plasma glucose and insulin levels were measured in 1270 young (age <40 years) and 2153 middle-aged persons with NGT (n = 1531) and glucose intolerance (n = 622) during a 75-g oral glucose tolerance test. Height (Ht), weight, and waist circumference (WC) were measured. The body mass index (BMI), WC, and the WC/Ht ratio were used as traditional anthropometric indices. A body shape index (ABSI) and the body roundness index (BRI) were calculated as novel indices. Indices of SI (Matsuda index and 1/homeostasis model assessment of insulin resistance) were calculated and compared with anthropometric indices. Results: The ABSI showed a weak correlation with SI indices in all groups. The BRI showed almost the same correlation with SI indices as the BMI, WC, and WC/Ht in all groups. The inverse correlation between each of the anthropometric indices other than ABSI and SI indices was weak in young persons, at 0.16-0.27 (Spearman's ρ values), but strong in middle-aged persons, at 0.38-1.00. On receiver-operating characteristic (ROC) curve analysis for detection of insulin resistance, the ABSI had a lower area under the ROC curve (AUC) than the other anthropometric indices, and the BRI and the WC/Ht ratio showed similar AUCs. The AUCs for the BRI and WC/Ht ratio were the highest in middle-aged men with NGT and glucose intolerance. Conclusions: The BRI, not the ABSI, was better correlated with SI in young and middle-aged Japanese persons. The BRI and WC/Ht ratio were comparable in their correlations with SI and the detection of insulin resistance in the participants of the present study.

Behind BMI: The Potential Indicative Role of Abdominal Ectopic Fat on Glucose Metabolism

INTRODUCTION

The purpose of this study was to compare the difference in abdominal fat distribution between different metabolic groups and find the ectopic fat with the most risk significance.

METHODS

A total of 98 subjects were enrolled; there were 53 cases in the normal glucose metabolism group and 45 cases in the abnormal glucose metabolism group. Chemical shift-encoded magnetic resonance imaging was applied for quantification of pancreatic fat fraction (PFF) and hepatic fat fraction (HFF), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT). The correlation and the difference of fat distribution between different metabolism groups were analyzed. The receiver operating characteristic (ROC) curve was used to analyze the suggestive effect of different body fat fraction.

RESULTS

Correlation analysis showed that body mass index (BMI) had the strongest correlation with fasting insulin (r = 0.473, p < 0.001), HOMA-IR (r = 0.363, p < 0.001), and C-reactive protein (r = 0.245, p < 0.05). Pancreatic fat has a good correlation with fasting blood glucose (r = 0.247, p < 0.05) and HbA1c (r = 0.363, p < 0.001). With the increase of BMI, PFF, VAT, and SAT showed a clear upward trend, but liver fat was distributed relatively more randomly. The pancreatic fat content in the abnormal glucose metabolism group is significantly higher than that in the normal group, and pancreatic fat is also a reliable indicator of abnormal glucose metabolism, especially in the normal and overweight groups (the area under the curve was 0.859 and 0.864, respectively).

CONCLUSION

MR-based fat quantification techniques can provide additional information on fat distribution. There are differences in fat distribution among people with different metabolic status. People with more severe pancreatic fat deposition have a higher risk of glucose metabolism disorders.

Trajectories of body mass index before the diagnosis of type 2 diabetes in a cohort of Taiwanese adults

BACKGROUND

Although the prevalence of overweight/obesity is lower in Asian countries, the risk of type 2 diabetes (T2DM) is disproportionally higher. We identified and characterized the trajectory patterns of body mass index (BMI) before the onset of T2DM in a Taiwanese population.

METHODS

Using the Taiwan MJ cohort study, we sampled the health examination data of 22,934 participants, including 7618 cases of T2DM and 15,316 controls. We used latent class trajectory analysis to identify distinct groups of pre-disease BMI trajectory. To compare the trajectories of cardiometabolic risk factors among different groups, we used linear mixed-effects models.

RESULTS

These 22,934 participants included 13,074 men (57%) and 9860 women (43%) who were on average followed for 9.0 years. We identified three distinct pre-disease BMI trajectories in cases: "stable overweight" (n = 7016, 92.1%), "weight gain" (n = 333, 4.4%) and "obesity" (n = 269, 3.5%). The "stable overweight" group had a mean BMI of 24.6 kg/m2 at 15 years prior to diagnosis, had a 1.2 unit increase during follow-up, and had a mean BMI of 25.8 kg/m2 at the time of diagnosis. The "weight gain" group had the most increasing trends in blood pressure/low-density lipoprotein cholesterol over time.

CONCLUSION

The BMI trajectory patterns among individuals who later developed diabetes in Taiwan seemed comparable to that of Western populations, but our population developed T2DM at a much lower BMI. Given that most cases belong to the "stable overweight" group, we also support using a population-based strategy for diabetes prevention instead of focusing on the high risk individuals.

Comparison of Eastern and Western patients undergoing bariatric surgery at two US and Korean institutions: a retrospective analysis of differing bariatric patient populations

BACKGROUND

Currently, there are differences in both demographics and indications for bariatric surgery between Eastern and Western countries. We compared postoperative outcomes between Korean and American bariatric programs in order to assess how bariatric surgery differently affects these populations.

METHODS

We enrolled 540 patients who underwent bariatric surgery at University of California, Los Angeles (UCLA) and 85 patients who underwent surgery at Kosin University Gospel Hospital (KUGH) between January 2019 and December 2020. We compared demographics, complications, weight loss, and metabolic parameters between these groups.

RESULTS

There was a difference in age between the UCLA and KUGH patient groups (44.3 years vs 37.6 years, P < 0.01). Frequencies of T2DM and OSA were also different (4.2% vs 50.6%, 34.1% vs 85.9% P < 0.01. Length of hospital stay varied (1.55 days vs 6.68 days, P < 0.01), but there was no difference in operating time and complications. There was no difference in percent of excess weight loss between the two groups at 6 months (29.7 vs 33.8, P = 0.13). Hepatic steatosis index (HSI) was higher in the UCLA group both before (54.2 vs 51.5, P < 0.01) and after (44.4 vs 40.0, P = 0.02) surgery. LSG was the most frequently performed operation, and robotic surgery and revisions were performed only in the UCLA program.

CONCLUSION

There were differences in age, BMI, length of stay, and choice of operation between Korean and American bariatric patients. Also, there were differences in the degree of fatty liver disease using HSI and liver enzymes before and after surgery. There was no significant differences in operation time and complications. These findings suggest differences in bariatric practices and reactions to bariatric surgery in Eastern and Western settings.

Association Between Body Mass Index and Clinical Outcomes According to Diabetes in Patients Who Underwent Percutaneous Coronary Intervention

BACKGROUND AND OBJECTIVES

We evaluated the effect of diabetes on the relationship between body mass index (BMI) and clinical outcomes in patients following percutaneous coronary intervention (PCI) with drug-eluting stent implantation.

METHODS

A total of 6,688 patients who underwent PCI were selected from five different registries led by Korean Multicenter Angioplasty Team. They were categorized according to their BMI into the following groups: underweight (<18.5 kg/m²), normal weight (18.5-24.9 kg/m²), overweight to obese (≥25.0 kg/m²). Major adverse cardiac and cerebrovascular events (MACCE), defined as a composite of death, nonfatal myocardial infarction, stroke, and target-vessel revascularization, were compared according to the BMI categories (underweight, normal and overweight to obese group) and diabetic status. All subjects completed 1-year follow-up.

RESULTS

Among the 6,688 patients, 2,561 (38%) had diabetes. The underweight group compared to normal weight group had higher 1-year MACCE rate in both non-diabetic (adjusted hazard ratio [HR], 2.24; 95% confidence interval [CI], 1.04-4.84; p=0.039) and diabetic patients (adjusted HR, 2.86; 95% CI, 1.61-5.07; p<0.001). The overweight to obese group had a lower MACCE rate than the normal weight group in diabetic patients (adjusted HR, 0.67 [0.49-0.93]) but not in non-diabetic patients (adjusted HR, 1.06 [0.77-1.46]), with a significant interaction (p-interaction=0.025).

CONCLUSIONS

Between the underweight and normal weight groups, the association between the BMI and clinical outcomes was consistent regardless of the presence of diabetes. However, better outcomes in overweight to obese over normal weight were observed only in diabetic patients. These results suggest that the association between BMI and clinical outcomes may differ according to the diabetic status.

A comparative analysis of the cost-utility of the Philippine tax on sweetened beverages as proposed and as implemented

Background

In response to increasing overweight and obesity, the Philippine government introduced a tax on sweetened beverages (SBs) in 2018. Evidence suggests that the beverage industry influenced the final tax design, making it more favourable for industry than the initially proposed bill. This study aimed to compare the relative health and economic benefits of the proposed SB tax with the implemented SB tax.

Methods

Philippine dietary consumption data were combined with price elasticity data from Mexico and data from Australia adapted to the Philippine context to estimate reductions in SB purchases and changes in body mass index (BMI) following the implementation of the tax. A multi-state, multiple-cohort Markov model was used to estimate the change in health-adjusted life years (HALYs) due to reduction in the epidemiology of obesity-related diseases, healthcare cost savings and government taxation revenue, resulting from both the proposed and implemented tax policies, over the lifetime of the 2018 Philippine population.

Findings

The proposed and implemented taxes were modelled to be dominant (cost-saving and improving health). Intervention costs were modelled to be PHP305.2 million (M) (approximately US$6M). Compared to the proposed tax, the implemented tax was modelled to result in a 43.0% smaller reduction in targeted beverage intake (51.1 ml/person/day vs. 89.7 ml/person/day), a 43.5% smaller reduction in BMI (0.35 kg/m2 vs. 0.62 kg/m2), 39.7% fewer HALYs gained (2,503,118 vs. 4,149,030), 39.9% fewer healthcare cost savings (PHP16.4 billion (B) vs. PHP27.3B), and 27.7% less government taxation revenue (PHP426.3B vs. PHP589.4B).

Interpretation

While the implemented tax in the Philippines will benefit population health, it is likely to yield less benefit than the proposed tax. The influence of the food and beverage industry on policy processes has the potential to lessen the benefits of population NCD prevention policies.

Funding

OH was supported to conduct this research by an Australian Government Research Training Program Stipend Scholarship. The funding body had no role in data collection and analysis, or manuscript preparation.

Molecular dynamics articulated multilevel virtual screening protocol to discover novel dual PPAR α/γ agonists for anti-diabetic and metabolic applications

PPARα and PPARγ are isoforms of the nuclear receptor superfamily which regulate glucose and lipid metabolism. Activation of PPARα and PPARγ receptors by exogenous ligands could transactivate the expression of PPARα and PPARγ-dependent genes, and thereby, metabolic pathways get triggered, which are helpful to ameliorate treatment for the type 2 diabetes mellitus, and related metabolic complications. Herein, by understanding the structural requirements for ligands to activate PPARα and PPARγ proteins, we developed a multilevel in silico-based virtual screening protocol to identify novel chemical scaffolds and further design and synthesize two distinct series of glitazone derivatives with advantages over the classical PPARα and PPARγ agonists. Moreover, the synthesized compounds were biologically evaluated for PPARα and PPARγ transactivation potency from nuclear extracts of 3T3-L1 cell. Furthermore, glucose uptake assay on L6 cells confirmed the potency of the synthesized compounds toward glucose regulation. Percentage lipid-lowering potency was also assessed through triglyceride estimate from 3T3-L1 cell extracts. Results suggested the ligand binding mode was in orthosteric fashion as similar to classical agonists. Thus molecular docking and molecular dynamics (MD) simulation experiments were executed to validate our hypothesis on mode of ligands binding and protein complex stability. Altogether, the present study developed a newer protocol for virtual screening and enables to design of novel glitazones for activation of PPARα and PPARγ-mediated pathways. Accordingly, present approach will offer benefit as a therapeutic strategy against type 2 diabetes mellitus and associated metabolic complications.

Effects of once-weekly dulaglutide on juvenile type 2 diabetes mellitus and obesity in Korea: a pilot study

PURPOSE

We sought to investigate the effects and side effects of once-weekly dulaglutide treatment for type 2 diabetes mellitus (T2DM) in patients <18 years of age in Korea.

METHODS

: From the Eulji University Hospital database, we identified all patients <18 years of age diagnosed with T2DM and treated with dulaglutide from January 1, 2017, to July 31, 2022.

RESULTS

We identified 5 patients <18 years of age treated with dulaglutide for T2DM management. Their mean (standard deviation [SD]) age was 16.6 (0.5) years. Four (80%) patients were female. The mean (SD) body mass index was 29.4 (5.1) kg/m2, and the mean (SD) age at diagnosis was 15.2 (1.6) years. Four patients had been treated previously with metformin alone or in combination with insulin. Four patients were treated with 1.5 mg of dulaglutide and one was treated with 0.75 mg of dulaglutide. The mean (SD) hemoglobin A1c concentrations at baseline, 3 months after treatment, and 1 year after treatment, respectively, were 10.0% (2.2%), 6.5% (1.5%), and 6.7% (1.4%), with significant differences. In addition, at baseline, 3 months after treatment, and 1 year after treatment, the mean (SD) body weight values were 79.7 (13.3) kg, 80.2 (14.0) kg, and 81.1 (15.3) kg, with no significant difference.

CONCLUSION

Use of once-weekly dulaglutide for juvenile T2DM ensures very good glycemic control, with few side effects and good adherence, indicating its potential as a promising therapeutic agent in this age group. Nationwide studies are warranted to confirm our results.

Distinct effects of cholesterol profile components on amyloid and vascular burdens

BACKGROUND

Cholesterol plays important roles in β-amyloid (Aβ) metabolism and atherosclerosis. However, the relationships of plasma cholesterol levels with Aβ and cerebral small vessel disease (CSVD) burdens are not fully understood in Asians. Herein, we investigated the relationships between plasma cholesterol profile components and Aβ and CSVD burdens in a large, non-demented Korean cohort.

METHODS

We enrolled 1,175 non-demented participants (456 with unimpaired cognition [CU] and 719 with mild cognitive impairment [MCI]) aged ≥ 45 years who underwent Aβ PET at the Samsung Medical Center in Korea. We performed linear regression analyses with each cholesterol (low-density lipoprotein cholesterol [LDL-c], high-density lipoprotein cholesterol [HDL-c], and triglyceride) level as a predictor and each image marker (Aβ uptake on PET, white matter hyperintensity [WMH] volume, and hippocampal volume) as an outcome after controlling for potential confounders.

RESULTS

Increased LDL-c levels (β = 0.014 to 0.115, p = 0.013) were associated with greater Aβ uptake, independent of the APOE e4 allele genotype and lipid-lowering medication. Decreased HDL-c levels (β =  - 0.133 to - 0.006, p = 0.032) were predictive of higher WMH volumes. Increased LDL-c levels were also associated with decreased hippocampal volume (direct effect β =  - 0.053, p = 0.040), which was partially mediated by Aβ uptake (indirect effect β =  - 0.018, p = 0.006).

CONCLUSIONS

Our findings highlight that increased LDL-c and decreased HDL-c levels are important risk factors for Aβ and CSVD burdens, respectively. Furthermore, considering that plasma cholesterol profile components are potentially modified by diet, exercise, and pharmacological agents, our results provide evidence that regulating LDL-c and HDL-c levels is a potential strategy to prevent dementia.

Association between dietary carbohydrate intake and risk of type 2 diabetes: a systematic review and meta-analysis of cohort studies

Background

Previous meta-analyses have assessed the relationship between carbohydrate intake and type 2 diabetes (T2D) risk; however, they included few studies of Asian populations who have a higher carbohydrate intake and lower insulin secretory capacity than non-Asians. Since the publication of the previous meta-analyses, three further studies of Asian populations have been conducted. Based on this background, the present study aimed to perform an updated systematically examine observational studies concerning the link between dietary carbohydrate intake and T2D risk.

Methods

We conducted a systematic search for cohort studies that investigated the target association. For each analyzed study, parameter-adjusted risk ratios were used to compare the lowest and highest carbohydrate-intake groups in terms of their risk of incident T2D. The risk ratios were calculated using a random-effects model.

Results

Ten publications were analyzed. Overall, carbohydrate intake was found not to be associated with increased risk ratios of incident T2D (risk ratio [RR] = 1.07; 95% confidence interval [95% CI] = 0.94, 1.21; P < 0.01, I2 = 61.9%). However, studies of Asian populations reported that high carbohydrate intake is significantly associated with this risk (RR = 1.29; 95% CI 1.15, 1.45; P = 0.59, I2 = 0.0%).

Conclusions

This updated meta-analysis showed that, overall, carbohydrate intake is not associated with the risk of T2D; nevertheless, a significant association exists among Asian populations. To confirm the association between dietary carbohydrate intake and T2D risk observed in this study, further evidence from long-term observational studies of Asian populations is required.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13340-023-00642-0.

The serum creatinine to cystatin C to waist circumference ratios predicts risk for type 2 diabetes: A Chinese cohort study

BACKGROUND

There is a lack of research regarding the relationship between creatinine to cystatin C to waist circumference ratio (CCR/WC ratios) and the development of type 2 diabetes mellitus (T2DM). We aimed to evaluate the association between CCR/WC ratios and incident T2DM in Chinese adults.

METHODS

This prospective study was from the China Health and Retirement Longitudinal Study (2011, 2013, 2015, and 2018). The participants were divided into three groups by tertiaries of the CCR/WC ratios. Cox proportional-hazards models were used to identify the relationship between CCR/WC and T2DM.

RESULTS

Overall, 5938 participants were included for analysis, 766 of whom developed T2DM between 2011 and 2018. Risk of incident T2DM was decreased with tertiaries 2, 3 versus tertiary 1 of the CCR/WC index (adjusted hazard ratio [HR] 0.772 [95% confidence interval 0.647-0.921] and 0.724 [0.596-0.880], p for trend = .001 across tertiaries of the CCR/WC index). The results were consistent excluding participants with T2DM in the first 2 years.

CONCLUSIONS

This study demonstrated that CCR/WC was negatively correlated with the risk of T2DM in Chinese adults. Early detection is necessary to control the development of T2DM in Chinese with low CCR/WC levels.