Diabetes & Metabolism Journal最新文献

Backgruound: Comparisons between continuous glucose monitoring (CGM) metrics during the first and second trimesters and conventional mid-pregnancy oral glucose tolerance test (OGTT) values in pregnant women without pre-existing diabetes for predicting infant birth weight are scarce.

Methods: In a longitudinal observational study, 113 participants had first and second trimester CGM data collected over a 7- to 14-day period, as well as three-point OGTT (fasting, 1-hour, and 2-hour) performed at mid-pregnancy (24 to 28 weeks). Multinomial logistic regression, adjusting for maternal ethnicity, education level, age, pre-pregnancy body mass index, parity, gestational diabetes mellitus diagnosis, gestational age at delivery, and type of CGM sensor was used to analyse the relationship between CGM metrics, OGTT glucose values and infant birth weight tertile (Clinical trial identification number: NCT05123248).

Results: In the univariate analysis, CGM-derived metrics including higher mean glucose in the first trimester, higher % time above range in the second trimester, and higher % time in range (TIR) and lower % time below range (TBR) in both the first and second trimesters were associated with infants in the highest birth weight tertile. After adjusting for confounders, a 1-standard deviation increase in mean glucose level during the first trimester was significantly associated with the likelihood of the neonatal birthweight being in the highest tertile (adjusted odds ratio, 3.11; 95% confidence interval, 1.18 to 8.21; P=0.022). No significant associations were found between OGTT glucose values and infant birth weight outcomes.

Conclusion: CGM-derived mean glucose levels in early pregnancy may be a better predictor of an infant's birth weight within the highest tertile, compared to mid-pregnancy OGTT glucose values.

Backgruound: We investigated the incidence rates of hepatocellular carcinoma (HCC) in metabolic dysfunction-associated steatotic liver disease (MASLD) categories, focusing on its association with alcohol consumption in patients with type 2 diabetes mellitus (T2DM).

Methods: This study included 2,418,858 patients with T2DM aged 20 years and older who underwent a health examination between 2009 and 2012. Participants were categorized into five groups according to hepatic steatosis, cardiometabolic risk factors, other liver diseases, and alcohol consumption. Hepatic steatosis was defined as the fatty liver index ≥30. Cox regression analysis was used to analyze the association between steatotic liver disease and development of HCC.

Results: The MASLD group showed a higher risk of HCC development regardless of alcohol consumption or presence of other liver diseases (adjusted hazard ratio [aHR], 1.38; 95% confidence interval [CI], 1.33 to 1.44). The MASLD with other combined group expressed the highest risk (aHR, 5.02; 95% CI, 4.79 to 5.27). In the metabolic dysfunction and alcohol-related steatotic liver disease and alcohol-related liver disease groups, heavy to excessive alcohol consumption increased the risk of HCC development, with a higher risk associated with greater alcohol intake (aHR, 2.40; 95% CI, 2.27 to 2.53 and aHR, 3.16; 95% CI, 2.93 to 3.41). Fine and Gray analysis also exhibited a consistent trend.

Conclusion: MASLD in patients with T2DM was associated with an increased risk of developing HCC, particularly when accompanied by other liver diseases. Moreover, alcohol consumption proportionally increased the risk of HCC with the amount of alcohol consumed.

The increasing prevalence of diabetes among older adults has emerged as a major socioeconomic burden. This population is highly heterogeneous, ranging from functionally independent to severely impaired individuals, making it difficult to establish standardized recommendations. Physical activity (PA) is a cornerstone of diabetes management; however, current exercise guidelines do not adequately address the wide spectrum of functional capacities observed in older adults. For those with physical limitations, relatively simple activities such as walking, breaking up sedentary time, incorporating movement into daily routines, and aquatic exercise have been proposed, yet supporting evidence remains limited. This review summarizes the pathophysiologic mechanisms of metabolic and functional changes associated with aging and diabetes-including sarcopenia, altered body composition, and cardiovascular decline-and comprehensively discusses the benefits and precautions of various exercise modalities, tailored recommendations according to diabetes-related complications, and key clinical considerations. We further classified older adults with diabetes into three functional levels, individuals in good health, those with some comorbidities or mild disabilities, and those with high comorbidities and/or functional impairment, and proposed corresponding physical activity strategies for each level. Finally, we highlight practical and feasible approaches, including walking, interrupting sedentary behavior, daily functional movements, and aquatic exercise, to enhance clinical applicability for individuals with reduced physical capacity. These tailored, function-based strategies may help older adults with diabetes achieve safer, more effective, and sustainable improvements in glycemic control and overall health.

Backgruound: This study aimed to assess the efficacy of an initial combination therapy of statin and ezetimibe compared with statin monotherapy on major cardiovascular outcomes in individuals with diabetes.

Methods: In this population-based cohort study using National Health Insurance Service data (2010-2020), we included adults with diabetes who had not previously used any lipid-lowering medications. Those initiating statin monotherapy were matched 1:1 using propensity scores with patients starting combination therapy with a lower-potency statin and ezetimibe. This matching process resulted in 21,458 individuals in the primary prevention cohort and 10,094 in the secondary prevention cohort, respectively. The primary endpoint was a composite of myocardial infarction, stroke, and cardiovascular death. Hospitalizations for heart failure, angina, and all-cause mortality were analyzed. The impact of ezetimibe maintenance on the primary endpoint was analyzed, and other hospitalizations were categorized as adverse events.

Results: Compared with statin monotherapy, statin-ezetimibe combination significantly reduced the incidence of the primary endpoint (4.85 vs. 3.25 per 1,000 person-years: hazard ratio [HR], 0.67; 95% confidence interval [CI], 0.56 to 0.81 in the primary cohort; and 19.5 vs. 15.7 per 1,000 person-years: HR, 0.80; 95% CI, 0.70 to 0.91 in the secondary cohort) and myocardial infarction (HR, 0.64; 95% CI, 0.46 to 0.82 in the primary cohort; and HR, 0.73; 95% CI, 0.60 to 0.89 in the secondary cohort). A longer maintenance period of ezetimibe was significantly related to better efficacy in the composite cardiovascular outcomes. High-intensity statin monotherapy was associated with an elevated risk of liver, muscle, and diabetes-related hospitalization in the primary prevention cohort.

Conclusion: Initial therapy with a statin-ezetimibe combination is associated with a reduced risk of cardiovascular events and fewer adverse events compared to statin monotherapy in individuals with diabetes, over a mean follow-up of 5.5 years (up to 9 years).

Backgruound: The autonomic nervous system plays a crucial role in the brain's communication with metabolically important peripheral organs, modulating insulin sensitivity and secretion. Increased sympathetic tone is a common feature in prediabetes and diabetes. The parasympathetic nervous system activity might be improvable through resonance frequency breathing (RFB) with heart rate variability biofeedback (HRV-BF) training.

Methods: We here investigated the effect of a 4-week mobile RFB-HRV-BF intervention on glucose metabolism and HRV of 30 healthy adults (17 females; mean age 25.77±3.64 years; mean body mass index 22.65±2.95 kg/m2). Before and after the intervention, glucose metabolism was assessed by 75 g oral glucose tolerance tests (with blood sampling every 30 minutes over 2 hours) and HRV was measured through electrocardiography.

Results: RFB-HRV-BF training did not influence glucose metabolism in healthy adults but reduced fasting as well as 2-hour-postload glucose in participants categorized as more insulin resistant before the intervention. In addition, RFB-HRV-BF training was associated with an increase in the time and frequency domain HRV parameters standard deviation of all NN-intervals, root mean square successive differences, HRV high-frequency and HRV low-frequency after 4 weeks of intervention.

Conclusion: Our findings introduce RFB-HRV-BF training as an effective tool to modulate the autonomic nervous system with a shift towards the parasympathetic tone. Along with the observed decrease in glycemia in those with lower insulin sensitivity, RFB-HRV-BF training emerges as a promising non-pharmacological approach to improve glucose metabolism which has to be further investigated in prediabetes and diabetes.