Accumulating experimental evidence has shown that resveratrol supplementation is effective for treating diabetic nephropathy (DN) in animal models. In this systematic review and meta-analysis, we assessed the effects and multiple mechanisms of resveratrol in animal models of DN.
Before September 2023, preclinical literature was systematically searched and screened across PubMed, Web of Science, EMBASE, and the Cochrane Library. Forty-two studies were included, and the risk of bias tool from SYRCLE was used to assess the methodological quality. Pooled overall effect sizes of the results were generated by STATA 16.0.
The overall results provide preliminary evidence that the consumption of resveratrol can significantly reduce the mesangial index, glomerular basement membrane thickness, glomerular hypertrophy, serum creatinine, blood urea nitrogen, 24-h urinary protein, blood glucose, kidney index, total cholesterol, triglyceride, and low-density lipoprotein cholesterol levels. In contrast, the levels of albumin and high-density lipoprotein cholesterol are significantly increased. However, resveratrol did not significantly reduce creatinine clearance or glycated hemoglobin levels. Dose–response analysis revealed that resveratrol was most effective at improving kidney function and reducing DN when administered at lower doses of ≤15 mg/kg/day or higher doses of 100–200 mg/kg/day, with significant improvements in biochemical kidney injury markers and a better effect on dysglycemia.
The benefits of resveratrol in DN are likely due to its anti-inflammatory, antioxidant, metabolic regulatory, and autophagy-promoting effects. To confirm these findings for clinical use, further large-scale, long-term, high-quality preclinical trials are warranted to accurately assess the anti-DN effects and safety of resveratrol.
Glycated albumin (GA) is a biomarker monitoring glycemia 2–4 weeks before stroke onset. This study was designed to explore the association between GA levels with poststroke outcomes in patients with acute ischemic stroke or transient ischemic attack (TIA).
Participants with ischemic stroke or TIA who had a baseline GA measurement were included in the Third China National Stroke Registry study. The effect of GA on stroke recurrence, poor functional outcomes, and combined vascular events was examined during the 1-year follow-up period. Multivariate Cox and logistic regression models were performed to evaluate the association. Discrimination tests were used to examine the incremental predictive value of GA when incorporating it into the conventional model.
A total of 3861 participants were enrolled. At the 3-month follow-up, the elevated GA level was associated with an increased risk of poor functional outcomes (adjusted odds ratio [OR], 1.45; 95% confidence interval [CI], 1.01–2.09). A similar increase was observed for stroke recurrence (adjusted hazard ratio [HR], 1.56; 95% CI, 1.09–2.24), poor functional outcomes (adjusted OR, 1.62; 95% CI, 1.07–2.45), and combined vascular events (adjusted HR, 1.55; 95% CI, 1.09–2.20) at the 1-year follow-up. In nondiabetic patients, the association between GA and poor functional outcomes was more pronounced (adjusted OR, 1.62; 95% CI, 1.05–2.50). Adding GA into the conventional model resulted in slight improvements in predicting poor functional outcomes (net reclassification improvement [NRI]: 12.30% at 1 year).
This study demonstrated that elevated GA levels in serum were associated with stroke adverse outcomes, including stroke recurrence, poor functional outcomes, and combined vascular events, in patients with ischemic stroke or TIA.
Highlights
Glycemic control is crucial in peritoneal dialysis (PD) patients with diabetes. Although fasting blood glucose (FBG) is the most commonly used index to measure blood glucose levels, there is currently no evidence supporting the association between FBG level and mortality risk in PD patients.
A total of 3548 diabetic PD patients between 2002 and 2018 were enrolled from the National Health Insurance Service database of Korea. We investigated the association between FBG levels and the risk of all-cause and cause-specific mortality.
Patients with FBG levels 80–99 mg/dL exhibited the highest survival rates, whereas those with FBG levels ≥180 mg/dL had the lowest survival rates. Compared with FBG levels 80–99 mg/dL, the adjusted hazard ratios and 95% confidence interval for all-cause mortality significantly increased as follows: 1.02 (0.87–1.21), 1.41 (1.17–1.70), 1.44 (1.18–2.75), and 2.05 (1.73–2.42) for patients with FBG 100–124 mg/dL, FBG 125–149 mg/dL, FBG 150–179 mg/dL, and FBG ≥180 mg/dL, respectively. The risk for all-cause mortality also showed an increasing pattern in patients with FBG levels <80 mg/L. The risk of cardiovascular death significantly increased as FBG levels exceeded 125 mg/dL. However, the risk of infection-related and malignancy-related deaths did not show a significant increase with increasing FBG levels.
There was an increase in the risk of all-cause mortality as FBG levels exceeded 125 mg/dL in PD patients with diabetes, and the risk of cardiovascular death showed a strong correlation with FBG levels compared with other causes of death.
This study aimed to test the efficacy of patient-centered self-management intervention (PACE-SMI) to improve HbA1c, self-efficacy, and self-care behaviors in adults with type 2 diabetes mellitus (T2DM).
In this multicenter, parallel two-arm randomized controlled trial, 612 adults with T2DM and HbA1c ≥ 7% were enrolled and assigned to the control group (n = 310) and the intervention group (n = 302) using stratified permuted block randomization. The control group received usual care, whereas the intervention group received usual care plus nurse-led, theory-driven, culturally tailored PACE-SMI, comprising eight weekly sessions of individualized education, counseling, behavioral training, and home visit. Outcomes were assessed at baseline, postintervention, and 3 months follow-up.
Data at 3 months were provided by 583 participants (control: n = 295, intervention: n = 288). Per-protocol analysis showed that the intervention group had a lower mean HbA1c (8.49% [standard deviation (SD), 1.58]) than the control group (8.74% [SD, 1.62]), with small yet statistically significant mean difference of 0.25% (95% confidence interval [CI], −0.01 to 0.51; Cohen's d = 0.16; p = 0.03). Self-efficacy and self-care behaviors significantly improved in the intervention group (116.89 [SD, 25.50] and 70.01 [SD, 17.97]) compared to the control group (75.43 [SD, 18.99] and 51.54 [SD, 12.04]), with mean differences of 41.48 (95% CI, 37.83–45.13; Cohen's d = 1.84; p < 0.0001) and 18.56 (95% CI, 16.08–21.04; Cohen's d = 1.22; p < 0.0001), respectively. Linear regression analysis indicated the effect of PACE-SMI on HbA1c was significantly mediated by improvements in self-efficacy and self-care behaviors (R2 = 0.232, p < 0.001).
PACE-SMI led to modest but significant improvement in HbA1c and substantial enhancements in self-efficacy and self-care behaviors in adults with T2DM.
The study aims to describe the role of diabetes in patients with heart failure.
In all, 1052 chronic heart failure patients were included in the FARmacology and NeuroHumoral Activation (FAR NHL) multicenter prospective registry. They had ejection fraction below 50% and were on stable medication for at least 1 month.
More than one-third (38.9%) of the patients had diabetes mellitus (DM). Diabetic patients (N = 409) were older (median 67 vs. 64, p < 0.001), had higher body mass index (BMI) (30 vs. 28 kg/m2, p < 0.001), much more frequently had ischemic heart disease (71 vs. 47%, p < 0.001), hypertension (80 vs. 67%, p < 0.001), dyslipidemia (89 vs. 69%, p < 0.001), worse renal function (estimated glomerular filtration rate [eGFR] median 63 vs. 73 mL/min/1.73 m2, p < 0.001), and higher N-terminal pro-brain natriuretic peptide (NT-proBNP) (median 681 vs. 463 pg/mL, p = 0.003). All-cause death, left ventricle assist device implantation, and orthotopic heart transplantation were set as the combined primary end point, which was present in 15.5% (163 patients) within the 2-year follow-up. In the 2-year follow-up, 81.0% of patients with diabetes survived without a primary end point, while 85.4% of the patients without diabetes survived, the difference being on the verge of statistical significance (p = 0.089). DM is a statistically significant predictor of NT-proBNP value in univariate analysis, but it is not an independent predictor in a multivariate analysis. When the NT-proBNP level was high, the presence of DM did not influence the prognosis.
The combination of diabetes and NT-proBNP levels may better stratify the prognosis of patients with chronic heart failure.
Beta 2-microglobulin (β2-MG) is a component of the class I major histocompatibility complex (MHCI) and has recently been reported to be involved in type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, the association of β2-MG with left ventricular hypertrophy (LVH) in T2DM patients remains unknown. This study aims to investigate the correlation between serum β2-MG and LVH in T2DM patients.
The retrospective analysis included 4602 eligible T2DM patients, divided into LVH and non-LVH groups based on echocardiography results. Serum β2-MG levels were measured, and participants were categorized into four groups (Q1–Q4) by their serum β2-MG quartile. The relationship of serum β2-MG level with LVH was evaluated using logistic regression, restricted cubic spline (RCS), subgroup analysis, and machine learning.
The prevalence of LVH in T2DM patients was 31.12%. Each standard deviation increase in serum β2-MG level corresponded to a 1.17-fold increase in the prevalence of LVH [OR = 1.17, (95% CI: 1.05–1.31); p = 0.006]. When considering β2-MG as a categorical variable (quartile), Q3 [OR = 1.36, (95% CI: 1.09–1.69); p = 0.007] and Q4 [OR = 1.77, (95% CI: 1.36–2.31); p < 0.001] had a significantly higher prevalence of LVH than Q1. RCS analysis found a nonlinear association between β2-MG and LVH prevalence (p for nonlinearity <0.05). Additionally, machine learning results confirmed the importance of β2-MG for LVH in T2DM patients.
Elevated serum β2-MG levels were likely to be associated with an increased prevalence of LVH in T2DM patients, suggesting its potential role in LVH development.
This study aimed to investigate the potential differences in the influence of impaired glucose tolerance (IGT) with and without metabolic syndrome (MetS) on cardiovascular (CV) events and mortality.
Participants having IGT with MetS (IGT_MetS), those having IGT without MetS (IGT_non_MetS), and those having normal glucose tolerance (NGT) without MetS (NGT_non_MetS) (N = 246, N = 294, and N = 471, respectively) were included in this study. Cox proportional hazards regression was used to examine the relationship among these three groups and CV events and mortality.
Over the 30-year follow-up period, 57 (12.1%) participants having NGT_non_MetS, 55 (18.71%) with IGT_non_MetS, and 74 (30.08%) with IGT_MetS experienced CV mortality. After adjusting for risk factors, the hazard ratios for CV mortality were 2 (95% confidence interval [CI], 1.38–2.91) for the IGT_non_MetS group and 2.96 (95% CI, 2.09–4.19) for the IGT_MetS group, compared with the NGT_non_MetS group. Similar patterns were observed for CV events, with hazard ratios of 1.49 (95% CI, 1.19–1.88) for the IGT_non_MetS group and 1.97 (95% CI, 1.58–2.47) for the IGT_MetS group. Sensitivity analysis revealed that the hazard ratios of the IGT_non_MetS and IGT_MetS groups indicated a higher risk of all-cause mortality, myocardial infarction events or myocardial infarction mortality, and stroke events or stroke mortality compared with that of the NGT_non_MetS group.
IGT_non_MetS increased the risk of CV mortality and events. Furthermore, when it occurred in conjunction with MetS, it further increased the risk of CV mortality and events. This suggested that active intervention is required.
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