Changes in Cardiac Metabolism in Prediabetes

Association of ethylene oxide exposure with all-cause mortality risk among adult population with different stages of diabetes progression

The actual effects of ethylene oxide (EO) exposure on diabetes population are unknown. This prospective study aimed to examine the association of EO with all-cause mortality risk among adults with different stages of diabetes progression. Study participants were selected from NHANES 2013-2018. The mortality was ascertained through linkage to National Death Index files. Data were analyzed using weighted Cox proportional regressions to examine the associations of hemoglobin adducts of EO (HbEO) with all-cause mortality risk. Restricted cubic spline was applied to flexibly model the non-linear association. Results showed the median of follow-up period was 48.0 months. The participants with diabetes had the highest mortality (p = 0.001). The association of all-cause mortality risk with HbEO was overall positive among diabetes (weighted covariates-adjusted HR: 1.089, 95% CI: 1.028-1.155) but not non-diabetes participants. Among diabetes participants, the association was non-linear (p for non-linearity test: 0.023) and was non-significant when the HbEO level was higher than 310.24 pmol/g Hb. In conclusion, EO may increase the mortality risk among diabetes population through aggravating the diabetes-mediated metabolic disorders. The non-linear association found for the first time may reflect the complex physiological effects of the enzymes that contribute to EO endogenous formation or metabolism.

Energy stress induced cardiac autophagy detection via a chronic and dynamic cardiomyocytes-based biosensing platform

Hypoglycemia is a common complication which occurs during the treatment of diabetes, closely associated with cardiovascular events. A sudden decrease in blood glucose increases the risk of arrhythmia, which can lead to sudden cardiac death. This event is usually accompanied by abnormal electrophysiological activities in cardiomyocytes. However, traditional models do not efficiently reflect real-time cardiomyocyte electrophysiological changes under various glucose deprivation conditions in a large-scale and high-throughput manner. Therefore, we need to develop a new biosensing platform to aid in related scientific research. In this study, a cardiomyocyte-based biosensor was developed for real-time, noninvasive monitoring of the electrophysiological responses of cardiomyocytes under different glucose concentrations. The findings show that low-glucose conditions result in abnormal electrophysiology in cardiomyocytes, but autophagy enables cells to survive this adversity. Inhibition of autophagy exacerbates electrophysiological abnormalities, and long-term glucose starvation causes irreversible damage to cardiomyocytes. The proposed chronic and dynamic cardiomyocyte-based biosensing platform provides a new tool for understanding the effects of hypoglycemia on the in vitro cardiomyocyte-based heart model, revealing that autophagy has the potential to be an alternative treatment for diabetes and hypoglycemia.

Molecular mechanisms of metabolic dysregulation in diabetic cardiomyopathy

Diabetic cardiomyopathy (DCM), one of the most serious complications of diabetes mellitus, has become recognized as a cardiometabolic disease. In normoxic conditions, the majority of the ATP production (>95%) required for heart beating comes from mitochondrial oxidative phosphorylation of fatty acids (FAs) and glucose, with the remaining portion coming from a variety of sources, including fructose, lactate, ketone bodies (KB) and branched chain amino acids (BCAA). Increased FA intake and decreased utilization of glucose and lactic acid were observed in the diabetic hearts of animal models and diabetic patients. Moreover, the polyol pathway is activated, and fructose metabolism is enhanced. The use of ketones as energy sources in human diabetic hearts also increases significantly. Furthermore, elevated BCAA levels and impaired BCAA metabolism were observed in the hearts of diabetic mice and patients. The shift in energy substrate preference in diabetic hearts results in increased oxygen consumption and impaired oxidative phosphorylation, leading to diabetic cardiomyopathy. However, the precise mechanisms by which impaired myocardial metabolic alterations result in diabetes mellitus cardiac disease are not fully understood. Therefore, this review focuses on the molecular mechanisms involved in alterations of myocardial energy metabolism. It not only adds more molecular targets for the diagnosis and treatment, but also provides an experimental foundation for screening novel therapeutic agents for diabetic cardiomyopathy.

The Associations of Vitamin D Level with Metabolic Syndrome and Its Components Among Adult Population: Evidence from National Health and Nutrition Examination Survey 2017-2018

Background and Purpose: Vitamin D can both stimulate and inhibit adipogenesis, indicating that associations of the vitamin D level with some metabolic disorders may be nonlinear. This cross-sectional study aims to explore potential nonlinear associations of the 25-hydroxy vitamin D [25(OH)D] level with metabolic syndrome (MetS) and its components. Methods: Adults without previously diagnosed specific noncommunicable disease were selected from the National Health and Nutrition Examination Survey 2017-2018 (n = 870). Their demographic, physical, and laboratory data were obtained. The associations of serum 25(OH)D with MetS and its components were analyzed using logistic regression. Restricted cubic spline was applied to flexibly model the nonlinear association if the nonlinearity test was statistically significant. Results: The 25(OH)D level was inversely associated with risk of MetS [adjusted odds ratio (OR) = 0.986; 95% confidence interval (CI) = 0.978-0.993] and most MetS components, but not with the risk of raised triglycerides (adjusted OR = 0.996; 95% CI = 0.988-1.005). The association of serum 25(OH)D with central obesity risk was significantly nonlinear (P for the nonlinearity test: 0.037). The OR for risk of central obesity decreased rapidly with increase in serum 25(OH)D concentration until the concentration reached 50 nmol/L, and then, the intensity of decrease in OR slowed down. Conclusions: Vitamin D is inversely associated with MetS, but not all MetS components. A nonlinear association between the vitamin D level and risk of central obesity has been found for the first time among the adult population, which reflects the complex roles of vitamin D in lipid metabolism. Although vitamin D deficiency (<50 nmol/L) was defined to avoid abnormal calcium and phosphorus metabolism, preventing its deficiency may also be beneficial for reduction of central obesity risk.

The association of prediabetes with dietary patterns, life behavior and cardiovascular risk factors among adult population without previously diagnosed non-communicable diseases

BACKGROUND AND AIMS

Prediabetes and its risk factors are difficult to recognize because there may be no clear symptoms in that stage of diabetes mellitus (DM) progression. This cross-sectional study aims to examine associations between prediabetes and potential risk factors among adult population without previously diagnosed non-communicable diseases.

METHODS AND RESULTS

Study participants (n = 30823) were selected all over China. Their dietary, life behavior and laboratory data were obtained through questionnaires, physical examination or biochemical measurement. Factor analysis was applied to identify dietary patterns. Non-proportional odds model was applied to analyze associations between those data and stages of DM progression. The prevalence of prediabetes and DM was 20.6% and 4.5%, respectively. Two dietary patterns were identified: the first pattern was characterized by high consumption of diverse plant- and animal-based food items, and the second pattern was characterized by high consumption of starchy food items. The risk of prediabetes was inversely associated with sufficient sleep duration (OR: 0.939, 95% CI: 0.888-0.993) and the second pattern (OR: 0.882, 95% CI: 0.850-0.914), but not significantly associated with the first pattern (OR: 1.030, 95% CI: 0.995-1.067). High density lipoprotein cholesterol was inversely associated with DM risk (OR: 0.811, 95% CI: 0.667-0.986) but not prediabetes (OR: 1.035, 95% CI: 0.942-1.137).

CONCLUSIONS

The prevalence of undetected prediabetes was high among adult population, and some factors may exert different effects on different stages of DM progression. Dietary diversity, which was reflected by the first pattern to a certain extent, may be not significantly associated with risk of prediabetes.

Total Antioxidant Capacity and Prediabetes Are Associated with Left Ventricular Geometry in Heart-Failure Patients with Reduced Ejection Fraction: A Cross-Sectional Study

Introduction: Few studies explored the association between total antioxidant capacity (TAC) and left ventricular (LV) geometry in patients with heart failure and reduced ejection fraction (HFrEF). The current study aimed to assess factors associated with LV geometry in HFrEF patients with particular emphasis on oxidative stress and glycemic status. Methods: A cross-sectional study was conducted from July 2021 to September 2022. All consecutive patients with HFrEF who were stabilized on optimal or maximally tolerated heart failure medications were recruited. Patients were classified into tertiles based on TAC and malondialdehyde for correlation with other parameters. Results: TAC was significantly associated with LV geometry (P = 0.01), with higher TAC levels observed in patients with normal LV geometry (0.95 ± 0.08) and concentric hypertrophy (1.01 ± 0.14) than in patients with eccentric hypertrophy (EH) (0.90 ± 0.10). There was a significant positive trend in the association between glycemic state and LV geometry (P = 0.002). TAC showed a statistically significant positive correlation with EF (r = 0.29, P = 0.0064) and a negative correlation with LV internal diameter at end diastole (r = -0.26, P = 0.014), LV mass index (r = -0.25, P = 0.016), and LV mass (r = -0.27, P = 0.009). After adjusting for multiple confounders, prediabetes [odds ratio (OR) = 4.19, P = 0.032] and diabetes (OR = 7.47, P = 0.008) were associated with higher odds of EH than normoglycemic patients. A significant inverse trend was also observed in the association between TAC tertile and the odds of LV geometry (OR = 0.51, P = 0.046). Conclusions: TAC and prediabetes are significantly associated with LV geometry. TAC can be used as an additional marker in HFrEF patients to reflect the severity of the disease. Interventions aimed at managing oxidative stress might be useful in HFrEF patients to reduce oxidative stress and improve LV geometry and quality of life. Trial Registration Number: This study is part of an ongoing randomized clinical trial (ClinicalTrials.gov identifier NCT05177588).

Association between 1,5-anhydro-D-sorbitol, Insulin, and Incretins in Patients with Pre-diabetes and ST-elevation Myocardial Infarction

BACKGROUND: Prediabetes itself could be an independent predictor of such adverse cardiovascular events as myocardial infarction and ischemic stroke. Since prediabetes is linked with hyperinsulinism it could also cause fluctuations of incretins concentration. Another significant fact related to prediabetes is glycemic variability. The impact of these factors on prediabetes and acute myocardial infarction is a promising phenomenon to study. AIM: The study aims to estimate insulin, incretins, and glycemic variability in patients with impaired carbohydrate metabolism and acute myocardial infarction METHODS: The 255 prediabetes patients participated in the observational case-control study. The first group included 85 patients hospitalized for STEMI. The second group included 170 patients without STEMI. Insulin and incretins were measured using a multiplex immunological assay with XMap technology on Bioplex 3D. The high-performance liquid chromatography with mass spectrometry was used to evaluate 1,5-AG concentration. The binary logistic regression was performed to evaluate the association between studying parameters and STEMI.  RESULTS: The insulin secretion parameters showed higher insulin and C-peptide level in patients with STEMI. A similar trend was noted for the HOMA-IR index. Among incretin, we revealed a higher level of glucagon and reduced GLP-1 in patients with STEMI. The of 1,5-AG in STEMI patients was significantly lower than in non-STEMI patients. The logistic regression model shows that a lower plasma concentration of 1,5-AG increases the odds of STEMI in patients with prediabetes [OR 2.304 (95% CI 1.980–2.973), p = 0.018]. Reduced GLP-1 concentration also increased the odds of STEMI [OR 1.775 (95% CI 1.460-1.990), p = 0.001]. CONCLUSION: We discovered the association between 1,5-AG, GLP-1, and STEMI in patients with prediabetes. It is designating their potential role as cardiovascular risk markers in non-diabetic patients with impaired glucose metabolism.