Association between insulin resistance and the development of cardiovascular disease

Beyond Traditional Body Composition Metrics: Load-Capacity Indices Emerge as Predictors of Cardiometabolic Outcomes - A Systematic Review and Meta-Analysis

The adaptive and independent interrelationships between different body composition components have been identified as crucial determinants of disease risk. Based on this concept, the load-capacity model of body composition, which utilizes measurements obtained through non-anthropometric techniques such as dual-energy X-ray absorptiometry (DXA), was proposed. This model is typically operationalized as the ratio of metabolic load (adipose mass) to metabolic capacity (lean mass). In recent years, a series of load-capacity indices (LCIs) have been utilized to identify abnormal body composition phenotypes such as sarcopenic obesity (SO) and to predict the risk of metabolic, cardiovascular, and cognitive disorders. In this review, we comprehensively review the characteristics of different LCIs used in previous studies, with a specific focus on their applications, especially in identifying SO and predicting cardiometabolic outcomes. A systematic literature search was performed using PubMed, MEDLINE, PsycINFO, Embase, and the Cochrane Library. Two meta-analyses were conducted to: (1) estimate the overall prevalence of SO mapped by LCIs, and (2) assess the association of LCIs with cardiometabolic outcomes. A total of 48 studies (all observational) were included, comprising 22 different LCIs. Ten studies were included in the meta-analysis of SO prevalence, yielding a pooled prevalence of 14.5% (95% CI: 9.4% to 21.6%). Seventeen studies were included in the meta-analysis of the association between LCIs and adverse cardiometabolic outcomes, which showed a significant association between higher LCI values and increased risk (OR = 2.22; 95% CI: 1.81 to 2.72) of cardiometabolic diseases (e.g., diabetes and metabolic syndrome [MetS]). These findings suggest that the load-capacity model of body composition could be particularly useful in the identification of SO cases and prediction of cardiometabolic risk. Future longitudinal studies are needed to validate the association of LCIs with chronic cardiometabolic and neurodegenerative diseases. This systematic review and meta-analysis has been registered with PROSPERO (CRD42024457750).

Frameshift variation in the HMG-CoA reductase gene and unresponsiveness to cholesterol-lowering drugs in type 2 diabetes mellitus patients

Dyslipidemia, an imbalance in blood lipid levels, is a frequent complication of type 2 diabetes mellitus (DM2) and heightens the risk of cardiovascular diseases (CVDs). Statins, which inhibit 3-hydroxy-3-methylglutaryl-CoA reductase, are potent competitive inhibitors that reduce plasma cholesterol levels. However, individual responses to statins can vary markedly, possibly due to genetic variations in the 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) gene. This study aimed to investigate the pharmacogenetic relationship between the HMGCR gene and hypercholesterolemia in type 2 diabetes mellitus patients who respond differently to atorvastatin, as well as in healthy individuals. Ninety participants were involved, including sixty with type 2 diabetes mellitus and hypercholesterolemia, and thirty healthy individuals. They were randomly assigned to three groups: responsive (received atorvastatin 40 mg), non-responsive (also received atorvastatin 40 mg), and control. Both responsive and non-responsive groups underwent fasting. Biochemical tests were conducted, followed by genetic analysis to identify mutations in the HMGCR gene. The effects of statins in each group were assessed using analysis of variance (ANOVA) and post hoc Tukey's Honestly Significant Difference (HSD) analysis. Atorvastatin 40 mg was administered to assess its efficacy in reducing cholesterol levels in patients with hypercholesterolemia and type 2 diabetes mellitus. The control group exhibited similar cholesterol levels to the responsive group (cholesterol < 200 mg/dl). However, both control and responsive groups significantly differed from the non-responsive group, which had markedly elevated cholesterol levels (> 240 mg/dl). Genetic analysis revealed a cytosine nucleotide insertion in the catalytic domain of the HMGCR gene in only two non-responsive participants to atorvastatin 40 mg therapy. These two patients showed non-responsiveness to atorvastatin 40 mg due to a genetic mutation in the HMGCR gene. This mutation altered the amino acid sequence in the flap domain, replacing isoleucine with a stop codon. As a result, translation was prematurely terminated, leading to the production of truncated proteins.

The predictive value of estimated glucose disposal rate and its association with myocardial infarction, heart failure, atrial fibrillation and ischemic stroke

AIMS

The relationship between the incidence of major cardiovascular diseases (CVDs) and estimated glucose disposal rate (eGDR), a proxy measurement for insulin resistance (IR), is not well understood in the general population. The predictive value of eGDR and other proxies of IR for CVD incidents have not been examined in previous studies. This study aimed to investigate the association between eGDR and various CVD events, including myocardial infarction (MI), heart failure (HF), atrial fibrillation (AF) and ischemic stroke. Additionally, the predictive values of eGDR, triglyceride-glucose (TyG) index, TyG-waist circumference (WC), TyG-body mass index (BMI), TyG-waist-to-height ratio (WHtR), triglyceride (TG)-to-high density lipoprotein cholesterol (HDL-C) ratio (TG/HDL-C) and the metabolic score for insulin resistance (METS-IR) for CVD events were compared.

METHODS

The study population was extracted from the UK Biobank, and the CVD events were documented by linking to hospital records. Cox proportional hazards model and the restricted cubic spline model were used to assess the association between eGDR and the risk of CVDs with adjustment for potential confounders. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to compare the predictive values of eGDR, TyG, TyG-WC, TyG-BMI, TyG-WHtR, TG/HDL-C and METS-IR.

RESULTS

A total of 360 953 participants were included in this study. During a median follow-up of 13.8 years, 12 698 MI, 10 360 HF, 23 638 AF and 6512 ischemic stroke events were documented. Compared with participants in the lowest quartile category of eGDR, those in the highest quartile category had the adjusted hazard ratio (HR) and 95% confidence interval (CI) of 0.59 (0.51-0.67) for MI, 0.66 (0.56-0.76) for HF, 0.88 (0.80-0.98) for AF and 0.73 (0.61-0.89) for ischemic stroke. eGDR outperformed TyG, TyG-WC, TyG-BMI, TyG-WHtR, TG/HDL-C and METS-IR in terms of predicting MI (AUC: 0.661), HF (AUC: 0.690), AF (AUC: 0.653) and ischemic stroke (AUC: 0.646).

CONCLUSIONS

eGDR was inversely associated with the incidence of MI, HF, AF and ischemic stroke in the general population. eGDR could serve as a more valuable predictive indicator than TyG, TyG-WC, TyG-BMI, TyG-WHtR, TG/HDL-C and METS-IR for CVD events in clinical practice.

Association between estimated glucose disposal rate and subclinical coronary atherosclerosis

BACKGROUND AND AIMS

The estimated glucose disposal rate (eGDR) is an easily accessible clinical parameter for assessing insulin resistance in patients with diabetes mellitus. In this study, we aimed to investigate the link between eGDR and subclinical coronary atherosclerosis in an asymptomatic middle-aged Korean population.

METHODS AND RESULTS

This study involved 4004 subjects who underwent routine health checkups with coronary multidetector computed tomography (MDCT) at Asan Medical Center from 2007 to 2011, among whom 913 had a follow-up analysis through 2014. The eGDR was calculated using: 21.16 - (0.09 ∗ waist circumference [cm]) - (3.41 ∗ hypertension) - (0.55 ∗ glycated hemoglobin [%]). Patients were categorized into three groups according to the tertiles of eGDR. Subclinical coronary atherosclerosis was defined by significant coronary stenosis (≥50%), presence of plaques, coronary artery calcification (CAC) score, and its progression. As a result, a lower eGDR level was associated with higher prevalence of significant coronary stenosis, plaques, moderate to severe CAC, and CAC progression. Compared to other markers or risk scores, eGDR was superior to other biomarkers of insulin resistance but did not provide additional information beyond classic cardiovascular risk models like the Framingham Risk Score and Pooled Cohort Equations.

CONCLUSION

Decreased eGDR values were significantly associated with higher subclinical coronary atherosclerosis burdens in an asymptomatic middle-aged Korean population. However, its clinical implications remain uncertain due to its weaker performance compared to established cardiovascular risk models.

The relationship between depression and insulin resistance in the population without diabetes: Results from the 2005-2016 NHANES

BACKGROUND

Insulin resistance (IR), a precursor of type 2 diabetes and other metabolic disorders, is becoming more common owing to rising obesity rates. Depression, which affects 4.4 % of the global population, has been linked to IR; however, the findings are inconsistent. The roles of moderating factors in the depression-IR relationship remain underexplored, creating a gap in the current understanding.

METHODS

Data from six cycles of the National Health and Nutrition Examination Survey (NHANES, 2005-2016), including 6636 participants without diabetes, were analyzed. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), with scores of 5-9 and 10-27 defined as mild and moderate-to-severe depression, respectively. IR was measured using the HOMA2-IR model, with IR defined as a value of ≥ 2.3. Weighted generalized linear models (GLMs) were used to investigate the relationship between depression and IR. Stratified analyses were used to evaluate the potential moderators.

RESULTS

After adjusting for demographic factors and metabolic indicators, the results of GLMs analysis showed that moderate-to-severe depression significantly increased the odds of IR (OR = 1.65, 95 % CI: 1.04-2.61, p = 0.035), especially in non-Hispanic White individuals (OR = 2.64, 95 % CI: 1.39-5.00, p = 0.004). Antidepressant use also reduced this association.

CONCLUSION

Moderate-to-severe depression was significantly associated with IR, and race/ethnicity and antidepressant use were important moderators. These findings underscore the need for targeted interventions to address both mental and metabolic health risks in high-risk populations.

Influence of rosiridin on streptozotocin-induced diabetes in rodents through endogenous antioxidants-inflammatory cytokines pathway and molecular docking study

The research was undertaken to assess the antidiabetic activity of rosiridin in the streptozotocin (STZ)-induced diabetic model. Type 2 diabetes mellitus was elicited chemically in experimental animals using STZ (60 mg/kg, i.p.). Experimental rats were arbitrarily allocated to normal control, rosiridin perse, diabetic control, and STZ + rosiridin groups. After the confirmation of diabetes, rosiridin (10 mg/kg) was given orally to the experimental animals for 30 days. Various anti-diabetic (blood glucose, insulin), hypolipidemic, anti-inflammatory (Nuclear factor kappa B, tumour necrosis factor-α, interleukin beta (IL-1β), and IL-6), antioxidant (and malondialdehyde level, hepatic function and others markers (ALT, AST, adiponectin, and FNDC5) and histopathological indices of injury were evaluated. In addition, the rosinidin was docked into the active site of NF-Kβ (1SVC), FNDC5 (4LSD) and adiponectin (5LXG) proteins with AutoDock tools. MD simulations were carried out for the complexes of rosiridin with NF-Kβ, myokine and human adiponectin receptor 1. Rosiridin treatment restored the biochemical parameters and preserved the histopathological building of the pancreas as compared to the diabetic rats. Histopathological analysis of the pancreas confirmed that rosiridin antidiabetic efficacy in the STZ-induced diabetes mellitus model. The 5LXG_rosinidin showed favourable affinity with the best binding energies at -7.534 kcal/mol. MD simulations were carried out for the complexes of rosiridin with NF-Kβ, myokine and human adiponectin receptor 1, the complex of myokine and rosiridin exhibited the most stable complex. Rosiridin may exhibit considerable anti-diabetic activity in the STZ-induced diabetes mellitus model.Communicated by Ramaswamy H. Sarma.

The association between Naples Prognostic Score and all-cause and cardiovascular mortality in the general population with metabolic syndrome: A cohort study

BACKGROUND AND AIM

The Naples prognostic score (NPS) is a recognized inflammatory and nutritional scoring system used as a prognostic indicator in various cancers and, more recently, in non-cancer diseases. Its association with mortality in individuals with Metabolic Syndrome (MetS) is understudied. This study aims to investigate the link between NPS and both all-cause and cardiovascular disease (CVD) mortality in adults with MetS.

METHODS AND RESULTS

This study included individuals with MetS from the National Health and Nutrition Examination Survey (NHANES) 1999-2016. Mortality data were linked to National Death Index records up to December 31, 2019. MetS was defined using NCEP ATP III criteria. NPS was calculated using serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio, classifying participants into three groups. Survival differences were assessed using Kaplan-Meier analysis and Log-rank tests. Cox proportional hazards regression determined hazard ratios (HR) with 95 % confidence intervals (CI). The study included 13,757 participants, with 2744 (19.95 %) in the low group, 9140 (66.44 %) in the medium group, and 1873 (13.61 %) in the high group. Over a median follow-up of 9.16 years, there were 3292 all-cause deaths and 1136 cardiovascular deaths. Compared to the low group, the high group had adjusted HRs of 1.74 (95 % CI: 1.51, 2.01) for all-cause mortality and 1.60 (95 % CI: 1.25, 2.04) for cardiovascular mortality (all P for trend <0.01).

CONCLUSIONS

NPS is a significant prognostic indicator for both all-cause and cardiovascular mortality in individuals with MetS, showing a positive correlation with mortality risk, reinforcing its potential clinical utility.

Fructose intake, endogenous biomarkers and latent metabolic construct in adolescents: Exploring path associations and mediating effects

BACKGROUND

Uric acid (UA) and homeostatic model assessment of insulin resistance (HOMA-IR) are endogenous biomarkers implicated in metabolic disorders and dysfunction.

OBJECTIVES

To investigate the structural associations between sugar-sweetened beverage intake (SSB), UA, HOMA-IR and adolescent latent MetS construct (MetsC) representing paediatric metabolic syndrome (MetS).

METHODS

A population-based representative adolescent cohort (n = 1454) was evaluated for risk profiles of MetS. Structural equation modelling was performed to identify multifactor structural associations between study parameters and evaluate mediating effects.

RESULTS

Adolescents had a single-factor latent construct representing MetS. Increased SSB intake was associated with higher UA and HOMA-IR levels, and the two biomarkers were positively associated with the MetsC score. UA and HOMA-IR exerted three mediating effects on the association between fructose-rich tea beverage (FTB) intake of >500 mL/day and MetsC: adjusted standardized coefficient and mediating effect (%), FTB → UA → MetsC: 0.071, 23.1%; FTB → HOMA-IR → MetsC: 0.034, 11.0%; FTB → UA → HOMA-IR → MetsC: 0.010, 3.1%. The UA-associated pathways accounted for 31.1% of the overall mediation on the association between bottled sugar-containing beverage intake and MetsC. After accounting for the UA- and HOMA-IR-derived detrimental effects, the fructose-rich tea beverage intake of >500 mL/day had a tea-related beneficial effect on MetsC, with an adjusted standardized coefficient of -0.103.

CONCLUSIONS

UA and HOMA-IR individually and jointly mediate the adverse effects of high fructose-rich SSB intake on the mechanisms underlying paediatric MetS. Fructose-free tea-based beverages may have a beneficial effect on latent MetS structure in adolescents.

Association between the triglyceride-glucose index and carotid artery plaque burden in patients with primary hypertension: A cross-sectional study

BACKGROUND

Studies have shown an association between the triglyceride-glucose (TyG) index and carotid artery plaque (CAP). However, the relationship between the TyG index and plaque burden in individuals with primary hypertension remains uncertain. Our study specifically aimed to explore this relationship among primary hypertension patients.

METHODS

This study involved 5,153 hospitalized patients diagnosed with primary hypertension who were undergoing treatment at the Affiliated Hospital of Jiangxi University of Chinese Medicine. We utilized multivariate logistic regression, penalized spline regression, and generalized additive models to assess the association between the TyG index and CAP burden.

RESULTS

There were 2,400 patients with primary hypertension in all. The multivariate study, which took into account all covariables, showed a positive correlation between the TyG index and CAP (OR: 1.25, 95% CI: 1.04-1.5). When the TyG index was evaluated as quartiles, the risk of CAP in the Q3 and Q4 levels of the TyG index were 1.4 (95% CI: 1.03-1.91) and 1.54 (95% CI: 1.11-2.14) times greater than in the Q1 level after adjusting for all covariables (P for trend < .05). Regardless of whether the TyG index was used as a continuous variable or a categorical variable, it has no significant association with the risk of single plaque after adjusting for all confounders (p ≥ .05). The TyG index was found to be substantially correlated with the presence of multiple plaques when analyzed as a continuous variable (OR: 1.32, 95% CI: 1.09-1.59, p = .004). When the TyG index was evaluated as quartiles, the adjusted OR in Q3 and Q4 were 1.49 (95% CI: 1.06-2.1) and 1.67 (95% CI: 1.16-2.41), respectively, with Q1 as reference (P for trend = .005). The relationship between the TyG index and the presence of multiple plaques is also consistent in all subgroups.

CONCLUSION

The TyG index is positively associated with the presence of multiple plaques in patients with primary hypertension, whereas no association is found between the TyG index and the presence of a single carotid plaque.

Triglyceride to high density lipoprotein cholesterol ratio and major adverse cardiovascular events in ACS patients undergoing PCI

The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI. Survival analysis, Cox regression analysis and restricted cubic spline (RCS) were employed to assess the associations between TG/HDL-C ratio and the risk of major adverse cardiovascular events (MACE), all-cause death, cardiac death and all-cause bleeding events. Over a 12-month follow-up period, 638 (3.9%) patients experienced MACE while 2837 (16.1%) patients experienced bleeding events. The TG/HDL-C ratio exhibited significant positive correlations with the incidence of MACE, all-cause death and cardiac death; conversely it displayed significant negative correlations with the incidence of all-cause bleeding. Patients in the high quartile TG/HDL-C category demonstrated significantly higher risks for MACE compared to those in the low quartile category, with hazard ratio (HR) [95%confidence interval (CI)] of 1.46 (1.17-1.83); conversely, they showed significantly lower risks for all-cause bleeding compared to their counterparts in the low quartile group, with HR (95%CI) of 0.72 (0.65-0.81). The structure of subgroup analyses remained robust and consistent, with gender being the sole factor interacting with TG/HDL-C specifically in relation to MACE events (P for interaction = 0.037). A higher baseline TG/HDL-C ratio was associated with an elevated risk of MACE but a reduced risk of bleeding events in ACS patients undergoing PCI.

The Predictive Value of TyG Index and NLR for Risk of CHD and the Severity of Coronary Artery Lesions in Patients with Type 2 Diabetes Mellitus

Background

There is a paucity of research examining the Triglyceride-glucose (TyG) index and Neutrophil-to-lymphocyte ratio (NLR) in relation to the onset and severity of coronary heart disease (CHD) in individuals with type 2 diabetes mellitus (T2DM). This study aims to explore the relationship between these biomarkers and the risk of CHD in T2DM patients and clarify their association with the CHD severity.

Methods

A total of 518 patients with T2DM who underwent coronary angiography (CAG) were included and categorized into either the T2DM group or the T2DM combined with CHD group based on the angiographic findings. The association of the TyG index and NLR with CHD and its severity were validated by logistic regression analyses. The predictive efficacy of both biomarkers, individually and in combination, for CHD was evaluated using receiver operating characteristic (ROC) curves.

Results

Among the 518 patients with T2DM, 396 individuals were identified as having a combination of CHD of varying severity. Multifactorial logistic regression analysis showed that after adjusting for age, sex, smoking, hypertension, and history use of glucose- and lipid-lowering medications, both TyG index and NLR were risk factors for CHD in T2DM patients (TyG index: OR:3.89, 95% CI:2.60-5.82; NLR: OR:1.44, 95% CI:1.22-1.71; all P<0.05). The odds ratios(OR) for the highest tertile compared to the lowest tertile of TyG index and NLR were 3.61(95% CI:2.41-5.40) and 1.62(95% CI:1.25-2.09).The TyG index exhibited a significant correlation with CHD severity in T2DM patients (OR:2.96, 95% CI:1.19-7.32; P=0.019). The areas under the curve for TyG index and NLR alone, and in combination, to predict CHD were 0.717, 0.692, and 0.761, respectively (all P<0.001).

Conclusion

The TyG index and NLR were significantly associated with the occurrence of CHD in the T2DM population. The combined use of these two biomarkers enhances diagnostic accuracy, which is beneficial for the prevention of CHD.

Viscosol Treatment Ameliorates Insulin-Mediated Regulation of Dyslipidemia, Hepatic Steatosis, and Lipid Metabolism by Targeting PTP1B in Type-2 Diabetic Mice Model

Type 2 diabetes mellitus (T2DM), a metabolic disorder, has the hallmarks of persistent hyperglycemia, insulin resistance, and dyslipidemia. Protein-tyrosine phosphatase 1B (PTP1B) was found to be overexpressed in many tissues in the case of T2DM and involved in the negative regulation of insulin signaling. So, PTP1B inhibition can act as a therapeutic target for T2DM. Numerous studies claimed the anti-inflammatory, hypoglycemic, hepatoprotective, and hypolipidemic activities of Dodonaea viscosa. Previously, we generated the high-fat diet (HFD)-low dose streptozotocin (STZ)-induced diabetic male mice model and treated it with a PTP1B inhibitor (5, 7-dihydroxy-3, 6-dimethoxy-2- (4-methoxy-3- (3-methyl-2-enyl) phenyl)-4H-chromen-4-one), isolated from Dodonaea viscosa. In the current study, we aimed to investigate the De novo lipogenesis, adipocyte differentiation, augmentation of lipoproteins clearance, fatty acid uptake, antilipolysis activity, and hepatic steatosis of PTP1B inhibition in adipose and liver tissues of the HFD-STZ-induced diabetic mice model. We found the retrieval of normal morphology of adipocytes and hepatocytes in the compound-treated group. The biochemical parameters showed the gradual reduction of LDL, VLDL, TC, and TG in the serum of the compound-treated group. To further test our hypothesis, real-time PCR was performed, and data revealed the reduction of PTP1B and other inflammatory markers in both tissues, showing enhanced expression of insulin signaling markers (INSR, IRS1, IRS2, and PI3K). Our compound upregulated the adipogenic (PPARγ), lipogenic (SREBP1c, FAS, ACC, and DGAT2), lipoprotein clearance (LPL, LDLR, and VLDLR), fatty acid uptake (CD36 and FATP1), and lipid droplet forming (FSP27 and perilipin-1) markers expressions in adipocytes and downregulated in hepatocytes. Furthermore, we found elevated cholesterol efflux (in adipose and liver) and decreased lipolysis in adipocytes and elevated in hepatocytes. Hence, we can conclude that our compound protects the adipocytes from abrupt lipolysis and stimulates adipocyte differentiation. In addition, it plays a hepatic protective role by shifting clearance and uptake of lipoproteins and fatty acids to the peripheral tissues and retrieving the fatty liver condition.

The interplay of factors in metabolic syndrome: understanding its roots and complexity

Metabolic syndrome (MetS) is an indicator and diverse endocrine syndrome that combines different metabolic defects with clinical, physiological, biochemical, and metabolic factors. Obesity, visceral adiposity and abdominal obesity, dyslipidemia, insulin resistance (IR), elevated blood pressure, endothelial dysfunction, and acute or chronic inflammation are the risk factors associated with MetS. Abdominal obesity, a hallmark of MetS, highlights dysfunctional fat tissue and increased risk for cardiovascular disease and diabetes. Insulin, a vital peptide hormone, regulates glucose metabolism throughout the body. When cells become resistant to insulin's effects, it disrupts various molecular pathways, leading to IR. This condition is linked to a range of disorders, including obesity, diabetes, fatty liver disease, cardiovascular disease, and polycystic ovary syndrome. Atherogenic dyslipidemia is characterized by three key factors: high levels of small, low-dense lipoprotein (LDL) particles and triglycerides, alongside low levels of high-density lipoprotein (HDL), the "good" cholesterol. Such a combination is a major player in MetS, where IR is a driving force. Atherogenic dyslipidemia contributes significantly to the development of atherosclerosis, which can lead to cardiovascular disease. On top of that, genetic alteration and lifestyle factors such as diet and exercise influence the complexity and progression of MetS. To enhance our understanding and consciousness, it is essential to understand the fundamental pathogenesis of MetS. This review highlights current advancements in MetS research including the involvement of gut microbiome, epigenetic regulation, and metabolomic profiling for early detection of Mets. In addition, this review emphasized the epidemiology and fundamental pathogenesis of MetS, various risk factors, and their preventive measures. The goal of this effort is to deepen understanding of MetS and encourage further research to develop effective strategies for preventing and managing complex metabolic diseases.

Morin Ameliorates Myocardial Injury in Diabetic Rats via Modulation of Autophagy, Apoptosis, Inflammation, and Oxidative Stress

Background

Morin is a flavonol with beneficial effects on diabetic-related injuries. However, the effect of morin on diabetic cardiomyopathy and its association with autophagy, apoptosis, inflammation, and oxidative stress remains unclear. The current study aimed to reveal the mechanisms underlying morin-mediated protection against cardiac failure in diabetic rats.

Methods

Diabetic cardiomyopathy in albino Wistar rats was induced by streptozotocin (STZ). After treatment with a dose of 25, 50, and 100 mg/kg/day orally for the next 60 days, autophagic (p62, LC3, and BECN1), apoptotic (BCL2, CASP-3, and CASP9), inflammatory (IL-1β, IL-6, TNF-α), and oxidative stress (CAT, SOD, and MDA) markers in protein and gene levels as well as cardiac function tests were measured.

Results

The findings revealed that long-term morin treatment improved weight gain, lipid and glycemic profile, hypertension, and cardiac hypertrophy and fibrosis in diabetic rats compared to controls (p-value<0.001). Moreover, the upregulation of BCL-2, LC3, and BECN1 along with the downregulation of p62, CASP-3, and CASP-9 revealed that morin suppressed apoptosis and promoted autophagy in the cardiac tissue of rats with diabetes (p-value<0.05). Additionally, the reduction in IL-1β, IL-6, TNF-α, and MDA levels and the increment of SOD and CAT activity suggested that morin decreased inflammation and apoptosis in the heart of the rat models of diabetes (p-value<0.01).

Conclusion

These results may highlight the potential properties of morin as a therapeutic strategy for diabetic cardiomyopathy.

Terpene mixtures and metabolic syndrome in the US general population: exploring the mediating role of insulin resistance

BACKGROUND

Terpenes have been shown to have an effect on metabolic status. However, it is unclear how they are associated with the metabolic syndrome (MetS) and whether insulin resistance (IR) mechanisms are involved.

METHODS

This cross-sectional study included data from the National Health and Nutrition Examination Survey (2013-2014). Serum terpenes (α- pinene, β- pinene, and limonene) were quantified by gas chromatography-tandem mass spectrometry. MetS was diagnosed by lipid, glucose, blood pressure, and waist circumference criteria. IR status was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR) model and triglyceride-glucose index. Regression analysis models, mixed-effects models (weighted quantile sum regression models, quantile g-computation and Bayesian Kernel machine regression models), and mediation analysis were used for analysis.

RESULTS

Among 1563 U.S. general population (mean age 39.0 years), 447 (28.6%) had a diagnosis of MetS, and the median concentration was 0.08 ng/mL for α- pinene, 0.08 ng/mL for β- pinene, and 1.18 ng/mL for limonene. The terpene mixture showed positive joint association with MetS (OR = 1.454, 95%CI = 1.153, 1.833) and HOMA-IR (β = 0.569, 95%CI = 0.196, 0.942), with limonene contributing relatively large weights in both MetS (41.1%) and HOMA-IR (68.9%). Furthermore, HOMA-IR was positively associated with MetS (OR = 2.299, 95%CI = 1.888, 2.817) and its diagnostic components. When identified as a mediator, HOMA-IR accounted for approximately 15.8%, 20.0%, and 14.3% of the indirect effects between terpenes (α- pinene, β- pinene, and limonene) and MetS, respectively. The results were consistent when the IR biomarker was replaced by triglyceride-glucose index.

CONCLUSION

Serum terpenes were positively associated with MetS, which might be partially mediated by the mechanism of IR.

The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes

BACKGROUND

The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases.

METHODS

A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases".

RESULTS

This descriptive review included thirty prospective studies in addition to cross-sectional studies. Following adjustment for confounding variables, an elevated TyG index was associated with a significantly increased risk for the development of Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, and CVD. Also in limited studies, the TyG index was associated with endothelial dysfunction, increased oxidative stress and a pro-inflammatory phenotype.

CONCLUSION

Overall, our findings support the use of the TyG index as a valid biomarker to assess the risk of developing MetS, T2DM, as well as atherosclerotic cardiovascular disease.

Flavonoid Derivatives Isolated from Hypericum monogynum Ameliorate Insulin Resistance via Modulation of IRS-1/PI3K/Akt/FOXO1 Pathway in HepG2 Cells

In this study, two high-content flavonoid derivatives [3-8 biapigenin (HM 104) and quercetin-3-O-β-d-galactopyranoside (HM 111)] were obtained through the bioactivity-guided isolation of antidiabetic compounds from Hypericum monogynum flowers. HM 104 and HM 111 exhibited good glucose consumption in fatty acid-induced insulin-resistant HepG2 cells. Moreover, both active compounds enhanced glucose uptake by restoring the expression of key regulators of glucose metabolism, including insulin receptor substrate 1, phosphoinositide 3-kinase, protein kinase B, and glucose transporter type 4, and by mitigating the expression of forkhead box O1 and the factors involved in gluconeogenesis. They upregulate the phosphorylation of glycogen synthase kinase-3β, which may affect glycogen synthesis. Furthermore, the production of reactive oxygen species was decreased by the two compounds. This study provides novel mechanistic insights into the protective effects of flavonoid derivatives isolated from H. monogynum flowers in preventing and managing insulin resistance and associated metabolic disorders.

Spotlight on the Mechanism of Action of Semaglutide

Initially intended to control blood glucose levels in patients with type 2 diabetes, semaglutide, a potent glucagon-like peptide 1 analogue, has been established as an effective weight loss treatment by controlling appetite. Integrating the latest clinical trials, semaglutide in patients with or without diabetes presents significant therapeutic efficacy in ameliorating cardiometabolic risk factors and physical functioning, independent of body weight reduction. Semaglutide may modulate adipose tissue browning, which enhances human metabolism and exhibits possible benefits in skeletal muscle degeneration, accelerated by obesity and ageing. This may be attributed to anti-inflammatory, mitochondrial biogenesis, antioxidant and autophagy-regulating effects. However, most of the supporting evidence on the mechanistic actions of semaglutide is preclinical, demonstrated in rodents and not actually confirmed in humans, therefore warranting caution in the interpretation. This article aims to explore potential innovative molecular mechanisms of semaglutide action in restoring the balance of several interlinking aspects of metabolism, pointing to distinct functions in inflammation and oxidative stress in insulin-sensitive musculoskeletal and adipose tissues. Moreover, possible applications in protection from infections and anti-aging properties are discussed. Semaglutide enhancement of the core molecular mechanisms involved in the progress of obesity and diabetes, although mostly preclinical, may provide a framework for future research applications in human diseases overall.

Association between triglyceride-glucose index and cardiovascular disease in US adults with chronic kidney disease: a population-based study

OBJECTIVES

Triglyceride-glucose (TyG) index, which is a valuable measure of insulin resistance, has been found to have predictive value for cardiovascular disease (CVD). However, its relationship with CVD among individuals with chronic kidney disease (CKD) has not been thoroughly investigated. This study focused on examining the relationship of the TyG index and CVD among CKD patients in United States.

METHODS

3507 eligible participants from the National Health and Nutrition Examination Survey (2003-2018) were surveyed in this study. Methods such as multivariable logistic regression analysis and smooth curve fitting were employed to estimate how the TyG index is linked to CVD in CKD populations. Subgroup and interaction analyses were conducted in order to figure out potential moderating effects of various factors.

RESULTS

In this cross-sectional study which based on a population with CKD, 29.5% of patients also had CVD. An independent and positive link of TyG and CVD was revealed (OR 1.213, 95% CI 1.059, 1.389). This association was nonlinear, with a threshold effect observed at a TyG index of 8.98. The results of subgroup analysis suggested that the relationships of TyG and CVD differed according to CKD stage: (OR 1.048, 95% CI 0.857, 1.282) in CKD stages 1-2; (OR 1.267, 95% CI 1.030-1.560) in stage 3; and (OR 2.131, 95% CI 1.224-3.709) in stages 4-5. Interaction analyses further suggested the potential moderating effects of CKD stage. Additionally, among specific CVD types, only coronary heart disease (CHD) had a significant and positive relationship with TyG (OR 1.617, 95% CI 1.123, 2.327).

CONCLUSIONS

TyG index was identified to be independently and positively related to the likelihood of CVD, specifically in populations with an eGFR < 60 mL/min/1.73 m². The association had a threshold effect. The results highlight the potential of the TyG index as a tool for screening and risk assessment of CVD in populations suffering from CKD, warranting further investigation.

Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation

BACKGROUND

We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage.

METHODS

Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality's relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI's significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups.

RESULTS

The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39-0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35-0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35-0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35-0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point.

CONCLUSIONS

Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year.

Myocardial Fibrosis in Diabetic Cardiomyopathy: Mechanisms, Implications, and Therapeutic Perspectives

Diabetic cardiomyopathy (DCM) represents a distinct form of heart disease characterized by structural and functional alterations in the myocardium, occurring in the absence of other cardiac conditions. This review delves into the pathophysiological mechanisms underlying myocardial fibrosis in DCM, highlighting the pivotal role of fibroblast transdifferentiation into myofibroblasts. We examine the interplay between hyperglycemia, immune cell activation, and neurohumoral signaling pathways, with a particular focus on the transforming growth factor-beta (TGF-β) signaling cascade and its contributions to collagen deposition and cardiac dysfunction. Despite significant advancements in understanding the cellular and molecular mechanisms of DCM, critical gaps remain in elucidating the precise regulatory networks involved in fibroblast activation and the role of microRNAs in these processes. By providing a comprehensive overview of current knowledge, this review aims to identify potential therapeutic targets to mitigate myocardial fibrosis and improve clinical outcomes in diabetic patients. Ultimately, addressing these gaps will pave the way for novel therapeutic strategies that can enhance heart function and reduce the burden of diabetic cardiomyopathy.

Correlations of the triglyceride-glucose index and modified indices with arterial stiffness in overweight or obese adults

Background

Insulin resistance (IR) contributes substantially to the development of cardiovascular disease (CVD) and metabolic disorders, particularly obesity. The homeostatic model assessment of IR is a prevalent IR indicator, but insulin measurement is quite impractical for widely use. Given its convenience and accessibility, the triglyceride-glucose (TyG) index, along with modified indices such as the triglyceride-glucose-waist circumference (TyG-WC) and triglyceride-glucose-waist-height ratio (TyG-WHtR), are gaining recognition as practical tools for assessing IR. This study aimed to investigate the specific correlation between the TyG index and its modified indices with arterial stiffness in an overweight or obese population and to explore novel, self-defined modified TyG indices for identifying individuals at elevated risk for such conditions.

Methods

This retrospective study included 1,143 overweight or obese individuals from 2021 to 2023. Medical data, including brachial-ankle pulse wave velocity (baPWV), were collected. Two novel modified TyG indices, TyG-1h and TyG-2h, were defined by substituting the fasting glucose level in the TyG formula with 1-hour and 2-hour post-load plasma glucose levels, respectively. Multivariate logistic regression analyses were conducted to identify parameters that demonstrated a statistically significant correlation with arterial stiffness, defined as a baPWV threshold of ≥ 1400 cm/s. Additionally, restricted cubic spline (RCS) modelling was employed to further explore these relationships in a visually interpretable manner. To evaluate and compare the diagnostic accuracy of the conventional TyG index and its novel modified versions, receiver operating characteristic (ROC) curve analyses were performed.

Results

Our findings revealed that individuals with arterial stiffness presented significantly elevated TyG index and all its modified versions (P< 0.05). By utilizing a binary logistic regression model and adjusting for potential confounders, we determined that all TyG-related parameters independently correlated with an increased risk of developing arterial stiffness. Moreover, TyG-WHtR displayed the best correlation (OR 3.071, 95% CI 1.496-6.303) when stratified by quartiles, followed by TyG-1h (OR 2.298, 95% CI 1.248-4.234) and TyG-2h (OR 2.115, 95% CI 1.175-3.807). ROC curves suggested that TyG-1h and TyG-2h demonstrated superior diagnostic performance compared to TyG, with AUCs of 0.685, 0.679 and 0.673, respectively.

Conclusions

The modified TyG indices exhibited strong effectiveness in identifying arterial stiffness in Chinese overweight or obese individuals.

Analyzing lipid profiles and dyslipidemia prevalence in hypertensive patients: a cross-sectional study from primary community health institutions

Background

A significant proportion of hypertensive patients also suffer from comorbid dyslipidemia, which critically influences their treatment outcomes and overall prognosis. Given its implications, the lipid profiles of hypertensive individuals warrant increased attention for more effective clinical management.

Methods

We analyzed data from 92,443 hypertensive patients registered at primary community health institutions in 2021. Employing a cross-sectional study design, we assessed the distribution of lipid levels and the prevalence of various dyslipidemia subtypes. Stepwise forward logistic regression was used to identify factors associated with dyslipidemia, adjusting for gender, age, body size, and other relevant characteristics.

Results

According to the 2023 Chinese Guidelines for the Management of Lipids, the overall prevalence of dyslipidemia was 37.5%. Subtype analysis revealed prevalence of high total cholesterol (TC) at 11.2%, high triglycerides (TG) at 16.0%, low high-density lipoprotein cholesterol (HDL-C) at 16.0%, and high low-density lipoprotein cholesterol (LDL-C) at 10.2%. TG abnormalities were more common among males (16.8%), whereas TC abnormalities predominated in females (14.4%). Notably, hypertensive patients with diabetes had higher levels of TG compared to non-diabetics (p = 0.009). Those with stroke and liver disease comorbidities exhibited lower TG levels than their counterparts (p = 0.018 and p < 0.001, respectively). Additionally, HDL-C levels were significantly lower in hypertensives with diabetes, coronary artery disease, and central obesity (p < 0.001, p = 0.026, p < 0.001, respectively). Regression analysis indicated that dyslipidemia prevalence correlates significantly with gender, age, diabetes, coronary heart disease, stroke, family history of hypertension, body mass index (BMI), central obesity, frequency of physical activity, smoking status, regular alcohol consumption, and abdominal ultrasound findings.

Conclusion

Our study underscores the necessity of rigorous lipid monitoring and analysis of dyslipidemia-influencing factors for the development of effective health management strategies within the community. There is a critical need to examine lipid profiles comprehensively and implement targeted therapeutic interventions aimed at managing hyperlipidemia, a modifiable risk factor for cardiovascular disease.

Immune aging and infectious diseases

ABSTRACT

The rise in global life expectancy has led to an increase in the older population, presenting significant challenges in managing infectious diseases. Aging affects the innate and adaptive immune systems, resulting in chronic low-grade inflammation (inflammaging) and immune function decline (immunosenescence). These changes would impair defense mechanisms, increase susceptibility to infections and reduce vaccine efficacy in older adults. Cellular senescence exacerbates these issues by releasing pro-inflammatory factors, further perpetuating chronic inflammation. Moreover, comorbidities, such as cardiovascular disease and diabetes, which are common in older adults, amplify immune dysfunction, while immunosuppressive medications further complicate responses to infections. This review explores the molecular and cellular mechanisms driving inflammaging and immunosenescence, focusing on genomic instability, telomere attrition, and mitochondrial dysfunction. Additionally, we discussed how aging-associated immune alterations influence responses to bacterial, viral, and parasitic infections and evaluated emerging antiaging strategies, aimed at mitigating these effects to improve health outcomes in the aging population.

Evaluations of metabolic and innate immunity profiles in subjects with familial hypercholesterolemia with or without subclinical atherosclerosis

BACKGROUND

Familial hypercholesterolemia (FH) is a genetic condition characterized by high low-density lipoprotein cholesterol (LDL-C). The presence of risk modifiers could promote the atherosclerotic injury beyond LDL-C. Our aim was to evaluate metabolic and innate immunity profiles in FH subjects with or without subclinical atherosclerosis.

METHODS

In this cross-sectional observational study, we evaluated 211 genetically confirmed FH subjects on LDL-C target and without cardiovascular diseases. Biochemical analyses, LDL-C burden (LCB) calculation and vascular profile evaluation were obtained from all subjects. Study population was divided into two groups according to subclinical atherosclerosis: the subclinical atherosclerosis (SA) group and non-subclinical atherosclerosis (NSA) group.

RESULTS

SA group had higher LDL-C at diagnosis (288.35 ± 24.52 vs 267.92 ± 23.86, p < 0.05) and LCB (13,465.84 ± 3617.46 vs 10,872.63 ± 3594.7, p < 0.001) than NSA group. SA group had higher white blood cell count (WBCC, 6.9 ± 1.66 vs 6.1 ± 1.16), neutrophil count (NC, 4.2 ± 1.3 vs 3.6 ± 1.11), monocyte count (MC, 0.8 ± 0.2 vs 0.4 ± 0.1), triglyceride to high-density lipoprotein ratio (TG/HDL, 1.73 ± 0.72 vs 1.45 ± 0.69), triglyceride-glucose index (TyG, 8.29 ± 0.35 vs 8.01 ± 0.33) than NSA group (p value for all < 0.01). Multivariate logistic regression analysis showed that LCB (p < 0.01), WBCC (p < 0.01), NC (p < 0.05), MC (p < 0.05) were associated with subclinical atherosclerosis. Simple linear regression analyses showed that LCB was associated with WBCC, NC, MC (p value for all < 0.01).

CONCLUSION

An increased LCB and an impaired innate immunity profile were found in FH subjects with subclinical atherosclerosis and they were independently associated with atherosclerotic injury. LCB could modulate the innate immunity profile.

Relationship between triglyceride glucose-body mass index and coronary artery calcium score in maintenance hemodialysis patients

Background

This study investigated the association between coronary artery calcification (CAC) and triglyceride glucose-body mass index (TyG-BMI) in patients receiving maintenance hemodialysis (MHD).

Methods

We used computed tomography (CT) to assess coronary artery calcification score (CACS) using the Agatston method. The TyG index was multiplied by BMI to derive the TyG-BMI index. Ordinal logistic regression models were used to analyze the relationship between TyG-BMI and CAC. The dose-response relationship was evaluated using restricted cubic spline regression. Weighted Quantile Sum regression was used to explore the weight of the TyG-BMI index components.

Results

Based on the TyG-BMI, 219 patients with MHD were stratified into three groups. The TyG-BMI index was shown to be an independent risk factor for CACS by multivariate ordinal logistic regression analysis (odds ratio, 1.011; [95% confidence interval, 1.002-1.021]; P = 0.021). The relationship between TyG-BMI and lg (CACS + 10) was linear (P-overall = 0.023, P-non-linear = 0.412). Body mass index (BMI) had the highest weight (0.566) when weights were assigned to the three components of TyG-BMI. In the non-diabetes and diabetes subgroups, TyG-BMI and lg (CACS + 10) did not exhibit a significant non-linear relationship.

Conclusion

TyG-BMI and CAC were independently positively correlated in patients undergoing MHD. These findings suggest that assessing TyG-BMI as a valuable tool for identifying the risk of CAC in patients with MHD.

Targeting GSK-3β for adipose dysfunction and cardiovascular complications of metabolic disease: An entangled WNT/β-catenin question

Individuals with metabolic syndrome have a high risk of developing cardiovascular disorders that is closely tied to visceral adipose tissue dysfunction, as well as an altered interaction between adipose tissue and the cardiovascular system. In metabolic syndrome, adipose tissue dysfunction is associated with increased hypertrophy, reduced vascularization, and hypoxia of adipocytes, leading to a pro-oxidative and pro-inflammatory environment. Among the pathways regulating adipose tissue homeostasis is the wingless-type mammary tumor virus integration site family (Wnt) signaling pathway, with both its canonical and non-canonical arms. Various modulators of the Wnt signaling have been identified to contribute to the development of metabolic diseases and their cardiovascular complications, with a particularly significant role played by Glycogen Synthase Kinase-3β (GSK-3β). GSK-3β levels and activities have various and often contrasting roles in obesity and related metabolic disorders, as well as their cardiovascular sequelae. Here, we explore the possibility that altered Wnt signaling and GSK-3β activities could serve as a connection between adipose tissue dysfunction and the development of cardiovascular disease in individuals with metabolic syndrome. We attempt to define a context-specific approach for intervention, which could possibly serve as a novel disease modifying therapy for the mitigation of such complications.

Decreased Adipose Lipid Turnover Associates With Cardiometabolic Risk and the Metabolic Syndrome

BACKGROUND

Disturbed white adipose tissue function is important for cardiometabolic risk and metabolic syndrome (MetS). Whether this involves adipose lipid turnover (lipolysis and synthesis of triglycerides) is unknown and was presently investigated in subcutaneous adipose tissue, the body's largest fat depot.

METHODS

In cross-sectional studies in 78 subjects, adipose lipid age, representing overall lipid turnover (mobilization and storage), and lipid storage capacity were assessed by the incorporation of atmospheric 14C into adipose lipids. Adipose lipid age from an algorithm of adipocyte lipolysis and clinical parameters was also determined in 185 subjects. Adult Treatment Panel III (ATPIII) scoring defined MetS (scores 3-5) or healthy (score 0). ANOVA or ANCOVA and t test were used for statistical comparison. Because there was no method interaction to determine lipid age, the 2 groups were combined.

RESULTS

Lipid age increased by incremental ATPIII score (F=42; P<0.0001) and was 2-fold advanced in MetS (t=11.3; P<0.0001). The correlation with lipid age was independent of age, sex, body mass index, waist-to-hip ratio, sedentary lifestyle, absence of obesity, and adipose insulin resistance (F=10.7; P<0.0001). Lipid storage capacity was not related to the ATPIII score (F=1.0; P=0.44) or MetS (t=-0.9; P=0.35). Adipocyte lipolysis activation was decreased in MetS and inversely related to incremental ATPIII score, suggesting that decreased lipid mobilization is the major factor behind high lipid age in these conditions.

CONCLUSIONS

Despite normal lipid assimilation capacity, abdominal subcutaneous adipose lipid turnover is decreased in MetS and high ATPIII score because of impaired ability to mobilize lipids involving low adipocyte lipolysis activation.

The causal relationship between 233 metabolites and coronary atherosclerosis: a Mendelian randomization study

Objective

To investigate the causal relationship between 233 newly reported metabolites and coronary atherosclerosis through Mendelian randomization analysis.

Methods

Five different methods were used to perform Mendelian randomization analysis on the 233 metabolites and coronary atherosclerosis, with inverse variance weighting as the primary result, supplemented by other methods.

Results

The analysis identified that certain metabolites increase the susceptibility risk of coronary atherosclerosis, including: Total fatty acids (OR = 1.40, 95% CI: 1.28-1.53, P < 0.001), Saturated fatty acids (OR = 1.44, 95% CI: 1.30-1.60, P < 0.001), Serum total triglyceride levels (OR = 1.33, 95% CI: 1.22-1.46, P < 0.001), Conjugated linoleic acid (OR = 1.16, 95% CI: 1.04-1.30, P = 0.007). Conversely, certain metabolites were found to reduce the occurrence of coronary atherosclerosis, such as: Cholesteryl esters to total lipids ratio in medium HDL (OR = 0.73, 95% CI: 0.67-0.78, P < 0.001), Cholesteryl esters to total lipids ratio in large HDL (OR = 0.64, 95% CI: 0.58-0.71, P < 0.001), Total cholesterol to total lipids ratio in medium HDL (OR = 0.71, 95% CI: 0.65-0.77, P < 0.001).

Conclusion

There is a close relationship between metabolites and the occurrence of coronary atherosclerosis. This study conducted Mendelian randomization analysis on the causal relationship between 233 metabolites and coronary atherosclerosis, providing potential new insights for the treatment of this disease.

Plant-Based Diet and Sports Performance

Recently, interest in plant-based diets has grown significantly, driven by health and environmental concerns. Plant-based diets offer potential health benefits, including decreased risk of cardiovascular disease, weight management, and blood glucose regulation. This diet profile is rich in complex carbohydrates, antioxidants, dietary fiber, and phytochemicals. However, antinutrients in some plant foods can make nutrient absorption difficult, necessitating careful dietary planning. Plant-based diets can also improve sports performance; in addition, they can positively influence the intestinal microbial community, which can promote health and performance. The present study covered a review from 1986 to 2024 and involved an experimental design with human participants. The main objective was to evaluate the impact of plant-based diets on sports performance. Recent research suggests that plant-based diets do not harm athletic performance and may positively impact sports performance by improving blood flow and reducing oxidative stress. These findings have potential clinical significance, particularly for athletes seeking to optimize their physical capabilities through dietary interventions.

Research progress on the relationship between free fatty acid profile and type 2 diabetes complicated by coronary heart disease

Patients with type 2 diabetes mellitus (T2DM) have a 2 to 3 times higher risk of cardiovascular disease compared to non-diabetic individuals, and cardiovascular disease has consistently been a leading cause of death among diabetic patients. Therefore, preventing cardiovascular disease in diabetic patients remains a significant challenge. In addition to classic indicators such as cholesterol and lipoproteins, previous studies have demonstrated that plasma level of free fatty acid (FFA) is closely related to the occurrence of atherosclerosis, particularly in T2DM patients. In recent years, with further research and advancements in testing technologies, the FFA profile has garnered widespread attention. The FFA profile includes many different types of FFAs, and changes in the plasma FFA profile and concentrations in T2DM patients may lead to the development of insulin resistance, causing damage to vascular endothelial cells and promoting the occurrence and progression of atherosclerosis. Furthermore, some FFAs have shown potential in predicting cardiovascular complications in T2DM and are associated with the severity of these complications. Here, we aim to review the changes in the FFA profile in T2DM and discuss the relationship between the FFA profile and the occurrence of vascular complications in T2DM.

Correlation between triglyceride-glucose index and atrial fibrillation in acute coronary syndrome patients: a retrospective cohort study and the establishment of a LASSO-Logistic regression model

BACKGROUND

Insulin resistance (IR) is an independent predictor of atrial fibrillation (AF), but the specific utility of the triglyceride-glucose (TyG) index as a predictive marker for the incidence of AF in the acute coronary syndrome (ACS) population has not yet been explored.

OBJECTIVE

To explore the correlation between TyG index and the risk of AF in ACS patients and to establish a predictive model.

METHODS

A retrospective study was conducted on 613 ACS patients admitted to the Department of Cardiovascular Medicine at the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from January 2022 to September 2024. Patients were divided into four groups based on quartiles of TyG index. Patients were further divided into two groups based on the occurrence of AF: the AF group and the non-AF group. Patient information was collected through the hospital's HIS system. Variable selection was completed using LASSO regression algorithms. Multivariate logistic bidirectional stepwise regression analysis was used to explore the correlation between the TyG index and the risk of AF in ACS patients and to construct a regression model. Three different models were constructed by adjusting for confounding factors and restricted cubic spline plots were drawn to validate the significance of the TyG index combined with AF further. The predictive value of the LASSO-multivariate logistic bidirectional stepwise regression model and the TyG index alone for predicting AF in ACS patients was analyzed using the receiver operating characteristic curve.

RESULTS

The LASSO-multivariate logistic bidirectional stepwise regression algorithm showed that coronary heart disease (CHD), valvular heart disease (VHD), TyG, age (AGE), and diastolic blood pressure (DBP) were risk factors for AF in ACS. The restricted cubic spline model demonstrated a significant linear relationship between a higher TyG index and an increased risk of AF in the ACS patient population. The area under the curve (AUC) for predicting AF in ACS patients using the TyG index and the LASSO-multivariate logistic bidirectional stepwise regression model was 0.65(95%CI = 0.58 ~ 0.73) and 0.71(95%CI = 0.65 ~ 0.77) respectively. Additionally, the correlation between the TyG index and AF was consistent across different subgroups.

CONCLUSION

In ACS patients, the TyG index is a stable and independent predictor of AF, with specific clinical value in identifying the occurrence of AF in this population.

Biomarkers and Seaweed-Based Nutritional Interventions in Metabolic Syndrome: A Comprehensive Review

Metabolic Syndrome (MetS) is a complex, multifactorial condition characterized by risk factors such as abdominal obesity, insulin resistance, dyslipidemia and hypertension, which significantly contribute to the development of cardiovascular disease (CVD), the leading cause of death worldwide. Early identification and effective monitoring of MetS is crucial for preventing serious cardiovascular complications. This article provides a comprehensive overview of various biomarkers associated with MetS, including lipid profile markers (triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and apolipoprotein B/apolipoprotein A1 (ApoB/ApoA1) ratio), inflammatory markers (interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-α), plasminogen activator inhibitor type 1 (PAI-1), C-reactive protein (CRP), leptin/adiponectin ratio, omentin and fetuin-A/adiponectin ratio), oxidative stress markers (lipid peroxides, protein and nucleic acid oxidation, gamma-glutamyl transferase (GGT), uric acid) and microRNAs (miRNAs) such as miR-15a-5p, miR5-17-5p and miR-24-3p. Additionally, this review highlights the importance of biomarkers in MetS and the need for advancements in their identification and use for improving prevention and treatment. Seaweed therapy is also discussed as a significant intervention for MetS due to its rich content of fiber, antioxidants, minerals and bioactive compounds, which help improve cardiovascular health, reduce inflammation, increase insulin sensitivity and promote weight loss, making it a promising nutritional strategy for managing metabolic and cardiovascular health.

Changes in the metabolic score for insulin resistance index for risk prediction of stroke in middle-aged and older Chinese population

Background

As a major noncommunicable disease, stroke poses a major threat to public health. In the context of predictive, preventative, and personalised medicine (PPPM/3PM), early identification of high-risk individuals is crucial for targeted prevention and personalised treatment for stroke. This study aimed to investigate the association between changes in the Metabolic Score for Insulin Resistance Index (METS-IR) and incident stroke. From the perspective of PPPM/3PM, we hypothesised that monitoring dynamic changes of the METs-IR levels and targeting cumulative METs-IR index contribute to risk prediction, targeted prevention, and personalised management of stroke.

Methods

All data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), a nationwide prospective cohort study. The individuals were categorised into four subgroups based on the quartiles (Q) of the cumulative METS-IR index as a reflection of changes in the METS-IR values from 2012 to 2015. Logistic regression was employed to examine the association between cumulative METS-IR index and stroke incidence. Additionally, restricted cubic spline regression analysis was used to assess potential linearity.

Results

Among the 4288 participants, 275 (6.4%) experienced a stroke. The risk of stroke events increased with higher cumulative METS-IR index levels. Compared with the lowest quartile (Q1), the OR of having a stroke was 1.20 (0.81, 1.78) for Q2, 1.51 (1.04, 2.21) for Q3 and 2.17 (1.52, 3.10) for the highest quartile (Q4). After adjusting for multiple potential confounders, Q4 (OR: 1.57, 95% CI: 1.04, 2.35) remained significantly associated with stroke. The association between the cumulative METS-IR index and stroke incidence was linear in males, females, and the overall population (all P values for nonlinearity > 0.05).

Conclusions

A higher cumulative METS-IR index was associated with an increased risk of incident stroke among middle-aged and older Chinese individuals. In the context of PPPM/3PM, incorporating metabolic health into stroke risk assessment advances the prediction, prevention and personalised management of stroke.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-024-00388-y.

Serum uric acid and mortality in metabolic dysfunction-associated steatotic liver disease: Subgroup differences

BACKGROUND AND AIMS

This study aims to investigate the association between serum uric acid (SUA) and both the risk and long-term mortality of dysfunction-associated steatotic liver disease (MASLD), and to explore differences between the pure MASLD and metabolic and alcohol related/associated liver disease (MetALD) subgroups.

METHODS AND RESULTS

We included 11,675 participants from the Third National Health and Nutrition Examination Survey, with matched mortality data up to 2019. Logistic regression and Cox proportional hazards regression evaluated the relationship between SUA and both the risk and mortality of MASLD. Non-linear correlations and threshold effects were explored using restricted cubic splines and a two-piecewise Cox proportional hazards model. We found that SUA was positively associated with the risk of MASLD [odds ratio (OR): 1.19, 95 % confidence interval (CI) 1.12-1.27]. For pure MASLD, SUA showed a positive association with all-cause mortality [<4.7 mg/dL: hazard ratio (HR): 1.34, 95 % CI 1.04-1.73; ≥4.7 mg/dL: HR: 1.08, 95 % CI 1.02-1.15] and cardiovascular mortality (HR: 1.12, 95 % CI 1.02-1.22). For MetALD, there was an inverse J-shaped relationship (threshold: 6.6 mg/dL) between SUA and all-cause mortality. Below the threshold, SUA was negatively correlated with all-cause mortality (HR: 0.42, 95 % CI 0.19-0.93), but no association was found above it (HR: 0.81, 95 % CI 0.54-1.21). Additionally, no association was observed between SUA and cardiovascular mortality.

CONCLUSIONS

SUA serves as an independent predictor of the risk and all-cause mortality of MASLD. The relationship between SUA and both all-cause and cardiovascular mortality differs between the pure MASLD and MetALD subgroups.

Triglyceride-Glucose Index Associated with Future Renal Function Decline in the General Population

BACKGROUND

The triglyceride-glucose index (TyG index), calculated as the logarithmic product of fasting triglyceride and glucose concentrations, is recognized as a simple marker of insulin resistance. However, the association between the TyG index and future decline of renal function remains unclear in the general population.

OBJECTIVE

To investigate whether the TyG index was associated with future decline of renal function in the general population who had not progressed to chronic kidney disease stage G2.

DESIGN

Retrospective longitudinal observational cohort study.

PARTICIPANTS

Individuals who received a population-based health checkup at JA Ehime Kouseiren Checkup Center from 2010 to 2019 (n = 134,007). Individuals without data of baseline fasting triglyceride or glucose levels, or baseline and follow-up data of estimated glomerular filtration rate (eGFR), or those with baseline eGFR < 60 mL/min/1.73 m2 were excluded.

MAIN MEASURES

Future renal function decline, defined as a ≥ 25% decrease in eGFR from baseline.

KEY RESULTS

Of 10,758 participants, 8,076 were classified into the low TyG index group (TyG index < 8.76, 1st to 3rd quartiles) and 2,682 into the high TyG index group (TyG index ≥ 8.76, 4th quartile). The mean follow-up period was 37.8 ± 23.6 months. The incidence rates of renal function decline were 0.31 and 0.69 per 100 person-years in the low and high TyG index groups, respectively. In multivariate Cox proportional hazard models, high TyG index was significantly associated with future renal function decline (hazard ratio 2.25, 95% CI 1.40-3.60). This association was consistent across subgroups stratified by age, sex, body mass index, baseline eGFR, and diagnosed hypertension, diabetes, or dyslipidemia.

CONCLUSION

In the general population, high TyG index was associated with future renal function decline. The TyG index may be useful in identifying individuals at high risk for future renal function decline in the setting of health checkups.

Mathurameha ameliorates cardiovascular complications in high-fat diet/low-dose streptozotocin-induced type 2 diabetic rats: insights from histological and proteomic analysis

Type 2 diabetes mellitus (T2DM) is a global health concern with increasing prevalence. Mathurameha, a Thai herbal formula, has shown promising glucose-lowering effects and positive impacts on biochemical profiles in diabetic rats. The present study investigated the protective effects of Mathurameha on cardiovascular complications in high-fat diet/streptozotocin (HFD/STZ)-induced type 2 diabetic rats using histological and proteomic analyses. Thirty-five male Sprague-Dawley rats were divided into seven groups: normal diet (ND), ND with aqueous extract (ND + AE450), ND with ethanolic extract (ND + EE200), diabetes (DM), DM with AE (DM + AE450), DM with EE (DM + EE200), and DM with metformin (DM + Met). Mathurameha, especially at 200 mg/kg EE, significantly reduced adipocyte size, cardiac and vascular abnormalities, collagen deposition, and arterial wall thickness in DM rats. Proteomic analysis of rat aortas revealed 30 significantly altered proteins among the ND, DM, and DM + EE200 groups. These altered proteins are involved in various biological processes related to diabetes. Biochemical assays showed that Mathurameha reduced lipid peroxidation (MDA), increased antioxidant levels (GSH), and decreased the expression of inflammatory markers (ICAM1, TNF-α). In conclusion, Mathurameha exhibited significant protective effects against cardiovascular complications in HFD/STZ-induced type 2 diabetic rats through its antioxidant and anti-inflammatory properties.

Association of Insulin Resistance With Cardiovascular Disease and All-Cause Mortality in Type 1 Diabetes: Systematic Review and Meta-analysis

OBJECTIVE

The association of insulin resistance (IR) with cardiovascular disease (CVD) and all-cause mortality in type 1 diabetes (T1D) remains unclear.

PURPOSE

To investigate whether IR is associated with CVD and all-cause mortality among individuals with T1D.

DATA SOURCES

PubMed, Embase, and the Cochrane Library databases were searched from inception to 31 October 2023.

STUDY SELECTION

Observational studies reporting the associations between IR, as calculated by the estimated glucose disposal rate (eGDR), and the risk of CVD and all-cause mortality in individuals with T1D were eligible for inclusion.

DATA EXTRACTION

Data from eight selected studies were extracted, pooled by random-effects models, and results are presented as hazard ratios (95% CIs).

DATA SYNTHESIS

Eight studies involving 21,930 individuals were included, of which five studies involving 19,960 individuals with T1D reported the risk of CVD. During a median follow-up of 10 years, there were 2,149 cases of incident CVD. The pooled hazard ratio for composite CVD outcome per 1-unit increase in the eGDR index was 0.83 (95% CI 0.78-0.90, I2 = 58.9%). Five studies involving 19,403 individuals reported the risk of all-cause mortality. During a median follow-up of 10 years, 1,279 deaths were observed. The pooled hazard ratio for all-cause mortality per 1-unit increase in the eGDR index was 0.84 (95% CI 0.81-0.87, I2 = 0%).

LIMITATIONS

The small number of available studies restricted our ability to perform meta-regression analyses or more detailed subgroup analyses.

CONCLUSIONS

IR, as calculated by the eGDR, may be an additional risk factor for CVD and all-cause mortality in T1D.

Association Between Triglyceride Glucose Index and Chronic Kidney Disease in Normal-Weight Chinese Adults With Hypertension

This study aimed to examine the association between the triglyceride-glucose (TyG) index and chronic kidney disease (CKD) in normotensive adults with hypertension and further investigate potential effect modifiers of this association. A total of 7975 normoweight hypertensive participants were enrolled from the Chinese H-type hypertension registry (CHHRS) cohort. The TyG index was calculated using the formula: ln (fasting triglyceride [mg/dL] × fasting plasma glucose [mg/dL])/2. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 of body surface area. Multivariate logistic regression analysis revealed a 50% increased risk of CKD (OR: 1.50, 95% CI: 1.26-1.79) for each unit increase in the TyG index. A linear dose-response relationship between the TyG index and CKD risk was observed using restricted cubic spline analysis. Compared to the first quartile of the TyG index, the fourth quartile showed a significantly higher risk of CKD (OR: 1.88; 95% CI: 1.41-2.50). Subgroup analysis identified a stronger association between the TyG index and CKD risk in males and individuals with a history of alcohol consumption (all p values for interaction < 0.05). In conclusions, the TyG index was significantly associated with an increased risk of CKD in normoweight adults with hypertension, particularly in males and those with a history of alcohol consumption.

Triglyceride to High-Density Lipoprotein Cholesterol Ratio and Sensorineural Hearing Loss in Community-Dwelling Adults: an NHANES Analysis

PURPOSE

Sensorineural hearing loss (SNHL) is prevalent among older adults in the United States. Recent studies suggest the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a potential marker for metabolic and cardiovascular conditions. Our research investigates the association between the TG/HDL-C ratio and SNHL using a comprehensive national dataset.

MATERIALS AND METHODS

This cross-sectional study utilized the National Health and Nutrition Examination Survey (NHANES) data cycle 1999-2000, 2001-2002, 2003-2004, 2011-2012, and 2015-2016. Participants aged 50-69 years with complete audiometry and TG/HDL-C data were included. The outcome was the presence of SNHL, defined as an average hearing threshold >25 dB in the better ear. We employed multivariate logistic regression adjusted for demographics, smoking, noise exposure, and comorbidities to explore the association.

RESULTS

A total of 1148 participants constituted the analytic sample, and 31.4% had SNHL. Compared to no SNHL, those with SNHL exhibited higher TG/HDL-C ratios (3.5 vs. 2.7). Elevated TG/HDL-C tertiles correlated with increased SNHL odds [tertile 2: adjusted odds ratio (aOR)=1.50, 95% confidence interval (CI): 0.97-2.32, p=0.069; tertile 3: aOR=1.64, 95% CI: 1.03-2.63, p=0.039]. The link was stronger in participants without diabetes or obesity, with significant predictive values for SNHL presence (area under the ROC curve=0.716 and 0.753, respectively).

CONCLUSION

A higher TG/HDL-C ratio was significantly associated with SNHL in US adults aged 50-69 years, especially in those free from diabetes or obesity. These findings support considering TG/HDL-C as a useful marker for SNHL risk, highlighting the importance of combined metabolic and auditory health assessments.

Associations between metabolic dysfunction-associated fatty liver disease and atherosclerotic cardiovascular disease

Non-alcoholic fatty liver disease (NAFLD) is closely related to metabolic syndrome and remains a major global health burden. The increased prevalence of obesity and type 2 diabetes mellitus (T2DM) worldwide has contributed to the rising incidence of NAFLD. It is widely believed that atherosclerotic cardiovascular disease (ASCVD) is associated with NAFLD. In the past decade, the clinical implications of NAFLD have gone beyond liver-related morbidity and mortality, with a majority of patient deaths attributed to malignancy, coronary heart disease (CHD), and other cardiovascular (CVD) complications. To better define fatty liver disease associated with metabolic disorders, experts proposed a new term in 2020 - metabolic dysfunction associated with fatty liver disease (MAFLD). Along with this new designation, updated diagnostic criteria were introduced, resulting in some differentiation between NAFLD and MAFLD patient populations, although there is overlap. The aim of this review is to explore the relationship between MAFLD and ASCVD based on the new definitions and diagnostic criteria, while briefly discussing potential mechanisms underlying cardiovascular disease in patients with MAFLD.

Asprosin: the potential player in combined double diabetes and hypothyroidism

BACKGROUND

Double diabetes is a term used to describe people with type 1 diabetes who are overweight, show signs of insulin resistance, or have a family history of type 2 diabetes. Asprosin is a novel glucogenic adipokine; Asprosin regulates appetite and glucose metabolism. The study aimed to investigate the level of asprosin in people with double diabetes with and without hypothyroidism and its association with markers of insulin resistance.

SUBJECTS AND METHODS

This case-control study was conducted in Iraq between March 2022 and January 2023. One hundred sixty participants were enrolled; the selected participants were classified into three age and sex-matched groups. The first group consisted of eighty healthy controls served as the control group. Of eighty participants with newly discovered DD, half (40) have DD alone, and 40 have both DD and hypothyroidism. Serum asprosin, insulin, thyroid, lipid profile, glucose, and glycated hemoglobin were measured. The estimated glucose disposal rate, triglyceride-glucose index, and HOMA-IR were calculated.

RESULTS

Participants with double diabetes had significantly (p ≤ 0.001) greater circulation asprosin levels than subjects in the control group. Comparatively, to double diabetes participants without hypothyroidism, asprosin levels were also higher in double diabetes subjects with hypothyroidism (p ≤ 0.001), and the insulin resistance markers increased in a stepwise way across the asprosin quartiles (p ≤ 0.001). Asprosin significantly correlated with insulin resistance markers, eGDR, plasma glucose, HbA1C, triglycerides, HDL-C, and LDL-C.

CONCLUSION

Elevated asprosin levels might be a potential biomarker for the alteration in glucose metabolism, insulin resistance, and double diabetes. It may be the missing link between metabolic and endocrine disorders.

SREBP1 induction mediates long-term statins therapy related myocardial lipid peroxidation and lipid deposition in TIIDM mice

Statins therapy is efficacious in diminishing the risk of major cardiovascular events in diabetic patients. However, our research has uncovered a correlation between the prolonged administration of statins and an elevated risk of myocardial dysfunction in patients with type II diabetes mellitus (TIIDM). Here, we report the induction of sterol regulatory element-binding protein 1 (SREBP1) activation, associated lipid peroxidation, and the consequent diabetic myocardial dysfunction after statin treatment and explored the underlying mechanisms. In db/db mice, we observed that 40 weeks atorvastatin (5 and 10 mg/kg) and rosuvastatin (20 mg/kg) administration exacerbated diabetic myocardial dysfunction by echocardiography and cardiomyocyte contractility assay, increased myocardial inflammation and fibrosis as shown by CD68, IL-1β, Masson's staining and Collagen1A1 immunohistochemistry (IHC) staining, increased respiratory exchange ratio (RER) by metabolic cage system assessment, exacerbated mitochondrial structural pathological changes by transmission electron microscopy (TEM) examination, increased deposition of lipid and glycogen by TEM, Oil-red and periodic acid-schiff stain (PAS) staining, which were corresponded with augmented levels of myocardial SREBP1 protein and lipid peroxidation marked by 4-hydroxynonenal (4-HNE) staining. Comparable myocardial fibrosis was also observed in KK-ay and low-dose streptozotocin (STZ)-induced TIIDM mice. Elevated SREBP1 levels were observed in the heart tissues from diabetic patients, which was positively correlated with their myocardial dysfunction. To elucidate the role of statin induced SREBP1 in lipid peroxidation and lipid deposition and related mechanism, we cultured neonatal mouse primary cardiomyocytes (NMPCs) and treated them with atorvastatin (10 μM, 24 h), tracing with [U-13C]-glucose and evaluating for SREBP1 expression and localization. We found that statin treatment elevated de novo lipogenesis (DNL) and the levels of SREBP1 cleavage-activating protein (SCAP), reduced the interaction of SCAP with insulin-induced gene 1 (Insig1), and enhance SCAP/SREBP1 translocation to the Golgi, which facilitate SREBP1 cleavage leading to its nuclear trans-localization and activation in NMPCs. Ultimately, SREBP1 knockdown or l-carnitine mitigated long-term statins therapy induced lipid peroxidation and myocardial fibrosis in low-dose STZ treated SREBP1+/- mice and l-carnitine treated db/db mice. In conclusion, we demonstrated that statin therapy may augment DNL by activating SREBP1, resulting in myocardial lipid peroxidation and lipid deposition.

The association between triglyceride glucose index and the risk of cardiovascular disease in obstructive sleep apnea

PURPOSE

The triglyceride glucose (TyG) index is a dependable indicator of insulin resistance (IR), serves as a valuable biomarker for identifying obstructive sleep apnea (OSA) and predicting its comorbidities. Both OSA and the TyG index are significantly related to the incidence and development of cardiovascular disease (CVD). We focus on investigating the relationship between the TyG index and the incidence of CVD risk in OSA.

METHODS

The TyG index, homeostatic model assessment of IR (HOMA-IR) index, and polysomnography were assessed in 191 participants with OSA and without pre-existing CVD. To estimate the lifetime CVD risk, we employed the 'Prediction for Atherosclerotic CVD Risk in China' equation. The TyG index's association with CVD risk was scrutinized using multivariable logistic regression models, contrasting it with the HOMA-IR index. We compared the predictive power for high lifetime CVD risk of the TyG index and the HOMA-IR index using receiver-operating characteristic (ROC) curve analysis.

RESULTS

A total of 89 participants had high lifetime CVD risk. In fully adjusted model and additionally adjusted for HOMA-IR index, participants situated within the fifth quantile of the TyG index exhibited an increased lifetime CVD risk, with OR of 4.32 (95% CI, 1.19-15.67). The TyG index demonstrated significant predictive power for high lifetime CVD risk across varying severities of OSA and outperformed the HOMA-IR index, as evidenced by a larger area under the ROC curve.

CONCLUSION

The TyG index, independent of the HOMA-IR index and obesity, was linked to an increased lifetime CVD risk. In predicting cardiovascular outcomes, the TyG index could potentially outperform the HOMA-IR index among individuals with OSA.

Relationship between stroke and estimated glucose disposal rate: results from two prospective cohort studies

BACKGROUND

Insulin resistance (IR) is a recognized contributor to stroke association, and the estimated glucose disposal rate (eGDR) is a dependable indicator of IR. However, the specific connections between eGDR, stroke prevalence, and overall mortality have not been thoroughly investigated. This study aimed to examine how eGDR correlates with stroke and overall death rate.

METHODS

The study leveraged information from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. To unravel the data, the team utilized logistic regression, cox proportional hazards models, and restricted cubic splines (RCS) Sensitivity analyses excluded participants with a stroke history within the previous two years. Results were validated through analysis of the China Health and Retirement Longitudinal Study (CHARLS).

RESULTS

A higher eGDR is like a protective shield against strokes, with those in the top eGDR quartile exhibited a 60% reduction in stroke association (OR = 0.40, 95% CI, 0.22-0.73, P = 0.003). Additionally, a higher eGDR correlates with a lower overall death rate (HR = 0.71, 95% CI, 0.52-0.98, P = 0.037), particularly in individuals without a history of stroke. RCS analysis demonstrated that eGDR's influence on stroke association follows a non-linear pattern. Subgroup analysis revealed that the protective effect of eGDR was stronger in non-diabetic and non-hypertensive individuals.

CONCLUSION

eGDR is inversely related to both stroke association and mortality, affirming its utility as a predictive marker of stroke.

Acupuncture and Drug Combination Therapy for Abnormal Glucose Metabolism: Exploring Synergistic Enhancement and Reduced Toxicity Mechanisms

This review examines the impact of combining acupuncture with drug therapy on abnormal glucose metabolism and investigates their underlying mechanisms. Conditions like diabetes pose significant health risks due to irregular glucose metabolism. Traditional drug treatments often encounter challenges related to side effects and drug resistance. Acupuncture, as a non-pharmacological intervention, is thought to enhance glucose metabolism and mitigate medication side effects. We selected the relevant studies of acupuncture or electroacupuncture combined with drugs in the treatment of abnormal glucose metabolism in the past five years, and the results indicate that the combination of acupuncture or electroacupuncture and drug therapy markedly enhances glucose metabolism and mitigates medication-related side effects such as gastrointestinal discomfort and hypoglycemia. Overall, this review underscores the synergistic benefits of acupuncture and drug therapy in improving treatment efficacy and reducing adverse effects, offering promising new approaches for managing abnormal glucose metabolism. Our review provides evidence for the potential benefits of combining acupuncture with drug therapy for abnormal glucose metabolism, which could lead to improved treatment outcomes and reduced side effects for patients with type 2 diabetes mellitus.

The interaction between triglyceride-glucose index and visceral adiposity in cardiovascular disease risk: findings from a nationwide Chinese cohort

BACKGROUND

Globally, cardiovascular disease (CVD) constitutes the primary cause of death, with insulin resistance (IR), measured by the triglyceride-glucose (TyG) index, and visceral obesity, reflected by the Chinese Visceral Adiposity Index (CVAI), as key contributors. However, the relationship between the TyG index and CVAI regarding CVD risk remains insufficiently understood. This research investigates the interactive impact of the TyG index and CVAI on the risk of cardiovascular disease.

METHODS

We analyzed data from 8,358 participants from the China Health and Retirement Longitudinal Study (CHARLS) over a 9-year follow-up period. Participants were classified into four groups based on median TyG index (8.59) and CVAI values (101.26), and baseline characteristics were summarized. Missing data were addressed using multiple imputation by chained equations (MICE). Cox proportional hazards models assessed associations between TyG index, CVAI, CVD, coronary heart disease (CHD), and stroke risks, with Kaplan-Meier analysis used for cumulative hazard. Interaction effects were evaluated using both multiplicative and additive measures. Subgroup analyses by age, gender, and clinical conditions were conducted to explore interaction effects across different populations. Sensitivity analyses re-tested models, excluding the covariates BMI and diabetes, using tertiles for classification, and re-evaluating imputed data.

RESULTS

Over the 9-year follow-up, 1,240 participants (14.8%) developed CVD, including 896 cases of CHD and 475 strokes. Kaplan-Meier curves indicated that participants with low TyG index but high CVAI had the highest cumulative hazard of CVD. Cox regression showed that this group had the highest CVD risk (HR = 1.87, 95% CI: 1.57-2.24), followed by those with both high TyG index and high CVAI (HR = 1.75, 95% CI: 1.49-2.06). Interaction analysis revealed a negative interaction effect between high TyG and high CVAI on CVD and CHD risks, with no significant effect on stroke. Subgroup and sensitivity analyses further confirmed these findings, showing consistent results across demographic groups and under various analytical conditions.

CONCLUSION

This study suggests that the interaction between IR (TyG index) and visceral fat accumulation (CVAI) plays a complex role in CVD risk, with a potential antagonistic effect observed between high TyG and high CVAI on CVD events. These findings highlight the importance of considering both IR and visceral adiposity in CVD risk assessments to improve the identification of high-risk individuals.

Gut Microbiota and Gut-Brain Axis in Hypertension: Implications for Kidney and Cardiovascular Health-A Narrative Review

INTRODUCTION

Arterial hypertension is a major contributor to a wide range of health complications, with cardiac hypertrophy and chronic kidney disease being among the most prevalent. Consequently, novel strategies for the treatment and prevention of hypertension are actively being explored. Recent research has highlighted a potential link between hypertension and the gut-brain axis. A bidirectional communication between the microbiota and the brain via the vagus nerve, enteric nervous system, hypothalamus-pituitary-adrenal axis, secreted short-chain fatty acids, and neurotransmitter metabolism.

MATERIALS AND METHODS

A comprehensive literature search was conducted using databases such as PubMed to identify studies exploring the relationship between gut microbiota and hypertension, along with the effects of dietary interventions and probiotics on blood pressure regulation.

DISCUSSION

Studies in both animal models and human subjects have demonstrated a strong correlation between alterations in gut microbiota composition and the development of hypertension. By influencing blood pressure, the gut microbiota can potentially affect the progression of cardiovascular and kidney disorders. Modulating gut microbiota through dietary interventions and probiotics has shown promise in regulating blood pressure and reducing systemic inflammation, offering a novel approach to managing hypertension. Diets such as the Mediterranean diet, which is rich in polyphenols and omega-3 fatty acids and low in sodium, promote the growth of beneficial gut bacteria that support cardiovascular health. Additionally, probiotics have been found to enhance gut barrier function, reduce inflammation, and modulate the Renin-Angiotensin System, all of which contribute to lowering blood pressure.

CONCLUSIONS

Further research is needed to determine the mechanisms of action of the microbiota in hypertension. The aim of this study was to evaluate the influence of gut microbiota on blood pressure regulation and the progression of hypertension-related complications, such as cardiovascular and kidney disorders.

Metformin effectively alleviates the symptoms of Alzheimer in rats by lowering amyloid β deposition and enhancing the insulin signal

Alzheimer's disease (AD) exhibits distinct biochemical and histopathological attributes, encompassing cellular, neuronal, and oxidative impairment. There is also an abnormal buildup, misfolding and clumping of amyloid β (Aβ). The present study aimed to explore the influence of the antihyperglycemic agent metformin on rats with AD-like symptoms, while also elucidating the intricate relationship between insulin resistance and AD. The rats were categorized into five groups: a control group, a saline-administered group, a metformin-treated group, AD-model rats, and AD-rats treated with a 200 mg/kg dose of metformin. Cognitive impairment was rated using the classical labyrinth test. Moreover, serum biochemical parameters, encompassing glucose levels, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), Glycated hemoglobin (HbA1c), lipid profile, kidney, and liver function, were evaluated. Additionally, oxidative, antioxidant, and neurotransmitter parameters were measured in hippocampus tissues. Also, the Aβ and insulin receptor substrate 2 (IRS-2) were measured by immunoblotting. Besides hippocampal histopathology, glial fibrillary acidic protein (GFAP) and calretinin immunoreactivity were monitored. The study findings disclosed deficits in memory and learning capabilities among AD rats. Furthermore, AD-afflicted rats exhibited heightened glucose levels, elevated HOMA-IR and HbA1c values, alongside compromised liver, and kidney functions. Additionally, an upsurge in oxidative stress coincided with a notable reduction in the antioxidant system and neurotransmitters activities. The levels of Aβ deposition increased, while IRS-2 expression subsided, accompanied by alterations in the hippocampal structure and neuronal damage. These changes were paralleled by an intensification in GFAP reactivity and a detracting in calretinin reactivity. Metformin was altogether able to move forward cognitive execution by means of bringing down oxidative stress and Aβ conglomeration. Furthermore, metformin was able to improve neurotransmitters and insulin signals. AD, glucose impairment, and brain insulin resistance are completely interlinked, and future AD medications may be inspired by diabetic medication.