Adiponectin-resistin index and its strong association with acute coronary syndrome in South Indian men

The Influence of Body Composition, Lifestyle, and Dietary Components on Adiponectin and Resistin Levels and AR Index in Obese Individuals

Adipose tissue of obese people secretes a number of adipokines, including adiponectin and resistin, which have an antagonistic effect on the human metabolism, influencing the pathogenesis of many diseases based on low-grade inflammation. Body composition analysis using bioelectrical impedance analysis (BIA) was performed in 84 adults with obesity, i.e., body mass index (BMI) greater than or equal to 30 kg/m2. Serum was collected to analyze the concentration of adiponectin (ApN) and resistin. The subjects additionally completed a food frequency questionnaire FFQ-6 and a three-day food diary. Adiponectin-resistin index (AR index) was calculated. The results show a positive correlation between resistin levels and BMI and subcutaneous fat content. AR index value was also positively associated with the amount of adipose tissue and body mass. Adiponectin level in the serum of the studied individuals decreased with the content of lean tissue. Adiponectin level also decreased with the amount of carbohydrates, amount of starch, and glycemic load of the diet. Resistin decreased in patients who frequently consumed white pasta and red meat, while AR index was positively associated with the amount of white rice and saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs) consumed but negatively associated with the frequent consumption of carbohydrates, including starch. Physical activity was negatively correlated with adiponectin levels and AR index. We concluded that body composition significantly influenced serum resistin and adiponectin concentrations the AR index. Dietary components also had a significant effect.

The Trend of Changes in Adiponectin, Resistin, and Adiponectin-Resistin Index Values in Type 2 Diabetic Patients with the Development of Metabolic Syndrome

Background and Objectives: This study aimed to investigate the novel adiponectin-resistin (AR) index as a predictor of the development of metabolic syndrome (MetS) in individuals with type 2 diabetes mellitus (T2DM). MetS is common in T2DM and increases cardiovascular risk. Adiponectin and resistin, adipokines with opposing effects on insulin sensitivity and inflammation, make the AR index a potential marker for metabolic risk. Materials and Methods: This prospective observational study included 80 T2DM participants (ages 30-60) from Sarajevo, Bosnia and Herzegovina, over 24 months. The participants were divided into two groups: T2DM with MetS (n = 48) and T2DM without MetS (n = 32). Anthropometric data, biochemical analyses, and serum levels of adiponectin and resistin were measured at baseline and every six months. The AR index was calculated using the formula AR = 1 + log10(R) - 1 + log10(A), where R and A represent resistin and adiponectin concentrations. Logistic regression identified predictors of MetS. Results: T2DM patients who developed MetS showed a significant decline in adiponectin levels (40.19 to 32.49 ng/mL, p = 0.02) and a rise in resistin levels (284.50 to 315.21 pg/mL, p = 0.001). The AR index increased from 2.85 to 2.98 (p = 0.001). The AR index and resistin were independent predictors of MetS after 18 months, with the AR index showing a stronger predictive value (p = 0.007; EXP(B) = 1.265). Conclusions: The AR index is a practical marker for predicting MetS development in T2DM participants, improving metabolic risk stratification. Incorporating it into clinical assessments may enhance early detection and treatment strategies.

Prognostic role of inflammatory cytokines and novel adipokines in acute myocardial infarction: An updated and comprehensive review

Acute myocardial infarction (AMI) is one of the major causes of morbidity and mortality worldwide. The inflammation response during and after AMI is common and seems to play a key role in the peri-AMI period, related with ischaemia-reperfusion injury, adverse cardiac remodelling, infarct size and poor prognosis. In this article, we provide an updated and comprehensive overview of the most important cytokines and adipokines involved in the complex pathophysiology mechanisms in AMI, summarizing their prognostic role post-AMI. Data so far support that elevated levels of the major proinflammatory cytokines TNFα, IL-6 and IL-1 and the adipokines adiponectin, visfatin and resistin, are linked to high mortality and morbidity. In contrary, there is evidence that anti-inflammatory cytokines and adipokines as IL-10, omentin-1 and ghrelin can suppress the AMI-induced inflammatory response and are correlated with better prognosis. Mixed data make unclear the role of the novel adipokines leptin and apelin. After all, imbalance of pro-inflammatory and anti-inflammatory cytokines may result in worst AMI prognosis. The incorporation of these inflammation biomarkers in established prognostic models could further improve their prognostic power improving overall the management of AMI patients.

Perivascular adipose tissue (PVAT) in atherosclerosis: a double-edged sword

Perivascular adipose tissue (PVAT), the adipose tissue that surrounds most of the vasculature, has emerged as an active component of the blood vessel wall regulating vascular homeostasis and affecting the pathogenesis of atherosclerosis. Although PVAT characteristics resemble both brown and white adipose tissues, recent evidence suggests that PVAT develops from its own distinct precursors implying a closer link between PVAT and vascular system. Under physiological conditions, PVAT has potent anti-atherogenic properties mediated by its ability to secrete various biologically active factors that induce non-shivering thermogenesis and metabolize fatty acids. In contrast, under pathological conditions (mainly obesity), PVAT becomes dysfunctional, loses its thermogenic capacity and secretes pro-inflammatory adipokines that induce endothelial dysfunction and infiltration of inflammatory cells, promoting atherosclerosis development. Since PVAT plays crucial roles in regulating key steps of atherosclerosis development, it may constitute a novel therapeutic target for the prevention and treatment of atherosclerosis. Here, we review the current literature regarding the roles of PVAT in the pathogenesis of atherosclerosis.

The Role of Adipocytokines in Coronary Atherosclerosis

PURPOSE OF REVIEW

The aim of this review is to overview the pathophysiological role of adipocytokines in atherogenesis, focusing on their potential role as biomarkers of coronary disease.

RECENT FINDINGS

Several lines of evidence indicated adipose tissue not only as depot but rather as an endocrine organ. In this context, the balance between pro- and anti-inflammatory adipocytokines has been shown to critically regulate vascular homeostasis in both physiological and pathophysiological conditions. Overweight and obesity are characterized by dysfunctional adipose tissue and then the prevalence of pro-inflammatory mediators, with a detrimental effect on vascular health. As opposite to adiponectin, pro-inflammatory adipocytokines, such as leptin and resistin, promote endothelial dysfunction and inflammatory processes involved in atherosclerotic plaque progression and vulnerability. Therefore, many adipocytokines have been investigated as potential biomarkers of cardiovascular (CV) risk, but their role has not yet been clearly established. Furthermore, the perivascular adipose tissue recently emerged as a critical modulator of atherosclerotic processes, due to the close interaction with the underlying vascular tissue. The ongoing discovery of new adipocytokines and the complex pathophysiological role of the different adipose tissue depots strongly contribute to define the complexity of adipocytokines network. Understanding those complex interactions may allow determining new potential biomarkers of CV risk and potential therapeutic targets.

Triglyceride Glucose-Body Mass Index Is a Simple and Clinically Useful Surrogate Marker for Insulin Resistance in Nondiabetic Individuals

Background

Insulin resistance (IR) and the consequences of compensatory hyperinsulinemia are pathogenic factors for a set of metabolic abnormalities, which contribute to the development of diabetes mellitus and cardiovascular diseases. We compared traditional lipid levels and ratios and combined them with fasting plasma glucose (FPG) levels or adiposity status for determining their efficiency as independent risk factors for IR.

Methods

We enrolled 511 Taiwanese individuals for the analysis. The clinical usefulness of various parameters—such as traditional lipid levels and ratios; visceral adiposity indicators, visceral adiposity index (VAI), and lipid accumulation product (LAP); the product of triglyceride (TG) and FPG (the TyG index); TyG with adiposity status (TyG-body mass index [BMI]) and TyG-waist circumference index [WC]); and adipokine levels and ratios—was analyzed to identify IR.

Results

For all lipid ratios, the TG/high-density lipoprotein cholesterol (HDL-C) ratio had the highest additional percentage of variation in the homeostasis model assessment of insulin resistance (HOMA-IR; 7.0% in total); for all variables of interest, TyG-BMI and leptin-adiponectin ratio (LAR) were strongly associated with HOMA-IR, with 16.6% and 23.2% of variability, respectively. A logistic regression analysis revealed similar patterns. A receiver operating characteristic (ROC) curve analysis indicated that TG/HDL-C was a more efficient IR discriminator than other lipid variables or ratios. The area under the ROC curve (AUC) for VAI (0.734) and TyG (0.708) was larger than that for TG/HDL-C (0.707). TyG-BMI and LAR had the largest AUC (0.801 and 0.801, respectively).

Conclusion

TyG-BMI is a simple, powerful, and clinically useful surrogate marker for early identification of IR.