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Obesity is an important feature of the metabolic syndrome and is associated with an increased risk of type 2 diabetes mellitus, cardiovascular disease, and some cancers. The aim of this study was to determine the relationship between body fat percentage and an imbalance of the prooxidant/antioxidant balance (PAB), serum superoxide dismutase (SOD1) and inflammation (serum hs-CRP) and increase risk of metabolic syndrome and diabetes mellitus. In this study, 9154 individuals were recruited as part of the Mashhad Stroke and Heart Association Disorder (MASHAD) study. Subjects were categorized into two groups according to body fat percentage as defined >25% in male and > 30% in female, according to gender. Biochemical factors, including serum PAB, SOD1, and hs-CRP were measured in all subjects. SPSS version 18 was used for statistical analyses for all. GraphPad Prism 6 for figures was used. Of total number of subjects (9154), 6748 (73.7%) were found to have a high body fat (BF) percentage. Serum hs-CRP and PAB were significantly higher in individuals with a high BF percentage (P 0.05). BF percentage, serum PAB and serum hs-CRP were significantly higher in individuals with metabolic syndrome and diabetes versus those without metabolic syndrome and diabetes mellitus (P < 0.05), however serum SOD1 was significantly lower in individuals with metabolic syndrome (P < 0.005). Oxidative stress and inflammation are two factors that may link the presence of high BF percentage with the development of metabolic syndrome, diabetes, and cardiovascular disease. © 2018 BioFactors, 45(1):35-42, 2019.

Background and aims: There is persuasive evidence that oxidative stress and inflammation are features of the metabolic syndrome (MetS). We have investigated the relationship between serum pro-oxidant antioxidant balance (PAB), serum uric acid and high sensitive C-reactive protein (hs-CRP) in 7208 participants from the MASHAD study cohort, who were categorized as having MetS, or not, using IDF criteria. Methods: Serum fasting lipid, fasting blood glucose and uric acid concentrations were measured enzymatically using commercial kits on a BT- 3000 autoanalyzer (Biotechnical, Rome, Italy). Serum hs-CRP was measured by PEG-enhanced immunoturbidimetry method using an Alycon analyzer (ABBOTT, Chicago, IL, USA). A colorimetric method was used to determine serum PAB. Results: Serum PAB values were significantly higher in the individuals with MetS compared to those without MetS (p

Metabolic syndrome is a clustering of metabolic abnormalities that include central obesity, dyslipidemia, insulin resistance, and increased blood pressure. The aim of this study was to evaluate and identify the risk factors associated with metabolic syndrome by using a decision tree algorithm as a data mining tool. A total of 6578 individuals were included in the analysis using a body mass index (BMI) cutoff >= 25 kg/m2 for the definition of overweight, in accordance with International Diabetic Federation (IDF) criteria. Subjects with obesity plus two or more of the criteria for defining metabolic syndrome were included in the metabolic syndrome group. Of the 6578 subjects, 70% (4539 subjects) were selected as a “training” dataset and 30% (2039 cases) were used as the testing dataset to evaluate the performance of decision tree. Two models were evaluated. In model I, age, sex, educational level, marriage and job status, fasted serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), uric acid, fasting blood glucose (FBG), high sensitive C-reactive protein (Hs-CRP), systolic (SBP) and diastolic (DBP) blood pressure, and physical activity level were considered as input variables and in model II, age, gender, Hs-CRP, white blood cell (WBC), red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), Platelets (PLT), red cell distribution width (RDW), and platelet distribution width (PDW) were used as input variables. The validation of the model was assessed by constructing a receiver operating characteristic (ROC) curve. The results showed that in model I, serum fasted TG was the most important associated risk factor for metabolic syndrome. In model II, serum Hs-CRP was identified as a risk factor of metabolic syndrome. The sensitivity, specificity, accuracy, and the area under the ROC curve (AUC) values for model I were 99%, 94%, 97% and 0.972 and for model II were 74%, 77%, 76% and 0.812, respectively. Our findings in model I suggest that the IDF criteria are suitable for identifying individuals within the Iranian population into those with, or without MetS. Furthermore, model II showed that serum Hs-CRP concentrations were identified as a risk factor for metabolic syndrome within the Iranian population.

BACKGROUND: Combination of dyslipidemic phenotypes, including elevated plasma levels of low‐density lipoprotein cholesterol (LDL‐C), elevated plasma triglycerides (TG), and decreased low‐density lipoprotein cholesterol (HDL‐C) concentrations, is important because of the association of individual phenotypes with increased risk of cardiovascular disease (CVD). We investigated the prevalence of combined dyslipidemias and their effects on CVD risk in an Iranian large population. METHOD: A total of 9847 individuals were recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD) cohort study. Anthropometric parameters and biochemical indices were measured in all of the subjects. Different types of combined dyslipidemias including high TG + low HDL‐C, high TG + low HDL‐C + high LDL‐C, low HDL‐C + high LDL‐C, high TG + high LDL‐C, and finally high TG + high LDL‐C + low HDL‐C were considered. Ten‐year CVD risk was calculated using the QRISK2 risk algorithm and adjustments were made as suggested by the Joint British Societies’ (JBS2). Logistic regression analyses were performed to determine the association between different combined dyslipidemias and categorical QRISK. RESULTS: A total of 3952 males and 5895 females were included in this current study. Among the included subjects, 83.4% had one form of dyslipidemia, and 16.6% subjects were not dyslipidemic. The mean age was 48.88 ± 7.9 and 47.02 ± 8.54 years for dyslipidemic and nondyslipidemic groups, respectively. The results showed that the frequency of dyslipidemia was 98%, 87.1%, and 90% in subjects with metabolic syndrome, CVD, and diabetes, respectively. Our results suggested that around 15.7% of study population were at 10 years CVD risk (high ≥20) and it was higher in men than women (P

Background: Depression and anxiety are two important mood disorders that are frequently associated with chronic diseases such as cardiovascular diseases (CVDs). Hyper-inflammation is related to both CVDs and psychiatric conditions such as depression and anxiety. Therefore, inflammation may partially explain the relationship between depression and cardiovascular disease.\ud \ud Objective: The objective of this study was to investigate the association between symptoms of depression/anxiety disorders and serum hs-CRP and inflammation linked conditions in a large Iranian population. \ud Methods: Symptoms of depression and anxiety disorders and serum hs-CRP levels were measured in 9,759 participants (40% males and 60% females) enrolled in MASHAD study. Symptoms of depression and anxiety were evaluated with Beck Depression and Anxiety Inventories. According to the scores of depression and anxiety, individuals were categorized into four groups of no or minimal, low, moderate and severe categories.\ud \ud Results: The median serum hs-CRP concentration increased with increasing severity of depression and anxiety disorders. Male participants with severe depression had significantly higher levels of hs-CRP (p

Depression and anxiety are two important mood disorders that are frequently associated with chronic diseases such as cardiovascular diseases (CVDs). Hyper-inflammation is related to both CVDs and psychological conditions such as depression and anxiety. Therefore, inflammation may partially explain the relationship between depression and cardiovascular disease.The objective of this study was to perform a gender-stratified examination of the association between symptoms of depression/anxiety disorders and serum hs-CRP and inflammation linked conditions in a large Iranian population.Symptoms of depression and anxiety disorders and serum hs-CRP levels were measured in 9759 participants (40% males and 60% females) aged 35-65 years, enrolled in a population-based cohort (MASHAD) study in north-eastern Iran. Symptoms of depression and anxiety were evaluated with Beck Depression and Anxiety Inventories. According to the scores of depression and anxiety, individuals were categorized into four groups of no or minimal, low, moderate and severe categories.The median serum hs-CRP concentration increased with increasing severity of depression and anxiety disorders. Male participants with severe depression had significantly higher levels of hs-CRP (p0.001); however, this relationship was less marked among women (p=0.04). Subjects with severe anxiety also had significantly higher levels of hs-CRP (p0.001). Moreover, women with severe depression and anxiety had higher BMI. There was also a positive association between current smoking habit and depression/anxiety disorders.Depression and anxiety disorders are associated with elevated levels of hs-CRP, particularly among men. Also, there is a significant positive association between depression/anxiety disorders and inflammation linked conditions such as smoking and obesity; however, in the case of obesity this association is only present in women.