Markers Of Metabolic Syndrome Research Articles

The Synergistic Enhancement of Anti-Metabolic Diseases Function of Morus alba with the Combination of Cha [Camellia sinensis

Background: Functional foods play an important role in the prevention and ameliora-tion of metabolic syndromes leading to type 2 diabetes. Plant resources that have anti-metabolic syndromes activity, such as Morus alba L. and Cha [Camellia sinensis L.], have been used in functional foods against diabetes. Since Morus and Cha have different mechanisms of action against metabolic syndromes, such as prevention of sugar uptake and lipidosis, respectively, and the combination of both resources will be a reliable approach for developing more efficient functional food against type 2 diabetes because certain synergism is expected in their functions. Methods: Male Wister Rats were fed the high fat-high sucrose [HFHS] diet for 12 weeks, with and without supplementation of Morus and Cha alone and their combination, and the effect of their supplementation on the markers of the metabolic syndrome such as obesity, lipidosis, and fatty liver formation, were examined. Results: Several metabolic syndrome markers, including body weight gain, lipid deposit, and fatty liver formation, were more significantly prevented by the diet supplemented with Morus and Cha combination compared to Morus or Cha given separately . Conclusion: Appropriate formulation of food resources with different functional mechanisms is a promising strategy for developing effective dietary treatment of type 2 diabetes that is a typical Mibyou.

Immunoproteasomal Inhibition With ONX-0914 Attenuates Atherosclerosis and Reduces White Adipose Tissue Mass and Metabolic Syndrome in Mice.

Atherosclerosis is the major underlying pathology of cardiovascular disease and is driven by dyslipidemia and inflammation. Inhibition of the immunoproteasome, a proteasome variant that is predominantly expressed by immune cells and plays an important role in antigen presentation, has been shown to have immunosuppressive effects. We assessed the effect of ONX-0914, an inhibitor of the immunoproteasomal catalytic subunits LMP7 (proteasome subunit β5i/large multifunctional peptidase 7) and LMP2 (proteasome subunit β1i/large multifunctional peptidase 2), on atherosclerosis and metabolism in LDLr-/- and APOE*3-Leiden.CETP mice. ONX-0914 treatment significantly reduced atherosclerosis, reduced dendritic cell and macrophage levels and their activation, as well as the levels of antigen-experienced T cells during early plaque formation, and Th1 cells in advanced atherosclerosis in young and aged mice in various immune compartments. Additionally, ONX-0914 treatment led to a strong reduction in white adipose tissue mass and adipocyte progenitors, which coincided with neutrophil and macrophage accumulation in white adipose tissue. ONX-0914 reduced intestinal triglyceride uptake and gastric emptying, likely contributing to the reduction in white adipose tissue mass, as ONX-0914 did not increase energy expenditure or reduce total food intake. Concomitant with the reduction in white adipose tissue mass upon ONX-0914 treatment, we observed improvements in markers of metabolic syndrome, including lowered plasma triglyceride levels, insulin levels, and fasting blood glucose. We propose that immunoproteasomal inhibition reduces 3 major causes underlying cardiovascular disease, dyslipidemia, metabolic syndrome, and inflammation and is a new target in drug development for atherosclerosis treatment.

Sleeve Gastrectomy Reduces Oxidative Stress and Reverses Mitochondrial Dysfunction Associated with Metabolic Syndrome.

Previous studies have detected mitochondrial alterations in tissues of individuals with obesity and type 2 diabetes mellitus (T2DM). Metabolic surgery could be an effective treatment to improve mitochondrial morphology and reduce oxidative stress (OS). An experimental study was carried out using 48 male Wistar rats, divided into 6 groups (n = 8): control (C), induced Metabolic Syndrome (MS); intervention with sleeve gastrectomy (SG), MS + SG with 6weeks postoperatively (MS + SG6), MS + SG with 12weeks postoperatively (MS + SG12), and MS + SG with 24weeks postoperatively (MS + SG24). Biochemical markers indicative of MS (glycemia, cholesterol, and triglyceride levels) and oxidative stress markers (nitric oxide levels, Superoxide dismutase and Myeloperoxidase activity) were determined. To study mitochondrial morphology, tissue sections of the thoracic aorta, stomach, liver, heart, and kidney were observed by electron microscopy. MS group exhibited elevated glycemic values and dyslipidemia. SG and MS + SG groups showed improvements in glycemia and lipid profiles compared to MS. OS biomarkers indicated reduced oxidative stress in SG and MS + SG groups compared to MS. Electron microscopy revealed mitochondrial alterations in MS. SG group showed no changes compared to the control. MS + SG6 and MS + SG12 groups showed a recovery of mitochondrial morphology until reaching images similar to the control in MS + SG24. Metabolic surgery could improve mitochondrial function by restoring mitochondrial morphology and architecture and, consequently, reducing systemic oxidative stress and remitting associated metabolic alterations.

To Study the Evidence of Linking Adipokines (Adiponectin, Leptin) with Metabolic Syndrome: A Systematic Review

Background: A growing body of world health has shown that there is a correlation between derangement of adipokines section and metabolic syndrome, but a small number of studies also refused the data. Considering these aspects, this study is intense in pursuing precise knowledge regarding the same and the conclusion. Aim and Objective: This study investigates the connection between markers of metabolic syndrome and adipokines, particularly leptin and adiponectin. Methods: PubMed, Scopus, and Web of Science databases were used for a thorough literature review. From 2013 to 2023, the terms “adipokines and metabolic syndrome”, “adiponectin and metabolic syndrome”, and “leptin and metabolic syndrome” were searched. This review made use of the preferred reporting items for systematic review and meta. Results: About 3448 previous studies were searched, of which 85 studies fulfilled the inclusion and exclusion criteria. A total of 85 papers comprised this systematic review, and we examined 60 of them. An overvalue of most studies showed that decreased adiponectin levels are linked with a higher risk of metabolic syndrome. However, patients with metabolic syndrome had higher risk levels of both leptin and the leptin-adiponectin ratio. Conclusions: Obesity affects the generation of adipokines, which regulates the many factors of the metabolic syndrome, through unique and linked pathways. Therefore, we conclude that obesity resulting from a high-fat, high-sugar, high-lipid diet may affect various organs, increasing the risk of metabolic diseases and the underlying causes of insulin resistance and triggering an inflammatory response.

Neck circumference as an alternative marker of metabolic syndrome in Peruvian adults: A retrospective, cross-sectional study

Neck circumference is a low-cost and simple anthropometric measure that has been proven to accurately assess central obesity. However, evidence of its use and feasibility in low-resource settings is limited. We aimed to compare the utility of neck circumference with standard physical measures of obesity in northern Peru. This was a retrospective, cross-sectional study conducted among adults screened for metabolic syndrome. Body mass index, waist circumference, neck circumference, and additional measurements for metabolic syndrome were obtained. Assessments were performed following the WHO STEPS Surveillance Manual. Pearson correlation coefficients and multiple linear regression models were used to estimate the relationship of neck circumference to waist circumference and body mass index. Data from 250 participants showed a normal, homogeneous distribution in both men and women with respect to age and physical/biochemical measurements. The mean age was 53.6 years. A positive correlation of neck circumference with body mass index (r = 0.51 for women and 0.65 for men) and waist circumference (r = 0.6 for women and 0.74 for men) was observed. Multiple linear regression showed that a 1-cm increase in neck circumference increased body mass index by 0.72 kg/m2 (p < 0.001) in men and 0.94 kg/m2 (p < 0.001) in women, and waist circumference by 2.20 cm (p < 0.001) in men and 2.27 cm (p < 0.001) in women. Our findings suggest that neck circumference is a valid and reliable measure that will replace body mass index and waist circumference in Peruvian adults with central obesity; due to the strong correlation that exists between the NC and these anthropometric measurements, mainly because it is an easy, quick measurement and is less vulnerable to errors such as in the measurement of abdominal circumference or variabilities in weight.

The Circulating Selenium Concentration Is Positively Related to the Lipid Accumulation Product: A Population-Based Cross-Sectional Study.

The lipid accumulation product (LAP) is a reliable marker of metabolic syndrome, which includes conditions like obesity. However, the correlation between the circulating selenium (CSe) concentration and the LAP is currently unclear. This study aimed to ascertain this correlation. Overall, 12,815 adults aged ≥20 years were enrolled in this study. After adjusting for all the confounding variables, CSe was positively correlated to the LAP (β = 0.41; 95% confidence interval [CI]: 0.28, 0.54; p < 0.001). Compared with the lowest quartile of CSe, the highest quartile of CSe was positively related to the LAP (β = 0.16; 95% CI: 0.12, 0.21; p < 0.001). Moreover, the correlation between CSe and the LAP revealed a positive non-linear trend. In the subgroup analysis, interaction effects were observed for age, sex, smoking, and stroke (p for interaction < 0.05). The effects were stronger for males (β = 0.64, 95% CI: 0.47, 0.80; p < 0.001) and individuals who smoke at the time of the trial (β = 0.64, 95% CI: 0.37, 0.91; p < 0.001). In conclusion, our results indicated that CSe was positively correlated with the LAP in a non-linear manner. Future research is warranted to explore their relationship and better understand the mechanisms underlying this association.

Triglyceride-glucose index is an independent predictor of coronary artery calcification progression in patients with chronic kidney disease.

Coronary artery calcification (CAC) is highly prevalent in patients with chronic kidney disease (CKD) and is associated with major adverse cardiovascular events and metabolic disturbances. The triglyceride-glucose index (TyGI), a novel surrogate marker of metabolic syndrome and insulin resistance, is associated with CAC in the general population and in patients with diabetes. This study investigated the association between the TyGI and CAC progression in patients with CKD, which is unknown. A total of 1,154 patients with CKD (grades 1-5; age, 52.8 ± 11.9 years; male, 688 [59.6%]) were enrolled from the KNOWCKD (KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease). The TyGI was calculated as follows: ln (fasting triglycerides × fasting glucose/2). Patients were classified into tertiles (low, intermediate, high) based on the TyGI. The primary outcome was annualized percentage change in CAC score [(percent change in CAC score + 1)12/follow-up months - 1] of ≥15%, defined as CAC progression. During the 4-year follow-up, the percentage of patients with CAC progression increased across TyGI groups (28.6%, 37.5%, and 46.2% in low, intermediate, and high groups, respectively; p < 0.001). A high TyGI was associated with an increased risk of CAC progression (odds ratio [OR], 2.11; 95% confidence interval [CI], 1.14-3.88; p = 0.02) compared to the low group. Moreover, a 1-point increase in the TyGI was related to increased risk of CAC progression (OR, 1.55; 95% CI, 1.06-1.76; p = 0.02) after adjustment. A high TyGI may be a useful predictor of CAC progression in CKD.

Effects of 12 weeks of power-oriented resistance training plus high-intensity interval training on metabolic syndrome factors in older people with COPD

Abstract Objectives To assess the effects of an exercise training program combining power-oriented resistance training (RT) and high-intensity interval training (HIIT) on metabolic syndrome (MetS) markers in older people with COPD. Methods Twenty-nine older people (66–90 years old) with COPD were randomly assigned to 12 weeks of exercise training (ET; power-oriented RT + HIIT) or a control group (CON). Waist circumference, diastolic (DBP) and systolic blood pressure (SBP), and serum fasting glucose, triglycerides and HDL cholesterol levels were assessed at baseline and after 12 weeks. Linear mixed-effects models were used to assess the effects of the intervention, and data were reported as mean and 95 % confidence interval values. Results Waist circumference increased in the CT group, but not in the ET group (2.0 [0.2, 3.7] vs. 1.0 [−1.3, 3.2] cm, respectively). No changes in fasting glucose (−4.1 [−10.3, 2.1] vs. −1.0 [−8.7, 6.7] mg dL−1), triglycerides (3.9 [−13.4, 21.3] vs. −13.9 [−35.6, 7.7] mg dL−1) or HDL cholesterol (1.0 [−3.4, 5.4] vs. 2.9 [−2.6, 8.4] mg dL−1) were found in the CT or ET group, respectively. The ET group exhibited decreased DBP (−5.2 [−9.5, −0.8] mmHg) and SBP (−2.7 [−22.7, −2.7] mmHg), while no changes were found in the CT group (0.3 [−3.2, 3.7] and −3.5 [−11.4, 4.5] mmHg). MetS z-score declined in ET but remained unchanged in CT (−0.88 [−1.74, −0.03] vs. 0.07 [−0.62, 0.76], respectively). Conclusions A 12-week exercise training program led to a reduction in blood pressure and MetS z-score in older people with COPD.

Correlates of metabolic syndrome in people with chronic spinal cord injury.

We aimed at identifying clinical risk factors or early markers of metabolic syndrome (MetS) in people with spinal cord injury (SCI) that would facilitate a timely diagnosis and implementation of preventive/therapeutic strategies. One hundred sixty-eight individuals with chronic (> 1year) SCI underwent clinical and biochemical evaluations. MetS was diagnosed according to modified criteria of the International Diabetes Federation validated in people with SCI. Wilcoxon rank-sum test and χ2 test were used to compare variables between groups with and without MetS. Multiple logistic regression analysis was performed to reveal independent associations with MetS among variables selected by univariate linear regression analyses. MetS was diagnosed in 56 of 132 men (42.4%) and 17 of 36 women (47.2%). At univariate regression analyses, putative predictors of MetS were an older age, a higher number of comorbidities, a lower insulin-sensitivity, the presence and intensity of pain, a shorter injury duration, a poorer leisure time physical activity (LTPA) and an incomplete motor injury. At the multiple logistic regression analysis, a significant independent association with MetS only persisted for a poorer LTPA in hours/week (OR: 0.880, 95% CI 0.770, 0.990) and more severe pain symptoms as assessed by the numeral rating scale (OR: 1.353, 95% CI 1.085, 1.793). In people with chronic SCI, intense pain symptoms and poor LTPA may indicate a high likelihood of MetS, regardless of age, SCI duration, motor disability degree, insulin-sensitivity and comorbidities.

A Comparative Study Between The Levels of Adropin in Iraqi Women with Metabolic Syndrome and Diabetes

By measuring Adropin, fasting blood glucose (FBG), cholesterol, high-density lipoprotein (HDL), triglycerides (TG), low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL) in the sera of Iraqi patients with MetS and type 2 diabetes mellitus (T2DM), the current study was designed to compare some crucial markers in metabolic syndrome (MetS) sera and diabetic patients (T2DM) with control. Twenty female subjects were divided into three groups: group I=40 with MetS and group II=40 with T2DM, and 40 healthy subjects were employed as a control group. Compared to the control group, Adropin levels in the Mets group and T2DM group decreased significantly (p &lt; 0.05). In contrast, none of the patient groups (MetS and T2DM) showed any change compared to themselves. In conclusion, according to the present data, higher levels of FBG, lipid profile, and increased blood pressure (BP) were found in patients with MetS and T2DM. A drop in level could be considered a novel indicator of MetS and T2DM. Compared to T2DM patients, Adropin levels are thought to have a more sensitive diagnostic function than those with MetS and newly diagnosed DM.

Investigation of DNA damage and inflammatory marker profile in patients after bariatric surgery

Abstract&#x0D; Purpose: Obesity is a significant risk factor in the development of many serious diseases. The most prominent ones among them are diabetes and coronary heart disease. Elevated blood sugar levels in obese individuals lead to increased susceptibility to infections due to the suppression of the immune response. Moreover, fatty skin folds can cause topical infections, ulcers, and delayed/impaired wound healing. Therefore, inflammatory and pro-inflammatory markers in the serum have gained importance in diseases such as diabetes and obesity. Furthermore, in obesity, reactive oxygen species (ROS) lead to DNA damage. 8-oxo-dG, which is the primary product of DNA oxidation, can be detected in the serum, saliva, and urine, making it an ideal biological marker for DNA damage in large population-based studies. The Comet assay analysis is a method used to demonstrate the double-strand breaks in DNA. Induction of γ-H2AX in tissue indicates the initiation of a well-regulated mechanism to reverse double-strand breaks in DNA. Potential benefits of monitoring the genomic health in obesity include creating a sense of urgency for personalized intervention measures and evaluating their progress. DNA damage in obesity is believed to be a reversible condition. Chronic inflammation is an etiological factor known to support DNA damage and neoplastic transformations in cells. Cytokines secreted from adipose tissue, especially TNF-alpha, IL-6, and IL-1β, promote the accumulation of various cells, including neutrophils, macrophages, and dendritic cells, and it indicates the initiation of an inflammatory process. In this project, it was aimed to investigate possible changes in inflammation markers and DNA damage in individuals undergoing bariatric surgery, who were beginning to improve endocrine and metabolic syndrome markers. &#x0D; Materials and methods: For this purpose, blood and urine samples were collected from 45 obese patients, who had undergone bariatric surgery and 45 healthy volunteers matched for age and gender. The levels of inflammatory markers (IL-1β, IL-6, IL-8, and TNF-α) and the DNA damage marker γ-H2AX in serum, as well as the amount of 8-oxo-dG in urine, were determined using ELISA. Additionally, the percentage of DNA damage was determined using the Comet assay analysis. &#x0D; Results: Weight control achieved through bariatric surgery and the subsequent reduction in fat tissue resulted in a significant decrease in the levels of γ-H2AX and 8-oxo-dG, as well as a parallel significant reduction in the percentage of DNA damage in the Comet assay results. The significant decrease in inflammatory markers IL-1β, IL-6, IL-8, and TNF-α levels indicated that bariatric surgery also affects inflammation indirectly. &#x0D; Conclusion: Although there are numerous studies in the literature on individual parameters related to DNA damage in various diseases and obesity, it is believed that the present study determining DNA damage, oxidation, and repair mechanisms simultaneously with inflammatory marker levels serves as a guiding example for comparing genomic health and stability in pre-obese, post-obese, and non-obese individuals.

Lipid accumulation product is an effective predictor of metabolic syndrome in non-obese women with polycystic ovary syndrome.

To explore the correlation of lipid accumulation product (LAP) with metabolic syndrome (MS) and to assess the predictive value of LAP for MS risk in polycystic ovary syndrome (PCOS) with different body mass index (BMI). A total of 242 PCOS patients and 150 controls were recruited and divided into normal-weight, overweight, and obese groups, then further divided into MS and without MS subgroups. Clinical and anthropometric variables and laboratory results were recorded. LAP was calculated from waist circumference (WC) and triglyceride using sex-specific formulae. Logistic regression analysis and receiver operating characteristic (ROC) curve were applied to determine and analyze the predictive value of LAP for MS. The prevalence of MS among PCOS patients was 45.04%, which was significantly higher than that of the controls (10%). Stratified by BMI, the incidence of MS in the normal-weight, overweight, and obese PCOS groups were 15.58%, 41.43%, and 71.58%, respectively. Logistic regression analysis indicated that LAP was an independent risk factor for MS in both normal-weight and overweight groups; however, the results were not significant in the obese group. ROC curve analysis showed that LAP had an outstanding discrimination index for MS in normal-weight (AUC=0.960, cut-off value=42.5) and overweight (AUC=0.937, cut-off value=47.93) PCOS patients, with a sensitivity of 0.917/0.931 (normal-weight/overweight) and a specificity of 0.969/0.854 (normal-weight/overweight), respectively. Normal-weight and overweight PCOS patients also have a fairly high incidence of MS and should receive as much attention as obese patients. Compared to applying multiple clinical indicators, LAP is more convenient and facilitates acquiring early and accurate diagnoses of MS among non-obese PCOS patients using fewer MS markers.

Hormonal-metabolic trajectory of menopausal transition in a normoglycemic cohort of women with different blood pressure levels

Introduction. The gradual clustering of cardio-metabolic factors in women depending on age and decline of ovarian function justifies attention to the phenotype of the formation of the metabolic syndrome during the menopausal transition depending on the presence of hypertension without dysglycemia. Aim: to evaluate the association of indicators of the functional state of the pituitary-ovarian axis with markers of metabolic syndrome (MetS) and parameters of insulin resistance (IR) in a cohort of normoglycemic women aged 35-59 years with different levels of blood pressure (BP). Patients and methods. In a cohort of women 35–59 years old without dysglycemia (n = 88), 58 women had hypertension, 30 were normotensive. It was determined: body mass index (BMI), waist circumference (WC), levels of BP, triglycerides (TG), HDL-C, insulin, follicle-stimulating hormone (FSH) and estradiol, fasting glucose (FG); TyG and HOMA2-IR indices. Using SPSS (version 17) assessed the median (25; 75%); intergroup differences using the Mann-Whitney test; correlation analyzes: Spearman (R) and partial correlation (R рс ) to level out the influence of age. Results. In the general cohort of women, the influence of postmenopausal duration (PMD), FSH and E2 levels on MetS and TyG parameters depended on age, except for the correlation of PMD with FG (R pc = 0.313; p = 0.004). The range of associations of MetS markers with each other and TyG in the group of patients with hypertension is similar to those in the general cohort of women. In both cohorts, the interrelations between FG, OT, insulin and TyG remained relevant with partial correlation. The TyG index, associated with HOMA2-IR (R=0.600; p&lt;0.001; R pc =0.426; p&lt;0.001), had a greater range of connections with MetS components, as well as with FSH (R=0.312; p=0.017; R pc =0.286; p=0.030) and E2 (R= -0.393; p=0.002; R pc = -0.376; p=0.004) in the presence of hypertension. Conclusion. The influence of indicators of the functional state of the pituitary-ovarian axis on MetS and TyG markers was revealed, along with a spectrum of associations of parameters and factors in the formation of menopausal MetS with IR indices, especially TyG. Correlation relations between FG with PMD and MetS components, as well as estradiol in case of hypertension, reflect a high risk of progression to dysglycemia.

Association of Anthropometric Adiposity Indices and Hand Grip Strength among Male Industrial Workers in Chennai, Tamil Nadu, India: A Cross-Sectional Study.

Hand Grip Strength (HGS), a basic, non-invasive measure of musculoskeletal function is found to be a risk marker for cardiovascular diseases, respiratory diseases, diabetes, metabolic syndrome, and cancer. Considering the importance and paucity of studies among industrial workers, we aim to study the association between anthropometric adiposity indices and the HGS of industrial workers. The study is a descriptive, cross-sectional study. Anthropometric measurements and HGS of 198 male industrial workers between 21 and 60 years of age, employed at metal manufacturing industries in Chennai, Tamil Nadu, India were assessed. Descriptive and inferential statistics were done using "R" statistical software. The mean age of male industrial workers was 39.51 ± 12.20 years. The majority of the workers were found to be obese (64%) and the mean body fat percentage was 27.69 ± 5.13%. The mean HGS of the worker's dominant hand was found to be 35.80 ± 8.93 kg and of their non-dominant hand was 35.0 ± 8.67 kg. When compared to the normative values of HGS for Indians, results revealed significantly higher HGS of both dominant and non-dominant hands of workers between the age group of 21-30 years and 51-60 years. Multiple linear regression analysis revealed that body weight [β(s.e) =0.27 (0.05), P < 0.000], body fat [β(s.e) = -0.52 (0.14), P < 0.000) and WHR [β(s.e) = -28.81 (11.9), P = 0.017] independently predicted the HGS of dominant hand. In non-dominant hand, body weight [β(s.e) = 0.26 (0.05), P < 0.000] and body fat [β(s.e) = -0.60 (0.13), P < 0.000] independently predicted HGS. Body fat, body weight, and Waist-to-Hip ratio (WHR) were found to have a significant influence on the HGS of industrial workers. Strategies aimed to reduce overall body fat and abdominal obesity may prove beneficial in improving HGS and nutritional status thereby reducing the risk of non-communicable diseases.

Serum CCDC25 Levels as a Potential Marker for Metabolic Syndrome.

Metabolic syndrome (MetS) stands as a significant risk for developing various severe health problems. Therefore, the discovery of biomarkers capable of predicting the progression of metabolic conditions is crucial for improving overall health outcomes. Recently, we reported that coiled-coil domain containing 25 (CCDC25) might be associated with key proteins involved in metabolic pathways, by bioinformatics analysis. Thus, we assumed that serum CCDC25 levels might have an association with MetS status. In this study, based on the modified National Cholesterol Education Program-Adult Treatment Panel III (modified NCEP-ATP III) criteria, the participants who had three or more of abnormal criteria were defined as MetS, and those who had 1 or 2 abnormal criteria as pre-MetS groups; those who had no abnormal criteria were classified as the healthy control (HC) group. Serum CCDC25 levels were measured using the dot blot assay. The results showed that serum CCDC25 levels of the MetS group (0.072±0.026 ng/μl) were significantly higher (p<0.001) than that of pre-MetS (0.031±0.011 ng/μl) or HC groups (0.018±0.007 ng/μl). We can discern a consistent trend indicating that serum CCDC25 level is well correlated with the number of abnormal criteria of MetS of each participant. Although serum CCDC25 levels correlated with the distribution of all 5 MetS criteria, the highest correlation was seen in serum CCDC25 levels and triglyceride (TG) levels, with r=0.563, followed by systolic blood pressure (SBP) levels (r=0.557) and high-density lipoprotein-cholesterol (HDL-C) levels (r=-0.545). CCDC25 showed correlations with all MetS parameters, particularly with TG, SBP, and HDL-C. This prompts speculation that heightened CCDC25 levels may indicate the development and/or progression of those MetS-associated diseases.

A review of the effects of exercise training on the metabolic syndrome markers in postmenopausal and obese women

A review of the effects of exercise training on the metabolic syndrome markers in postmenopausal and obese women

Adiponectin/resistin evaluation is a gold biomarker for monitoring CVD in patients with metabolic syndrome

Abstract Introduction/Objective Introduction: Various studies have tried correlating specific inflammatory markers with metabolic syndrome. Serum adiponectin levels can serve as a biomarker that predicts metabolic syndrome development. Resistin is another adipose-tissue-derived hormone capable of promoting insulin resistance because it increases the reserve of triglycerides in the muscle and the liver rather than the adipose tissue. Methods/Case Report Objectives: To investigate the role of the adiponectin/resistin ratio in monitoring CVD in Jordanian adults with metabolic syndrome. Methods Eighty subjects were randomly selected from individuals who attended two clinical laboratories for routine checks during the period between January 2021 and March 2021. Forty-two participants had metabolic syndrome, while the other 38 represented the healthy group. Resistin and adiponectin were evaluated using the ELISA method, while the adiponectin/resistin ratio was calculated. Lipid profile, glucose and body mass index (BMI) were measured for all metabolic syndrome patients and healthy control ones. Results (if a Case Study enter NA) Results: Plasma resistin levels were significantly higher in metabolic syndrome patients than in healthy controls (p = 0.04), while no significance was found regarding adiponectin (p = 0.07). In contrast, the adiponectin/resistin ratio was highly significant (p &amp;lt; 0.001). Resistin had shown a negative correlation with HDL (r= -0.33), whereas adiponectin was inversely correlated with LDL (r= -0.33) and LDL/HDL ratio (r= -0.34). Adiponectin/resistin ratio positively correlated with HDL (r= 0.45). The multiple linear regression analysis results revealed the predictive potential of adiponectin and resistin when used in different models for CVD risks using HDL as a risk factor. However, the results revealed that only the third model, which included the adiponectin/resistin ratio, was expected to have a higher CVD risk after controlling for the other predictors in the same model. Conclusion The studied metabolic syndrome markers might have an essential role in detecting cardiovascular events. It can be concluded that resistin can be used to evaluate the CVD risks. Furthermore, we found that the adiponectin/resistin ratio is the best marker in predicting CVD events in metabolic syndrome patients compared to other markers, including adiponectin and resistin alone.

Evaluation of lipoprotein(a) and adiponectin levels in patients with metabolic syndrome for the prediction of CVD risk

Abstract Introduction/Objective Introduction: Metabolic syndrome (MetS) usually intensely forecasts cardiovascular diseases, along with elevating the risk of diabetes mellitus as well as chronic kidney disease. The International Federation for Diabetes (IDF) established in 2006 an accepted metabolic syndrome defined as a “cluster of the most dangerous heart attack and cardiovascular diseases risk factors”. Adiponectin is considered the most crucial factor which plays a serious role in glucose and lipid metabolism. Lipoprotein(a) Lp(a) was considered the single most common independent genetically inherited causal risk factor for cardiovascular diseases (CVD). bolic syndrome patients. Methods/Case Report Objectives: To investigate the correlation between Lipoprotein (a) and adiponectin in metabolic syndrome patients with CVD. Subjects and methods This research was performed at Al-Ahliyya Amman University (AAU) during the period between January 2021 and March 2021. Eighty participants were randomly selected from patients who were recruited from the internal medicine clinics. The participants aged 40 to 60 years were selected after screening for the criteria for diagnosis with MetS. Forty-two of the participants had metabolic syndrome, while the other 38 represented the control group. Adiponectin and Lipoprotein (a) were measured using by ELISA technique. Routine laboratory tests, including a lipid profile, glucose and body mass index (BMI), were measured for all participants. Results (if a Case Study enter NA) Results: Plasma lipoprotein (a), HDL, and LDL levels were significantly higher in MetS patients than in healthy controls p= 0.026, 0.04, and 0.04, respectively. In comparison, no significance was found regarding adiponectin (p = 0.07). Lipoprotein (a) had shown a negative correlation with HDL(r= -0.34), whereas adiponectin was inversely correlated with LDL (r= -0.33) and LDL/HDL ratio (r= -0.34). The multiple linear regression analysis results revealed the predictive potential of Lipoprotein (a), and adiponectin when used in different models for CVD risks using HDL as a risk factor (r = 0.381, p = 0.047). Conclusion The studied metabolic syndrome markers might be essential in detecting cardiovascular events. It can be concluded that Lipoprotein (a) and adiponectin can be used to predict the CVD risks in meta

Personal exposure of PM2.5 and metabolic syndrome markers of pregnant women in South Korea: APPO study

We examined the association between exposure to PM2.5, focused on individual exposure level, and metabolic dysfunction during pregnancy. APPO study (Air Pollution on Pregnancy Outcome) was a prospective, multicenter, observational cohort study conducted from January 2021 to March 2023. Individual PM2.5 concentrations were calculated using a time-weighted average model. Metabolic dysfunction during pregnancy was assessed based on a modified definition of metabolic syndrome and its components, accounting for pregnancy-specific criteria. Exposure to PM2.5 during pregnancy was associated with worsened metabolic parameters especially glucose metabolism. In comparison to participants exposed to the low PM2.5 group, those exposed to high PM2.5 levels exhibited increased odds of gestational diabetes mellitus (GDM) after adjusting for confounding variables in different adjusted models. Specifically, in model 1, the adjusted odds ratio (aOR) was 3.117 with a 95% confidence interval (CI) of 1.234–7.870; in model 2, the aOR was 3.855 with a 95% CI of 1.255–11.844; in model 3, the aOR was 3.404 with a 95% CI of 1.206–9.607; and in model 4, the aOR was 2.741 with a 95% CI of 0.712–10.547. Exposure to higher levels of PM2.5 during pregnancy was associated with a tendency to worsen metabolic dysfunction markers specifically in glucose homeostasis. Further research is needed to investigate the mechanisms underlying the effects of ambient PM2.5 on metabolic dysfunction during pregnancy.

LEP (G2548A-G19A) and ADIPOQ (T45G-G276T) gene polymorphisms are associated with markers for metabolic syndrome

Background and aimsThere is a link between genetics with metabolic balance and adiposity homeostasis on metabolic syndrome (MetS). Polymorphism in adipokine genes such as leptin and adiponectin may play an important role in its development. This study aimed to determine the association of the individual and general components of MetS with genetic alterations in LEP (rs7799039 and rs2167270) and ADIPOQ (rs1501299 and rs2241766) genes in the Mexican population.Methods and resultsThe polymorphisms of the LEP gene rs7799039 and rs2167270, together with rs1501299 and rs2241766 polymorphisms of the ADIPOQ gene were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) on 328 individuals (n = 131 MetS). The rs7799039 under the recessive inheritance model was found to be associated with increased risk of MetS (OR = 2.16, 95% CI = 1.06–4.37), dyslipidemia (OR = 7.97, 95% CI = 2.17–29.36), low HDL (OR = 7.01, 95% CI = 1.65–29.71) and hypertension (OR = 13.02, 95% CI = 1.76–96.44); the heterozygote demonstrate a protective effect on MetS (OR = 0.48, 95% CI = 0.28–0.88) and diabetes (OR = 0.09, 95% CI = 0.02–0.53) under the over the dominant model. Haplotype analysis showed linkage disequilibrium between the SNPs of ADIPOQ rs1501299/rs2241766, and their association as risk factors for low HDL and hypertension.ConclusionThe association of rs7799039 with the presence of MetS, suggests a risk factor for the development of dyslipidemia, as well as its heterozygous as a protective factor for DM. There is a linkage disequilibrium between the SNPs of ADIPOQ.