Relationship of High Molecular Weight Adiponectin with Female Breast Cancer (original) (raw)
Related papers
Visceral Adipose Tissue is Associated with Insulin Resistance in Hemodialyzed Patients
Medical Science Monitor, 2015
It has not been definitively established which factors affect insulin resistance (IR) and whether dialysis decreases IR. The aim of this study was to investigate factors that may have an influence on homeostasis model assessment (HOMA-IR) in hemodialyzed patients (HDpts) and to compare IR between HDpts and healthy subjects.
Visceral adiposity indicators and cardiovascular risk in hemodialytic patients
Archives of Endocrinology and Metabolism, 2021
Objective: Cardiovascular diseases represent the main cause of death in chronic kidney disease (CKD). We aimed to evaluate the prevalence and association of the hypertriglyceridemia-waist phenotype (HWP) and visceral adiposity index (VAI) with cardiometabolic risk factors (CR) in patients with CKD on hemodialysis (HD). Materials and methods: The study is based on a crosssectional design with 265 HD patients in two cities in northeastern Brazil. The VAI was calculated considering the variables body mass index (BMI), waist circumference (WC), triglycerides (TG) and high density lipoprotein cholesterol (HDL-c). HWP was defined as the concomitant elevation of WC and TG. The Poisson Regression Model with robust variance estimation was adjusted considering a hierarchical approach for explanatory variables. Prevalence ratios (PR) were also estimated. The level of significance adopted was 5%. Results: In our study HWP and VAI prevalence's were 29.82% and 58.49%, respectively. In the final model, there was an association between VAI and female gender (PR = 1.46; p < 0.0001) and high body fat (% BF) (PR = 1.33; p < 0.0019). HWP was associated with females (PR = 1.80; p = 0.002), alcohol consumption (PR = 1.58; p = 0.033), obesity (PR = 1.89; p = 0.0001), high %BF (PR = 1.76; p = 0.012) and reduced HDL-c (PR = 1.48; p = 0.035). Conclusion: The HWP stood out as the association with more CR factors, representing a promising method for tracking cardiometabolic risk in HD patients, mainly female.
Adiponectin and visceral fat associate with cardiovascular risk factors
Obesity, 2013
Objective: To examine the combined effect of CT-measured visceral fat area (VFA) and adiponectin level against the clustering of metabolic risk factors. Design and Methods: The subjects were 6,996 Japanese. The subjects were divided according to the combinations of VFA and adiponectin level quartiles and the odds ratio for multiple risk factors of metabolic syndrome were calculated (adjusted for age and lifestyle factors using logistic regression analyses). Group with the lowest VFA and the highest adiponectin level was used as a reference. The correlation between adiponectin level and each metabolic risk factor was evaluated. Results: The strongest correlation was observed between adiponectin level and high-density lipoprotein cholesterol levels (r ¼ 0.369 and 0.439 for men and women). Both VFA and adiponectin level were independently associated with the clustering of metabolic risk factors (interaction P ¼ 0.58 and 0.11 for men and women). The odds ratio for the clustering of metabolic risk factors in the group with the highest VFA and the lowest adiponectin level, compared with the group with the lowest VFA and the highest adiponectin level, was 12.7 (9.7-16.6) for men and 13.5 (6.0-30.2) for women. Conclusion: The ability to detect metabolic syndrome could be improved by examining adiponectin level in conjunction with VFA.
International Journal of Cardiology, 2013
Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors on the basis of obesity and insulin resistance. Although the pathophysiology and optimal diagnostic criteria remain controversial, there are evidences that MetS is associated with the prevalence, mortality, and development of cardiovascular disease and type 2 diabetes mellitus . Subjects who already have two MetS risk factors at the time of screening test are considered to be likely to develop MetS. Some specific biomarkers may be helpful for selecting subjects at higher risk for the development of MetS from these 'potential MetS patients', and provide clues to prevent development of MetS.
Revista Medico-Chirurgicala
In order to establish more e fficient ways to prevent metabolic syndrome (MetS) in clinical settings, we need to thoroughly understand the physiopathology behind this cluster of risk factors for cardiometabolic di seases. The main point of focus concerning MetS still embraces the metabolic and secretory products of the abdominal adipose tissue. Our study aims to clearly define an adipokine profile for patients with MetS and assess possible correlations between obesity parameters, bi ochemical markers and adipokines. Material and methods: This is a cross-sectional study, elaborated over a period of two years, which involved 104 patients divided into 2 groups: with MetS and without MetS. Patients were considered as having MetS if they presented WC > 88 cm (women) / 104 cm (men) and more than one criterion of the following: glucose ≥ 100 mg/dL, HDL < 40 mg/dL (men) / < 50 mg/dL (women), TG ≥ 150 mg/dL, SBP/DBP ≥ 130/85 mmHg. Dual-Energy X-ray Absorptiometry (DEXA) was performed to assess adipose tissue distribution. All patients underwent clinical and paraclinical evaluation, including the measurements of insulin, adiponectin and leptin. Results: Leptin levels present a strong and positive correlation with almost all obesity parameters evaluated, with or without MetS. The strongest correlation is observed for trunk fat percentage (without MetS: r=0.648, p<0.001; with MetS: r=0. 723, p<0.001). In the group of patients without MetS adiponectin level is not associated with fat percentages, whereas in the group of patients with MetS ad iponectin reports a weak and positive correlation between total fat, arms fat and legs fat pe rcentages. Adiponectin is negatively correlated with HOMA-IR and insulin in both groups, suggesting that insulin resistance is linked to the change in adiponectin levels. Pati ents that present MetS also report an association between HDL and adiponectin (r=0.280, p=0.02). Conclusions: Patients with MetS that did not follow prior treatment for any chronic disease and are characterized by similar adipose tissue percentage and dist ribution, report the following: lower adiponectin levels than patients without MetS, but still a positive association with HDL; no modification in leptin levels compared to patients without MetS; negative co rrelation between adiponectin and insulin resistance; strong association between leptin and adipose tissue mass.
Relationship Between Adiposity and Cardiovascular Risk Factors in Prevalent Hemodialysis Patients
Journal of Renal Nutrition, 2009
Increased Body Mass Index (BMI) is associated with reduced all cause and cardiovascular (CV) mortality in hemodialysis patients (HD), while CV risk increases with BMI in the general population. In the general population obesity is associated with inflammation, decreased HDL, increased LDL and triglycerides (TGs), all risk factors for CV disease. LDL does not predict CV risk in HD, whereas increased C-reactive protein (CRP), interleukin-6 (IL-6), low HDL or apo AI and increased fasting triglycerides (TG) do predict risk. Renal failure is associated with dyslipidemia and inflammation in normal weight patients. We hypothesized that effects of obesity may be obscured by virtue of renal failure in HD. We explored the relationship between adipose tissue pools and distribution, i.e., subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) (measured by MRI) and measures of inflammation (CRP, IL-6, ceruloplasmin and α 1 acid glycoprotein) HDL and LDL cholesterol, total TGs, apo A I, apo B, apo C II (an activator of lipoprotein lipase (LPL)) and CIII (an inhibitor of LPL) and the adipokines, leptin and adiponectin in 48 patients with prevalent HD. Total TG concentrations were positively correlated with VAT controlled for age, sex and weight. Both apo C II and apo C III correlated only with VAT. Adiponectin was inversely correlated with VAT and leptin was positively associated with SAT. CRP and α 1 acid glycoprotein were weakly associated with SAT while ceruloplasmin was strongly associated with VAT by multiple regression analysis. In contrast, apo B, LDL, apo A I and HDL, and IL-6 were not correlated with any measure of body composition potentially mitigating the effects of obesity in HD
Atherosclerosis, 2009
Objective: The principal aim of this study was to determine whether the amount of visceral adipose tissue (VAT) is more related than subcutaneous adipose tissue (SAT) to atherosclerosis assessed by whole-body MRA (WBMRA). A further objective was to investigate whether traditional risk factors, inflammation, or adipokines could explain the hypothesized relationship between VAT and atherosclerosis. Methods: Men and women aged 70 were recruited from the general population into the Prospective Investigation of The Vasculature in Uppsala Seniors (PIVUS) and 306 of them underwent WBMRA in a clinical 1.5-T scanner. The arterial tree was assessed for degree of stenosis or occlusion and a total atherosclerotic score (TAS) was established. Information on risk factors and BMI and on SAT and VAT, segmented on an axial MR scan was collected. Adiponectin, leptin, and high sensitive Creactive protein (hsCRP) were measured in serum. HOMA index was used as a marker of insulin resistance. Results: VAT was related to TAS independently of gender, total obesity (BMI), amount of SAT, hsCRP and also to the traditional risk factors included in the Framingham risk score (FRS) in an elderly population. Adiponectin or the HOMA insulin resistance, but not leptin or VAT, together with FRS was significantly related to TAS in a multiple censored regression model. Conclusion: Adiponectin attenuated the relationship between VAT and TAS, suggesting that adiponectin and insulin resistance is an important link between visceral adiposity and atherosclerosis.
Relationship of Plasma Adiponectin and Waist-hip Ratio with Coronary Artery Disease
Medical Archives, 2016
Background: This study aimed to investigate correlation between adiponectin and waisthip-ratio with severity of coronary artery disease (CAD). There is uncertainty about the association between circulating concentrations of adiponectin and CAD. Methods: We enrolled eighty-two consecutive patients undergoing non-urgent coronary angiography for CAD survey. According to the angiography results, the patients were divided into two groups in 1:1 ratio patients admitted with a diagnosis of CAD and non-CAD. We conducted hospital based research, involving study group with documented angiographically CAD, and control group without evidence of CAD. Angiograms were also quantified for the extent and severity of CAD by the Gensini scoring system. We measured baseline adiponectin levels in stored serum samples of all patients, anthropometric and biochemical risk factors were assessed in both groups. Results: The presence of CAD was associated with current smoking, male gender, waist-hip ratio (WHR) and left ventricular ejection fraction (LVEF). Baseline adiponectin concentrations correlated significantly in terms of the lipid parameters, positively with HDL cholesterol concentrations (r=0.327, P=0.028, P<0.05) and serum triglyceride concentrations were correlated negatively (r=-0.513, P<0.001). No significant difference between median adiponectin levels at baseline was observed between cases and controls. Conclusion: There is a significant positive correlation between waist-hip ratio and presence and severity of coronary artery disease. In conclusion, there is a significant positive correlation between adiponectin and Gensini score among Kosovar patients.
2012
Adipose tissue as an endocrine organ secretes adiponectin that is a cardiovascular atherosclerosismodulating factor. However, some studies showed that adiponectin reduces obesity. In the present study, adiponectin association with body mass index (BMI), waist circumference (WC), visceral adipose tissue (VAT) and subcutaneous visceral tissue (SAT) as different measurements of obesity were evaluated in patients with coronary heart disease (CHD). METHODS: Sixtyeight patients with CHD were chosen using simple random sampling. Body weight, height, WC and blood pressure were measured. Fasting blood samples were taken to assess fasting blood sugar, total cholesterol, triglyceride, low and high-density lipoproteins cholesterol. Patients underwent an abdominal computerized scan (CTS) to detect VAT and SAT. Linear regression test used to assess the relation of different measurements of the obesity with adiponectin adjusting for age, sex, hypertension, dyslipidemia, and diabetes mellitus. RESULTS: The mean age of the study population was 50.5 ± 7.0. Females were 67.6% of study population. Multivariate analyses showed the inverse association of waist-to-height ratio (WHtR) (β = -0.25, p = 0.03), WC (β = -0.24, p = 0.24) and visceral fat (β = -0.32, p = 0.01) with adiponectin. CONCLUSIONS: WC and WHtR are simple proxy measures of obesity that better showed adverse metabolic effect of visceral fat in patients with CHD.
Adipose tissue in renal disease: clinical significance and prognostic implications
Nephrology Dialysis Transplantation, 2010
Obesity is not only associated with the development of diabetes and hypertension, but is also a known risk factor for chronic kidney disease (CKD) and is a risk factor for progressive renal function loss. Abdominal obesity is especially related to incident CKD and mortality. The decline in fat mass over time has also been related to mortality in this population. In patients on peritoneal dialysis, intra-abdominal fat accumulation has been related to cardiovascular morbidity and mortality. The body mass index is a simple method to estimate fat mass in dialysis patients. Maximum abdominal circumference, triceps and subscapular skinfolds, and arm circumference have been proposed as alternative methods in assessing subcutaneous adipose tissue to overcome the altered hydration status associated with dialysis. Waist-to-hip ratio, waist-to-height ratio and the conicity index are used to estimate abdominal fat deposits. Dual-energy X-ray absorptiometry, bioelectrical impedance analysis, computed tomography and magnetic resonance imaging are more precise and reliable methods to estimate body composition in dialysis patients. Adipose tissue is the source of a novel group of hormonally active substances known as adipokines. Patients with CKD exhibit an increase in serum concentration of most of these substances. Besides, the kidney plays an important role in the regulation of adipokines, and altered renal handling of these substances might contribute to an increase in the uraemia-associated increased risk of cardiovascular disease and mortality. In particular, pro-inflammatory adipokines, such as leptin, tumour necrosis factor-alpha and inteleukin-6, have been associated with an increased risk of mortality, whereas the link between adiponectin, an antiatherogenic adipokine, and survival is controversial in patients with CKD.