Search

Introduction: Lipopolysaccharide-binding protein (LBP) is closely associated with many metabolic disorders. However, no study has been done to explore the relationship between LBP and polycystic ovary syndrome (PCOS). The objective of this study was to investigate whether the serum LBP level is elevated and associated with insulin resistance (IR) in PCOS. Participants and Design: In this cross-sectional study, 117 PCOS patients and 121 age-matched controls were recruited. Hyperinsulinemic-euglycemic clamp was performed with an expression of M value for insulin sensitivity. Fasting serum samples were collected to detect LBP, lipids, insulin, sex hormones and high sensitive C reactive protein (hs-CRP). Pearson’s correlation and multiple linear regression was used to analyze the associations between M value and LBP level. Settings: The study was performed in a clinical research center. Results: Compared with controls, PCOS subjects had a significantly higher LBP concentration (33.03±14.59 vs. 24.35±10.31 μg/ml, p<0.001), and lower M value (8.21±3.06 vs. 12.31±1.72 mg/min/kg, p<0.001). Both in lean and overweight/obese individuals, serum LBP level was higher in PCOS subjects than that in controls. M value was negatively correlated with body mass index (BMI), fasting serum insulin, triglycerides, low-density lipoprotein cholesterol (LDL-c), free testosterone, high sensitive C reactive protein (hs-CRP) and LBP, whereas positively correlated with high-density lipoprotein cholesterol (HDL-c) and sex hormone binding globulin (SHBG). Serum LBP level was associated with M value after adjusting for BMI, fasting serum insulin, SHBG, as well as hs-CRP. Conclusion: Serum LBP level significantly is elevated in PCOS, and is independently associated with IR in PCOS. [ABSTRACT FROM AUTHOR]

Background/Aims: Serum cortisol level is elevated in patients with essential hypertension. We aimed at investigating the association of serum cortisol levels with parameters of renal function in essential hypertension. Methods: One hundred and seventy-eight patients with essential hypertension participated in the study. Fasting serum samples were collected at 8:00 am. Renal function was measured as estimated glomerular filtration rate (eGFR) calculated by the Chronic Kidney Disease Epidemiology Collaboration creatinine- cystatin C equation (eGFRcr-cys). Correlation analysis and stepwise regression analysis were used to detect the relationship between cortisol and eGFRcr-cys. The distributions of serum cortisol were split by the tertiles and subjects were stratified into those with low, median and high levels accordingly. Results: Serum cortisol levels were significantly higher in subjects whose eGFRcr-cys<90 ml/ min/1.73 m² than subjects whose eGFRcr-cys>90 ml/min/1.73 m² (394.0±93.4 vs. 343.2±98.4 nmol/L, P=0.001). Age, systolic blood pressure, and serum total cholesterol, uric acid, cortisol levels were significantly associated with eGFRcr-cys, serum levels of creatinine and cystatin C. After adjusting for clinical factors, serum cortisol level had a statistically significant negative association with the eGFRcr-cys (α=-0.19, P=0.027), and positive associations with cystatin C (α=0.31, P=0.001) and creatinine (α=0.14, P=0.044). With the increment of cortisol tertile, the eGFRcr-cys significantly decreased (93.18±14.36 vs. 84.61±14.67 vs. 81.29±12.36 ml/min/1.73 m2 for low, median and high tertile, respecively, P=0.001). Conclusion: Serum cortisol level was negatively correlated with eGFRcr-cys in subjects with essential hypertension. Further studies are needed to investigate whether cortisol plays a role in hypertensive nephropathy development. [ABSTRACT FROM AUTHOR]

The article discusses the study on the major subtypes of obesity such as the general and the abdominal obesity which are known to be associated with chronic diabetes complications, like cardiovascular diseases and diabetic retinopathy. Topics discussed include the diabetic kidney disease (DKD), type 2 diabetes (T2D) patients assess through DXA, and the parameters of general obesity such as body mass index (BMI), total body fat percentage(TBF), and fat mass index (FMI).