Objective: Cardiovascular events are the most common cause of mortality in Cushing syndrome (CS). This study aimed to evaluate the impact of novel factors on atherosclerosis in endogenous CS.
Methods: A total of 22 female patients with CS and 33 normal female controls underwent evaluation of fibrinogen, high-sensitivity C-reactive protein (hsCRP), inflammatory cytokines (interleukin [IL]-6, IL-1β, soluble tumor necrosis factor receptor [sTNFR]-1, and sTNFR2), glutathione peroxidase (GPx; measure of oxidative stress), carotid intima media thickness (CIMT; a measure of atherosclerosis), and percent change in flow-mediated vasodilation (%FMV) of the brachial artery, a measure of endothelial dysfunction. Stepwise multiple linear regressions were done after adjusting for variables in models 1 through 3 to evaluate their role in predicting CIMT and %FMV. Model 1 consisted of age and body mass index (BMI). Model 2 consisted of model 1 plus blood pressure (BP), fasting blood glucose (FBG), and 2-hour postglucose blood glucose (2hPGBG). Model 3 consisted of model 2 plus triglycerides and low- and high-density lipoprotein.
Results: Females with CS had significantly higher BMI, BP, FBG, 2hPGBG, total cholesterol, triglycerides, fibrinogen, IL-6, IL-1β, sTNFR1, and GPx. CIMT and %FMV were significantly higher and lower, respectively, in CS patients. Regression analyses revealed sTNFR1 to be a consistent predictor of CIMT after adjusting for model 1 (β = 0.656; P = .004), model 2 (β = 0.571; P = .047), and model 3 (β = 0.683; P =.026). GPx was a predictor of CIMT after adjusting for model 1 (β = 0.565; P = .033) and model 3 (β = 0.756; P= .038).
Conclusion: This study highlights increased CIMT and endothelial dysfunction in CS, associated with an altered inflammatory milieu. sTNFR1 and GPx may predict CIMT in females with CS.
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http://dx.doi.org/10.4158/EP14399.OR | DOI Listing |
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The recently discovered metagenomic urethanases UMG-SP1, UMG-SP2, and UMG-SP3 have emerged as promising tools to establish a bio-based recycling approach for polyurethane (PU) waste. These enzymes are capable of hydrolyzing urethane bonds in low molecular weight dicarbamates as well as in thermoplastic PU and the amide bond in polyamide employing a Ser-Ser -Lys triad for catalysis, similar to members of the amidase signature protein superfamily. Understanding the catalytic mechanism of these urethanases is crucial for enhancing their enzymatic activity and improving PU bio-recycling processes.
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