22 research outputs found

    Glucocorticoids and Obesity

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    Glucocorticoids are a class of hormones which affect virtually every aspect of physiology, including metabolism, behavior and immunity. The most important glucocorticoid in humans is cortisol. In this thesis, the associations between the exposure to glucocorticoid hormones, obesity and obesity-related problems were studied. We investigated three aspects of glucocorticoids: the glucocorticoids produced endogenously, glucocorticoid-containing medications, and the genetics of sensitivity to glucocorticoids at the cellular level

    Structural phase transitions in multipole traps

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    A small number of laser-cooled ions trapped in a linear radiofrequency multipole trap forms a hollow tube structure. We have studied, by means of molecular dynamics simulations, the structural transition from a double ring to a single ring of ions. We show that the single-ring configuration has the advantage to inhibit the thermal transfer from the rf-excited radial components of the motion to the axial component, allowing to reach the Doppler limit temperature along the direction of the trap axis. Once cooled in this particular configuration, the ions experience an angular dependency of the confinement if the local adiabaticity parameter exceeds the empirical limit. Bunching of the ion structures can then be observed and an analytic expression is proposed to take into account for this behaviour

    Systemic and Local Corticosteroid Use Is Associated with Reduced Executive Cognition, and Mood and Anxiety Disorders

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    Background: Use of local corticosteroids, especially the inhaled types, has increasingly been associated with systemic uptake and consequent adverse effects. In this study, we assessed the associations between the use of different corticosteroid types with cognitive and neuropsychiatric adverse effects related to high glucocorticoid exposure. Methods: In 83,592 adults (mean age 44 years, 59% women) of the general population (Lifelines Cohort Study), we analyzed the relationship between corticosteroid use with executive cognitive functioning (Ruff Figural Fluency Test), and presence of mood and anxiety disorders (Mini-International Neuropsychiatric Interview survey). We performed additional exploration for effects of physical quality of life (QoL; RAND-36), and inflammation (high-sensitive C-reactive protein [CRP]). Results: Cognitive scores were lower among corticosteroid users, in particular of systemic and inhaled types, when compared to nonusers. Users of inhaled types showed lower cognitive scores irrespective of physical QoL, psychiatric disorders, and high-sensitive CRP. Overall corticosteroid use was also associated with higher likelihood for mood and anxiety disorders. Users of inhaled corticosteroids were more likely to have mood disorders (OR 1.40 [95% CI 1.19-1.65], p < 0.001) and anxiety disorders (OR 1.19 [95% CI 1.06-1.33], p = 0.002). These findings were independent of physical QoL. A higher likelihood for mood disorders was also found for systemic users whereas nasal and dermal corticosteroid users were more likely to have anxiety disorders. Conclusions: Commonly used local corticosteroids, in particular inhaled types, and systemic corticosteroids are associated with reduced executive cognitive functioning and a higher likelihood of mood and anxiety disorders in the general adult population

    Systematic evaluation of corticosteroid use in obese and non-obese individuals: A multi-cohort study

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    Background: Although the use of corticosteroids has been linked to high incidence of weight gain, no data are available concerning the differences in corticosteroid use between a diverse obese population and non-obese individuals. The main purpose of this study was to systematically explore t

    Effect of diet-induced weight loss on lipoprotein(a) levels in obese individuals with and without type 2 diabetes

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    _Aims/hypothesis:_ Elevated levels of lipoprotein(a) [Lp(a)] are an independent risk factor for cardiovascular disease (CVD), particularly in individuals with type 2 diabetes. Although weight loss improves conventional risk factors for CVD in type 2 diabetes, the effects on Lp(a) are unknown and may influence the long-term outcome of CVD after diet-induced weight loss. The aim of this clinical study was to determine the effect of diet-induced weight loss on Lp(a) levels in obese individuals with type 2 diabetes. _Methods:_ Plasma Lp(a) levels were determined by immunoturbidimetry in plasma obtained before and after 3–4 months of an energy-restricted diet in four independent study cohorts. The primary cohort consisted of 131 predominantly obese patients with type 2 diabetes (cohort 1), all participants of the Preven

    Scalp hair cortisol and testosterone levels in patients with sarcoidosis

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    Background Patients with sarcoidosis often experience fatigue and psychological distress, but little is known about the etiology of these conditions. While serum and saliva steroid hormones are used to monitor acute steroid levels, scalp hair analysis is a relatively new method enabling measurement of long-term steroid levels, including hair cortisol reflecting chronic stress. We investigated whether scalp hair cortisol and testosterone levels differ between sarcoidosis patients both with and without fatigue and general population controls. Additionally, we studied if these hormones could serve as objective biomarkers for psychological distress in patients with sarcoidosis. Methods We measured hair steroid levels using liquid chromatography-tandem mass spectrometry in glucocorticoid naĂŻve sarcoidosis patients. Patients completed the Perceived Stress Scale, Fatigue Assessment Scale, Hospital Anxiety and Depression Scale and Short For

    Extensive Phenotyping for Potential Weight-Inducing Factors in an Outpatient Population with Obesity

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    Background: Obesity has been associated with miscellaneous weight-inducing determinants. A comprehensive assessment of known obesity-related factors other than diet and physical activity within one cohort is currently lacking. Objectives: To assess the prevalence of potential contributors to obesity and self-reported triggers for marked weight gain in an adult population with obesity and between obesity classes. Methods: In this observational cohort study, we assessed 408 persons with obesity (aged 41.3 ± 14.2 years, BMI 40.5 ± 6.2) visiting our obesity clinic. They were evaluated for use of weight-inducing drugs, hormonal abnormalities, menarcheal age, (high) birth weight, sleep deprivation, and obstructive sleep apnea syndrome (OSAS). We additionally assessed self-reported triggers for marked weight gain and performed genetic testing in patients suspected of genetic obesity. Results: Nearly half of the patients were using a potentially weight-inducing drug, which was also the most reported trigger for marked weight gain. For the assessed hormonal conditions, a relatively high prevalence was found for hypothyroidism (14.1%), polycystic ovary syndrome (12.0%), and male hypogonadism (41.7%). A relatively low average menarcheal age (12.6 ± 1.8 years) was reported, whereas there was a high prevalence of a high birth weight (19.5%). Sleep deprivation and OSAS were reported in, respectively, 14.5 and 13.7% of the examined patients. Obesity class appeared to have no influence on the majority of the assessed factors. Of the genetically analyzed patients, a definitive genetic diagnosis was made in 3 patients (1.9%). Conclusions: A thorough evaluation of patients with obesity yields a relatively high prevalence of various potentially weight-inducing factors. Diagnostic screening of patients with obesi

    Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry

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    Background: Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients\u2019 clinical phenotypes and analyse the differential clinical course. Methods: We performed a hierarchical cluster analysis based on Ward\u2019s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results: A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients\u2019 prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P &lt;.001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27\u20133.62; HR 3.42, 95%CI 2.72\u20134.31; HR 2.79, 95%CI 2.32\u20133.35), and Cluster 1 (HR 1.88, 95%CI 1.48\u20132.38; HR 2.50, 95%CI 1.98\u20133.15; HR 2.09, 95%CI 1.74\u20132.51) reported a higher risk for the three outcomes respectively. Conclusions: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes

    Scintillation light in SBND: simulation, reconstruction, and expected performance of the photon detection system

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    SBND is the near detector of the Short-Baseline Neutrino program at Fermilab. Its location near to the Booster Neutrino Beam source and relatively large mass will allow the study of neutrino interactions on argon with unprecedented statistics. This paper describes the expected performance of the SBND photon detection system, using a simulated sample of beam neutrinos and cosmogenic particles. Its design is a dual readout concept combining a system of 120 photomultiplier tubes, used for triggering, with a system of 192 X-ARAPUCA devices, located behind the anode wire planes. Furthermore, covering the cathode plane with highly-reflective panels coated with a wavelength-shifting compound recovers part of the light emitted towards the cathode, where no optical detectors exist. We show how this new design provides a high light yield and a more uniform detection efficiency, an excellent timing resolution and an independent 3D-position reconstruction using only the scintillation light. Finally, the whole reconstruction chain is applied to recover the temporal structure of the beam spill, which is resolved with a resolution on the order of nanoseconds
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