116 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

    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

    Hair glucocorticoids as biomarker for endogenous Cushing's syndrome: validation in two independent cohorts

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    Background/Aims: The current diagnostic workup of Cushing’s syndrome (CS) requires various tests which only capture short-term cortisol exposure, whereas patients with endogenous CS generally have elevated long-term cortisol levels. Scalp hair assessment has emerged as a convenient test in capturing glucocorticoid concentrations over long periods of time. The aim of this multicenter, multinational, prospective, case-control study was to evaluate the diagnostic efficacy of scalp hair glucocorticoids in screening of endogenous CS. Methods: We assessed the diagnostic performances of hair cortisol (HairF), hair cortisone (HairE), and sum of both (sumHairF+E), as measured by state-of-the-art LC-MS/MS technique, in untreated patients with confirmed endogenous CS (n=89), and community controls (n=295) from the population-based Lifelines cohort study. Results: Both glucocorticoids were significantly elevated in CS patients when compared to controls. High diagnostic efficacy was found for HairF (area under the curve (AUC), 0.87 [95% CI, 0.83 to 0.92]), HairE (0.93 [0.89 to 0.96]) and sumHairF+E (0.92 [0.88 to 0.96]; all P<.001). Participants were accurately classified at optimal cut-off threshold in 86% of cases (81% sensitivity, 88% specificity, 94% negative predictive value (NPV)) for HairF, in 90% of cases (87% sensitivity, 90% specificity, 96% NPV) for HairE, and 87% of cases (86% sensitivity, 88% specificity, 95% NPV) for the sum. HairE was shown to be most accurate in differentiating CS patients from controls. Conclusion: Scalp hair glucocorticoids, especially hair cortisone, can be seen as a promising biomarker in screening of CS. Its convenience in collection and workup additionally makes this feasible for first-line screenin

    Large-scale transdisciplinary collaboration for adaptation research: Challenges and insights

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    An increasing number of research programs seek to support adaptation to climate change through the engagement of large-scale transdisciplinary networks that span countries and continents. While transdisciplinary research processes have been a topic of reflection, practice, and refinement for some time, these trends now mean that the global change research community needs to reflect and learn how to pursue collaborative research on a large scale. This paper shares insights from a seven-year climate change adaptation research program that supports collaboration between more than 450 researchers and practitioners across four consortia and 17 countries. The experience confirms the importance of attention to careful design for transdisciplinary collaboration, but also highlights that this alone is not enough. The success of well-designed transdisciplinary research processes is also strongly influenced by relational and systemic features of collaborative relationships. Relational features include interpersonal trust, mutual respect, and leadership styles, while systemic features include legal partnership agreements, power asymmetries between partners, and institutional values and cultures. In the new arena of large-scale collaborative science efforts, enablers of transdisciplinary collaboration include dedicated project coordinators, leaders at multiple levels, and the availability of small amounts of flexible funds to enable nimble responses to opportunities and unexpected collaborations

    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

    Long-term glucocorticoid exposure and incident cardiovascular diseases - the Lifelines cohort

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    CONTEXT: Long-term glucocorticoid levels in scalp hair (HairGCs), including cortisol and the inactive form cortisone, represent the cumulative systemic exposure to glucocorticoids over months. HairGCs have repeatedly shown associations with cardiometabolic and immune parameters, but longitudinal data are lacking.DESIGN: We investigated 6341 hair samples of participants from the Lifelines cohort study for cortisol and cortisone levels, and associated these to incident cardiovascular diseases (CVD) during 5-7 years of follow-up. We computed the odds ratio (OR) of HairGC levels for incident CVD via logistic regression, adjusting for classical cardiovascular risk factors, and performed a sensitivity analysis in subcohorts of participants &lt;60 years and &gt;= 60 years. Also, we associated HairGC levels to immune parameters (total leukocytes and subtypes).RESULTS: Hair cortisone levels (available in n = 4701) were independently associated with incident CVD (p &lt; 0.001), particularly in younger individuals (multivariate-adjusted OR 4.21, 95% confidence interval (CI) 1.91-9.07 per point increase in 10-log cortisone concentration (pg/mg), p &lt; 0.001). All immune parameters except eosinophils were associated with hair cortisone (all multivariate-adjusted p &lt; 0.05).CONCLUSIONS: In this large, prospective cohort study, we found that long-term cortisone levels, measured in scalp hair, represent a relevant and significant predictor for future cardiovascular diseases in younger individuals. These results highlight glucocorticoid action as possible treatment target for CVD prevention, where hair glucocorticoid measurements could help identify individuals that may benefit from such treatments.</p

    Supernova / Acceleration Probe: A Satellite Experiment to Study the Nature of the Dark Energy

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    The Supernova / Acceleration Probe (SNAP) is a proposed space-based experiment designed to study the dark energy and alternative explanations of the acceleration of the Universe's expansion by performing a series of complementary systematics-controlled measurements. We describe a self-consistent reference mission design for building a Type Ia supernova Hubble diagram and for performing a wide-area weak gravitational lensing study. A 2-m wide-field telescope feeds a focal plane consisting of a 0.7 square-degree imager tiled with equal areas of optical CCDs and near infrared sensors, and a high-efficiency low-resolution integral field spectrograph. The SNAP mission will obtain high-signal-to-noise calibrated light-curves and spectra for several thousand supernovae at redshifts between z=0.1 and 1.7. A wide-field survey covering one thousand square degrees resolves ~100 galaxies per square arcminute. If we assume we live in a cosmological-constant-dominated Universe, the matter density, dark energy density, and flatness of space can all be measured with SNAP supernova and weak-lensing measurements to a systematics-limited accuracy of 1%. For a flat universe, the density-to-pressure ratio of dark energy can be similarly measured to 5% for the present value w0 and ~0.1 for the time variation w'. The large survey area, depth, spatial resolution, time-sampling, and nine-band optical to NIR photometry will support additional independent and/or complementary dark-energy measurement approaches as well as a broad range of auxiliary science programs. (Abridged)Comment: 40 pages, 18 figures, submitted to PASP, http://snap.lbl.go

    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
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