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      Morning plasma cortisol as a cardiovascular risk factor: findings from prospective cohort and Mendelian randomization studies

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          Abstract

          Objective

          The identification of new causal risk factors has the potential to improve cardiovascular disease (CVD) risk prediction and the development of new treatments to reduce CVD deaths. In the general population, we sought to determine whether cortisol is a causal risk factor for CVD and coronary heart disease (CHD).

          Design and methods

          Three approaches were adopted to investigate the association between cortisol and CVD/CHD. First, we used multivariable regression in two prospective nested case-control studies (total 798 participants, 313 incident CVD/CHD with complete data). Second, a random-effects meta-analysis of these data and previously published prospective associations was performed (total 6680 controls, 696 incident CVD/CHD). Finally, one- and two-sample Mendelian randomization analyses were performed (122,737 CHD cases, 547,261 controls for two-sample analyses).

          Results

          In the two prospective nested case–control studies, logistic regression adjusting for sex, age, BMI, smoking and time of sampling, demonstrated a positive association between morning plasma cortisol and incident CVD (OR: 1.28 per 1 SD higher cortisol, 95% CI: 1.06–1.54). In the meta-analysis of prospective studies, the equivalent result was OR: 1.18, 95% CI: 1.06–1.31. Results from the two-sample Mendelian randomization were consistent with these positive associations: OR: 1.06, 95% CI: 0.98–1.15.

          Conclusions

          All three approaches demonstrated a positive association between morning plasma cortisol and incident CVD. Together, these findings suggest that elevated morning cortisol is a causal risk factor for CVD. The current data suggest strategies targeted at lowering cortisol action should be evaluated for their effects on CVD.

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          Most cited references25

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          Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

          Finding individual-level data for adequately-powered Mendelian randomization analyses may be problematic. As publicly-available summarized data on genetic associations with disease outcomes from large consortia are becoming more abundant, use of published data is an attractive analysis strategy for obtaining precise estimates of the causal effects of risk factors on outcomes. We detail the necessary steps for conducting Mendelian randomization investigations using published data, and present novel statistical methods for combining data on the associations of multiple (correlated or uncorrelated) genetic variants with the risk factor and outcome into a single causal effect estimate. A two-sample analysis strategy may be employed, in which evidence on the gene-risk factor and gene-outcome associations are taken from different data sources. These approaches allow the efficient identification of risk factors that are suitable targets for clinical intervention from published data, although the ability to assess the assumptions necessary for causal inference is diminished. Methods and guidance are illustrated using the example of the causal effect of serum calcium levels on fasting glucose concentrations. The estimated causal effect of a 1 standard deviation (0.13 mmol/L) increase in calcium levels on fasting glucose (mM) using a single lead variant from the CASR gene region is 0.044 (95 % credible interval −0.002, 0.100). In contrast, using our method to account for the correlation between variants, the corresponding estimate using 17 genetic variants is 0.022 (95 % credible interval 0.009, 0.035), a more clearly positive causal effect. Electronic supplementary material The online version of this article (doi:10.1007/s10654-015-0011-z) contains supplementary material, which is available to authorized users.
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            Taking glucocorticoids by prescription is associated with subsequent cardiovascular disease.

            Glucocorticoids have adverse systemic effects, including obesity, hypertension, and hyperglycemia, that may predispose to cardiovascular disease. The effect of glucocorticoid use on cardiovascular disease has not been quantified. To test the hypothesis that users of exogenous glucocorticoids have an increased risk for cardiovascular disease. A cohort study using a record linkage database. Tayside, Scotland, United Kingdom. 68,781 glucocorticoid users and 82,202 nonusers without previous hospitalization for cardiovascular disease who were studied between 1993 and 1996. The average daily dose of glucocorticoid exposure during follow-up was categorized as low (inhaled, nasal, and topical only), medium (oral, rectal, or parenteral or =7.5 mg of prednisolone equivalent). Poisson regression model, sensitivity analysis, and propensity score methods were used to investigate the association between glucocorticoid exposure and cardiovascular outcome. 4383 cardiovascular events occurred in 257,487 person-years of follow-up for a rate of 17.0 (95% CI, 16.5 to 17.5) per 1000 person-years in the comparator group, and 5068 events occurred in 212,287 person-years for a rate of 23.9 (CI, 23.2 to 24.5) per 1000 person-years in the group exposed to glucocorticoids (22.1, 27.2, and 76.5 in low, medium, and high groups, respectively). The absolute risk difference was 6.9 (CI, 6.0 to 7.7) per 1000 person-years (5.1, 10.1, and 59.4, respectively). After adjustment for known covariates, the relative risk for a cardiovascular event in patients receiving high-dose glucocorticoids was 2.56 (CI, 2.18 to 2.99). Because the data were observational, residual confounding cannot be excluded. Treatment with high-dose glucocorticoids seemed to be associated with increased risk for cardiovascular disease.
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              Glucocorticoids and cardiovascular disease.

              Chronic excessive activation of glucocorticoid receptors induces obesity, insulin resistance, glucose intolerance, dyslipidaemia and hypertension. Subtle abnormalities of the hypothalamic-pituitary-adrenal axis and/or of tissue sensitivity to glucocorticoids are also associated with these cardiovascular risk factors in patients with the metabolic syndrome. Furthermore, glucocorticoids have direct effects on the heart and blood vessels, mediated by both glucocorticoid and mineralocorticoid receptors and modified by local metabolism of glucocorticoids by the 11beta-hydroxysteroid dehydrogenase enzymes. These effects influence vascular function, atherogenesis and vascular remodelling following intra-vascular injury or ischaemia. This article reviews the systemic and cardiovascular effects of glucocorticoids, and the evidence that glucocorticoids not only promote the incidence and progression of atherogenesis but also modify the recovery from occlusive vascular events and intravascular injury. The conclusion is that manipulation of glucocorticoid action within metabolic and cardiovascular tissues may provide novel therapeutic avenues to combat cardiovascular disease.

                Author and article information

                Journal
                Eur J Endocrinol
                Eur. J. Endocrinol
                EJE
                European Journal of Endocrinology
                Bioscientifica Ltd (Bristol )
                0804-4643
                1479-683X
                October 2019
                18 July 2019
                : 181
                : 4
                : 429-438
                Affiliations
                [1 ]BHF Centre for Cardiovascular Science , Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
                [2 ]MRC Integrative Epidemiology Unit at the University of Bristol , Bristol, UK
                [3 ]Population Health Sciences , Bristol Medical School, University of Bristol, Bristol, UK
                [4 ]Department of Public Health and Clinical Medicine , Umeå University, Umeå, Sweden
                [5 ]Department of Psychology , Dresden University of Technology, Dresden, Germany
                [6 ]Edinburgh Clinical Research Facility , University of Edinburgh, Edinburgh, UK
                [7 ]Department of Public Health and Clinical Medicine , Sunderby Research Unit, Umeå University, Umeå, Sweden
                [8 ]Department of Epidemiology & Population Health , London School of Hygiene & Tropical Medicine, London, UK
                [9 ]Division of Cardiovascular and Medical Sciences , University of Glasgow, Glasgow, UK
                [10 ]Institute of Genetic Medicine , Newcastle University, Newcastle upon Tyne, UK
                Author notes
                Correspondence should be addressed to B R Walker; Email: Brian.Walker@ 123456ncl.ac.uk
                Article
                EJE-19-0161
                10.1530/EJE-19-0161
                6733337
                31325907
                2e46ca55-a54b-4fe4-8edb-e9350a14fd40
                © 2019 The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 05 March 2019
                : 18 July 2019
                Categories
                Clinical Study

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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