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      Association of circulating calprotectin with lipid profile in axial spondyloarthritis

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          Abstract

          Calprotectin (CPT) is released during inflammation, also in the context of atherosclerosis. The link between CPT and the atherosclerotic process was evaluated in several diseases. However, studies in axial spondyloarthritis (axSpA), associated with a high incidence of subclinical atherosclerosis, are scarce. Therefore, we assessed the association of CPT with subclinical atherosclerosis and metabolic risk factors in axSpA. CPT serum levels were measured by enzyme-linked immunosorbent assay in 163 axSpA patients and 63 controls. Subclinical atherosclerosis was determined in patients by carotid ultrasonography (assessing the presence/absence of carotid plaques and carotid intima-media thickness [cIMT]). Data on inflammation, disease activity, lipid profile and treatment were collected to evaluate its relationship with CPT. axSpA patients evidenced lower CPT levels than controls. CPT showed no association with plaques or cIMT in axSpA. CPT and HDL-cholesterol negatively correlated, while a positive association of CPT with the atherogenic index was disclosed. Additionally, axSpA patients with C-reactive protein values at diagnosis higher than 3 mg/L displayed higher CPT levels. Our study shows no relationship between CPT and markers of subclinical atherosclerosis in axSpA. Nevertheless, it demonstrates an association of CPT with adverse lipid profiles and inflammatory biomarkers, which could further influence on the development of atherosclerosis.

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          Cardiovascular consequences of metabolic syndrome.

          The metabolic syndrome (MetS) is defined as the concurrence of obesity-associated cardiovascular risk factors including abdominal obesity, impaired glucose tolerance, hypertriglyceridemia, decreased HDL cholesterol, and/or hypertension. Earlier conceptualizations of the MetS focused on insulin resistance as a core feature, and it is clearly coincident with the above list of features. Each component of the MetS is an independent risk factor for cardiovascular disease and the combination of these risk factors elevates rates and severity of cardiovascular disease, related to a spectrum of cardiovascular conditions including microvascular dysfunction, coronary atherosclerosis and calcification, cardiac dysfunction, myocardial infarction, and heart failure. While advances in understanding the etiology and consequences of this complex disorder have been made, the underlying pathophysiological mechanisms remain incompletely understood, and it is unclear how these concurrent risk factors conspire to produce the variety of obesity-associated adverse cardiovascular diseases. In this review, we highlight current knowledge regarding the pathophysiological consequences of obesity and the MetS on cardiovascular function and disease, including considerations of potential physiological and molecular mechanisms that may contribute to these adverse outcomes.
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            Sex- and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: A review of the literature.

            Metabolic syndrome (MS), a cluster of metabolic abnormalities linked to insulin-resistance and abdominal obesity, is associated with an increased risk of Type II diabetes mellitus (DM) and cardiovascular (CV) disease. Its prevalence is high, affecting 20%-30% of the general population, and increases with age in a sex-specific manner: in fact, while below 50 years it is slightly higher in men, it reverses after 50 years. The pronounced age-related increase in the prevalence of MS in women occurs as the result of several factors, which may be classified into sex- and gender-related factors. Sex-related factors, linked to genetical and biological pathways, are mainly driven by hyperandrogenism, insulin-resistance, and the associated increase in abdominal obesity and HDL-cholesterol reduction occurring after menopause. Gender-related factors are sensitive to social and cultural behaviors, dietary habits and psychosocial factors. Women are more prone than men to develop MS in response to work stress and low socio-economic status. Sex and gender differences in the prevalence of MS may translate in different CV risk associated. Prospective studies suggest that the CV risk in women with MS is not only equal but also superior to the CV risk of men with MS. This difference is mostly attenuated when adjusting for the presence of overt DM. Despite similar odds for CV events, the number of CV events may be higher in elderly women because of the higher prevalence of MS compared to men in this age group. Men and women may also have a differential response to treatments for MS, such as lifestyle measures and weight loss. Recent observations suggest that men are better responders than women to non-pharmaceutical therapeutic strategies aimed at reducing the prevalence of MS, although this should be confirmed in large-scale studies. The present review describes the impact of sex and gender on the prevalence, clinical presentation, prognostic significance and treatment of the MS. Attention to gender specificities should be a mandatory pre-requisite of clinical and epidemiological research on MS and CV disease, for a better knowledge and development of health strategies.
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              S100A8 and S100A9: DAMPs at the Crossroads between Innate Immunity, Traditional Risk Factors, and Cardiovascular Disease

              Amplification of innate immune responses by endogenous danger-associated molecular patterns (DAMPs) promotes inflammation. The involvement of S100A8 and S100A9, DAMPs belonging to the S100 calgranulin family, in the pathogenesis of cardiovascular disease is attracting an increasing amount of interest. S100A8 and S100A9 (also termed MRP8 and MRP14) preferentially form the S100A8/A9 heterodimer (MRP8/14 or calprotectin) and are constitutively expressed in myeloid cells. The levels of circulating S100A8/A9 in humans strongly correlate to blood neutrophil counts and are increased by traditional cardiovascular risk factors such as smoking, obesity, hyperglycemia, and dyslipidemia. S100A8/A9 is an endogenous ligand of toll-like receptor 4 (TLR4) and of the receptor for advanced glycation end products (RAGE) and has been shown to promote atherogenesis in mice. In humans, S100A8/A9 correlates with the extent of coronary and carotid atherosclerosis and with a vulnerable plaque phenotype. S100A8/A9 is locally released following myocardial infarction and amplifies the inflammatory responses associated with myocardial ischemia/reperfusion injury. Elevated plasma levels of S100A8/A9 are associated with increased risk of future coronary events in healthy individuals and in myocardial infarction survivors. Thus, S100A8/A9 might represent a useful biomarker and therapeutic target in cardiovascular disease. Importantly, S100A8/A9 blockers have been developed and are approved for clinical testing.
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                Author and article information

                Contributors
                rlopezmejias78@gmail.com
                miguelaggay@hotmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 September 2018
                13 September 2018
                2018
                : 8
                : 13728
                Affiliations
                [1 ]GRID grid.484299.a, Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, IDIVAL, ; Santander, 39011 Spain
                [2 ]Division of Rheumatology, Hospital Comarcal de Laredo, Laredo, 39770 Spain
                [3 ]Bone Metabolism Unit, Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, RETICEF, Santander, 39008 Spain
                [4 ]ISNI 0000 0004 1770 272X, GRID grid.7821.c, Department of Epidemiology and Computational Biology, , School of Medicine, University of Cantabria, and CIBER Epidemiología y Salud Pública (CIBERESP), IDIVAL, ; Santander, 39011 Spain
                [5 ]SERGAS (Servizo Galego de Saude) and IDIS (Instituto de Investigación Sanitaria de Santiago), The NEIRID Group (Neuroendocrine Interactions in Rheumatology and Inflammatory Diseases), Santiago University Clinical Hospital, Santiago de Compostela, 15706 Spain
                [6 ]ISNI 0000 0004 1770 272X, GRID grid.7821.c, School of Medicine, University of Cantabria, ; Santander, 39011 Spain
                [7 ]ISNI 0000 0004 1937 1135, GRID grid.11951.3d, Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, ; Johannesburg, 2000 South Africa
                Author information
                http://orcid.org/0000-0002-7154-1328
                http://orcid.org/0000-0003-0548-2689
                Article
                32199
                10.1038/s41598-018-32199-3
                6137145
                32640d3e-a3aa-415d-b2ff-526298a22272
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 July 2018
                : 4 September 2018
                Funding
                Funded by: FG is a recipient of a Sara Borrell post-doctoral fellowship from the Instituto de Salud Carlos III (ISCIII) (Spain), co-funded by the European Social Fund (ESF, “Investing in your future”) (grant CD15/00095). SR-M is supported by funds of the RETICS Program (RIER) RD16/0012/0009 (ISCIII, co-funded by the European Regional Development Fund, ERDF). VM is supported by funds of a Miguel Servet type I programme (grant CP16/00033) (ISCIII, co-funded by ERDF). RL-M is a recipient of a Miguel Servet type I programme fellowship from the ISCIII, co-funded by the ESF (grant CP16/00033). This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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