1,720,959 research outputs found
Aldosterone, mineralocorticoid receptor and the metabolic syndrome: role of the mineralocorticoid receptor antagonists
No full textSeveral lines of evidence suggest a detrimental effect of aldosterone excess on the development of metabolic alterations. Glucose metabolism derangements due to aldosterone action are frequently observed not only in patients with primary aldosteronism but also in patients with obesity. A contribution to the hyperaldosteronism observed in obese subjects can be attributed, at least in part, to the action of still unidentified adipocyte-derived factor. Aldosterone, through genomic and non-genomic actions contributes to induce several abnormalities: pancreatic fibrosis, impaired beta cell function, as well as reduced skeletal muscle and adipose tissue insulin sensitivity. Oxidative stress, systemic inflammation, together with these metabolic alterations may explain the appearance of the cardiometabolic syndrome and the progression of cardiovascular and renal diseases, in the presence of inappropriate aldosterone levels. The biological actions of aldosterone are mediated by mineralocorticoid receptor (MR), although MR can be activated through an aldosterone independent fashion. Besides salt-water homeostasis, MR activation promotes inflammation, endothelial dysfunction, cardiovascular remodelling and affects adipose tissue differentiation and function. Clinical and experimental studies have shown that MR blockade is able to suppress inflammation, to improve endothelium- dependent vasorelaxation, but most interestingly, to improve pancreatic insulin release as well as insulin-mediated glucose utilization. These actions indicate MR antagonists as a useful therapeutic tool able not only to reduce cardiovascular risk and renal damage, but also to improve metabolic sequaelae
Aldosterone, mineralocorticoid receptor and the metabolic syndrome: role of the mineralocorticoid receptor antagonists
No full textSeveral lines of evidence suggest a detrimental effect of aldosterone excess on the development of metabolic alterations. Glucose metabolism derangements due to aldosterone action are frequently observed not only in patients with primary aldosteronism but also in patients with obesity. A contribution to the hyperaldosteronism observed in obese subjects can be attributed, at least in part, to the action of still unidentified adipocyte-derived factor. Aldosterone, through genomic and non-genomic actions contributes to induce several abnormalities: pancreatic fibrosis, impaired beta cell function, as well as reduced skeletal muscle and adipose tissue insulin sensitivity. Oxidative stress, systemic inflammation, together with these metabolic alterations may explain the appearance of the cardiometabolic syndrome and the progression of cardiovascular and renal diseases, in the presence of inappropriate aldosterone levels. The biological actions of aldosterone are mediated by mineralocorticoid receptor (MR), although MR can be activated through an aldosterone independent fashion. Besides salt-water homeostasis, MR activation promotes inflammation, endothelial dysfunction, cardiovascular remodelling and affects adipose tissue differentiation and function. Clinical and experimental studies have shown that MR blockade is able to suppress inflammation, to improve endothelium- dependent vasorelaxation, but most interestingly, to improve pancreatic insulin release as well as insulin-mediated glucose utilization. These actions indicate MR antagonists as a useful therapeutic tool able not only to reduce cardiovascular risk and renal damage, but also to improve metabolic sequaelae
Association of glucocorticoid receptor polymorphism A3669G with decreased risk of developing diabetes in patients with Cushing's syndrome
No full textObjective
Glucocorticoid receptor (GR) polymorphisms alter glucocorticoid (GC) sensitivity and have been associated with altered metabolic profiles. We evaluate the prevalence of the four GR (NR3C1) polymorphisms BclI, N363S, ER22/23EK, and A3669G in patients with Cushing's syndrome (CS) compared with healthy controls (HC) and we investigate their role in the development of metabolic abnormalities in patients with CS according to their hormonal profile.
Patients and methods
Sixty-one patients with CS and 71 sex- and age-matched HC were genotyped.
Results
BclI variant was markedly higher in patients with CS compared with HC (62 vs 41%, P<0.05) while no significant differences were found among other polymorphisms. A very low frequency of N363S and the ER22/23EK was observed.
In CS patients, despite the significantly increased levels of morning serum cortisol in BclI carriers compared with wild type no clinical or metabolic differences were found.
In contrast, A3669G GR carriers showed a significantly reduced prevalence of type 2 diabetes mellitus compared with wild type (19 vs 68%, P=0.001) despite the higher levels of both serum morning (21.7±6 vs 27.3±8.6 μg/dl, P=0.009) and midnight cortisol (18.8±5.8 vs 24.0±8.0 μg/dl, P=0.01). The negative association between diabetes and A3669G GR polymorphism remained significant when data were adjusted for potential confounding factors.
Conclusions
The A3669G polymorphism of the GR gene plays a protective role in patients with CS, attenuating the effects of GC excess on glucose metabolism as shown by their reduced risk of diabetes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Association of glucocorticoid receptor polymorphism A3669G with decreased risk of developing diabetes in patients with Cushing's syndrome
No full textAbstract
OBJECTIVE:
Glucocorticoid receptor (GR) polymorphisms alter glucocorticoid (GC) sensitivity and have been associated with altered metabolic profiles. We evaluate the prevalence of the four GR (NR3C1) polymorphisms BclI, N363S, ER22/23EK, and A3669G in patients with Cushing's syndrome (CS) compared with healthy controls (HC) and we investigate their role in the development of metabolic abnormalities in patients with CS according to their hormonal profile.
PATIENTS AND METHODS:
Sixty-one patients with CS and 71 sex- and age-matched HC were genotyped.
RESULTS:
BclI variant was markedly higher in patients with CS compared with HC (62 vs 41%, P<0.05) while no significant differences were found among other polymorphisms. A very low frequency of N363S and the ER22/23EK was observed. In CS patients, despite the significantly increased levels of morning serum cortisol in BclI carriers compared with wild type no clinical or metabolic differences were found. In contrast, A3669G GR carriers showed a significantly reduced prevalence of type 2 diabetes mellitus compared with wild type (19 vs 68%, P=0.001) despite the higher levels of both serum morning (21.7±6 vs 27.3±8.6 μg/dl, P=0.009) and midnight cortisol (18.8±5.8 vs 24.0±8.0 μg/dl, P=0.01). The negative association between diabetes and A3669G GR polymorphism remained significant when data were adjusted for potential confounding factors.
CONCLUSIONS:
The A3669G polymorphism of the GR gene plays a protective role in patients with CS, attenuating the effects of GC excess on glucose metabolism as shown by their reduced risk of diabetes
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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