Serum levels of vaspin and visfatin in patients with coronary artery disease—Kozani study

BackgroundThe association of novel adipokines, vaspin and visfatin, with atherosclerosis is still obscure. The present study aimed to investigate the relationship of those adipokines with the existence as well as the extent of coronary artery disease (CAD), suggesting a link between adiposity and atherosclerosis.MethodsWe enrolled a total of 108 patients with angiographically proven stable, asymptomatic CAD and 65 healthy controls (HC) without cardiovascular diseases. The severity of CAD was assessed using coronary angiography by the Gensini score. Clinical parameters, glycemic and lipid profile, high-sensitivity CRP (hsCRP), vaspin and visfatin levels were assayed.ResultsSerum levels of vaspin were significantly lower in subjects with CAD [0.91 (0.44–1.29) ng/ml] than healthy controls [1.42 (0.96–2.42) ng/ml] (p = 0.009). Inversely, visfatin (p = 0.016) and hsCRP (p < 0.001) levels were considerably up-regulated in CAD vs HC group. Multivariate analysis demonstrated decreased vaspin and increased visfatin levels to correlate with CAD presence, independent of other cardiovascular risk factors (p < 0.05). Standard multiple regression revealed HDL, LDL-C and vaspin to be independent determinants of Gensini score (R² = 0.189, p = 0.019). Notably, statin-free patients had even lower vaspin levels compared to statin users (p = 0.018).ConclusionsDecreased vaspin and increased visfatin serum levels were observed in asymptomatic patients with CAD. Low vaspin concentrations seemed to correlate with CAD severity.     

Age at menarche in contemporary Greek girls: evidence for levelling-off of the secular trend

AIM: To examine the secular trend of menarcheal age in Greek girls during the last decade. METHODS: Seven hundred and fifty senior high schoolgirls were asked through a questionnaire to report their date of menarche, participation in physical activities and their weight status at menarche. The data were compared with those of a study of 1996. RESULTS: Mean age at menarche (+/-SD) in 2006 was 12.29 (1.19) and in 1996 it was 12.27 (1.13) years, p = 0.73. Maternal menarcheal age was 13.02 (1.32). There was a significant correlation between age at menarche of the schoolgirls and their mothers, p < 0.0001. There was a significant difference in the age at menarche according to the schoolgirls' perceived weight status. Menarcheal age of obese girls (n = 56) was 11.73 (1.21) years, of normal weight girls (n = 474) was 12.29 (1.21) years and of lean girls (n = 220) was 12.42 (1.14) years, p < 0.001. There was no significant difference in the age at menarche between the girls that participated, 12.23 (1.19), and those that did not participate in sporting activities, 12.32 (1.19), p = 0.31. CONCLUSION: Levelling-off of the age at menarche over the last 10 years occurred in Greek girls living in Athens. Menarcheal age is influenced by the weight status and maternal menarcheal age.     

Clinical approach for the classification of congenital uterine malformations

A more objective, accurate and non-invasive estimation of uterine morphology is nowadays feasible based on the use of modern imaging techniques. The validity of the current classification systems in effective categorization of the female genital malformations has been already challenged. A new clinical approach for the classification of uterine anomalies is proposed. Deviation from normal uterine anatomy is the basic characteristic used in analogy to the American Fertility Society classification. The embryological origin of the anomalies is used as a secondary parameter. Uterine anomalies are classified into the following classes: 0, normal uterus; I, dysmorphic uterus; II, septate uterus (absorption defect); III, dysfused uterus (fusion defect); IV, unilateral formed uterus (formation defect); V, aplastic or dysplastic uterus (formation defect); VI, for still unclassified cases. A subdivision of these main classes to further anatomical varieties with clinical significance is also presented. The new proposal has been designed taking into account the experience gained from the use of the currently available classification systems and intending to be as simple as possible, clear enough and accurate as well as open for further development. This proposal could be used as a starting point for a working group of experts in the field.     

Perceptual learning in visual hyperacuity: A reweighting model

Improvements of visual hyperacuity are a key focus in research of perceptual learning. Of particular interest has been the specificity of visual hyperacuity learning to the particular features of the trained stimuli as well as disruption of learning that occurs in some cases when different stimulus features are trained together. The implications of these phenomena on the underlying learning mechanisms are still open to debate; however, there is a marked absence of computational models that explore these phenomena in a unified way. Here we implement a computational learning model based on reweighting and extend it to enable direct comparison, by means of simulations, with a variety of existing psychophysical data. We find that this very simple model can account for a diversity of findings, such as disruption of learning of one task by practice on a similar task, as well as transfer of learning across both tasks and stimulus configurations under certain conditions. These simulations help explain existing results in the literature as well as provide important insights and predictions regarding the reliability of different hyperacuity tasks and stimuli. Our simulations also shed light on the model’s limitations, for example in accounting for temporal aspects of training procedures or dependency of learning with contextual stimuli, which will need to be addressed by future research.