Our finding of unchanged blood flow velocities but normalized cerebrovascular reactivity after treatment suggests that the mechanism of action of flunarizine in migraine does not involve a vasodilatory effect on cerebral vessels. It may be instead that flunarizine modifies cerebrovascular reactivity through its action on centrally located structures that subserve autonomic vascular control.

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In order to reduce the haemolytic susceptibility of glucose-6-phosphate dehydrogenase (G-6-PD) deficient erythrocytes, Ginkgo biloba extract (EGb 761) and vitamin E (vit E) were used as antioxidant agents and their effects compared. The erythrocyte suspensions from control and G-6-PD deficient patients were subjected to hydrogen peroxide (H2O2) incubation for 1 h. The produced thiobarbituric acid reactive substance (TBARS) levels measured as nmol/g Hb were compared with those of the erythrocytes administered 250 microg/mL EGb 761 or vit E previously or concomitantly with H2O2. Preincubation with EGb 761 reduced the TBARS levels from 317.14 +/- 25.27 to 160.09 +/- 21.97 nmol/g Hb in controls and from 348.24 +/- 7.79 to 205.60 +/- 14.22 nmol/g Hb in deficient erythrocytes. Concomitant application of EGb 761 with H2O2 resulted in similar but less reduction. The antioxidative effects of vitamin E were comparable to those of EGb 761. Contrary to the results obtained from oxidant conditions, the antioxidant characteristics of EGb 761 and vitamin E were not observed when they were applied directly to the erythrocytes without oxidative stress. The findings demonstrate that irrespective of administration time, EGb 761 significantly reduced TBARS levels in the erythrocytes of control and G-6-PD deficient patients subjected to oxidative stress.

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The aim of this study was to compare the validity of the leg-to-leg bioelectrical impedance analysis (BIA) method with that of anthropometry using hydrostatic weighing (HW) as the criterion test. A secondary objective was to cross-validate previously developed anthropometric regression equations as well as to develop a new regression equation formula based on the anthropometric data collected in this study. Three methods for assessing body composition (HW, BIA, and anthropometric) were applied to 60 women university athletes. The means and standard deviations of age, weight, height, and body mass index (BMI) of athletes were as follows: age, 20.70 +/- 1.43; weight, 56.19 +/- 7.83 kg; height, 163.33 +/- 6.11 cm; BMI, 21.01 +/- 2.63 kg x m(-2). Leg-to-leg BIA (11.82 +/- 2.39) has shown no statistical difference between percentage body fat determined by HW (11.63 +/- 2.42%) in highly active women (p > 0.05). This result suggests that the leg-to-leg BIA and HW methods were somewhat interchangeable in highly active women (R = 0.667; standard error of estimate [SEE] = 1.81). As a result of all cross-validation analyses, anthropometric and BIA plus anthropometric results have generally produced lower regression coefficients and higher SEEs for highly active women between the ages of 18 and 25 years. The regression coefficients (0.903, 0.926) and SEE (1.08, 0.96) for the new regression formulas developed from this study were better than the all the other formulas used in this study.