This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

anti-T. gondii IgG in oral fluid. It was then applied to 150 children aged 0-15 months (341 samples) born from 133 women who seroconverted during pregnancy and 17 who remained seronegative. IgG on oral fluid were compared to serum IgG detected with MEIA AxSYM ® Toxo IgG (Abbott Laboratories). Results The pilot study validated the acceptability and the safety of the test and the adequate duration of sampling. IgG detected in serum and in oral fluid had a parallel kinetics among newborns (correlation coefficient: 0.59, p < 0.0001), with a concordant decline in the non-infected ones (n = 110), and matching raising or stable IgG in those who were congenitally-infected (n = 23). Conclusions Collection of oral fluid is painless and inexpensive.Our new test provides a simple and rapid method to detect antiToxoplasma gondii IgG and to manage newborn at risk for congenital infection. It could have many other applications in pregnant women and other groups of patients. Glycogen storage diseases (GSD) are a group of inherited disorders of metabolism that result in storage of excess glycogen. Several well defined defects in one of the enzymes involved in the synthesis or degradation of glycogen have been described. There are over 15 types and they are classified based on the enzyme deficiency and the affected tissue (liver, muscle or both). PO-0384 THE PRACTICAL METHOD TO DIAGNOSIS OF FOURTEEN CASES OF GLYCOGEN STORAGE DISEASES IN OUR LABORATORYIn this study, we wish to report the biochemical investigations adopted in main infantile GSD diagnosed in our laboratory.Four steps diagnostic procedure have been assumed, taking into account several frequent clinical observations leading to further targeted biochemical parameters:1. Assessment of the metabolic disorders with standard tests (fast blood glucose, uric acid, triglycerides, total cholesterol, ASAT, ALAT, CK, lactic acid).2. Quantitative determination of glycogen in leucocytes (or erythrocytes) after extraction, precipitation and treatment with an throne reagent.3. Oral galactose test with blood lactate and glucose estimations, in combination with a glucagon tolerance test to screen the main types of liver glycogenosis.4. Lysosomal acid a-glucosidase activity when GSD type II (Pompe disease) is suspected.Since 1995 and on the basis of this screening procedure and clinical features, 14 cases of GSD have been categorised: · 6 forbes's disease (GSD III, debranching-enzyme deficiency) · 3 von Gierke's disease (GSD I, glucose-6-phosphatase deficiency) · 2 pompe's disease (GSD II, maltase acid deficiency) · 1 Andersen's disease (GSD IV, branching-enzyme deficiency) · 1 Hers's disease (GSD VI, hepatic phosphorylase deficiency) · 1 GSD IX (phosphorylase kinase deficiency) Our laboratory diagnostic approach include simple screening tests easy to implement in clinical chemistry laboratories. Thus, Pompe disease diagnosis is easily done in our laboratory. The measurement of tissue enzyme activities (liver and muscle) of the other enzymes is limited to some specialised laboratories....

No abstract

Background and aims To determine the association between screen time and child outcomes. Methods 706 mothers who were part of a longitudinal pregnancy cohort were mailed a questionnaire when children were 6 to 8 years of age. Mothers reported the amount of time children spent with computers, television, and video games on an average school day (screen time), BMI, child behavior, and physical activity. Using Pearson chi-square tests or independent sample t-tests, children who had more than 2 hours screen time on an average school day were compared to those who had 2 hours or less. Results 450 mothers completed the questionnaire (response rate 64%). 30% of children had more than 2 hours of screen time during school days, and these children were more likely to take longer than 30 minutes to fall asleep (25% vs. 15%, p=0.006) and less likely to exhibit prosocial behavior (mean 12.88 vs. 13.71, p=0.028). There was no association between screen time and BMI or time spent in physical activity. Compared to mothers of children had 2 hours or less of screen time, mothers of children who had more than 2 hours of screen time were less likely to be satisfied with their child's level of physical activity (76% vs. 89%, p<0.001). Conclusions The Canadian Paediatric Society guideline recommends no more than 2 hours of screen time per day. More than a third of children exceed this limit on school days, and this may have important implications for children's sleep and behavior in childhood.

Background and aims There is no much data in the literature about the effects of montelukast on the skin reactivity to inhaled allergens. We analysed whether the skin reactivity to allergens significantly changed after 30 days of daily application of montelukast. Methods Thirty children with asthma (7-14 y) and with skin reactivity to inhaled allergens were receiving 5 mg of montelukast daily for 30 days. Skin prick testing was done before and after therapy. Size of the papule was measured at twentieth minute after allergen application as quantitative (mean of the largest and normally set diameter on it) and qualitative-bimodal: positive/negative (cut-point: 3 mm). The control group consisted of children of the same age (n = 30) with positive skin reactivity who did not receive any medication and has been tested in the same way. The size of the papule, and the number of positive/ negative tests for both groups were compared before and after therapy. The frequency of test conversion in both directions (crossing of positive to negative and vice versa) in the experimental group was compared to the control group. Results After thirty days of montelukast therapy the size of the papule in both groups was not significantly changed (p > 0.05). Compared to the control group, in the experimental group, there was no significant difference in the change of skin reactivity to allergens, either quantitatively (p > 0.05), or qualitatively (p > 0.05) evaluated.