Background: Randomized control trials performed in selected populations of severe eosinophilic asthmatics have shown that mepolizumab, an anti-IL5 therapy, was able to reduce exacerbations and OCS maintenance dose and in some studies, to improve asthma control and lung function.Objective: The aim of this study was to confirm the results of the RCTs in real-life in a population of 116 severe eosinophilic asthmatics treated with mepolizumab and who were followed up at the asthma clinic every month for at least 18 months. Severe asthmatics underwent FENO, lung function, asthma control and quality of life questionnaires, sputum induction and gave a blood sample at baseline, after 6 months and then every year. Results:We found a significant reduction in exacerbations by 85% after 6 months (P < .0001), which was maintained over time. We also found a significant and maintained reduction by 50% in the dose of oral corticosteroids (P < .001). Patients improved their ACT (+5.31pts, p<0.0001) ACQ (-1.13pts, P < .0001) and their AQLQ score (+1.24, P < .0001) at 6 months and this was maintained during follow-up. Only 37% reached asthma control (ACQ <1.5, ACT> 20). We observed a progressive increase in post-BD FEV1 that reached significance after 18 months (190ml or 11%, P < .01). Patients improving their FEV1had higher baseline sputum eosinophils than those not improving airway caliber. We found a significant reduction in sputum eosinophil counts by 60% after 6 months (P < .01) and a maintained reduction in blood eosinophil counts by 98% (P < .0001). Conclusion:In our real-life study, we confirm the results published in the RCTs showing a sharp reduction in exacerbation and oral corticosteroids dose and an improvement in asthma control and quality of life. Clinical relevance: Mepolizumab is efficient in severe eosinophilic asthma in real life. K E Y W O R D S eosinophils, exacerbations, lung function, mepolizumab, severe asthma, sputum

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In tissue engineering, proper mechanical property is one of the key subjects for modeling tendon and ligament scaffolds. In this research, attempts were made to determine the factors of structural parameters of wire-rope silk scaffolds by using the intelligent neural network method to find optimum mechanical behavior for tendon and ligament regeneration. Experimental design of wire-rope scaffolds was made according to Taguchi orthogonal method. The input structural parameters were the number of filament and twist in each layer in four levels wire-rope and output was determined by an index that was defined according to mechanical properties of anterior cruciate ligament for young age group. Finally, a back-propagation neural network with a high accuracy was designed to predict the mechanical properties of wire-rope tendon and ligament scaffold and according to sensitivity analysis, the number of filaments and twist in outer layers is less important than other input parameters. Finally, a multiple linear regression, a most widely used statistical method, developed from the data.

Asthma is a common chronic airway disease, the diagnosis of which remains challenging, as recently highlighted by the great proportion of both under- and overdiagnosis [1]. The current diagnosis is based on the conjunction of suggestive symptoms and the demonstration of an excessive airway calibre fluctuation either by a bronchodilation test or by a bronchial challenge [2, 3].

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