Influence of budesonide and salbutamol atomization inhalation on Th17/Treg balance in patients with bronchial asthma and its correlation with airway remodeling

Objective:To study the influence of budesonide and salbutamol atomization inhalation on Th17/Treg balance in patients with bronchial asthma and its correlation with airway remodeling.Methods:A total of 90 patients with bronchial asthma who received systemic treatment in our hospital between July 2013 and April 2016 were divided into control group (n=45) and observation group (n=45) according to random number table. Patients in the control group were treated with salbutamol atomization inhalation alone while those in observation group were treated with budesonide and salbutamol atomization inhalation. The Th17/Treg ratio in peripheral blood as well as serum contents of airway remodeling-related indicators was compared between two groups before and after treatment. The correlation between Th17/Treg balance and airway remodeling in patients with bronchial asthma was detected by Pearson test. Results:Before treatment, the differences in peripheral blood Th17/Treg ratio as well as serum contents of inflammatory mediators, growth factor indexes and collagen metabolism indexes were not statistically significant between two groups of patients. After treatment, peripheral blood Th17/Treg ratio in observation group was lower than that in control group, serum CRP, IL-8, IL-13 and TNF- contents in observation group were lower than those in control group, serum PDGF-BB, b-FGF and VEGF contents in observation group were lower than those in control group, and serum HA, PCⅢ and LN contents in observation group were lower than those in control group. The Th17/Treg ratio in patients with bronchial asthma after treatment was positively correlated with the levels of airway remodeling-related indexes.Conclusion:Budesonide combined with salbutamol atomization inhalation can optimize the Th17/Treg balance in patients with bronchial asthma, and Th17/Treg is directly correlated to the degree of airway remodeling.

Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation

Frequency-hopping(FH)is one of the commonly used spread spectrum techniques that finds wide applications in communications and radar systems because of its inherent capability of low interception,good confidentiality,and strong antiinterference.However,non-cooperation FH transmitter classification is a significant and challenging issue for FH transmitter fingerprint feature recognition,since it not only is sensitive to noise but also has non-linear,non-Gaussian,and non-stability characteristics,which make it difficult to guarantee the classification in the original signal space.Some existing classifiers,such as the sparse representation classifier(SRC),generally use an individual representation rather than all the samples to classify the test data,which over-emphasizes sparsity but ignores the collaborative relationship among the given set of samples.To address these problems,we propose a novel classifier,called the kernel joint representation classifier(KJRC),for FH transmitter fingerprint feature recognition,by integrating kernel projection,collaborative feature representation,and classifier learning into a joint framework.Extensive experiments on real-world FH signals demonstrate the effectiveness of the proposed method in comparison with several state-of-the-art recognition methods.