Objective:To investigate the effects of CCR3 on Muc5ac in the airway of asthmatic mice.Methods: Fifty clean BALB/c mice were randomly divided into control group,asthmatic group,dexamethasone treatment group,SB328437 treatment group, vehicle-control group.Total cells and differential inflammatory cells were counted in BALF, the levels of IL-4 and TNF-αwere determined by ELISA,lung tissue HE staining the expressions of Mucin5ac(Muc5ac) and CCR3 in lung tissue were detected by immu-neohistochemical staining and RT-PCR.Results:The total cells,eosinophil,monocytes and lymphocyte cells in BALF,the levels of IL-4,TNF-αin BALF ,the goblet cell of airway wall,the expression of Muc5ac and CCR3 positive staining IOD in the airway and the expression of Muc5ac and CCR3 mRNA lung tissue obviously decreased in SB328437 treatment group and DEX treatment group which compared with asthmatic mice model group ( P<0.05 ) .Conclusion: SB328437 can inhibit the expression of CCR3 in pulmonary tissue,furtherly inhibit the expression and secretion of Muc5ac and control the airway inflammation.

Objective To explore the effects of low frequency electric stimulation at bilateral mastoid processes on motor function and cerebral blood flow of children with cerebral palsy (CP). Methods Ninety children with CP were randomly divided into two groups: an electric stimulation group (group 1) and an conventional rehabilitation control group (group 2), thirty healthy children served as the normal control group. The children of group 1 were treated with FES in addition to the routine rehabilitation treatment. The children of group 2 were given of the routine rehabilitation treatment only. All the patients were treated successively with the above protocol for 3 months. The clinical effect and motor development were evaluated with the gross motor function measure (GMFM), and the blood flow velocities of anterior cerebral artery (ACA), middle cerebral artery (MCA), posterior cerebral artery (PCA) were measured by transcranial doppler (TCD) ultrasound before and after treatment. Results In group 1, significant or some improvement were achieved in 19 and 24 CP children, respectively, with an effective rate of 95.6% . In group 2, significant or some improvement were achieved in 10 and 27 CP children, respectively, with an effective rate of 82.2%. There was significant difference between the two groups with regard to the significant effective rate (P

Objective To investigate the extracellular polysaccharide distribution and components of Ureaplasma urealyticum (Uu) after biofilm having been developed in.Methods The standard serotype 3 and serotype 14 belong to biovar Parvo,and the standard serotype 4 and serotype 8 belong to biovar T960 were employed to form biofilrns in vitro.Scanning electron microscope and confocal laser scanning microscope were used to analysis the biofilms and extracellular polysaccharide.We used combination of two different labeled lectins,Canavalia ensiformis(FITC-ConA) and Erythrina cristagalli(ECA) which bind to specific polysaccharide residues to visualize extracellular polysaccharide in biofilms,and average uorescence intensity was evaluated Results All the strains can form the biofilmsin vitro.The biofilm was honeycomb-Like structures mainly,and extracellular polymeric substances accounts for majority of proportions.All the extracellular polysaccharide could be combined with FITC-ConA and ECA,and the total average fluorescence intensity of FITC-ConA was higher than ECA( P＜0.001 ).Conclusion Ureaplasma urealyticum biofilm is honeycomb-like structures mainly.The extracellular polysaccharide contains,galactose,and N-acetyl glucan residual,and the glucose,mannose residual are the main components.

Objective:To provide reference for the development of a more intelligent and systematic nursing clinical decision support system based on the concept of precision nursing and data sharing, the nursing plan module of clinical decision support system.Methods:An evidence-based knowledge base was constructed based on the nursing process and the standardized nursing terminologies; the nursing plan module was designed according to clinical needs, and the logical reasoning rules were formulated from the generation, sequencing and stopping of nursing problems, objectives, measures and activities, and finally the nursing plan module of clinical decision support system was formed.Results:The nursing plan module of clinical decision support system included the basic information of patients, positive evaluation items and weight values, nursing problems, objectives, measures and activities, etc. the module could automatically deduce the nursing plan according to the patient's individual characteristic index (positive evaluation item), and sort the nursing problems and corresponding measures and activities according to the generation time, weight value and correlation degree. It could automatically distinguish nursing problems, goals, measures and the time of activity stop, and realize intelligent decision-making.Conclusion:The interface of nursing plan module of this system is clear and logical reasoning rules are rigorous. It breaks through the bottleneck of nursing decision-making based on personal professional knowledge and experience in clinical situation for a long time, which can ensure the homogeneity of nursing plan and improve the correctness of decision-making.