| Bronchial asthma is one of the most common chronic inflammatory diseases of the respiratory tract in children,which is characterized by chronic inflammation and hyperresponsiveness of the airway.Clinical characterized by recurrent episodes of wheezing,shortness of breath,chest tightness,and coughing,accompanied by reversible airflow limited,physical examination mainly respiratory phase extension and is given priority to with respiratory phase wheezing sound.It is concerned with exposure to ingestion,inhalation allergens,vigorous exercise,allergic environment,cold air,dust mites,physical and chemical stimulation,etc.The pathogenesis of asthma is still unclear.In recent years,research on the molecular biology and genetics of asthma has become a hot area,which can help clinicians understand the genetic mechanism of asthma and assist in the diagnosis and treatment of asthma.At present,large numbers of candidate genes for asthma have been analyzed by molecular biological methods such as location cloning,candidate gene association analysis and genome-wide association study,and more than 1000 asthma susceptibility genes have been found.Scholars at home and abroad have found that different gene loci can be combined to form gene prediction models,which can predict the occurrence of asthma,affect the progression of asthma,severity of asthma,affect the course of asthma and damage lung function.In this study,we classified the results of a gene prediction model for asthma consisting of four gene loci,and studied the relationship between the results and API,EOS,IgE,Fe NO and lung function.Objectives: To verify the correlation between genotype typing of asthma gene prediction model composed of SNPs of IL-13,IL-4,ADRB2 and FcER1 B and API,serum eosinophil count and percentage,serum total IgE level,Fe NO and lung function change and severity.Methods: A total of 248 wheezing children were randomly selected from the outpatient or inpatient department of the First Pediatric Respiratory Department of the First Hospital of Jilin University from January 2020 to January 2022 as the research subjects.Matrix-assisted laser desorption ionization time-of-flight mass spectrometry was used to type the four SNPs gene sites of the selected children.According to the result of gene prediction model parting asthma were divided into high-risk groups,low risk of asthma,detection in children with peripheral blood eosinophil percentage and the counter,using enzyme-linked immunosorbent method for children with serum total IgE levels and collect children Fe NO,breathing children of different ages to pulmonary function testing.Clinical asthmatic history,manifestations,signs,past history and family history were collected to analyze whether there was a significant relationship between API,eosinophil count and percentage,total IgE level,Fe NO,changes in lung function and severity of changes in lung function in high-risk group and low-risk group.Results: 1.Among 248 children,119 were in the high-risk asthma group and 129 were in the low-risk asthma group.There was no statistical significance in age and gender of asthmatic children in the two groups（P>0.05）.2.A total of 91 infants and young wheezing children were selected from the included subjects for API.It was found that the positive rate of API in high-risk asthma children was higher than that in low-risk asthma group,and the difference was statistically significant（P<0.01）.3.A total of 171 asthmatic children were tested for serum total IgE level,and 229 were tested for peripheral blood eosinophil count and percentage.The results showed that the serum total IgE level,peripheral blood eosinophil count and percentage in the low-risk asthmatic children were lower than those in the high-risk asthmatic children.There was statistically significant difference between groups（P<0.05）.4.A total of 244 children with wheezing were tested for Fe NO,including 125 in the high-risk asthma group and 119 in the low-risk asthma group.Comparison between the two groups showed that the Fe NO in the high-risk asthma group was higher than that in the low-risk asthma group,and the difference was statistically significant（P<0.0001）.The Fe NO detection threshold was divided into low Fe NO value and medium high Fe NO value.The comparison showed that the number of asthmatic children with wheezing with high Fe NO value in the high-risk group was more than twice that of the children with wheezing with low Fe NO value,which was statistically significant（P<0.0001）.5.According to the age of the wheezing children,the moisture lung function,impulse oscillometry lung function and routine pulmonary ventilation function were detected,found that different lung function testing method,asthma between high risk and low risk of asthma group no statistically significant difference were observed in the lung function,severity classification according to the result of pulmonary function,genetic model classification comparison shows has nothing to do with the severity of lung function,there was no significant difference（P>0.05）.Conclusion: 1.The positive rate of API in asthmatic children in the high-risk group was significantly higher than that in the low-risk group.There was a significant correlation between the gene prediction model of asthma and API,suggesting that the gene prediction model can be used as an effective tool to predict the development of asthma in preschool wheezing children.2.The gene prediction model of asthma,which consists of four single tide polymorphism loci of IL-13,IL-4,ADRB2 and FcER1 B genes,affects airway inflammation and the type of eosinophils airway inflammation in children with high-risk wheezing by increasing the level of eosinophils and total serum IgE,which can be used as a risk factor for atopic changes.3.The gene prediction model could not help to judge the status of airway function change and the severity of airway function decline in children with wheezing. |
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