Relationship between NETs,IL-13,Th17/Treg and acute asthma exacerbation in children and its assessing value on airway inflammation
Objective:To investigate the relationship between serum neutrophil extracellular traps (NETs),interleukin-13 (IL-13),T-helper 17 cells/regulatory T cells (Th17/Treg)and acute asthma exacerbation in children.Methods:A total of 128 children with asthma who were treated in Xihua County People's Hospital from September 2019 to July 2021 were selected as the research ob-jects.All selected children were divided into two groups (75 cases in the acute attack group and 53 cases in the remission group)according to the period of asthma attack.64 healthy children who under-went physical examination during the same period were selected as the reference group.The levels of NETs,IL-13,Th17/Treg and airway inflammation indexes (serum total immunoglobulin E,IgE),fractional exhaled nitric ox (FeNO),sputum eosinophils (EOS)and blood eosinophils (BEOSs)of the three groups were recorded and compared,and the correlation between serum NETs,IL-13,Th17/Treg and airway inflammation and their predictive value for acute exacerbation in children with asthma were analyzed.Results:Comparison of NETs,IL-13,Th17/Treg levels at admission showed that acute attack group>remission group>reference group (P<0.05).Comparison of IgE,FeNO,EOS,BEOS levels at admission showed that acute attack group>remission group>reference group (P<0.05).Pearson correlation analysis showed that the changes of serum NETs,IL-13,Th17/Treg levels at admission were positively correlated with IgE,FeNO,EOS,and BEOS (P<0.05 ). The predicted AUCs of IL-13 and Th17/Treg levels in the acute exacerbation period of children with asthma were 0.864,0.838,and 0.789 respectively,and the combined predicted AUC was 0.928 (P<0.05).Conclusion:NETs,IL-13 and Th17/Treg could be used to evaluate and predict acute ex-acerbation in children with asthma,which could provide a basis for clinical evaluation of children's dis-ease and airway inflammation,and help clinicians make effective intervention measures.
NETL
NSTL
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