The heterogeneous etiology of asthma makes its diagnosis complicated. Measurement of cytokine levels could be relevant in determining the asthma phenotype, predicting severity, and identifying the treatment type. Enzyme-linked immunosorbent assay (ELISA) is one of the most reliable methods, with high sensitivity and specificity. This study aimed to determine the accuracy and utility of interleukin (IL)-13 and IL-17 A in diagnosing children with asthma. A total of 74 asthmatic and 75 healthy children were enrolled in this case-control study between 10/2019 and 3/2021. Sera were collected and analyzed for IL-13 and IL-17A using ELISA. Diagnostic utility assessment was performed using receiver operating characteristic (ROC) analysis. The results showed that both cytokines had a significant capacity to differentiate patients with asthma from the control group. The sensitivity and specificity for IL-17A were 97.3% and 52.0%, respectively, whereas for IL-13 it was 81.1% and 52.0%, respectively. Positive predictive values (PPV) were 66.7% and 62.5% for IL-17A and IL-13, respectively. In conclusion, although both biomarkers had low specificity, IL-17A was more sensitive in differentiating children with asthma from those in the control group and had a higher sensitivity rate than IL-13.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.