A Study on the Correlation between Polymorphisms of IL-13, IL-4, ADRB2 and FCER1B Genes and the Treatment of Childhood Asthma in Heilongjiang Region

Authors

  • Yuyang Men Capital Medical University Affiliated Beijing Children's Hospital - Heilongjiang Hospital-Harbin Children's Hospital, Harbin, Heilongjiang, 150001, China
  • Si Chen Capital Medical University Affiliated Beijing Children's Hospital - Heilongjiang Hospital-Harbin Children's Hospital, Harbin, Heilongjiang, 150001, China
  • Jingbo Yu Capital Medical University Affiliated Beijing Children's Hospital - Heilongjiang Hospital-Harbin Children's Hospital, Harbin, Heilongjiang, 150001, China

DOI:

https://doi.org/10.54097/bnjjch34

Keywords:

IL-13, IL-4, ADRB2, FCER1B, Gene Polymorphism, Asthma

Abstract

Objective: To explore the distribution characteristics of polymorphisms of IL-13, IL-4, ADRB2 and FcER1B gene loci in children with asthma in Heilongjiang region, and to analyze their associations with baseline phenotypes (serum total IgE, FeNO, lung function) and maintenance inhaled corticosteroid (ICS) dose, so as to provide evidence for early identification of high-risk children and exploration of genetic susceptibility. Methods: A total of 100 children with newly diagnosed asthma were enrolled. The four loci were genotyped and children were stratified into high-risk (n=43) and low-risk (n=57) groups by genotype risk. All children received long-term stepwise treatment according to the Guidelines for the Diagnosis and Treatment of Childhood Bronchial Asthma (2025 edition) and were followed up at 3, 6 and 12 months. Results: The distributions of the four polymorphisms differed significantly between groups (P < 0.001). High FeNO values and greater severity of lung function obstruction were observed in the high-risk group (P < 0.001), while total IgE showed no significant inter-group difference (P > 0.05); FcER1B showed no significant difference between groups (P = 0.482). After guideline-based stepwise therapy, clinical symptoms improved from baseline in both groups; the inter-group differences in efficacy and relapse during follow-up were descriptive and confounded by baseline phenotypes. Conclusion: The four-locus polymorphisms are associated with baseline phenotypes of asthmatic children in Heilongjiang; genetic testing may serve as a reference for early identification of high-risk children. The benefit of genotype-guided therapy still requires validation by large-sample, prospective randomized studies.

Downloads

Download data is not yet available.

References

[1] Lynch, S. V., Wood, R. A., Boushey, H., Bacharier, L. B., Bloomberg, G. R., Kattan, M., … Gern, J. E. (2014). Effects of early life exposure to allergens and bacteria on recurrent wheeze and atopy in urban children. Journal of Allergy and Clinical Immunology, 134(3), 593 601. https://doi.org/ 10. 1016/ j. jaci.2014.04.018. DOI: https://doi.org/10.1016/j.jaci.2014.04.018

[2] Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., … McCarthy, M. I. (2020). A brief history of human disease genetics. Nature, 577(7789), 179 189. https://doi.org/10.1038/s41586 019 1879 7. DOI: https://doi.org/10.1038/s41586-019-1879-7

[3] Akenroye, A. T., Brunetti, T., Romero, K., Daya, M., Kanchan, K., Shankar, G., … Mathias, R. (2021). Genome wide association study of asthma, total IgE, and lung function in a cohort of Peruvian children. The Journal of Allergy and Clinical Immunology, 148(6), 1493. https://doi.org/ 10.1016/ j.jaci. 2021.05.033. DOI: https://doi.org/10.1016/j.jaci.2021.02.035

[4] Hua, L., Zuo, X. B., Bao, Y. X., Liu, Q. H., Li, J. Y., Lv, J., … Ji, R. X. (2016). Four locus gene interaction between IL13, IL4, FCER1B, and ADRB2 for asthma in Chinese Han children. Pediatric Pulmonology, 51(4), 364 371. https://doi.org/ 10. 1002/ ppul.23261. DOI: https://doi.org/10.1002/ppul.23322

[5] Bai, S., Lu, J., Hua, L., Liu, Q., Chen, M., Gu, Y., … Bao, Y. (2023). Prediction of asthma using a four locus gene model including IL13, IL4, FCER1B, and ADRB2 in children of Kazak nationality. Italian Journal of Pediatrics, 49(1), 162. https: //doi.org/10.1186/s13052 023 01564 4. DOI: https://doi.org/10.1186/s13052-023-01564-y

[6] Yuanyuan, J., Qiufen, X., Rongjun, W., et al. (2021). GLCCI1 gene body methylation in peripheral blood is associated with asthma and asthma severity. Clinica Chimica Acta, 523, 97 105. https://doi.org/10.1016/j.cca.2021.09.006. DOI: https://doi.org/10.1016/j.cca.2021.09.006

[7] Henderson, I., Caiazzo, E., McSharry, C., Guzik, T. J., & Maffia, P. (2020). Why do some asthma patients respond poorly to glucocorticoid therapy?. Pharmacological Research, 160, 105189. https://doi.org/10.1016/j.phrs.2020.105189. DOI: https://doi.org/10.1016/j.phrs.2020.105189

[8] Dweik, R. A. (2011). An official ATS clinical practice guideline: Interpretation of exhaled nitric oxide levels (FeNO) for clinical applications. American Journal of Respiratory and Critical Care Medicine, 184(5), 602 615. https://doi.org/10. 1164/ rccm.201104 0681ST. DOI: https://doi.org/10.1164/rccm.9120-11ST

[9] Chatkin, J., Correa, L., & Santos, U. (2022). External environmental pollution as a risk factor for asthma. Clinical Reviews in Allergy & Immunology, 62(1), 72 89. https:// doi. org/ 10.1007/s12016 021 08882 3. DOI: https://doi.org/10.1007/s12016-020-08830-5

[10] Robinson, D., Humbert, M., Buhl, R., Cruz, A. A., Inoue, H., Korom, S., … Nair, P. (2017). Revisiting type 2 high and type 2 low airway inflammation in asthma: current knowledge and therapeutic implications. Clinical & Experimental Allergy, 47(2), 161 175. https://doi.org/10.1111/cea.12886. DOI: https://doi.org/10.1111/cea.12880

[11] Sun, X., Li, Y., & Bao, Y. (2026). Advances in the association between the ADRB2 gene and bronchial asthma: Genetic polymorphisms, epigenetic regulation, and clinical applications. Current Issues in Molecular Biology, 48(5), 457. https:// doi.org/10.3390/cimb48050457. DOI: https://doi.org/10.3390/cimb48050457

[12] Moon, K., Lee, P., Kim, B., et al. (2015). Claudin 5 in a murine model of allergic asthma: Its implication and response to steroid treatment. The Journal of Allergy and Clinical Immunology, 136(6), 1694 1696.e5. https:// doi. org/ 10. 1016/ j. jaci.2015.08.004. DOI: https://doi.org/10.1016/j.jaci.2015.08.004

[13] Amangeldi, A. Z., & Bulgakova, O. V. (2023). Meta Analysis of the association of FCER1B, FCER2, and ADAM33 gene polymorphisms with asthma. BULLETIN of the LN Gumilyov Eurasian National University. BIOSCIENCE Series, 142(1), 90 102. DOI: https://doi.org/10.32523/2616-7034-2023-142-1-90-102

[14] Liu, J., Zhu, Q., Jiang, H., Zhang, L., & Cao, X. (2023). Evaluation value and mechanism of ADRB2 and FCER1B gene polymorphisms in preterm infants with congenital respiratory diseases. Cellular and Molecular Biology, 69(13), 59 65. https://doi.org/10.14715/cmb/2023.69.13.10. DOI: https://doi.org/10.14715/cmb/2023.69.13.9

[15] Russell, R. J., & Brightling, C. (2017). Pathogenesis of asthma: implications for precision medicine. Clinical Science, 131(14), 1723 1735. https://doi.org/10.1042/CS20170120. DOI: https://doi.org/10.1042/CS20160253

[16] Kareem, R. A., Sameer, H. N., Yaseen, A., Athab, Z. H., Adil, M., & Ahmed, H. H. (2025). A review of recent advances in gene therapy, pharmacogenomics, and genetic polymorphisms in asthma. Molecular Biology Reports, 52(1), 513. https:// doi. org/ 10.1007/s11033 024 09978 6. DOI: https://doi.org/10.1007/s11033-025-10625-w

[17] Zuurhout, M. J., Vijverberg, S. J., Raaijmakers, J. A., Koenderman, L., Postma, D. S., Koppelman, G. H., & Maitland van der Zee, A. H. (2013). Arg16 ADRB2 Genotype Increases the Risk of Asthma Exacerbation in Children with a Reported use of Long Acting β2 Agonists: Results of the Pacman Cohort. Pharmacogenomics, 14(16), 1965–1971. https: // doi. org/10.2217/pgs.13.200. DOI: https://doi.org/10.2217/pgs.13.200

[18] Bai, S., Qin, L., Zhou, T., Chen, S., Yang, F., Hua, L., & Bao, Y. (2026). Association between a four locus gene model including IL13, IL4, FCER1B, and ADRB2 and asthma outcomes. Frontiers in Pediatrics, 14, 1815201. https://doi.org/ 10. 3389/fped.2026.1815201. DOI: https://doi.org/10.3389/fped.2026.1815201

[19] Ramirez Falcon, M., Suarez Pajes, E., & Flores, C. (2024). Defining the differential corticosteroid response basis from multiple omics approaches. International Journal of Molecular Sciences, 25(24), 13611. https://doi.org/10. 3390/ijms 2524 13611. DOI: https://doi.org/10.3390/ijms252413611

[20] Chiba, S., Nakamura, Y., Mizuno, T., Abe, K., Horii, Y., Nagashima, H., … Yamauchi, K. (2018). Impact of the genetic variants of GLCCI1 on clinical features of asthmatic patients. The Clinical Respiratory Journal, 12(3), 1166 1173. https:// doi. org/ 10.1111/crj.12641. DOI: https://doi.org/10.1111/crj.12647

Downloads

Published

29-09-2026

Issue

Vol. 16 No. 3 (2026)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.