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iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy

  • Authors:
    • Jun Bai
    • Jia‑Yong Zhong
    • Wang Liao
    • Ruo Hu
    • Liang Chen
    • Xian‑Jin Wu
    • Shuang‑Ping Liu
  • View Affiliations / Copyright

    Affiliations: Department of Pediatrics, Foshan Maternal and Children's Hospital Affiliated to Southern Medical University, Foshan, Guangdong 528000, P.R. China, Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China, School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510000, P.R. China, Key Laboratory of Research and Utilization of Ethnomedicinal Plant Resources of Hunan Province, Key Laboratory of Hunan Higher Education for Western Hunan Medicinal Plant and Ethnobotany, College of Biological and Food Engineering, Huaihua University, Huaihua, Hunan 418008, P.R. China, Chronic Disease Research Center, Medical College, Dalian University, Dalian, Liaoning 116622, P.R. China
    Copyright: © Bai et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3607-3620
    |
    Published online on: September 1, 2020
       https://doi.org/10.3892/mmr.2020.11472
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Abstract

Asthma is one of the most common childhood chronic diseases worldwide. Subcutaneous immunotherapy (SCIT) is commonly used in the treatment of house dust mite (HDM)‑related asthma in children. However, the therapeutic mechanism of SCIT in asthma remains unclear. The present study aimed to investigate the molecular biomarkers associated with HDM‑related asthma in asthmatic children prior and subsequent to SCIT treatment compared with those in healthy children via proteomic analysis. The study included a control group (30 healthy children), ‑Treatment group (30 children with HDM‑related allergic asthma) and +Treatment group (30 children with HDM‑related allergic asthma treated with SCIT). An isobaric labeling with relative and absolute quantification‑based method was used to analyze serum proteome changes to detect differentially expressed proteins, while functional enrichment and protein‑protein interaction network analysis were used to select candidate biomarkers. A total of 72 differentially expressed proteins were detected in the ‑Treatment, +Treatment and control groups. A total of 33 and 57 differentially expressed proteins were observed in the ‑Treatment vs. control and +Treatment vs. control groups, respectively. Through bioinformatics analysis, 5 candidate proteins [keratin 1 (KRT1), apolipoprotein B (APOB), fibronectin 1, antithrombin III (SERPINC1) and α‑1‑antitrypsin (SERPINA1)] were selected for validation by western blotting; among them, 4 proteins (KRT1, APOB, SERPINC1 and SERPINA1) showed robust reproducibility in asthma and control samples. This study illustrated the changes in proteome regulation following SCIT treatment for asthma. The 4 identified proteins may serve as potential biomarkers prior and subsequent to SCIT treatment, and help elucidate the molecular regulation mechanisms of SCIT to treat HDM‑related asthma.
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Copy and paste a formatted citation
Spandidos Publications style
Bai J, Zhong JY, Liao W, Hu R, Chen L, Wu XJ and Liu SP: iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy. Mol Med Rep 22: 3607-3620, 2020.
APA
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., & Liu, S. (2020). iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy. Molecular Medicine Reports, 22, 3607-3620. https://doi.org/10.3892/mmr.2020.11472
MLA
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., Liu, S."iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy". Molecular Medicine Reports 22.5 (2020): 3607-3620.
Chicago
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., Liu, S."iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy". Molecular Medicine Reports 22, no. 5 (2020): 3607-3620. https://doi.org/10.3892/mmr.2020.11472
Copy and paste a formatted citation
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Spandidos Publications style
Bai J, Zhong JY, Liao W, Hu R, Chen L, Wu XJ and Liu SP: iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy. Mol Med Rep 22: 3607-3620, 2020.
APA
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., & Liu, S. (2020). iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy. Molecular Medicine Reports, 22, 3607-3620. https://doi.org/10.3892/mmr.2020.11472
MLA
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., Liu, S."iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy". Molecular Medicine Reports 22.5 (2020): 3607-3620.
Chicago
Bai, J., Zhong, J., Liao, W., Hu, R., Chen, L., Wu, X., Liu, S."iTRAQ‑based proteomic analysis reveals potential regulatory networks in dust mite‑related asthma treated with subcutaneous allergen immunotherapy". Molecular Medicine Reports 22, no. 5 (2020): 3607-3620. https://doi.org/10.3892/mmr.2020.11472
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