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

Autor: Liang Chen, Jia‑Yong Zhong, Jun Bai, Wang Liao, Xian‑Jin Wu, Shuang‑Ping Liu, Ruo Hu
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0301 basic medicine
Proteomics
Cancer Research
Apolipoprotein B
Biochemistry
0302 clinical medicine
subcutaneous immunotherapy
Gene Regulatory Networks
Child
biology
Pyroglyphidae
dust mite-related asthma
Dust
Articles
isobaric tags for relative and absolute quantification
Treatment Outcome
Oncology
030220 oncology & carcinogenesis
Child
Preschool
Proteome
Apolipoprotein B-100
Molecular Medicine
Female
Allergen immunotherapy
Injections
Subcutaneous
Antithrombin III
03 medical and health sciences
Genetics
medicine
Mite
Animals
Humans
Molecular Biology
Asthma
House dust mite
Oncogene
business.industry
Computational Biology
medicine.disease
biology.organism_classification
Molecular medicine
Fibronectins
030104 developmental biology
Gene Expression Regulation
Desensitization
Immunologic
Case-Control Studies
alpha 1-Antitrypsin
Immunology
biology.protein
business
Keratin-1
Biomarkers
Zdroj: Molecular Medicine Reports
ISSN: 1791-3004
1791-2997
Popis: 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.
Databáze: OpenAIRE
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