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The Functional IgE-Blocking Factor Induced by Allergen-Specific Immunotherapy Correlates with IgG4 Antibodies and a
Deyu Zhao1, Xuxin Lai, Man Tian
1Respiratory Department, The Affiliated Nanjing Children's Hospital of Nanjing Medical University, PR China.
International Archives of Allergy and Immunology
|April 7, 2016
Summary
Allergen-specific immunotherapy (AIT) for house dust mite (HDM) allergy in children significantly reduces symptoms. Early increases in IgE-blocking factor during AIT predict better long-term symptom control.
Area of Science:
- Immunology
- Allergology
- Pediatrics
Background:
- No validated biomarkers currently exist to predict clinical efficacy of allergen-specific immunotherapy (AIT).
- Investigating correlations between clinical and immunological responses in patients undergoing house dust mite (HDM) AIT is crucial.
Purpose of the Study:
- To explore the relationship between clinical outcomes and immunological markers in children receiving HDM AIT.
- To identify potential biomarkers for predicting AIT efficacy.
Main Methods:
- Sixty-nine children with HDM allergic rhinitis/asthma received 12 months of Dermatophagoides pteronyssinus (Dp) subcutaneous AIT.
- Clinical symptom and medication scores were tracked, alongside measurements of Dp-specific IgE, IgG4, and IgE-blocking factor at baseline, 4, and 12 months.
- A control group of 20 HDM-allergic children was included for comparison.
Main Results:
- AIT led to decreased symptom scores after 4 and 12 months, with no significant change in medication scores compared to controls.
- Levels of Dp IgG4 and Dp IgE-blocking factor increased after 4 months of AIT.
- Increased Dp IgE-blocking factor and Dp IgG4 correlated with reduced symptom scores at 12 months. Higher IgE-blocking factor at 4 months predicted lower symptom scores at 12 months.
Conclusions:
- Subcutaneous HDM AIT effectively reduces allergic symptoms in children.
- Increased IgE-blocking activity early in AIT correlates with clinical symptom improvement.
- Early elevation of IgE-blocking factor may serve as a predictive biomarker for sustained AIT efficacy.
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