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Single nucleotide polymorphisms (SNPs) in key cytokines may modulate food allergy phenotypes

Overview of attention for article published in Zeitschrift für Lebensmittel- Untersuchung und -Forschung B, September 2012
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Title
Single nucleotide polymorphisms (SNPs) in key cytokines may modulate food allergy phenotypes
Published in
Zeitschrift für Lebensmittel- Untersuchung und -Forschung B, September 2012
DOI 10.1007/s00217-012-1827-3
Pubmed ID
Authors

Paula Brown, Bindukumar Nair, Supriya D. Mahajan, Donald E. Sykes, Gary Rich, Jessica L. Reynolds, Ravikumar Aalinkeel, John Wheeler, Stanley A. Schwartz

Abstract

Single nucleotide polymorphisms (SNPs) can play a direct or indirect role in phenotypic expression in food allergy pathogenesis. Our goal was to quantitate the expression of SNPs in relevant cytokines that were expressed in food allergic patients. SNPs in cytokine genes IL-4 and IL-10 are known to be important in IgE generation and regulation. We examined IL-4 (C-590T), IL-4Rα (1652A/G) and IL-10 (C-627A) SNPs using real-time PCR followed by restriction fragment length polymorphism (RFLP) analysis. Our results show that the AA, AG and GG genotypes for IL-4Rα (1652A/G) polymorphisms were statistically different in radioallergosorbent test (RAST) positive versus negative patients, and although no statistically significant differences were observed between genotypes in the IL-4 (C-590T) and IL-10 (C-627A) SNPs, we observed a significant decrease in IL-4 (C-590T) gene expression and increase in IL-4Rα (1652A/G) and IL-10 (C-627A) gene expression between RAST(+) versus RAST(-) patients, respectively. We also observed significant modulation in the protein expression of IL-4 and IL-10 in the serum samples of the RAST(+) patients as compared to the RAST(-) patients indicating that changes in SNP expression resulted in altered phenotypic response in these patients.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 33%
Researcher 1 6%
Other 1 6%
Student > Doctoral Student 1 6%
Unknown 9 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 17%
Medicine and Dentistry 3 17%
Biochemistry, Genetics and Molecular Biology 2 11%
Immunology and Microbiology 1 6%
Unknown 9 50%