Jia Li1, Li-hui Lin1, Juan Wang1, Xia Peng1, Hui-rong Dai1, Hui Xiao1, Fei Li1, Yu-ping Wang1, Zhi-jun Yang2, Li Li3. 1. Department of Laboratory Medicine, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, China. 2. Shanghai Fosun Med-Tech Development Co, Ltd, Shanghai, China. 3. Department of Laboratory Medicine, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, China. Electronic address: annylish@hotmail.com.
Abstract
BACKGROUND: Asthma is a common immune disorder characterized by increased IgE levels. The interleukin (IL)-4 and IL-13 pathway is central for IgE regulation, and previous studies have reported many genetic variants of IL-4/IL-13 signaling in relation to asthma, but few have focused on the gene-to-gene interactions that are likely to contribute to disease complexity. OBJECTIVE: To assess the combined effects of 7 functional single-nucleotide polymorphisms (SNPs) on asthma susceptibility, total serum IgE levels, and gene expression in children. METHODS: Seven SNPs (rs2243250, rs1800925, rs1805010, rs324011, rs2251746, rs2494262, and rs2427837) were genotyped children with asthma (n = 500) and a control group (n = 523), and total serum IgE levels and gene expressions were measured in children with asthma. RESULTS: Children with asthma had a likelier possibility of carrying more risk genotypes. Mean IgE levels increased from the minimum of 71.07 KU/L in children with no tested polymorphisms to a maximum of 901.7 KU/L in children carrying 7 risk genotypes. Gene expression analysis showed that patients with 4 SNPs (rs2243250, rs1800925, rs1805010, and rs3224011) had higher expression levels of IL-4, IL-13, and STAT6. Moreover, serum IgE level generally correlated well with IL-4 (r = 0.236, P = .011) and IL-13 (r = 0.211, P = .021) expressions; IL-4 expression correlated positively with IL-13 (r = 0.962, P = .000) and STAT6 (r = 0.190, P = .022) expressions, and STAT6 expression correlated with IL-4RA expression (r = 0.904, P = .000). CONCLUSION: These data suggest that combinations of multiple SNPs might magnify the impact on disease risk. Only a combined analysis of the variants in the IL-4/IL-13 pathway could show the functional interplay of multiple genes in asthma.
BACKGROUND:Asthma is a common immune disorder characterized by increased IgE levels. The interleukin (IL)-4 and IL-13 pathway is central for IgE regulation, and previous studies have reported many genetic variants of IL-4/IL-13 signaling in relation to asthma, but few have focused on the gene-to-gene interactions that are likely to contribute to disease complexity. OBJECTIVE: To assess the combined effects of 7 functional single-nucleotide polymorphisms (SNPs) on asthma susceptibility, total serum IgE levels, and gene expression in children. METHODS: Seven SNPs (rs2243250, rs1800925, rs1805010, rs324011, rs2251746, rs2494262, and rs2427837) were genotyped children with asthma (n = 500) and a control group (n = 523), and total serum IgE levels and gene expressions were measured in children with asthma. RESULTS:Children with asthma had a likelier possibility of carrying more risk genotypes. Mean IgE levels increased from the minimum of 71.07 KU/L in children with no tested polymorphisms to a maximum of 901.7 KU/L in children carrying 7 risk genotypes. Gene expression analysis showed that patients with 4 SNPs (rs2243250, rs1800925, rs1805010, and rs3224011) had higher expression levels of IL-4, IL-13, and STAT6. Moreover, serum IgE level generally correlated well with IL-4 (r = 0.236, P = .011) and IL-13 (r = 0.211, P = .021) expressions; IL-4 expression correlated positively with IL-13 (r = 0.962, P = .000) and STAT6 (r = 0.190, P = .022) expressions, and STAT6 expression correlated with IL-4RA expression (r = 0.904, P = .000). CONCLUSION: These data suggest that combinations of multiple SNPs might magnify the impact on disease risk. Only a combined analysis of the variants in the IL-4/IL-13 pathway could show the functional interplay of multiple genes in asthma.
Authors: Christopher M Evans; Tasha E Fingerlin; Marvin I Schwarz; David Lynch; Jonathan Kurche; Laura Warg; Ivana V Yang; David A Schwartz Journal: Physiol Rev Date: 2016-10 Impact factor: 37.312
Authors: B Smolkova; J Tulinska; L Palkovicova Murinova; V Buocikova; A Liskova; K Rausova; M Kuricova; H Patayova; M Sustrova; E Neubauerova Svorcova; S Ilavska; M Szabova; T Nemessanyi; E Jahnova; M Dusinska; P Ciznar; L Fuortes Journal: Clin Exp Immunol Date: 2017-02-07 Impact factor: 4.330