Single‑nucleotide polymorphisms and haplotypes in the interleukin‑33 gene are associated with a risk of allergic rhinitis in the Chinese population
- Authors:
- Published online on: September 17, 2020 https://doi.org/10.3892/etm.2020.9232
- Article Number: 102
Abstract
Introduction
Allergic rhinitis (AR) is a common upper airway disease, which is characterized by sneezing, rhinorrhea and obstruction of the nasal passages (1). A previous study revealed that AR was mediated by immunoglobulin (Ig)E-induced upper airway inflammation, which is commonly triggered by exposure to allergens (1). AR has been indicated to coexist with other allergic and/or airway conditions, such as asthma, rhinosinusitis, nasal polyps and lower airway infection, among others (2-4). AR is highly prevalent with an incidence rate of 10-20% worldwide (1,5), which has rapidly increased along with industrialization (6). Therefore, AR is considered a major and emerging public health concern, especially in developed countries (6,7). The prevalence of AR in urban China has substantially increased in the past few years (from 2005 to 2011) (8). An epidemiological study has indicated that the overall prevalence of AR in adults in major cities across mainland China has increased from 11.1% in 2005 to 17.6% in 2011, and patients with AR have been revealed to be more susceptible to allergic complications compared with the general population (8). Therefore, subjects diagnosed with AR have been indicated to experience a reduction in their quality of life, although not always severe (9). However, AR cannot be completely treated, which poses a substantial socioeconomic burden (1).
Previous studies have revealed that environmental stimuli serve pivotal roles in the allergic airway responses that are essential for the initiation and exacerbation of AR (10,11). Nevertheless, a potent genetic component has been also associated with this disease (12). The heritability of AR has been estimated to be >65% (13,14). A number of studies have suggested that sequence polymorphisms in multiple genes and regions are associated with an increased risk of AR (15-22), although another study has reported the poor reproducibility of single-nucleotide polymorphism (SNP) associations with this disease (23). Nevertheless, certain genetic variations that have been associated with AR support the hypothesized pathophysiology of this disease (24). Therefore, genetic and physiological investigations cross-validate the putative mechanisms of AR, providing essential insights into its pathogenesis, treatment and prevention (25).
A previous study has suggested that type 2 T helper (Th2) cell-mediated inflammatory responses against environmental stimuli, including pollutants and allergens, contributed in AR pathophysiology (26). According to the classical model for allergic airway diseases, including AR and allergens, which are presented by antigen-presenting cells, result in the activation and expansion of Th2 cells. These Th2 cells have been indicated to subsequently produce Th2 cytokines, such as interleukin (IL)-4, IL-5 and IL-13, which drive IgE antibody production and promote the proliferation and differentiation of multiple effector cells, for example mast cells, eosinophils and basophils (27,28). This results in the secretion of multiple key inflammatory mediators, such as leukotriene and histamine (29-31). In addition to these well-characterized Th2 cytokines, other mediators that are primarily released by epithelial cells, which constitute the first line of defense against environmental stimuli, have also attracted attention owing to their determinant roles in initiating the inflammatory responses. For example, epithelium-derived IL-33 has been indicated to induce allergic airway inflammation (32,33). Previous studies have also reported that during allergen-driven inflammation, IL-33 was expressed by a variety of immune cells, including important immune cell types such as eosinophils (32,33).
IL-33 is a member of the IL-1 family of cytokines (34,35). The role of IL-33 in bronchial asthma has been extensively studied (34,35). SNPs in the genes encoding IL-33 and its receptor ST2, which is also referred to as IL1 receptor-like (RL)1, have been indicated to be associated with allergic asthma and atopic dermatitis (35-37). In addition, clinical studies have demonstrated that the serum levels of IL-33 and the soluble form of ST2 (sST2) were indicators of asthma progression and exacerbation (38,39). Functional studies have additionally verified the impact of IL-33 and ST2 on allergic airway inflammation. For example, IL-33 has been indicated to induce the production of Th2 cytokines by polarized Th2 cells in vitro (40), and increase the expression of Th2 cytokines and the serum levels of IgE in vivo (40). In murine models of allergic airway inflammation, allergen exposure has been revealed to increase the endogenous levels of ST2 and Th2-mediated airway inflammation (41), while blockade of ST2 using a recombinant IgG fusion protein has been indicated to inhibit the allergic inflammation (42,43). Notably, ST2 has been indicated to be highly expressed on mast cells, except for Th2 cells, (42,44,45), which suggests a potential direct impact of IL-33 on a number of hypersensitive and allergic reactions that are mediated by these cells.
Previous studies have examined the potential association of IL-33 with AR, as IL-33 has been indicated to exhibit a well-characterized regulatory impact on the initiation and exacerbation of allergic airway responses (46-48). In patients with intermittent AR who are sensitive to trees and/or grass pollens, serum IL-33 has been revealed to be increased compared with normal controls and positively correlate with disease severity (49). The serum levels of IL-33 have also been reported to be higher in patients with Japanese cedar (JC) pollinosis compared with normal controls (50), and two IL-33 SNPs have been associated with the disease (50). Notably, IL-33 in the serum of patients with AR can be decreased following immunotherapy (51). Intranasal administration of anti-tumor necrosis factor-α IgY has been indicated to reduce both IL-33 and ovalbumin-specific IgE antibodies in the serum and nasal lavage fluids of patients (52). Although IL-33 is not always detectable in serum, increased levels of IL-33 in sinus mucosa have also been reported in patients with JC pollinosis and house dust mite (HDM)-sensitized AR (53). A previous study has demonstrated that an anti-IL-33 antibody exhibited a therapeutic potential in experimental AR (54). Moreover, IL-33 receptor ST2 has been indicated to be highly expressed in the nasal epithelium of patients with AR or chronic rhinosinusitis (55-57), and the concentration of sST2 in the nasal lavage fluids of patients with AR have been revealed to increase when patients experience pollen-induced allergic reactions (58). Taken together, these data suggest that IL-33 likely facilitates the pathogenesis of AR. Therefore, additional studies on this cytokine may provide novel insights on potential preventive strategies against AR.
As aforementioned, the prevalence of AR has increased in recent years in the Chinese population; however little is known about the susceptibility factors to AR, especially the genetic basis, in this ethnic group. Therefore, the aim of the present study was to perform genetic analyses of the IL-33 variations in the Han Chinese population to reveal whether variations in this gene confer an inheritable risk of AR.
Materials and methods
Subjects
A total of 769 patients with AR (453 men and 316 women) aged between 10 and 65 years (mean ± standard deviation, 37.74±16.52) were recruited between January 2014 and July 2019. The diagnosis of AR was performed following the criteria of Allergic Rhinitis and its Impact on Asthma (1). Subjects presenting > two common symptoms of AR (for example nasal congestion, rhinorrhea, nasal itching and sneezing) for >4 days/week for at least 3 weeks during the past 12 months were diagnosed with AR. All patients received antihistaminic and steroids at The Second Hospital of Jingzhou and Shishou People's Hospital (Jingzhou, China). Specific allergens as potential cause of AR were determined for each patient via skin prick tests (SPT; Allergopharma GmbH & Co. KG) in accordance with the recommendations by the Subcommittee on Allergen Standardization and Skin Tests of the European Academy of Allergy and Clinical Immunology (59). A total of 18 inhaled allergens, including HDM, grass, tree, mold, food and weed panel allergens, were examined. The presence of a wheal ≥ one half of the diameter of the histamine control and >3 mm of the negative control was defined positive in the SPT. Patients with any other systemic diseases were excluded from the study.
A total of 769 healthy volunteers (442 men and 327 women) aged between 10 and 65 years (mean ± standard deviation, 37.01±15.94) that tested negative for allergens in the skin prick tests were recruited as control subjects in the current study. The controls were also recruited at The Second Hospital of Jingzhou and Shishou People's Hospital (Jingzhou, China) between January 2014 and July 2019. In addition, the control subjects did not exhibit any clinical diagnosis or family history of allergy, and did not experience an upper respiratory tract infection within the last 4 weeks prior to the study. All patients and controls were Han Chinese.
SNP selection
SNPs were selected based on previous studies and the genotype data from the 1,000 Genomes Project (60). Based on the high comorbidity rate of AR and asthma, genome-wide association studies (GWAS) on asthma were firstly screened to select genome-wide significant variants spanning IL-33. Briefly, four SNPs (rs928413, rs9775039, rs992969 and rs2381416) in IL-33 have been indicated to exhibit genome-wide significant associations with asthma in previous GWAS on European and Asian populations (24,61-64). According to the 1,000 Genomes Project, three IL-33 SNPs (rs928413, rs992969 and rs2381416) have been indicated to be polymorphic in the Han Chinese population, and therefore were selected in the present study. The aforementioned study in subjects with JC pollinosis was also reviewed (50), and two additional SNPs that have been associated with this disease were selected (rs1929992 and rs10975519; Fig. 1). The linkage disequilibrium (LD) pattern of IL-33 in the Han Chinese population was subsequently examined based on data from the 1,000 Genomes Project, and nine representative tagging SNPs (rs1475658, rs10815374, rs1891385, rs16924144, rs10435816, rs16924159, rs16924161, rs117414011 and rs78100995) spanning the IL-33 gene were selected (Fig. 1). In summary, a total of 14 SNPs (Table I) were selected for subsequent investigation in the current study.
Table IHWE and genotypic association analyses of 14 interleukin-33 SNPs with the risk of allergic rhinitis. |
SNP genotyping
Saliva was collected from the participants, and genomic DNA was extracted according to the manufacturer's protocol (MagMAX gDNA Saliva Isolation Kit; Thermo Fisher Scientific, Inc.). The extracted DNA was dissolved in 50 ml Tris-EDTA buffer (10 mM Tris, pH 7.8; 1 mM EDTA). The concentration of the DNA samples was quantified via measuring the optical density at 260 nm using NanoDrop. A multiplex PCR was performed to simultaneously amplify multiple SNPs in one reaction in 96-well plates, and each well contained 20 ng genomic DNA, 10 mmol/l primers (the primer sequences are presented in Table SI), 2 µl dNTP, 2 µl 10X PCR buffer, 1 µl 25 mmol/l MgCl2 and 0.4 units Taq polymerase (Takara Biotechnology Co., Ltd.). The multiplex PCR reaction was conducted on an ABI 9700 cycler (Applied Biosystems; Thermo Fisher Scientific, Inc.) using the following thermocycling conditions: Denaturation for 5 min at 95˚C; 40 cycles of 30 sec at 95˚C, 30 sec at 60˚C and 30 sec at 72˚C; and extension for 10 min at 72˚C. The PCR products were subsequently used to genotype candidate SNPs with the SNaPshot method. In brief, the PCR products were purified via shrimp alkaline phosphatase (cat. no. M0371L; New England Biolabs) and exonuclease I (cat. no. M0293L; BioLabs) treatment at 37˚C for 1 h. Specifically designed SNaPshot primers (the primer sequences are presented in Table SII) were used to amplify the SNP target sites for one base extension using SNaPshot Multiplex Ready Reaction Mix (cat. no. 4323166; Applied Biosystems; Thermo Fisher Scientific, Inc.), following which the reaction was terminated and the products were loaded on an ABI 3730 automated sequencer (Applied Biosystems; Thermo Fisher Scientific, Inc.). The SNP genotype calling results were automatically retrieved using GeneMarker version 2.2.0 software (SoftGenetics) and were manually verified. All genotypes were called blind to sample identity and affection status and were independently reviewed and confirmed by two authors. A total of 5% of the samples were randomly selected for re-analysis to ensure 100% concordance.
Statistical analyses
Haploview software (version 4.1; Broad Institute of Massachusetts Institute of Technology and Harvard) (65) and the online program SHEsis (http://analysis.bio-x.cn/myAnalysis.php) (66,67) were used to calculate the Hardy-Weinberg equilibrium (HWE) of each SNP in cases and controls, and the LD between paired SNPs was defined using the r2 algorithm. SHEsis was also used to compare the allelic and genotypic distributions of each SNP between cases and controls, and Pearson's χ2 test was applied to calculate the P-values, odds ratios (ORs) and 95% confidence intervals (66,67). Haplotype frequencies and association signals were estimated with the online program SHEsis using the χ2 test (66,67). The haplotypes with a frequency <0.005 in both cases and controls were discarded, and nine haplotypes remained for subsequent analyses.
Results
Demographics of the participants
No significant differences were observed between cases and controls in terms of their mean age (P=0.38) and sex distribution (P=0.29). According to the SPT results of 769 patients with AR, 352 (45.8%) were sensitized to HDM, 147 (19.1%) were sensitized to tree pollen and 270 (35.1%) were sensitized to multiple allergens (data not shown).
LD of the IL-33 gene
A total of 14 SNPs in IL-33, with a frequency >0.01, were selected to examine their associations with AR. Their locations within or close to the IL-33 gene and the LD map in the Han Chinese population are presented in Fig. 1. All these SNPs were biallelic with minor allele frequency (MAF) >1%. The asthma GWAS risk SNPs (rs928413, rs992969 and rs2381416) were localized in the 5'-flanking region of the IL-33 gene, one SNP (rs10975519) represented a synonymous substitution (Tyr163Tyr) in an IL-33 exon and the remaining SNPs were localized in the intronic or intergenic regions. A pairwise LD among the 14 IL-33 SNPs was constructed using genotype data of Han Chinese individuals (n=208), which were obtained from the 1,000 Genomes Project (Fig. 1).
Association of polymorphisms in the IL-33 gene with the risk of AR
The call rate for the SNPs was >99%, and all SNPs were in HWE in both patients with AR and healthy controls (HWE P>0.01; Table I). To examine whether SNPs in the IL-33 gene exhibited an association with the risk of AR, both the allelic and genotypic frequencies of the SNPs were compared between cases and controls. The analysis of allele frequencies revealed that five SNPs in the 5'-flanking region of IL-33 were significantly associated with the risk of AR, and the minor alleles of all five SNPs exhibited significantly increased frequencies in patients with AR compared with controls (rs2381416, P=0.0017, OR=1.690; rs1475658, P=0.003, OR=1.50; rs992969, P=0.0006, OR=1.89; rs928413, P=0.0045, OR=1.53; rs10815374, P=0.0067, OR=1.51; Table II). These five SNPs exhibited a moderate pairwise LD in the Han Chinese population (Fig. 1), and notably, three of them (rs928413, rs992969 and rs2381416) have previously been indicated to be associated with asthma (61,62,64), with their asthma risk alleles being the same as their AR risk alleles, as revealed in the present study. These results verified the genetic link between AR and asthma in the IL-33 locus. However, the other nine SNPs in IL-33 did not exhibit an association with AR in the current study (Table II). The genotypic analyses of 14 SNPs presented similar results to the allelic analyses (Table I). The LD maps of the 14 IL-33 SNPs in the Han Chinese case and control samples were constructed, and it was indicated that the LD patterns of cases and controls were similar (Fig. 2). The LD map that was constructed using genotype data from the 1,000 Genomes Project was also indicated to be similar to the LD maps of the cases and controls of the current study (Fig. 1).
Association of haplotypes in the IL-33 gene with the risk of AR
As all five SNPs in the 5'-flanking region of IL-33 exhibited a significant association with the risk of AR, the association of their haplotypes with the risk of AR was subsequently examined. A protective haplotype that exhibited a significant association with AR was identified (A-A-G-A-G; P=0.0001; Table III). This haplotype contained the protective alleles of all five SNPs, and its frequency was significantly lower in AR cases compared with controls (frequency=0.884 in cases vs. 0.925 in controls; P=0.0001; OR=0.61). The minor allele frequencies of these five SNPs in the Han Chinese population were relatively low (MAF <0.1; Table II), and the frequency of their haplotypes was even lower compared with MAFs (Table III). Nevertheless, two minor haplotypes exhibited a significant association with increased risk of AR in the present study (C-T-A-G-A frequency =0.041 in cases vs. 0.026 in controls, P=0.023, OR=1.60; C-T-A-A-G frequency, 0.009 in cases vs. 0.000 in controls, P=0.00028). Global analysis also indicated a significant association of these haplotypes with the risk of AR (global P=0.00064). Collectively, the haplotype analysis additionally demonstrated that IL-33 may harbor risk variants for AR.
Table IIIHaplotypic association analysis of five IL-33 SNPs (rs2381416, rs1475658, rs992969, rs928413 and rs10815374) with the risk of allergic rhinitis. |
Discussion
Allergic rhinitis (AR) is a common allergic disease exhibiting important comorbidity with a number of atopic diseases, for example allergic asthma. Although Th2-mediated allergic inflammation has been indicated to facilitate AR pathogenesis, the associated genetic components remain to be fully determined (1). As >80% of patients with asthma exhibit rhinitis, and 10-40% of patients with rhinitis develop asthma, these two diseases are considered to share risk factors and mechanisms (1). Therefore, it is of interest to examine the association between the GWAS risk loci of asthma and AR. IL-33 has been highlighted as an important initiating factor for allergic asthma, and a recent study on whole blood gene expression profiles has revealed a consistent overexpression of the IL1RL1 gene, which encodes IL-33 receptor ST2, in patients diagnosed with multiple morbidities for asthma, dermatitis and rhinitis compared with normal controls (68). Therefore, the present study aimed to explore whether polymorphisms in IL-33 also affect the susceptibility to AR. Using the SNaPshot method, the current study indicated that SNPs in the IL-33 gene, which have been previously associated with asthma (61,62,64), were also associated with AR. This observation supported the shared pathological mechanism between asthma and AR, and provided insights into inflammatory responses associated with AR (69). Previous studies have also reported that asthma susceptibility loci exhibited an association with AR, and several other risk variants have also been highlighted conferring a risk of both asthma and AR (70-73).
The SNPs that were significantly associated with AR in the present study were localized in the promoter region of IL-33, and may have potential regulatory impact on this gene. For example, the A-allele of rs992969, which is associated with an increased risk of AR in the present study, was also significantly associated with higher IL-33 expression in bronchial epithelial cells (P=1.3x10-6) in a previous study (74). A recent study has indicated that the A-allele of rs992969 was significantly associated with a higher mRNA level of IL-33 in bronchial brushes (P=8.3x10-12) (75). In addition, a functional study has revealed that the G-allele of rs928413 was associated with higher IL-33 promoter activity compared with the A-allele in lung cancer cells, and the G-allele of rs928413 included a binding site for cyclic AMP-responsive element-binding protein 1, which is likely an activator of IL-33 transcription in the presence of this allele (76). These studies have demonstrated the potential regulatory effects of these SNPs on the transcription of IL-33.
Although a number of atopic conditions are considered to arise from altered Th2 immune responses against environmental allergens (77,78), the involvement of IL-33 in this process has attracted attention in recent years. In addition to targeting altered Th2 immune responses and their downstream effectors, it has been recognized that the successful prevention of allergic airway diseases is important to alleviate public health and economic burdens (79-81). Therefore, pathways mediating the initiation of allergic airway responses have been extensively studied, and IL-33 has been indicated to be a potential target molecule for the early control and prevention of allergic airway inflammation (82-84). In the current study, the association between IL-33 and AR was demonstrated, and novel data regarding the genetic basis of AR in the Han Chinese population were analyzed. Subsequent analyses validating these findings may reveal further genetic susceptibility to AR. Moreover, GWAS are still required to determine the shared and unique mechanisms of AR compared with other atopic diseases.
Supplementary Material
Primer sequences for the PCR amplification of each SNP.
SNaPShot primer sequences of each SNP.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Authors' contributions
HR and HX conceived the present study, conducted the primary experiments and analyses. XZ, LG and SL performed additional experiments. HR and XZ collected clinical samples. HR and HX drafted the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The present study was approved by the Ethics Committees of The Second Hospital of Jingzhou, Hubei College of Chinese Medicine and Shishou People's Hospital. All investigation procedures were performed in agreement with the Declaration of Helsinki. Oral informed consent was provided by the participants or their guardians.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Bousquet J, Khaltaev N, Cruz AA, Denburg J, Fokkens WJ, Togias A, Zuberbier T, Baena-Cagnani CE, Canonica GW, van Weel C, et al: Allergic rhinitis and its impact on asthma (ARIA) 2008 update (in collaboration with the world health organization, GA(2)LEN and AllerGen). Allergy. 63 (Suppl 86):S8–S160. 2008.PubMed/NCBI View Article : Google Scholar | |
Leynaert B, Neukirch F, Demoly P and Bousquet J: Epidemiologic evidence for asthma and rhinitis comorbidity. J Allergy Clin Immunol. 106 (5 Suppl):S201–S205. 2000.PubMed/NCBI View Article : Google Scholar | |
Bousquet J, Van Cauwenberge P and Khaltaev N: Aria Workshop Group; World Health Organization. Allergic rhinitis and its impact on asthma. J Allergy Clin Immunol. 108 (5 Suppl):S147–S334. 2001.PubMed/NCBI View Article : Google Scholar | |
Falade AG, Ige OM, Yusuf BO, Onadeko MO and Onadeko BO: Trends in the prevalence and severity of symptoms of asthma, allergic rhinoconjunctivitis, and atopic eczema. J Natl Med Assoc. 101:414–418. 2009.PubMed/NCBI View Article : Google Scholar | |
Nathan RA: The burden of allergic rhinitis. Allergy Asthma Proc. 28:3–9. 2007.PubMed/NCBI View Article : Google Scholar | |
Worldwide variation in prevalence of symptoms of asthma, allergic rhinoconjunctivitis, atopic eczema. ISAAC. The international study of asthma and allergies in childhood (ISAAC) steering committee. Lancet. 351:1225–1232. 1998.PubMed/NCBI View Article : Google Scholar | |
Haahtela T, Holgate S, Pawankar R, Akdis CA, Benjaponpitak S, Caraballo L, Demain J, Portnoy J and von Hertzen L: WAO Special Committee on Climate Change and Biodiversity. The biodiversity hypothesis and allergic disease: World allergy organization position statement. World Allergy Organ J. 6(3)2013.PubMed/NCBI View Article : Google Scholar | |
Wang XD, Zheng M, Lou HF, Wang CS, Zhang Y, Bo MY, Ge SQ, Zhang N, Zhang L and Bachert C: An increased prevalence of self-reported allergic rhinitis in major Chinese cities from 2005 to 2011. Allergy. 71:1170–1180. 2016.PubMed/NCBI View Article : Google Scholar | |
Thompson AK, Juniper E and Meltzer EO: Quality of life in patients with allergic rhinitis. Ann Allergy Asthma Immunol. 85:338–347; quiz 347-8. 2000.PubMed/NCBI View Article : Google Scholar | |
Dunlop J, Matsui E and Sharma HP: Allergic rhinitis: Environmental determinants. Immunol Allergy Clin North Am. 36:367–377. 2016.PubMed/NCBI View Article : Google Scholar | |
Greiner AN, Hellings PW, Rotiroti G and Scadding GK: Allergic rhinitis. Lancet. 378:2112–2122. 2011.PubMed/NCBI View Article : Google Scholar | |
Portelli MA, Hodge E and Sayers I: Genetic risk factors for the development of allergic disease identified by genome-wide association. Clin Exp Allergy. 45:21–31. 2015.PubMed/NCBI View Article : Google Scholar | |
Willemsen G, van Beijsterveldt TC, van Baal CG, Postma D and Boomsma DI: Heritability of self-reported asthma and allergy: A study in adult Dutch twins, siblings and parents. Twin Res Hum Genet. 11:132–142. 2008.PubMed/NCBI View Article : Google Scholar | |
Fagnani C, Annesi-Maesano I, Brescianini S, D'Ippolito C, Medda E, Nisticò L, Patriarca V, Rotondi D, Toccaceli V and Stazi MA: Heritability and shared genetic effects of asthma and hay fever: An Italian study of young twins. Twin Res Hum Genet. 11:121–131. 2008.PubMed/NCBI View Article : Google Scholar | |
Bunyavanich S, Schadt EE, Himes BE, Lasky-Su J, Qiu W, Lazarus R, Ziniti JP, Cohain A, Linderman M, Torgerson DG, et al: Integrated genome-wide association, coexpression network, and expression single nucleotide polymorphism analysis identifies novel pathway in allergic rhinitis. BMC Med Genomics. 7(48)2014.PubMed/NCBI View Article : Google Scholar | |
Andiappan AK, Wang de Y, Anantharaman R, Parate PN, Suri BK, Low HQ, Li Y, Zhao W, Castagnoli P, Liu J and Chew FT: Genome-wide association study for atopy and allergic rhinitis in a Singapore Chinese population. PLoS One. 6(e19719)2011.PubMed/NCBI View Article : Google Scholar | |
Fujii R, Hishida A, Wu MC, Kondo T, Hattori Y, Naito M, Endoh K, Nakatochi M, Hamajima N, Kubo M, et al: Genome-wide association study for pollinosis identified two novel loci in interleukin (IL)-1B in a Japanese population. Nagoya J Med Sci. 80:109–120. 2018.PubMed/NCBI View Article : Google Scholar | |
Shen Y, Liu Y, Wang XQ, Ke X, Kang HY and Hong SL: Association between TNFSF4 and BLK gene polymorphisms and susceptibility to allergic rhinitis. Mol Med Rep. 16:3224–3232. 2017.PubMed/NCBI View Article : Google Scholar | |
Zhang Y, Lin X, Desrosiers M, Zhang W, Meng N, Zhao L, Han D and Zhang L: Association pattern of interleukin-1 receptor-associated kinase-4 gene polymorphisms with allergic rhinitis in a Han Chinese population. PLoS One. 6(e21769)2011.PubMed/NCBI View Article : Google Scholar | |
Ke X, Song S, Wang X, Shen Y, Kang H and Hong S: Associations of single nucleotide polymorphisms of PTPN22 and Ctla4 genes with the risk of allergic rhinitis in a Chinese Han population. Hum Immunol. 78:227–231. 2017.PubMed/NCBI View Article : Google Scholar | |
Kanazawa J, Masuko H, Yatagai Y, Sakamoto T, Yamada H, Kitazawa H, Iijima H, Naito T, Saito T, Noguchi E, et al: Association analyses of eQTLs of the TYRO3 gene and allergic diseases in Japanese populations. Allergol Int. 68:77–81. 2019.PubMed/NCBI View Article : Google Scholar | |
Ke X, Yang Y, Shen Y, Wang X and Hong S: Association between TNFAIP3 gene polymorphisms and risk of allergic rhinitis in a Chinese Han population. Iran J Allergy Asthma Immunol. 15:46–52. 2016.PubMed/NCBI | |
Nilsson D, Andiappan AK, Hallden C, Tim CF, Säll T, Wang de Y and Cardell LO: Poor reproducibility of allergic rhinitis SNP associations. PLoS One. 8(e53975)2013.PubMed/NCBI View Article : Google Scholar | |
Waage J, Standl M, Curtin JA, Jessen LE, Thorsen J, Tian C and Schoettler N: 23andMe Research Team; AAGC collaborators, Flores C, et al. Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nat Genet. 50:1072–1080. 2018.PubMed/NCBI View Article : Google Scholar | |
Li J, Zhang Y and Zhang L: Discovering susceptibility genes for allergic rhinitis and allergy using a genome-wide association study strategy. Curr Opin Allergy Clin Immunol. 15:33–40. 2015.PubMed/NCBI View Article : Google Scholar | |
Romagnani S: The increased prevalence of allergy and the hygiene hypothesis: Missing immune deviation, reduced immune suppression, or both? Immunology. 112:352–363. 2004.PubMed/NCBI View Article : Google Scholar | |
Romagnani S: Lymphokine production by human T cells in disease states. Annu Rev Immunol. 12:227–257. 1994.PubMed/NCBI View Article : Google Scholar | |
Abbas AK, Murphy KM and Sher A: Functional diversity of helper T lymphocytes. Nature. 383:787–793. 1996.PubMed/NCBI View Article : Google Scholar | |
Li L, Xia Y, Nguyen A, Lai YH, Feng L, Mosmann TR and Lo D: Effects of Th2 cytokines on chemokine expression in the lung: IL-13 potently induces eotaxin expression by airway epithelial cells. J Immunol. 162:2477–2487. 1999.PubMed/NCBI | |
Durham SR, Ying S, Varney VA, Jacobson MR, Sudderick RM, Mackay IS, Kay AB and Hamid QA: Cytokine messenger RNA expression for IL-3, IL-4, IL-5, and granulocyte/macrophage-colony-stimulating factor in the nasal mucosa after local allergen provocation: Relationship to tissue eosinophilia. J Immunol. 148:2390–2394. 1992.PubMed/NCBI | |
Bischoff SC, Sellge G, Lorentz A, Sebald W, Raab R and Manns MP: IL-4 enhances proliferation and mediator release in mature human mast cells. Proc Natl Acad Sci USA. 96:8080–8085. 1999.PubMed/NCBI View Article : Google Scholar | |
Hardman CS, Panova V and McKenzie AN: IL-33 citrine reporter mice reveal the temporal and spatial expression of IL-33 during allergic lung inflammation. Eur J Immunol. 43:488–498. 2013.PubMed/NCBI View Article : Google Scholar | |
Bystrom J, Patel SY, Amin K and Bishop-Bailey D: Dissecting the role of eosinophil cationic protein in upper airway disease. Curr Opin Allergy Clin Immunol. 12:18–23. 2012.PubMed/NCBI View Article : Google Scholar | |
Prefontaine D, Nadigel J, Chouiali F, Audusseau S, Semlali A, Chakir J, Martin JG and Hamid Q: Increased IL-33 expression by epithelial cells in bronchial asthma. J Allergy Clin Immunol. 125:752–754. 2010.PubMed/NCBI View Article : Google Scholar | |
Lloyd CM: IL-33 family members and asthma-bridging innate and adaptive immune responses. Curr Opin Immunol. 22:800–806. 2010.PubMed/NCBI View Article : Google Scholar | |
Shimizu M, Matsuda A, Yanagisawa K, Hirota T, Akahoshi M, Inomata N, Ebe K, Tanaka K, Sugiura H, Nakashima K, et al: Functional SNPs in the distal promoter of the ST2 gene are associated with atopic dermatitis. Hum Mol Genet. 14:2919–2927. 2005.PubMed/NCBI View Article : Google Scholar | |
Grotenboer NS, Ketelaar ME, Koppelman GH and Nawijn MC: Decoding asthma: Translating genetic variation in IL-33 and IL1RL1 into disease pathophysiology. J Allergy Clin Immunol. 131:856–865. 2013.PubMed/NCBI View Article : Google Scholar | |
Watanabe M, Nakamoto K, Inui T, Sada M, Honda K, Tamura M, Ogawa Y, Yokoyama T, Saraya T, Kurai D, et al: Serum sST2 levels predict severe exacerbation of asthma. Respir Res. 19(169)2018.PubMed/NCBI View Article : Google Scholar | |
Li R, Yang G, Yang R, Peng X and Li J: Interleukin-33 and receptor ST2 as indicators in patients with asthma: A meta-analysis. Int J Clin Exp Med. 8:14935–14943. 2015.PubMed/NCBI | |
Schmitz J, Owyang A, Oldham E, Song Y, Murphy E, McClanahan TK, Zurawski G, Moshrefi M, Qin J, Li X, et al: IL-33, an interleukin-1-like cytokine that signals via the IL-1 receptor-related protein ST2 and induces T helper type 2-associated cytokines. Immunity. 23:479–490. 2005.PubMed/NCBI View Article : Google Scholar | |
Oshikawa K, Yanagisawa K, Tominaga S and Sugiyama Y: Expression and function of the ST2 gene in a murine model of allergic airway inflammation. Clin Exp Allergy. 32:1520–1526. 2002.PubMed/NCBI View Article : Google Scholar | |
Lohning M, Stroehmann A, Coyle AJ, Grogan JL, Lin S, Gutierrez-Ramos JC, Levinson D, Radbruch A and Kamradt T: T1/ST2 is preferentially expressed on murine Th2 cells, independent of interleukin 4, interleukin 5, and interleukin 10, and important for Th2 effector function. Proc Natl Acad Sci USA. 95:6930–6935. 1998.PubMed/NCBI View Article : Google Scholar | |
Coyle AJ, Lloyd C, Tian J, Nguyen T, Erikkson C, Wang L, Ottoson P, Persson P, Delaney T, Lehar S, et al: Crucial role of the interleukin 1 receptor family member T1/ST2 in T helper cell type 2-mediated lung mucosal immune responses. J Exp Med. 190:895–902. 1999.PubMed/NCBI View Article : Google Scholar | |
Xu D, Chan WL, Leung BP, Huang FP, Wheeler R, Piedrafita D, Robinson JH and Liew FY: Selective expression of a stable cell surface molecule on type 2 but not type 1 helper T cells. J Exp Med. 187:787–794. 1998.PubMed/NCBI View Article : Google Scholar | |
Lecart S, Lecointe N, Subramaniam A, Alkan S, Ni D, Chen R, Boulay V, Pène J, Kuroiwa K, Tominaga S and Yssel H: Activated, but not resting human Th2 cells, in contrast to Th1 and T regulatory cells, produce soluble ST2 and express low levels of ST2L at the cell surface. Eur J Immunol. 32:2979–2987. 2002.PubMed/NCBI View Article : Google Scholar | |
Trajkovic V, Sweet MJ and Xu D: T1/ST2-an IL-1 receptor-like modulator of immune responses. Cytokine Growth Factor Rev. 15:87–95. 2004.PubMed/NCBI View Article : Google Scholar | |
Ding W, Zou GL, Zhang W, Lai XN, Chen HW and Xiong LX: Interleukin-33: Its emerging role in allergic diseases. Molecules. 23(1665)2018.PubMed/NCBI View Article : Google Scholar | |
Haenuki Y, Matsushita K, Futatsugi-Yumikura S, Ishii KJ, Kawagoe T, Imoto Y, Fujieda S, Yasuda M, Hisa Y, Akira S, et al: A critical role of IL-33 in experimental allergic rhinitis. J Allergy Clin Immunol. 130:184–194 e11. 2012.PubMed/NCBI View Article : Google Scholar | |
Gluck J, Rymarczyk B and Rogala B: Serum IL-33 but not ST2 level is elevated in intermittent allergic rhinitis and is a marker of the disease severity. Inflamm Res. 61:547–550. 2012.PubMed/NCBI View Article : Google Scholar | |
Sakashita M, Yoshimoto T, Hirota T, Harada M, Okubo K, Osawa Y, Fujieda S, Nakamura Y, Yasuda K, Nakanishi K and Tamari M: Association of serum interleukin-33 level and the interleukin-33 genetic variant with Japanese cedar pollinosis. Clin Exp Allergy. 38:1875–1881. 2008.PubMed/NCBI View Article : Google Scholar | |
Du Y, Luo Y, Yang C, Liu J, Wan J and Wang K: Discussion IL-33 and its receptor ST2 associated with the pathogenesis of allergic rhinitis. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 29:811–814. 2015.PubMed/NCBI(In Chinese). | |
Guo-Zhu H, Xi-Ling Z, Zhu W, Li-Hua W, Dan H, Xiao-Mu W, Wen-Yun Z and Wei-Xu H: Therapeutic potential of combined anti-IL-1β IgY and anti-TNF-α IgY in guinea pigs with allergic rhinitis induced by ovalbumin. Int Immunopharmacol. 25:155–161. 2015.PubMed/NCBI View Article : Google Scholar | |
Asaka D, Yoshikawa M, Nakayama T, Yoshimura T, Moriyama H and Otori N: Elevated levels of interleukin-33 in the nasal secretions of patients with allergic rhinitis. Int Arch Allergy Immunol. 158 (Suppl 1):S47–S50. 2012.PubMed/NCBI View Article : Google Scholar | |
Kim YH, Yang TY, Park CS, Ahn SH, Son BK, Kim JH, Lim DH and Jang TY: Anti-IL-33 antibody has a therapeutic effect in a murine model of allergic rhinitis. Allergy. 67:183–190. 2012.PubMed/NCBI View Article : Google Scholar | |
Kamekura R, Kojima T, Takano K, Go M, Sawada N and Himi T: The role of IL-33 and its receptor ST2 in human nasal epithelium with allergic rhinitis. Clin Exp Allergy. 42:218–228. 2012.PubMed/NCBI View Article : Google Scholar | |
Shaw JL, Fakhri S, Citardi MJ, Porter PC, Corry DB, Kheradmand F, Liu YJ and Luong A: IL-33-responsive innate lymphoid cells are an important source of IL-13 in chronic rhinosinusitis with nasal polyps. Am J Respir Crit Care Med. 188:432–439. 2013.PubMed/NCBI View Article : Google Scholar | |
Soyka MB, Holzmann D, Basinski TM, Wawrzyniak M, Bannert C, Bürgler S, Akkoc T, Treis A, Rückert B, Akdis M, et al: The induction of IL-33 in the sinus epithelium and its influence on T-helper cell responses. PLoS One. 10(e0123163)2015.PubMed/NCBI View Article : Google Scholar | |
Baumann R, Rabaszowski M, Stenin I, Tilgner L, Gaertner-Akerboom M, Scheckenbach K, Wiltfang J, Chaker A, Schipper J and Wagenmann M: Nasal levels of soluble IL-33R ST2 and IL-16 in allergic rhinitis: Inverse correlation trends with disease severity. Clin Exp Allergy. 43:1134–1143. 2013.PubMed/NCBI View Article : Google Scholar | |
Position paper: Allergen standardization and skin tests The European academy of allergology and clinical immunology. Allergy. 48:48–82. 1993.PubMed/NCBI | |
1000 Genomes Project Consortium. Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA and Abecasis GR. A global reference for human genetic variation. Nature. 526:68–74. 2015.PubMed/NCBI View Article : Google Scholar | |
Torgerson DG, Ampleford EJ, Chiu GY, Gauderman WJ, Gignoux CR, Graves PE, Himes BE, Levin AM, Mathias RA, Hancock DB, et al: Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations. Nat Genet. 43:887–892. 2011.PubMed/NCBI View Article : Google Scholar | |
Demenais F, Margaritte-Jeannin P, Barnes KC, Cookson WOC, Altmüller J, Ang W, Barr RG, Beaty TH, Becker AB, Beilby J, et al: Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet. 50:42–53. 2018.PubMed/NCBI View Article : Google Scholar | |
Zhu Z, Lee PH, Chaffin MD, Chung W, Loh PR, Lu Q, Christiani DC and Liang L: A genome-wide cross-trait analysis from UK Biobank highlights the shared genetic architecture of asthma and allergic diseases. Nat Genet. 50:857–864. 2018.PubMed/NCBI View Article : Google Scholar | |
Bonnelykke K, Sleiman P, Nielsen K, Kreiner-Møller E, Mercader JM, Belgrave D, den Dekker HT, Husby A, Sevelsted A, Faura-Tellez G, et al: A genome-wide association study identifies CDHR3 as a susceptibility locus for early childhood asthma with severe exacerbations. Nat Genet. 46:51–55. 2014.PubMed/NCBI View Article : Google Scholar | |
Barrett JC, Fry B, Maller J and Daly MJ: Haploview: Analysis and visualization of LD and haplotype maps. Bioinformatics. 21:263–265. 2005.PubMed/NCBI View Article : Google Scholar | |
Shi YY and He L: SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Res. 15:97–98. 2005.PubMed/NCBI View Article : Google Scholar | |
Li Z, Zhang Z, He Z, Tang W, Li T, Zeng Z, He L and Shi Y: A partition-ligation-combination-subdivision EM algorithm for haplotype inference with multiallelic markers: Update of the SHEsis. (http://analysis.bio-x.cn). Cell Res. 19:519–523. 2009.PubMed/NCBI View Article : Google Scholar | |
Lemonnier N, Melen E, Jiang Y, Joly S, Ménard C, Aguilar D, Acosta-Perez E, Bergström A, Boutaoui N, Bustamante M, et al: A novel whole blood gene expression signature for asthma, dermatitis, and rhinitis multimorbidity in children and adolescents. Allergy 2020 (Epub ahead of print). | |
Rogala B and Gluck J: The role of interleukin-33 in rhinitis. Curr Allergy Asthma Rep. 13:196–202. 2013.PubMed/NCBI View Article : Google Scholar | |
Tomita K, Sakashita M, Hirota T, Tanaka S, Masuyama K, Yamada T, Fujieda S, Miyatake A, Hizawa N, Kubo M, et al: Variants in the 17q21 asthma susceptibility locus are associated with allergic rhinitis in the Japanese population. Allergy. 68:92–100. 2013.PubMed/NCBI View Article : Google Scholar | |
Li Y, Chen J, Rui X, Li N, Jiang F and Shen J: The association between sixteen genome-wide association studies-related allergic diseases loci and childhood allergic rhinitis in a Chinese Han population. Cytokine. 111:162–170. 2018.PubMed/NCBI View Article : Google Scholar | |
Yoon D, Ban HJ, Kim YJ, Kim EJ, Kim HC, Han BG, Park JW, Hong SJ, Cho SH, Park K and Lee JS: Replication of genome-wide association studies on asthma and allergic diseases in Korean adult population. BMB Rep. 45:305–310. 2012.PubMed/NCBI View Article : Google Scholar | |
Amarin JZ, Naffa RG, Suradi HH, Alsaket YM, Obeidat NM, Mahafza TM and Zihlif MA: An intronic single-nucleotide polymorphism (rs13217795) in FOXO3 is associated with asthma and allergic rhinitis: A case-case-control study. BMC Med Genet. 18(132)2017.PubMed/NCBI View Article : Google Scholar | |
Li X, Hastie AT, Hawkins GA, Moore WC, Ampleford EJ, Milosevic J, Li H, Busse WW, Erzurum SC, Kaminski N, et al: eQTL of bronchial epithelial cells and bronchial alveolar lavage deciphers GWAS-identified asthma genes. Allergy. 70:1309–1318. 2015.PubMed/NCBI View Article : Google Scholar | |
Ketelaar ME, Portelli MA, Dijk FN, Shrine N, Faiz A, Vermeulen CJ, Xu CJ, Hankinson J, Bhaker S, Henry AP, et al: Phenotypic and functional translation of IL-33 genetics in asthma. J Allergy Clin Immunol 2020 (Epub ahead of print). | |
Gorbacheva AM, Korneev KV, Kuprash DV and Mitkin NA: The risk G allele of the single-nucleotide polymorphism rs928413 creates a CREB1-Binding site that activates IL-33 promoter in lung epithelial cells. Int J Mol Sci. 19(2911)2018.PubMed/NCBI View Article : Google Scholar | |
Paller AS, Spergel JM, Mina-Osorio P and Irvine AD: The atopic march and atopic multimorbidity: Many trajectories, many pathways. J Allergy Clin Immunol. 143:46–55. 2019.PubMed/NCBI View Article : Google Scholar | |
Akdis CA, Arkwright PD, Bruggen MC, Busse W, Gadina M, Guttman-Yassky E, Kabashima K, Mitamura Y, Vian L, Wu J and Palomares O: Type 2 immunity in the skin and lungs. Allergy. 75:1582–1605. 2020.PubMed/NCBI View Article : Google Scholar | |
D'Amato G, Ortega OPM, Annesi-Maesano I and D'Amato M: Prevention of allergic asthma with allergen avoidance measures and the role of exposome. Curr Allergy Asthma Rep. 20(8)2020.PubMed/NCBI View Article : Google Scholar | |
Liccardi G, Cazzola M, Walter Canonica G, Passalacqua G and D'Amato G: New insights in allergen avoidance measures for mite and pet sensitized patients. A critical appraisal. Respir Med. 99:1363–1376. 2005.PubMed/NCBI View Article : Google Scholar | |
Halken S: Prevention of allergic disease in childhood: Clinical and epidemiological aspects of primary and secondary allergy prevention. Pediatr Allergy Immunol. 15 (Suppl 16):4–5, 9-32. 2004.PubMed/NCBI View Article : Google Scholar | |
Cook J and Saglani S: Pathogenesis and prevention strategies of severe asthma exacerbations in children. Curr Opin Pulm Med. 22:25–31. 2016.PubMed/NCBI View Article : Google Scholar | |
Chen WY, Tsai TH, Yang JL and Li LC: Therapeutic strategies for targeting IL-33/ST2 signalling for the treatment of inflammatory diseases. Cell Physiol Biochem. 49:349–358. 2018.PubMed/NCBI View Article : Google Scholar | |
Takatori H, Makita S, Ito T, Matsuki A and Nakajima H: Regulatory mechanisms of IL-33-ST2-Mediated allergic inflammation. Front Immunol. 9(2004)2018.PubMed/NCBI View Article : Google Scholar |