Abstract
Objective: In order to explore the relevance of SOCS3 gene polymorphisms with infantile asthma and provide evidence for the ethology of infantile asthma, we conducted this case-control study. Methods: A total of 273 children were enrolled for study in this article, including 119 children with asthma and 154 healthy controls frequency-matched with the former in sex and age. The genotyping of SOCS3 rs4969170, rs4969168 polymorphisms in all subjects were performed using TaqMan probe method. Odds ratio (OR) with 95% confidence interval (CI) was used to represent the association strength between SOCS3 polymorphisms and infantile asthma and calculated by χ² test which was conducted to check the Hardy-Weinberg equilibrium (HWE) in the control group. Results: The genotypes distributions of SOCS3 polymorphisms in controls conformed to HWE. Compared with GG/GA genotype in SOCS3 rs4969170, AA genotype obviously increased the susceptibility to asthma in children (OR=2.556, 95% CI=1.377-4.744) and A allele also made the same conclusion (OR=2.287, 95% CI=1.311-3.991). Differently in rs4969168, AG and AG/GG genotypes distributions had significant differences in two groups (P=0.036, 0.043). This two polymorphisms existed the linkage disequilibrium and the haplotype analysis showed that A-G and A-A haplotypes in rs4969170-rs4969168 increased 1.855 and 0.863 times risk of asthma development in children, respectively. Conclusions: A significant relevance involved in SOCS3 gene polymorphisms and infantile asthma development based on a Chinese Han population.
Keywords: SOCS3, polymorphism, infantile asthma
Introduction
Asthma is one of the most common chronic respiratory disease attacking children [1]. It brings about not only heavy economic burden but also emotional distress on families and children. Moreover, recurrent attacks seriously influence the entire lives of children. Asthma has been demonstrated to be a multifactorial disease, resulting from the hyperactivity and obstruction in response to pollutants, allergens and irritants [2]. Less outdoor exercise and unhealthy diets may be related with the increased morbidity of asthma [3]. Some studies suggested there was tight linkage between asthma morbidity and family-related stress [4]. Also, diet lipid was presented as a risk factor for asthma [5]. The breast milk for asthmatic children contains less polyunsaturated fatty acids (PUFA) and contrastly, more linoleic acid [6]. Further studies reported that asthma onset was correlated with genetic factors [7-9]. In recent years, lots of attention has been focused on the relationship of genes and asthma aimed to identify high-risk population for this disease, which will contribute to early diagnosis and improved treatment.
Asthma results from immune imbalance regulated by IgE with Th2 in dominance. Cytokines of IL-4, IL-5 and IL-13 produced by Th2 play important roles in inflammatory activity of asthma through activating JAK-STAT signal pathway. Suppressor of cytokine signaling (SOCS) were negatively feedback regulatory proteins of I and II cytokine signal transduction pathway [10]. A experiment in vitro suggested that the SOCS3 level in Th2 was 22 times more than that of Th1, which indicates that SOCS3 may be involved in the immune disorder diseases of asthma [11]. Fortunately, Zafra et al. find that SOCS3 silencing attenuates functions of eosinophil, key inflammatory cells in asthma [12]. The above results point out the important role of SOCS3 role in asthma. Increasing studies demonstrated that SOCS3 polymorphisms with the occurrence of idiopathic scoliosis [13], chronic hepatitis C [14] and obesity [15], however, there were few studies about the SOCS3 polymorphisms with asthma susceptibility.
Our study adopted case-control design to analyze the relationship of SOCS3 polymorphisms (rs4969170, rs4969168) with risk of asthma in Chinese Han children. The study will helps to improve the diagnosis and treatments of asthmatic patients.
Materials and methods
Study groups
A total of 273 children participated in this case-control study. Among them, 119 with asthma were diagnosed by pathobiology in Xi’an Children’s Hospital as the case group. The cases contained 53 boys and 66 girls with the age range of 3-13 years old and the average age of 6.54±2.37. The other 154 healthy children were as the control group from the physical examination center of Xi’an Children’s Hospital in the same period with the cases, including 71 boys and 83 girls with the mean age of 7.12±2.03. All children had no the other immune system diseases beyond the bound of blood. Our study was supported by the Ethics Committee of Xi’an Children’s Hospital and written informed consents were obtained from all subjects before collecting blood samples.
DNA extraction
2 ml peripheral venous blood was required from all enrolled children and put in the anticoagulant tube with EDTA. The conventional chloroform-isoamyl alcohol method was used to extract blood genome DNA and finally the DNA samples were stored at -20°C refrigerator for standby application.
The genotyping of SOCS3 rs4969170, rs4969168 polymorphisms in two groups
SOCS3 rs4969170, rs4969168 polymorphisms were conducted the genotyping using the TaqMan probe method. The PCR amplification primers and TaqMan probe sequences were designed, and PCR reaction program was conducted according to the report of Persico et al. in 2008 [16]. The PCR products were sequenced by the Dye Terminator Cycle Sequencing FS Ready Reaction Kit (Perkin-Elmer Applied Biosystems) and a 373A DNA sequencer (Applied Biosystems, Branchberg, NJ).
Statistical analysis of data
All data were represented using x̅±s and %, Hardy-Weinberg equilibrium (HWE) of polymorphisms genotypes distributions in the control group were checked by the χ² test which was used to calculated the odds ratio (OR) and 95% confidence interval (CI). The later usually represented the association intensity between gene polymorphism and disease risk. The statistical analysis was conducted in SPSS 18.0 software. In the meanwhile, the linkage disequilibrium and haplotype analyses of SOCS3 rs4969170, rs4969168 polymorphisms were also performed in this article.
Results
HWE test
Through the χ² test, the genotypes distributions of SOCS3 rs4969170, rs4969168 polymorphisms were both consistent with the rule of HWE, the results showed our study population possessed the representativeness.
The comparison of genotype frequencies in SOCS3 polymorphisms between the case and control groups and the association analysis with infantile asthma
As was shown in Table 1, AA genotype frequency of rs4969170 was significantly higher in cases than controls (85.71%&70.13%) and the difference reached the significant level (P=0.002), similarly, A genotype was also significant difference in cases and controls (P=0.003). Therefore, the common genotype AA and allele A in rs4969170 obviously increased the susceptibility to asthma in children, compared with GA/GG genotype and G allele (AA vs. GA/GG: OR=2.556, 95% CI=1.377-4.744; A vs. G: OR=2.287, 95% CI=1.311-3.991).
Table 1.
Genotype/allele | Case, n (%) | Control, n (%) | OR (95% CI) | P value | |
---|---|---|---|---|---|
rs4969170 | GG/GA | 17 (14.29) | 46 (29.87) | 1.000 (Ref.) | - |
AA | 102 (85.71) | 108 (70.13) | 2.556 (1.377-4.744) | 0.002 | |
G | 19 (7.98) | 51 (16.56) | 1.000 (Ref.) | - | |
A | 219 (92.02) | 257 (83.44) | 2.287 (1.311-3.991) | 0.003 | |
rs4969168 | AA | 15 (12.61) | 34 (22.08) | 1.000 (Ref.) | - |
AG | 72 (60.50) | 79 (51.30) | 2.066 (1.040-4.104) | 0.036 | |
GG | 32 (26.89) | 41 (26.62) | 1.216 (0.547-2.702) | 0.631 | |
AG/GG | 104 (87.39) | 120 (77.92) | 1.964 (1.013-3.808) | 0.043 | |
A | 102 (42.86) | 147 (47.73) | 1.000 (Ref.) | - | |
G | 136 (57.14) | 161 (52.27) | 1.217 (0.866-1.711) | 0.257 |
Differently, heterozygous mutant genotype AG in rs4969168 had an significant higher frequency in the case than control groups (60.50%&50.30%). AG/GG genotype increased 0.964 times risk of infantile asthma development, compared with AA genotype (OR=1.964, 95% CI=1.013-3.808). The SOCS3 rs4969170, rs4969168 might be two independent risk factors in the development of infantile asthma.
The linkage disequilibrium and haplotype analyses of SOCS3 rs4969170 and rs4969168 polymorphisms
In order to further ensure the roles of these two polymorphisms in infantile asthma, the linkage disequilibrium and haplotype were analyzed. In rs4969170, rs4969168 polymorphisms, a total of three haplotypes were identified, namely G-G, A-G, A-A haplotypes. Among of them, A-G and A-A haplotypes were both associated with the increased risk of asthma development in children, compared with haplotype G-G (OR=2.855, 95% CI=1.586-5.138 and OR=1.863, 95% CI=1.038-3.341, Table 2).
Table 2.
Haplotype site1-site2 | Case, 2n=238 (%) | Control, 2n=308 (%) | χ² (P) | OR (95% CI) |
---|---|---|---|---|
G-G | 19 (7.98) | 51 (16.56) | - | 1.000 (Ref.) |
A-G | 117 (49.16) | 110 (35.71) | 12.831 (0) | 2.855 (1.586-5.138) |
A-A | 102 (42.86) | 147 (47.73) | 4.433 (0.035) | 1.863 (1.038-3.341) |
Note: site1: rs4969170; site2: rs4969168.
Discussion
Asthma is a clinical common disease with great damage for human body and social public health [17,18]. It can occur in any age, but more than half patients are children less than 12 years old, so infantile asthma is paid attention wildly by the domestic and foreign scholars, especially the roles of genetic factors due to the family heredity of asthma.
Due to CD14 participating in primary immune and inflammatory responses, Zhang et al. select -159C/T polymorphism in CD14 to explore the association with asthma in Chinese Han children, the results show that TT genotype carriers have the significantly higher serum lgE level than CC genotype and it may be a genetic risk marker for infantile asthma [19]. Wang et al. find that interleukin-2 and 4 (IL2, IL4) genes polymorphisms are both associated with infantile asthma susceptibility and may be important biomarkers to identify the susceptible population of asthma in children [20]. In addition, others interleukin genes polymorphisms are also studied whether they have the association with infantile asthma, for example, IL13, IL13 and IL4 receptors genes are proved to be involved in asthma development and the interaction also exists [21]. Foreign scholars of Sharma et al. find that the genetic variants of TBX21 gene are associated with asthma in Indian children and may be modify the susceptibility to asthma and severity [22].
In this article, we studied the association between the genetic variants of SOCS3 gene (rs4969170, rs4969168) and the susceptibility to asthma in children. The common genotype AA and allele A of SOCS3 rs4969170 polymorphism were found to increase the risk of asthma occurrence. However, the heterozygous mutant genotype AG in rs4969168 showed the significant relevance with asthma development in children, meanwhile, AG/GG genotype was also proved to be associated with the increased risk for asthma, compared with the genotype AA. The synergistic effect of rs4969170, rs4969168 polymorphisms in SOCS3 gene was reported for the first time. A-G and A-A haplotypes in rs4969170-rs4969168 were both showed to involve in the risk of asthma occurrence. From the above we can see that A allele in rs4969170 has a more influence on asthma in children than the other elements, but the conclusion needs to be further verified.
In previous studies, the role of SOCS3 gene in asthma has rarely been reported. Kubo et al. indicate that SOCS3 is remarkably expressed in Th2 cells and inhibits the differentiation process of Th1 cells simultaneously, which may play a role in atopic asthma [23]. Seki et al. report that the expression level of SOCS3 mRNA in moderate and severe asthma is obviously higher in cases than controls (qPCR), which suggests that the expression of SOCS3 is associated with the severity of asthma [24]. However, the genetic variants of SOCS3 are not referred in asthma. In our study, we selected two common polymorphisms of SOCS3 in other diseases, however, due to the complication of asthma development, these researches are not enough to ensure its ethology.
In addition, except for genetic factors, environment and biological factors also have an important influence on infantile asthma. Koinis-Mitchell et al. conduct a study and indicate that optimize sleep health may play an protective role in urban children with asthma [25]. Neck circumference is considered to be associated with asthma severity in children according to the study of Hacihamdioglu et al. [26]. As we all know, obesity increases the risk of asthma in children and Vo et al. point out that vitamin D may related to asthma in children through affecting risk of acute respiratory infection (ARI) and corticosteroid responsiveness which are as the moderators in obesity-asthma pathway [27]. What’s more, air pollution, blood lead level, stress, and nutritional status are also reported to be involved in the asthma development of children [28-30].
Therefore, more influence factors are considered to explore the pathology and ethology of asthma in children combined with genetic factors with well-design and enough large sample size in the future.
Disclosure of conflict of interest
None.
References
- 1.Bateman ED, Hurd SS, Barnes PJ, Bousquet J, Drazen JM, FitzGerald M, Gibson P, Ohta K, O’Byrne P, Pedersen SE, Pizzichini E, Sullivan SD, Wenzel SE, Zar HJ. Global strategy for asthma management and prevention: GINA executive summary. Eur Respir J. 2008;31:143–178. doi: 10.1183/09031936.00138707. [DOI] [PubMed] [Google Scholar]
- 2.Ehrlich KB, Miller GE, Chen E. Family Functioning, Eosinophil Activity, and Symptoms in Children With Asthma. J Pediatr Psychol. 2015;40:781–9. doi: 10.1093/jpepsy/jsv045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Litonjua AA. Childhood asthma may be a consequence of vitamin D deficiency. Curr Opin Allergy Clin Immunol. 2009;9:202–207. doi: 10.1097/ACI.0b013e32832b36cd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Shalowitz MU, Berry CA, Quinn KA, Wolf RL. The relationship of life stressors and maternal depression to pediatric asthma morbidity in a subspecialty practice. Ambul Pediatr. 2001;1:185–193. doi: 10.1367/1539-4409(2001)001<0185:trolsa>2.0.co;2. [DOI] [PubMed] [Google Scholar]
- 5.Wood LG, Garg ML, Gibson PG. A high-fat challenge increases airway inflammation and impairs bronchodilator recovery in asthma. J Allergy Clin Immunol. 2011;127:1133–1140. doi: 10.1016/j.jaci.2011.01.036. [DOI] [PubMed] [Google Scholar]
- 6.Soto-Ramirez N, Karmaus W, Zhang H, Liu J, Billings D, Gangur V, Amrol D, da Costa KA, Davis S, Goetzl L. Fatty acids in breast milk associated with asthma-like symptoms and atopy in infancy: a longitudinal study. J Asthma. 2012;49:926–934. doi: 10.3109/02770903.2012.719251. [DOI] [PubMed] [Google Scholar]
- 7.Chan WC, Sy HY, Kong AP, Wong CK, Tse LY, Hon KL, Chan JC, Wong GW, Leung TF. Childhood asthma is associated with polymorphic markers of PROC on 2q14 in addition to 17q21 locus. Pediatr Allergy Immunol. 2015;26:173–180. doi: 10.1111/pai.12336. [DOI] [PubMed] [Google Scholar]
- 8.Leusink M, Vijverberg SJ, Koenderman L, Raaijmakers JA, de Jongste JC, Sterk PJ, Duiverman EJ, Onland-Moret NC, Postma DS, de Boer A, de Bakker PI, Koppelman GH, Maitland-van der Zee AH. Genetic variation in uncontrolled childhood asthma despite ICS treatment. Pharmacogenomics J. 2015 doi: 10.1038/tpj.2015.36. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 9.Klaassen EM, Penders J, Jobsis Q, van de Kant KD, Thijs C, Mommers M, van Schayck CP, van Eys G, Koppelman GH, Dompeling E. An ADAM33 polymorphism associates with progression of preschool wheeze into childhood asthma: a prospective case-control study with replication in a birth cohort study. PLoS One. 2015;10:e0119349. doi: 10.1371/journal.pone.0119349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Knisz J, Rothman PB. Suppressor of cytokine signaling in allergic inflammation. J Allergy Clin Immunol. 2007;119:739–745. doi: 10.1016/j.jaci.2006.12.620. [DOI] [PubMed] [Google Scholar]
- 11.Egwuagu CE, Yu CR, Zhang M, Mahdi RM, Kim SJ, Gery I. Suppressors of cytokine signaling proteins are differentially expressed in Th1 and Th2 cells: implications for Th cell lineage commitment and maintenance. J Immunol. 2002;168:3181–3187. doi: 10.4049/jimmunol.168.7.3181. [DOI] [PubMed] [Google Scholar]
- 12.Zafra MP, Canas JA, Mazzeo C, Gamez C, Sanz V, Fernandez-Nieto M, Quirce S, Barranco P, Ruiz-Hornillos J, Sastre J, del Pozo V. SOCS3 silencing attenuates eosinophil functions in asthma patients. Int J Mol Sci. 2015;16:5434–5451. doi: 10.3390/ijms16035434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhu F, Qiao J, Qiu X, Xu L, Liu Z, Zhu Z, Qian B, Sun X, Qiu Y. Lack of association between suppressor of cytokine signaling-3 gene polymorphism and susceptibility and curve severity of adolescent idiopathic scoliosis. Eur Spine J. 2014;23:2432–2436. doi: 10.1007/s00586-014-3452-2. [DOI] [PubMed] [Google Scholar]
- 14.Zheng YY, Wang LF, Fan XH, Wu CH, Huo N, Lu HY, Xu XY, Wei L. Association of suppressor of cytokine signalling 3 polymorphisms with insulin resistance in patients with chronic hepatitis C. J Viral Hepat. 2013;20:273–280. doi: 10.1111/j.1365-2893.2012.01644.x. [DOI] [PubMed] [Google Scholar]
- 15.Tang W, Zou JJ, Chen XF, Zheng JY, Zeng HZ, Liu ZM, Shi YQ. Association of two polymorphisms within and near SOCS3 gene with obesity in three nationalities in Xinjiang province of China. Acta Pharmacol Sin. 2011;32:1381–1386. doi: 10.1038/aps.2011.84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Persico M, Capasso M, Russo R, Persico E, Croce L, Tiribelli C, Iolascon A. Elevated expression and polymorphisms of SOCS3 influence patient response to antiviral therapy in chronic hepatitis C. Gut. 2008;57:507–515. doi: 10.1136/gut.2007.129478. [DOI] [PubMed] [Google Scholar]
- 17.Puxeddu I, Pang YY, Harvey A, Haitchi HM, Nicholas B, Yoshisue H, Ribatti D, Clough G, Powell RM, Murphy G, Hanley NA, Wilson DI, Howarth PH, Holgate ST, Davies DE. The soluble form of a disintegrin and metallo protease 33 promotes angiogenesis: implications for airway remodeling in asthma. J Allergy Clin Immunol. 2008;121:1400–1406. 1406.e1401–1404. doi: 10.1016/j.jaci.2008.03.003. [DOI] [PubMed] [Google Scholar]
- 18.Hunninghake GM, Soto-Quiros ME, Lasky-Su J, Avila L, Ly NP, Liang C, Klanderman BJ, Raby BA, Gold DR, Weiss ST, Celedon JC. Dust mite exposure modifies the effect of functional IL10 polymorphisms on allergy and asthma exacerbations. J Allergy Clin Immunol. 2008;122:93–98. 98.e91–95. doi: 10.1016/j.jaci.2008.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhang YN, Li YJ, Li H, Zhou H, Shao XJ. Association of CD14 C159T polymorphism with atopic asthma susceptibility in children from Southeastern China: a case-control study. Genet Mol Res. 2015;14:4311–4317. doi: 10.4238/2015.April.30.3. [DOI] [PubMed] [Google Scholar]
- 20.Wang RS, Jin HX, Shang SQ, Liu XY, Chen SJ, Jin ZB. Associations of IL-2 and IL-4 Expression and Polymorphisms With the Risks of Mycoplasma pneumoniae Infection and Asthma in Children. Arch Bronconeumol. 2015 doi: 10.1016/j.arbres.2014.11.004. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 21.Dixit P, Awasthi S, Agarwal S. Association of interleukin genes polymorphism with asthma susceptibility in Indian children: a case-control study. Ann Hum Biol. 2014:1–8. doi: 10.3109/03014460.2014.977347. [DOI] [PubMed] [Google Scholar]
- 22.Sharma N, Jaiswal I, Mandal RK, Phadke SR, Awasthi S. Genetic variation of TBX21 gene increases risk of asthma and its severity in Indian children. J Hum Genet. 2014;59:437–443. doi: 10.1038/jhg.2014.52. [DOI] [PubMed] [Google Scholar]
- 23.Kubo M, Inoue H. Suppressor of cytokine signaling 3 (SOCS3) in Th2 cells evokes Th2 cytokines, IgE, and eosinophilia. Curr Allergy Asthma Rep. 2006;6:32–39. doi: 10.1007/s11882-006-0007-6. [DOI] [PubMed] [Google Scholar]
- 24.Seki Y, Inoue H, Nagata N, Hayashi K, Fukuyama S, Matsumoto K, Komine O, Hamano S, Himeno K, Inagaki-Ohara K, Cacalano N, O’Garra A, Oshida T, Saito H, Johnston JA, Yoshimura A, Kubo M. SOCS-3 regulates onset and maintenance of T(H)2-mediated allergic responses. Nat Med. 2003;9:1047–1054. doi: 10.1038/nm896. [DOI] [PubMed] [Google Scholar]
- 25.Koinis-Mitchell D, Kopel SJ, Boergers J, McQuaid EL, Esteban CA, Seifer R, Fritz GK, Beltran AJ, Klein RB, LeBourgeois M. Good Sleep Health in Urban Children With Asthma: A Risk and Resilience Approach. J Pediatr Psychol. 2015 doi: 10.1093/jpepsy/jsv046. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hacihamdioglu B, Arslan M, Yesilkaya E, Gok F, Yavuz ST. Wider neck circumference is related with severe asthma in children. Pediatr Allergy Immunol. 2015 doi: 10.1111/pai.12402. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 27.Vo P, Bair-Merritt M, Camargo CA. The potential role of vitamin D in the link between obesity and asthma severity/control in children. Expert Rev Respir Med. 2015;9:309–325. doi: 10.1586/17476348.2015.1042457. [DOI] [PubMed] [Google Scholar]
- 28.Mohammed AA, Mohamed FY, El-Okda el S, Ahmed AB. Blood lead levels and childhood asthma. Indian Pediatr. 2015;52:303–306. doi: 10.1007/s13312-015-0628-8. [DOI] [PubMed] [Google Scholar]
- 29.Brehm JM, Ramratnam SK, Tse SM, Croteau-Chonka DC, Pino-Yanes M, Rosas-Salazar C, Litonjua AA, Raby BA, Boutaoui N, Han YY, Chen W, Forno E, Marsland AL, Nugent NR, Eng C, Colon-Semidey A, Alvarez M, Acosta-Perez E, Spear ML, Martinez FD, Avila L, Weiss ST, Soto-Quiros M, Ober C, Nicolae DL, Barnes KC, Lemanske RF Jr, Strunk RC, Liu A, London SJ, Gilliland F, Sleiman P, March M, Hakonarson H, Duan QL, Kolls J, Fritz GK, Hu D, Fani N, Stevens JS, Almli LM, Burchard EG, Shin J, McQuaid EL, Ressler K, Canino G, Celedon JC. Stress and Bronchodilator Response in Children with Asthma. Am J Respir Crit Care Med. 2015;192:47–56. doi: 10.1164/rccm.201501-0037OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Silveira DH, Zhang L, Prietsch SO, Vecchi AA, Susin LR. Nutritional status, adiposity and asthma severity and control in children. J Paediatr Child Health. 2015 doi: 10.1111/jpc.12882. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]