T helper-2 cytokine/regulatory T-cell gene polymorphisms and their relation with risk of psoriasis in a South Indian Tamil cohort

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• 作者：Sundar Indhumathi^a ; Medha Rajappa^a ; ^{linkmedha@gmail.com} ; Laxmisha Chandrashekar^b ; Palghat Hariharan Ananthanarayanan^a ; Devinder Mohan Thappa^b ; Vir Singh Negi^c
• 关键词：Psoriasis ; Th-2 cytokines ; IL-4 ; T-reg cytokines ; IL-10 ; FOXP3
• 刊名：Human Immunology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：78
• 期：2
• 页码：209-215
• 全文大小：484 K
• 卷排序：78

文摘

Psoriasis is known to be associated with an up-regulation of T-helper (Th)-1 & Th-17 cytokines and a relative down-regulation of Th-2 and T-regulatory (T-reg) cytokines. Certain allelic variants of these cytokine genes may alter Th1/Th17 and Th2/T-reg balance and may be associated with the risk of psoriasis. Hence we aimed to determine the association of IL-4 (rs2243250), IL-10 (rs1800871 and rs1800896) and FOXP3 (rs3761548) gene polymorphisms with risk of psoriasis in South Indian Tamils.MethodsA total of 360 cases of psoriasis and 360 healthy controls were recruited. The polymorphism in IL-4 (rs2243250) & IL-10 (rs1800871) were typed by ARMS-PCR and IL-10 (rs1800896) & FOXP3 (rs3761548) were typed by TaqMan 5′allele discrimination assay.ResultsWe observed that IL-4 (rs2243250) had a reduced risk of psoriasis, while the IL-10 (rs1800871) conferred an increased susceptibility to psoriasis, as compared with controls. However, IL-10 (rs1800896) and FOXP3 (rs3761548) gene polymorphisms were not associated with psoriasis risk. The plasma IL-4 levels was not different between the cases and controls, however the heterozygous CT genotype demonstrated significant high IL-4 levels. Plasma IL-10 levels were significantly increased in cases compared to controls, however none of the genotypes were associated with the plasma IL-10 levels.ConclusionOur results suggest that IL-4 (rs2243250) polymorphism is protective against psoriasis, while IL-10 (rs1800871) polymorphism confers increased risk of psoriasis in South Indian Tamils. Detection of these genetic variants as predictive risk factors may lead to the selection of patient-tailored therapy to maximize the effectiveness of therapy.