Medicine · 2017
Association between polymorphisms in interleukins and oral lichen planus: A meta-analysis.
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Shi Quan, Zhang Tong, Huo Na, Huang Yang, Xu Juan, Liu Hongchen
Аннотация
BACKGROUND: More and more studies have suggested that single-nucleotide polymorphisms (SNPs) in interleukin (IL) genes are correlated with an increased risk of developing oral lichen planus (OLP). However, these results were inconsistent. Therefore, the aim of this meta-analysis is to retrieve and comprehensively analyze all related clinical studies to investigate the association of ILs gene polymorphisms with the OLP risk.
METHODS: PubMed, Embase, and the Cochrane Library were searched for eligible studies to evaluate the association between IL polymorphisms and the OLP. The odds ratios (ORs) and 95% confidence intervals (CIs) from each study were pooled to estimate the strength of the association. Statistical analyses were performed by using STATA software.
RESULTS: In all 6 studies, including 4 SNPs (IL6-174G/C, IL10-592C/A, IL10-819C/T, and IL10-1082G/A), 362 OLP patients and 622 non-OLP control subjects from five different countries were investigated. As for the IL6-174G/C, IL10-819C/T, and IL10-1082G/A, no evidence was found to support the association between SNP and OLP susceptibility in any genetic models. However, as for IL10-592C/A, a significant relationship between them was identified in all of comparison models (C vs A: OR = 0.724, 95% CI = 0.585-0.897, P = 0.003; CC vs AA: OR = 0.447, 95% CI = 0.276-0.722, P = 0.001; AC vs AA: OR = 0.585, 95% CI = 0.387-0.883, P = 0.011; CC+AC vs AA: OR = 0.544, 95% CI = 0.365-0.809, P = 0.003; CC vs AA+AC: OR = 0.715, 95% CI = 0.515-0.994, P = 0.046).
CONCLUSION: With the presently available evidence, this meta-analysis fails to show the statistical associations between IL6-174G/C, IL10-819C/T, and IL10-1082G/A and OLP susceptibility in any genetic models. However, the A allele and AA genotype in IL10-592C/A polymorphism may increase the risk of OLP. In the future, more well-designed studies with larger sample sizes are needed.
METHODS: PubMed, Embase, and the Cochrane Library were searched for eligible studies to evaluate the association between IL polymorphisms and the OLP. The odds ratios (ORs) and 95% confidence intervals (CIs) from each study were pooled to estimate the strength of the association. Statistical analyses were performed by using STATA software.
RESULTS: In all 6 studies, including 4 SNPs (IL6-174G/C, IL10-592C/A, IL10-819C/T, and IL10-1082G/A), 362 OLP patients and 622 non-OLP control subjects from five different countries were investigated. As for the IL6-174G/C, IL10-819C/T, and IL10-1082G/A, no evidence was found to support the association between SNP and OLP susceptibility in any genetic models. However, as for IL10-592C/A, a significant relationship between them was identified in all of comparison models (C vs A: OR = 0.724, 95% CI = 0.585-0.897, P = 0.003; CC vs AA: OR = 0.447, 95% CI = 0.276-0.722, P = 0.001; AC vs AA: OR = 0.585, 95% CI = 0.387-0.883, P = 0.011; CC+AC vs AA: OR = 0.544, 95% CI = 0.365-0.809, P = 0.003; CC vs AA+AC: OR = 0.715, 95% CI = 0.515-0.994, P = 0.046).
CONCLUSION: With the presently available evidence, this meta-analysis fails to show the statistical associations between IL6-174G/C, IL10-819C/T, and IL10-1082G/A and OLP susceptibility in any genetic models. However, the A allele and AA genotype in IL10-592C/A polymorphism may increase the risk of OLP. In the future, more well-designed studies with larger sample sizes are needed.