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Association among interleukin‐6 gene polymorphism, diabetes and periodontitis in a Chinese population
Author(s) -
Xiao LM,
Yan YX,
Xie CJ,
Fan WH,
Xuan DY,
Wang CX,
Chen L,
Sun SY,
Xie BY,
Zhang JC
Publication year - 2009
Publication title -
oral diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.953
H-Index - 87
eISSN - 1601-0825
pISSN - 1354-523X
DOI - 10.1111/j.1601-0825.2009.01584.x
Subject(s) - genotype , periodontitis , chronic periodontitis , medicine , odds ratio , gastroenterology , allele , type 2 diabetes mellitus , diabetes mellitus , gene polymorphism , body mass index , polymorphism (computer science) , genetics , biology , endocrinology , gene
Objectives:  Diabetics significantly increase risk for periodontitis. Interleukin‐6 (IL‐6) gene polymorphism may play certain roles in the progression of periodontitis with diabetes. The purpose of this study was to assess the association among IL‐6 gene polymorphisms, type 2 diabetes mellitus (T2DM) and chronic periodontitis (CP) in a Chinese population. Material and methods:  DNA was obtained from 159 patients with CP, 88 patients with T2DM, 110 patients with CP&T2DM and 135 control subjects. The ‐174/‐572/‐597 polymorphisms of IL‐6 gene were investigated by restriction fragment length polymorphism of polymerase chain reaction products. The results were further confirmed by sequencing. Significance was set at P  < 0.008 after Bonferroni correction. Results:  Among four groups, CP&T2DM group showed the lowest IL‐6‐572 CC genotype and C‐allele frequencies (54.5% and 74.1%). In this regard, there were significant differences between CP&T2DM group and the control group [ P  = 0.006, odds ratio (OR)  =  0.475, 95% CI: 0.279–0.808 and P  = 0.002, OR = 0.502, 95% CI: 0.319–0.788 respectively]. Logistic regression with adjustment for age, gender, body mass index, smoking and stress showed no significant difference in terms of IL‐6‐572 genotypes ( P  = 0.058, OR= 0.523, 95% CI: 0.268–1.022). Conclusions:  The IL‐6‐572 genotype and allele distributions are unique to subjects with CP&T2DM in a Chinese population.

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