title: Relationship of serum interleukin-10 and its genetic variations with ischemic stroke in a Chinese general population.
abstract: OBJECTIVE
  Anti-inflammatory cytokine and its genetic variations may play an important role in the process of atherosclerosis. We assessed whether serum interleukin-10 (IL-10) and its genetic variations are associated with ischemic stroke in a Chinese general population.
  
  
  METHODS
  An epidemiological survey on cardiovascular diseases and their risk factors was carried in a general population in Beijing in 2005. Serum IL-10, IL-6, p-selectin, soluble intercellular adhesion molecule-1 and C-reactive protein were analyzed using ELISA kits, while three IL-10 Single Nucleotide Polymorphisms (SNP) (rs1800872, rs1554286 and rs3021094) were genotyped in 1475 participants.
  
  
  RESULTS
  A high serum IL-10 (top tertile) was significantly associated with ischemic stroke (multivariable adjusted odds ratio (OR) =0.50; 95%CI 0.31-0.81). Rs1800872 (AA vs. AC+CC genotype, OR=1.60; 1.06-2.39), rs1554286(TT vs. CT+CC genotype, OR=1.59; 1.06-2.39), and rs3021094 (CC/CA vs. AA genotype, OR=1.64; 1.04-2.60) were all significantly associated with ischemic stroke even after controlling for age, sex, smoking, systolic blood pressure, total cholesterol, glucose, body mass index and serum IL-10. The SNP score (a summary index of these SNPs) and IL-10 (top tertile) together significantly improved the discriminative power in predicting ischemic stroke by 3.3% (95%CI: 0.2-6.4, p=0.0398) compared to predictions based on conventional risk factors alone.
  
  
  CONCLUSIONS
  The lower serum IL-10 concentration and its selected genetic variations were significantly associated with an increased likelihood of ischemic stroke in this cross-sectional study. Our results suggest that more prospective studies should be conducted to provide stronger evidence justifying the use of IL-10 and its SNPs as new biomarkers to identify a predisposition towards ischemic stroke.
authors.affiliation: Peking University Clinical Research Institute, Beijing, People's Republic of China.
authors.forename: Gaoqiang
authors.initials: G
authors.lastname: Xie
authors.forename: Phyo Kyaw
authors.initials: PK
authors.lastname: Myint
authors.forename: M Justin S
authors.initials: MJ
authors.lastname: Zaman
authors.forename: Ying
authors.initials: Y
authors.lastname: Li
authors.forename: Liancheng
authors.initials: L
authors.lastname: Zhao
authors.forename: Ping
authors.initials: P
authors.lastname: Shi
authors.forename: Fuxiu
authors.initials: F
authors.lastname: Ren
authors.forename: Yangfeng
authors.initials: Y
authors.lastname: Wu
mesh_terms: D000368:Aged; D000483:Alleles; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006239:Haplotypes; D006801:Humans; D016753:Interleukin-10 / Q000097:blood* / Q000235:genetics*; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D020641:Polymorphism, Single Nucleotide; D011159:Population Surveillance; D012372:ROC Curve; D012307:Risk Factors; D020521:Stroke / Q000097:blood* / Q000453:epidemiology / Q000235:genetics*
chemical_list: D016753:Interleukin-10
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