Božina Tamara, Sertić Jadranka, Lovrić Jasna, Jelaković Bojan, Šimić Iveta, Reiner Željko
1 Department of Medical Chemistry, Biochemistry and Clinical Chemistry, University of Zagreb School of Medicine , Zagreb, Croatia .
Genet Test Mol Biomarkers. 2014 Jan;18(1):32-40. doi: 10.1089/gtmb.2013.0344. Epub 2013 Nov 7.
The aim of the study was to estimate the influence of interactions between peroxisome proliferator-activated receptor γ (PPARγ) and target genes lipoprotein lipase (LPL), interleukin 6 (IL6), angiotensin converting enzyme (ACE), and angiotensin II type 1 receptor (AT1R) on metabolic syndrome (MetSy) and its traits.
The study included 527 participants (263 with MetSy and 264 controls). Genotyping of PPARγ Pro12Ala, LPL PvuII (-/+), IL6 -174G>C, ACE I/D and AT1R 1166A>C was performed using polymerase chain reaction-restriction fragment length polymorphism-based methods.
Interaction between PPARγ Pro12Ala and LPL Pvu(-/+) improved prediction of MetSy over and above prediction based on a model containing no interactions (χ(2)=7.22; df=1; p=0.007). In the group of participants with PPARγ Pro12Ala or Ala12Ala genotypes, those with the LPL Pvu (-/+) or (+/+) genotype had greater odds for MetSy (odds ratio OR=5.98; 95% confidence interval CI: 1.46-24.47, p=0.013). Interaction between PPARγ Pro12Ala and IL6 -174G>C improved prediction of high fasting blood glucose (χ(2)=13.99; df=1; p<0.001). PPARγ Ala12 variant was found protective in patients with IL6 -174GG genotype (OR=0.10; 95% CI: 0.02-0.57, p=0.01), while in the case of IL6 -174C allele carriers, for PPARγ Ala12 carriers, larger odds for high glucose levels compared with Pro12 variant were observed (OR=2.39; 95% CI: 1.11-5.17, p=0.026). Interactions of PPARγ and ACE were significant for BMI. In the group with ACE DD genotype, those with PPARγ Pro12Ala or Ala12Ala genotype have greater odds for obesity (OR=9.98; 95% CI: 1.18-84.14, p=0.034).
PPARγ gene variants can, in interaction with some of its target genes, modulate physiological processes leading to the development of MetSy.
本研究旨在评估过氧化物酶体增殖物激活受体γ(PPARγ)与靶基因脂蛋白脂肪酶(LPL)、白细胞介素6(IL6)、血管紧张素转换酶(ACE)和血管紧张素II 1型受体(AT1R)之间的相互作用对代谢综合征(MetSy)及其特征的影响。
该研究纳入了527名参与者(263名患有代谢综合征,264名作为对照)。采用基于聚合酶链反应-限制性片段长度多态性的方法对PPARγ Pro12Ala、LPL PvuII(-/+)、IL6 -174G>C、ACE I/D和AT1R 1166A>C进行基因分型。
与不包含相互作用的模型相比,PPARγ Pro12Ala与LPL Pvu(-/+)之间的相互作用改善了对代谢综合征的预测(χ(2)=7.22;自由度df=1;p=0.007)。在PPARγ Pro12Ala或Ala12Ala基因型的参与者组中,LPL Pvu(-/+)或(+/+)基因型的参与者患代谢综合征的几率更高(优势比OR=5.98;95%置信区间CI:1.46-24.47,p=0.013)。PPARγ Pro12Ala与IL6 -174G>C之间的相互作用改善了对高空腹血糖的预测(χ(2)=13.99;自由度df=1;p<0.001)。发现PPARγ Ala12变体对IL6 -174GG基因型的患者具有保护作用(OR=0.10;95% CI:0.02-0.57,p=0.01),而对于IL6 -174C等位基因携带者,与Pro12变体相比,PPARγ Ala12携带者血糖水平升高的几率更大(OR=2.39;95% CI:1.11-5.17,p=0.026)。PPARγ与ACE的相互作用对体重指数有显著影响。在ACE DD基因型组中,PPARγ Pro12Ala或Ala12Ala基因型的参与者肥胖几率更高(OR=9.98;95% CI:1.18-84.14,p=0.034)。
PPARγ基因变体与其某些靶基因相互作用时,可调节导致代谢综合征发生的生理过程。