目的探讨中国汉族男性人群巨噬细胞移动抑制因子(MIF)启动子区-173G/C(rs755622)基因多态性的分布与原发性痛风遗传易感性之间的关系。方法选取380例痛风患者和378名健康对照者,采用聚合酶链反应.序列特异性引物(PCR-SSP)技术,检测中国汉族男性人群中MIF启动子区-173G/C基因等位基因及基因型频率的遗传分布,HaMy-Weinberg检验确认标本的群体代表性后,采用χ2检验进行关联分析,采用t检验对MIF基因-173G/C位点基因多态性与痛风危险因素进行比较。结果痛风组MIF启动子区-173位点GG、GC、CC基因型的频率为62.1%(236个)、34.2%(130个)、3.7%(14个);健康对照组MIF启动子区-173位点GG、GC、CC基因型频率为66.5%(252个)、29.8%(113个)、3.7%(14个),2组之间比较差异无统计学意义(χ2=1.713,P=0.425)。痛风组等位基因G、C的频率分别为79.2%(602个)和20.8%(158个),健康对照组为81.4%(617个)和18.6%(141个),2组之间等位基因G、C频率的比较差异也无统计学意义(χ2=1.148,P=0.302)。将痛风组基因型分析为GG基因型与Gc基因型合并为GG±GC组,结果显示:GG±GC组与CC组之间年龄[(51±13)和(50±15)岁,t=0.369,P=0.712]、血糖[(7.1±8.8)和(6.1±1.2)mmol/L,t=0.352,P=0.725]、甘油三酯[(2.3±1.6)和(2.9±3.4)mmol/L,t=-1.207,P=0.228]、胆固醇[(5.3±1.2)和(5.7±1.4)mmol/L,t=-1.207,P=0.228]、尿素氮[(5.8±2.9)和(6.2±2.2)mmol/L,t=0.513,P=0.608]、肌酐[(92±52)和(84±17)μmol/L,t=0.537,P=0.592]、尿酸[(472±103)和(557±154)μmol/IJ,t=-2.949,P=0.03]比较差异均无统计学意义(均P〉0.05)、经t检验,MIF基因-173G/C基因多态性位点与痛风病危险因素之间无相关性(乃0.05o结论
Objective To explore gene polymorphism of the G/C genotype of -173G/C (rs755622) in the promoter of macrophage migration inhibitory factor (MIF) gene in male population, and thus to investigate the relationship between gene polymorphism of MIF and gout. Methods A total of 380 gout patients and 378 healthy controls were enrolled. The possible assoeiad0n between the polymorphism of MIF -173G/C and gout in Chinese were investigated and genotype frequencies itnd allelic frequencies were analyzed by polymerase chain reaction with sequence-specific primers (PCR-SSP) method. Hardy-Weinberg was used to verify the representativeness of the samples. Comparisons between the groups were performed with X2 test. The gene polymorphism of MIF and gout was performed by t test. Results The frequencies of GG, GC, CC genotypes were 62.1%(236 eases), 34.2%(130 eases) and 3,7%(14 cases), respectively among gout patients, while they were 66.5%(252 cases), 29.8%( 113 cases) and 3.7%( 14 cases), respectively among the controls. There was no statistical difference in MIF -173G/C genotype frequencies between gout patients and controls (χ2= 1.713, P=0.425). The allele frequencies of G and C in gout cases were 79.2%(602 eases) and 20.8%(158 cases), while the controls were 81.4% (617 cases) and 18.6% (141 cases), and no significant difference between them could be found (χ2=-1.148, P=0.302). Combine GG and GC of gout into GG+GC, the association analysis of the two groups showed that, mean age, leves of glucose, TG, TC, BUN, Cr and UA of the GG+GC group and the CC group were (51±13) and (50±15)t=0.369, P=0.712; (7.1±8.8) and (6.1±1.2) mmol/L, t=0.352, P=0.725; (2.3±1.6) and (2.9±3.4) mmol/L,t=-1.207, P=0.228; (5.3±1.2) and (5.7±1.4) mmol/L, t=-1.207, P=0.228; (5.8+2.9) and (6.2±2.2) mmol/L, t=-0.513, P=-0.608; (92±52) and (84±17)μmol/L, t=0.537, P=0.592; (472±103) vs (557±154) μmol/L, t=-2.949, P=0.03 respe