基于免疫性PTR的HPA基因交互作用研究  

Study on HPA gene interaction based on immune PTR

作　　者：梁静[1] 范娜[2] 王瑶[1] 刘雯[2] 居敏[3] 叶海燕[4] LIANG Jing;FAN Na;WANG Yao;LIU Wen;JU Min;YE Haiyan(Department of Clinical Laboratory,the Sixth Affiliated Hospital of Xinjiang Medical University,Urumqi 830002,China;Department of Blood Transfusion,the Sixth Affiliated Hospital of Xinjiang Medical University,Urumqi 830002,China;Department of Blood Transfusion,the First Affiliated Hospital of Xinjiang Medical University,Urumqi 830011,China;Department of Blood Transfusion,the First People's Hospital Kashgar,Kashgar Xinjiang 844000,China)

机构地区：[1]新疆医科大学第六附属医院检验科,乌鲁木齐830002 [2]新疆医科大学第六附属医院输血科,乌鲁木齐830002 [3]新疆医科大学第一附属医院输血科,乌鲁木齐830011 [4]新疆喀什地区第一人民医院输血科,新疆喀什844000

出　　处：《新疆医科大学学报》2022年第2期127-131,共5页Journal of Xinjiang Medical University

基　　金：国家自然科学地区基金(81760036)。

摘　　要：目的探讨血小板特异性抗原(human platelet antigens,HPA)交互作用与免疫性血小板输注无效(platelet transfusion refractoriness,PTR)发生的相关性,建立免疫性PTR的多基因预测模型预测PTR风险。方法采用序列特异性引物聚合酶链反应(PCR-SSP)对190例免疫性PTR患者进行HPA1-17等位基因分型,应用logistic回归分析比较HPA等位基因与免疫PTR发生风险之间的相关性;采用多因子降维法GMDR0.7软件建模分析不同HPA分型基因之间的交互作用。结果 (1)病例组HPA-3a等位基因频率分布与对照组间存在差异有统计学意义(P<0.05),HPA-3多态性与免疫性PTR高发具有关联性;(2)GMDR分析HPA不同分型交互作用模型,产生了1-9阶交互模型。其中第3阶(HPA-3,5,15)模型测试准确度最大(testing accuracy:0.625),交叉验证一致性最好(CVC=8/10)。第4阶(HPA-2,3,5,15)及第5阶(HPA-2,3,5,6,15)模型次之,在对照组和病例组间差异均有统计学意义(P<0.05);HPA系统基因-基因交互作用模型图显示第3、4、5阶正向得分最高均为5.2。结论第3、4、5阶模型为输注血小板患者评估免疫性PTR发生风险的最佳模型。Objective To investigate the correlation between the interaction of human platelet specific antigens(HPA)and the incidence of immune platelet transfusion refractoriness(PTR). A multigene prediction model for immune PTR was established to predict PTR risk. Methods 190 patients with immune PTR were genotyped with HPA1-17 alleles using sequence specific primers polymerase chain reaction(PCR-SSP), and the correlation between HPA alleles and the risk of immune PTR was analyzed by logistic regression analysis. Multi-factor dimensionality reduction GMDR0.7 software was used to analyze the interaction between different HPA genotypes. Results(1) There was a significant difference in the frequency distribution of HPA-3 A allele between the case group and the control group(P<0.05). HPA-3 polymorphism was associated with the high incidence of immune PTR.(2) GMDR analyzed the interaction models of different HPA typing and generated the 1-9 order interaction models. The third order model(HPA-3,5 and 15) had the largest testing accuracy(0.625) and the best cross-validation consistency(CVC=8/10). The fourth order(HPA-2,3,5,15) and the fifth order(HPA-2,3,5,6,15) models were the next, and the differences between the control group and the case group were statistically significant(P<0.05). The diagram of gene-gene interaction model in HPA system showed that the highest positive scores of grade 3, 4 and 5 were 5.2. Conclusion The third, fourth and fifth order models are the best models for assessing the risk of immune PTR in patients with PTR.

关 键 词：免疫性 血小板输注无效 血小板特异性抗原 基因 交互作用 

分 类 号：R558[医药卫生—血液循环系统疾病]