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作 者:杨梦宇[1] 高芸艺 李艳[1] 李亚丽 钟浩[2] 冉兴无[1]
机构地区:[1]四川大学华西医院内分泌代谢科糖尿病足诊治中心,成都610041 [2]成都达硕实验动物有限公司,成都610041
出 处:《四川大学学报(医学版)》2017年第3期418-421,426,共5页Journal of Sichuan University(Medical Sciences)
基 金:国家自然科学基金(No.81170776;No.81471043)资助
摘 要:目的探讨人特异的胰岛素放射免疫分析试剂盒(Ins-RIA)检测小型猪血清胰岛素水平的可行性。方法采集219份巴马小型猪血清标本,分别采用人Ins-RIA和猪特异的胰岛素ELISA试剂盒(Ins-ELISA)测定血清胰岛素水平。分析两种方法检测猪胰岛素水平的相关性,随机抽取80%(175份)的数据进行直线回归分析,以Ins-ELISA为因变量,Ins-RIA为自变量,建立回归方程,再用剩余20%(44份)的数据对回归方程进行回代验证。结果在巴马小型猪,猪Ins-ELISA检测值低于人Ins-RIA检测值,分别为(15.32±15.50)μIU/mL及(32.31±21.74)μIU/mL,差异有统计学意义(P<0.000 1);预测猪Ins-ELISA检测胰岛素的回归方程为InsELISA(μIU/mL)=-7.29+0.70×Ins-RIA(μIU/mL)(R^2=0.94);在回代验证中,Ins-ELISA的预测值和实际检测值之间的平均差异为17.18%,预测值与实际测量值之间的吻合程度较好(P>0.05)。结论巴马小型猪ELISA法检测的血清胰岛素水平可以用人胰岛素RIA法检测的血清胰岛素水平来进行估计。Objective To investigate the feasibility of using human-specific insulin radioimmunoassay (Ins- RIA) kit to measure the concentrations of serum insulin in minipigs. Methods The Serum samples (219) of Bama minipigs were collected. The concentrations of serum insulin in Bama minipigs were measured by Ins-RIA kit and porcine-speciflc insulin enzyme linked immunosorbent assay (Ins-ELISA) kit, respectively. The linear regression analysis was undertaken in a randomly selected 175 samples (80% of total samples) to establish predictive equations between the concentrations of serum insulin measured by Ins-ELISA and the concentrations of serum insulin measured by Ins-RIA. The equations were then cross-validated in the remaining 44 samples (20% of total samples) that had not been included in the regression analysis. Results Measured insulin concentration was lower with the Ins-ELISA than that with the Ins-RIA [(15.32±15.50) μIU/mL vs. (32.31±21.74) μIU/mL, respectively, 〈0. 000 1] ; The final predictive equation for the Ins-ELISA (μIU/mL) was equal to --7.29±0.70 X Ins-RIA(IHU/ mL) (Re= 0. 94). The differences between the predicted values and the actual measured values were 17. 18%. Conclusion Insulin values in Bama minipigs obtained from the Ins-ELISA and Ins-RIA are not equivalent and differ significantly. However, the insulin concentration by Ins-ELISA can be well estimated by Ins-RIA.
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