摘要
目的探讨新诊断2型糖尿病(T2DM)患者尿Smad3蛋白水平及其影响因素。方法选取新诊断T2DM患者68例,采用酶联免疫吸附法(ELISA)检测新诊断T2DM患者尿中Smad3蛋白水平,并测定患者的空腹血糖和血脂。按尿微量白蛋白分为正常白蛋白尿组(37例)和微量蛋白尿组(31例),比较两组患者中尿Smad3蛋白水平,采用相关和线性回归分析法分析新诊断T2DM患者尿Smad3蛋白的影响因素。结果与正常蛋白尿组比较,微量白蛋白尿组患者的空腹血糖、糖化血红蛋白(HbA1C)、总胆固醇、低密度脂蛋白胆固醇、血尿酸及尿Smad3蛋白水平均较高,差异均有统计学意义(P<0.05);新诊断T2DM患者尿Smad3蛋白与HbA1C、总胆固醇、血尿酸和尿微量白蛋白呈正相关;线性回归分析显示,HbA1C和尿微量白蛋白是新诊断T2DM患者尿Smad3蛋白的独立影响因素(β值分别为0.106、0.003,P<0.01,P<0.05)。结论尿Smad3蛋白水平可以作为新诊断T2DM患者肾脏损伤的一个评估指标。
Objective: To explore urinary Smad3 protein level and its related factors in newly diagnosed patients with type 2 diabetes mellitus(T2DM). Methods The urinary Smad3 protein level was measured by enzyme linked immunosorbent assay(ELISA) in68 newly diagnosed patients with T2 DM,also the levels of fasting plasma glucose and blood lipid were detected. According to microalbuminuria,68 subjects were divided into normal albumuria group(37 cases) and microalbuminuria group(31 cases).The urinary Smad3 protein levels between two groups were compared. The Pearson and linear regression analysis was used to analyze the influencing factors for urinary Smad3 protein levels in patients with T2 DM. Results As compared with normal albumuria group,the levels of fasting blood glucose,glycated hemoglobin(HbA1C),total cholesterol,low density lipoprotein cholesterol,serum uric acid and urinary Smad3 protein in microalbuminuria group enhanced significantly(P〈0.05). The urinary Smad3 protein levels were correlated positively with the levels of HbA1 C,total cholesterol,serum uric acid and urinary microalbumin in newly diagnosed patients with T2 DM. The linear regression analysis showed HbA1 Cand urinary microalbumin were independent influencing factors for the urinary Smad3 protein levels in newly diagnosed patients with T2DM(β value was0.106 and 0.003,respectively,P〈0.01 or P〈0.05). Conclusion The urinary Smad3 protein can serve as an index to evaluate the renal damage in newly diagnosed patients with T2 DM.
出处
《中国慢性病预防与控制》
CAS
2014年第4期398-400,共3页
Chinese Journal of Prevention and Control of Chronic Diseases
基金
湖南省科学技术厅2012年科技计划项目(2012SK3147)