Correlation between Blood UA,Smad1 Protein,Urine mALB Levels and the Therapeutic Effect of Dapagliflozin in Patients with Type 2 Diabetes Nephropathy
-
摘要:
目的 观察2型糖尿病肾病患者血尿酸(uric acid,UA)、Smad同源物1(recombinant mothers against decapentaplegic homolog 1,Smad1)蛋白、尿微量白蛋白(urine microalbumin,mALB)含量,并分析三者与达格列净治疗2型糖尿病肾病效果的相关性。 方法 选取2021年6月至2022年9月皖南医学院第二附属医院2型糖尿病肾病患者纳入糖尿病肾病组(n = 170),另取同期单纯2型糖尿病患者纳入单纯糖尿病组(n = 120),所有患者入院时均接受血UA、Smad1蛋白、尿mALB检测,对比糖尿病肾病组与单纯糖尿病组上述3项指标水平。所有2型糖尿病肾病患者均采用达格列净治疗,随访3个月,观察患者治疗效果。依据治疗效果分为有效组(n = 142)与无效组(n = 28),对比有效组与无效组血UA、Smad1蛋白、尿mALB含量,分析3项指标与达格列净治疗2型糖尿病肾病效果的相关性,绘制受试者工作特征曲线(ROC)分析上述3项指标对达格列净治疗2型糖尿病肾病效果的预测价值。 结果 糖尿病肾病组血UA、Smad1蛋白、尿mALB水平高于单纯糖尿病组(t = 8.843、12.097、8.858,P < 0.05);治疗3个月后,170例2型糖尿病肾病患者中有效142例(83.53%),无效28例(16.47%);无效组血UA、Smad1蛋白、尿mALB水平高于有效组(t = 3.508、4.622、3.563,P < 0.05);经点二列相关性分析结果显示,血UA、Smad1蛋白、尿mALB水平与达格列净治疗2型糖尿病肾病效果呈负相关(r = -0.261、-0.336、-0.265,P < 0.05);经Logistic回归分析,结果显示,血UA(95%CI:1.001~1.021)、Smad1蛋白(95%CI:1.167~1.610)、尿mALB(95%CI:1.011~1.048)水平升高是达格列净治疗2型糖尿病肾病无效的危险因素(OR=1.011、1.371、1.029,P < 0.05);绘制受试者工作特征曲线(receiver operator characteristic curve,ROC),结果显示,血UA(95%CI:0.622~0.793)、Smad1蛋白(95%CI:0.685~0.841)、尿mALB(95%CI:0.630~0.803)水平对达格列净治疗2型糖尿病肾病效果具有一定预测价值(AUC=0.707、0.763、0.716),联合检测(95%CI:0.734~0.881)预测价值更高(AUC=0.808)。 结论 血UA、Smad1蛋白、尿mALB水平与达格列净治疗2型糖尿病肾病效果密切相关,可用于预测其治疗效果。 -
关键词:
- 2型糖尿病肾病 /
- 血尿酸 /
- Smad同源物1蛋白 /
- 达格列净
Abstract:Objective To observe the levels of uric acid, Smad1 protein, and urine microalbumin in patients with type 2 diabetic nephropathy, and to analyze the correlation between these three factors and the effectiveness of dapagliflozin in treating type 2 diabetic nephropathy. Methods From June 2021 to September 2022, 170 patients with type 2 diabetic nephropathy in our hospital were included in the diabetic nephropathy group. Another 120 patients with only type 2 diabetes during the same period were included in the simple diabetes group. All patients underwent blood UA, Smad1 protein, and urine mALB tests upon admission, and the levels of these three indicators were compared between the diabetic nephropathy group and the simple diabetes group. All type 2 diabetic nephropathy patients were treated with dapagliflozin and followed up for three months to observe the treatment effect. Based on the treatment effect, they were divided into the effective group (n = 142) and the ineffective group (n = 28). The blood UA, Smad1 protein and urine mALB contents of the effective group and ineffective group were compared, and the correlation between the three indexes and the therapeutic effect of Dapagliflozin on type 2 diabetic nephropathy was analyzed. A receiver operating characteristic curve (ROC) was plotted to analyze the predictive value of the above three indicators for the effect of dapagliflozin treatment for type 2 diabetic nephropathy. Results Diabetic nephropathy group had higher levels of blood UA, Smad1 protein, and urine mALB compared to the simple diabetic group (t = 8.843, 12.097, 8.858, P < 0.05). After 3 months of treatment, out of 170 type 2 diabetic nephropathy patients, 142 cases were effectively treated (83.53%), while 28 cases were not (16.47%). The ineffective group had higher levels of blood UA, Smad1 protein, and urine mALB compared to the effective group (t = 3.508, 4.622, 3.563, P < 0.05). Correlation analysis showed that blood UA, Smad1 protein, and urine mALB levels were negatively correlated with the efficacy of Dapagliflozin treatment for type 2 diabetic nephropathy (r = -0.261, -0.336, -0.265, P < 0.05). Logistic regression analysis indicated that elevated levels of blood UA (95%CI: 1.001~1.021), Smad1 protein (95%CI: 1.167~1.610), and urine mALB (95%CI: 1.011~1.048) were risk factors for the ineffectiveness of Dapagliflozin treatment for type 2 diabetic nephropathy (OR=1.011, 1.371, 1.029, P < 0.05). The receiver operator characteristic curve (ROC) analysis showed that blood UA (95%CI: 0.622~0.793), Smad1 protein (95%CI: 0.685~0.841), and urine mALB (95%CI: 0.630~0.803) levels had some predictive value for the efficacy of Dapagliflozin treatment for type 2 diabetic nephropathy (AUC = 0.707, 0.763, 0.716), with higher predictive value when combined (95%CI: 0.734~0.881, AUC = 0.808). Conclusion The levels of serum UA, Smad1 protein and urine mALB are closely related to the therapeutic effect of Dapagliflozin on type 2 diabetic nephropathy, which can be used to predict its therapeutic effect. -
Key words:
- Type 2 diabetic nephropathy /
- Blood uric acid /
- Smad homologue 1 protein /
- Dapagliflozin
-
表 1 糖尿病肾病组与单纯糖尿病组一般资料比较[($\bar x \pm s $)/n(%)]
Table 1. Comparison of general data between diabetic nephropathy group and simple diabetes group [($\bar x \pm s $)/n(%)]
指标 糖尿病肾病组(n=170) 单纯糖尿病组(n=120) χ2/t P 性别 男 104(61.18) 71(59.17) 0.119 0.730 女 66(38.82) 49(40.83) 年龄(岁) 59.04±6.37 58.79±6.82 0.320 0.750 体重指数(kg/m2) 26.93±2.36 27.06±2.43 0.456 0.649 糖尿病病程(a) 10.42±3.58 10.21±3.76 0.482 0.630 吸烟史 39(22.94) 31(25.83) 0.321 0.571 饮酒史 34(20.00) 28(23.33) 0.465 0.495 高血压 122(71.76) 78(65.00) 1.504 0.220 表 2 糖尿病肾病组与单纯糖尿病组血UA、Smad1蛋白、尿mALB水平比较($\bar x \pm s $)
Table 2. Comparison of serum UA,Smad1 protein and urinary mALB levels between diabetic nephropathy group and simple diabetic group($ \bar x \pm s$)
组别 血UA(μmol/L) Smad1蛋白(ng/L) 尿mALB(mg/L) 糖尿病肾病组(n=170) 392.58±69.78 13.28±4.29 118.93±34.74 单纯糖尿病组(n=120) 323.66±58.54 8.02±2.46 86.32±24.36 t 8.843 12.097 8.858 P <0.001* <0.001* <0.001* *P < 0.05。 表 3 有效组与无效组基线资料及血UA、Smad1蛋白、尿mALB水平比较[($\bar x \pm s $)/n(%)]
Table 3. Comparison of baseline data,blood UA,Smad1 protein and urinary mALB levels between the effective and ineffective groups [($\bar x \pm s $)/n(%)]
指标 有效组(n=142) 无效组(n=28) χ2/t P 性别 男 85(59.86) 19(67.86) 0.630 0.427 女 57(40.14) 9(32.14) 年龄(岁) 58.93±6.51 59.68±3.29 0.594 0.553 体重指数(kg/m2) 26.89±2.32 27.16±2.03 0.574 0.567 糖尿病病程(a) 10.21±3.46 10.95±3.12 1.050 0.295 平均动脉压(mmHg) 113.08±11.86 109.72±9.53 1.411 0.160 空腹血糖(mmol/L) 7.25±0.92 7.34±1.07 0.460 0.646 eGFR 55.39±7.23 53.76±6.67 1.104 0.271 2型糖尿病肾病分期 Ⅰ-Ⅱ期 97(68.31) 17(60.71) 0.611 0.435 Ⅲ-Ⅳ期 45(31.69) 11(39.29) 血UA(μmol/L) 385.52±62.43 428.37±36.92 3.508 0.001* Smad1蛋白(ng/L) 12.74±3.61 16.02±2.29 4.622 <0.001* 尿mALB(mg/L) 115.48±29.57 136.41±21.35 3.563 0.001* *P < 0.05。 表 4 血UA、Smad1蛋白、尿mALB水平与达格列净治疗2型糖尿病肾病效果的相关性
Table 4. Correlation between serum UA,Smad1 protein and urinary mALB levels and the effect of dagaglipzin on type 2 diabetic nephropathy
指标 r P 血UA −0.261 0.001* Smad1蛋白 −0.336 <0.001* 尿mALB −0.265 <0.001* *P < 0.05。 表 5 血UA、Smad1蛋白、尿mALB水平对达格列净治疗2型糖尿病肾病效果的影响
Table 5. Effects of serum UA,Smad1 protein and urinary mALB levels on the efficacy of daglipzin in the treatment of type 2 diabetic nephropathy
自变量 β 标准误 Waldχ2 P OR 95%CI 血UA 0.011 0.005 5.101 0.024* 1.011 1.001~1.021 Smad1蛋白 0.315 0.082 14.733 <0.001* 1.371 1.167~1.610 尿mALB 0.029 0.009 10.003 0.002* 1.029 1.011~1.048 *P < 0.05。 表 6 血UA、Smad1蛋白、尿mALB水平对达格列净治疗2型糖尿病肾病效果的预测价值
Table 6. The predictive value of serum UA,Smad1 protein and urinary mALB levels in the treatment of type 2 diabetic nephropathy with daglipzin
检验变量 AUC 标准误 P 95%CI cut-off 敏感度 特异度 约登指数 血UA 0.707 0.043 0.001* 0.622~0.793 404.040 0.786 0.542 0.328 Smad1蛋白 0.763 0.040 <0.001* 0.685~0.841 14.025 0.821 0.592 0.413 尿mALB 0.716 0.044 <0.001* 0.630~0.803 121.695 0.786 0.563 0.349 联合 0.808 0.038 <0.001* 0.734~0.881 - 0.893 0.542 0.435 *P < 0.05。 -
[1] Crompton M,Ferguson J K,Ramnath R D,et al. PP18: Early mineralocorticoid receptor antagonism in diabetic nephropathy limits albuminuria by preserving the glomerular endothelial glycocalyx[J]. JCI Insight,2022,8(5):e154164. [2] Elkazzaz S K,Elkazzaz S K,El Fayoumi H M,et al. Role of sodium glucose cotransporter type 2 inhibitors dapagliflozin on diabetic nephropathy in rats:Inflammation,angiogenesis and apoptosis[J]. Life Sci,2021,49(280):119018. [3] Sarafidis P,Ortiz A,Ferro C J,et al. Sodium-glucose co-transporter-2 inhibitors for patients with diabetic and nondiabetic chronic kidney disease: A new era has already begun[J]. J Hypertens,2021,39(6):1090-1097. doi: 10.1097/HJH.0000000000002776 [4] Zhang D,Ye S,Pan T. The role of serum and urinary biomarkers in the diagnosis of early diabetic nephropathy in patients with type 2 diabetes[J]. Peer J,2019,7(11):e7079. [5] Weisman A,Tomlinson G A,Lipscombe L L,et al. Allopurinol and renal outcomes in adults with and without type 2 diabetes: A retrospective,population-based cohort study and propensity score analysis[J]. Can J Diabetes,2021,45(7):641-649.e4. doi: 10.1016/j.jcjd.2021.01.005 [6] Zou J,Zhou X,Ma Y,et al. Losartan ameliorates renal interstitial fibrosis through metabolic pathway and Smurfs-TGF-β/Smad[J]. Biomed Pharmacother,2022,41(149):112931. [7] Tayel S I,Saleh A A,El-Hefnawy S M,et al. Simultaneous assessment of microRNA 126 and 192 in diabetic nephropathy patients and their relation with urinary albumin[J]. Curr Mol Med,2019,19(5):361-371. [8] 中华医学会内分泌学分会. 中国成人糖尿病肾脏病临床诊断的专家共识[J]. 中华内分泌代谢杂志,2015,31(5):379-385. doi: 10.3760/cma.j.issn.1000-6699.2015.05.001 [9] 中华医学会,中华医学会杂志社,中华医学会全科医学分会,等. 2型糖尿病基层诊疗指南(实践版·2019)[J]. 中华全科医师杂志,2019,18(9):810-818. doi: 10.3760/cma.j.issn.1671-7368.2019.09.003 [10] 北京大学医学系糖尿病肾脏病专家共识协作组. 糖尿病肾脏病诊治专家共识[J]. 中华医学杂志,2020,100(4):247-260. doi: 10.3760/cma.j.issn.0376-2491.2020.04.003 [11] Surendran S,Paul D,Pokharkar S,et al. A LC-MS/MS method for simultaneous estimation of a novel anti-diabetic combination of saxagliptin and dapagliflozin using a polarity switch approach: Application to in vivo rat pharmacokinetic study[J]. Anal Methods-UK,2019,11(2):219-226. doi: 10.1039/C8AY02087F [12] Kuzmin O B,Belyanin V V,Buchneva N V,et al. Sodium and glucose cotransporter type 2 inhibitors: A new class of drugs for the treatment of diabetic and non-diabetic nephropathy[J]. Nephrology,2021,25(4):33-41. [13] Su H,Liu T,Li Y,et al. Serum uric acid and its change with the risk of type 2 diabetes: A prospective study in China[J]. Prim Care Diabetes,2021,15(6):1002-1006. doi: 10.1016/j.pcd.2021.06.010 [14] Dissanayake L V,Spires D R,Levchenko V,et al. The role of xanthine dehydrogenase (xdh) and uric acid in the kidney development and renal injury[J]. FASEB J,2020,34(1):1. doi: 10.1096/fj.201902914 [15] Chen Y,Chen L,Yang T. Silymarin nanoliposomes attenuate renal injury on diabetic nephropathy rats via co-suppressing TGF-β/Smad and JAK2/STAT3/SOCS1 pathway[J]. Life Sci,2021,49(271):119197. [16] Chen X,Sun L,Li D,et al. Green tea peptides ameliorate diabetic nephropathy by inhibiting the TGF-β/Smad signaling pathway in mice[J]. Food Funct,2022,13(6):3258-3270. doi: 10.1039/D1FO03615G [17] Viazzi F,Russo G T,Ceriello A,et al. Natural history and risk factors for diabetic kidney disease in patients with T2D: Lessons from the AMD-annals[J]. Nephrol,2019,32(4):517-525. doi: 10.1007/s40620-018-00561-3 [18] Palmer B F. Change in albuminuria as a surrogate endpoint for cardiovascular and renal outcomes in patients with diabetes[J]. Diabetes Obes Metab,2023,25(6):1434-1443. doi: 10.1111/dom.15030 [19] 车艳苓,王海燕,李建格,等. 同型半胱氨酸与尿微量白蛋白联合检测在糖尿病肾病中的临床诊断价值[J]. 标记免疫分析与临床,2020,27(6):974-977. [20] 吴小冬,尹宝枝. 2型糖尿病肾病患者尿液中MALB、红细胞及血液中铁蛋白水平与其病程的关系[J]. 国际泌尿系统杂志,2021,41(4):677-681. doi: 10.3760/cma.j.cn431460-20200803-00028 [21] Zhang J,Zhang R,Wang Y,et al. The level of serum albumin is associated with renal prognosis in patients with diabetic nephropathy[J]. J Diabetes Res,2019,7(9):1-9. [22] Cheeveewattanagul N,Cristian F,Guajardo yévenes,et al. Aptamer-functionalised magnetic particles for highly selective detection of urinary albumin in clinical samples of diabetic nephropathy and other kidney tract disease[J]. Anal Chim Acta,2021,75(1154):338302.