Relationship between serum retinol binding protein, stromal cell derived factor-1 and renal function in patients with diabetic nephropathy
10.3760/cma.j.cn115396-20210219-00055
- VernacularTitle:糖尿病肾病患者血清视黄醇结合蛋白和基质细胞衍生因子-1与肾功能的关系
- Author:
Liangyan LIN
;
Yongjun JIN
;
Xiaoyan YAO
;
Yaqin TENG
;
Tiantian ZHAO
;
Qingsong JIN
;
Dongdong ZHANG
;
Hongxia SHANG
- From:
International Journal of Surgery
2021;48(3):184-189,F4
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the relationship between serum retinol binding protein (RBP), stromal cell derived factor-1 (SDF-1) and renal function in patients with diabetic nephropathy (DKD).Methods:The patients with type 2 diabetes mellitus (T2DM) admitted to Yantai Affiliated Hospital of Binzhou Medical College from October 2017 to October 2020 were prospectively selected, 438 patients were divided into simple T2DM group ( n=276)and DKD group( n=162) according to the presence or absence of DKD, according to the ratio of urinary albinin/creatinine (UACR) were divided into normal( n=25), microalbuminuria ( n=75) and macroalbuminuria group ( n=62), according to the estimated glomerular filtration rate (eGFR) were divided into G1 stage ( n=28), G2 stage ( n=27), G3A + G3B stage ( n=35), G4 stage ( n=39)and G5 stages( n=33). The relationship between RBP, SDF-1 and renal function index UACR, serum uric acid (UA), blood urea nitrogen (BUN), β 2-microglobulin (β 2-MG) and serum creatinine (Scr) was analyzed. Measurement data of normal distribution were expressed as Mean± standard deviation ( Mean± SD). Independent sample t-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups.Chi-square test was used to compare the enumeration data between groups. Receiver operating characteristic curve (ROC) was used to analyze the discriminant value of RBP and SDF-1 for DKD. Pearson was used for correlation analysis among indicators. Multivariate linear regression analysis was used to analyze the influencing factors of RBP. Results:In the DKD group, the duration of diabetes was longer, the levels of RBP, UACR, UA, BUN, β 2-MG, Scr were high, SDF-1 and eGFR were lower, with statistically significant differences compared with the simple T2DM group( P<0.05).The areas under the curve of RBP and SDF-1 to distinguish DKD were 0.903 and 0.868, and the optimal cut-off values was 70.71 mg/L and 5.69 ng/mL. With the increase of urinary albumin and clinical stage, the levels of RBP, UACR, UA, BUN, β 2-MG, Scr increased gradually, while SDF-1 and eGFR decreased gradually, and the differences were statistically significant ( P<0.05).RBP was positively correlated with UACR, UA, BUN, β 2-MG and Scr in DKD patients ( r=0.764, 0.787, 0.693, 0.577, 0.801, P<0.000 1), and negatively correlated with EGFR ( r=-0.782, P<0.000 1). SDF-1 was negatively correlated with UACR, UA, BUN, β 2-MG and Scr ( r=-0.744, -0.794, -0.666, -0.605, -0.820, P<0.000 1), and positively correlated with EGFR ( r=0.767, P<0.000 1). The multiple linear regression equation was RBP=29.852+ 0.007UACR+ 0.101UA+ 0.497BUN+ 0.034Scr-0.083eGFR ( P<0.001). Conclusion:RBP and SDF-1 have certain discriminant value for DKD patients in T2DM population, and the degree of DKD renal function injury is positively correlated with RBP and negatively correlated with SDF-1, the increase of UACR, UA, BUN, Scr and the decrease of eGFR are risk factors for the increase of RBP.
