Clinical value of measuring syndecan-1 and asymmetric dimethylarginine in early diagnosis and disease course monitoring of patients with type 2 diabetic kidney disease
10.3760/cma.j.cn114452-20230917-00146
- VernacularTitle:多配体蛋白聚糖1和不对称二甲基精氨酸在2型糖尿病肾病早期诊断及病程监测的临床价值
- Author:
Li LIU
1
;
Hongmei YANG
;
Qiaoling ZHANG
;
Hongxiu YANG
;
Lei LIU
;
Chao LI
;
Baojun YUAN
Author Information
1. 开滦总医院检验科，唐山 063100
- Keywords:
Diabetes mellitus, type 2;
Diabetic nephropathy;
Syndecan-1;
Asymmetric dimethylarginine
- From:
Chinese Journal of Laboratory Medicine
2024;47(7):789-797
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the clinical value of syndecan-1 (SDC1), asymmetric dimethylarginine (ADMA) assessment in the early diagnosis and course monitoring of patients with type 2 diabetic kidney disease (DKD).Methods:This is a cross-sectional study. A total of 232 patients with type 2 diabetes admitted to the Department of Endocrinology of Kailuan General Hospital from December 2020 to December 2021 were included. The general biochemical indexes, SDC1 and ADMA were detected. According to urinary albumin/creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR), patients were divided into simple diabetes group (50 cases) and DKD group (182 cases). According to the risk of progression of DKD, the DKD group was further divided into low-progression diabetic nephropathy (LDKD) subgroup (90 cases), medium-progression diabetic nephropathy(MDKD)subgroup (55 cases), and high-progression diabetic nephropathy(HDKD) subgroup (37 cases). Forty healthy people undergoing physical examination during the same period in our hospital were selected as the healthy control group. According to the quartile value of N-acetyl-β-D-glucosaminase/urinary creatinine (NAG/Ucr), the DKD group was divided into Q1- Q4 subgroups, with 45, 45, 46 and 46 cases, respectively. Spearman correlation was used to analyze the correlation between SDC1, ADMA and glomerular and renal tubule injury indexes in DKD patients. Multifactor ordered Logistic regression was used to analyze the influencing factors of the progression risk of DKD and renal tubular injury. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of SDC1 and ADMA for DKD. Results:The levels of systolic blood pressure, diastolic blood pressure, triglyceride (TG), serum creatinine (Scr), uric acid (UA), NAG/Ucr, SDC1 and ADMA in DKD group were higher than those in SDM group and healthy control group (all P<0.05). The levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (ApoB), and hemoglobin A1c (HbA 1c) in DKD group were higher than those in healthy control group, and the level of high density lipoprotein cholesterol (HDL-C) was lower than that in healthy control group (all P<0.05). The SDC1 level in HDKD subgroup was higher than that in SDM group and LDKD subgroup, and the ADMA level was higher than that in SDM group and lower than that in LDKD subgroup (all P<0.05). SDC1 level in MDKD subgroup was higher than that in SDM group and LDKD subgroup, ADMA level was higher than that in SDM group, but lower than that in LDKD subgroup (all P<0.05).The levels of SDC1 and ADMA in LDKD subgroup were higher than those in SDM group (all P<0.05). The levels of TC, AporB, HbA 1c, Scr, UACR and SDC1 in NAG/Ucr Q4 subgroup were higher than those in Q1 subgroup, the levels of Scr, UACR and SDC1 were higher than those in Q2 subgroup, and the levels of HbA 1c, Scr, UACR and SDC1 in Q3 subgroup were higher than those in Q1 subgroup (all P<0.05). Spearman correlation analysis showed that SDC1 was positively correlated with UACR, NAG/Ucr ( r=0.757, 0.566, all P<0.05),and was negatively correlated with eGFR ( r=-0.337, P<0.05). ADMA was positively correlated with UACR, NAG/Ucr ( r=0.197, 0.142, all P<0.05). Multifactor ordered Logistic regression analysis showed that SDC1, NAG/Ucr and Scr were the independent influencing factors of progression risk in DKD patients ( OR=2.043, 1.067, 1.047, 0.660, 1.394, all P<0.05), while SDC1, HbA 1c and ACR were the independent influencing factors of renal tubule injury in DKD patients ( OR=1.177, 1.193, 1.002,all P<0.05). ROC curve showed that the area under the curve (AUC) of SDC1 for DKD diagnosis was 0.979, the sensitivity was 92.31%, and the specificity was 92.22%, while the AUC of ADMA for DKD diagnosis was 0.745, the sensitivity was 81.32%, and the specificity was 60.00%. The AUC, sensitivity and specificity of the combined diagnosis of DKD were 0.981, 90.66% and 95.66%. Conclusions:SDC1 is an independent risk factor of DKD progression and tubular injury in DKD patients, which can be used to diagnose early DKD and monitor the progression of DKD. ADMA is suitable for early screening of DKD.
