Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Diseases (2011DAV00088), National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases, Beijing 100853, China.
Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Chin Med J (Engl). 2018 Jan 20;131(2):180-187. doi: 10.4103/0366-6999.222328.
Diabetic nephropathy (DN) is the most common and serious microvascular complication of diabetes. To date, the gold standard for identifying DN and nondiabetic renal disease (NDRD) is a renal biopsy; however, there is currently no reliable diagnostic marker to identify DN and NDRD in a noninvasive manner. This study aimed to investigate the different glycopatterns in urine specimens of DN patients and NDRD patients for a differential diagnosis.
In total, 19 DN patients and 18 NDRD patients who underwent renal biopsies between March 2015 and March 2016 at the Chinese People's Liberation Army General Hospital were enrolled in this study. A lectin microarray was used to investigate the glycopatterns in the urinary protein of the 37 patients. Ratio analysis and one-way analysis of variance were used to screen altered glycopatterns. Then, the altered glycopatterns between the DN and NDRD groups were verified by a urinary protein microarray among another 32 patients (15 with DN and 17 with NDRD), and receiver operating characteristic (ROC) curve analysis was used to determine the diagnostic value of the altered glycopatterns in differentiating DN and NDRD. Finally, lectin blotting was used to evaluate the altered glycosylation in protein level.
The result of lectin microarrays revealed that the relative abundance of the (β-1,4)-linked N-acetyl-D-glucosamine (GlcNAc) recognized by lectin Datura stramonium agglutinin (DSA) was significantly higher in urinary protein in DN patients than that in NDRD patients (fold change >1.50, P < 0.001). Subsequently, the results of urinary protein microarrays were consistent with lectin microarrays (P < 0.05). Furthermore, the ROC curve showed that glycopatterns could effectively distinguish DN from NDRD patients (area under the ROC curve = 0.94, P < 0.001). DSA lectin blotting showed that glycoproteins, with a molecular weight of approximately 50,000, demonstrated a difference in urine samples between DN patients and NDRD patients.
The relative abundance of (β-1,4)-linked GlcNAc recognized by lectin DSA and urinary glycoprotein with a molecular weight of approximately 50,000 are significantly different between DN and NDRD patients, indicating that the glycopatterns could be used as potential biomarkers for a differential diagnosis.
糖尿病肾病(DN)是糖尿病最常见和最严重的微血管并发症。迄今为止,鉴定 DN 和非糖尿病性肾脏疾病(NDRD)的金标准是肾活检;然而,目前还没有可靠的诊断标志物能够无创地识别 DN 和 NDRD。本研究旨在探讨 DN 患者和 NDRD 患者尿液标本中不同糖型的差异,以进行鉴别诊断。
本研究共纳入 2015 年 3 月至 2016 年 3 月期间在中国人民解放军总医院接受肾活检的 19 例 DN 患者和 18 例 NDRD 患者。采用凝集素微阵列分析 37 例患者尿液蛋白中的糖型。比值分析和单因素方差分析用于筛选改变的糖型。然后,通过对另外 32 例患者(15 例 DN 和 17 例 NDRD)的尿液蛋白微阵列进一步验证 DN 和 NDRD 组之间改变的糖型,使用受试者工作特征(ROC)曲线分析确定改变的糖型在鉴别 DN 和 NDRD 中的诊断价值。最后,采用凝集素印迹法评估蛋白水平上的改变糖基化。
凝集素微阵列的结果显示,DN 患者尿液蛋白中(β-1,4)-连接的 N-乙酰-D-氨基葡萄糖(GlcNAc)被茄参凝集素(DSA)识别的相对丰度明显高于 NDRD 患者(倍数变化>1.50,P<0.001)。随后,尿液蛋白微阵列的结果与凝集素微阵列一致(P<0.05)。此外,ROC 曲线显示糖型可以有效区分 DN 和 NDRD 患者(ROC 曲线下面积=0.94,P<0.001)。DSA 凝集素印迹显示,DN 患者和 NDRD 患者尿液样本中分子量约为 50,000 的糖蛋白存在差异。
DN 和 NDRD 患者之间,DSA 凝集素识别的(β-1,4)-连接的 GlcNAc 的相对丰度和分子量约为 50,000 的尿液糖蛋白有显著差异,表明糖型可以作为鉴别诊断的潜在生物标志物。