Potential Value of Datura stramonium Agglutinin-recognized Glycopatterns in Urinary Protein on Differential Diagnosis of Diabetic Nephropathy and Nondiabetic Renal Disease.
Potential Value of Datura stramonium Agglutinin-recognized Glycopatterns in Urinary Protein on Differential Diagnosis of Diabetic Nephropathy and Nondiabetic Renal Disease.
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尿蛋白中曼陀罗凝集素识别糖模式对糖尿病肾病和非糖尿病肾病鉴别诊断的潜在价值
DOI：
10.4103/0366-6999.222328
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发表时间：
2018-01-20
影响因子：
6.1
通讯作者：
Chen XM
中科院分区：
文献类型：
--
作者：
Yang XL;Yu HJ;Zhu HY;Zheng Y;Han QX;Cai GY;Chen XM
背景：糖尿病肾病是糖尿病最常见、最严重的微血管并发症。到目前为止，识别糖尿病肾病和非糖尿病肾病的金标准是肾活检；然而，目前还没有可靠的诊断标记物来以非侵入性的方式识别糖尿病肾病和非糖尿病肾病。本研究旨在探讨糖尿病肾病和新城疫患者尿液中不同糖型的差异，以期鉴别诊断。方法：2015年3月至2016年3月在中国人解放军总医院接受肾活检的19例糖尿病肾病患者和18例非糖尿病肾病患者纳入本研究。用凝集素基因芯片检测37例患者尿蛋白中的糖蛋白。采用比率分析和单因素方差分析筛选突变的糖型。然后，用尿蛋白芯片对32例患者(15例糖尿病肾病和17例糖尿病肾病)的糖尿病肾病和糖尿病肾病患者的糖谱变化进行验证，并用受试者工作特征(ROC)曲线分析来确定糖尿病肾病和糖尿病视网膜病变的鉴别诊断价值。最后，用凝集素印迹法从蛋白水平评价糖基化的改变。结果：凝集素芯片结果显示，糖尿病肾病患者尿蛋白中凝集素曼陀罗凝集素识别的(-BGR；-1，4)连接的N-乙酰-D-氨基葡萄糖胺(GlcNAc)的相对丰度显著高于非糖尿病肾病患者(P<；0.001)。随后，尿蛋白芯片结果与凝集素芯片结果一致(P<；0.05)。此外，ROC曲线显示，糖耐量测定能有效地区分糖尿病肾病和新城疫患者(ROC曲线下面积=0.94P&t；0.001)。DSA凝集素印迹显示，在糖尿病肾病患者和新城疫患者的尿样中，糖蛋白的相对分子质量约为50,000。结论：凝集素DSA识别的(&BGR；-1，4)-连接的GlcNAc的相对丰度和尿糖蛋白的相对丰度在糖尿病肾病和非糖尿病肾病患者中有显著差异，提示糖蛋白可作为鉴别诊断的潜在生物标志物。
Background: 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. Methods: 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. Results: The result of lectin microarrays revealed that the relative abundance of the (&bgr;-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. Conclusions: The relative abundance of (&bgr;-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.
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影响因子：
3.7
作者：
Inoue K;Wada J;Eguchi J;Nakatsuka A;Teshigawara S;Murakami K;Ogawa D;Terami T;Katayama A;Tone A;Iseda I;Hida K;Yamada M;Ogawa T;Makino H
通讯作者：
Makino H
影响因子：
3.4
作者：
Abbott KL;Lim JM;Wells L;Benigno BB;McDonald JF;Pierce M
通讯作者：
Pierce M
DOI：
10.1016/j.bbagen.2017.06.020
发表时间：
2017-09-01
影响因子：
3
作者：
Lemmers, Roosmarijn F. H.;Vilaj, Marija;van Hoek, Mandy
通讯作者：
van Hoek, Mandy
影响因子：
4.3
作者：
Saravanan, Chandrassegar;Cao, Zhiyi;Panjwani, Noorjahan
通讯作者：
Panjwani, Noorjahan
影响因子：
4.4
作者：
Qin, Yannan;Zhong, Yaogang;Li, Zheng
通讯作者：
Li, Zheng