Serum N-glycan profiling predicts prognosis in patients undergoing hemodialysis.
Serum N-glycan profiling predicts prognosis in patients undergoing hemodialysis.
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DOI：
10.1155/2013/268407
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发表时间：
2013
影响因子：
--
通讯作者：
Ohyama C
中科院分区：
文献类型：
--
作者：
Hatakeyama S;Amano M;Tobisawa Y;Yoneyama T;Tsushima M;Hirose K;Yoneyama T;Hashimoto Y;Koie T;Saitoh H;Yamaya K;Funyu T;Nishimura S;Ohyama C
背景本研究的目的是评估血清N-聚糖谱对血液透析患者预后的有用性。方法. 2008年6月，使用糖印迹法对100例血液透析患者进行了血清N-聚糖分析，该方法可进行高通量、全面和定量的N-聚糖分析。随访5年。为了评估预后的独立预测因素，使用考克斯回归多变量分析来分析患者的背景、血液生化和N-聚糖强度。使用Kaplan-Meier方法的对数秩检验评估选定的N-聚糖和独立因素，以确定预后的预测指标。根据危险因素的数量对每个患者进行分类，以评估风险标准对预后的预测潜力。结果在血液透析患者中总共鉴定了56种N-聚糖类型。考克斯回归多因素分析显示心血管事件、体重指数、最大内膜中层厚度和峰值49的血清N-聚糖强度是总生存期的预测指标。根据独立危险因素的数量进行的风险分类显示，随着危险因素数量的增加，生存率显着降低。结论.血清N-聚糖谱可能对血液透析患者的预后有预测价值。
Background. The aim of this study is to evaluate the usefulness of serum N-glycan profiling for prognosis in hemodialysis patients. Methods. Serum N-glycan analysis was performed in 100 hemodialysis patients in June 2008 using the glycoblotting method, which allows high-throughput, comprehensive, and quantitative N-glycan analysis. All patients were longitudinally followed up for 5 years. To evaluate the independent predictors for prognosis, patients' background, blood biochemistry, and N-glycans intensity were analyzed using Cox regression multivariate analysis. Selected N-glycans and independent factors were evaluated using the log-rank test with the Kaplan-Meier method to identify the predictive indicators for prognosis. Each patient was categorized according to the number of risk factors to evaluate the predictive potential of the risk criteria for prognosis. Results. In total, 56 N-glycan types were identified in the hemodialysis patients. Cox regression multivariate analysis showed cardiovascular events, body mass index, maximum intima media thickness, and the serum N-glycan intensity of peak number 49 were predictive indicators for overall survival. Risk classification according to the number of independent risk factors revealed significantly poor survival by increasing the number of risk factors. Conclusions. Serum N-glycan profiling may have a potential to predict prognosis in patients undergoing hemodialysis.
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影响因子：
7.4
作者：
Alley, William R., Jr.;Madera, Milan;Mechref, Yehia;Novotny, Milos V.
通讯作者：
Novotny, Milos V.
影响因子：
6.4
作者：
Okuyama, N;Ide, Y;Miyoshi, E
通讯作者：
Miyoshi, E
影响因子：
2.6
作者：
Tsushima, Megumi;Terayama, Yuriko;Hada, Ryukichi
通讯作者：
Hada, Ryukichi
影响因子：
4.4
作者：
Bones, Jonathan;Byrne, Jennifer C.;Rudd, Pauline M.
通讯作者：
Rudd, Pauline M.
影响因子：
13.6
作者：
Stam, Frank;van Guldener, Coen;Stehouwer, Coen D. A.
通讯作者：
Stehouwer, Coen D. A.