دورية أكاديمية
Serum N-Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis
| العنوان: | Serum N-Glycan Profiling Predicts Prognosis in Patients Undergoing Hemodialysis |
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| المؤلفون: | Shingo Hatakeyama, Maho Amano, Yuki Tobisawa, Tohru Yoneyama, Megumi Tsushima, Kazuko Hirose, Takahiro Yoneyama, Yasuhiro Hashimoto, Takuya Koie, Hisao Saitoh, Kanemitsu Yamaya, Tomihisa Funyu, Shin-Ichiro Nishimura, Chikara Ohyama |
| المصدر: | The Scientific World Journal, Vol 2013 (2013) |
| بيانات النشر: | Wiley, 2013. |
| سنة النشر: | 2013 |
| المجموعة: | LCC:Technology LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Technology, Medicine, Science |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1537-744X |
| Relation: | https://doaj.org/toc/1537-744X |
| DOI: | 10.1155/2013/268407 |
| URL الوصول: | https://doaj.org/article/edfd40ed139f43a0ae554bcdd2f5f3dc |
| رقم الأكسشن: | edsdoj.fd40ed139f43a0ae554bcdd2f5f3dc |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1537744X |
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| DOI: | 10.1155/2013/268407 |