scholarly journals Construction of A Multiple Myeloma Diagnostic Model by Magnetic Bead-Based MALDI-TOF Mass Spectrometry of Serum and Pattern Recognition Software

2009 ◽  
Vol 292 (4) ◽  
pp. 604-610 ◽  
Author(s):  
Qing-Tao Wang ◽  
Yong-Zhe Li ◽  
Yu-Fang Liang ◽  
Chao-Jun Hu ◽  
Yu-Hua Zhai ◽  
...  
2017 ◽  
Vol 120 (1-2) ◽  
pp. S102-S103
Author(s):  
Kim K. Nickander ◽  
Dimitar K. Gavrilov ◽  
Dietrich Matern ◽  
Devin Oglesbee ◽  
Piero Rinaldo ◽  
...  

2007 ◽  
Vol 53 (7) ◽  
pp. 1254-1263 ◽  
Author(s):  
Richard KT Kam ◽  
Terence CW Poon ◽  
Henry LY Chan ◽  
Nathalie Wong ◽  
Alex Y Hui ◽  
...  

Abstract Background: The use of MALDI-TOF mass spectrometry (MS) in quantitative glycan profiling has not been reported. In this study, we attempted to establish a high-throughput quantitative assay for profiling serum N-glycome, and we applied the new assay to identifying serum N-glycans for diagnosis of liver fibrosis and cirrhosis. Methods: N-glycans from whole serum proteins in 2 μL serum were released by enzymatic digestion, cleaned up by hydrophilic chromatography, and subsequently quantitatively profiled with a linear MALDI-TOF MS system, which was originally designed for quantitative proteomic profiling. Serum N-glycome profiles from 46 patients with chronic hepatitis B infection and with different degrees of liver fibrosis were examined. Results: The intra- and interassay CVs of peak intensities of the standard N-glycans were <8% and <17%, respectively. When the assay was applied to the analysis of serum N-glycome profiles, 17 peaks were found to be potential biomarkers for detection of liver fibrosis/cirrhosis. Linear regression analysis revealed that 4 peaks of 1341.5, 1829.7, 1933.3, and 2130.3 m/z (all P <0.005) had complementary value in detecting liver fibrosis and included them, but not any serological markers, in the diagnostic model. Leave-one-out cross-validation showed the diagnostic model could identify significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5), both at 85% accuracy. Conclusion: This is the first study to illustrate the quantitative aspect of MALDI-TOF MS in N-glycome profiling and the first study to reveal the potential value of the serum N-glycan profile for identifying liver fibrosis.


2007 ◽  
Vol 1 (11) ◽  
pp. 1385-1392 ◽  
Author(s):  
Connie R. Jimenez ◽  
Marleen Koel-Simmelink ◽  
Thang V. Pham ◽  
Laura van der Voort ◽  
Charlotte E. Teunissen

2008 ◽  
Vol 01 (07) ◽  
pp. 368-373 ◽  
Author(s):  
Eiichi Sekiyama ◽  
Yumiko Matsuyama ◽  
Daisuke Higo ◽  
Takashi Nirasawa ◽  
Masaya Ikegawa ◽  
...  

2011 ◽  
Vol 412 (1-2) ◽  
pp. 112-119 ◽  
Author(s):  
Xi Zeng ◽  
Lian Zhao ◽  
Zheng Li ◽  
Jing Yang ◽  
Juan-Juan Xiang ◽  
...  

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