Delineating Diseases by IMS-MS Profiling of Serum N-linked Glycans

• Published in: Journal of proteome research Vol. 11; no. 2; pp. 576 - 585
• Main Authors: Isailovic, Dragan, Plasencia, Manolo D, Gaye, Maissa M, Stokes, Sarah T, Kurulugama, Ruwan. T, Pungpapong, Vitara, Zhang, Min, Kyselova, Zuzana, Goldman, Radoslav, Mechref, Yehia, Novotny, Milos V, Clemmer, David E
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 03.02.2012
• Subjects: Adolescent; Adult; blood serum; Computational Biology - methods; glycomics; Glycoproteins - blood; Glycoproteins - chemistry; Humans; ions; isomers; liver; Liver Cirrhosis - blood; liver neoplasms; Liver Neoplasms - blood; mass spectrometry; polysaccharides; Polysaccharides - blood; Polysaccharides - chemistry; Polysaccharides - classification; Principal Component Analysis; proteome; Spectrometry, Mass, Electrospray Ionization - methods; Statistics, Nonparametric; Tandem Mass Spectrometry; ESI mass spectrometry; ion mobility; cancer; glycans; principal component analysis
• ISSN: 1535-3893; 1535-3907; 1535-3907
• DOI: 10.1021/pr200777u

Altered branching and aberrant expression of N-linked glycans is known to be associated with disease states such as cancer. However, the complexity of determining such variations hinders the development of specific glycomic approaches for assessing disease states. Here, we examine a combination of ion mobility spectrometry (IMS) and mass spectrometry (MS) measurements, with principal component analysis (PCA) for characterizing serum N-linked glycans from 81 individuals: 28 with cirrhosis of the liver, 25 with liver cancer, and 28 apparently healthy. Supervised PCA of combined ion-mobility profiles for several, to as many as 10 different mass-to-charge ratios for glycan ions, improves the delineation of diseased states. This extends an earlier study [J. Proteome Res. 2008, 7, 1109–1117] of isomers associated with a single glycan (S1H5N4) in which PCA analysis of the IMS profiles appeared to differentiate the liver cancer group from the other samples. Although performed on a limited number of test subjects, the combination of IMS-MS for different combinations of ions and multivariate PCA analysis shows promise for characterizing disease states.