Fast and facile analysis of glycosylation and phosphorylation of fibrinogen from human plasma-correlation with liver cancer and liver cirrhosis.

Hepatocellular carcinoma (HCC) is one of the deadliest cancers due to its late diagnosis with the main risk factor being liver cirrhosis (LC). Glycan structures from glycoproteins are usually altered in cancer. Blood plasma from 111 healthy and sick donors was analyzed to determine the post-translational modifications (PTM) of intact Aα-, Bß-, and γ-subunits of fibrinogen, a glycoprotein predominantly produced in liver cells. Glycosylation and phosphorylation of the protein species were quantified by liquid chromatography coupled to mass spectrometry to correlate PTMs to pathological cases. Quantities of the PTMs were used for statistical classification by principal component analysis (PCA) and multivariate analysis of variance (MANOVA). As relevant clinical finding, patients with liver disease (HCC and/or LC) were distinguished from individuals without relevant chronic liver disease with 91% sensitivity and 100% specificity. Within the group of patients with liver disease, a robust separation between LC and HCC was not possible. In more detail, the phosphorylation of Aα-subunit is decreased in HCC patients, whereas the monophosphorylated state is significantly increased in LC patients. In terms of glycosylation, the amount of O-glycans in the Aα-subunit is decreased in LC patients, while sialylation and fucosylation of N-type glycans of Bß- and γ-subunits are increased in LC and HCC. Based on PTM of fibrinogen, starting from plasma we can assign the status of an individual as healthy or as liver disease in less than 3 h.

Simultaneous characterization of sequence polymorphisms, glycosylation and phosphorylation of fibrinogen in a direct analysis by LC-MS.

Fibrinogen is an abundant plasma glycoprotein involved in pathologically important processes like blood clotting, hemostasis and angiogenesis. Sequence polymorphisms and posttranslational modification (PTM) status of fibrinogen are important factors of cardiovascular disease. We aim for the simultaneous analysis of fibrinogen subunits for sequence polymorphisms (SNPs), phosphorylation and glycosylation by top-down mass spectrometry. Fibrinogen was isolated from human plasma of twelve individuals and subunits of fibrinogen were separated by RP-HPLC and subsequently analyzed by high resolution ESI mass spectrometry. Two coding single nucleotide polymorphisms on the Aα- and Bß-subunit could be identified on the basis of their mass shifts: Three individuals are heterozygous and two are homozygous for Thr312Ala on the Aα-subunit, three individuals are heterozygous for Arg448Lys on the Bß-subunit. For the Aα-subunit we find mono- and diphosphorylation amounting to about 55% to 71% and O-glycosylation (likely sialyl-T-antigen) from 10% to 17%. N-glycosylation is present with one or two sialic acids in a ratio of about 3:2 and 3:1 for the Bß and the γ-subunit, respectively. Both SNPs and the PTMs are associated with fibrinogen levels, clotting behavior and thus the risk for cardiovascular diseases. The homozygosity of the SNP at position 312 in the alpha chain for example nearly doubles the risk for ischemic stroke. Isolation and analysis of fibrinogen can be achieved in a few hours from only one drop of blood plasma, and thus the method presented here should assist in a quick assessment and prevention of stroke and infarction.

Glycan analysis: scope and limitations of different techniques--a case for integrated use of LC-MS(/MS) and NMR techniques.

The structure of glycans from glycoproteins is highly relevant for their function. We tightly integrate liquid chromatography-mass spectrometry (LC-MS), MS/MS, and nuclear magnetic resonance (NMR) data to achieve a complete characterization of even isobaric glycans differing in only one linkage position or in the substitution in one branch. As example, we analyzed ten desialylated underivatized glycans from bovine fibrinogen. The molecules were separated on a PGC column, and LC-MS data allowed an assignment of the compositions of the glycans. MS/MS data of the same glycans allowed elucidation of sequence and to some extent of branching and linkage. All MS/MS fragmentation methods led to multiple dissociations, resulting in several cases in ambiguous data. The MS/MS data were interpreted both by scientists and automatically by software, and the differential results are compared. Additional data from a tight integration of LC-MS and NMR data resulted in a complete structural characterization of the glycans. The acquisition of simple 1D (1)H NMR data led--in combination with LC-MS and MS/MS data--to an unambiguous assignment of the isobaric glycans. Compounds that were not separated in the chromatography could easily be assigned structurally by applying the 3D cross-correlation (3DCC) technology to arrive at NMR spectra of the pure components-without actually separating them. By applying LC-MS, MS/MS, 1D (1)H NMR, and 3DCC together, one can assign glycan structures from glycoconjugates with high confidence affording only 200 pmol of glycan material.

Resolving the problem of chromatographic overlap by 3D cross correlation (3DCC) processing of LC, MS and NMR data for characterization of complex glycan mixtures.

Chromatographic overlap is a common problem in the analysis of complex mixtures. As a result, it is not possible to identify the components because each resulting NMR or MS spectrum contains multiple components. We introduce three-dimensional cross correlation (3DCC) that dissects NMR spectra of a mixture into spectra of the individual components without actually separating them. Correlation of peaks from MS and NMR profiles along a common LC time domain yields 3DCC NMR spectra of pure components correlated with a mass and a retention time. The method requires an LC run followed by fractionation and recording of MS and NMR spectra. The method is applicable to mixtures of any classes of molecules. Here, we demonstrate its application to a mixture of complex glycans obtained from a glycoprotein. Fourteen glycans eluting within only 3 min showed heavy overlap in the chromatographic run. 3DCC allowed their direct characterization without separation. Some of these structures from the glycoprotein bovine fibrinogen had not previously been described. The 3DCC procedure has been implemented in standard software. Actually, 3DCC can be used for any combination of separation techniques, like LC or GC, combined with two characterization methods like UV, IR, Raman, NMR or MS.