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      Increased sialylation of site specific O-glycoforms of hemopexin in liver disease

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          Abstract

          Background

          Non-invasive monitoring of liver disease remains an important health issue. Liver secreted glycoproteins reflect pathophysiological states of the organ and represent a rational target for serologic monitoring. In this study, we describe sialylated O-glycoforms of liver-secreted hemopexin (HPX) and quantify them as a ratio of disialylated to monosialylated form (S-HPX).

          Methods

          We measured S-HPX in serum of participants of the HALT-C trial using a LC–MS/MS-MRM assay.

          Results

          Repeated measurements of S-HPX in the samples of 23 disease-free controls, collected at four different time points, show that the ratio remains stable in the healthy controls but increases with the progression of liver disease. The results of measurement of S-HPX in serum of participants of the HALT-C trial show that it increased significantly (Kruskal–Wallis test, p < 0.01) in liver disease as the stage of fibrosis progressed in liver biopsies. We observed a 1.7-fold increase in fibrosis defined as Ishak score 3–4 (24.9 + 14.2, n = 22) and 4.7-fold increase in cirrhosis defined as Ishak score 5–6 (68.6 + 38.5; n = 24) compared to disease-free controls (14.7 + 6.7, n = 23). S-HPX is correlated with AFP, bilirubin, INR, ALT, and AST while inversely correlated with platelet count and albumin. In an independent verification set of samples, S-HPX separated the Ishak 5–6 (n = 15) from the Ishak 3–4 (n = 15) participants with AuROC 0.84; at the same time, the Ishak 3–4 group was separated from disease-free controls (n = 15) with AuROC 0.82.

          Conclusion

          S-HPX, a measure of sialylated O-glycoforms of hemopexin, progressively increases in fibrotic and cirrhotic patient of HCV etiology and can be quantified by an LC–MS/MS-MRM assay in unfractionated serum of patients. Quantification of sialylated O-glycoforms of this liver secreted glycoprotein represents a novel measure of the stage of liver disease that could have a role in monitoring the progression of liver pathology.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12014-016-9125-x) contains supplementary material, which is available to authorized users.

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          Most cited references41

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          Mucin-type O-glycans in human colon and breast cancer: glycodynamics and functions.

          The glycoproteins of tumour cells are often abnormal, both in structure and in quantity. In particular, the mucin-type O-glycans have several cancer-associated structures, including the T and Tn antigens, and certain Lewis antigens. These structural changes can alter the function of the cell, and its antigenic and adhesive properties, as well as its potential to invade and metastasize. Cancer-associated mucin antigens can be exploited in diagnosis and prognosis, and in the development of cancer vaccines. The activities and Golgi localization of glycosyltransferases are the basis for the glycodynamics of cancer cells, and determine the ranges and amounts of specific O-glycans produced. This review focuses on the glycosyltransferases of colon and breast cancer cells that determine the pathways of mucin-type O-glycosylation, and the proposed functional and pathological consequences of altered O-glycans.
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            Incidence of hepatocellular carcinoma and associated risk factors in hepatitis C-related advanced liver disease.

            Although the incidence of hepatocellular carcinoma (HCC) is increasing in the United States, data from large prospective studies are limited. We evaluated the Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis (HALT-C) cohort for the incidence of HCC and associated risk factors. Hepatitis C virus-positive patients with bridging fibrosis or cirrhosis who did not respond to peginterferon and ribavirin were randomized to groups that were given maintenance peginterferon for 3.5 years or no treatment. HCC incidence was determined by Kaplan-Meier analysis, and baseline factors associated with HCC were analyzed by Cox regression. 1,005 patients (mean age, 50.2 years; 71% male; 72% white race) were studied; 59% had bridging fibrosis, and 41% had cirrhosis. During a median follow-up of 4.6 years (maximum, 6.7 years), HCC developed in 48 patients (4.8%). The cumulative 5-year HCC incidence was similar for peginterferon-treated patients and controls, 5.4% vs 5.0%, respectively (P= .78), and was higher among patients with cirrhosis than those with bridging fibrosis, 7.0% vs 4.1%, respectively (P= .08). HCC developed in 8 (17%) patients whose serial biopsy specimens showed only fibrosis. A multivariate analysis model comprising older age, black race, lower platelet count, higher alkaline phosphatase, esophageal varices, and smoking was developed to predict the risk of HCC. We found that maintenance peginterferon did not reduce the incidence of HCC in the HALT-C cohort. Baseline clinical and laboratory features predicted risk for HCC. Additional studies are required to confirm our finding of HCC in patients with chronic hepatitis C and bridging fibrosis.
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              Mining the O-glycoproteome using zinc-finger nuclease-glycoengineered SimpleCell lines.

              Zinc-finger nuclease (ZFN) gene targeting is emerging as a versatile tool for engineering of multiallelic gene deficiencies. A longstanding obstacle for detailed analysis of glycoproteomes has been the extensive heterogeneities in glycan structures and attachment sites. Here we applied ZFN targeting to truncate the O-glycan elongation pathway in human cells, generating stable 'SimpleCell' lines with homogenous O-glycosylation. Three SimpleCell lines expressing only truncated GalNAcα or NeuAcα2-6GalNAcα O-glycans were produced, allowing straightforward isolation and sequencing of GalNAc O-glycopeptides from total cell lysates using lectin chromatography and nanoflow liquid chromatography-mass spectrometry (nLC-MS/MS) with electron transfer dissociation fragmentation. We identified >100 O-glycoproteins with >350 O-glycan sites (the great majority previously unidentified), including a GalNAc O-glycan linkage to a tyrosine residue. The SimpleCell method should facilitate analyses of important functions of protein glycosylation. The strategy is also applicable to other O-glycoproteomes.
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                Author and article information

                Contributors
                ms2465@georgetown.edu
                jb2304@georgetown.edu
                jean.jing.wu@gmail.com
                yw344@georgetown.edu
                khm33@georgetown.edu
                ja1030@georgetown.edu
                Coleman.I.Smith@gunet.georgetown.edu
                pengzhao@uga.edu
                Lihua.Zhang@georgetown.edu
                202-687-9868 , rg26@georgetown.edu
                Journal
                Clin Proteomics
                Clin Proteomics
                Clinical Proteomics
                BioMed Central (London )
                1542-6416
                1559-0275
                21 September 2016
                21 September 2016
                2016
                : 13
                : 24
                Affiliations
                [1 ]Department of Oncology, Georgetown University, PS Room GD11, 3800 Reservoir Rd NW, Washington, DC 20057 USA
                [2 ]Department of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA
                [3 ]Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Building D Suite 180 Room 185, 4000 Reservoir Rd NW, Washington, DC 20057 USA
                [4 ]Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Basic Science Building D Room 255, 3900 Reservoir Rd NW, Washington, DC 20057 USA
                [5 ]MedStar Georgetown University Transplant Institute, 2-PHC, 3800 Reservoir Rd NW, Washington, DC 20057 USA
                [6 ]Complex Carbohydrate Research Center, University of Georgia, Athens, GA USA
                Article
                9125
                10.1186/s12014-016-9125-x
                5034550
                484671d1-c0b6-49f2-aa6e-e1826a7527d2
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 July 2016
                : 16 September 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: UO1 CA168926
                Award ID: RO1 CA135069
                Award Recipient :
                Funded by: CCSG
                Award ID: P30 CA51008
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Molecular medicine
                o-glycosylation,sialic acid,fibrosis,cirrhosis,mrm quantification
                Molecular medicine
                o-glycosylation, sialic acid, fibrosis, cirrhosis, mrm quantification

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