Literature DB >> 25732693

Quantitative analysis of N-glycans from human alfa-acid-glycoprotein using stable isotope labeling and zwitterionic hydrophilic interaction capillary liquid chromatography electrospray mass spectrometry as tool for pancreatic disease diagnosis.

Estela Giménez1, Meritxell Balmaña2, Joan Figueras3, Esther Fort4, Carme de Bolós5, Victòria Sanz-Nebot6, Rosa Peracaula2, Andreas Rizzi7.   

Abstract

In this work we demonstrate the potential of glycan reductive isotope labeling (GRIL) using [(12)C]- and [(13)C]-coded aniline and zwitterionic hydrophilic interaction capillary liquid chromatography electrospray mass spectrometry (μZIC-HILIC-ESI-MS) for relative quantitation of glycosylation variants in selected glycoproteins present in samples from cancer patients. Human α1-acid-glycoprotein (hAGP) is an acute phase serum glycoprotein whose glycosylation has been described to be altered in cancer and chronic inflammation. However, it is not clear yet whether some particular glycans in hAGP can be used as biomarker for differentiating between these two pathologies. In this work, hAGP was isolated by immunoaffinity chromatography (IAC) from serum samples of healthy individuals and from those suffering chronic pancreatitis and different stages of pancreatic cancer, respectively. After de-N-glycosylation, relative quantitation of the hAGP glycans was carried out using stable isotope labeling and μZIC-HILIC-ESI-MS analysis. First, protein denaturing conditions prior to PNGase F digestion were optimized to achieve quantitative digestion yields, and the reproducibility of the established methodology was evaluated with standard hAGP. Then, the proposed method was applied to the analysis of the clinical samples (control vs. pathological). Pancreatic cancer samples clearly showed an increase in the abundance of fucosylated glycans as the stage of the disease increases and this was unlike to samples from chronic pancreatitis. The results gained here indicate the mentioned glycan in hAGP as a candidate structure worth to be corroborated by an extended study including more clinical cases; especially those with chronic pancreatitis and initial stages of pancreatic cancer. Importantly, the results demonstrate that the presented methodology combining an enrichment of a target protein by IAC with isotope coded relative quantitation of N-glycans can be successfully used for targeted glycomics studies. The methodology is assumed being suitable as well for other such studies aimed at finding novel cancer associated glycoprotein biomarkers.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Glycan analysis; Human α(1)-acid-glycoprotein; Mass spectrometry; Pancreatic cancer; Pancreatitis; Zwitterionic hydrophilic interaction liquid chromatography

Mesh:

Substances:

Year:  2015        PMID: 25732693     DOI: 10.1016/j.aca.2015.02.008

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  6 in total

Review 1.  Recent Advances in the Mass Spectrometry Methods for Glycomics and Cancer.

Authors:  Muchena J Kailemia; Gege Xu; Maurice Wong; Qiongyu Li; Elisha Goonatilleke; Frank Leon; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2017-10-31       Impact factor: 6.986

2.  Isomeric Separation of N-Glycopeptides Derived from Glycoproteins by Porous Graphitic Carbon (PGC) LC-MS/MS.

Authors:  Rui Zhu; Yifan Huang; Jingfu Zhao; Jieqiang Zhong; Yehia Mechref
Journal:  Anal Chem       Date:  2020-07-06       Impact factor: 6.986

3.  Separation of Sialylated Glycan Isomers by Differential Mobility Spectrometry.

Authors:  Catherine S Lane; Kirsty McManus; Philip Widdowson; Sarah A Flowers; Gerard Powell; Ian Anderson; J Larry Campbell
Journal:  Anal Chem       Date:  2019-07-08       Impact factor: 6.986

4.  Serum Protein N-Glycosylation Signatures of Neuroblastoma.

Authors:  Wenjun Qin; Hao Pei; Xiaobing Li; Jia Li; Xuelian Yao; Rufang Zhang
Journal:  Front Oncol       Date:  2021-03-16       Impact factor: 6.244

Review 5.  Glycosylation-Based Serum Biomarkers for Cancer Diagnostics and Prognostics.

Authors:  Alan Kirwan; Marta Utratna; Michael E O'Dwyer; Lokesh Joshi; Michelle Kilcoyne
Journal:  Biomed Res Int       Date:  2015-10-05       Impact factor: 3.411

Review 6.  Glycoprotein biomarkers for the detection of pancreatic ductal adenocarcinoma.

Authors:  Esther Llop; Pedro E Guerrero; Adrià Duran; Sílvia Barrabés; Anna Massaguer; María José Ferri; Maite Albiol-Quer; Rafael de Llorens; Rosa Peracaula
Journal:  World J Gastroenterol       Date:  2018-06-28       Impact factor: 5.742

  6 in total

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