Literature DB >> 30380947

Clinical application of quantitative glycomics.

Wenjing Peng1, Jingfu Zhao1, Xue Dong1, Alireza Banazadeh1, Yifan Huang1, Ahmed Hussien1,2, Yehia Mechref1.   

Abstract

INTRODUCTION: Aberrant glycosylation has been associated with many diseases. Decades of research activities have reported many reliable glycan biomarkers of different diseases which enable effective disease diagnostics and prognostics. However, none of the glycan markers have been approved for clinical diagnosis. Thus, a review of these studies is needed to guide the successful clinical translation. Area covered: In this review, we describe and discuss advances in analytical methods enabling clinical glycan biomarker discovery, focusing only on studies of released glycans. This review also summarizes the different glycobiomarkers identified for cancers, Alzheimer's disease, diabetes, hepatitis B and C, and other diseases. Expert commentary: Along with the development of techniques in quantitative glycomics, more glycans or glycan patterns have been reported as better potential biomarkers of different diseases and proved to have greater diagnostic/diagnostic sensitivity and specificity than existing markers. However, to successfully apply glycan markers in clinical diagnosis, more studies and verifications on large biological cohorts need to be performed. In addition, faster and more efficient glycomic strategies need to be developed to shorten the turnaround time. Thus, glycan biomarkers have an immense chance to be used in clinical prognosis and diagnosis of many diseases in the near future.

Entities:  

Keywords:  Biomarker; cancer and other diseases; clinical application; diagnosis; glycomics; prognosis

Mesh:

Substances:

Year:  2018        PMID: 30380947      PMCID: PMC6647030          DOI: 10.1080/14789450.2018.1543594

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  16 in total

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Journal:  Psychoneuroendocrinology       Date:  2019-04-05       Impact factor: 4.905

Review 2.  Automation of Immunoglobulin Glycosylation Analysis.

Authors:  Jenifer L Hendel; Richard A Gardner; Daniel I R Spencer
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3.  Isomeric separation of permethylated glycans by extra-long reversed-phase liquid chromatography (RPLC)-MS/MS.

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4.  Sample Preparation Scale-Up for Deep N-glycomic Analysis of Human Serum by Capillary Electrophoresis and CE-ESI-MS.

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Journal:  Mol Cell Proteomics       Date:  2019-10-18       Impact factor: 5.911

5.  Defining the genetic control of human blood plasma N-glycome using genome-wide association study.

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Authors:  Milani W Patabandige; Leah D Pfeifer; Hanna T Nguyen; Heather Desaire
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7.  Characterization of glycan isomers using magnetic carbon nanoparticles as a MALDI co-matrix.

Authors:  Alireza Banazadeh; Reed Nieman; Mona Goli; Wenjing Peng; Ahmed Hussein; Ercan Bursal; Hans Lischka; Yehia Mechref
Journal:  RSC Adv       Date:  2019-06-27       Impact factor: 4.036

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Journal:  J Clin Lab Anal       Date:  2021-01-28       Impact factor: 2.352

9.  Serum N-glycan profiles differ for various breast cancer subtypes.

Authors:  Gerda C M Vreeker; Kiki M H Vangangelt; Marco R Bladergroen; Simone Nicolardi; Wilma E Mesker; Manfred Wuhrer; Yuri E M van der Burgt; Rob A E M Tollenaar
Journal:  Glycoconj J       Date:  2021-04-20       Impact factor: 2.916

10.  Chondroitin Sulfate Disaccharides, a Serum Marker for Primary Serous Epithelial Ovarian Cancer.

Authors:  Karina Biskup; Caroline Stellmach; Elena Ioana Braicu; Jalid Sehouli; Véronique Blanchard
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