Literature DB >> 34071388

Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis.

Beatrix Paton1, Manuel Suarez2, Pol Herrero1, Núria Canela1.   

Abstract

Ageing is a complex process which implies the accumulation of molecular, cellular and organ damage, leading to an increased vulnerability to disease. In Western societies, the increase in the elderly population, which is accompanied by ageing-associated pathologies such as cardiovascular and mental diseases, is becoming an increasing economic and social burden for governments. In order to prevent, treat and determine which subjects are more likely to develop these age-related diseases, predictive biomarkers are required. In this sense, some studies suggest that glycans have a potential role as disease biomarkers, as they modify the functions of proteins and take part in intra- and intercellular biological processes. As the glycome reflects the real-time status of these interactions, its characterisation can provide potential diagnostic and prognostic biomarkers for multifactorial diseases. This review gathers the alterations in protein glycosylation profiles that are associated with ageing and age-related diseases, such as cancer, type 2 diabetes mellitus, metabolic syndrome and several chronic inflammatory diseases. Furthermore, the review includes the available techniques for the determination and characterisation of glycans, such as liquid chromatography, electrophoresis, nuclear magnetic resonance and mass spectrometry.

Entities:  

Keywords:  age-related disease; ageing; glycan analysis; glycosylation; mass spectrometry; n-glycan

Year:  2021        PMID: 34071388     DOI: 10.3390/ijms22115788

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  179 in total

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Authors:  A Dell; H R Morris
Journal:  Science       Date:  2001-03-23       Impact factor: 47.728

2.  GlycoSuiteDB: a curated relational database of glycoprotein glycan structures and their biological sources. 2003 update.

Authors:  Catherine A Cooper; Hiren J Joshi; Mathew J Harrison; Marc R Wilkins; Nicolle H Packer
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 3.  Mass spectrometry of glycans.

Authors:  Liang Han; Catherine E Costello
Journal:  Biochemistry (Mosc)       Date:  2013-07       Impact factor: 2.487

4.  Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus.

Authors:  Peter W F Wilson; Ralph B D'Agostino; Helen Parise; Lisa Sullivan; James B Meigs
Journal:  Circulation       Date:  2005-11-07       Impact factor: 29.690

Review 5.  N-glycan and Alzheimer's disease.

Authors:  Yasuhiko Kizuka; Shinobu Kitazume; Naoyuki Taniguchi
Journal:  Biochim Biophys Acta Gen Subj       Date:  2017-04-29       Impact factor: 3.770

Review 6.  Classification and basic pathology of Alzheimer disease.

Authors:  Charles Duyckaerts; Benoît Delatour; Marie-Claude Potier
Journal:  Acta Neuropathol       Date:  2009-04-21       Impact factor: 17.088

7.  Human evidence that the cystatin C gene is implicated in focal progression of coronary artery disease.

Authors:  Per Eriksson; Hiroyuki Deguchi; Ann Samnegård; Pia Lundman; Susanna Boquist; Per Tornvall; Carl-Göran Ericsson; Lott Bergstrand; Lars-Olof Hansson; Shu Ye; Anders Hamsten
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-01-15       Impact factor: 8.311

8.  2020 Alzheimer's disease facts and figures.

Authors: 
Journal:  Alzheimers Dement       Date:  2020-03-10       Impact factor: 21.566

9.  GlycoSpectrumScan: fishing glycopeptides from MS spectra of protease digests of human colostrum sIgA.

Authors:  Nandan Deshpande; Pia H Jensen; Nicolle H Packer; Daniel Kolarich
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

10.  GlycomeDB - integration of open-access carbohydrate structure databases.

Authors:  René Ranzinger; Stephan Herget; Thomas Wetter; Claus-Wilhelm von der Lieth
Journal:  BMC Bioinformatics       Date:  2008-09-19       Impact factor: 3.169

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  5 in total

1.  Haptoglobin polymorphism affects its N-glycosylation pattern in serum.

Authors:  M Kohansal-Nodehi; M Swiatek-de Lange; G Tabarés; H Busskamp
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2022-07-25

2.  Concerted Regulation of Glycosylation Factors Sustains Tissue Identity and Function.

Authors:  Daniel Sobral; Rita Francisco; Laura Duro; Paula Alexandra Videira; Ana Rita Grosso
Journal:  Biomedicines       Date:  2022-07-27

Review 3.  Ageing and cancer: a research gap to fill.

Authors:  Eric Solary; Nancy Abou-Zeid; Fabien Calvo
Journal:  Mol Oncol       Date:  2022-05-21       Impact factor: 7.449

4.  Circulating multimeric immune complexes contribute to immunopathology in COVID-19.

Authors:  Jakob Ankerhold; Sebastian Giese; Philipp Kolb; Andrea Maul-Pavicic; Reinhard E Voll; Nathalie Göppert; Kevin Ciminski; Clemens Kreutz; Achim Lother; Ulrich Salzer; Wolfgang Bildl; Tim Welsink; Nils G Morgenthaler; Andrea Busse Grawitz; Florian Emmerich; Daniel Steinmann; Daniela Huzly; Martin Schwemmle; Hartmut Hengel; Valeria Falcone
Journal:  Nat Commun       Date:  2022-09-26       Impact factor: 17.694

5.  Effects of low-calorie and different weight-maintenance diets on IgG glycome composition.

Authors:  Helena Deriš; Petra Tominac; Frano Vučković; Nina Briški; Arne Astrup; Ellen E Blaak; Gordan Lauc; Ivan Gudelj
Journal:  Front Immunol       Date:  2022-09-21       Impact factor: 8.786

  5 in total

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