Literature DB >> 26801879

Glycomics and glycoproteomics focused on aging and age-related diseases--Glycans as a potential biomarker for physiological alterations.

Yuri Miura1, Tamao Endo2.   

Abstract

BACKGROUND: Since glycosylation depends on glycosyltransferases, glycosidases, and sugar nucleotide donors, it is susceptible to the changes associated with physiological and pathological conditions. Therefore, alterations in glycan structures may be good targets and biomarkers for monitoring health conditions. Since human aging and longevity are affected by genetic and environmental factors such as diseases, lifestyle, and social factors, a scale that reflects various environmental factors is required in the study of human aging and longevity. SCOPE OF REVIEW: We herein focus on glycosylation changes elucidated by glycomic and glycoproteomic studies on aging, longevity, and age-related diseases including cognitive impairment, diabetes mellitus, and frailty. We also consider the potential of glycan structures as biomarkers and/or targets for monitoring physiological and pathophysiological changes. MAJOR
CONCLUSIONS: Glycan structures are altered in age-related diseases. These glycans and glycoproteins may be involved in the pathophysiology of these diseases and, thus, be useful diagnostic markers. Age-dependent changes in N-glycans have been reported previously in cohort studies, and characteristic N-glycans in extreme longevity have been proposed. These findings may lead to a deeper understanding of the mechanisms underlying aging as well as the factors influencing longevity. GENERAL SIGNIFICANCE: Alterations in glycosylation may be good targets and biomarkers for monitoring health conditions, and be applicable to studies on age-related diseases and healthy aging. This article is part of a Special Issue entitled "Glycans in personalised medicine" Guest Editor: Professor Gordan Lauc.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Biomarker; Glycomics; Glycoproteomics; Glycosylation; Longevity

Mesh:

Substances:

Year:  2016        PMID: 26801879     DOI: 10.1016/j.bbagen.2016.01.013

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  25 in total

1.  Analysis of Intact Glycoproteins by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.

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2.  Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach.

Authors:  L Veillon; S Zhou; Y Mechref
Journal:  Methods Enzymol       Date:  2017-01-09       Impact factor: 1.600

Review 3.  Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.

Authors:  Morten Thaysen-Andersen; Nicolle H Packer; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-02-29       Impact factor: 5.911

4.  Stage Dependence, Cell-Origin Independence, and Prognostic Capacity of Serum Glycan Fucosylation, β1-4 Branching, β1-6 Branching, and α2-6 Sialylation in Cancer.

Authors:  Shadi Ferdosi; Douglas S Rehder; Paul Maranian; Erik P Castle; Thai H Ho; Harvey I Pass; Daniel W Cramer; Karen S Anderson; Lei Fu; David E C Cole; Tao Le; Xifeng Wu; Chad R Borges
Journal:  J Proteome Res       Date:  2017-11-21       Impact factor: 4.466

Review 5.  Mass spectrometry for the identification and analysis of highly complex glycosylation of therapeutic or pathogenic proteins.

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Journal:  Expert Rev Proteomics       Date:  2020-05-28       Impact factor: 3.940

Review 6.  Viral and Host Biomarkers of HIV Remission Post Treatment Interruption.

Authors:  Leila B Giron; Mohamed Abdel-Mohsen
Journal:  Curr HIV/AIDS Rep       Date:  2022-04-19       Impact factor: 5.071

7.  Building a PGC-LC-MS N-glycan retention library and elution mapping resource.

Authors:  Jodie L Abrahams; Matthew P Campbell; Nicolle H Packer
Journal:  Glycoconj J       Date:  2017-09-13       Impact factor: 2.916

8.  LW-AFC Effects on N-glycan Profile in Senescence-Accelerated Mouse Prone 8 Strain, a Mouse Model of Alzheimer's Disease.

Authors:  Jianhui Wang; Xiaorui Cheng; Ju Zeng; Jiangbei Yuan; Zhongfu Wang; Wenxia Zhou; Yongxiang Zhang
Journal:  Aging Dis       Date:  2017-02-01       Impact factor: 6.745

9.  Identification of Dysregulated Complement Activation Pathways Driven by N-Glycosylation Alterations in T2D Patients.

Authors:  Yang Zhao; Man Wang; Bo Meng; Ying Gao; Zhichao Xue; Minjun He; You Jiang; Xinhua Dai; Dan Yan; Xiang Fang
Journal:  Front Chem       Date:  2021-06-11       Impact factor: 5.221

Review 10.  Use of Mass Spectrometry to Screen Glycan Early Markers in Hepatocellular Carcinoma.

Authors:  Raphaela Menezes de Oliveira; Carlos Andre Ornelas Ricart; Aline Maria Araujo Martins
Journal:  Front Oncol       Date:  2018-01-15       Impact factor: 6.244

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