Evidence map›Paper›PMID 34071388›Full record

ReviewInternational journal of molecular sciences2021

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

Beatrix Paton, Manuel Suarez, Pol Herrero, Núria Canela

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Emerging Mechanistic Links Between Fucosylation and Senescence in Lung Diseases.Journal of respiratory biology and translational medicine · 2026
    Article
  7. Article
  8. Review
  9. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.International journal of molecular sciences · 2025
    Article
  10. Article
  11. Temporal and Sex-DependentInternational journal of molecular sciences · 2025
    Article
  12. Exploration of biomarkers for inhibitor development in persons with hemophilia A.Research and practice in thrombosis and haemostasis · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Glycosylation in aging and neurodegenerative diseases.Acta biochimica et biophysica Sinica · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Beatrix PatonEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.
Manuel SuarezNutrigenomics Research Group, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain.ORCID 0000-0003-0122-8253
Pol HerreroEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.
Núria CanelaEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.ORCID 0000-0003-0261-2396

Funding

Ministerio de Ciencia, Innovación y Universidades TecnomiFood (CER-20191010)
6 · The paper itself

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.

Indexed as

AgingBiomarkersChromatography, LiquidDiabetes Mellitus, Type 2GlycosylationHumansMass SpectrometryMetabolic SyndromeNeoplasmsPolysaccharidesBiomarkersPolysaccharidesageingage-related diseaseglycan analysisglycosylationmass spectrometryn-glycan

Identifiers

PMID34071388
PMCPMC8198018

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.