Evidence map›Paper›PMID 24325898›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2014

Glycans are a novel biomarker of chronological and biological ages.

Jasminka Krištić, Frano Vučković, Cristina Menni, Lucija Klarić, Toma Keser, Ivona Beceheli, Maja Pučić-Baković, Mislav Novokmet, Massimo Mangino, Kujtim Thaqi and 17 more

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% of its field
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

230 citing papers in PubMed, 1 synthesis or guideline pooled it, 405 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Review
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170 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 6 institutions in 2 countries.

Jasminka KrištićGenos Glycobiology Laboratory, Zagreb, Croatia.
Frano VučkovićGenos Glycobiology Laboratory, Zagreb, Croatia.
Cristina MenniDepartment of Twins Research and Genetic Epidemiology, Kings College London, UK.
Lucija KlarićGenos Glycobiology Laboratory, Zagreb, Croatia.
Toma KeserFaculty of Pharmacy and Biochemistry, University of Zagreb, Croatia.
Ivona BeceheliGenos Glycobiology Laboratory, Zagreb, Croatia.
Maja Pučić-BakovićGenos Glycobiology Laboratory, Zagreb, Croatia.
Mislav NovokmetGenos Glycobiology Laboratory, Zagreb, Croatia.
Massimo ManginoDepartment of Twins Research and Genetic Epidemiology, Kings College London, UK.
Kujtim ThaqiGenos Glycobiology Laboratory, Zagreb, Croatia.
Pavao RudanInstitute for Anthropological Research, Zagreb, Croatia.
Natalija NovokmetInstitute for Anthropological Research, Zagreb, Croatia.
Jelena SaracInstitute for Anthropological Research, Zagreb, Croatia.
Saša MissoniInstitute for Anthropological Research, Zagreb, Croatia.
Ivana KolčićFaculty of Medicine, University of Split, Croatia.
Ozren PolašekFaculty of Medicine, University of Split, Croatia.
Igor RudanCentre for Population Health Sciences, The University of Edinburgh Medical School, UK.
Harry CampbellCentre for Population Health Sciences, The University of Edinburgh Medical School, UK.
Caroline HaywardMRCHGU, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH4 2XU, UK.
Yurii AulchenkoInstitute of Cytology and Genetics SD RAS, Novosibirsk, Russia.
Ana ValdesDepartment of Twins Research and Genetic Epidemiology, Kings College London, UK.
James F WilsonCentre for Population Health Sciences, The University of Edinburgh Medical School, UK.
Olga GornikFaculty of Pharmacy and Biochemistry, University of Zagreb, Croatia.
Dragan PrimoracUniversity of Osijek School of Medicine, Croatia.
Vlatka ZoldošFaculty of Science, University of Zagreb, Croatia.
Tim SpectorDepartment of Twins Research and Genetic Epidemiology, Kings College London, UK.
Gordan LaucGenos Glycobiology Laboratory, Zagreb, Croatia. Faculty of Pharmacy and Biochemistry, University of Zagreb, Croatia. glauc@pharma.hr.
Genos (Croatia) · HRInstitute for Anthropological Research · HRUniversity of Zagreb · HRUniversity of Split · HRInstitute of Cytology and Genetics · RUUniversity of Osijek · HR

Funding

Chief Scientist Office CZB/4/710Chief Scientist Office CZB/4/728Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

Fine structural details of glycans attached to the conserved N-glycosylation site significantly not only affect function of individual immunoglobulin G (IgG) molecules but also mediate inflammation at the systemic level. By analyzing IgG glycosylation in 5,117 individuals from four European populations, we have revealed very complex patterns of changes in IgG glycosylation with age. Several IgG glycans (including FA2B, FA2G2, and FA2BG2) changed considerably with age and the combination of these three glycans can explain up to 58% of variance in chronological age, significantly more than other markers of biological age like telomere lengths. The remaining variance in these glycans strongly correlated with physiological parameters associated with biological age. Thus, IgG glycosylation appears to be closely linked with both chronological and biological ages. Considering the important role of IgG glycans in inflammation, and because the observed changes with age promote inflammation, changes in IgG glycosylation also seem to represent a factor contributing to aging. SIGNIFICANCE STATEMENT: Glycosylation is the key posttranslational mechanism that regulates function of immunoglobulins, with multiple systemic repercussions to the immune system. Our study of IgG glycosylation in 5,117 individuals from four European populations has revealed very extensive and complex changes in IgG glycosylation with age. The combined index composed of only three glycans explained up to 58% of variance in age, considerably more than other biomarkers of age like telomere lengths. The remaining variance in these glycans strongly correlated with physiological parameters associated with biological age; thus, IgG glycosylation appears to be closely linked with both chronological and biological ages. The ability to measure human biological aging using molecular profiling has practical applications for diverse fields such as disease prevention and treatment, or forensics.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingBiomarkersCohort StudiesCroatiaFemaleGlycosylationHumansImmunoglobulin GInflammation MediatorsLongevityMaleMiddle AgedBiomarkersImmunoglobulin GInflammation MediatorsPolysaccharidesAgingGlycomeGlycosylationImmunoglobulin GInflammation.

Identifiers

PMID24325898
PMCPMC4049143
OpenAlexW2136722035

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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.