IgG glycans as an ageing biomarker: how 'glycan age' is measured

Prepared by: Research Desk

Prepared by: Research Desk. Sources are linked for verification.

Most biological-age scores in the quantified-self world come from DNA methylation. A smaller research field takes a different route. It reads the sugar chains attached to immunoglobulin G (IgG), the most abundant antibody class in blood. The resulting estimate is often called glycan age. This explainer covers what IgG glycosylation is, which glycan traits shift with age, how the measurements are made, and where the approach runs into limits.

What IgG N-glycosylation is

Many proteins carry carbohydrate chains, or glycans, added after the protein is made. IgG carries a conserved N-linked glycan on each of its heavy chains, in the Fc region of the antibody. That glycan is a branched structure built from a common core. It can carry optional additions: galactose at the ends of the branches, sialic acid on top of galactose, a core fucose, and sometimes a "bisecting" N-acetylglucosamine in the middle [2][5].

These optional additions vary between people. Research groups have linked the composition of the IgG glycan to how the antibody interacts with the immune system, which is one reason the glycan has been studied as a readout of age-associated immune biology [2][12]. One research group has published an overview of what it learned from analysing IgG glycosylation in more than 100,000 individuals, covering how the glycome relates to age, sex and disease [1].

Which glycan traits shift with age

The most consistently reported age trend is reduced galactosylation. As people get older, the share of IgG glycans carrying galactose tends to fall [2][3][5]:

  • G0 (agalactosylated) glycans, with no terminal galactose, tend to rise.

  • Digalactosylated (G2) glycans tend to decline.

  • Sialylation has been reported to decrease and bisecting GlcNAc to increase, although the size of these shifts varies between populations [3][8].

These are population-level tendencies, not a unique signature of ageing. Lower galactosylation and higher G0 also appear in inflammatory and immune-related conditions, so an "older-looking" glycan profile can reflect more than the passage of time [2][3][12]. Nikolac Perkovic and colleagues also reported an association between IgG galactosylation and body mass index [7], an example of a non-age factor that can move the same traits.

From glycan traits to a glycan clock

The idea of a glycan-based age score was introduced in 2014 by the research group behind the large IgG glycome studies. Their later overview articles describe how galactosylation-related IgG glycan features were combined into an index linked to both chronological and biological age [1][5].

Independent work tested the concept in other settings. Yu and colleagues profiled IgG N-glycans as potential markers of chronological and biological age in a community-based study of a Han Chinese population, extending the approach beyond European cohorts [6]. Mijakovac and colleagues used a twin study to examine the heritability of the glycan clock. They estimated moderate heritability, averaging 39%, indicating that both inherited and non-inherited factors shape the score [4].

Two points matter for interpretation:

  • Most evidence is cross-sectional. Cohort studies show associations and age prediction. They do not show that glycan changes drive ageing.

  • A score is an estimate. Glycan-age models carry prediction error and depend on the population they were built in, so a single result is a coarse estimate rather than a precise personal age [6][8].

How the glycans are measured

A common laboratory workflow runs in four stages [1][4]:

  1. Isolate IgG from a blood sample, typically by affinity capture.

  2. Release the N-glycans from the antibody enzymatically.

  3. Label the glycans with a fluorescent tag.

  4. Separate and quantify them by hydrophilic interaction chromatography (HILIC) on an ultra-high-performance liquid chromatography (UPLC/UHPLC) system.

The output is a chromatogram divided into numbered peaks (GP1, GP2 and so on). Each peak's relative abundance is a feature. Selected features, or derived traits such as total galactosylation, feed into an age-prediction model.

Mass spectrometry is the main alternative. It measures glycan mass and can resolve structures in finer detail, including which IgG subclass a glycan sits on [1][12]. Peak definitions differ between methods, so a score calibrated on HILIC-UPLC peaks cannot simply be transferred to mass-spectrometry data without recalibration [1][8].

Some studies profile the whole serum N-glycome rather than IgG alone. Lado-Baleato and colleagues reported age-related changes in serum N-glycans in men and women, with clusters associated with comorbidity [9]. Serum-wide and IgG-specific measures are related but not identical.

How glycan age differs from epigenetic clocks

Epigenetic clocks estimate age from DNA methylation at selected CpG sites, a process covered in how epigenetic clocks work. Their training targets differ:

  • The Horvath clock was trained across many tissues to predict chronological age [10].

  • PhenoAge was trained on a composite of clinical blood markers [11].

  • DunedinPACE was trained to estimate the pace of ageing from longitudinal data [13].

Our explainer on first, second and third generation epigenetic clocks sets out these training targets in more detail.

Glycan age differs in three ways:

  • Biological layer. It reads a protein modification on circulating antibodies, not a DNA mark. It is better described as an immune-system readout than as a whole-body or tissue-level age.

  • Feature count. Glycan indices draw on a small set of chromatography features, while methylation clocks typically combine many CpG sites [10].

  • Training target. Unlike PhenoAge, glycan indices were not built on a mortality-linked physiological composite [11].

Because the layers differ, a glycan score and a methylation score from the same person need not agree. The broader picture is in our biological age test guide.

Limitations to keep in view

  • Sex and hormones. IgG glycosylation differs by sex, and age patterns in women may be influenced by hormonal change, including menopause [3][8].

  • Low specificity. Inflammation, immune activity and body mass index can shift the same galactosylation traits that carry the age signal [2][7][12].

  • Population dependence. The IgG glycome varies between countries and populations, and model performance can change outside the training cohort [6][8].

  • Assay and model dependence. Results depend on the analytical platform, the peaks or traits selected and the calibration used [1][4].

  • Measurement noise. Any single reading carries error. Our page on biological age test accuracy explains why repeat measurements and confidence intervals matter.

Questions to ask about any biological age test

Glycan, methylation and blood-panel tests measure different things, so the useful questions are about the measurement itself rather than the headline number:

  • What is measured? DNA methylation, IgG glycans or a standard blood panel, and which published model turns it into a score.

  • Laboratory standards. Whether the processing laboratory holds CLIA certification [15].

  • Validation. Whether the method and model are described in peer-reviewed literature, and in which populations.

  • Repeatability. Whether the provider reports measurement error or repeat-sample agreement.

  • Price transparency. Whether the full cost, including any repeat or subscription fees, is stated up front.

  • Data privacy. How samples and results are stored, shared or deleted.

Any listing here is assessed against the criteria above and does not change how the research is reported on this page.

Frequently asked questions

Is glycan age the same as epigenetic age?

No. Glycan age is derived from sugar structures on IgG antibodies, while epigenetic age comes from DNA methylation patterns [1][10]. The two read different biological layers, so results from the same person can diverge.

Which glycan change is most linked to age?

Loss of galactose is the most consistent finding. It shows up as a rise in agalactosylated G0 glycans and a fall in digalactosylated forms [2][5]. These shifts also occur in inflammatory states, so they are not specific to ageing.

How precise is a glycan age estimate?

Not very precise at the level of one person. The IgG glycome varies between populations [8] and moves with non-age factors such as body mass index [7], so a single score is best read as a broad estimate within the model's population.

How are glycan-based tests regulated?

The FDA describes laboratory-developed tests as tests designed, manufactured and used within a single laboratory [14]. In September 2025, FDA published a Federal Register notice implementing the court-ordered vacatur of its 2024 rule on laboratory-developed tests [16], while CMS oversees laboratory quality under CLIA [15]. Our page on whether biological age tests are FDA approved explains the details, and the About page sets out how this site sources its pages.

Related on this site

Last updated: 26 October 2026.

Not medical advice. This page reports published research and regulatory records for information only.

Research-only notice: Content on this site is provided for research and educational purposes only and is not intended for human use. It is not medical advice.

Translation notice: Some content on this site may have been machine-translated using Google Translate and may contain errors.

Sources

  1. Krištić J et al. The importance of IgG glycosylation-What did we learn after analyzing over 100,000 individuals. Immunol Rev. 2024. PMID 39364834

  2. Gudelj I et al. Immunoglobulin G glycosylation in aging and diseases. Cell Immunol. 2018. PMID 30107893

  3. Wu Y et al. Immunoglobulin G glycosylation and its alterations in aging-related diseases. Acta Biochim Biophys Sin (Shanghai). 2024. PMID 39126246

  4. Mijakovac A et al. Heritability of the glycan clock of biological age. Front Cell Dev Biol. 2022. PMID 36619858

  5. Cindrić A et al. Glycosylation and Aging. Adv Exp Med Biol. 2021. PMID 34495544

  6. Yu X et al. Profiling IgG N-glycans as potential biomarker of chronological and biological ages: A community-based study in a Han Chinese population. Medicine (Baltimore). 2016. PMID 27428197

  7. Nikolac Perkovic M et al. The association between galactosylation of immunoglobulin G and body mass index. Prog Neuropsychopharmacol Biol Psychiatry. 2014. PMID 24012618

  8. Global variability of the human IgG glycome. 2020. Europe PMC PMC7467356

  9. Lado-Baleato Ó et al. Age-Related Changes in Serum N-Glycome in Men and Women-Clusters Associated with Comorbidity. Biomolecules. 2023. PMID 38254617

  10. Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013. PMID 24138928

  11. Levine ME, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY). 2018. PMID 29676998

  12. Shkunnikova S et al. IgG glycans in health and disease: Prediction, intervention, prognosis, and therapy. Biotechnol Adv. 2023. PMID 37207876

  13. Belsky DW, et al. DunedinPACE, a DNA methylation biomarker of the pace of aging. Elife. 2022. PMID 35029144

  14. U.S. FDA. Laboratory Developed Tests

  15. Centers for Medicare & Medicaid Services. Clinical Laboratory Improvement Amendments (CLIA)

  16. Federal Register. Medical Devices; Laboratory Developed Tests: Implementation of Vacatur (19 Sept 2025)

Research-only notice: Content on this site is provided for research and educational purposes only and is not intended for human use. It is not medical advice.

Translation notice: Some content on this site may have been machine-translated using Google Translate and may contain errors.