GlycanAge dynamics and their relationship to SCORE2 risk change over six months: a secondary analysis of a randomized controlled trial

GlycanAge dynamics and their relationship to SCORE2 risk change over six months: a secondary analysis of a randomized controlled trial. Download PDF Abstract Chronological age dominates cardiovascular (CVD) risk prediction, but glycan-based measures may better reflect biological ageing. In this secondary analysis of a six-month randomized controlled trial in Slovenia, we examined whether IgG glycosylation–derived biological age (GlycanAge) tracked short-term changes in estimated CVD risk.

Adults without diagnosed CVD but with at least one risk factor (119 enrolled; 101 completed the final assessment) received digital risk visualization, continuous glucose monitoring, their combination, or usual care. SCORE2 showed small numerical changes in some intervention groups, but GlycanAge remained largely stable, with only modest and inconsistent change across groups, and no association between change in SCORE2 and change in the GlycanAge–chronological age gap was detectable. Over this short timeframe, GlycanAge did not behave as a surrogate of conventional risk modification; whether it instead reflects slower immune-inflammatory ageing processes complementary to established CVD risk algorithms will require longer studies to establish.

Explore related subjects Discover the latest articles and news in related subjects. Biomarkers Cardiology Computational biology and bioinformatics Diseases Medical research Abbreviations BMI: Body mass index BP: Blood pressure CG: Control group CGM: Continuous glucose monitoring CVD: Cardiovascular disease EDTA: Ethylenediaminetetraacetic acid HDL: High-density lipoprotein IgG: Immunoglobulin G IG1: Intervention group 1 IG2: Intervention group 2 IG3: Intervention group 3 RCT: Randomized controlled trial SCORE2: Systematic COronary Risk Evaluation 2 WHO: World Health Organization Acknowledgements We thank all participants who took part in this study. This work was funded by the European Union’s Horizon Europe research and innovation programme under Grant Agreement No.

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