A proposed model using glycation metrics and circulating biomarkers for the prevention of cardiovascular disease
- PMID: 40873802
- PMCID: PMC12378529
- DOI: 10.3389/fmed.2025.1624682
A proposed model using glycation metrics and circulating biomarkers for the prevention of cardiovascular disease
Abstract
Introduction: Cardiovascular aging starts early in life due to the glycation of critical proteins, though its progression remains undetected in the formative years. The glycation reaction affects all tissues by the same non enzymatic irreversible reaction. The variables are the pH, temperature, glucose concentration, and the specific protein. This relationship implies that glycated blood biomarkers could potentially be used as a proxy for assessing in situ myocardial changes.
Methods: Laboratory tests for troponin I (cTnI), hemoglobin A1c (A1c), fructosamine, and low-density lipoprotein (LDL), were chosen to calculate the proxy for in situ glycation. An algorithm was developed incorporating these variables as individual measurements and as calculated metrics of glycation. This data was obtained from previous large group studies of variables and outcomes.
Results: Modeling of glycation was determined for each variable. Using metrics from multiple studies, theoretical rates of glycation of LDL and troponin I were calculated. The glycated changes in LDL and troponin I were used to determine the increases above optimal physiological rates.
Conclusion: Laboratory results of LDL, cTnI, A1c and fructosamine could be used sequentially to derive a cost-effective proxy for assessing in situ aging and deterioration of cardiovascular tissue. This model could theoretically predict the rate of cardiovascular aging by integrating four blood biomarkers into a dedicated algorithm guiding proactive diagnostics and treatment.
Keywords: algorithm; biomarkers; cardiovascular disease; glycation; prevention.
Copyright © 2025 Valk and McMorrow.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures
References
-
- Parmley WW. Prevalence and clinical significance of silent myocardial ischemia. Circulation. (1989) 80:IV68–73. - PubMed
-
- Zhang ZM, Rautaharju PM, Prineas RJ, Rodriguez CJ, Loehr L, Rosamond WD, et al. Race and sex differences in the incidence and prognostic significance of silent myocardial infarction in the atherosclerosis risk in communities (ARIC) study. Circulation. (2016) 133:2141–8. doi: 10.1161/CIRCULATIONAHA.115.021177, PMID: - DOI - PMC - PubMed
LinkOut - more resources
Full Text Sources
Research Materials
