DNAmFitAge
| DNAmFitAge |
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DNAmFitAge is an epigenetic clock and biological biomarker designed to estimate an individual's biological age by incorporating objective measures of physical fitness. Developed by a research team led by Zsolt Radák and Kristen M. McGreevy in collaboration with Steve Horvath, it is categorized as a "third-generation" epigenetic clock. Unlike earlier models that primarily predict chronological age or mortality risk, DNAmFitAge specifically integrates physiological indicators of strength, mobility, and respiratory function to assess "fitness-healthspan."[1]
Methodology
DNAmFitAge was constructed using data from large-scale longitudinal datasets, such as the InCHIANTI study, to bridge the gap between molecular aging and functional physical decline. The clock is a composite of four distinct blood-based DNA methylation (DNAm) biomarkers:
- DNAmVO2max: Estimates maximal oxygen uptake (cardiorespiratory fitness).
- DNAmGaitSpeed: Estimates walking speed (mobility).
- DNAmGripmax: Estimates maximum handgrip strength (muscular strength).
- DNAmFEV1: Estimates forced expiratory volume in one second (lung function).
These four metrics are integrated with DNAmGrimAge (a second-generation mortality-risk estimator) to calculate the final DNAmFitAge score. When an individual’s DNAmFitAge is lower than their chronological age, it is referred to as "FitAge Deceleration," indicating they are biologically "fitter" and potentially "younger" than their birth age.[1]
Scientific Findings
Research has demonstrated that DNAmFitAge is significantly more sensitive to lifestyle interventions, particularly physical training, compared to first-generation clocks like the Horvath clock.
Sensitivity to Exercise
Studies have shown that regular physical activity, especially high-intensity interval training (HIIT), is associated with a younger DNAmFitAge. Research comparing elite athletes, such as Olympic champions and master rowers, to sedentary controls found that the athletes exhibited significantly younger DNAmFitAge scores, often by a margin of 1.5 to 2.0 years.[2]
Lactate Signaling
In 2025, a study published in Redox Biology by Zhou and Radák suggested that lactate produced during strenuous exercise acts as a metabolic-epigenetic signal. This signaling remodels the skeletal muscle methylome and transcriptome, providing a molecular basis for the fitness-related changes captured by the DNAmFitAge clock.[3]
Extracellular Vesicles
Further research in 2025 identified that the protein cargo of circulating extracellular vesicles correlates specifically with the DNAmFitAge acceleration, suggesting a mechanism for inter-organ communication during exercise-induced aging deceleration.[4]
Comparison to other clocks
| Feature | Horvath Clock | DNAmGrimAge | DNAmFitAge |
|---|---|---|---|
| Generation | 1st (Chronological) | 2nd (Mortality) | 3rd (Functional/Fitness) |
| Primary Goal | Predict birth age | Predict lifespan | Predict healthspan/fitness |
| Exercise Sensitivity | Low | Moderate | High |
| Tissue Source | Multi-tissue | Blood | Blood |
References
- ↑ 1.0 1.1 McGreevy, K. M.; Radák, Z.; Torma, F.; Jokai, M.; Lu, A. T.; Belsky, D. W.; Horvath, S. (2023). "DNAmFitAge: biological age indicator incorporating physical fitness". Aging (Albany NY). 15 (10): 3904–3935. doi:10.18632/aging.204538. PMC 10258016 Check
|pmc=value (help). PMID 36812475 Check|pmid=value (help). - ↑ Radák, Z.; Torma, F.; Kerepesi, C.; et al. (2023). "DNA methylation clock DNAmFitAge shows regular exercise is associated with slower aging and systemic adaptation". GeroScience. 45 (5): 2805–2817. doi:10.1007/s11357-023-00826-1. PMC 10643800 Check
|pmc=value (help). PMID 37209203 Check|pmid=value (help). - ↑ Zhou, L.; Radák, Z. (2025). "Lactate as a Metabolic–Epigenetic Signal Linking High-Intensity Interval Training (HIIT) to miRNA-Centered Remodeling". Redox Biology. 88. doi:10.1016/j.redox.2025.103943. PMC 12702345 Check
|pmc=value (help). PMID 41314005 Check|pmid=value (help). - ↑ György, B.; Radák, Z.; et al. (2025). "The protein cargo of extracellular vesicles correlates with the epigenetic aging clock of exercise sensitive DNAmFitAge". Biogerontology. 26 (1). doi:10.1007/s10522-024-10177-9. PMID 39775340 Check
|pmid=value (help). Unknown parameter|article-number=ignored (help)
See also
Category:Aging Category:Epigenetics Category:Biomarkers Category:Exercise physiology
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