A 12-week resistance exercise intervention in centenarians reduced the gene expression-based biological age (GamC) by a median of 8.2 years compared to a 1.8-year reduction in the control group.
Observational (n=87)
Computer-generated shuffle list (for the centenarian intervention subgroup)
No
Does the gene expression-based age monitoring Clock (GamC) accurately describe cardiovascular health-related biological age and correlate with chronological age?
GamC, a simple blood biomarker based on the expression of three genes, reliably correlates with chronological age and physical activity levels, offering a potential tool for monitoring cardiovascular health-related biological age.
Effect estimate: |r| = 0.4
Absolute Event Rate: -8.2% vs -1.8%
p-value: p=≤0.05
The need to monitor the aging process as a risk factor for disease and mortality beyond chronological age (CA) has led to numerous investigations into the estimation of the biological age (BA) of individuals. However, the accuracy of BA estimation tools is often judged by their ability to approximate CA, questioning their value in capturing the variance in health status and thus correctly estimating BA. Their biological relevance is often assessed in relation to health outcomes or mortality, underexploiting their potential for real-time monitoring of BA. Furthermore, their complexity may limit their clinical translation to large populations. Here, we describe the gene expression-based age monitoring Clock (GamC), a simple biomarker of aging (BOA), and characterize its biological relevance with synchronous cardiovascular (CV) health-related functional data. GamC is calculated from the expression levels of three genes consistently dysregulated with age in blood (ABLIM1, CCR7, and LEF1). GamC shows moderate but reliable association with CA in three independent cohorts, supported by transcriptome-wide changes. It demonstrates specialized biological meaning, as it specifically describes current physical activity levels, but poorly correlates with autonomic nervous system function, both age-related factors associated with CV health. Finally, it expresses BA monitoring capacity by modestly responding to an effective exercise-based intervention in centenarians. In conclusion, GamC is proposed as a simple and affordable candidate BOA for reporting the individuals' current CV health-related BA, thus promoting its broad translation and application into measures aimed at promoting healthy aging in relation to CV health, the leading cause of death worldwide.
Hernández‐Bellido et al. (Tue,) conducted a observational in Aging (n=87). Resistance exercise training vs. Usual physical activity was evaluated on Change in Gene expression-based Age Monitoring Clock (GamC) biological age (|r| = 0.4, p=≤0.05). A 12-week resistance exercise intervention in centenarians reduced the gene expression-based biological age (GamC) by a median of 8.2 years compared to a 1.8-year reduction in the control group.