PlumX Metrics
Embed PlumX Metrics

The frailty index outperforms DNA methylation age and its derivatives as an indicator of biological age

GeroScience, ISSN: 2509-2723, Vol: 39, Issue: 1, Page: 83-92
2017
  • 98
    Citations
  • 5
    Usage
  • 103
    Captures
  • 1
    Mentions
  • 27
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Most Recent Blog

Metabolic and Genetic Markers of Biological Age

Introduction What has become clear over the past decade or so is that the contributors to these disorders at the cellular level are damaged molecules and organelles (Lopez-Otin et al., 2013). Cognitive function in the absence of disease does not escape this rule. Thus, the interactions between body components lead to emergent properties at higher levels of organization that are not simply the sum

Article Description

The measurement of biological age as opposed to chronological age is important to allow the study of factors that are responsible for the heterogeneity in the decline in health and function ability among individuals during aging. Various measures of biological aging have been proposed. Frailty indices based on health deficits in diverse body systems have been well studied, and we have documented the use of a frailty index (FI) composed of 34 health items, for measuring biological age. A different approach is based on leukocyte DNA methylation. It has been termed DNA methylation age, and derivatives of this metric called age acceleration difference and age acceleration residual have also been employed. Any useful measure of biological age must predict survival better than chronological age does. Meta-analyses indicate that age acceleration difference and age acceleration residual are significant predictors of mortality, qualifying them as indicators of biological age. In this article, we compared the measures based on DNA methylation with FI. Using a well-studied cohort, we assessed the efficiency of these measures side by side in predicting mortality. In the presence of chronological age as a covariate, FI was a significant predictor of mortality, whereas none of the DNA methylation age-based metrics were. The outperformance of FI over DNA methylation age measures was apparent when FI and each of the DNA methylation age measures were used together as explanatory variables, along with chronological age: FI remained significant but the DNA methylation measures did not. These results indicate that FI is a robust predictor of biological age, while these DNA methylation measures are largely a statistical reflection of the passage of chronological time.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know