Advanced Biological Age Tests

The length of the human lifespan is determined by genetic inheritance, lifestyle and environmental factors, their complex interplay, and random factors. It is generally estimated that genetic factors explain about 15–30% of the variation in lifespan.

Individuals of the same Chronological age exhibit different rates of Biological ageing.

Therefore a test of Biological Age is an important predictor of True Age.

Through our exclusive partnership with GrimAge we are able to bring this cutting-edge technology to Australia and out clients.

GrimAge is an advanced epigenetic clock that measures DNA methylation levels at specific sites correlated with calendar age and predicts age-related mortality and morbidity. It's based on eight DNA methylation-based markers for plasma proteins and self-reported smoking pack-years.

GrimAge is a strong predictor of lifespan and healthspan. It's been shown to outperform other epigenetic clocks in predicting age-related clinical phenotypes and all-cause mortality*.

Here are some of the proteins used in GrimAge:

• Plasminogen activation inhibitor 1 (PAI-1)
• Cystatin C
• Leptin
• Tissue inhibitor metalloproteinases 1 (TIMP1)
• Adrenomedullin (ADM)
• Beta-2-microglobulin (B2M)
• Growth differentiation factor 15 (GDF15)

The major advantage of epigenetic clocks is that they can be utilized to estimate the progress of aging over the life course.  GrimAge stands out among existing epigenetic clocks in terms of its predictive ability and is a strong predictor of true biological age, lifespan and healthspan**.

Going forward, DNA aging tests can then be used to determine whether anti-ageing interventions — anything from diet changes, to exercise or strength-building protocols, to stress reduction, or anti-ageing medications can help to slow down or even reverse the ageing process.

*In The Journals of Gerontology: Series A, Volume 76, Issue 5, May 2021, Cathal McGrory, et al.
** In Aging 2019 Jan 21;11(2):303–327, Ake t Lu, et al. and Clin Epigenet 13, 128 (2021), T Fohr, et al