Biological drift, explained simply.
These are the questions we hear most once people see their own results.
Biological drift moves on more than one front at once. These answers cover what's actually being measured, whether it can shift, and how to read your result as a direction, not a verdict.
A measure of how your body is functioning at a cellular and metabolic level, as distinct from chronological age. Different biological age measures (epigenetic clocks, telomere length and others) each capture a different part of the picture and correlate only loosely with one another.[2]
Biological age is the measurement. Biological drift is the process behind it: the gradual movement of your biology away from its own baseline, driven by mechanisms such as telomere attrition, epigenetic change, chronic inflammation and metabolic shifts.[1]
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Early, small-scale research suggests it may be possible to slow or partially shift some markers.[4][5] This is not a guarantee, and vivaLAB does not claim to reverse biological age.
Because drift involves multiple mechanisms at once, vivaINSIGHT links recommendations to what your own biology shows, rather than a generic guess.
Accuracy depends on what's measured. Any single test is a snapshot, and different biological age predictors correlate only weakly with each other.[2] The same test taken again tells you far more than one result alone.
The four mechanisms of biological drift
None of it happens overnight. Each mechanism builds gradually, which is why it's measured as a rate of change, not a single result.
Your cells accumulate damage every time they divide, showing up as slower repair and shorter telomeres.[1]
Organs and body systems gradually lose their peak capacity to adapt to everyday stress.
The chemical tags that turn your genes on and off shift over time, without changing your DNA sequence.
Popular belief says metabolism slows from your 20s. The research tells a more specific story.
vivaSIM turns your test history into a forecast.
A live model of your metabolism, hormones and gut function built from your own test results, not a population average.
Every test feeds into your model.
A model unique to you, not an average.
Projects the direction you're heading.
Each new test sharpens the model.
Top Picks
Stay informed with our curated selection of the latest studies and expert insights on tracking and optimising your Biological Drift.
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References
- López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: An expanding universe. Cell. 2023;186(2):243–278. doi:10.1016/j.cell.2022.11.001. PMID: 36599349.
- Jylhävä J, Pedersen NL, Hägg S. Biological age predictors. EBioMedicine. 2017;21:29–36. doi:10.1016/j.ebiom.2017.03.046. PMID: 28396265.
- Horvath S. DNA methylation age of human tissues and cell types. Genome Biology. 2013;14(10):R115. doi:10.1186/gb-2013-14-10-r115. PMID: 24138928.
- Fahy GM, Brooke RT, Watson JP, et al. Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell. 2019;18(6):e13028. doi:10.1111/acel.13028. PMID: 31496122. Small pilot trial (thymus-regeneration protocol, first cohort of 9 men).
- Fitzgerald KN, Hodges R, Hanes D, et al. Potential reversal of epigenetic age using a diet and lifestyle intervention: a pilot randomized clinical trial. Aging (Albany NY). 2021;13(7):9419–9432. doi:10.18632/aging.202913. PMID: 33844651. Small pilot RCT (43 men); effect-size figures were revised in published corrections (2022, 2024) — the directional finding stands but the magnitude is uncertain.
- Ferrucci L, Fabbri E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nature Reviews Cardiology. 2018;15(9):505–522. doi:10.1038/s41569-018-0064-2. PMID: 30065258.
- Ghosh TS, Shanahan F, O'Toole PW. The gut microbiome as a modulator of healthy ageing. Nature Reviews Gastroenterology & Hepatology. 2022;19(9):565–584. doi:10.1038/s41575-022-00605-x.
- Pontzer H, Yamada Y, Sagayama H, et al. Daily energy expenditure through the human life course. Science. 2021;373(6556):808–812. doi:10.1126/science.abe5017.
- Greendale GA, Sternfeld B, Huang M, et al. Changes in body composition and weight during the menopause transition. JCI Insight. 2019;4(5):e124865. doi:10.1172/jci.insight.124865. PMID: 30843880.