TAP reading note: Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit
The study constructs a blood-count-based DOSI and examines age-related changes in its autocorrelation. Age-group correlation times of roughly 2–8 weeks motivate dynamic ageing markers. The proposed 120–150-year limit comes from extrapolation beyond observed ages, not direct measurement of a human lifespan limit.
Updated 2026-10-29 · Archived
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What the study found
The study constructs a blood-count-based DOSI and examines age-related changes in its autocorrelation. Age-group correlation times of roughly 2–8 weeks motivate dynamic ageing markers. The proposed 120–150-year limit comes from extrapolation beyond observed ages, not direct measurement of a human lifespan limit.
Scope & limitations
NHANES modelling and UK Biobank validation; 1,082 people with longitudinal blood counts, reduced to 407 for the DOSI-selected non-frail dynamic analysis, plus separate activity data.
Some longitudinal data lack clinical status, and selection on DOSI affects interpretation. Group-average autocorrelation is not an individual's observed recovery after a defined stressor. Linear extrapolation into unobserved ages cannot establish a hard biological limit.
Population & sample
NHANES modelling and UK Biobank validation; 1,082 people with longitudinal blood counts, reduced to 407 for the DOSI-selected non-frail dynamic analysis, plus separate activity data.
Exposure or intervention
Blood-count mortality models, repeated-measure autocorrelation and comparisons with activity sequences.
Outcomes
Mortality-model C-index of .68 in training, .67 in testing and .65 in UK Biobank; dynamic fluctuations and age associations were also analysed.
Time frame
Source-specific repeated measurements and follow-up; correlation times are measured in weeks, while lifespan extrapolation extends beyond observed ages.
Research funding
Supported by Gero PTE.
Research conflicts of interest
Several authors were Gero employees, with additional shareholder and advisory-board relationships.
Reading scope
Full-text DOSI dynamics, methods, Figure 3, extrapolation discussion and disclosures. All data processing and sensitivity analyses have not been independently reproduced.
References
Publication record
TAP-RDN-0052 · v1.0 · English
Author: TAP Editorial Team ·
The Allostasis Project is founded and supported by Resilio.
Record for v1.0 · Updated
Editorial responsibility: TAP Editorial Team
Scientific review
Not yet scientifically reviewed
Editorial note
Under the editorial responsibility of the TAP Editorial Team, this publication used AI assistance for content organization and editing. Scientific review is recorded separately on this page.
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Record integrity & available editions
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Captured: 2026-10-29T10:31:13.628Z
- v1.0 · 2026-10-29