Cited by 139Genetics, Aging, and Longevity in Model OrganismsComplex Systems and Time Series AnalysisCircadian rhythm and melatonin

Longitudinal Analysis of Blood Markers Reveals Progressive Loss of Resilience and Predicts Human Lifespan Limit

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Pyrkov, Timothy V., Avchaciov, Konstantin, Tarkhov, Andrei E., Menshikov, Leonid I., Gudkov, Andrei V., Fedichev, Peter O.·2021·Nature Communications

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Abstract

We investigated the dynamic properties of the organism state fluctuations along individual aging trajectories in a large longitudinal database of CBC measurements from a consumer diagnostics laboratory. To simplify the analysis, we used a log-linear mortality estimate from the CBC variables as a single quantitative measure of the aging process, henceforth referred to as dynamic organism state indicator (DOSI). We observed, that the age-dependent population DOSI distribution broadening could be explained by a progressive loss of physiological resilience measured by the DOSI auto-correlation time. Extrapolation of this trend suggested that DOSI recovery time and variance would simultaneously diverge at a critical point of 120 - 150 years of age corresponding to a complete loss of resilience. The observation was immediately confirmed by the independent analysis of correlation properties of intraday physical activity levels fluctuations collected by wearable devices. We conclude that the criticality resulting in the end of life is an intrinsic biological property of an organism that is independent of stress factors and signifies a fundamental or absolute limit of human lifespan.

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  1. [40]Landau, L. D. & Lifshitz, E. M. Physical kinetics, Vol. 10. Course of Theoretical Physics (Butterworth-Heinemann, 1981).
  2. [44]Avchaciov, K. et al. Identification of a blood test-based biomarker of aging through deep learning of aging trajectories in large phenotypic datasets of mice. Preprint at bioRxiv10.1101/2020.01.23.917286 (2020).

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Authors
Pyrkov, T. V., Avchaciov, K., Tarkhov, A. E., Menshikov, L. I., Gudkov, A. V., & Fedichev, P. O.
Affiliations
  • Skolkovo Institute of Science and Technology (RU)
  • Roswell Park Comprehensive Cancer Center (US)
  • Moscow Institute of Physics and Technology (RU)
Corresponding author
  • Pyrkov, Timothy V.
  • Fedichev, Peter O.
Venue
Nature Communications
Published
2021-05-25
Volume
12
Issue
1
Pages
2765-2765
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3164240006
Cited by
139
References
66
Citations by year
2026: 26 · 2025: 14 · 2024: 25 · 2023: 20 · 2022: 17 · 2021: 37
FWCI
8.85
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
Keywords
aging, physiological resilience, blood cell count, complete blood count, mortality prediction, critical points, wearable devices
MeSH terms
Adaptation, Physiological, Adult, Aged, Aged, 80 and over, Aging, Blood Cell Count, Female, Health Status, Humans, Longevity, Longitudinal Studies, Male, Middle Aged, Biomarkers, Resilience, Psychological, Young Adult

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