Dataset Information

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit.

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.

SUBMITTER: Pyrkov TV

PROVIDER: S-EPMC8149842 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit.

Pyrkov Timothy V TV Avchaciov Konstantin K Tarkhov Andrei E AE Menshikov Leonid I LI Gudkov Andrei V AV Fedichev Peter O PO

Nature communications 20210525 1

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 e ...[more]

PMID: 34035236

Similar Datasets

Project description:BackgroundHuman resilience is dynamic and generated through myriad interactions starting from early childhood. Resilience can improve quality of life and longevity.ObjectiveThe current analysis evaluates childhood resilience at 9 years of age and its associations with concurrent cognition and early childhood factors, using longitudinal follow-up of a community birth cohort in Vellore, south India.MethodsResilience was assessed using the Child and Youth Resilience Measure and cognition utilizing the Malin's Intelligence Scale for Indian Children. Early childhood variables included growth stunting, maternal depression scores, home environment scores, and socio-economic status (SES) at 2 years of age. Statistical evaluation included bivariate analysis with further multi-variate regression for each resilience domain and the total resilience score.FindingsOut of 251 newborns recruited into the original birth cohort, 205 (81.7%) children were available for the 9-year follow-up. Mean (SD) scores in individual, caregiving, and context domains of resilience were 26.34 (3.2), 19.52 (1.6), and 20 (1.8) respectively. Individual resilience domain was associated with verbal cognition scores at 9 years of age (0.07, p = 0.019) and total home environment scores (0.16, p = 0.027) at 2 years of age, when adjusted for stunting, maternal depression, and SES. The total resilience score was associated only with concurrent verbal intelligence (0.08, p = 0.026) after adjustment with early childhood factors. Analysis of individual home environment factors showed that daily stimulation was associated with the individual domain of resilience.ConclusionsFollow-up of an Indian birth cohort showed that in addition to concurrent cognitive abilities, childhood resilience was related to early childhood stimulating home environment. Promoting optimal stimulating home environments in low-resource settings to nurture holistic childhood development including mental health is essential.

Dataset Information

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit.

Publications

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets