The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms. / Nielsen, Pernille Yde; Jensen, Majken K; Mitarai, Namiko; Bhatt, Samir.

In: Scientific Reports, Vol. 14, No. 1, 1196, 2024.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nielsen, PY, Jensen, MK, Mitarai, N & Bhatt, S 2024, 'The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms', Scientific Reports, vol. 14, no. 1, 1196. https://doi.org/10.1038/s41598-024-51669-5

APA

Nielsen, P. Y., Jensen, M. K., Mitarai, N., & Bhatt, S. (2024). The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms. Scientific Reports, 14(1), [1196]. https://doi.org/10.1038/s41598-024-51669-5

Vancouver

Nielsen PY, Jensen MK, Mitarai N, Bhatt S. The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms. Scientific Reports. 2024;14(1). 1196. https://doi.org/10.1038/s41598-024-51669-5

Author

Nielsen, Pernille Yde ; Jensen, Majken K ; Mitarai, Namiko ; Bhatt, Samir. / The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms. In: Scientific Reports. 2024 ; Vol. 14, No. 1.

Bibtex

@article{36fad4721057487d99244e62543ca05e,

title = "The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms",

abstract = "Understanding and facilitating healthy aging has become a major goal in medical research and it is becoming increasingly acknowledged that there is a need for understanding the aging phenotype as a whole rather than focusing on individual factors. Here, we provide a universal explanation for the emergence of Gompertzian mortality patterns using a systems approach to describe aging in complex organisms that consist of many inter-dependent subsystems. Our model relates to the Sufficient-Component Cause Model, widely used within the field of epidemiology, and we show that including inter-dependencies between subsystems and modeling the temporal evolution of subsystem failure results in Gompertizan mortality on the population level. Our model also provides temporal trajectories of mortality-risk for the individual. These results may give insight into understanding how biological age evolves stochastically within the individual, and how this in turn leads to a natural heterogeneity of biological age in a population.",

keywords = "Humans, Models, Biological, Aging, Phenotype, Biomedical Research, Healthy Aging, Mortality",

author = "Nielsen, {Pernille Yde} and Jensen, {Majken K} and Namiko Mitarai and Samir Bhatt",

note = "{\textcopyright} 2024. The Author(s).",

year = "2024",

doi = "10.1038/s41598-024-51669-5",

language = "English",

volume = "14",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "nature publishing group",

number = "1",

}

RIS

TY - JOUR

T1 - The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms

AU - Nielsen, Pernille Yde

AU - Jensen, Majken K

AU - Mitarai, Namiko

AU - Bhatt, Samir

PY - 2024

Y1 - 2024

N2 - Understanding and facilitating healthy aging has become a major goal in medical research and it is becoming increasingly acknowledged that there is a need for understanding the aging phenotype as a whole rather than focusing on individual factors. Here, we provide a universal explanation for the emergence of Gompertzian mortality patterns using a systems approach to describe aging in complex organisms that consist of many inter-dependent subsystems. Our model relates to the Sufficient-Component Cause Model, widely used within the field of epidemiology, and we show that including inter-dependencies between subsystems and modeling the temporal evolution of subsystem failure results in Gompertizan mortality on the population level. Our model also provides temporal trajectories of mortality-risk for the individual. These results may give insight into understanding how biological age evolves stochastically within the individual, and how this in turn leads to a natural heterogeneity of biological age in a population.

AB - Understanding and facilitating healthy aging has become a major goal in medical research and it is becoming increasingly acknowledged that there is a need for understanding the aging phenotype as a whole rather than focusing on individual factors. Here, we provide a universal explanation for the emergence of Gompertzian mortality patterns using a systems approach to describe aging in complex organisms that consist of many inter-dependent subsystems. Our model relates to the Sufficient-Component Cause Model, widely used within the field of epidemiology, and we show that including inter-dependencies between subsystems and modeling the temporal evolution of subsystem failure results in Gompertizan mortality on the population level. Our model also provides temporal trajectories of mortality-risk for the individual. These results may give insight into understanding how biological age evolves stochastically within the individual, and how this in turn leads to a natural heterogeneity of biological age in a population.

KW - Humans

KW - Models, Biological

KW - Aging

KW - Phenotype

KW - Biomedical Research

KW - Healthy Aging

KW - Mortality

U2 - 10.1038/s41598-024-51669-5

DO - 10.1038/s41598-024-51669-5

M3 - Journal article

C2 - 38216698

VL - 14

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 1196

ER -

ID: 381556083

Niels Bohr Institute