The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms
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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.
I: Scientific Reports, Bind 14, Nr. 1, 1196, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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
N1 - © 2024. The Author(s).
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