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Modeling the Entire Human Mortality Curve: A Regulatory Model of Aging
Biophysics Pub Date : 2020-01-01 , DOI: 10.1134/s0006350920010054
V. I. Dontsov , V. N. Krut’ko

Abstract —Modeling of the human aging process was performed based on the relationship between overall viability and the processes of growth and self-renewal of tissues, which is presumably regulated by the centers of the vegetative brain. The presence of two regulatory centers, which stimulate and inhibit such growth, as well as the spontaneous degradation of the cells in those centers at different rates, allowed us to simulate the periods of growth, retardation, and decrease of the rate of the growth or self-renewal of tissues. The resulting curve corresponds to the real entire mortality intensity curve for populations, which is known to best describe the growth and aging processes. Such a correspondence between the model and the mortality curve, which is usually described by the Gompertz formula only for the middle part of the curve, was obtained for the first time. The model complies with the regulatory theory of aging and connects aging processes with the processes of regulation of growth and tissue self-renewal.

中文翻译:

模拟整个人类死亡率曲线:衰老的调节模型

摘要 —人类衰老过程的建模是基于整体活力与组织生长和自我更新过程之间的关系进行的,这可能是由植物大脑的中枢调节的。两个调节中心的存在,它们刺激和抑制这种生长,以及这些中心中细胞以不同速率的自发降解,使我们能够模拟生长、延迟和生长速率下降的时期或组织的自我更新。由此产生的曲线对应于人口的实际整个死亡率强度曲线,众所周知,它最能描述生长和老化过程。这种模型与死亡率曲线的对应关系,通常用 Gompertz 公式描述,只针对曲线的中间部分,是第一次获得。该模型符合衰老调节理论,将衰老过程与生长调节和组织自我更新过程联系起来。
更新日期:2020-01-01
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